Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Mohammed, Ouali"'
Autor:
Sofiane Bouhedma, Jawad Bin Taufik, Fred Lange, Mohammed Ouali, Hermann Seitz, Dennis Hohlfeld
Publikováno v:
Sensors, Vol 24, Iss 4, p 1338 (2024)
This paper delves into the application of vibration-based energy harvesting to power environmental sensor nodes, a critical component of modern data collection systems. These sensor nodes play a crucial role in structural health monitoring, providing
Externí odkaz:
https://doaj.org/article/b38b7d5cf8fc4d888d5650417c28c6d2
Autor:
Rabah, Magraoui, Mohammed, Ouali
Publikováno v:
Environmental & Social Management Journal / Revista de Gestão Social e Ambiental; 2024, Vol. 18 Issue 10, p1-18, 18p
Autor:
Sofiane Bouhedma, Siyang Hu, Arwed Schütz, Fred Lange, Tamara Bechtold, Mohammed Ouali, Dennis Hohlfeld
Publikováno v:
Micromachines, Vol 13, Iss 7, p 1078 (2022)
We present a multiresonant vibration energy harvester designed for ultra-low-power applications in industrial environments together with an optimized harvester design. The proposed device features dual-frequency operation, enabling the harvesting of
Externí odkaz:
https://doaj.org/article/651b29966bb142388372bcbf876939a2
Autor:
Nadir, Bendali1,2 (AUTHOR) n.bendali@univ-dbkm.dz, Mohammed, Ouali2 (AUTHOR), Minh-Tuan, Nguyen3 (AUTHOR), Abderrezak, Said1 (AUTHOR)
Publikováno v:
International Journal of Advanced Manufacturing Technology. May2022, Vol. 120 Issue 1/2, p297-312. 16p. 10 Charts, 7 Graphs.
Publikováno v:
Applied Mechanics and Materials. 909:99-119
Compared to CNC machines, robotic milling has performance limitations such as accuracy and quality. The main source of the robot’s inaccuracy during machining is the flexibility of its parts (body or joints). This error disturbs the movement of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a86b588e9660b30a764f5bb2c8b65834
https://doi.org/10.4028/p-3zw2m3
https://doi.org/10.4028/p-3zw2m3
Publikováno v:
Applied Mechanics and Materials. 906:41-58
Offline programming is a critical step in the implementation of various robotic tasks such as pick-and-place, welding, cutting, and milling. This paper describes a simulation study that analyses the accuracy of the robot's path tracking, during tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b613b17d1e765ca74fecb766c7b6671
https://doi.org/10.4028/p-70fh65
https://doi.org/10.4028/p-70fh65
Publikováno v:
Journal of Computing and Information Technology, Vol 24, Iss 4, Pp 369-382 (2016)
Support vector machine (SVM) is a popular classification technique with many diverse applications. Parameter determination and feature selection significantly influences the classification accuracy rate and the SVM model quality. This paper proposes
Externí odkaz:
https://doaj.org/article/6d5c9a80891c43a98ad73d9bdc74d5a0
Autor:
Seyyid Ahmed Medjahed, Mohammed Ouali
Publikováno v:
Modelling and Implementation of Complex Systems ISBN: 9783030054809
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::687634fc83041cd1e92667f3e05a9729
https://doi.org/10.1007/978-3-030-05481-6_26
https://doi.org/10.1007/978-3-030-05481-6_26
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 28:183-211
The ad hoc nature of the clustering methods makes simulated data paramount in assessing the performance of clustering methods. Real datasets could be used in the evaluation of clustering methods with the major drawback of missing the assessment of ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe4c1b02bb1be72702d44ff1e6d5293a
https://doi.org/10.1142/s0218488520500087
https://doi.org/10.1142/s0218488520500087
Publikováno v:
Applied Soft Computing. 136:110098
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f2eda85eb65a1f743dc6243485f242e
https://doi.org/10.1016/j.asoc.2023.110098
https://doi.org/10.1016/j.asoc.2023.110098