Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "artificial intelligent" wg kryterium: Temat

  Lista filtrów

Dostawca treści

Wyrównaj
Wyświetlanie 1-15 z 17
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
Artykuł
Tytuł:
Artificial Neural Network Approach to Mobile Location Estimation in GSM Network
Autorzy:
Ezema, L. S.
Ani, C. I.
Powiązania:
https://bibliotekanauki.pl/articles/226374.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
neural network
artificial intelligent
Levenberg-Marquardt
multi-layered perceptron
mobile location estimation
GSM
Opis:
The increase in utilisation of mobile location-based services for commercial, safety and security purposes among others are the key drivers for improving location estimation accuracy to better serve those purposes. This paper proposes the application of Levenberg Marquardt training algorithm on new robust multilayered perceptron neural network architecture for mobile positioning fitting for the urban area in the considered GSM network using received signal strength (RSS). The key performance metrics such as accuracy, cost, reliability and coverage are the major points considered in this paper. The technique was evaluated using real data from field measurement and the results obtained proved the proposed model provides a practical positioning that meet Federal Communication Commission (FCC) accuracy requirement.
Źródło:
International Journal of Electronics and Telecommunications; 2017, 63, 1; 39-44
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
Tytuł:
Intelligent control of CO2-EOR process
Autorzy:
Mikołajczak, E.
Stopa, J.
Wojnarowski, P.
Janiga, D.
Czarnota, R.
Powiązania:
https://bibliotekanauki.pl/articles/298639.pdf
Data publikacji:
2018
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CO2-EOR
production optimization
intelligent control
artificial intelligence
Opis:
One of the enhanced oil recovery methods, which enables to recover an additional 15–20% of oil resources is the CO2-EOR method based on carbon dioxide injection into partially depleted reservoirs. Determination of the optimal process control facilitates effective use of natural resources. The idea of this paper is to develop an algorithm that optimizes the CO2-EOR process. This algorithm is based on the combination of artificial intelligence, control theory and computer simulation of hydrocarbon reservoirs. The effect of the proposed solution is the CO2-EOR process control, which is optimal in the case of the adopted objective function expressing the economic value of the project. The obtained results suggest that the use of artificial intelligence methods in the hydrocarbon production allows to improve the process efficiency by an additional 31% compared to the project carried out with the use of engineering knowledge.
Źródło:
AGH Drilling, Oil, Gas; 2018, 35, 1; 235-243
2299-4157
2300-7052
Pojawia się w:
AGH Drilling, Oil, Gas
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
China’s innovation-based approach in the fight of Covid-191. An estimation of China’s impact for global health to come
Autorzy:
Perkuhn, Josie-Marie
Powiązania:
https://bibliotekanauki.pl/articles/1965944.pdf
Data publikacji:
2022-01-01
Wydawca:
Academicus. International Scientific Journal publishing house
Tematy:
Innovation
Covid-19
Healthcare
intelligent robots
telemedicine
Artificial intelligence
China
Opis:
When the infectious coronavirus SARS-CoV-2 broke out it resulted in a global crisis. In the fight of Covid-19, China’s government relied on its strength to apply new technologies, i.e. for controlling and containment of the virus by tracing and tracking Chinese citizens. Relying on the trajectory of industrialisation, China has pursued a path of innovation. While it is reasoned that China’s advantage might have origin in the experience of the SARS outbreak almost two decades ago, this article argues that mainly China’s innovation- driven climate has favoured the application of new technologies in combatting the current crisis. Based on the innovation-driven trajectory this article explores China’s pathway out the corona crisis and how this might strengthen China’s role in global health governance. In order to pursue this aim, this article explores several areas, in which the next generation of technologies, such as AI-based diagnostic or intelligent robots were applied and concludes with an outlook based on the formulated political agenda, strategic considerations and initial international cooperation regarding China’s impact for global health.
Źródło:
Academicus International Scientific Journal; 2022, 13, 25; 24-44
2079-3715
2309-1088
Pojawia się w:
Academicus International Scientific Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial intelligence at universities in Poland
Autorzy:
Stachowicz-Stanusch, A.
Amann, W.
Powiązania:
https://bibliotekanauki.pl/articles/392992.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
artificial intelligence
chatbot
intelligent tutoring system
sztuczna inteligencja
wirtualny asystent
inteligentny system nauczania
Opis:
Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. Chatbots are one of those AI-driven solutions that support learning and teaching processes also in higher education institutions. In this paper there are presented two cases of chatbot technology implementation at Polish universities. Chatbots develop students’ technical and programming skills, but also provide the possibility of gaining linguistic expertise. However, a chatbot’s teaching mastery depends also on its users. That is why it is important to get students to truly understand AI systems and feel responsible for the conversation. But above all, we should ensure that chatbots respect human and civil rights.
