Skocz do pozycji: 1.

Tytuł:

The road to conscious machines: AI through failed ideas

Autorzy:

Krzanowski, Roman

Powiązania:

https://bibliotekanauki.pl/articles/1943050.pdf

Data publikacji:

2021-11-07

Wydawca:

Copernicus Center Press

Tematy:

artificial intelligence
history of artificial intelligence
artificial intelligence paradigms
future of artificial intelligence

Opis:

Presented here is a review of the book by Michael Wooldridge The Road to Conscious Machines: The Story of AI. The book was published in 2021 by Pelican Publishing Company. The book presents a philosophical exploration of the AI-related quest to understand the essence of our minds, ethics, and consciousness. Nonetheless, the book is unconventional as it focuses on failures of past AI programs rather than on AI success stories. The author also indicates the possible pathways to develop new, more efficient AI paradigms. The short technical section at the end of the book offers more in-depth information on topics like Prolog, Bayesian, and deep neural networks.

Źródło:

Zagadnienia Filozoficzne w Nauce; 2021, 70; 171-181
0867-8286
2451-0602

Pojawia się w:

Zagadnienia Filozoficzne w Nauce

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 2.

Tytuł:

Jeszcze raz o ucieleśnionej sztucznej inteligencji
Embodied artificial intelligence once again

Autorzy:

Sarosiek, Anna

Powiązania:

https://bibliotekanauki.pl/articles/690932.pdf

Data publikacji:

2017

Wydawca:

Copernicus Center Press

Tematy:

artificial intelligence
good old-fashioned artificial intelligence
embodied artificial intelligence
embodied mind

Opis:

Book review of: Vincent C. Müller (ed.), Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, pp. 570.
Recenzja książki: Vincent C. Müller (red.), Fundamental issues of artificial intelligence, Springer International Publishing AG, 2016, ss. 570.

Źródło:

Zagadnienia Filozoficzne w Nauce; 2017, 63; 231-240
0867-8286
2451-0602

Pojawia się w:

Zagadnienia Filozoficzne w Nauce

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 3.

Tytuł:

Ways of optimization of breeding conditions of fish by using artificial spawning grounds

Autorzy:

Marenkov, Oleh
Fedonenko, Olena

Powiązania:

https://bibliotekanauki.pl/articles/1182952.pdf

Data publikacji:

2016

Wydawca:

Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN

Tematy:

fish
spawning
artificial spawning ground
artificial reefs
spawning nests

Opis:

The monograph presents ways of optimization of the reproduction of fish fauna due to the use of artificial spawning nests. There is classification of fish by nature, terms and conditions of the spawning course. Spawning nests divided according to the nature of fish spawning. There is given characteristic with describing and depicting of spawning grounds designs. It is indicated what species of fish and in what waters they can be used and also the efficiency and cost of their creation, use and maintenance. The book is intended for specialists in the field of ichthyology, ecology, hydrobiology, fisheries, public organizations activists, students and graduate students of higher educational institutions in "Biology" and "Water Biological resources".

Źródło:

World Scientific News; 2016, 49, 1; 1-58
2392-2192

Pojawia się w:

World Scientific News

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 4.

Tytuł:

Research and applications of artificial neural networks in spatial analysis: Review

Autorzy:

Garczyńska, Ilona

Powiązania:

https://bibliotekanauki.pl/articles/29521035.pdf

Data publikacji:

2023

Wydawca:

Akademia Morska w Szczecinie. Wydawnictwo AMSz

Tematy:

spatial analysis
GIS
artificial neural network
artificial intelligence
geosciences

Opis:

The conducted review presents the possibility of using artificial neural networks in sectors related to environmental protection, agriculture, forestry, land uses, groundwater and bathymetric. Today there is a lot of research in these areas with different research methodologies. The result is the improvement of decision-making processes, design, and prediction of certain events that, with appropriate intervention, can prevent severe consequences for society. The review shows the capabilities to optimize and automate the processes of modeling urban and land dynamics. It examines the forecasts of assessment of the damage caused by natural phenomena. Detection of environmental changes via the analysis of certain time intervals and classification of objects on the basis of different images is presented. The practical aspects of this work include the ability to choose the correct artificial neural network model depending on the complexity of the problem. This factor is a novel element since previously reviewed articles did not encounter a study of the correlation between the chosen model or algorithm, depending on the use case or area of the problem. This article seeks to outline the reason for the interest in artificial intelligence. Its purpose is to find answers to the following questions: How can artificial neural networks be used for spatial analysis? What does the implementation of detailed algorithms depend on? It is proved that an artificial intelligence approach can be an effective and powerful tool in various domains where spatial aspects are important.

Źródło:

Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2023, 74 (146); 35-45
1733-8670
2392-0378

Pojawia się w:

Zeszyty Naukowe Akademii Morskiej w Szczecinie

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 5.

Tytuł:

Artificial Intelligence: opportunities and concerns in the era of Big Data. Ethical and practical issues with decision-making and Generative AI in the era of ChatGPT
Sztuczna inteligencja: możliwości i obawy w erze Big Data. Etyczne i praktyczne kwestie związane z podejmowaniem decyzji i generatywną sztuczną inteligencją w erze ChatGPT

Autorzy:

Varvarà, Giulia

Powiązania:

https://bibliotekanauki.pl/articles/32388079.pdf

Data publikacji:

2023

Wydawca:

Fundacja PSC

Tematy:

Artificial intelligence
Ethics
Generative artificial intelligence
Data-driven decisions

Opis:

Artificial Intelligence has made impressive progress in the past few decades, and, especially in the last couple of years, so many different systems able to simulate human response in a very realistic and coherent way have been made available to the general public. This has opened the road to new possibilities for the use of AI in a variety of contexts, starting from the use of generative AI to the shortening of otherwise long working tasks (such as programming). However, it also created unforeseen issues that have yet to be addressed, since there is a lack of legal and ethical guidelines for the use of these new AI tools. This article analyses some of the most controversial applications of these new AI systems, highlighting both problems and ethical concerns, as well as the possible ways in which they can be dealt with in the future.

Źródło:

Alcumena. Pismo Interdyscyplinarne; 2023, 2(14); 85-100
2719-9851

Pojawia się w:

Alcumena. Pismo Interdyscyplinarne

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 6.

Tytuł:

Świat pod lupą fenomenologa
The world under the microscope of a phenomenologist

Autorzy:

Psica, Sylwia

Powiązania:

https://bibliotekanauki.pl/articles/690930.pdf

Data publikacji:

2017

Wydawca:

Copernicus Center Press

Tematy:

phenomenology
artificial intelligence

Opis:

Book review of: Aleksandra K. Przegalińska, Istoty wirtualne. Jak fenomenologia zmieniła sztuczną inteligencję, Wydawnictwo Universitas, Kraków 2016, ss. 268.
Recenzja książki: Aleksandra K. Przegalińska, Istoty wirtualne. Jak fenomenologia zmieniła sztuczną inteligencję, Wydawnictwo Universitas, Kraków 2016, ss. 268.

Źródło:

Zagadnienia Filozoficzne w Nauce; 2017, 63; 241-248
0867-8286
2451-0602

Pojawia się w:

Zagadnienia Filozoficzne w Nauce

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 7.

Tytuł:

Potential and use of the googlenet ann for the purposes of inland water ships classification

Autorzy:

Bobkowska, Katarzyna
Bodus-Olkowska, Izabela

Powiązania:

https://bibliotekanauki.pl/articles/1573774.pdf

Data publikacji:

2020

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

ship classification
image classification
geoinformatics
artificial intelligence
artificial neural network

Opis:

This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and Identification (SHREC) project. The image repository for the training purposes consists about 6,000 images of different categories of the vessels. Some images were gathered from internet websites, and some were collected by the project’s video cameras. The GoogLeNet network was trained and tested using 11 variants. These variants assumed modifications of image sets representing (e.g., change in the number of classes, change of class types, initial reconstruction of images, removal of images of insufficient quality). The final result of the classification quality was 83.6%. The newly obtained neural network can be an extension and a component of a comprehensive geoinformatics system for vessel recognition.

Źródło:

Polish Maritime Research; 2020, 4; 170-178
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 8.

Tytuł:

The survey of soft computing techniques for reliability prediction

Autorzy:

Smoczek, J.

Powiązania:

https://bibliotekanauki.pl/articles/246835.pdf

Data publikacji:

2012

Wydawca:

Instytut Techniczny Wojsk Lotniczych

Tematy:

reliability prediction
artificial intelligence
fuzzy logic
artificial neural network
genetic algorithm

Opis:

The objective of reliability prediction is to estimate a time of upcoming nonoperational state at the current operational state of a system through real-time monitoring operational parameters and/or performances. Hence, the predictive (proactive) maintenance in industrial systems involves operational conditions monitoring and online forecasting the useful life of machines equipment to support the decision-making process in selection of the best maintenance action to be carried out. The advanced warning of the failure possibility can bring the attention of machines operators and maintenance personnel to impending danger, and facilitate planning preventive and corrective operations, as well as inventory managing. This problem has been extensively studied in many scientific works, where the predictive models are based on the data-driven approaches that can be generally divided into statistical techniques (regression, ARMA models, Bayesian probability distribution estimation, etc.), grey system theory, and soft computing methods. The artificial intelligence is frequently addressed to the predictive problem by utilizing the learning capability of artificial neural network (ANN), and possibility of nonlinear mapping using fuzzy rules-based system (FRBS) or recognizing and optimizing data-derived pattern by using evolutionary algorithms. The paper is a survey of intelligent methods for failure prediction, and delivers the review of examples of scientific works presenting the computational intelligence-based approaches to predictive problem.

Źródło:

Journal of KONES; 2012, 19, 3; 407-414
1231-4005
2354-0133

Pojawia się w:

Journal of KONES

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 9.

Tytuł:

Selecting Generators for Creating Real Valued Detectors in Ship Immune System

Autorzy:

Praczyk, T.

Powiązania:

https://bibliotekanauki.pl/articles/320829.pdf

Data publikacji:

2010

Wydawca:

Polskie Forum Nawigacyjne

Tematy:

identification
artificial immune system

Opis:

The task of the ship immune system is to differentiate self objects, i.e. objects that are not dangerous to our ship, from other objects that can be a potential threat. To perform the task the system makes use of a set of detectors. The detectors imitate signatures of non-self objects and they are generated at random. In order for the detectors to be able to effectively perform their task they have to be constructed in appropriate way. Since, random generators are used to form detectors the problem is to select a generator producing the most effective detectors. In order to select an appropriate generator, experiments were carried out. In the experiments, the task of the ship immune system was to differentiate self and non-self ship radio stations. Results of the experiments are presented at the end of the paper.

Źródło:

Annual of Navigation; 2010, 16; 99-108
1640-8632

Pojawia się w:

Annual of Navigation

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 10.

Tytuł:

Mobile robot navigation with the use of semantic map constructed from 3D laser range scans

Autorzy:

Siemiątkowska, B.
Szklarski, J.
Gnatowski, M.

Powiązania:

https://bibliotekanauki.pl/articles/206413.pdf

Data publikacji:

2011

Wydawca:

Polska Akademia Nauk. Instytut Badań Systemowych PAN

Tematy:

artificial intelligence
robotics
mapping

Opis:

We describe a system allowing a mobile robot equipped with a 3D laser range finder to navigate in the indoor and outdoor environment. A global map of the environment is constructed, and the particle filter algorithm is used in order to accurately determine the position of the robot. Based on data from the laser only, the robot is able to recognize certain classes of objects like a floor, a door, a washbasin, or a wastebasket, and places like corridors or rooms. For complex objects, the recognition process is based on the Haar feature identification. When an object is detected and identified, its position is associated with the appropriate place in the global map, making it possible to give orders to the robot with the use of semantic labels, e.g., "go to the nearest wastebasket ". The obstaclefree path is generated using a Cellular Neural Network, accounting for travel costs with distance or ground quality. This path planning method is fast and in comparison with the potential field method it does not suffer from the local minima problem. We present some results of experiments performed in a real indoor environment.

Źródło:

Control and Cybernetics; 2011, 40, 2; 437-453
0324-8569

Pojawia się w:

Control and Cybernetics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 11.

Tytuł:

Artificial Intelligence in science and everyday life, its application and development prospects

Autorzy:

Słapczyński, Tomasz

Powiązania:

https://bibliotekanauki.pl/articles/19233635.pdf

Data publikacji:

2022-12-30

Wydawca:

Wyższa Szkoła Finansów i Prawa w Bielsku-Białej

Tematy:

Artificial Intelligence application
Rules of Artificial Intelligence
Artificial Intelligence programming
AI in business
AI in law
AI in Politics

Opis:

The main purpose of the article is to determine the impact of artificial intelligence on society and industry. What role the development of this technology will play on the economy and society in the future. The question should be asked: how will artificial intelligence affect society and what will be the effects of its increasingly widespread use and whether it poses any threats. The main methods used in the article are the analysis of scientific literature, synthesis of collected facts and knowledge obtained from official data, e.g. documentation of programming languages. The main conclusions from the paper is the growing importance of AI for society and its development, which will affect into various areas of life.

Źródło:

Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej; 2022, 26, 4; 78-85
2543-9103
2543-411X

Pojawia się w:

Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 12.

Tytuł:

From immunology to modeling, processing and analysis of data
Od immunologii do modelowania, przetwarzania i analiz danych

Autorzy:

Lasek, Mirosława
Lasek, Witold
Pęczkowski, Marek

Powiązania:

https://bibliotekanauki.pl/articles/432071.pdf

Data publikacji:

2013

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Tematy:

immunology
immunocomputing
artificial immune system
algorithms of artificial immune systems
representation of the elements of biological systems in artificial immune systems
the use of artificial immune algorithms in practice

Opis:

Observation of nature is often the inspiration for unconventional and innovative ideas, proposals, suggestions, overall concepts for carrying out modeling phenomena and technical processes, economic, processing and analysis of statistical data. Artificial neural networks, genetic algorithms and evolutionary algorithms were created as an imitation of biological solutions. In recent years, the rapid development of immunological algorithms which are based on the action of the human immune system, has occurred. These algorithms are used in mathematics, engineering, problem solving in decision making, management, economics, finance. At the beginning of this article we describe the action of the human immune system, which is the basis for the construction of immune algorithms. Then we present the most important mechanisms influencing the operation and construction of the algorithms based on biological mechanisms of the immune system, in particular the negative selection, immune network, clonal selection. Then we describe how the elements and mechanisms of artificial immune system algorithms are represented to enable modeling, processing and analysis of data. In the last part of the article to illustrate the wide range of possibilities of using immune algorithms to solve various sorts of problems from a completely different fields, we present examples of applications that involve the assessment of bank borrowers, the task of coloring a graph belonging to combinatorial optimization problems, a multi-dimensional classification, fault detection.

Źródło:

Informatyka Ekonomiczna; 2013, 4(30); 196-225
1507-3858

Pojawia się w:

Informatyka Ekonomiczna

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 13.

Tytuł:

Acciones para combatir el impacto del crimen en el ciberespacio. Prevención y detección con la Inteligencia Artificial
Actions to combat the impact of crime in cyberspace. Prevention and detection with Artificial Intelligence

Autorzy:

Guzmán, Silvia Irene Verdugo
Casteleiro, Ana Ochoa

Powiązania:

https://bibliotekanauki.pl/articles/2158851.pdf

Data publikacji:

2022

Wydawca:

Krakowska Akademia im. Andrzeja Frycza Modrzewskiego

Tematy:

artificial intelligence
darknet
cibercrime
hacker
cibersecurity
inteligencia artificial
internet oscura
cibercrimen
ciberdelincuente
ciberseguridad

Opis:

Los últimos dos siglos hemos visto nuevos tipos de delitos que han pasado a un primer plano, y que los delitos tradicionales han adoptado diferentes formas o un alcance completamente nuevo, especialmente digital. La especificidad de distintos ciberdelitos se encuentra en la internet profunda o Darknet, tales como el fraude informático, los ataques informáticos, abuso sexual y la explotación sexual de niños a través de sistemas informáticos etc. La aparición del nuevo coronavirus SARS-CoV-2 a fines del 2019 y la pandemia declarada por COVID-19 causada por el virus a comienzos del 2020, han servido para subrayar la importancia del combate al cibercrimen. La denuncia e investigación de delitos es crucial para las unidades policiales y las partes interesadas en la comprensión y análisis del ciberdelito. Entonces, gracias al desarrollo de la Inteligencia Artificial (I.A) y la recopilación de datos estadísticos son utilizados para realizar evaluaciones de delitos, castigos o sanciones, e identificar a las personas investigadas o perseguidas. La construcción de la cooperación en I.A con las partes interesadas en todo el sector público, la industria, la academia, así como las entidades de seguridad relacionadas, agencias de inteligencia etc., es un próximo paso esencial. También, cabe referirse a la ciberseguridad, que juega un papel importante en la defensa de las personas, de empresas e infraestructuras. Los proveedores de seguridad digital se enfocan en usuarios, dispositivos, redes, datos, aplicaciones o empresas para brindar soluciones con el fin de detectar y responder ante una amenaza cibernética.
Over the past two centuries, we have seen emerging types of crimes coming to the fore and traditional crimes taking on different forms or an entirely new scope altogether. Specificity of various cybercrimes are on the darknet, how computer fraud, computer attacks, the sexual abuse and sexual explotation of children through computer systems, etc. The emergence of the novel SARS-CoV-2 coronavirus in late 2019 and the ongoing COVID-19 pandemic caused by the virus on 2020, has served to underscore the importance of combat to cibercrime. The reporting and research of crimes is crucial for police units and stakeholders in understanding and analysis cybercrime. So, the I.A and collection of stadistical data information are used to evaluations of crime, punishments or sanctions and identifying the people investigated or persecuted. Building cooperation on I.A with stakeholders throughout the public sector, industry, academia, as well as related security entities, intelligence agencies and so on, is an essential next step. Also, the cybersecurity plays an important role in defending individuals, industry and infrastructure. Security vendors focus on users, network, data, application or entire enterprises to provide solutions to detect and respond to cyber threats.

Źródło:

Studia Prawnicze: rozprawy i materiały; 2022, (30), 1; 15-24
1689-8052
2451-0807

Pojawia się w:

Studia Prawnicze: rozprawy i materiały

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 14.

