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Tytuł:
AI-supported reasoning in physiotherapy
Wnioskowanie w fizjoterapii wspierane sztuczną inteligencją
Autorzy:
Mikołajewski, Dariusz
Mikołajewska, Emilia
Powiązania:
https://bibliotekanauki.pl/articles/41203435.pdf
Data publikacji:
2024
Wydawca:
Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Tematy:
artificial intelligence
machine learning
clinical reasoning
clinical decision support system
interview
musculoskeletal pain disorders
physiotherapy
usability
recommender system
self-management
mHealth
sztuczna inteligencja
uczenie maszynowe
wnioskowanie kliniczne
system wspomagania decyzji klinicznych
wywiad
zaburzenia bólowe układu mięśniowo-szkieletowego
fizjoterapia
użyteczność
system rekomendacji
samokontrola
mZdrowie
Opis:
Artificial intelligence (AI)-based clinical reasoning support systems in physiotherapy, and in particular data-driven (machine learning) systems, can be useful in making and reviewing decisions regarding functional diagnosis and formulating/maintaining/modifying a rehabilitation programme. The aim of this article is to explore the extent to which the opportunities offered by AI-based systems for clinical reasoning in physiotherapy have been exploited and where the potential for their further stimulated development lies.
Systemy wspomagania wnioskowania klinicznego w fizjoterapii oparte na sztucznej inteligencji, a w szczególności na danych (uczenie maszynowe), mogą być przydatne w podejmowaniu i weryfikacji decyzji dotyczących diagnostyki funkcjonalnej ora formułowania/utrzymywania/modyfikowania programu rehabilitacji. Celem niniejszego artykułu jest zbadanie, w jakim stopniu możliwości oferowane przez systemy oparte na sztucznej inteligencji w zakresie rozumowania klinicznego w fizjoterapii zostały wykorzystane i gdzie leży potencjał ich dalszego stymulowanego rozwoju.
Źródło:
Studia i Materiały Informatyki Stosowanej; 2024, 16, 2; 21-27
1689-6300
Pojawia się w:
Studia i Materiały Informatyki Stosowanej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Developing a Decision Support System for Supply Chain Component
Autorzy:
Andry, Johanes Fernandes
Nurprihatin, Filscha
Liliana, Lydia
Powiązania:
https://bibliotekanauki.pl/articles/24200510.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
decision support system
extreme programming
furniture manufacture industry
supply chain
Opis:
Increased competition has led businesses to compete with each other in streamlining supply chain processes, especially in the manufacturing sector. Supply Chain Management (SCM) determines the success of industrial business processes because it regulates product flow regarding integration, performance, and information. However, several problems have emerged in the supply chain process, such as a lack of coordination in the production queue, difficulties in forecasting trending products, and suboptimal production capacity. To address these issues, the role of information technology is crucial for implementing a Decision Support System (DSS). This study aims to develop a DSS to improve the supply chain processes. The research method used is Extreme Programming (XP) with a qualitative approach through a questionnaire. The research process involves collecting data, defining boundaries and problems, and designing, coding, and testing the system. As a final step, evaluation is carried out by distributing surveys to obtain valid satisfaction results. This research produces a DSS that has applicability in marketing, accounting, and production processes. The application of DSS in the furniture manufacturing industry can help manage the movement of resources, optimize strategic networks, and assist decision-making in the supply chain process.