Źródło:
Organizacja i Zarządzanie : kwartalnik naukowy; 2018, 2; 65-82
1899-6116
Pojawia się w:
Organizacja i Zarządzanie : kwartalnik naukowy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Artificial (un)Intelligence – an Opportunity or a Threat?
Autorzy:
Raczykowska, Aneta
Powiązania:
https://bibliotekanauki.pl/articles/2042845.pdf
Data publikacji:
2020-11-05
Wydawca:
Uniwersytet Rzeszowski
Tematy:
artificial intelligence
human intelligence
chatbots
bots
intelligent virtual assistant
robots
dissemination of robots
Opis:
The article contains considerations relating to the dynamic development of artificial intelligence, which is the fastest growing technology in the world. The article attempts to define concepts that state what intelligence and artifical intelligence is (1). It also draws attention to the development of artificial intelligence (2). All of them are closing arguments seeking answers to the question: Artificial intelligence – an opportunity or a threat? (3). It should be borne in mind that the continuous improvement of the possibilities of artificial intelligence means that it will be able to surpass human intellectually.
Źródło:
Journal of Education, Technology and Computer Science; 2020, 11, 1(31); 64-69
2719-6550
Pojawia się w:
Journal of Education, Technology and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
AI-based Yolo v4 intelligent traffic light control system
Autorzy:
Prathap, Boppuru Rudra
Kumar, Kukatlapalli Pradeep
Chowdary, Cherukuri Ravindranath
Hussain, Javid
Powiązania:
https://bibliotekanauki.pl/articles/27314354.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
traffic jam
traffic light system
traffic management
intelligent monitoring
signal switching algorithm
artificial intelligence
Opis:
With the growing number of city vehicles, traffic management is becoming a persistent challenge. Traffic bottlenecks cause significant disturbances in our everyday lives and raise stress levels, negatively impacting the environment by increasing carbon emissions. Due to the population increase, megacities are experiencing severe challenges and significant delays in their day-to-day activities related to transportation. An intelligent traffic management system is required to assess traffic density regularly and take appropriate action. Even though separate lanes are available for various vehicle types, wait times for commuters at traffic signal points are not reduced. The proposed methodology employs artificial intelligence to collect live images from signals to address this issue in the current system. This approach calculates traffic density, utilizing the image processing technique YOLOv4 for effective traffic congestion management. The YOLOv4 algorithm produces better accuracy in the detection of multiple vehicles. Intelligent monitoring technology uses a signal-switching algorithm at signal intersections to coordinate time distribution and alleviate traffic congestion, resulting in shorter vehicle waiting times.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 4; 53--61
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision system for stock data forecasting based on Hopfield artificial neural network
System decyzyjny do przewidywania cen akcji oparty na sztucznej sieci neuronowej Hopfielda
Autorzy:
Paluch, M.
Jackowska-Strumiłło, L.
Powiązania:
https://bibliotekanauki.pl/articles/407729.pdf
Data publikacji:
2016
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
hybrid intelligent system
Hopfield artificial neural network
hybrydowy inteligentny system
sztuczna sieć neuronowa Hopfielda
Opis:
The paper describes a new method using Hopfield artificial neural network combined with technical analysis fractal analysis and feed-forward artificial neural networks for predicting share prices for a next day on a Stock Exchange. The developed method and networks are implemented in an Expert System, which is proposed as a valuable comprehensive, analytical tool. A new algorithm for artificial neural networks training and testing is also presented. It automatically chooses the best network structure, and the most important input parameters
Artykuł opisuje nową metodę zastosowania sztucznej sieci neuronowej Hopfielda połączonej z analizą techniczną, fraktalną oraz jednokierunkowymi sztucznymi sieciami neuronowymi do przewidywania przyszłych cen akcji na Giełdzie Papierów Wartościowych. Opisane nowe metody zostały zaimplementowane w systemie ekspertowym, który jest polecany jako kompleksowe narzędzie do badania aktualnych i przyszłych zachowań rynku. Zaprezentowany został również algorytm nauki testowania sztucznych sieci neuronowych, który na końcu wybiera najlepszą z nich.
Źródło:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2016, 2; 28-33
2083-0157
2391-6761
Pojawia się w:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine Learning in Cyber-Physical Systems and manufacturing singularity – it does not mean total automation, human is still in the centre: Part II – In-CPS and a view from community on Industry 4.0 impact on society
Autorzy:
Putnik, Goran D.
