Isbn: 9783838325309 - human localisation in built environments: intelligent systems based rf (7 risultati)

Paperback. Condizione: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.

Taschenbuch. Condizione: Neu. Human Localisation in Built Environments | Intelligent systems based RF | Adel Al-Jumaily (u. a.) | Taschenbuch | 92 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838325309 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

Paperback. Condizione: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The human location estimation in indoor enjoinment with good accuracy is required in many health care, surviving, and monitoring activities. The available methodologies are not providing good estimation accuracy or based on making big change in the environment infrastructure. This book, describes the methodologies used for human localisation in an indoor environment based on the strength of radio frequency signal. The book contribution is development of three techniques for representing the signal strength map and extracting location of a user from these maps. A strategy based on a particle filter, fuzzy logic, and neural networks for localisation are evaluated. A series of experiments conducted in a real-life environment and the viability of using radio frequency signal strength for localisation has been investigated and future research directions also highlight it. The methods will help shed some light on this new and exciting localisation system, and should be especially useful to professionals in Communications and intelligent systems fields, or anyone else who may be considering utilizing real time built environment human location applications. 92 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Jumaily AdelDr. Adel Al-Jumaily, B.SC, M.SC. PhD: is computer systems senior lecturer in University of Technology Sydney, Australia . His research area is autonomous systems, bio-mechatronics, bio-signal processing, and health car.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The human location estimation in indoor enjoinment with good accuracy is required in many health care, surviving, and monitoring activities. The available methodologies are not providing good estimation accuracy or based on making big change in the environment infrastructure. This book, describes the methodologies used for human localisation in an indoor environment based on the strength of radio frequency signal. The book contribution is development of three techniques for representing the signal strength map and extracting location of a user from these maps. A strategy based on a particle filter, fuzzy logic, and neural networks for localisation are evaluated. A series of experiments conducted in a real-life environment and the viability of using radio frequency signal strength for localisation has been investigated and future research directions also highlight it. The methods will help shed some light on this new and exciting localisation system, and should be especially useful to professionals in Communications and intelligent systems fields, or anyone else who may be considering utilizing real time built environment human location applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The human location estimation in indoor enjoinment with good accuracy is required in many health care, surviving, and monitoring activities. The available methodologies are not providing good estimation accuracy or based on making big change in the environment infrastructure. This book, describes the methodologies used for human localisation in an indoor environment based on the strength of radio frequency signal. The book contribution is development of three techniques for representing the signal strength map and extracting location of a user from these maps. A strategy based on a particle filter, fuzzy logic, and neural networks for localisation are evaluated. A series of experiments conducted in a real-life environment and the viability of using radio frequency signal strength for localisation has been investigated and future research directions also highlight it. The methods will help shed some light on this new and exciting localisation system, and should be especially useful to professionals in Communications and intelligent systems fields, or anyone else who may be considering utilizing real time built environment human location applications.…