Źródło:
Management and Production Engineering Review; 2023, 14, 2; 124--133
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
System wspomagający wykrywanie treści wizualnych i tekstowych zagrażających bezpieczeństwu dzieci w cyberprzestrzeni
Autorzy:
Niewiadomska-Szynkiewicz, Ewa
Różycka, Martyna
Staciwa, Katarzyna
Nyczka, Katarzyna
Powiązania:
https://bibliotekanauki.pl/articles/20311655.pdf
Data publikacji:
2023-10-31
Wydawca:
Akademia Sztuki Wojennej
Tematy:
cybersecurity
Child Sexual Abuse Material
CSAM
decision support system
artificial intelligence
machine learning
deep learning
Opis:
In recent years, there has been a significant increase in threats to children’s safety in cyberspace. The most serious of these include children’s participation in illegal online activities and the production of sexually explicit content involving them. Therefore, it is of fundamental importance to build awareness of cyber threats among our society’s youngest members and teach them skills for the safe use of products and services assigned to cyberspace. A key action for effectively protecting children in this environment is the early detection and reporting to the relevant authorities of illegal behavior and child abuse content. Teams such as Dyżurnet.pl, whose tasks currently include responding to potentially illegal content reported by cyberspace users, and in the near future, possibly also conducting proactive activities in this area, play an important role here. The experience of Dyżurnet.pl clearly shows that effective detection of such content requires automation of activities and appropriate IT tools. This paper presents a novel network monitoring and decision support system using artificial intelligence methods, including deep learning, to automatically detect potentially harmful material, such as Child Sexual Abuse Material (CSAM), erotic content involving children, pornographic content with a created or processed image of a child and pornography involving adults.
Źródło:
Cybersecurity and Law; 2023, 10, 2; 202-220
2658-1493
Pojawia się w:
Cybersecurity and Law
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision support for choosing a scenario for organizing urban transport system with share of electric vehicles
Autorzy:
Jacyna, Marianna
Żochowska, Renata
Sobota, Aleksander
Wasiak, Mariusz
Powiązania:
https://bibliotekanauki.pl/articles/2203081.pdf
Data publikacji:
2022
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
decision support
electric vehicles
urban transport system
travel demand model
pollutant emissions
urban area
limited accessibility of the city
sustainable urban mobility
wspomaganie decyzji
pojazdy elektryczne
system transportu miejskiego
model popytu na podróż
emisje zanieczyszczeń
obszar miejski
ograniczona dostępność miasta
zrównoważona mobilność miejska
Opis:
This article presents the issue of using decision support tools to select the variant of organization of urban transport system. Two scenarios for the use of electric vehicles were compared, considering not only their emissions and fuel consumption but also the limited accessibility of conventional vehicles to the city. The authors assume that the development of urban traffic organization must go hand in hand with the challenges of planning sustainable urban mobility and reducing harmful exhaust fumes. Furthermore, decision-makers should be equipped with simple decision support tools to generate the best option considering the expectations of transport users. The PTV VISUM tool was used to analyse and visualize two different organization scenarios for a selected city in Poland.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2022, 117; 69--89
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
False Alarms in the Decision Support System of the State Fire Service
Alarmy fałszywe w Systemie Wspomagania Decyzji Państwowej Straży Pożarnej
Autorzy:
Marzec, Marek
Kuskowski, Jacek
Powiązania:
https://bibliotekanauki.pl/articles/35007526.pdf
Data publikacji:
2022
Wydawca:
Centrum Naukowo-Badawcze Ochrony Przeciwpożarowej im. Józefa Tuliszkowskiego
Tematy:
false alarm
Decision Support System of the State Fire Service
principles of recording incidents
State Fire Service
spatial analysis
alarm fałszywy
System Wspomagania Decyzji Państwowej Straży Pożarnej
zasady ewidencjonowania zdarzeń
Państwowa Straż Pożarna
analiza przestrzenna
Opis:
Aim: The aim of the article is to analyse the recording of false alarm cases using the Decision Support System of the State Fire Service (SWD PSP) in terms of certain requirements for a firefighter creating information from an incident. The cases under consideration belong to one of the types of incidents involving fire protection units. Introduction: Since 1993, when PSP began recording incidents using a database system, the scope of information on false alarms has not changed. To this day, in the incident sheet constituting Annex No. 5 to the regulation on the detailed organization of the national rescue and firefighting system, there is no false alarm as a separate type of incident apart from fire and local emergency. A detailed analysis of the data on false alarms was created in connection with the need to prepare a speech by representatives of KG PSP during a scientific conference organized by CNBOP-PIB entitled “False alarms generated by fire alarm systems”. The authors did not limit themselves to the analysis of alarms from detection installations, and the material was expanded to include a spatial analysis of the occurrence of such events. Methodology: The results of the authors’ own analyses performed on the basis of data collected in SWD PSP and software from the geographic information systems (GIS) were used. In their deliberations, the authors also relied on years of experience in creating and revising the rules for recording incidents in SWD PSP and building a new information system for fire protection units. Conclusions: The scope of data collected by PSP on false alarms is insufficient to carry out accurate and thorough analyses, particularly with regard to the causes of occurrence, detailed information about the facility (site of the incident) and the equipment of buildings with fire alarm systems and others that facilitate or hinder the activities of fire protection units. There is an urgent need to expand the minimum scope of data needed to be recorded in PSP databases. The presented analytical results also indicate that there is insufficient distinction between a local emergency and a false alarm. The upcoming revision of the rules for recording events is expected to include provisions that should improve the quality of data. However, a more detailed analysis will be possible only after the implementation of the newly built SWD PSP, including, among other things, an operational module of the object catalogue.