Shah, Vaibhav
Putnik, Zlata
Ferreira, Luis
Powiązania:
https://bibliotekanauki.pl/articles/1428709.pdf
Data publikacji:
2021
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
human role
artificial intelligence
machine learning
manufacturing singularity
intelligent machine architecture
cyber-physical systems
Industry 4.0
Opis:
In many discourses, popular as well as scientific, it is suggested that the "massive" use of Artificial Intelligence (AI), including Machine Learning (ML), and reaching the point of "singularity" through so-called Artificial General Intelligence (AGI), and Artificial Super-Intelligence (ASI), will completely exclude humans from decision making, resulting in total dominance of machines over human race. Speaking in terms of manufacturing systems, it would mean that the intelligence and total automation would be achieved (once the humans are excluded). The hypothesis presented in this paper is that there is a limit of AI/ML autonomy capacity, and more concretely, the ML algorithms will be not able to become totally autonomous and, consequently, the human role will be indispensable. In the context of the question, the authors of this paper introduce the notion of the manufacturing singularity and present an intelligent machine architecture towards the manufacturing singularity, arguing that the intelligent machine will always be human dependent. In addition, concerning the manufacturing, the human will remain in the centre of Cyber-Physical Systems (CPS) and in Industry 4.0. The methodology to support this argument is inductive, similarly to the methodology applied in a number of texts found in literature, and based on computational requirements of inductive inference based machine learning. The argumentation is supported by several experiments that demonstrate the role of human within the process of machine learning. Based on the exposed considerations, a generic architecture of intelligent CPS, with embedded ML functional modules in multiple learning loops, is proposed in order to evaluate way of use of ML functionality in the context of CPS. Similar to other papers found in literature, due to the (informal) inductive methodology applied, considering that this methodology does not provide an absolute proof in favour of, or against, the hypothesis defined, the paper represents a kind of position paper. The paper is divided into two parts. In the first part a review of argumentation from literature in favour of and against the thesis on the human role in future was presented, as well as the concept of the manufacturing singularity was introduced. Furthermore, an intelligent machine architecture towards the manufacturing singularity was proposed, arguing that the intelligent machine will be always human dependent and, concerning the manufacturing, the human will remain in the centre. The argumentation is based on the phenomenon related to computational machine learning paradigm, as intrinsic feature of the AI/ML1, through the inductive inference based ML algorithms, whose effectiveness is conditioned by the human participation. In the second part, an architecture of the Cyber-Physical (Production) Systems (CPPS) with multiple learning loops is presented, together with a set of experiments demonstrating the indispensable human role. Finally, a discussion of the problem from the manufacturing community point of view on future of human role in Industry 4.0 as the environment for advanced AI/ML applications is registered.
Źródło:
Journal of Machine Engineering; 2021, 21, 1; 133-153
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The main challenges and barriers to the successful “smart shipping”
Autorzy:
Alop, A.
Powiązania:
https://bibliotekanauki.pl/articles/116779.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
smart shipping
maritime affairs
intelligent ship
no records
autonomous ship
cyber security
artificial intelligence (AI)
SWOT analyze
Opis:
As with the powerful digitalization of the world in the 21st century, maritime affairs, like all other areas, are facing not only new opportunities, but also new big challenges and problems. From the point of view of the development of new technologies, it seems that everything is possible, for example the bringing of so-called "intelligent ships" and “smart ports” into one global system on base of internet of things and big data applications. However, if to look at the matter further, a number of factors and obstacles may appear which could be major threats to the normal functioning of such a system. While it is clear that systems with such high degree of complexity are even technically vulnerable, it seems to the author of this paper that questions that are no less difficult are in the field of human relations. For example, when ships and ports are becoming more and more "smarter" and need less and less people to intervene in their interactions, who at the end will be responsible for everything that can and definitely will happened at sea or in the port? What about liability of cargo carrier if “carrier” is an autonomous ship without any person on-board during the entire journey? How to ensure cyber security? How to be secured against the risks of so-called artificial intelligence systemic errors? It is possible that only new non-trivial approaches can lead to acceptable results in this area, but what they may be and whether these approaches are possible at all - these questions are still waiting for answers.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 3; 521-528
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Present state and future application of smart technologies in manufacturing processes
Autorzy:
Chmielarz, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/112086.pdf
Data publikacji:
2019
Wydawca:
Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:
Artificial Intelligence
intelligent automation
Cyber-Physical Systems
Internet of Things
Robotic Process Automation
inteligentne technologie
sztuczna inteligencja
Internet przedmiotów
automatyzacja
Opis:
The paper concentrates on the issues of applying smart technologies in the manufacturing processes. The author includes in it brief descriptions of the smart technologies that contributed to the emergence of Industry 4.0 concept. Additionally, based on reports and surveys conducted on a global scale re-garding the application of intelligent technologies, the author analyses the current state of implementing these technologies in manufacturing processes and provides forecasts regarding the adoption of the solutions based on Artificial Intelligence in global enterprises in the near future.