Tytuł:

The study of colour changes under artificial weathering of light red meranti and yellow balau wood from Shorea genus

Autorzy:

Jankowska, Agnieszka

Powiązania:

https://bibliotekanauki.pl/articles/2200139.pdf

Data publikacji:

2020

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie

Tematy:

artificial aging
artificial weathering
light red meranti
yellow balau
tropical wood
colour stability

Opis:

The study of colour changes under artificial weathering of light red meranti and yellow balau wood from Shorea genus. This paper deals with the change in colour of selected tropical wood species from Shorea genus such as light red meranti and yellow balau. The artificial weathering method was used to determine the colour stability of wood surface. The used ageing method consisted of alternating soaking wood in water, drying at a temperature of 70°C and UV irradiation exposure. The colour changes were evaluated using CIE L*C*h system. Changes of particular colour parameters (lightness L*, chroma C*, hue h) were determine as well as the total colour change ΔE*. The results showed that tested species of wood change their colour similarly under the influence of the artificial weathering (the changes in the tested wood appearance occurred in similar scope). Surfaces of tested wood species initially became darker and then lighter. The largest changes in intensity of the colour of wood took place at the beginning of artificial weathering process. The intensity of changes decreased with the progress of aging process.
Badanie zmian barwy drewna meranti różowego i balau jasnego z rodzaju Shorea. Niniejszy artykuł dotyczy zmiany barwy dwóch gatunków drewna tropikalnego z rodzaju Shorea, takich jak meranti różowego i balau jasnego. Do określenia stabilności barwy powierzchni drewna zastosowano metodę sztucznego starzenia, która polegała na naprzemiennym moczeniu drewna w wodzie, suszeniu w temperaturze 70°C i ekspozycji na promieniowanie UV. Przeprowadzono 60 cykli sztucznego starzenia. Zmiany barwy oceniono za pomocą systemu CIE L*C*h. Określono zmiany poszczególnych parametrów barwy (jasność L*, barwa C*, odcień h), a także całkowitą zmianę barwy ΔE*. Wyniki przeprowadzonych badań pozwalają na stwierdzenie, że barwa badanego drewna zmienia się podobnie (zmiany występowały w podobnym zakresie). Powierzchnie badanych gatunków drewna początkowo stały się ciemniejsze, a następnie jaśniejsze. Największe zmiany w intensywności barwy drewna miały miejsce na początku procesu sztucznego starzenia. W trakcie jego trwania intensywność zmian malała.

Źródło:

Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology; 2020, 111; 37--42
1898-5912

Pojawia się w:

Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 15.

Tytuł:

Comparison of data mining techniques to predict and map the Atterberg limits in central plateau of Iran

Autorzy:

Amin, Peyman
Taghizadeh-Mehrjardi, Ruhollah
Akbarzadeh, Ali
Shirmardi, Mostafa

Powiązania:

https://bibliotekanauki.pl/articles/762833.pdf

Data publikacji:

2018

Wydawca:

Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej

Tematy:

Atterberg limits, artificial bee colony, artificial neural networks, support vector machine, regression tree

Opis:

The Atterberg limits display soil mechanical behavior and, therefore, can be so important for topics related to soil management. The aim of the research was to investigate the spatial variability of the Atterberg limits using three most common digital soil-mapping techniques, the pool of easy-to-obtain environmental variables and 85 soil samples in central Iran. The results showed that the maximum amount of liquid limit (LL) and plastic limit (PL) were obtained in the central, eastern and southeastern parts of the study area where the soil textural classes were loam and clay loam. The minimum amount of LL and PL were related to the northwestern parts of the study area, adjacent to the mountain regions, where the samples had high levels of sand content (>80%). The ranges of plasticity index (PI) in the study area were obtained between 0.01 to 4%. According to the leave-in-out cross-validation method, it should be highlighted the combination of artifiial bee colony algorithm (ABC) and artifiial neural network (ANN) techniques were the best model to predict the Atterberg limits in the study area, compared to the support vector machine and regression tree model. For instance, ABC-ANN could predict PI with RMSE, R2 and ME of 0.23, 0.91 and -0.03, respectively. Our fiding generally indicated that the proposed method can explain the most of variations of the Atterberg limits in the study area, and it could berecommended, therefore, as an indirect approach to assess soil mechanical properties in the arid regions, where the soil survey/sampling is difficult to undertake.

Źródło:

Polish Journal of Soil Science; 2018, 51, 2
0079-2985

Pojawia się w:

Polish Journal of Soil Science

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 16.

Tytuł:

Las alternativas para una tributación de la robótica
The alternatives for a robotics taxation

Autorzy:

Parada, Luis Miguel Muleiro

Powiązania:

https://bibliotekanauki.pl/articles/2158865.pdf

Data publikacji:

2022

Wydawca:

Krakowska Akademia im. Andrzeja Frycza Modrzewskiego

Tematy:

inteligencia artificial
tributos
justicia
simplificación
artificial intelligence
robots
taxes
tax justice
tax simplification

Opis:

A estas alturas del siglo XXI parece deseable reflexionar desde el rigor científico sobre las posibilidades reales de incidir con técnicas impositivas que hagan contribuir específicamente a la robótica sin distorsionar ni complicar más todavía el sistema tributario. Una sociedad progresivamente robotizada en el entorno global digitalizado requiere plantearse la posibilidad de un gravamen en el marco de la inteligencia artificial aplicada. En los últimos años, diferentes voces han defendido la necesidad de alcanzar un tratamiento jurídico acorde a la nueva realidad en la que el imparable avance de la robótica está abriendo paso a una verdadera transformación social. En el ámbito tributario se han proyectado diversas alternativas, desde la posibilidad de regular un tributo referido al trabajo ejecutado por robots hasta exigir un gravamen específico o adicional por el uso y mantenimiento de los mismos. Pese a que las alternativas son bien diferentes la justicia tributaria debe mantenerse como prisma básico de evaluación.
In recent years different voices have defended the necessity to achieve a legal treatment according to the new reality, given that, the relentless advance of robotics is paving its path to a profound social transformation. A society, which is progressively automated in the digitised global environment, requires to formulate the possibility of a taxation within the applied artificial intelligence framework. Several alternatives have been proposed under the tax environment, from regulating a tax referred to the task executed by robots until demanding a specific or additional taxation on account of their use and maintenance. A priori, the alternatives are numerous but these required to be assessed from the perspective regarding the minimum determinants of the tax justice. In this paper, we will analyse what challenges the taxation deals, considering the necessary postulates that impose the fundamental guidelines of the tax order. The material principles of justice are reinterpreted in their content by their own digital revolution. These notions must clearly report the design of any suggestion and respect satisfactorily the configuration of the essential elements of a tax. At this stage in the 21st century, it seems desirable to reflect from the scientific rigour on the real possibilities of influencing by means of using tax techniques. These techniques could specifically contribute to robotics, but without distorting and complicating further the taxation system.

Źródło:

Studia Prawnicze: rozprawy i materiały; 2022, (30), 1; 105-115
1689-8052
2451-0807

Pojawia się w:

Studia Prawnicze: rozprawy i materiały

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 17.

Tytuł:

Wykorzystanie techniki AdaBoost w modelach opartych na regresji z wykorzystaniem sztucznej inteligencji
Use of AdaBoost technique in regression based models using artificial intelligence

Autorzy:

Wołoszyn, Jacek

Powiązania:

https://bibliotekanauki.pl/articles/445996.pdf

Data publikacji:

2019

Wydawca:

Uniwersytet Rzeszowski

Tematy:

AdaBoost
sztuczna inteligencja
artificial intelligence

Opis:

Artykuł opisuje wykorzystanie sztucznej inteligencji w obliczeniach regresyjnych. Modele zbudowane w sposób tradycyjny oparte na klasycznych założeniach dostarczają możliwie precy-zyjnych informacji. Sam proces budowy modelu opiera się na wstępnym wyborze zmiennych wykorzystanych do jego tworzenia. Umiejętna selekcja zmiennych ma istotny wpływ na uzyskane parametry. Wykorzystując rozwiązanie przedstawione w tej pracy otrzymujemy model ze wstępnie dobranym optymalnym zbiorem treningowym. W kolejnych rozdziałach omówiono istotę analityki predykcyjnej, proces uczenia maszyno-wego, budowę drzewa decyzyjnego, pokazano przykład regresji wykorzystującego AdaBoost.
This article describes the use of artificial intelligence in regression calculations. Models built in a traditional manner based on classical assumptions provide the most precise information possi-ble. The model building process itself is based on the initial selection of variables used to create it. Skillful selection of variables has a significant impact on the obtained parameters. Using the solu-tion presented in this work, we get a model with a pre-selected optimal training set. The following chapters discuss the essence of predictive analytics, the machine learning pro-cess, the construction of a decision tree, an example of regression using AdaBoost.

Źródło:

Dydaktyka informatyki; 2019, 14; 162-169
2083-3156

Pojawia się w:

Dydaktyka informatyki

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 18.

Tytuł:

Parallel implementation of neural networks with the use of GPGPU technology OpenCL

Autorzy:

Kłyś, M.
Szymczyk, M.
Szymczyk, P.
Gajer, M.

Powiązania:

https://bibliotekanauki.pl/articles/114679.pdf

Data publikacji:

2015

Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Tematy:

OpenCL
Artificial Neural Networks
GPGPU

Opis:

The article discusses possibilities of implementing a neural network in a parallel way. The issues of implementation are illustrated with the example of the non-linear neural network. Parallel implementation of earlier mentioned neural network is written with the use of OpenCL library, which is a representative of software supporting general-purpose computing on graphics processor units (GPGPU). The obtained results demonstrate that some group of algorithms can be computed faster if they are implemented in a parallel way and run on a multi-core processor (CPU) or a graphics processing unit (GPU). In case of the GPU, the implemented algorithm should be divided into many threads in order to perform computations faster than on a multi-core CPU. In general, computations on a GPU should be performed when there is a need to process a large amount of data with the use of algorithm which is very well suited to parallel implementation.

Źródło:

Measurement Automation Monitoring; 2015, 61, 1; 16-20
2450-2855

Pojawia się w:

Measurement Automation Monitoring

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 19.

Tytuł:

Advanced rehabilitation device based on artificial muscle actuators with neural network implementation

Autorzy:

Židek, K.
Líška, O.
Maxim, V.

Powiązania:

https://bibliotekanauki.pl/articles/384345.pdf

Data publikacji:

2012

Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Tematy:

rehabilitation
automation
artificial muscle
control

Opis:

In this paper the rehabilitation device for upper arm based on artificial muscles is introduced. Presented automated rehabilitation device has three degrees of freedom: 2 DOF in arm and 1 DOF in elbow that provides almost all basic rehabilitation exercises. Artificial pneumatics muscles will be tested in connection with spring and antagonistic connection. This system provides lifting and falling of arm construction based on patient force. There is possibility to generate help force during rehabilitation or opposite load. Artificial muscles are controlled by pneumatic valves terminal from micro computer based on MCU. Higher level control system provides artificial intelligence implementation based on neural network for prediction and change of load according sensor values history (incremental sensor, pressure sensor). For prototype testing there is described usability of industrial robot to test precision of load and trajectories during rehabilitation. This automatic rehabilitation device will help to reduce therapeutics work with patient, automate and improve rehabilitation process.

Źródło:

Journal of Automation Mobile Robotics and Intelligent Systems; 2012, 6, 3; 30-32
1897-8649
2080-2145

Pojawia się w:

Journal of Automation Mobile Robotics and Intelligent Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 20.

Tytuł:

The development of Kalman Filter learning technique for Artificial Neural Networks

Autorzy:

Krok, A.

Powiązania:

https://bibliotekanauki.pl/articles/308081.pdf

Data publikacji:

2013

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Tematy:

Artificial Neural Networks
Kalman filter

Opis:

The paper presents an idea of using the Kalman Filtering (KF) for learning the Artificial Neural Networks (ANN). It is shown that KF can be fully competitive or more beneficial method with comparison standard Artificial Neural Networks learning techniques. The development of the method is presented respecting selective learning of chosen part of ANN. Another issue presented in this paper is the author’s concept of automatic selection of architecture of ANN learned by means of KF based on removing unnecessary connection inside the network. The effectiveness of presented ideas is illustrated on the examples of time series modeling and prediction. Considered data came from the experiments and situ measurements in the field of structural mechanics and materials.

Źródło:

Journal of Telecommunications and Information Technology; 2013, 4; 16-21
1509-4553
1899-8852

Pojawia się w:

Journal of Telecommunications and Information Technology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 21.

Tytuł:

Integration of product design and manufacturing with the use of artificial intelligent methods

Autorzy:

Kutschenreiter-Praszkiewicz, I.

Powiązania:

https://bibliotekanauki.pl/articles/99801.pdf

Data publikacji:

2011

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

product design
manufacturing
artificial intelligence

Opis:

Product and process design is time- and cost consuming [15]. To reduce the cost of product development, it is necessary to integrate product and process design. The proposed product planning approach integrates activities involved in product design and manufacturing process. The aim of this paper is to develop a method of knowledge integration about customer needs, product and process characteristics. The range of analyses is limited to mechanical product type manufacturing for institutional customers. Customer needs are focused on functional characteristics of the product and the trade characteristics include product price, timing and warranty. Integration of functional requirements, product and process characteristics is needed to select the best product from a catalogue and adapt it to particular customer needs. From the given set of products, where a product is described by a set of attributes, the subset is chosen which roughly satisfies customer needs. Basing on artificial intelligent (AI) methods, data related to redesign and production processes is estimated.

Źródło:

Journal of Machine Engineering; 2011, 11, No. 1-2; 46-53
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 22.

Tytuł:

A survey on multi-agent based collaborative intrusion detection systems

Autorzy:

Bougueroua, Nassima
Mazouzi, Smaine
Belaoued, Mohamed
Seddari, Noureddine
Derhab, Abdelouahid
Bouras, Abdelghani

Powiązania:

https://bibliotekanauki.pl/articles/2031138.pdf

Data publikacji:

2021

Wydawca:

Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych

Tematy:

IDS
CIDS
MAS
artificial Intelligence

Opis:

Multi-Agent Systems (MAS) have been widely used in many areas like modeling and simulation of complex phenomena, and distributed problem solving. Likewise, MAS have been used in cyber-security, to build more efficient Intrusion Detection Systems (IDS), namely Collaborative Intrusion Detection Systems (CIDS). This work presents a taxonomy for classifying the methods used to design intrusion detection systems, and how such methods were used alongside with MAS in order to build IDS that are deployed in distributed environments, resulting in the emergence of CIDS. The proposed taxonomy, consists of three parts: 1) general architecture of CIDS, 2) the used agent technology, and 3) decision techniques, in which used technologies are presented. The proposed taxonomy reviews and classifies the most relevant works in this topic and highlights open research issues in view of recent and emerging threats. Thus, this work provides a good insight regarding past, current, and future solutions for CIDS, and helps both researchers and professionals design more effective solutions.

Źródło:

Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 2; 111-142
2083-2567
2449-6499

Pojawia się w:

Journal of Artificial Intelligence and Soft Computing Research

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 23.

Tytuł:

Evidence from Artificial Intelligence in General Administrative Procedure

Autorzy:

Dubiński, Łukasz

Powiązania:

https://bibliotekanauki.pl/articles/28672992.pdf

Data publikacji:

2022

Wydawca:

Uniwersytet im. Adama Mickiewicza w Poznaniu

Tematy:

artificial intelligence
evidence
administrative procedure

Opis:

Artificial intelligence is becoming an element of everyday life, and also a part of administrative proceedings. The legislator systematically adds regulations that allow public administration bodies to use artificial intelligence. At the same time, the Code of Administrative Procedure has not been amended in this respect. The article tries to establish what artificial intelligence evidence is. In addition, the issue of whether the rules on administrative evidence should be changed to cover the use of AI evidence is examined.

Źródło:

Adam Mickiewicz University Law Review; 2022, 14; 251-280
2450-0976

Pojawia się w:

Adam Mickiewicz University Law Review

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 24.

Tytuł:

The design of an insulin pump concept of closing the loop

Autorzy:

Hawłas, H.
Lewenstein, K.

Powiązania:

https://bibliotekanauki.pl/articles/385242.pdf

Data publikacji:

2009

Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Tematy:

insulin pump
diabetes
artificial pancreas

Opis:

This paper explains what insulin pump is and outlines basic requirements for such device. The material presented in this paper is an attempt to collect actual knowledge about closed loop insulin delivery systems. From scientific point of view we are going to propose the closed loop insulin-dispensing device with control built on the base of predictive neural network system. The blocks of such systems are listed, and main problems to overcome are defined.

Źródło:

Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 4; 195-198
1897-8649
2080-2145

Pojawia się w:

Journal of Automation Mobile Robotics and Intelligent Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 25.

Tytuł:

Change Happens

Autorzy:

Abeles, Tom P.

Powiązania:

https://bibliotekanauki.pl/articles/426031.pdf

Data publikacji:

2017

Wydawca:

Szkoła Główna Handlowa w Warszawie

Tematy:

change
artificial intelligent system
technology

Źródło:

e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2017, 1 (68); 67-70
1731-6758
1731-7428

Pojawia się w:

e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 26.

Tytuł:

The identification of model parameters for a semi-empirical model of working process in the compression-ignition engine

Autorzy:

Brzozowski, K.
Nowakowski, J.

Powiązania:

https://bibliotekanauki.pl/articles/243901.pdf

Data publikacji:

2010

Wydawca:

Instytut Techniczny Wojsk Lotniczych

Tematy:

modelling
working cycle
artificial intelligence

Opis:

The paper concerns the identification process applied for a semi-empirical model of working process in the CI engine. The identification is based on pressure courses in the cylinder recorded during the experimental measurements on the test stand and is performed for estimation of values of the model parameters. Appropriate estimated values of the model parameters ensure minimization of the difference between measured and modelled pressure courses in the cylinder. The identification process can be divided into two stages. The first stage concerns identification of discrete values of the model parameters for a set of discrete engine operating conditions. The task of discrete identification is formulated as a dynamic optimisation task which is sohed using a genetic algorithm. The accuracy of the identification process is evaluated by comparison of measured and calculated values of main parameters which characterize the working cycle such as: the mean indicated pressure, thermal efficiency, the mean indicated pressure in working part of the cycle, maximal pressure of the cycle, the mass of the medium in the cylinder and the crankshaft angle for which the maximal pressure occurred. The second stage concerns generalization of the results for any technically possible engine operating conditions which is sohed by means of approximation. Feed-forward multilayer artificial neural networks are usedfor the approximation. The accuracy of the identification and some examples of verification of the model predictions are presented as well.

