Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Tawfik Najeh"'
Publikováno v:
International Journal of Wireless Information Networks. 25:88-97
Noting the vital importance of localization using wireless sensor networks in real-world applications, many limitations of existing techniques urge us to seek more advanced localization algorithms. This paper presents a new range-free algorithm which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7807d98534dc935a414d2201269294
https://doi.org/10.1007/s10776-017-0375-y
https://doi.org/10.1007/s10776-017-0375-y
Publikováno v:
ISA Transactions. 70:93-103
The ARX-Laguerre model is a very important reduced complexity representation of linear system. However a significant reduction of this model is subject to an optimal choice of both Laguerre poles. Therefore we propose in this paper two new methods to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05001c8d8f8e0e9c3eb1406ae4750470
https://doi.org/10.1016/j.isatra.2017.05.015
https://doi.org/10.1016/j.isatra.2017.05.015
Multi-variable process data compression and defect isolation using wavelet PCA and genetic algorithm
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 91:869-878
This paper characterizes an approach to data compression and defect isolation for the multi-variable process by introducing the wavelet principal component analysis (PCA) and the genetic algorithms. In the defect analysis process, data compression is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77373d7b76383e6928e6a7115957a74e
https://doi.org/10.1007/s00170-016-9774-y
https://doi.org/10.1007/s00170-016-9774-y
Publikováno v:
International Journal of Advanced Manufacturing Technology
International Journal of Advanced Manufacturing Technology, Springer Verlag, 2017, 90 (5), pp.1317-1336. ⟨10.1007/s00170-016-9414-6⟩
International Journal of Advanced Manufacturing Technology, Springer Verlag, 2017, 90 (5), pp.1317-1336. ⟨10.1007/s00170-016-9414-6⟩
International audience; This work is dedicated to the synthesis of a new fault detection and identification scheme for the actuator and/or sensor faults modeled as unknown inputs of the system. The novelty of this scheme consists in the synthesis of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14d6f8b286870a59e8659038185823ac
https://doi.org/10.1007/s00170-016-9414-6
https://doi.org/10.1007/s00170-016-9414-6
Publikováno v:
Arabian Journal for Science and Engineering. 40:2123-2132
While defect localization is vital in real-world systems, some limitations inherent to the existing techniques urge us to seek more advanced methods. This paper presents a new approach which takes advantages of genetic algorithms for optimization of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9a8a6e02c229cf086367dd9bc7cd3ea
https://doi.org/10.1007/s13369-015-1714-x
https://doi.org/10.1007/s13369-015-1714-x
Autor:
Lotfi Nabli, Tawfik Najeh
Publikováno v:
International Journal of Research in Engineering and Technology. :61-66
Several applications of nonlinear principal compone nt analysis (NPCA) have appeared recently in proces s monitoring and fault diagnosis. In this paper a new approach is pr oposed for fault detection based on principal curve s and genetic algorithms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47c4065ceea1a905905b6a8554e0b188
https://doi.org/10.15623/ijret.2013.0212011
https://doi.org/10.15623/ijret.2013.0212011
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783319235967
This paper suggests a new approach for fault detection using Genetic Algorithms (GAs). GAs are used to find the principal curve that summarize the data. The principal curve is a generation of linear Principal Component Analysis (PCA). Introduced by H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::479cfc8db47948f71c3aa1ff2fb95333
https://doi.org/10.1007/978-3-319-23597-4_9
https://doi.org/10.1007/978-3-319-23597-4_9
The localization information is crucial for the operation of WSN. There are principally two types of localization algorithms. The Range-based localization algorithm has strict requirements on hardware, thus is expensive to be implemented in practice.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e32dc27fac5343f5ba12cdd854d7868
Information of nodes’ locations is an important criterion for lots of applications in Wireless Sensor Networks. In the hop-based range-free localization methods, anchors transmit the localization messages counting a hop count value to the whole net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a8ef1cbc6a6f0ea87f961e2c29c086b
Publikováno v:
International Journal on Communications Antenna and Propagation (IRECAP). 6:96
The current sensor node localization algorithm consists of two types: range-based and range-free. Received Signal Strength (RSS) (range-based) and DV-Hop (range-free), are two different schemes that each have environment or hop dependency problems an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::177b77dc368ed06251d40474779f4c8f
https://doi.org/10.15866/irecap.v6i2.8448
https://doi.org/10.15866/irecap.v6i2.8448