Źródło:
Production Engineering Archives; 2019, 24; 14-19
2353-5156
2353-7779
Pojawia się w:
Production Engineering Archives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent system supporting technological process planning for machining and 3D printing
Autorzy:
Rojek, Izabela
Mikołajewski, Dariusz
Kotlarz, Piotr
Macko, Marek
Kopowski, Jakub
Powiązania:
https://bibliotekanauki.pl/articles/2090703.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
artificial intelligence
AI
intelligent system
technological process
machining
3D printing
sztuczna inteligencja
system inteligentny
proces technologiczny
obróbka skrawaniem
druk 3D
Opis:
The study aimed to develop a system supporting technological process planning for machining and 3D printing. Such a system should function similarly to the way human experts act in their fields of expertise and should be capable of gathering the necessary knowledge, analysing data, and drawing conclusions to solve problems. This could be done by utilising artificial intelligence (AI) methods available within such systems. The study proved the usefulness of AI methods and their significant effectiveness in supporting technological process planning. The purpose of this article is to show an intelligent system that includes knowledge, models, and procedures supporting the company’s employees as part of machining and 3D printing. Few works are combining these two types of processing. Nowadays, however, these two types of processing overlap each other into a common concept of hybrid processing. Therefore, in the opinion of the authors, such a comprehensive system is necessary. The system-embedded knowledge takes the form of neural networks, decision trees, and facts. The system is presented using the example of a real enterprise. The intelligent expert system is intended for process engineers who have not yet gathered sufficient experience in technological-process planning, or who have just begun their work in a given production enterprise and are not very familiar with its machinery and other means of production.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 2; e136722, 1--8
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent system supporting technological process planning for machining and 3D printing
Autorzy:
Rojek, Izabela
Mikołajewski, Dariusz
Kotlarz, Piotr
Macko, Marek
Kopowski, Jakub
Powiązania:
https://bibliotekanauki.pl/articles/2173593.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
artificial intelligence
AI
intelligent system
technological process
machining
3D printing
sztuczna inteligencja
system inteligentny
proces technologiczny
obróbka skrawaniem
druk 3D
Opis:
The study aimed to develop a system supporting technological process planning for machining and 3D printing. Such a system should function similarly to the way human experts act in their fields of expertise and should be capable of gathering the necessary knowledge, analysing data, and drawing conclusions to solve problems. This could be done by utilising artificial intelligence (AI) methods available within such systems. The study proved the usefulness of AI methods and their significant effectiveness in supporting technological process planning. The purpose of this article is to show an intelligent system that includes knowledge, models, and procedures supporting the company’s employees as part of machining and 3D printing. Few works are combining these two types of processing. Nowadays, however, these two types of processing overlap each other into a common concept of hybrid processing. Therefore, in the opinion of the authors, such a comprehensive system is necessary. The system-embedded knowledge takes the form of neural networks, decision trees, and facts. The system is presented using the example of a real enterprise. The intelligent expert system is intended for process engineers who have not yet gathered sufficient experience in technological-process planning, or who have just begun their work in a given production enterprise and are not very familiar with its machinery and other means of production.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 2; art. no. e136722
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Vector of the Intelligent Office Buildings Formation
Autorzy:
Golub, Kristina
Powiązania:
https://bibliotekanauki.pl/articles/1838060.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
intelligent buildings
building management systems
office buildings
functional
artificial intelligence
secure architecture
inteligentne budynki
systemy zarządzania budynkiem
budynki biurowe
funkcjonalność
sztuczna inteligencja
bezpieczna architektura
Opis:
Every day the architecture expands its borders and opportunities. In meeting the challenges of commercial office buildings designing, which include not only the aesthetic and functional aspects, the efficiency problem of their exploitation becomes more actual, including resource conservation, energy efficiency, environmental friendliness, environmental protection, safety (the fire, terrorism, natural disaster, etc.), comfortable working conditions, reduced operating expenses and economy. The regulatory and legal framework that ensures the development of intelligent buildings (IBs) and the establishment of automatic control systems in office buildings in the USA, Europe and Asia are analysed in the article. Based on the trends of the office buildings development, the main influencing factors of the automated control systems on the formation of intellectual and administrative buildings are identified and based on which a new vector of digital, dynamic and transformative architecture is selected.
Źródło:
Civil and Environmental Engineering Reports; 2020, 30, 4; 102-110
2080-5187
2450-8594
Pojawia się w:
Civil and Environmental Engineering Reports
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 17

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies