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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Robotics and Automation (IJRA) Bulletin of Electrical Engineering and Informatics Journal of Education and Learning (EduLearn)
Tahiri, Ahmed
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Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Library & Information Science Social Sciences Other

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
An improved transient performance boost converter using pseudo-current hysteresis control Boutaghlaline, Anas; El Khadiri, Karim; Tahiri, Ahmed
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5835

Abstract

This paper introduces an enhanced low transient voltage and fast transient response boost converter. It uses a hysteresis-controlled circuit fed by a voltage signal from a rail-to-rail current sensor, resulting in improved efficiency, and transient response. The converter is designed using Taiwan semiconductor manufacturing company (TSMC) 0.18 µm CMOS 1P6M technology, delivers an output voltage of 1.8 V while operating with an input voltage range of 0.5 V to 1 V and supports an output load current range of 10 to 100 mA. The key contributions of this paper are: i) introducing a new boost converter architecture employing pseudo-current hysteresis-controlled (PCHC) techniques, ii) incorporating voltage and current loops into the proposed architecture, and iii) demonstrating superior transient performance. Experimental measurements reveal a peak power efficiency of 98.6% at 10 mA and transient times of 15.4 µs and 11.8 µs for a step load change from 10 to 100 mA and back to 10 mA, respectively, with transient voltages of 51 mV. The presented boost converter outperforms in terms of performance, compared to previous works using the figure of merit (FOM) formula.
Exploiting channel state information of WiFi signal for human activity detection: an experimental study Boudlal, Hicham; Serrhini, Mohammed; Tahiri, Ahmed
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.6344

Abstract

Ubiquitous computing aims to seamlessly integrate computing into our daily lives, and requires reliable information on human activities and state for various applications. In this paper, we propose a device-free human activity recognition system that leverages the rich information behind WiFi signals to detect human activities in indoor environments, including walking, sitting, and standing. The key idea of our system is to use the dynamic features of activities, which we carefully examine and analyze through the characteristics of channel state information. We evaluate the impact of location changes on WiFi signal distribution for different activities and design an activity detection system that employs signal processing techniques to extract discriminative features from wireless signals in the frequency and temporal domains. We implement our system on a single off-the-shelf WiFi device connecting to a commercial wireless access point and evaluate it in laboratory and conference room environments. Our experiments demonstrate the feasibility of using WiFi signals for device-free human activity recognition, which could provide a practical and non-intrusive solution for indoor monitoring and ubiquitous computing applications.
Co-Authors Achour, Mohamed Boudlal, Hicham Boutaghlaline, Anas Echantoufi, Noureddine El khadiri, Karim El Mouzouade, Said Hamzi, Amine Khouna, Jalal Laababid, Younes Menssouri, Aicha Qjidaa, Hassan Rahali, Ahmed Serrhini, Mohammed