Temat: fuzzy guidance - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Evaluation of user interface performing a DVZ-fuzzy logic pilot for powered wheelchair
Autorzy:: Amouri, Lobna
Jallouli, Mohamed
Novales, Cyril
Poisson, Gérard
Derbel, Nabil
Powiązania:: https://bibliotekanauki.pl/articles/384833.pdf
Data publikacji:: 2019
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: assistive control
user interface
DVZ Obstacle avoidance
fuzzy guidance
improving mobility
disable people
Opis:: This paper presents the preliminary tests of an adapted user interface that performs an hybrid fuzzy-Deformable Virtual Zone(DVZ) pilot. The proposed concept uses a safely guidance algorithm for the powered wheelchair user and a laser range sensor to avoid collision. An adapted user interface is developed so that the accessibility and the mobility of disable or aged people especially those suffering from low cognitive abilities will be enhanced. Trials with the proposed algorithm detected obstacles and avoid them in 80% of trials with different objects and generated safe paths for the interface user.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 3; 27-33
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Novel nature-inspired autonomous guidance of aerial robots formation regarding honey bee artificial algorithm and fuzzy logic
Autorzy:: Shafieenejad, Iman
Powiązania:: https://bibliotekanauki.pl/articles/2055040.pdf
Data publikacji:: 2020
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:: nature-inspired guidance
honey bee swarm
optimal trajectory
aerial robot
fuzzy logic
Opis:: In this article, a novel nature-inspired autonomous guidance is investigated regarding the honey bee motion algorithm for aerial robots and fuzzy logic. Combination of the bee al- gorithm and fuzzy logic is proposed to achieve an on-line guidance for methodology of this research. The main idea of this work belongs to a novel analogy between honey bees and aerial robots motions. Moreover, information links between the aerial robots are demon- strated to construct a formation of vehicles by updating motions based on fuzzy decision making. Three dimensional simulations for the aerial robots are considered to show the ef- ficient performance of autonomous guidance. The simulation results show precise ability of the proposed method for aerospace and robotics engineers based on a nature phenomenon to present an innovative guidance method.
Źródło:: Journal of Theoretical and Applied Mechanics; 2020, 58, 3; 791--798
1429-2955
Pojawia się w:: Journal of Theoretical and Applied Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Application of fuzzy logic in a secure beacon-based guidance system for public transportation
Autorzy:: Molina-Gil, Jezabel
Caballero-Gil, Pino
Quesada-Arencibia, Alexis
de Blasio, Gabriele Salvatore
Powiązania:: https://bibliotekanauki.pl/articles/2172113.pdf
Data publikacji:: 2022
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: public transport
guidance system
location system
Bluetooth Low Energy
fuzzy logic
transport publiczny
system naprowadzania
system lokalizacji
logika rozmyta
Opis:: Promoting the use of public transport is increasingly urgent in our society, both to reduce traffic congestion, air pollution and stress levels, and to ensure the high level of mobility demanded by citizens. The lack of continuous on-trip assistance for public transport users discourages many travellers. Thus, the main objective of this work is to design a personal digital travel companion for outdoor location and event detection based on Bluetooth Low Energy, which can be used for intelligent transport technology. After analysing the functional requirements, the proposal is implemented as a mobile application for beacon-based event detection. The system includes an algorithm aided by fuzzy logic to determine the action to be carried out by the user at all times, being able to distinguish between different possible events when more than one beacon is detected. To defend the scheme against possible attacks based on beacon forgery or user tracking, the proposal includes different forms of authentication for data sent from beacons and data sent from the mobile application. The results obtained in simulations show that the proposed system is a viable guidance solution for public transport, including energy saving as one of its main advantages.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2022, 32, 3; 371--387
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Knowledge-based clustering as a conceptual and algorithmic environment of biomedical data analysis
Autorzy:: Pedrycz, W.
Gacek, A.
Powiązania:: https://bibliotekanauki.pl/articles/333706.pdf
Data publikacji:: 2004
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wiedza i dane
grupowanie rozmyte
bliskość
włączenie
nadzór częściowy
niepewność
entropia
knowledge and data
fuzzy clustering
guidance mechanisms
proximity
inclusion
partial supervision
uncertainty
entropy
Opis:: While a genuine abundance of biomedical data available nowadays becomes a genuine blessing, it also posses a lot of challenges. The two fundamental and commonly occurring directions in data analysis deal with its supervised or unsupervised pursuits. Our conjecture is that in the area of biomedical data processing and understanding where we encounter a genuine diversity of patterns, problem descriptions and design objectives, this type of dichotomy is neither ideal nor the most productive. In particular, the limitations of such taxonomy become profoundly evident in the context of unsupervised learning. Clustering (being usually regarded as a synonym of unsupervised data analysis) is aimed at determining a structure in a data set by optimizing a given partition criterion. In this sense, a structure emerges (becomes formed) without a direct intervention of the user. While the underlying concept looks appealing, there are numerous sources of domain knowledge that could be effectively incorporated into clustering mechanisms and subsequently help navigate throughout large data spaces. In unsupervised learning, this unified treatment of data and domain knowledge leads to the general concept of what could be coined as knowledge-based clustering. In this study, we discuss the underlying principles of this paradigm and present its various methodological and algorithmic facets. In particular, we elaborate on the main issues of incorporating domain knowledge into the clustering environment such as (a) partial labelling, (b) referential labelling (including proximity and entropy constraints), (c) usage of conditional (navigational) variables, (d) exploitation of external structure. Presented are also concepts of stepwise clustering in which the structure of data is revealed via a series of refinements of existing domain granular information.
Źródło:: Journal of Medical Informatics & Technologies; 2004, 7; KB13-22
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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