Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Felix Sawo"'
Autor:
Felix Sawo, Eckhard Kempkens
Publikováno v:
MFI
At present, bridge maintenance management typically consists of regular visual building inspections. Structural damage frequently remains undiscovered until it becomes clearly visible, a situation which makes little economic sense. However, it is oft
Publikováno v:
IFAC Proceedings Volumes. 41:9014-9020
This paper addresses the problem of decentralized state estimation of distributed physical phenomena observed by a sensor network. The centralized approaches are not scalable for large sensor networks, because all information has to be transmitted to
Publikováno v:
tm - Technisches Messen. 74:147-156
Dieser Beitrag befasst sich mit modellbasierten Methoden zur Vermessung verteilter physikalischer Phänomene. Diese Methoden zeichnen sich durch eine systematische Behandlung von Unsicherheiten aus, sodass neben der Rekonstruktion der vollständigen
Publikováno v:
tm-Technisches Messen, 77 (10), 551-557
Summary Space-time continuous phenomena suchas pollution loads or temperature distributions often originatefrom unknown and possibly movable sources. In many real-world scenarios, however, information about the location ofsuch sources canonlybe gaine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da014f7bc270fa7f7128b30dadeb7255
Publikováno v:
FUSION
Localizing sources of physical quantities is often only possible in an indirect manner by observing the induced continuous phenomena, such as pollution loads of air or water. By employing model-based reconstruction methods, the task of localizing mov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::252e8f6d4806c49fa7f609aede7de919
Publikováno v:
Series on Advances in Mathematics for Applied Sciences ISBN: 9789812839510
Advanced Mathematical and Computational Tools in Metrology and Testing: AMCTM VIII
Advanced Mathematical and Computational Tools in Metrology and Testing: AMCTM VIII
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a6f2fef5342a1d1f45c00f078e967e3
https://doi.org/10.1142/9789812839527_0044
https://doi.org/10.1142/9789812839527_0044
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783540898580
This paper is devoted to methods for localizing individual sensor nodes connected in a network. The novelty of the proposed method is the model-based approach (i.e., rigorous exploitation of physical background knowledge) using local observations of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::413befddeaa6ee90ee40fac67c06462c
https://doi.org/10.1007/978-3-540-89859-7_26
https://doi.org/10.1007/978-3-540-89859-7_26
Publikováno v:
Informatics in Control Automation and Robotics ISBN: 9783540791416
This article addresses the model-based reconstruction and prediction of distributed phenomena characterized by partial differential equations, which are monitored by sensor networks. The novelty of the proposed reconstruction method is the systematic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0b62983b65dc8e2a3d1d3ce5811bb6c
https://doi.org/10.1007/978-3-540-79142-3_24
https://doi.org/10.1007/978-3-540-79142-3_24
Publikováno v:
MFI
This paper addresses the model-based localization of sensor networks based on local observations of a distributed phenomenon. For the localization process, we propose the rigorous exploitation of strong mathematical models of distributed phenomena. B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0b8fee47ea7d841893ff88af17d53ae
https://publikationen.bibliothek.kit.edu/1000034852/2581602
https://publikationen.bibliothek.kit.edu/1000034852/2581602
Parameter identification and reconstruction for distributed phenomena based on hybrid density filter
Publikováno v:
FUSION
This paper addresses the problem of model-based reconstruction and parameter identification of distributed phenomena characterized by partial differential equations. The novelty of the proposed method is the systematic approach and the integrated tre