Źródło:

Journal of KONES; 2010, 17, 3; 41-48
1231-4005
2354-0133

Pojawia się w:

Journal of KONES

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 27.

Tytuł:

Some effect of the unbalanced development of human intelligence: from trans-monkeys to trans-humans
Pewien skutek niezrównoważonego rozwoju ludzkiej inteligencji: od transmałp do transludzi

Autorzy:

Sztumski, Wiesław

Powiązania:

https://bibliotekanauki.pl/articles/2081649.pdf

Data publikacji:

2021-09-22

Wydawca:

Państwowa Wyższa Szkoła Zawodowa w Raciborzu

Tematy:

artificial intelligence
transhuman
transhumanity
posthuman

Opis:

The article is devoted to the effects of the unsustainable development of human intelligence that began with the emergence of artificial intelligence do by the imbalance between the slow pace of development of natural (biological) intelligence and the accelerate pace of development of artificial (machine) intelligence. First, in a breakthrough phase of the anthropogenesis process, the development of natural intelligence transformed hominids, which had exceeded their natural abilities, into transhominids, that is, into humans. Now, the development of artificial intelligence transforms humans, which exceed their natural (innate) abilities into so-called transhumans. The progress of artificial intelligence is making a real revolution not only in the field of technology, but also in the economy, medicine, agriculture, transport, finance, insurance, trade, education, work, etc. Thanks to this, our world and we in it are changing at a dizzying pace. Artificial intelligence has become strategically the most important technology of the twenty-first century. The country with the most advanced artificial Therefore, the superpowers accelerate the development of artificial intelligence in competing for global domination. This implies a huge increase in financial outlays, which then are missing for the implementation of other important tasks, such, as for example, to fight poverty. Along with the development of artificial intelligence, its alienation progresses and this causes the dehumanization of people. The author presents a number of benefits and threats resulting from the use of artificial intelligence, which do not balance. Among the greatest threats, they are transhuman and artificial super-intelligence embodied in a super- robot. “The full development of artificial intelligence could spell the end of the human race. Man, who is limited by the slow evolution of biological intelligence, will not be able to compete with the transhuman, whose artificial intelligence is developing faster. He needs to be replaced by a transhuman”.1 Artificial intelligence is able to make man equal to God. It is not difficult to imagine what would happen if such a robot became the "god" who would rule the world and the cosmos, and on whose decisions or whims the fate of individuals, humanity, the world and the survival of our species would depend.

Źródło:

Eunomia – Rozwój Zrównoważony – Sustainable Development; 2021, 1(100); 159-170
1897-2349
2657-5760

Pojawia się w:

Eunomia – Rozwój Zrównoważony – Sustainable Development

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 28.

Tytuł:

Niemcy jako europejski i światowy ośrodek badań i rozwoju sztucznej inteligencji
Germany as an European and Global Center for Research and Development of Artificial Intelligence

Autorzy:

Dahl, Martin

Powiązania:

https://bibliotekanauki.pl/articles/558294.pdf

Data publikacji:

2019

Wydawca:

Uniwersytet Warszawski. Centrum Europejskie

Tematy:

Artificial Intelligence;
European Union;
Innovations;
Strategy of Artificial Intelligence;
Federal Government;
Republic of Germany;

Opis:

The Artificial Intelligence is one of the key technologies of the 21st century. Numerous countries conduct advanced research on Artificial Intelligence, in which they see the possibility of gaining technological advantage over other countries. Global leaders in research and development of Artificial Intelligence are the United States and China. Also single European countries have ambitions to play a significant role in the creation and development of this technology. As the largest European Union country, Germany published at the end of 2018 the Strategy of Artificial Intelligence of the Federal Government, which defines a number of objectives to implement and guidelines necessary to create from Germany a global center of Artificial Intelligence. In this context, the purpose of this article is to answer the question of whether Germany has a chance to become a leading European and world center for research and development on Artificial Intelligence.

Źródło:

Studia Europejskie - Studies in European Affairs; 2019, 2; 153-162
1428-149X
2719-3780

Pojawia się w:

Studia Europejskie - Studies in European Affairs

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 29.

Tytuł:

Comparison of an effectiveness of artificial neural networks for various activation functions
Porównanie efektywności sztucznych sieci neuronowych dla różnych funkcji aktywacji

Autorzy:

Florek, Daniel
Miłosz, Marek

Powiązania:

https://bibliotekanauki.pl/articles/24083568.pdf

Data publikacji:

2023

Wydawca:

Politechnika Lubelska. Instytut Informatyki

Tematy:

activation functions
artificial neural networks
artificial intelligence
funkcja aktywacji
sztuczne sieci neuronowe
sztuczna inteligencja

Opis:

Activation functions play an important role in artificial neural networks (ANNs) because they break the linearity in the data transformations that are performed by models. Thanks to the recent spike in interest around the topic of ANNs, new improvements to activation functions are emerging. The paper presents the results of research on the effectiveness of ANNs for ReLU, Leaky ReLU, ELU, and Swish activation functions. Four different data sets, and three different network architectures were used. Results show that Leaky ReLU, ELU and Swish functions work better in deep and more complex architectures which are to alleviate vanishing gradient and dead neurons problems. Neither of the three aforementioned functions comes ahead in accuracy in all used datasets, although Swish activation speeds up training considerably and ReLU is the fastest during prediction process.
Funkcje aktywacji, przełamując linową naturę transformacji zachodzących w sztucznych sieciach neuronowych (SSN), pozwalają na uczenie skomplikowanych wzorców występujących w danych wejściowych, np. w obrazach. Wzrost zain-teresowania wokół SSN skłonił naukowców do badań wokół różnolitych aktywacji, które mogą dać przewagę podczas uczenia jak i przewidywania, ostatecznie przyczyniając się do powstania nowych, interesujących rozwiązań. W artykule przedstawiono wyniki badań nad efektywnością SSN dla funkcji ReLU, Leaky ReLU, ELU oraz Swish, przy użyciu czterech zbiorów danych i trzech różnych architektur SSN. Wyniki pokazują, że funkcje Leaky ReLU, ELU i Swish lepiej sprawdzają się w głębokich i bardziej skomplikowanych architekturach, mając za zadanie zapobieganie proble-mom zanikającego gradientu (ang. Vanishing Gradient) i martwych neuronów (ang. Dead neurons). Żadna z trzech wyżej wymienionych funkcji nie ma przewagi w celności (ang. Accuracy), jednakże Swish znacznie przyspiesza ucze-nie SSN, a ReLU jest najszybsza w procesie przewidywania

Źródło:

Journal of Computer Sciences Institute; 2023, 26; 7--12
2544-0764

Pojawia się w:

Journal of Computer Sciences Institute

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 30.

Tytuł:

Zastosowanie sztucznych sieci neuronowych w analizie sygnałów elektrokardiograficznych
Using artificial neural networks for analysis of electrocardiographic signals

Autorzy:

Litwińska, M.

Powiązania:

https://bibliotekanauki.pl/articles/261498.pdf

Data publikacji:

2014

Wydawca:

Politechnika Wrocławska. Wydział Podstawowych Problemów Techniki. Katedra Inżynierii Biomedycznej

Tematy:

EKG
sztuczna inteligencja
sztuczne sieci neuronowe
Matlab
ECG
artificial intelligence
artificial neural networks
MATLAB

Opis:

Celem pracy było przebadanie możliwości zastosowania sztucznych sieci neuronowych do analizy i rozpoznawania sygnałów EKG. Artykuł zawiera przegląd zagadnień dotyczących EKG, pozyskiwania i interpretacji sygnałów oraz zastosowania sztucznych sieci neuronowych do diagnostyki. Znaczącym elementem pracy jest próba zaimplementowania w programie Matlab systemu rozróżniającego sygnały różnego typu.
The main goal of the work is to test the possibility of using artificial neural networks for analysis and recognition of ECG signals. The paper contains a review of issues related to ECG, acquisition and interpretation of signals, application of artificial neural networks in the diagnosis. A significant element is the attempt to implement the system for differentiating various types of signals using Matlab software.

Źródło:

Acta Bio-Optica et Informatica Medica. Inżynieria Biomedyczna; 2014, 20, 2; 80-94
1234-5563

Pojawia się w:

Acta Bio-Optica et Informatica Medica. Inżynieria Biomedyczna

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 31.

Tytuł:

Ataki na urządzenia mobilne i metody ich wykrywania

Autorzy:

Niewiadomska-Szynkiewicz, Ewa
Litka, Rafał

Powiązania:

https://bibliotekanauki.pl/articles/13947024.pdf

Data publikacji:

2023-02-20

Wydawca:

Akademia Sztuki Wojennej

Tematy:

cybersecurity
cyberattack detection
mobile applications
artificial
intelligence
machine learning
artificial neural networks
deep learning

Opis:

Individual protection of autonomous systems using simple analysis of transmitted messages is unfortunately becoming insufficient. There is a clear need for new solutions using data from multiple sources, integrating various methods, mechanisms and algorithms, including Big Data processing and data classification techniques using artificial intelligence methods. The quantity, quality, reliability and timeliness of data and information about the network situation, as well as the speed of its processing, determine the effectiveness of protection. The paper presents examples of the application of various artificial intelligence techniques for detecting attacks on ICT systems. Attention is focused on the application of deep learning methods for the detection of malicious applications installed on mobile devices. The effectiveness of the presented solutions was confirmed by numerous simulation experiments conducted on real data. Promising results were obtained.

Źródło:

Cybersecurity and Law; 2023, 9, 1; 95-107
2658-1493

Pojawia się w:

Cybersecurity and Law

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 32.

Tytuł:

Gdybym miłości nie miał. Miłość „ludzkich maszyn
If I do not have love. "Humanoid" Love

Autorzy:

Biegalska, Agnieszka

Powiązania:

https://bibliotekanauki.pl/articles/1048443.pdf

Data publikacji:

2014-01-01

Wydawca:

Uniwersytet im. Adama Mickiewicza w Poznaniu

Tematy:

miłość
sztuczne emocje
sztuczna inteligencja
sztuczna miłość
Człowiek 2.0
transhumanizm
love
artificial emotions
artificial intelligence
artificial love
Human 2.0 (the Cyberman)
transhumanism

Opis:

Is love characteristic only of homo sapiens? Is it only man that can love and be loved? Or has there come the time of the Cyberman – an artificial life partner to have sex with, to love and to marry? The attempt of answer to these questions is based on data collected within exact sciences and humanities, and in particular on the idea of a post-biological man of  transhumanism.

Źródło:

Filozofia Chrześcijańska; 2014, 11; 123-138
1734-4530
2450-0399

Pojawia się w:

Filozofia Chrześcijańska

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 33.

Tytuł:

Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm

Autorzy:

Khuat, T. T.
Le, Q. C.
Nguyen, B. L.
Le, M. H.

Powiązania:

https://bibliotekanauki.pl/articles/308651.pdf

Data publikacji:

2016

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Tematy:

Artificial Bee Colony algorithm
Artificial Neural Network
back-propagation algorithm
stock price forecasting
wavelet transform

Opis:

Stock prediction with data mining techniques is one of the most important issues in finance. This field has attracted great scientific interest and has become a crucial research area to provide a more precise prediction process. This study proposes an integrated approach where Haar wavelet transform and Artificial Neural Network optimized by Directed Artificial Bee Colony algorithm are combined for the stock price prediction. The proposed approach was tested on the historical price data collected from Yahoo Finance with different companies. Furthermore, the prediction result was found satisfactorily enough as a guide for traders and investors in making qualitative decisions.

Źródło:

Journal of Telecommunications and Information Technology; 2016, 2; 43-52
1509-4553
1899-8852

Pojawia się w:

Journal of Telecommunications and Information Technology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 34.

Tytuł:

Modelowanie neuronowe w procesie transportu wilgoci w ziarnie pszenicy
Moisture transport process in wheat seeds modeled with artificial neurons

Autorzy:

Szwedziak, K.

Powiązania:

https://bibliotekanauki.pl/articles/228441.pdf

Data publikacji:

2009

Wydawca:

Wyższa Szkoła Menedżerska w Warszawie

Tematy:

sorbent naturalny
sorbent sztuczny
suszenie
sieci neuronowe
natural absorbent
artificial absorbent
desiccation
artificial neutral networks

Opis:

W artykule opisano wykorzystanie sieci neuronowych do opisu transportu wilgoci w ziarnie pszenicy, podczas suszenia metodą niekonwencjonalną. Jako alternatywną metodę do suszenia konwencjonalnego zastosowano suszenie z wykorzystaniem sorbentu naturalnego, jakim było ziarno tego samego gatunku co ziarno suszone.
Usage of neutral networks as an instrument for describe moisture transport process in wheat seeds, during unconventional method of drying has been presented in article. As an alternative method for conventional drying natural absorbent desiccation method has been used. As an natural absorbent this same species of seeds as dried, has been used.

Źródło:

Postępy Techniki Przetwórstwa Spożywczego; 2009, 2; 24-26
0867-793X
2719-3691

Pojawia się w:

Postępy Techniki Przetwórstwa Spożywczego

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 35.

Tytuł:

Creating Marketing Knowledge about the Consumer in the Context of the Development of Internet Tools

Autorzy:

Mazurek-Łopacińska, K.
Sobocińska, M.

Powiązania:

https://bibliotekanauki.pl/articles/118091.pdf

Data publikacji:

2017

Wydawca:

Polskie Towarzystwo Promocji Wiedzy

Tematy:

knowledge
marketing research
Internet
artificial intelligence

Opis:

The aim of the article is to present marketing knowledge about the consumer as an enterprise resource and the role of marketing research in expanding it in the context of progressive virtualization of social life and the development of Internet tools. The current article was written on the basis of an in-depth literature study and an analysis of the selected results of quantitative research conducted in 2013 on a sample of 152 enterprises.

Źródło:

Applied Computer Science; 2017, 13, 3; 90-101
1895-3735

Pojawia się w:

Applied Computer Science

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 36.

Tytuł:

Logistyczne systemy informatyczne wykorzystujące sztuczną inteligencję w branży motoryzacyjnej
Logistics systems using artificial intelligence in the automotive industry

Autorzy:

Stawiarska, E.

Powiązania:

https://bibliotekanauki.pl/articles/393004.pdf

Data publikacji:

2016

Wydawca:

Politechnika Śląska. Wydawnictwo Politechniki Śląskiej

Tematy:

sztuczna inteligencja
logistyka
artificial intelligence
Logistics

Opis:

Artykuł podzielono na rozdziały zawierające opisy działania inteligentnych systemów wspomagających/zastępujących pracę logistyka w systemach zaopatrzenia, produkcji, dystrybucji oraz w integrujących się metasystemach. Do każdego z rozdziałów przygotowano podstawowe definicje oraz przykłady firm, które wykorzystują sztuczną inteligencję. W rozdziale pierwszym opisano firmę TRW Automotive – firma zarządza procesami produkcyjnymi z zastosowaniem AI (Artificial Intelligenss) opartej na koncepcji Six Sigma. W rozdziale drugim opisano możliwość pobierania nieustrukturalizowanych danych do zintegrowanych systemów zarządzania klasy ERP (z wykorzystaniem techniki ETL) w firmie General Motors. Również w rozdziale drugim zaprezentowano funkcje bota ALICE wspomagającego zarządzanie łańcuchami logistycznymi. Rozdział trzeci poświęcony jest AI wykorzystywanej w motoryzacyjnych sieciach dystrybucji marki BMW. Omówiono koncepcję Internetu rzeczy i działanie becon-ów. Czwarty rozdział poświęcony jest sztucznej inteligencji wspomagającej powoływanie i koordynowanie dynamicznych sieci dostaw, wykorzystującej oprogramowanie stworzone na podstawie teorii CAS (Złożonych Systemów Adaptacyjnych – Complex Adaptive Systems). Przewodnim celem artykułu było pokazanie trendów w rozwoju AI na potrzeby zarządzania logistyką w organizacji i sieci współpracujących przedsiębiorstw.
The article consists of four chapters: Intelligent systems in production logistics; Intelligent transport logistics in supply chain management; Intelligent logistics and transportation management supporting distribution system; Intelligent systems supporting organizing and coordinating the work of the dynamic supply network. In each of the chapters there is the theory part and examples of companies that use artificial intelligence. In the first chapter the TRW Automotive Company was described, which manages production processes using Artificial Intelligence (AI) based on the concept of Six Sigma. In the second chapter the ability to retrieve unstructured data to integrated management systems e.g. ERP (using techniques ETL), was described based on the practice at General Motors. Also in the second chapter the ALICE bot functions supporting the management of logistics chains was presented. The third chapter is devoted to AI used in the automotive distribution networks of the BMW brand. As well as the concept of the Internet of Things and operation of the beacon technology was discussed. The fourth chapter is devoted to artificial intelligence supporting the establishment and coordination of the dynamic supply network, using software developed based on the theory of CAS (Complex Adaptive Systems). The aim of this article was to show trends in the development of AI to manage logistics in the organization and a network of cooperating companies.

Źródło:

Organizacja i Zarządzanie : kwartalnik naukowy; 2016, 4; 101-119
1899-6116

Pojawia się w:

Organizacja i Zarządzanie : kwartalnik naukowy

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 37.

Tytuł:

Interakcje wyładowania elektryczne - minerały
Inieraction sparks - minerals

Autorzy:

Pawlikowski, M.
Bożęcki, P.

