Wszystkie pola: artificial intelligent - Katalog OPAC zbiorów

Skocz do pozycji: 1.

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

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Skocz do pozycji: 2.

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

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Skocz do pozycji: 3.

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

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Skocz do pozycji: 4.

Tytuł:: Intelligent energy management system of a smart microgrid using multiagent systems
Autorzy:: Azeroual, Mohamed
Lamhamdi, Tijani
El Moussaoui, Hassan
El Markhi, Hassane
Powiązania:: https://bibliotekanauki.pl/articles/140667.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: artificial intelligence
fault detection
microgrid
multi-agent system (MAS)
power distribution
smart grid
Opis:: The smart grid concept is predicated upon the pervasive use of advanced digital communication, information techniques, and artificial intelligence for the current power system, to be more characteristics of the real-time monitoring and controlling of the supply/demand. Microgrids are modern types of power systems used for distributed energy resource (DER) integration. However, the microgrid energy management, the control, and protection of microgrid components (energy sources, loads, and local storage units) is an important challenge. In this paper, the distributed energy management algorithm and control strategy of a smart microgrid is proposed using an intelligent multi-agent system (MAS) approach to achieve multiple objectives in real-time. The MAS proposed is developed with co-simulation tools, which the microgrid model, simulated using MATLAB/Simulink, and the MAS algorithm implemented in JADE through a middleware MACSimJX. The main study is to develop a new approach, able to communicate a multi-task environment such as MAS inside the S-function block of Simulink, to achieve the optimal energy management objectives.
Źródło:: Archives of Electrical Engineering; 2020, 69, 1; 23-38
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Dostawca treści:: Biblioteka Nauki

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