Cel: Celem artykułu jest analiza ewidencjonowania przypadków alarmów fałszywych za pomocą Systemu Wspomagania Decyzji Państwowej Straży Pożarnej (SWD PSP) pod kątem określonych wymagań wobec strażaka tworzącego informację ze zdarzenia. Rozpatrywane przypadki należą do jednego z rodzajów zdarzeń, w których uczestniczą jednostki ochrony przeciwpożarowej. Wprowadzenie: Od 1993 roku, kiedy rozpoczęto w PSP ewidencjonowanie zdarzeń za pomocą systemu bazodanowego, zakres informacji dotyczących alarmów fałszywych nie uległ zmianie. Do dzisiaj w formatce ze zdarzenia stanowiącej załącznik nr 5 do rozporządzenia w sprawie szczegółowej organizacji krajowego systemu ratowniczo-gaśniczego brak jest alarmu fałszywego jako odrębnego rodzaju zdarzenia poza pożarem i miejscowym zagrożeniem. Szczegółowa analiza danych dotyczących alarmów fałszywych powstała w związku z potrzebą przygotowania wystąpienia przedstawicieli KG PSP podczas konferencji naukowej organizowanej przez CNBOP-PIB pt. „Fałszywe alarmy generowane przez systemu sygnalizacji pożarowej”. Autorzy nie ograniczyli się tylko do analizy alarmów z instalacji wykrywania, a materiał został rozszerzony o analizę przestrzenną występowania tego rodzaju zdarzeń. Metodologia: Wykorzystano wyniki własnych analiz autorów wykonanych na podstawie danych zgromadzonych w SWD PSP oraz oprogramowanie z zakresu systemów informacji geograficznej (GIS). W swoich rozważaniach autorzy opierali się również na wieloletnim doświadczeniu przy tworzeniu i nowelizowaniu zasad ewidencjonowania zdarzeń w SWD PSP oraz budowie nowego systemu informatycznego dla jednostek ochrony przeciwpożarowej. Wnioski: Zakres danych gromadzonych przez PSP w zakresie alarmów fałszywych jest niewystarczający do przeprowadzenia dokładnych i wnikliwych analiz, w szczególności w zakresie przyczyn wystąpienia, szczegółowych informacji o obiekcie (miejscu zdarzenia) oraz wyposażeniu budynków w systemy sygnalizacji pożarowej oraz inne ułatwiające lub utrudniające prowadzenie działań jednostkom ochrony przeciwpożarowej. Istnieje pilna potrzeba rozbudowania minimalnego zakresu danych niezbędnych do ewidencjonowania w bazach danych PSP. Przedstawione wyniki analiz wskazują również na niedostateczne rozgraniczenie pomiędzy miejscowym zagrożeniem a alarmem fałszywym. Najbliższa nowelizacja zasad ewidencjonowania zdarzeń ma zawierać zapisy, które powinny poprawić jakość danych. Dokładniejsza analiza będzie jednak możliwa dopiero po wdrożeniu nowobudowanego SWD PSP, uwzględniającego między innymi moduł operacyjnego katalogu obiektów.
Źródło:
Safety and Fire Technology; 2022, 60, 2; 134-145
2657-8808
2658-0810
Pojawia się w:
Safety and Fire Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Supply Chain Disruptions Mitigation Plan Using Six Sigma Method for Sustainable Technology Infrastructure
Autorzy:
Andry, Johanes Fernandes
Nurprihatin, Filscha
Liliana, Lydia
Powiązania:
https://bibliotekanauki.pl/articles/2201157.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
supply chain management
six sigma
FMEA
decision support system
Opis:
Supply Chain Management (SCM) is a very important part of the industrial world, especially in the manufacturing sector. The development of the business world affects the complexity of the supply chain due to the lack of logistics infrastructure, quality of materials and components, and much more. Supply chain disruption risk mapping needs to be done due to high uncertainty, which is overcome by implementing a decision support system. Based on the background of the problem, supply chain disruption mapping uses the help of the Six Sigma method, which consists of 5 stages: Define, Measure, Analyze, Improve, and Control (DMAIC). The measurement of disturbance also uses the Failure Mode and Effect Analysis (FMEA) approach to prioritize risk. Risks that have a high assessment and cause failure need to be prioritized for improvement. This study aims to map supply chain disruptions in the current manufacturing industry based on the barriers, resistances, and causes detected for making a decision support system prototype. By implementing a decision support system in the supply chain process, it is hoped that the manufacturing industry can minimize potential losses from existing risks.
Źródło:
Management and Production Engineering Review; 2022, 13, 4; 88--97
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Concept and implementation of the Polish innovative agro-hydro-meteorological monitoring (AgHMM) in INOMEL Project
Autorzy:
Kanecka-Geszke, Ewa
Bąk, Bogdan
Bolewski, Tymoteusz
Kaca, Edmund
Powiązania:
https://bibliotekanauki.pl/articles/2048548.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
adaptation
agro-hydro-meteorological monitoring system
climate change
controlled drainage
decision support system
short-term forecast
subirrigation
water management
water resources
Opis:
The paper presents the concept and deployment of the agro-hydro-meteorological monitoring system (abbrev. AgHMM) created for the purposes of operational planning of regulated drainage and irrigation on the scale of a drainage/irrigation system (INOMEL project). Monitoring system involved regular daily (weekly readings) measurements of agrometeorological and hydrological parameters in water courses at melioration object during vegetation seasons. The measurement results enable an assessment of the meteorological conditions, moisture changes in the 0-60 cm soil profile, fluctuations of groundwater levels at quarters and testing points, also water levels in ditches and at dam structures, and water flow in water courses. These data were supplemended by 7-day meteorological forecast parameter predictions, served as input data for a model of operational planning of drainage and subirrigation at the six melioration systems in Poland. In addition, it was carried out irregular remote sensing observations of plant condition, water consumption by plants and soil moisture levels using imagery taken by unmanned aerial vehicles and Sentinel’s satellites. All the collected data was used for support operational activities aimed at maintaining optimal soil moisture for plant growth and should to provide farmers with high and stable yields. An example of the practical operations using the AgHMM system in 2019 is shown on the basis of the subirrigation object at permanent grasslands located in central Poland called “Czarny Rów B1”.
Źródło:
Journal of Water and Land Development; 2021, 51; 256-264
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Conceptual Model Creation for Automated Self-training System of Functional Control and Detection of Railway Transport
Autorzy:
Oralbekova, Ayaulym
Amanova, Marzhana
Rustambekova, Kamila
Kaskatayev, Zhanat
Kisselyova, Olga
Nurgaliyeva, Roza
Powiązania:
https://bibliotekanauki.pl/articles/2055269.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
railway transport
system of components and assemblies
decision support systems
intelligent technology
automatic detection systems
object used for training
Opis:
In order to improve the operational reliability and service life of the main systems, components and assemblies (SCA) of railway transport (RT), it is necessary to timely detect (diagnose) their defects, including the use of the methods of intellectual analysis and data processing. One of the promising approaches to the synthesis of the SCA functional control system is the use of intelligent technology (INTECH) methods. This technology is based on maximizing the information capacity of an automated decision support system for detecting faults during its training.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 4; 603--608
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design science research approach in studying e-negotiations: models, systems, experiments
Autorzy:
Wu, ShiKui
Powiązania:
https://bibliotekanauki.pl/articles/2183435.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
e-negotiations
design science research
negotiation models
negotiation systems
negotiation experiments
multiattribute auction
decision support
mechanism design
system design
Opis:
Inspired and led by Dr. Gregory E. Kersten, a number of research projects have been conducted at the InterNeg Research Centre. This paper intends to acknowledge Dr. Kersten’s unique role as a pioneer in e-negotiation research, particularly in exploring and integrating various elements in e-negotiations. From the design science research perspective, this paper reviews a series of relevant research works in e-negotiation modeling, system design and development, and experimental studies. This provides an integrative view of interconnected elements in this field, and also helps framing the various studies into different aspects and stages of e-negotiation research. The paper then suggests several guidelines and directions for future design science research in e-negotiations.
Źródło:
Control and Cybernetics; 2021, 50, 1; 33--50
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Econometric modelling of compound cyclicality of using telecommunication services
Autorzy:
Kaczmarczyk, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/1195955.pdf
Data publikacji:
2021
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
cyclical components
Decision Support System
Prediction System
short-term forecasting
Opis:
The aim of this study was to test the effectiveness of an econometric model with dichotomous (binary) explanatory variables in the approximation and prediction of different kinds of cyclicality (annual, monthly, weekly, and daily) of demand for telephone services. The analyses were conducted with the use of data provided by the selected telecommunication network operator. The data included hourly combined demand for specified telephone services (in seconds) of outgoing calls within the framework of the particular subscriber group (business or individual), the given day, the particular month, and the specific category of connection. All kinds of the cyclicality were confirmed in models with 70 explanatory variables (i.e. in models without holidays). The inclusion of the variables set denoting specific holidays improved goodness of the models fit to the data. The econometric modelling of cyclical components and the forecasting of it with the use of dichotomous variables was effective.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2021, 25, 2; 27-45
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Information and Decision System Supporting the Production of ADI Cast Iron Products
Autorzy:
Opaliński, Andrzej
Wilk-Kołodziejczyk, Dorota
Powiązania:
https://bibliotekanauki.pl/articles/2049745.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
decision support
information system
ADI casting
austempered ductile cast iron
ADI
Opis:
The presented article concerns the issue of supporting the ADI cast iron product manufacturing process and presents an IT system dedicated mainly to designers and technologists. Designers can be supported at the stage of selecting types of materials and technologies (including ADI cast iron) to produce products with required properties. Technologists can obtain support in determining the parameters (temperature and chemical) of the ADI cast iron manufacturing process in order to obtain products with specific properties. The system also contains an information resources (standards, documentation, examples) concerning ADI cast iron and products made of it. Examples of use by individual system users are presented as a case study.
Źródło:
Archives of Metallurgy and Materials; 2021, 66, 2; 651-657
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Artificial Neural Networks in the Analysis of Mechanisms Destroying Forging Tools
Autorzy:
Hawryluk, M.
Mrzygłód, B.
Gronostajski, Z.
Głowacki, M.
Olejarczyk-Wożeńska, I.
Powiązania:
https://bibliotekanauki.pl/articles/353528.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
decision support system
durability of forging tools
artificial neural network
loss of material
wear
Opis:
This article discusses the results of studies using the developed artificial neural networks in the analysis of the occurrence of the four main mechanisms destroying the selected forging tools subjected to five different surface treatment variants (nitrided layer, pad welded layer and three hybrid layers, i.e. AlCrTiSiN, Cr/CrN and Cr/AlCrTiN). Knowledge of the forging tool durability, needed in the process of artificial neural network training, was included in the set of training data (about 800 records) derived from long-term comprehensive research carried out under industrial conditions. Based on this set, neural networks with different architectures were developed and the results concerning the intensity of the occurrence of thermal-mechanical fatigue, abrasive wear, mechanical fatigue and plastic deformation were generated for each type of the applied treatment relative to the number of forgings, pressure, friction path and temperature.