Powiązania:

https://bibliotekanauki.pl/articles/343867.pdf

Data publikacji:

2015

Wydawca:

nakł. Maciej Pawlikowski

Tematy:

minerals
artificial sparks
SEM
minerały
iskry

Opis:

Wykonano eksperymenty polegające na bombardowaniu powierzchni kryształów przez wyładowania elektryczne. Kryształy umieszczono na elektrodzie w specjalnej rurce szklanej. Iskry wytwarzano przy pomocy specjalnego generatora. Powierzchnie kryształów w strefie wyładowań badano przy pomocy mikroskopu skaningowego z przystawką do analiz chemicznych (EDS). Stwierdzono powstawanie w bombardowanej powierzchni kryształów mikro kraterów. Uderzenia iskier spowodowały także w niektórych przypadkach powstanie ziarn czystych metali w pobliżu mikro kraterów.
Interaction minerals artificial sparks were examined using pyrite, galena, hematite an pyrrhotite - bornite were examined using specially constructed generator. The surface of crystals was examines using SEM-EDS after strong bombing by artificial spark. The erosion of surface and formation of micro crater was observed. Moreover activity of sparks led to the formation of new secondary product represented sometime by pure metals.

Źródło:

Auxiliary Sciences in Archaeology, Preservation of Relics and Environmental Engineering; 2015, 20; 1-24
1689-6742

Pojawia się w:

Auxiliary Sciences in Archaeology, Preservation of Relics and Environmental Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 38.

Tytuł:

Numerical analysis of soil settlement prediction and its application in large-scale marine reclamation artificial island project

Autorzy:

Zhao, J.
Bao, L.
Wang, G.

Powiązania:

https://bibliotekanauki.pl/articles/259183.pdf

Data publikacji:

2017

Wydawca:

Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa

Tematy:

microstructure
consolidation
creep
artificial island
settlement

Opis:

In an artificial island construction project based on the large-scale marine reclamation land, the soil settlement is a key to affect the late safe operation of the whole field. To analyze the factors of the soil settlement in a marine reclamation project, the SEM method in the soil micro-structural analysis method is used to test and study six soil samples such as the representative silt, mucky silty clay, silty clay and clay in the area. The structural characteristics that affect the soil settlement are obtained by observing the SEM charts at different depths. By combining numerical calculation method of Terzaghi’s one-dimensional and Biot’s two-dimensional consolidation theory, the one-dimensional and two-dimensional creep models are established and the numerical calculation results of two consolidation theories are compared in order to predict the maximum settlement of the soils 100 years after completion. The analysis results indicate that the micro-structural characteristics are the essential factor to affect the settlement in this area. Based on numerical analysis of one-dimensional and two-dimensional settlement, the settlement law and trend obtained by two numerical analysis method is similar. The analysis of this paper can provide reference and guidance to the project related to the marine reclamation land.

Źródło:

Polish Maritime Research; 2017, S 3; 4-11
1233-2585

Pojawia się w:

Polish Maritime Research

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 39.

Tytuł:

Improving Self-Localization Efficiency in a Small Mobile Robot by Using a Hybrid Field of View Vision System

Autorzy:

Rostkowska, M.
Skrzypczyński, P.

Powiązania:

https://bibliotekanauki.pl/articles/950983.pdf

Data publikacji:

2015

Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Tematy:

self-localization
artificial landmark
omnidirectional camera

Opis:

In this article a self-localization system for small mobile robots based on inexpensive cameras and unobtrusive, passive landmarks is presented and evaluated. The main contribution is the experimental evaluation of the hybrid field of view vision system for self-localization with artificial landmarks. The hybrid vision system consists of an omnidirectional, upward-looking camera with a mirror, and a typical, front-view camera. This configuration is inspired by the peripheral and foveal vision co-operation in animals. We demonstrate that the omnidirectional camera enables the robot to detect quickly landmark candidates and to track the already known landmarks in the environment. The front-view camera guided by the omnidirectional information enables precise measurements of the landmark position over extended distances. The passive landmarks are based on QR codes, which makes possible to easily include in the landmark pattern additional information relevant for navigation. We present evaluation of the positioning accuracy of the system mounted on a SanBot Mk II mobile robot. The experimental results demonstrate that the hybrid field of view vision system and the QR code landmarks enable the small mobile robot to navigate safely along extended paths in a typical home environment.

Źródło:

Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 4; 28-38
1897-8649
2080-2145

Pojawia się w:

Journal of Automation Mobile Robotics and Intelligent Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 40.

Tytuł:

Ways of Selecting Internal Patterns in Multilayer Perceptron Network

Autorzy:

Kolibabka, M.
Cader, A.
Siwocha, A.
Krupski, M.

Powiązania:

https://bibliotekanauki.pl/articles/108637.pdf

Data publikacji:

2012

Wydawca:

Społeczna Akademia Nauk w Łodzi

Tematy:

neural networks
artificial intelligence
back propagation

Opis:

Creating and later learning one-way neural networks depends on many factors. Selecting many of them has estimated and experimental character. The suggested method is the Allows weakness of the influence of the not optimal choice of the net structure, also speed and momentum values are less influential in classic Back then Propagation Method. There are few modes of choosing elements to use in Followed algorithm.

Źródło:

Journal of Applied Computer Science Methods; 2012, 4 No. 1; 63-73
1689-9636

Pojawia się w:

Journal of Applied Computer Science Methods

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 41.

Tytuł:

Automatic Programming System with Access in The Natural Language

Autorzy:

Kazimierczak, J.

Powiązania:

https://bibliotekanauki.pl/articles/92901.pdf

Data publikacji:

2005

Wydawca:

Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach

Tematy:

artificial intelligence
automatic programming
knowledge representation

Opis:

In this paper, acquisition of knowledge from user's programs written in Pascal to the knowledge base of the computer is introduced. It is shown that system with such a kind of knowledge can be used as the automatic programming system. First, representation of knowledge acquired by the computer from different programs is characterized. Then searching for pieces of knowledge in the knowledge base needed for synthesis of a program specified in user requirement is described. Finally, the construction of a new program from the found pieces of knowledge is shown.

Źródło:

Studia Informatica : systems and information technology; 2005, 2(6); 35-47
1731-2264

Pojawia się w:

Studia Informatica : systems and information technology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 42.

Tytuł:

A novel deep neural network that uses space-time features for tracking and recognizing a moving object

Autorzy:

Chang, O.
Constante, P.
Gordon, A.
Singaña, M.

Powiązania:

https://bibliotekanauki.pl/articles/91702.pdf

Data publikacji:

2017

Wydawca:

Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych

Tematy:

deep architectures
deep learning
artificial vision

Opis:

This work proposes a deep neural net (DNN) that accomplishes the reliable visual recognition of a chosen object captured with a webcam and moving in a 3D space. Autoencoding and substitutional reality are used to train a shallow net until it achieves zero tracking error in a discrete ambient. This trained individual is set to work in a real world closed loop system where images coming from a webcam produce displacement information for a moving region of interest (ROI) inside the own image. This loop gives rise to an emergent tracking behavior which creates a self-maintain flow of compressed space-time data. Next, short term memory elements are set to play a key role by creating new representations in terms of a space-time matrix. The obtained representations are delivery as input to a second shallow network which acts as ”recognizer”. A noise balanced learning method is used to fast train the recognizer with real-world images, giving rise to a simple and yet powerful robotic eye, with a slender neural processor that vigorously tracks and recognizes the chosen object. The system has been tested with real images in real time.

Źródło:

Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 2; 125-136
2083-2567
2449-6499

Pojawia się w:

Journal of Artificial Intelligence and Soft Computing Research

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 43.

Tytuł:

Poszukiwanie unijnych standardów sztucznej inteligencji

Autorzy:

Sobczak, Jacek
Kakareko, Ksenia
Gołda-Sobczak, Maria

Powiązania:

https://bibliotekanauki.pl/articles/13949456.pdf

Data publikacji:

2023-02-20

Wydawca:

Akademia Sztuki Wojennej

Tematy:

artificial intelligence
digital market
new technologies

Opis:

Cybersecurity is closely related to the issue of artificial intelligence. The starting point for its presentation in the EU perspective seems to be the Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions entitled „Artificial Intelligence for Europe”. This communication was preceded by the European Economic and Social Committee’s own-initiative opinion „Artificial intelligence: the impact of artificial intelligence on the (digital) single market, production, consumption, employment and society”. In the body of this opinion, the European Economic and Social Committee concluded that there is no single accepted and rigid definition of artificial intelligence.

Źródło:

Cybersecurity and Law; 2023, 9, 1; 243-275
2658-1493

Pojawia się w:

Cybersecurity and Law

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 44.

Tytuł:

Expert systems in assessing the construction process safety taking account of the risk of disturbances

Autorzy:

Siemaszko, A.
Jakubczyk-Galczynska, A.
Grzyl, B.

Powiązania:

https://bibliotekanauki.pl/articles/30147063.pdf

Data publikacji:

2018

Wydawca:

Akademia Wojsk Lądowych imienia generała Tadeusza Kościuszki

Tematy:

construction safety
artificial intelligence
expert system

Opis:

The objective of the paper is to present the issue of safety management during the construction process. Threats in the form of disturbances may occur in the preparatory phase, during the execution of the construction project and also during its operational use. The article presents the concept of applying the methodology based, among others, on Learning Bayesian Networks, Artificial Neural Networks and Support Vector Machine, which can be used for building a system for diagnostic and decision-making support at each stage of the construction process. The use of expert systems when it comes to making choices related to construction issues can bring many benefits to decision-makers, as it reduces the risk of taking a wrong decision, and, thus, increases the construction process safety.

Źródło:

Scientific Journal of the Military University of Land Forces; 2018, 50, 3(189); 218-227
2544-7122
2545-0719

Pojawia się w:

Scientific Journal of the Military University of Land Forces

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 45.

Tytuł:

Dual-Process Approach to the Problem of Artificial Intelligence Agency Perception

Autorzy:

Rabiza, Marcin

Powiązania:

https://bibliotekanauki.pl/articles/31234153.pdf

Data publikacji:

2022

Wydawca:

Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN

Tematy:

artificial intelligence
perceived agency
agency attribution

Opis:

Thanks to advances in machine learning in recent years the ability of AI agents to act independently of human oversight,respond to their environment, and interact with other machines has significantly increased, and is one step closer to human-like performance. For this reason, we can observe contemporary researchers’ efforts towards modeling agency in artificial systems.In this light, the aim of this paper is to develop a dual-process approach to the problem of AI agency perception, and to discuss possible triggers of various agency perceptions. The article discusses the agency attribution phenomenon, based on which theargument for the dual-process nature of agency perception is developed. Two distinct types of thinking (processing)involved in human reasoning on AI agency are suggested: Type 1 and Type 2. The first one is fast, automatic, routine, and often unconscious; the second is a slower, controlled, more conscious one. Thesetwo distinct types of processing can yield differing and sometimes conflicting results for human cognition and interaction. Thepreliminary philosophical findings may contribute to further investigations in philosophy of mind or cognitive psychology andcould also be empirically tested in HCI and UX studies.

Źródło:

Filozofia i Nauka; 2022, 10, zeszyt specjalny; 303-313
2300-4711
2545-1936

Pojawia się w:

Filozofia i Nauka

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 46.

Tytuł:

Cognitive technologies – are we in danger of humanizing machines and dehumanizing humans?

Autorzy:

Marszałek-Kotzur, Izabela

Powiązania:

https://bibliotekanauki.pl/articles/27315523.pdf

Data publikacji:

2022

Wydawca:

STE GROUP

Tematy:

human
robot
artificial intelligence
cognitive technologies

Opis:

The purpose of this article is to introduce some of the problems arising from the rapid development and raising the status of machines and the increasing disregard for human rights in the context of the use of cognitive technologies. Cognitive technologies are highly acclaimed and are being introduced into almost all aspects of life, especially in business. The article asks the question of whether the use of these technologies leads to a gradual humanization of machines while dehumanizing humans. The article is purely theoretical and based on a literature study of selected bibliographic items. On the basis of the analyzed texts an attempt was made to introduce the concept of artificial intelligence, cognitive technologies and algorithms. It also attempts to diagnose the state of work on the regulation of the legal situation related to the development of artificial intelligence and cognitive technologies, as well as the status of robots. The philosophical concept of dehumanization and its selected examples are also outlined. The discussion leads to the conclusion that the pace of development of cognitive technologies, overtaking the human ability to comprehend them, poses a threat of machines getting out of human control.

Źródło:

Management Systems in Production Engineering; 2022, 3 (30); 269--275
2299-0461

Pojawia się w:

Management Systems in Production Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 47.

Tytuł:

Logos & Techne - About New Possibilities of Creating Art with Artificial Intelligence

Autorzy:

Marcinkowski, Arkadiusz Mieczysław

Powiązania:

https://bibliotekanauki.pl/articles/23952446.pdf

Data publikacji:

2022

Wydawca:

Politechnika Gdańska

Tematy:

artificial intelligence
art authentication
art restoration

Opis:

The integration of artificial intelligence (AI) in the art world has been transforming various industries, including the creation of new artwork, interpretation of existing pieces of art, curation of exhibitions, authentication of artworks, creation of interactive art, and restoration of damaged artwork. AI algorithms can analyze and generate new pieces of art based on collected data, classify elements in a painting, curate exhibitions and collections tailored to specific audiences, authenticate artworks, create interactive art, and restore damaged artwork. This article explores the various possibilities and applications of AI in the art world, highlighting its potential to innovate and revolutionize the industry even further as the technology continues to evolve.

Źródło:

TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2022, 26, 4
1428-6394

Pojawia się w:

TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 48.

Tytuł:

APPLICATION OF ARTIFICIAL NEURAL NETWORK SUPPORTING THE PROCESS OF PORTFOLIO MANAGEMENT IN TERMS OF TIME INVESTMENT ON THE WARSAW STOCK EXCHANGE

Autorzy:

Halicki, Marcin
Kwater, Tadeusz

Powiązania:

https://bibliotekanauki.pl/articles/453277.pdf

Data publikacji:

2014

Wydawca:

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki

Tematy:

artificial intelligence
stock exchange
features
investment

Opis:

The paper presents the use of artificial neural networks as a tool expert, which supports decision-making for the quarterly period investing on the stock exchange. The authors also proposed a set of 12 features of the economy and the stock market, which has a universal character so that the approach presented in the publication of this configuration data can be useful for any chosen market. Tests were carried out on the basis of actual data from WSE (GPW in Warsaw) and the Polish economy.

Źródło:

Metody Ilościowe w Badaniach Ekonomicznych; 2014, 15, 2; 307-316
2082-792X

Pojawia się w:

Metody Ilościowe w Badaniach Ekonomicznych

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 49.

Tytuł:

Theological and Anthropological Analysi of Procreation in the Context of Contemporary Debate on Naprotechnology

Autorzy:

Picur, Tomasz

Powiązania:

https://bibliotekanauki.pl/articles/2037717.pdf

Data publikacji:

2017

Wydawca:

Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL

Tematy:

naprotechnology
infertility
artificial insemination
natural law

Opis:

Immersed in the world dominated by pragmatism, contemporary man seems to be thinking and functioning only according to the criteria of effective acting. However, life experience, philosophical reflection, and the truth of Revelation lead to the conclusion that the laws of nature must be respected in the name of care for man and for one’s genuine good, even though they may, in certain cases, limit the effectiveness of acting and the possibility to acquire current profit. This article justifies the necessity to respect natural law in the sphere of transmission of  human life. The starting point of this scientific reflection is the theological vision of values and of the inviolability of human life on the basis of the description of creation from the Book of Genesis. The fundamental truths and moral norms are being neglected nowadays as—being so proud of modern technological achievements—man makes himself the creator and the master of human life. Although such activities seem impressive from the scientific point of view, they actually result in a number of serious contemporary and future threats. The second part of the article presents alarming aspects of  artificial interventions in the sphere of life transmission. By exposing the threats and by trying to prevent them in the sphere of infertility treatment, the Church opposes the methods of artificial insemination and becomes engaged in promoting naprotechnology which is a method that expresses genuine humanism, and which gives hope not only to the parents who want to have a baby but also to the mankind that longs for propitious future.

Źródło:

Roczniki Teologiczne; 2017, 64, 3 English Online Version; 93-107
2353-7272

Pojawia się w:

Roczniki Teologiczne

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 50.

Tytuł:

Artificial Intelligence and Discretionary Decisions. The Triumph or Loss of Commander Pirx?

Autorzy:

Dubiński, Łukasz

Powiązania:

https://bibliotekanauki.pl/articles/2027864.pdf

Data publikacji:

2021-12-31

Wydawca:

Uniwersytet im. Adama Mickiewicza w Poznaniu

Tematy:

artificial intelligence
discretionary decisions
human being

Opis:

The aim of the considerations is to determine whether artificial intelligence units can take the place of humans in administrative proceedings ending with the issuance of discretionary decisions. The author starts from presenting the essence of discretionary decisions and guide the scope of judicial control over them. The presented considerations relate primarily to the potential placement of such devices in the “administrative justice system” that can be defined as artificial intelligence units in the strict sense. Therefore, this concerns devices for which human intervention is usually limited to switching on and technical supervision. However, the considerations can also be applied to such devices where human interference in their operation is slightly greater. It should be emphasized, however, that it this does not concern devices that are fully or almost fully controlled by humans.

Źródło:

Adam Mickiewicz University Law Review; 2021, 13; 199-213
2450-0976

Pojawia się w:

Adam Mickiewicz University Law Review

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 51.

Tytuł:

Solar irradiance forecasting based on long-wave atmospheric radiation

Autorzy:

Piątek, M.
Trajer, J.
Czekalski, D.

Powiązania:

https://bibliotekanauki.pl/articles/298472.pdf

Data publikacji:

2015

Wydawca:

Uniwersytet Warmińsko-Mazurski w Olsztynie

Tematy:

artificial neural networks
irradiance forecasting
cloudiness

Opis:

This work contains information concerning long-wave atmospheric radiation. Artificial neural networks were developed to forecast total mean hourly irradiance based on long-wave atmospheric radiation as cloudiness indicator. It was proved that using this variable in models for forecasting irradiance is wellgrounded. The proof was based on the neural networks sensitivity analysis. It was proved that neural network model is capable to utilize information carried by long wave atmospheric radiation only when the air temperature is provided as additional explanatory variable.

Źródło:

Technical Sciences / University of Warmia and Mazury in Olsztyn; 2015, 18(1); 27-36
1505-4675
2083-4527

Pojawia się w:

Technical Sciences / University of Warmia and Mazury in Olsztyn

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 52.

Tytuł:

Polish emotional speech recognition using artifical neural network

Autorzy:

Powroźnik, P.

Powiązania:

https://bibliotekanauki.pl/articles/102146.pdf

Data publikacji:

2014

Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Tematy:

emotional speech
artificial neural network
communication

Opis:

The article presents the issue of emotion recognition based on polish emotional speech analysis. The Polish database of emotional speech, prepared and shared by the Medical Electronics Division of the Lodz University of Technology, has been used for research. The following parameters extracted from sampled and normalised speech signal has been used for the analysis: energy of signal, speaker’s sex, average value of speech signal and both the minimum and maximum sample value for a given signal. As an emotional state a classifier fof our layers of artificial neural network has been used. The achieved results reach 50% of accuracy. Conducted researches focused on six emotional states: a neutral state, sadness, joy, anger, fear and boredom.

Źródło:

Advances in Science and Technology. Research Journal; 2014, 8, 24; 24-27
2299-8624

Pojawia się w:

Advances in Science and Technology. Research Journal

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 53.

Tytuł:

Hydrogel coatings for artificial heart implants

Autorzy:

Trzaskowski, M.
Butruk, B.
Ciach, T.

Powiązania:

https://bibliotekanauki.pl/articles/115623.pdf

Data publikacji:

2011

Wydawca:

Fundacja na Rzecz Młodych Naukowców

Tematy:

polyurethane
polyvinylpyrrolidone
hydrogel coatings
artificial heart

Opis:

Polyurethanes (PU) are nowadays one of the most widely used types of polymers for biomedical applications. The segmented nature of these materials enables to obtain both flexibility and mechanical strength within the same material. However, there is a need to modify a surface of PU in order to produce highly hemocompatible materials that can be used in fabrication of permanent blood-contacting devices such as vascular implants, valves or hearts. Among many types of modifications, hydrogel coating appears to be very promising. Such modification increases the hydrophilicity of PU which in turn causes an increase in the bio- and hemocompatibility of the material. The aim of presented study was to create a polyvinylpyrrolidone (PVP) hydrogel coating onto a surface of polyurethane. A possibility of using a free radical polymerization reaction was investigated. The obtained materials were analyzed in terms of durability, swelling ratio and contact angle. The FTIR-ATR analysis confirmed that polyurethane surfaces have been successfully coated with PVP.

Źródło:

Challenges of Modern Technology; 2011, 2, 1; 19-22
2082-2863
2353-4419

Pojawia się w:

Challenges of Modern Technology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 54.

Tytuł:

Artificial neural networks for interpolation and identification of underwater object features

Autorzy:

Balicki, J.
Gloza, I.

Powiązania:

https://bibliotekanauki.pl/articles/332167.pdf

Data publikacji:

2008

Wydawca:

Polskie Towarzystwo Akustyczne

Tematy:

artificial neural networks
underwater object
hydroacoustic

Opis:

Artificial neural networks can be applied for interpolation of function with multiple variables. Because of concurrent processing of data by neurons, that approach can be seen as hopeful alternative for numerical algorithms. From these reasons, the analysis of capabilities for some models of neural networks has been carried out in the purpose for identification of the underwater object properties. Features of the underwater objects can be recognized by characteristics of a amplitude according to the frequency of measured signals. The feed-forward multi-layer networks with different transfer functions have been applied. Those network models have been trained by some versions of back-propagation algorithm as well as the Levenberg-Marquardt gradient optimization technique. Finally, for determination of the amplitude for the frequency of signal by the two-layer network with the hidden layer of the radial neurons has been proposed.

Źródło:

Hydroacoustics; 2008, 11; 1-10
1642-1817

Pojawia się w:

Hydroacoustics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 55.

Tytuł:

Implementacja sztucznych sieci neuronowych w środowisku LabVIEW
Artificial neural networks in LabVIEW

Autorzy:

Rafiński, L.

Powiązania:

https://bibliotekanauki.pl/articles/268930.pdf

Data publikacji:

2008

Wydawca:

Politechnika Gdańska. Wydział Elektrotechniki i Automatyki

Tematy:

sztuczne sieci neuronowe
artificial neural networks

Opis:

Przedstawiono możliwości oraz strukturę zrealizowanego przez autora modułu do implementacji sztucznych sieci neuronowych w środowisku LabVIEW.
The article shows the structure and capabilities of a LabVIEW module for the artficial neural networks implementation designed by the author.

Źródło:

Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2008, 25; 141-143
1425-5766
2353-1290

Pojawia się w:

Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 56.

Tytuł:

Deformable cell and deformable tissue as an area for application of nanoscale mechanics

Autorzy:

Kaczmarek, J.

Powiązania:

https://bibliotekanauki.pl/articles/175397.pdf

Data publikacji:

2011

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

artificial muscle
deformable cell
nanoscale mechanics

Opis:

Materials undergoing deformation based on various mechanisms are frequently applied to manufacturing of artificial muscle actuators. In this paper we introduce a methodological step towards more precise determination of investigation object related to such actuators. One defines a deformable cell and a deformable tissue in order to indicate which functions of such objects should be integrated for further applications. One accentuates role of nanoscale models of mechanics of materials as important on way towards design of the deformable cells.

Źródło:

Transactions of the Institute of Fluid-Flow Machinery; 2011, 123; 99-112
0079-3205

Pojawia się w:

Transactions of the Institute of Fluid-Flow Machinery

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 57.

Tytuł:

Artificial Intelligence Methods in Spare Parts Demand Forecasting

Autorzy:

Rosienkiewicz, Maria

Powiązania:

https://bibliotekanauki.pl/articles/504136.pdf

Data publikacji:

2013

Wydawca:

Międzynarodowa Wyższa Szkoła Logistyki i Transportu

Tematy:

lumpy demand
forecasting
ANN
Artificial Intelligence

Opis:

The paper discusses the problem of forecasting lumpy demand which is typical for spare parts. Several prediction methods are presented in the article – traditional techniques based on time series and advanced methods that use Artificial Intelligence tools. The research conducted in the paper focuses on comparison of eight forecasting methods, including classical, hybrid and based on artificial neural networks. The aim of the paper is to assess the efficiency of lumpy demand forecasting methods that apply AI tools. The assessment is conducted by a comparison with traditional methods and it is based on Root Mean Square Errors (RMSE) and relative forecast errors (ex post) values. The article presents also a new approach to the lumpy demand forecasting issue – a method which combines regression modelling, information criteria and artificial neural networks.

Źródło:

Logistics and Transport; 2013, 18, 2; 41-50
1734-2015

Pojawia się w:

Logistics and Transport

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 58.

Tytuł:

FIRM BANKRUPTCY PREDICTION USING SOFT TECHNIQUES OF CALCULATION (Prognozowanie upadlosci firm przy wykorzystaniu miekkich technik obliczeniowych)

Autorzy:

Korol, Tomasz

Powiązania:

https://bibliotekanauki.pl/articles/599686.pdf

Data publikacji:

2010

Wydawca:

Wyższa Szkoła Informatyki i Zarządzania z siedzibą w Rzeszowie

Tematy:

ARTIFICIAL INTELLIGENCE
BANKRUPTCY
FINANCIAL CRISIS
FORECASTING

Opis:

This article is about the prediction of bankruptcy of companies in Poland. In the article the author compares seven methods of artificial intelligence of forecasting the risks of bankruptcy of companies. It is first attempt of comparative analysis of such wide variety of artificial intelligence methods in predicting bankruptcy in Poland. In the conducted research the author has used data on 185 companies listed on the Warsaw Stock Exchange. This population of firms was divided into learning and testing setdata. Each company has been analyzed using the absolute values of 14 financial ratios and the dynamics of change of these ratios. The author's developed models are characterized by high efficiency. These studies are the first attempt to use fuzzy logic to predict the bankruptcy of companies in Poland and one of the first in the world. Obtained results demonstrate the great potential of this method.

Źródło:

Finansowy Kwartalnik Internetowy e-Finanse; 2010, 6, 2; 1-15
1734-039X

Pojawia się w:

Finansowy Kwartalnik Internetowy e-Finanse

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 59.

Tytuł:

Kilka językowo-kulturologicznych uwag o perłach współtworzących sztuczną biżuterię
Some Linguistic and Cultural Reflections on Pearls as an Example of Artificial Jewellery

Autorzy:

Węgorowska, Katarzyna

Powiązania:

https://bibliotekanauki.pl/articles/40262979.pdf

Data publikacji:

2023

Wydawca:

Uniwersytet w Białymstoku. Wydawnictwo Uniwersytetu w Białymstoku

Tematy:

pearls
imitation pearls
artificial jewellery
verbalization

Opis:

A phenomenon of organic stones, today regarded as precious stones, namely pearls, is the fact that they have never gone out of fashion. Their enduring popularity has been exploited by the creators of artificial jewellery, which – like real pearls and their imitations – has accompanied humans since ancient times. The subject of this article is comments on the names of pearls and terms associated with pearls incorporated into “secondary jewels”. In the Polish language one- and multi-word names have been preserved, among others for: a) different types of these (less frequently used) natural stones and their (more frequently used) artificial counterparts, b) morphic pearls, c) chromatic qualities of pearls, d) the quantity and quality of stones used, e) the type of framing of both organic and artificial stones, f) metal studded with pearls, g) the complementary properties of artificial and natural pearls, h) names that reflect the diversity of “secondary” jewellery “pearl” designations and details that co-create them. These names are further complemented by professional jewellers’ terms related to pearls that enrich these artificial items of value. All the linguistic testimony or “linguistic data” presented in this proposal allows for the redefinition, verification, complementation, modification and thus expansion of the concept of artificial jewellery.

Źródło:

Białostockie Archiwum Językowe; 2023, 23; 257-284
1641-6961

Pojawia się w:

Białostockie Archiwum Językowe

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 60.

Tytuł:

Inteligencia artificial sostenible: entre la sostenibilidad digital y los entornos digitales sostenibles
Sustainable artificial intelligence: between digital sustainability and sustainable digital environments

Autorzy:

Wisner Glusko, Diana Carolina

Powiązania:

https://bibliotekanauki.pl/articles/2158871.pdf

Data publikacji:

2022

Wydawca:

Krakowska Akademia im. Andrzeja Frycza Modrzewskiego

Tematy:

inteligencia artificial
sostenibilidad
sostenibilidad digital
entornos digitales sostenibles
artificial intelligence
sustainability
digital sustainability
sustainable digital environments

Opis:

Vivimos en un tiempo en el que la inteligencia artificial y la sostenibilidad coexisten y ello nos exige un cambio de paradigma. Nadie duda de que la inteligencia artificial constituya un medio para alcanzar los Objetivos de Desarrollo Sostenible. El desarrollo y el uso responsable de sistemas de inteligencia artificial pueden contribuir a la conservación del medio ambiente, a la neutralidad climática, a la eficiencia energética y al uso de energías renovables en ciudades sostenibles, a la reducción de la contaminación de los océanos y mares, a la minimización de la huella de carbono, a la creación de economías circulares, a la protección de la fauna así como a la democratización de una educación de calidad. Sin embargo, existe otra relación de esta tecnología disruptiva con la sostenibilidad y que se evidencia en la necesidad de que la misma inteligencia artificial sea sostenible, a la par que ética, segura y fiable, de acuerdo con la propia legislación de la Unión Europea. La inexistencia de un claro concepto de “inteligencia artificial sostenible” nos pone ante la necesidad de estudiar cómo se vertebra la sostenibilidad, las personas y el uso de la inteligencia artificial a la luz de los principios que sustentan la sostenibilidad digital y ambiental y que permiten crear y generar entornos digitales sostenibles.
We live in a time when artificial intelligence and sustainability coexist and this requires a change of paradirgma. No one doubts that artificial intelligence is a means to achieve the Sustainable Development Goals. The development and responsible use of artificial intelligence systems can contribute to the conservation of the environment, climate neutrality, energy efficiency and the use of renewable energies in sustainable cities, to the reduction of pollution of the oceans and seas, to the minimization of the carbon footprint, to the creation of circular economies, to the protection of wildlife as well as to the democratization of quality education. However, there is another relationship of this disruptive technology with sustainability and that is evidenced by the need for artificial intelligence itself to be sustainable, as well as ethical, safe and reliable, in accordance with the European Union’s own legislation. The lack of a clear concept of sustainable artificial intelligence puts us in front of the need to study how sustainability, people and the use of artificial intelligence are structured in the light of the principles that underpin digital and environmental sustainability and that allow us to create and generate sustainable digital environments.

Źródło:

Studia Prawnicze: rozprawy i materiały; 2022, (30), 1; 117-127
1689-8052
2451-0807

Pojawia się w:

Studia Prawnicze: rozprawy i materiały

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 61.

Tytuł:

Modern method based on artificial intelligence for safe control in the marine environment

Autorzy:

Mohamed-Seghir, Gdynia Maritime University, Gdynia, Poland

Powiązania:

https://bibliotekanauki.pl/articles/24201419.pdf

Data publikacji:

2023

Wydawca:

Uniwersytet Morski w Gdyni. Wydział Nawigacyjny

Tematy:

safe ship's trajectory
collision avoidance
artificial intelligence
artificial neural network
fuzzy logic
evolutionary algorithms
dynamic programming

Opis:

The article presents an approach to formulating a ship control process model in order to solve the problem of determining a safe ship trajectory in collision situations. Fuzzy process properties are included in the model to bring it closer to reality, as in many situations the navigator makes a subjective decision. A special neural network was used to solve the presented problem. This artificial neural network is characterized by minimum and maximum operations when set. In order to confirm the correctness of the operation of the proposed algorithm, the results of the simulations obtained were presented and an discussion was conducted.

Źródło:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 283--288
2083-6473
2083-6481

Pojawia się w:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 62.

Tytuł:

Kształtowanie sztucznej komory oraz napędu mikropompy pulsacyjnej do przetaczania krwi
Modeling of the artificial blood chamber and the micropumps pulsatile drive for blood transfusion

Autorzy:

Bartel, S.

Powiązania:

https://bibliotekanauki.pl/articles/408349.pdf

Data publikacji:

2017

Wydawca:

Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej

Tematy:

sztuczna komora krwi
napęd elektromagnetyczny
mikropompa
sztuczne serce
artificial blood chamber
electromagnetic drive
micropump
artificial heart

Opis:

W niniejszym artykule zaprezentowano przykłady laminarnie przepływowych oraz pulsacyjnych urządzeń wspomagających pracę ludzkiego serca oraz całkowicie sztucznych serc. Przykłady tych urządzeń rozpatrywane były pod kątem modelowania kształtu sztucznych komór krwi oraz napędu elektromagnetycznego tych urządzeń. Opisano ogólną zasadę działania oraz wady i zalety wynikające z budowy danej konstrukcji.
This article presents examples of laminar blood flow and pulsatile blood flow devices for human heart assist and the total artificial hearts. The presented examples of these heart assist devices were considered for modeling the shape of the artificial blood chamber, and the electromagnetic drive of these devices. This article describes the general principle of artificial heart devices and his advantages and disadvantages resulting from the construction.

Źródło:

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2017, 7, 4; 79-81
2083-0157
2391-6761

Pojawia się w:

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 63.

Tytuł:

Ocena efektywności neuronowego prognozowania w oparciu o wybrane metody na przykładzie dystrybucji produktów rolniczych
Assessment of effectiveness of the neural prediction based on selected methods exemplified by distribution of agricultural products

Autorzy:

Koszela, K.
Boniecki, P.
Weres, J.

Powiązania:

https://bibliotekanauki.pl/articles/287927.pdf

Data publikacji:

2005

Wydawca:

Polskie Towarzystwo Inżynierii Rolniczej

Tematy:

sztuczna inteligencja
sztuczne sieci neuronowe
prognozowanie
szeregi czasowe
artificial intelligence
artificial neural networks
prediction
time series

Opis:

Prognozowanie staje się bardzo ważnym etapem w każdej działalności. W przypadku dystrybucji produktów rolniczych mamy do czynienia z szeregiem złożonych bodźców, które przekładają się na wynik końcowy. Natomiast jakość tych prognoz ma ogromne znaczenie na kolejne etapy w łańcuchu produkcyjno-dystrybucyjnym. Sieci neuronowe są bardzo wysublimowaną techniką modelowania, zdolną odwzorować bardzo złożone funkcje. Modelowanie z wykorzystaniem sztucznych sieci neuronowych stosuje się wówczas, gdy nie jest znany dokładny opis matematyczny rozpatrywanego zjawiska, natomiast dobrze określone są jego wejścia i wyjścia. Sztuczna sieć neuronowa potrafi nauczyć się rozpoznawać analizowany problem, dając szybko odpowiedź na zmieniające się parametry wejściowe procesu. W pracy przedstawiono porównanie dwóch metod neuronowego modelowania sprzedaży wybranego produktu.
Prediction becomes a very important stage in many activities. In case of distributing agricultural products we deal with a number of stimuli which consequently transform into the end effect. It is clear that the quality of those predictions has a great influence on subsequent stages in the production and distribution chain. Neural networks are a sophisticated technique of modeling capable of reflecting very complex functions. Modeling using artificial neural networks is used when exact mathematical description of investigated phenomenon is not known but its inputs and outputs are well defined. Artificial neural network can learn to recognize the problem analyzed giving an answer to changing input parameters. In the paper two methods of neural modeling of a chosen agricultural product distribution were presented.

Źródło:

Inżynieria Rolnicza; 2005, R. 9, nr 2, 2; 69-76
1429-7264

Pojawia się w:

Inżynieria Rolnicza

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 64.

Tytuł:

Rape Culture Reborn: A Posthuman Perspective on Rape in Westworld

Autorzy:

Czerniakowski, Maciej

Powiązania:

https://bibliotekanauki.pl/articles/1795843.pdf

Data publikacji:

2019-11-05

Wydawca:

Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL

Tematy:

sztuczna inteligencja; krytyczny posthumanizm; gwałt; cyborg; sztuczna świadomość
artificial intelligence; critical posthumanism; rape; cyborg; artificial consciousness

Opis:

Powrót kultury gwałtu. Posthumanistyczne spojrzenie na gwałt w serialu Westworld Głównym celem niniejszego tekstu jest zarysowanie problematyki przyznania statusu osoby z pełnią praw człowieka sztucznej inteligencji, której uda się rozwinąć sztuczną świadomość na poziomie pozwalającym jej na autorefleksję oraz zrozumienie, że jest bytem, który ma własną podmiotowość i prawo sprzeciwu do bycia ofiarą eksploatacji. Przyjąwszy perspektywę krytycznego posthumanizmu, która tutaj opiera się na pracy naukowej krytyków takich jak Stefan Sorgner, Francesca Ferrando czy Neil Badmington, autor eseju stara się w syntetyczny sposób przedstawić zagadnienie, które co prawda, może się wydawać, wciąż należy do sfery spekulatywnych rozważań rodem z twórczości popularnonaukowej, powoli jednak — jak udowadnia autor eseju — staje się częścią codziennego świata, z którą ludzkość będzie sobie musiała poradzić zarówno na gruncie ideologicznym, jak i legislacyjnym.
The main objective of the essay is to present the problem of granting the status of a person who enjoys all human rights to artificial intelligence if it manages to develop artificial consciousness at the level allowing it for reflecting upon itself and recognizing the fact that it is an entity which has its own subjectivity and the right not to be exploited. Assuming the perspective of critical posthumanism, which here draws on research conducted by Stefan Sorgner, Francesca Ferrando, and Neil Badmington, the Author tries to give a concise presentation of the issue, which may still be perceived as part of speculative discourse stimulated by science-fiction, but which – as the Author proves – seems to be gradually becoming part of our everyday world that humanity will have to deal with on both ideological and legislative ground.

Źródło:

Roczniki Humanistyczne; 2019, 67, 11; 75-86
0035-7707

Pojawia się w:

Roczniki Humanistyczne

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 65.

Tytuł:

Optimal routes scheduling for municipal waste disposal garbage trucks using evolutionary algorithm and artificial immune system
Planowanie optymalnych tras dla śmieciarek samochodowych przy pomocy algorytmu ewolucyjnego i sztucznych systemów immunologicznych

Autorzy:

Mrówczyńska, B.

Powiązania:

https://bibliotekanauki.pl/articles/374265.pdf

Data publikacji:

2011

Wydawca:

Politechnika Śląska. Wydawnictwo Politechniki Śląskiej

Tematy:

sztuczna inteligencja
sztuczne systemy immunologiczne
algorytm ewolucyjny
optymalizacja
artificial intelligence
artificial immune systems
evolutionary algorithm
optimisation

Opis:

This paper describes an application of an evolutionary algorithm and an artificial immune systems to solve a problem of scheduling an optimal route for waste disposal garbage trucks in its daily operation. Problem of an optimisation is formulated and solved using both methods. The results are presented for an area in one of the Polish cities.
W artykule przedstawiono zastosowanie algorytmu ewolucyjnego i sztucznych systemów immunologicznych do zaplanowania optymalnych tras śmieciarek samochodowych. W artykule sformułowano zadanie optymalizacji tras i rozwiązano przy pomocy dwóch metod: algorytmu ewolucyjnego i algorytmu immunologicznego. Omówiono wyniki otrzymane dla jednego z polskich osiedli.

Źródło:

Transport Problems; 2011, 6, 4; 5-12
1896-0596
2300-861X

Pojawia się w:

Transport Problems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 66.

Tytuł:

Modele i warunki rozwoju etyki sztucznej inteligencji w biznesie
Models and conditions for the development of ethics of artificial intelligence by business

Autorzy:

Sroka, Robert

Powiązania:

https://bibliotekanauki.pl/articles/468607.pdf

Data publikacji:

2019

Wydawca:

Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN

Tematy:

etyka sztucznej inteligencji
etyka biznesu
AI
sztuczna inteligencja
ethics of Artificial Intelligence
business ethics
Artificial Intelligence

Opis:

Biznes odgrywa dominującą rolę w rozwoju produktów i usług wykorzystujących sztuczną inteligencję. Wyzwaniem jest zapewnienie, aby takie produkty i usługi były etyczne. Trudność zmierzenia się z tym zadaniem wynika z faktów, że (a) proces ich rozwoju jest nietransparentny; (b) nie zawsze firmy chcą brać udział w dyskusji na temat etyki sztucznej inteligencji oraz stosować się do jej wyników; (c) nowość zagadnienia powoduje, że rezultaty tych dyskusji nie powstają szybko i nie są praktyczne. Celem artykułu jest wskazanie różnych modeli etyki sztucznej inteligencji rozwijanych przez biznes, a także warunków i problemów, jakie łączą się z tym zadaniem. Pokazano w jaki sposób biznes odpowiada na wyzwania etyczne spowodowane przez zjawisko rozwoju sztucznej inteligencji. Omówiono również odpowiedź, jakiej na te wyzwania udzieliła Grupa Robocza Wysokiego Szczebla powołana przez Komisję Europejską do wypracowania kodeksu etyki sztucznej inteligencji.
Business plays a dominant role in the development of products and services based on Artificial Intelligence (AI). The challenge is to ensure that products and services based on AI are ethical. The difficulty in dealing with this task stems from the facts that: a. the process of development is not transparent; b. companies do not always want to take part in discussionson the ethics of artificial intelligence and adhere to its results; c. the novelty of the issue causes that the results of these discussions do not arise quickly and are not practical. The aim of the article is to indicate the difficulty of conducting research on the ethics of AI developed by business. The article has been synthetically presented in what way business responds to ethical challenges brought about by the phenomenon of development of AI. The answer to these challenges was also given by the High-Level Working Group appointed by the European Commission to develop a code of artificial intelligence.

Źródło:

Prakseologia; 2019, 161; 271-290
0079-4872

Pojawia się w:

Prakseologia

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 67.

Tytuł:

The Influence of the Artificial Neural Network type on the quality of learning on the Day-Ahead Market model at Polish Power Exchange joint-stock company

Autorzy:

Ruciński, Dariusz

Powiązania:

https://bibliotekanauki.pl/articles/1819257.pdf

Data publikacji:

2019

Wydawca:

Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach

Tematy:

Perceptron Artificial Neural Network
Radial Artificial Neural Network
Recursive Artificial Neural Network
neural model quality
Day-Ahead Market
Polish Power Exchange
Mean square error
determination index

Opis:

The work contains the results of the Day-Ahead Market modeling research at Polish Power Exchange taking into account the numerical data on the supplied and sold electricity in selected time intervals from the entire period of its operation (from July 2002 to June 2019). Market modeling was carried out based on three Artificial Neural Network models, ie: Perceptron Artificial Neural Network, Recursive Artificial Neural Network, and Radial Artificial Neural Network. The examined period of the Day-Ahead Market operation on the Polish Power Exchange was divided into sub-periods of various lengths, from one month, a quarter, a half a year to the entire period of the market's operation. As a result of neural modeling, 1,191 models of the Market system were obtained, which were assessed according to the criterion of the least error MSE and the determination index R2.

Źródło:

Studia Informatica : systems and information technology; 2019, 1-2(23); 77--93
1731-2264

Pojawia się w:

Studia Informatica : systems and information technology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 68.

Tytuł:

Evaluating the performance of Extreme Learning Machine technique for ore grade estimation

Autorzy:

Abuntori, Clara Akalanya
Al-Hassan, Sulemana
Mireku-Gyimah, Daniel
Ziggah, Yao Yevenyo

Powiązania:

https://bibliotekanauki.pl/articles/1839059.pdf

Data publikacji:

2021

Wydawca:

Główny Instytut Górnictwa

Tematy:

extreme learning machine
artificial intelligence
artificial neural network
grade estimation
kriging
ELM
sztuczna inteligencja
sztuczna sieć neuronowa

Opis:

Due to the complex geology of vein deposits and their erratic grade distributions, there is the tendency of overestimating or underestimating the ore grade. These estimated grade results determine the profitability of mining the ore deposit or otherwise. In this study, five Extreme Learning Machine (ELM) variants based on hard limit, sigmoid, triangular basis, sine and radial basis activation functions were applied to predict ore grade. The motive is that the activation function has been identified to play a key role in achieving optimum ELM performance. Therefore, assessing the extent of influence the activation functions will have on the final outputs from the ELM has some scientific value worth investigating. This study therefore applied ELMas ore grade estimator which is yet to be explored in the literature. The obtained results from the five ELM variants were analysed and compared with the state-of-the-art benchmark methods of Backpropagation Neural Network (BPNN) and Ordinary Kriging (OK). The statistical test results revealed that the ELM with sigmoid activation function (ELM-Sigmoid) was the best among all the other investigated methods (ELM-Hard limit, ELM-Triangular basis, ELM-Sine, ELM-Radial Basis, BPNN and OK). This is because the ELM-sigmoid produced the lowest MAE (0.0175), MSE (0.0005) and RMSE (0.0229) with highest R2 (91.93%) and R (95.88%) respectively. It was concluded that ELM-Sigmoid can be used by field practitioners as a reliable alternative ore grade estimation technique.

Źródło:

Journal of Sustainable Mining; 2021, 20, 2; 56-71
2300-1364
2300-3960

Pojawia się w:

Journal of Sustainable Mining

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 69.

Tytuł:

Oxygenic photosynthesis: translation to solar fuel technologies

Autorzy:

Olmos, J.D.J.
Kargul, J.

Powiązania:

https://bibliotekanauki.pl/articles/58785.pdf

Data publikacji:

2014

Wydawca:

Polskie Towarzystwo Botaniczne

Tematy:

renewable energy
energy source
solar fuel
photosystem II
photosystem I
carbon dioxide
photosynthesis
artificial leaf
artificial photosynthesis

Opis:

Mitigation of man-made climate change, rapid depletion of readily available fossil fuel reserves and facing the growing energy demand that faces mankind in the near future drive the rapid development of economically viable, renewable energy production technologies. It is very likely that greenhouse gas emissions will lead to the significant climate change over the next fifty years. World energy consumption has doubled over the last twenty-five years, and is expected to double again in the next quarter of the 21st century. Our biosphere is at the verge of a severe energy crisis that can no longer be overlooked. Solar radiation represents the most abundant source of clean, renewable energy that is readily available for conversion to solar fuels. Developing clean technologies that utilize practically inexhaustible solar energy that reaches our planet and convert it into the high energy density solar fuels provides an attractive solution to resolving the global energy crisis that mankind faces in the not too distant future. Nature’s oxygenic photosynthesis is the most fundamental process that has sustained life on Earth for more than 3.5 billion years through conversion of solar energy into energy of chemical bonds captured in biomass, food and fossil fuels. It is this process that has led to evolution of various forms of life as we know them today. Recent advances in imitating the natural process of photosynthesis by developing biohybrid and synthetic “artificial leaves” capable of solar energy conversion into clean fuels and other high value products, as well as advances in the mechanistic and structural aspects of the natural solar energy converters, photosystem I and photosystem II, allow to address the main challenges: how to maximize solar-to-fuel conversion efficiency, and most importantly: how to store the energy efficiently and use it without significant losses. Last but not least, the question of how to make the process of solar energy conversion into fuel not only efficient but also cost effective, therefore attractive to the consumer, should be properly addressed.

Źródło:

Acta Societatis Botanicorum Poloniae; 2014, 83, 4
0001-6977
2083-9480

Pojawia się w:

Acta Societatis Botanicorum Poloniae

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 70.

Tytuł:

A comparative analysis of the rehabilitation course of two patients after the implantation of an artificial hip joint

Autorzy:

Handkiewicz, Krzysztof

Powiązania:

https://bibliotekanauki.pl/articles/454864.pdf

Data publikacji:

2018

Wydawca:

Uniwersytet Rzeszowski. Wydawnictwo Uniwersytetu Rzeszowskiego

Tematy:

artificial hip joint
rehabilitation post-surgical rehabilitation

Opis:

Introduction. Endoprosthetics is the most effective method of returning to a normal way of life without pain. The key element is the post-operative rehabilitation program where a patient has to comply with certain rules and principles. The rehabilitation also includes the family of the patient. Each person, after any surgery requires an individual approach, and no patient can be commonly treated. Aim. The aim of the article is to compare the effects of an early rehabilitation after the implantation of an artificial hip joint in two patient cases. Description of the cases. This research was conducted at Bodden-Klinken GmbH. An individual case study was used, based on an example of two patients at the age of 59 who had implantation of an artificial hip joint. The carried out rehabilitation of the patients was conducted without any disruptions. Patients were able to freely walk on crutches nine days after the procedure. Conclusions. In the cases analyzed, the rehabilitation course was described until the ninth day after implantation of an artificial hip joint. High results in terms of patient rehabilitation were achieved. Furthermore, in order to continue their therapy, they were referred to the sanatorium.

Źródło:

European Journal of Clinical and Experimental Medicine; 2018, 4; 384-389
2544-2406
2544-1361

Pojawia się w:

European Journal of Clinical and Experimental Medicine

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 71.

Tytuł:

The effect of multi-modal learning in Artificial Grammar Learning Task

Autorzy:

Rączy, Katarzyna
Skóra, Zuzanna
Szul, Maciej J.

Powiązania:

https://bibliotekanauki.pl/articles/637754.pdf

Data publikacji:

2015

Wydawca:

Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego

Tematy:

implicit learning, artificial grammar learning, multimodal learning

Opis:

The aim of the following study was to answer the question whether multimodal grammar learning would improve classification accuracy as compared with a unimodal learning. To test this hypothesis, an experimental procedure was constructed based on the research conducted by Conway and Christiansen [2006]. Their study regarded modality-specific Artificial Grammar Learning task (AGL). The grammatical sequence that was used in the study presented here was based on an algorithm with a finite number of results. Two additional sets of ungrammatical sequences were generated in a random manner. One of them was used in the learning phase in the control group while the second one, in the classification phase, in both, control and experimental groups. The obtained results showed that participants performed classification task above the chance level. These findings supported the hypothesis, which stated that grammar learning would occur [Conway and Christiansen 2006; Reber 1989]. We did not observe any effect regarding the hypothesized accuracy enhancement in a multimodal learning condition.

Źródło:

Rocznik Kognitywistyczny; 2015, 8
1689-927X

Pojawia się w:

Rocznik Kognitywistyczny

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 72.

Tytuł:

A new concept of an artificial ecosystem algorithm for optimization problems

Autorzy:

Baczynski, D.

Powiązania:

https://bibliotekanauki.pl/articles/205935.pdf

Data publikacji:

2016

Wydawca:

Polska Akademia Nauk. Instytut Badań Systemowych PAN

Tematy:

artificial ecosystem algorithm
optimization
computational intelligence methods

Opis:

This article provides, first, a review of applications of the ecosystem idea in different computational intelligence methods. The article presents the bases of ecosystem operation and a new concept for modelling the phenomena occurring in an ecosystem, with the aim of using these for optimization purposes. The author’s original form of the Artificial Ecosystem Algorithm (AEA) and its constituent parts are presented. The construction of the proposed algorithm was dedicated for continuous optimisation. The operation of the Artificial Ecosystem Algorithm is also compared with an Evolutionary Algorithm and PSO for six test functions for various numbers of variables. Conclusions concerning operation, structure and complexity of AEA are provided at the end.

Źródło:

Control and Cybernetics; 2016, 45, 1; 5-36
0324-8569

Pojawia się w:

Control and Cybernetics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 73.

Tytuł:

Correction of gas sensor dynamic errors by means of neural networks

Autorzy:

Roj, J.
Urzędniczok, H.

Powiązania:

https://bibliotekanauki.pl/articles/114150.pdf

Data publikacji:

2015

Wydawca:

Stowarzyszenie Inżynierów i Techników Mechaników Polskich

Tematy:

gas sensors
artificial neural networks
dynamic correction

Opis:

The paper presents a method based on artificial neural network (ANN) technique applied for correction of dynamic error of gas concentration measuring transducer. Its response time is about 8 minutes. The results obtained in the research of this transducer were used for learning and testing ANN, which were implemented in the dynamic correction task. The described method allowed for significant reduction of the transducer’s response time – the output signal was practically fixed after a time equal to one sampling period of output signal provided that the stimulus is a step function. In addition, the use of ANN allows reducing the impact of the transducer dynamic non-linearity on the correction effectiveness.

Źródło:

Measurement Automation Monitoring; 2015, 61, 12; 538-541
2450-2855

Pojawia się w:

Measurement Automation Monitoring

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 74.

Tytuł:

Simultaneous measurement of Cr, Mn and Fe diffusion in chromium-manganese steels

Autorzy:

Dudała, J.
Gilewicz-Wolter, J.
Stęgowski, Z.

Powiązania:

https://bibliotekanauki.pl/articles/148882.pdf

Data publikacji:

2005

Wydawca:

Instytut Chemii i Techniki Jądrowej

Tematy:

radiotracers
diffusion
steel
spectrum
artificial neural networks

Opis:

The paper presents an application of multitracer method to diffusion measurement in Cr-Mn steels. Radioisotope tracers of chromium 51Cr, manganese 54Mn and iron 59Fe were used simultaneously in the diffusion process. Measurements of gamma-ray spectra and the proper analysis enabled evaluation of concentration distribution for each tracer. As a new tool, artificial neural networks (ANN) method was used for analysis of spectra. The proper solution of the diffusion model was applied to the experimental tracers' distribution data and diffusion coefficients were determined.

Źródło:

Nukleonika; 2005, 50, 2; 67-71
0029-5922
1508-5791

Pojawia się w:

Nukleonika

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 75.

Tytuł:

Application of an artificial neural network for planning the trajectory of a mobile robot

Autorzy:

Białek, Marcin
Nowak, Patryk
Rybarczyk, Dominik

Powiązania:

https://bibliotekanauki.pl/articles/384525.pdf

Data publikacji:

2020

Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Tematy:

artificial neural network
mobile robot
machine vision

Opis:

This paper presents application of a neural network in the task of planning a mobile robot trajectory. First part contains a review of literature focused on the mobile robots’ orientation and overview of artificial neural networks’ application in area of robotics. In these sections devices and approaches for collecting data of mobile robots environment have been specified. In addition, the principle of operation and use of artificial neural networks in trajectory planning tasks was also presented. The second part focuses on the mobile robot that was designed in a 3D environment and printed with PLA material. The main onboard logical unit is Arduino Mega. Control system consist of 8-bits microcontrollers and 13 Mpix camera. Discussion in part three describes the system positioning capability using data from the accelerometer and magnetometer with overview of data filtration and the study of the artificial neural network implementation to recognize given trajectories. The last chapter contains a summary with conclusions.