Źródło:
Archives of Metallurgy and Materials; 2020, 65, 1; 193-200
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Geodata influencing land market and sustainable development
Autorzy:
Gaudesius, Rimvydas
Powiązania:
https://bibliotekanauki.pl/articles/145557.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
gospodarowanie gruntami
działka
system wspomagania decyzji
land management
sustainable development
land plot
decision support system
criteria
Opis:
The suitability of a land plot in a real estate market could be identified as a good investment because the land plot is deemed as popular. This activity is important for economic growth, who is one of the sustainable development goals. Mostly, all research in this field is focused on sustainability as well as the opinions of professionals. However, this field should be explored from another side which is based on real geodata. Criteria and its weight are very important in decision support systems. The correct criteria can help in selection of the best real estate object for an investment, but it is not only useful but also and a challenging task that has not yet been solved. The methods of research are data graphical analysis, correlation, decision supporting systems, etc. The research aims at determining the significance of the connections and using them as the criteria in the selected decision supporting method. In addition, it will be determined which decision supporting method defines the most suitable object for investment. These new criteria are proposed for operation in the land use models. Furthermore, it has been identified as one criterion, which is significant in the urban and agrarian territories. Also it turned out, that the land plot is the most active when it is as far from a densely built-up residential territory as possible and as close to a school, and when the land plot is as large as possible.
Źródło:
Geodesy and Cartography; 2020, 69, 1; 3-17
2080-6736
2300-2581
Pojawia się w:
Geodesy and Cartography
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mathematical methods of signal analysis applied in medical diagnostic
Autorzy:
Ciecierski, Konrad A.
Powiązania:
https://bibliotekanauki.pl/articles/331189.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
decision support system
signal filtering
data fusion
temporal analysis
system wspomagania decyzji
filtrowanie sygnału
fuzja danych
Opis:
Digital signal processing, such as filtering, information extraction, and fusion of various results, is currently an integral part of advanced medical therapies. It is especially important in neurosurgery during deep-brain stimulation procedures. In such procedures, the surgical target is accessed using special electrodes while not being directly visible. This requires very precise identification of brain structures in 3D space throughout the surgery. In the case of deep-brain stimulation surgery for Parkinson’s disease (PD), the target area—the subthalamic nucleus (STN)—is located deep within the brain. It is also very small (just a few millimetres across), which makes this procedure even more difficult. For this reason, various signals are acquired, filtered, and finally fused, to provide the neurosurgeon with the exact location of the target. These signals come from preoperative medical imaging (such as MRI and CT), and from recordings of brain activity carried out during surgery using special brain-implanted electrodes. Using the method described in this paper, it is possible to construct a decision-support system that, during surgery, analyses signals recorded within the patient’s brain and classifies them as recorded within the STN or not. The constructed classifier discriminates signals with a sensitivity of 0.97 and a specificity of 0.96. The described algorithm is currently used for deep-brain stimulation surgeries among PD patients.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 449-462
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization Model of Adaptive Decision Taking Support System for Distributed Systems Cyber Security Facilities Placement
Autorzy:
Kalizhanova, Aliya
Akhmetov, Sultan
Lakhno, Valery
Wojcik, Waldemar
Nabiyeva, Gulnaz
Powiązania:
https://bibliotekanauki.pl/articles/226504.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
distributed computational network
cyber security
optimization
protection facilities placement
decision-making support system
Opis:
An article herein presents an optimization model, designated for computational core of decision-taking support system (DTSS). DTSS is necessary for system analysis and search of optimal versions for cyber security facilities placement and information protection of an enterprise or organization distributed computational network (DCN). DTSS and a model allow automize the analysis of information protection and cyber security systems in different versions. It is possible to consider, how separate elements, influence at DCN protection factors and their combinations. Offered model, in distinction from existing, has allowed implementing both the principles of information protection equivalency to a concrete threat and a system complex approach to forming a highly effective protection system for DCN. Hereby we have presented the outcomes of computational experiments on selecting the rational program algorithm of implementing the developed optimization model. It has been offered to use genetic algorithm modification (GAM). Based on the offered model, there has been implemented the module for adaptive DTSS. DTSS module might be applied upon designing protected DCN, based on preset architecture and available sets of information protection and cyber security systems in the network.
Źródło:
International Journal of Electronics and Telecommunications; 2020, 66, 3; 493-498
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 184

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