Źródło:

Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 1; 13-23
1897-8649
2080-2145

Pojawia się w:

Journal of Automation Mobile Robotics and Intelligent Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 76.

Tytuł:

Motion planning for wheeled mobile robot using potential field method
Planowanie ruchu mobilnego robota kołowego z zastosowaniem sztucznego pola potencjalnego

Autorzy:

Żylski, W.

Powiązania:

https://bibliotekanauki.pl/articles/281931.pdf

Data publikacji:

2004

Wydawca:

Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej

Tematy:

mobile robots
obstacle avoidance
artificial potential field

Opis:

A potential field method in the real-time approach toward avoidance of obstacles for a mobile robot has been developed. A collision-free path and goal-seeking behaviour are calculated using an artificial potential field method. The proposed reactive nevigation approach is based on the coordination of elementary responses. To avoid convex obstacles, the navigator generates a "reaching the middle of the collision-free space" and goal-seeking behaviours. A control strategy based on artificial potential fields that generates a trajectory to be followed by a mobile robot that represents a reference for the robot at the same time is proposed. The effectiveness of the proposed method is numerically verified by a series of experiments on the emulator of the wheeled mobile robot Pioneer-2DX.
W pracy rozważa się problem generowania bezkolizyjnej trajektorii ruchu mobilnego robota w czasie rzeczywistym z zastosowaniem sztucznego pola potencjalnego. Analizuje się elementarne zachowanie mobilnego robota, takie jak: osiągnij środek wolnej przestrzeni oraz idź do celu. Wygenerowana trajektoria ruchu umożliwiająca omijanie przeszkód wypukłych uwzględnia elementarne zachowania robota. Stanowi ona trajektorię zadaną, która realizuje układ sterowania. Efektywność zaproponowanego rozwiązania została numerycznie zweryfikowana na emulatorze mibilnego robota kołowego Pioneer-2DX.

Źródło:

Journal of Theoretical and Applied Mechanics; 2004, 42, 3; 695-705
1429-2955

Pojawia się w:

Journal of Theoretical and Applied Mechanics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 77.

Tytuł:

Zastosowanie sztucznej inteligencji w diagnostyce procesów przetwórczych
Application of artificial intelligence in processing diagnostics

Autorzy:

Langman, J.

Powiązania:

https://bibliotekanauki.pl/articles/289360.pdf

Data publikacji:

2006

Wydawca:

Polskie Towarzystwo Inżynierii Rolniczej

Tematy:

przetwórstwo
sztuczna inteligencja
diagnostyka
artificial intelligence
diagnostics

Opis:

W artykule przedstawiono podstawowe schematy diagnostyczne złożonych procesów przetwórczych produktów rolniczych. Z uwagi na silnie nieliniowe związki pomiędzy wejściem i wyjściem danego procesu przetwórczego, do opracowania modułu wnioskowania diagnostycznego procesu można wykorzystać metody sztucznej inteligencji.
The article presents basic diagnostic diagrams of complex farm produce processing. Due to heavily non-linear relations between the input and output of the particular process, for developing a process diagnostic inferencing module methods of artificial intelligence can be used.

Źródło:

Inżynieria Rolnicza; 2006, R. 10, nr 13(88), 13(88); 279-285
1429-7264

Pojawia się w:

Inżynieria Rolnicza

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 78.

Tytuł:

Attempt to utilise histogram of vibration cepstrum of engine body for setting up the clearance model of the piston-cylinder assembly for PNN neural classifier

Autorzy:

Madej, H.
Czech, P.

Powiązania:

https://bibliotekanauki.pl/articles/243660.pdf

Data publikacji:

2008

Wydawca:

Instytut Techniczny Wojsk Lotniczych

Tematy:

diagnostics
combustion engines
artificial neural networks
vibration

Opis:

The paper presents an attempt to evaluate the wear of piston-cylinder assembly with the aid of vibration signal recorded on spark ignition (SI) engine body. The subject of the study was a four-cylinder combustion engine 1.2 dm3. Diagnosing combustion engines with vibration methods is specifically difficult due to the presence of multiple sources of vibration interfering with the symptoms of damages. Diagnosing engines with vibroacustic methods is difficult also due to the necessity to analyse non-stationary and transient signals [5]. Various methods for selection of usable signal are utilised in the diagnosing process. Changes of the engine technical condition resulting from early stages of wear are difficult to detect for the effect of mechanical defect masking by adaptive engine control systems [3]. According to the studies carried out, it is possible to utilise artificial neural networks for the evaluation of the clearance in piston-cylinder assembly. It was proven that it is possible to set up a properly operating neural classifier able to identify the degree of wear in the piston-cylinder assembly, based on the signal of vibration acceleration in the engine body. Faultless classification was successfully obtained with the use of probabilistic neural network with properly selected value of y coefficient. At the same time, based on the experiments carried out, the crucial role was confirmed for the selection of proper method for pre-treatment of data intended for neural network teaching.

Źródło:

Journal of KONES; 2008, 15, 3; 305-311
1231-4005
2354-0133

Pojawia się w:

Journal of KONES

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 79.

Tytuł:

A Prediction Study on Bremsstrahlung Photon Flux of Tungsten as a Radiological Anode Material by using MCNPX and ANN Modeling

Autorzy:

Tekin, H.
Kara, U.
Manici, T.
Altunsoy, E.
Erguzel, T.

Powiązania:

https://bibliotekanauki.pl/articles/1030108.pdf

Data publikacji:

2017-09

Wydawca:

Polska Akademia Nauk. Instytut Fizyki PAN

Tematy:

artificial neural network
Monte Carlo
medical imaging

Opis:

Medical imaging is a technique that is mostly known as visual representations of the parts of body for clinical scans and analysis. In imaging process for medical purpose there take part radiologists, radiographers/radiology technicians, medical physicists, sonographers, nurses, and engineers. As an apart issue from the medical imaging devices, we can treat X-rays using devices such as radiography, computed tomography, fluoroscopy, dental cone-beam computed tomography, and mammography. All these devices are to perform X-ray using during medical imaging process. An X-ray beam is generated in a vacuum tube that is principally composed of an anode and a cathode material to produce X-ray beams, whose name is X-ray tube. The anode represents the component in which the X-ray beam produced that made from a piece of metal. For decades, tungsten (W) has been used as an anode material of various X-ray tubes. Tungsten has high atomic number and high melting point of 3370°C with low rate of volatilization. In this study, we performed Monte Carlo simulation for flux calculations of W target by using MCNP-X general purpose code and considered result as a data set for artificial neural network. It can be concluded that the results agreed well between Monte Carlo simulation and artificial neural network prediction.

Źródło:

Acta Physica Polonica A; 2017, 132, 3; 433-435
0587-4246
1898-794X

Pojawia się w:

Acta Physica Polonica A

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 80.

Tytuł:

Problemy symulowania "sztucznego środowiska" habitatu z perspektywy sozopsychologii kosmicznej
Artificial environment of habitats from space sozopsychology perspective

Autorzy:

Terelak, Jan F.

Powiązania:

https://bibliotekanauki.pl/articles/1817823.pdf

Data publikacji:

2004-12-31

Wydawca:

Uniwersytet Kardynała Stefana Wyszyńskiego w Warszawie

Tematy:

sztuczne środowisko
sozopsychologia
artificial environment
sozopsychology
space

Opis:

The article tries to develop a theoretical and methodological basis for modeling human being's artificial environment in spaceships. The author, as a founder of "cosmic sozopsychology" understands this as a subdiscipline of sozopsychology, underlines the necessity to build a safety barrier to maintain and protect human life in an extreme cosmic environment. It demands a very detailed knowledge of man ecology including upper and bottom limits of tolerance for stressful factors existing in space. These aims are very useful for flight simulators. Among others, there are very important so-called "ecological imitators" of human work and human existence on board spaceships. The detailed knowledge of all stress factors has systematic character, including objective and subjective interactions within the human-environment system.

Źródło:

Studia Ecologiae et Bioethicae; 2004, 2, 1; 575-594
1733-1218

Pojawia się w:

Studia Ecologiae et Bioethicae

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 81.

Tytuł:

Guidance Note: Risk Management of Workers With Medical Electronic Devices and Metallic Implants in Electromagnetic Fields

Autorzy:

Hocking, B.
Mild, K. M.

Powiązania:

https://bibliotekanauki.pl/articles/89915.pdf

Data publikacji:

2008

Wydawca:

Centralny Instytut Ochrony Pracy

Tematy:

magnetic fields
microwave
interaction
pacemaker
artificial joint

Opis:

Medical electronic devices and metallic implants are found in an increasing number of workers. Industrial applications requiring intense electromagnetic fields (EMF) are growing and the potential risk of injurious interactions arising from EMF affecting devices or implants needs to be managed. Potential interactions include electromagnetic interference, displacement, and electrostimulation or heating of adjacent tissue, depending on the device or implant and the frequency of the fields. A guidance note, which uses a risk management framework, has been developed to give generic advice in (a) risk identification—implementing procedures to identify workers with implants and to characterise EMF exposure within a workplace; (b) risk assessment—integrating the characteristics of devices, the anatomical localisation of implants, occupational hygiene data, and application of basic physics principles; and (c) risk control—advising the worker and employer regarding safety and any necessary changes to work practices, while observing privacy.

Źródło:

International Journal of Occupational Safety and Ergonomics; 2008, 14, 2; 217-222
1080-3548

Pojawia się w:

International Journal of Occupational Safety and Ergonomics

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 82.

Tytuł:

Sztuczna trzustka - stan obecny i prognozy
Artificial pancreas - present and prediction

Autorzy:

Marcinkowska, M.
Wyrodek, K.
Żórawski, P.
Łagan, S.

Powiązania:

https://bibliotekanauki.pl/articles/98930.pdf

Data publikacji:

2010

Wydawca:

Politechnika Śląska. Katedra Biomechatroniki

Tematy:

sztuczna trzustka
implant
cukrzyca
artificial pancreas
diabetes

Opis:

Cukrzyca jest chorobą cywilizacyjną spowodowaną nieprawidłowym funkcjonowaniem trzustki, dotykającą coraz większy procent społeczeństwa. Leczenie objawów tej groźnej choroby uzależnia pacjenta od regularnych pomiarów glukozy, zastrzyków insulinowych oraz ścisłej diety. Dlatego wiele ośrodków naukowych pracuje nad skutecznymi sposobami regulacji poziomu cukru we krwi. Szczególnie obiecujące wyniki dają tzw. sztuczne trzustki, czyli mechaniczne, biologiczne i biochemiczne obiekty, których głównym zadaniem jest zapewnienie pacjentowi przez długi czas lub na stałe odpowiedniej dawki insuliny. Dzięki trafnemu doborowi pomiaru poziomu glukozy i metod dozowania, które odgrywają ważną rolę w całym procesie leczenia, można ułatwić życie milionom ludzi.
Diabetes is a lifestyle disease, caused by abnormal funcionality of pancreas, which afflict more and more people every year. Treatment of this dangerous diseases makes patients dependant on regular glucose measurement , insulin injections and strict diet. Because of that many research facilities is trying to develope an effective way of blood sugar regulation. Particulary propitious are so called “artifficial pancreases”. They are biological, biochemical and mechanical objects, which are suppoused to stabilise blood sugar concetration for longest possible period, ultimately for life. Thanks to apposite selection of glucose measurment and posology methods, which have main role in treatment, life of millions of people can be facilitated.

Źródło:

Aktualne Problemy Biomechaniki; 2010, 4; 131-136
1898-763X

Pojawia się w:

Aktualne Problemy Biomechaniki

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

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Skocz do pozycji: 83.

Tytuł:

A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms

Autorzy:

Almohammadi, K.
Hagras, H.
Alghazzawi, D.
Aldabbagh, G.

Powiązania:

https://bibliotekanauki.pl/articles/91676.pdf

Data publikacji:

2017

Wydawca:

Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych

Tematy:

e-learning
adaptive educational systems
artificial intelligence

Opis:

The adaptive educational systems within e-learning platforms are built in response to the fact that the learning process is different for each and every learner. In order to provide adaptive e-learning services and study materials that are tailor-made for adaptive learning, this type of educational approach seeks to combine the ability to comprehend and detect a person’s specific needs in the context of learning with the expertise required to use appropriate learning pedagogy and enhance the learning process. Thus, it is critical to create accurate student profiles and models based upon analysis of their affective states, knowledge level, and their individual personality traits and skills. The acquired data can then be efficiently used and exploited to develop an adaptive learning environment. Once acquired, these learner models can be used in two ways. The first is to inform the pedagogy proposed by the experts and designers of the adaptive educational system. The second is to give the system dynamic self-learning capabilities from the behaviors exhibited by the teachers and students to create the appropriate pedagogy and automatically adjust the e-learning environments to suit the pedagogies. In this respect, artificial intelligence techniques may be useful for several reasons, including their ability to develop and imitate human reasoning and decision-making processes (learning-teaching model) and minimize the sources of uncertainty to achieve an effective learning-teaching context. These learning capabilities ensure both learner and system improvement over the lifelong learning mechanism. In this paper, we present a survey of raised and related topics to the field of artificial intelligence techniques employed for adaptive educational systems within e-learning, their advantages and disadvantages, and a discussion of the importance of using those techniques to achieve more intelligent and adaptive e-learning environments.

Źródło:

Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 1; 47-64
2083-2567
2449-6499

Pojawia się w:

Journal of Artificial Intelligence and Soft Computing Research

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 84.

Tytuł:

Sztuczne języki wobec mediów społecznościowych
Artificial languages in social media

Autorzy:

Białous, Maciej

Powiązania:

https://bibliotekanauki.pl/articles/952130.pdf

Data publikacji:

2018

Wydawca:

Uniwersytet w Białymstoku. Wydawnictwo Uniwersytetu w Białymstoku

Tematy:

Esperanto
artificial languages
social media
subcultural capital

Opis:

The main subject of this article is the condition of artificial languagesin contemporary social media. An analysis of the available statistics of YouTube, Wikipedia and Facebook shows the unwavering position of Esperanto as the most common artificial language. Other artificial languages, primarily auxiliary languages created in the 19th and 20th centuries, such as volapük, ido, novial, interlingua, interlingue, find their niches in social media, but their presence seems to be supported by very narrow groups of enthusiasts. Contemporary artificial language projects, such as lojban or toki pona are in a similar position. Although Internet is the natural environment for their development, they have not managed to gain wider popularity among users. Certainly, artistic languages embedded in well-known popular culture texts find a great resonance among the internauts, as shows the examples of Klingon and Sindarin languages mentioned in the article.

Źródło:

Pogranicze. Studia Społeczne; 2018, 32; 167-181
1230-2392

Pojawia się w:

Pogranicze. Studia Społeczne

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 85.

Tytuł:

Monitoring of the average cutting forces from controller signals using artificial neural networks

Autorzy:

Bugdayci, Nevzat Bircan
Wegener, Konrad
Postel, Martin

Powiązania:

https://bibliotekanauki.pl/articles/2171771.pdf

Data publikacji:

2022

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

milling
cutting force monitoring
artificial neural network

Opis:

A new approach is presented to monitor the average cutting forces that are used for the calculation of the average cutting coefficients through neural networks using available controller signals. The cutting forces and the relevant controller signals are measured using a dynamometer and commercially available software supplied by the controller manufacturer in the calibration stage. Then a neural network is trained, which treats these controller signals as inputs and the cutting forces as the outputs. Finally, the average cutting forces for a new milling operation are predicted using the trained neural network without using a dynamometer. The proposed approach is validated using an experimental study, where a good match between predictions and measured forces is achieved. It is also shown that cutting coefficients can be calibrated and stability lobe diagrams can be generated using this method.

Źródło:

Journal of Machine Engineering; 2022, 22, 4; 54--70
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 86.

Tytuł:

Towards Metrology 4.0 in dimensional measurements

Autorzy:

Wieczorowski, Michal
Trojanowska, Justyna

Powiązania:

https://bibliotekanauki.pl/articles/2200256.pdf

Data publikacji:

2023

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

dimensional metrology
Industry 4.0
artificial intelligence

Opis:

The paper presents the transformations taking place in length and angle metrology related to Metrology 4.0, a measurement strategy resulting from Industry 4.0. Metrology in an industrial conditions is gradually focusing more and more on advanced measurement systems. The coming reality will see the development of communication between systems and their components, as well as the individual sensors belonging to them. The Internet of Things and artificial intelligence as well as the possibility of using augmented or virtual reality will play a momentous role. The demand for these technologies results in the development of new specialized software and hardware solutions, the use and availability of which are diametrically different compared to the past. Also, the use of AI and cybersecurity in metrology is a topic that is receiving increasing attention. Metrology 4.0 is therefore becoming a very important part of the functioning of industry, changing the philosophy and organization of measurements carried out on the basis of new measurement techniques.

Źródło:

Journal of Machine Engineering; 2023, 23, 1; 100--113
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 87.

Tytuł:

Development of a Committee of Artificial Neural Networks for the Performance Testing of Compressors for Thermal Machines in Very Reduced Times

Autorzy:

Coral, R.
Flesch, C. A.
Penz, C. A.
Borges, M. R.

Powiązania:

https://bibliotekanauki.pl/articles/221092.pdf

Data publikacji:

2015

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

refrigeration compressor
artificial neural networks
performance test

Opis:

This paper presents a new test method able to infer - in periods of less than 7 seconds - the refrigeration capacity of a compressor used in thermal machines, which represents a time reduction of approximately 99.95% related to the standardized traditional methods. The method was developed aiming at its application on compressor manufacture lines and on 100% of the units produced. Artificial neural networks (ANNs) were used to establish a model able to infer the refrigeration capacity based on the data collected directly on the production line. The proposed method does not make use of refrigeration systems and also does not require using the compressor oil.

Źródło:

Metrology and Measurement Systems; 2015, 22, 1; 79-88
0860-8229

Pojawia się w:

Metrology and Measurement Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 88.

Tytuł:

Preface to special issue on Modern Intelligent Systems Concepts II

Autorzy:

Idrissi, Abdellah

Powiązania:

https://bibliotekanauki.pl/articles/2141893.pdf

Data publikacji:

2020

Wydawca:

Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów

Tematy:

modern intelligent systems
artificial neural network
ANN

Źródło:

Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 4; 35-36
1897-8649
2080-2145

Pojawia się w:

Journal of Automation Mobile Robotics and Intelligent Systems

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 89.

Tytuł:

Collective Work as an Inspiration for Legal Qualification of Computer-Generated Works – Comparative Analysis of the Institution from Polish and French Copyright Law Perspective

Autorzy:

Kowala, Michalina

Powiązania:

https://bibliotekanauki.pl/articles/1195197.pdf

Data publikacji:

2021-06-16

Wydawca:

Katolicki Uniwersytet Lubelski Jana Pawła II

Tematy:

Collective work
Artificial Intelligence
copyright
French proposals

Opis:

The paper focuses on the question whether the institution of collective work could be used as an inspiration in order to regulate the legal situation of computer-generated works. Technological progress makes the creation of art by artificial intelligence with only minimal human participation an increasingly popular phenomenon. For this reason, world literature more and more often discusses how to legally qualify algorithmic creativity. An interesting idea, proposed in January 2020 by French Superior Council of Literary and Artistic Property is to regulate the issue alike the institution of a collective work. The study of the nature of computer-generated creativity on the example of the Endel musical start-up conducted in this paper will help to understand the complexity of the problem of algorithmic creativity. It will be also a valuable introduction to the analysis of the institution of collective work in Polish and French law. This comparative study will be important in the context of assessing the French proposals for the legal qualification of algorithmic creativity and examining to what extent the model of the collective work can be applied to computer-generated works in Polish copyright law.

Źródło:

Review of European and Comparative Law; 2021, 45, 2; 35-56
2545-384X

Pojawia się w:

Review of European and Comparative Law

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 90.

Tytuł:

Application of Artificial Neural Network into the Water Level Modeling and Forecast

Autorzy:

Sztobryn, M.

Powiązania:

https://bibliotekanauki.pl/articles/116204.pdf

Data publikacji:

2013

Wydawca:

Uniwersytet Morski w Gdyni. Wydział Nawigacyjny

Tematy:

artificial neural network (ANN)
hydrography
coastal area

Opis:

The dangerous sea and river water level increase does not only destroy the human lives, but also generate the severe flooding in coastal areas. The rapidly changes in the direction and velocity of wind and associated with them sea level changes could be the severe threat for navigation, especially on the fairways of small fishery harbors located in the river mouth. There is the area of activity of two external forcing: storm surges and flood wave. The aim of the work was the description of an application of Artificial Neural Network (ANN) methodology into the water level forecast in the case study field in Swibno harbor located is located at 938.7 km of the Wisla River and at a distance of about 3 km up the mouth (Gulf of Gdansk ‐ Baltic Sea).

Źródło:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2013, 7, 2; 219-223
2083-6473
2083-6481

Pojawia się w:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 91.

Tytuł:

Managing Human Capital with AI: Synergy of Talent and Technology

Autorzy:

Bashynska, Iryna
Prokopenko, Olha
Sala, Dariusz

Powiązania:

https://bibliotekanauki.pl/articles/21968603.pdf

Data publikacji:

2023-09-30

Wydawca:

Wyższa Szkoła Finansów i Prawa w Bielsku-Białej

Tematy:

Artificial Intelligence (AI)
HR management
Talent Management

Opis:

The article explores how integrating artificial intelligence in human capital management can create a powerful synergy between human talent and cutting-edge technology. It delves into the ways in which AI is transforming the HR landscape, from recruitment and onboarding to employee development and retention. The article discusses the benefits of using AI-driven tools and strategies to enhance talent acquisition, workforce productivity, and employee satisfaction. The strategic advantages of AI-driven human capital management are evident from agile workforce planning and talent acquisition optimization to dynamic performance management and data-driven decision-making. The ability to continuously adapt to market changes, streamline processes, and provide personalized learning and development opportunities enhances an organization's resilience and competitiveness in a fast-paced and uncertain business environment. Moreover, the amalgamation of AI and human capital management is a technological advancement and a strategic imperative. It empowers organizations to harness the synergy of talent and technology, positioning them for a smarter, more agile, and prosperous future. As the digital age continues to unfold, this strategic merger will be central to unlocking the full potential of human capital in organizations and achieving a sustainable and competitive edge in the modern workplace.

Źródło:

Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej; 2023, 27, 3; 39-45
2543-9103
2543-411X

Pojawia się w:

Zeszyty Naukowe Wyższej Szkoły Finansów i Prawa w Bielsku-Białej

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 92.

Tytuł:

A repeatability study of artificial neural network predictions in flow stress model development for a magnesium alloy

Autorzy:

Siewior, Hubert
Madej, Łukasz

Powiązania:

https://bibliotekanauki.pl/articles/29520089.pdf

Data publikacji:

2021

Wydawca:

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH

Tematy:

flow stress
artificial neural networks
feedforward
recursive

Opis:

This work is devoted to an evaluation of the capabilities of artificial neural networks (ANN) in terms of developing a flow stress model for magnesium ZE20. The learning procedure is based on experimental flow-stress data following inverse analysis. Two types of artificial neural networks are investigated: a simple feedforward version and a recursive one. Issues related to the quality of input data and the size of the training dataset are presented and discussed. The work confirms the general ability of feedforward neural networks in flow stress data predictions. It also highlights that slightly better quality predictions are obtained using recursive neural networks.

Źródło:

Computer Methods in Materials Science; 2021, 21, 4; 209-218
2720-4081
2720-3948

Pojawia się w:

Computer Methods in Materials Science

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 93.

Tytuł:

ChatGPT – potrzebne narzędzie czy przekleństwo naszych czasów?
ChatGPT – a necessary tool or the curse of our times?

Autorzy:

Czerski, Wojciech Marcin

Powiązania:

https://bibliotekanauki.pl/articles/28394933.pdf

Data publikacji:

2023-11

Wydawca:

Uniwersytet Rzeszowski

Tematy:

sztuczna inteligencja
ChatGPT
edukacja
artificial intelligence
education

Opis:

Dynamiczny rozwój sztucznej inteligencji i integracja jej z wieloma usługami, z których codziennie korzysta miliony osób na całym świecie stała się faktem. Rosnąca popularność generatorów opartych na AI takich jak np. ChatGPT skłania do refleksji nad przyszłością procesu edukacji. Wprowadzenie zakazów ich stosowania przyniesie zapewne odwrotny do zamierzonego skutek. Jednak, jak pokazuje eksperyment Jordana Petersona, generatory językowe są już tak zaawansowane, że mogą przygotować teksty, które trudno jest odróżnić od tych napisanych przez człowieka. Dlatego też nie można dać dowolności w stosowaniu tych narzędzi przez uczniów i nauczycieli, bez wcześniejszego wyposażenia ich w odpowiednie umiejętności np. krytycznego myślenia.
The rapid development of artificial intelligence and its integration into many services used daily by millions of people around the world has become a reality. The growing popularity of AIbased generators such as ChatGPT, for example, makes us reflect on the future of the education process. Banning their use is likely to be counterproductive. However, as Jordan Peterson's experiment shows, language generators are already so advanced that they can produce texts that are difficult to distinguish from those written by humans. Therefore, the use of these tools by students and teachers cannot be given free rein without first equipping them with appropriate skills such as critical thinking.

Źródło:

Dydaktyka informatyki; 2023, 18, 18; 55-63
2083-3156
2543-9847

Pojawia się w:

Dydaktyka informatyki

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 94.

Tytuł:

The construction of environmental leadership with local community behavior in natural resource conservation based on the Mamar system in West Timor, East Nusa Tenggara

Autorzy:

Lewoleba, Gregorius Goran
Widianarko, Budi
Dewi, Trihoni Nalesti

Powiązania:

https://bibliotekanauki.pl/articles/24987698.pdf

Data publikacji:

2023

Wydawca:

Polska Akademia Nauk. Stowarzyszenie Infrastruktura i Ekologia Terenów Wiejskich PAN

Tematy:

artificial oasis
ecology
Mataf
sztuczna oaza
ekologia

Opis:

Mamar is an artificial oasis that provides a base for natural resource conservation in West Timor. The uniqueness of Mamar is its application in arid natural environments through a sustainable local leadership system, and it has a positive impact ecologically, economically, and socially. However, the Mamar system needs to receive more attention from the government in conserving natural resources. Such studies like Mamar's have been conducted elsewhere in Indonesia under different names, but they were applied in areas with wet and relatively fertile climates. Also, research on Mamar has been carried out by several parties related to the function of Mamar economically and the condition and structure of Mamar physically and biologically. However, research on Mamar related to the Construction of Environmental Leadership with local community behavior in Mamar based natural resource conservation has never been done. This research aims to analyze the construction of environmental leadership in natural resource conservation practices based on the Mamar system. This research was conducted through qualitative methods and critical interpretive approaches, with data collection techniques in the form of observation and interviews. The results indicate that Mamar based natural resource conservation in West Timor has positively and significantly impacted social, economic, and ecological aspects and has lasted for hundreds of years since the 17th century. It is done through the mechanism of Environmental Leadership Control through a strong, effective, and sustainable Local Leadership Role in Amarasi West Timor, with Local Leaders called Atupas, Mataf, Tobe, and Temukung.

Źródło:

Infrastruktura i Ekologia Terenów Wiejskich; 2023, I/1; 133--153
1732-5587

Pojawia się w:

Infrastruktura i Ekologia Terenów Wiejskich

Dostawca treści:

Biblioteka Nauki

/5

Artykuł

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Skocz do pozycji: 95.

Tytuł:

Expert systems

Autorzy:

Pietraszek, K.

Powiązania:

https://bibliotekanauki.pl/articles/92988.pdf

Data publikacji:

2009

Wydawca:

Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach

Tematy:

artificial intelligence
expert systems
distributed expert systems

Opis:

Paper presents the key issues relating to the construction of expert systems, their types and uses.

Źródło:

Studia Informatica : systems and information technology; 2009, 2(13); 73-83
1731-2264

Pojawia się w:

Studia Informatica : systems and information technology

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 96.

Tytuł:

Optimisation of high-speed steels chemical composition using the artificial intelligence methods

Autorzy:

Sitek, W.

Powiązania:

https://bibliotekanauki.pl/articles/99657.pdf

Data publikacji:

2011

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

tool steel
materials design
artificial intelligence methods

Opis:

The main goal of the research carried out was developing the design methodology for the new high-speed steels with the required properties, including hardness and fracture toughness, as the main properties guaranteeing the high durability and quality of tools made from them. It was decided that hardness and fracture toughness KIc are the criteria used during the high-speed steels design. In case of hardness, the statistical and neural netw chemical composition and its heat treatment parameters, i.e., austenitizing- and tempering temperatures. In the second case - high-speed steels fracture toughness, the neural network model was developed, makin it possible to compute the KIc factor based on the steel chemical composition and its heat treatment parameters. The developed material models were used for designing the chemical compositions if the new high-speed steel, demonstrating the desired properties, i.e., hardness and fracture toughness. Methodology was developed to this end, employing the evolutionary algorithms, multicriteria optimisation of the high-speed steels chemical composition.

Źródło:

Journal of Machine Engineering; 2011, 11, No. 1-2; 120-133
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 97.

Tytuł:

Gap Filling of Daily Sea Levels by Artificial Neural Networks

Autorzy:

Pashova, L.
Koprinkova-Hristova, P. D.
Popova, S.

Powiązania:

https://bibliotekanauki.pl/articles/116147.pdf

Data publikacji:

2013

Wydawca:

Uniwersytet Morski w Gdyni. Wydział Nawigacyjny

Tematy:

artificial neural network (ANN)
hydrography
Black Sea

Opis:

In the recent years, intelligent methods as artificial neural networks are successfully applied for data analysis from different fields of the geosciences. One of the encountered practical problems is the availability of gaps in the time series that prevent their comprehensive usage for the scientific and practical purposes. The article briefly describes two types of the artificial neural network (ANN) architectures ‐ Feed‐ Forward Backpropagation (FFBP) and recurrent Echo state network (ESN). In some cases, the ANN can be used as an alternative on the traditional methods, to fill in missing values in the time series. We have been conducted several experiments to fill the missing values of daily sea levels spanning a 5‐years period using both ANN architectures. A multiple linear regression for the same purpose has been also applied. The sea level data are derived from the records of the tide gauge Burgas, which is located on the western Black Sea coast. The achieved results have shown that the performance of ANN models is better than that of the classical one and they are very promising for the real‐time interpolation of missing data in the time series.

Źródło:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2013, 7, 2; 225-232
2083-6473
2083-6481

Pojawia się w:

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 98.

Tytuł:

Hyperparameter optimization of artificial neural networks to improve the positional accuracy of industrial robots

Autorzy:

Uhlmann, Eckart
Polte, Mitchel
Blumberg, Julian
Li, Zhoulong
Kraft, Adrian

Powiązania:

https://bibliotekanauki.pl/articles/1429023.pdf

Data publikacji:

2021

Wydawca:

Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych

Tematy:

artificial neural network
robot calibration
hyperparameter optimization

Opis:

Due to the rising demand for individualized product specifications and short product innovation cycles, industrial robots gain increasing attention for machining operations as milling and forming. Limitations in their absolute positional accuracy are addressed by enhanced modelling and calibration techniques. However, the resulting absolute positional accuracy stays in a range still not feasible for general purpose milling and forming tolerances. Improvements of the model accuracy demand complex, often not accessible system knowledge on the expense of realtime capability. This article presents a new approach using artificial neural networks to enhance positional accuracy of industrial robots. A hyperparameter optimization is applied, to overcome the downside of choosing an appropriate artificial neural network structure and training strategy in a trial and error procedure. The effectiveness of the method is validated with a heavy-duty industrial robot. It is demonstrated that artificial neural networks with suitable hyperparameters outperform a kinematic model with calibrated geometric parameters.

Źródło:

Journal of Machine Engineering; 2021, 21, 2; 47-59
1895-7595
2391-8071

Pojawia się w:

Journal of Machine Engineering

Dostawca treści:

Biblioteka Nauki

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Skocz do pozycji: 99.

Tytuł:

The use of Big Data in healthcare: lessons for developing countries from Uzbekistan
Zastosowanie Big Data w ochronie zdrowia: informacje dla krajów rozwijających się na przykładzie Uzbekistanu

Autorzy:

Vikhrov, I.
Abdurakhimov, Z.
Ashirbaev, S.

Powiązania:

https://bibliotekanauki.pl/articles/2048793.pdf

Data publikacji:

2021

Wydawca:

Akademia Bialska Nauk Stosowanych im. Jana Pawła II w Białej Podlaskiej

Tematy:

Big Data
artificial intelligence
healthcare
medicine
digitalization

Opis:

The use of Big Data (BD) in medicine is fundamental for the development of digital healthcare, including the implementation of smart medicine and artificial intelligence (AI) technologies. Proper organization of BD is necessary for the creation and training of AI algorithms, and for AI to work with great efficiency and accuracy. In this review, the existing models for creating and storing BD sets are described, and the numerous opportunities provided to the healthcare system by the effective use of these tools are outlined. The BD phenomenon is especially important for the developing countries, which can use the example of already completed projects and achievements in the field of BD to more effectively implement such technologies in their own countries. However, there are still some problems with the implementation of BD technologies in practical healthcare of the developing countries. One of the fundamental issues is the financial cost of developing, implementing and maintaining a system for collecting, storing and using BD, including the cost of highly qualified personnel, and expensive equipment and network infrastructure that needs to be regularly updated. Another problem is the confidentiality and security of data in healthcare.
Zastosowanie Big Data (BD) wmedycynie jest kluczowe dla rozwoju cyfrowej opieki zdrowotnej, w tym technologii smart w medycynie i wprowadzeniu technologii sztucznej inteligencji (AI, ang. artificial intelligence). Bez dobrze zorganizowanej technologii BD nie ma możliwości stworzenia i dopracowania algorytmów AI. Tylko wtedy AI będzie mogło pracować skutecznie i dokładnie. W niniejszym przeglądzie, autorzy analizują istniejące modele tworzenia zestawów BD, przechowywania ich, a także wiele możliwości, które otwierają się dla systemu opieki zdrowotnej w przypadku skutecznego zastosowania BD i AI. Zastosowanie BD jest szczególnie istotne w przypadku krajów rozwijających się, które mogą korzystać z przykładów zrealizowanych projektów i osiągnięć w dziedzinie BD, w celu wdrożenia takich technologii w swoich krajach. Niemniej jednak, w praktyce, wdrożenie technologii BD w służbie zdrowia rozwijających się krajów wiąże się z różnymi problemami. Jedną z najbardziej istotnych kwestii jest koszt rozwijania, wdrażania i utrzymania systemu zbierania, przechowywania i wykorzystywania BD, włączając w to wysoko wykwalifikowany personel oraz kosztowne wyposażenie i infrastrukturę sieci, która musi być regularnie modernizowana. Kolejny problem stanowi natomiast kwestia poufności i ochrony danych w służbie zdrowia.

Źródło:

Health Problems of Civilization; 2021, 15, 2; 142-151
2353-6942
2354-0265

Pojawia się w:

Health Problems of Civilization

Dostawca treści:

Biblioteka Nauki

/5

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Skocz do pozycji: 100.

Tytuł:

Freezability and fertility of frozen-thawed boar semen supplemented with ostrich egg yolk lipoproteins

Autorzy:

Fraser, L.
Zasiadczyk, Ł.
Strzeżek, J.
Strzeżek, R.
Karpiesiuk, K.

Powiązania:

https://bibliotekanauki.pl/articles/2087726.pdf

Data publikacji:

2018

Wydawca:

Polska Akademia Nauk. Czytelnia Czasopism PAN

Tematy:

boar
egg yolk lipoproteins
cryopreservation
artificial insemination

Źródło:

Polish Journal of Veterinary Sciences; 2018, 21, 2; 255-263
1505-1773

Pojawia się w:

Polish Journal of Veterinary Sciences

Dostawca treści:

Biblioteka Nauki

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