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Featured researches published by Aicha Sekhari.


International Journal of Distributed Sensor Networks | 2018

Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks

Ali Hassan Sodhro; Li Chen; Aicha Sekhari; Yacine Ouzrout; Wanqing Wu

This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynamic nature of wireless on-body channel. The former one focuses on constant (fixed) transmission power level and variable data rate (“severe” conditions), for example, medical monitoring of the emergency patients. The latter considers variable transmission power level and constant (fixed) data rate (“less severe” conditions), for example, electrocardiography measurement for patients in wireless body sensor networks. Besides, energy efficiency comparison analysis of battery-driven or video transmission rate control algorithm and transmission power control–driven or power control algorithm is presented. Finally, proposed algorithms are analyzed and categorized as energy-efficient and battery-friendly for medical applications in wireless body sensor networks.


Concurrent Engineering | 2011

A Fuzzy Knowledge Fusion Framework for Terms Conflict Resolution in Concurrent Engineering

Xiao Hu; Jie Hu; Aicha Sekhari; Yinghong Peng; Zhaomin Cao

Due to the increased complexity of engineering products and design process, concurrent engineering practices still face enormous challenges. Design teams often provide the knowledge involving multiple disciplines in natural language at conceptual design stage. As a result, conflicts often arise during communications. To increase the efficiency of design process, it is necessary to avoid interpretation conflicts. This article presents a system framework to resolve terminology conflicts. First, a semantic hierarchical structure of knowledge is proposed. Knowledge is decomposed into terms and predicates. Second, a fuzzy knowledge fusion framework is proposed to identify and resolve terminology conflicts. The conflict is resolved by unifying the usage of terminologies. By using the fuzzy linguistic computational model based on extension principle to measure the similarity of terms, the terminology conflict problem is converted into a linguistic decision-making problem. Finally, the methodology is applied to a piece of automotive electronics knowledge. The best term to describe electronic control unit is identified.


Software, Knowledge, Information Management and Applications (SKIMA), 2014 8th International Conference on | 2014

The methodology for collaborative development of intelligent wearable Meta-Products

Mohammed Taha Elhariri Essamlali; Aicha Sekhari; Abdelaziz Bouras; Salinee Santiteerakul; Yacine Ouzrout

Meta-Product (MP) is a new evolution of product that involves with network of services, products, people, and environment. From an industrial point of view, this evolution shifts from a material multiplication to an information generated by human actions. Meta-Products require more complex elements than generic products and need the involvement of multidisciplinary team (garment designers, sensor networks designers and application developers). Therefore, a new product development methodology that improves network collaboration is required. The main objective of this work is to propose a new methodology for the collaborative development of intelligent wearable Meta-Products. The proposed methodology contributes for a clear understanding about the steps to be used during the design and development of new Meta-Products.


Archive | 2018

Energy-Efficiency of Tools and Applications on Internet

Ali Hassan Sodhro; Arun Kumar Sangaiah; Gul Hassan Sodhro; Aicha Sekhari; Yacine Ouzrout; Sandeep Pirbhulal

Abstract This chapter presents the comparative analysis of the various tools and applications in terms of energy-efficiency. Due to increasing demand of Green technology it is very challenging to minimize the energy consumption of software and hardware components. In addition, the use of applications or software on our computers consumes energy and it also affects the energy drain of several hardware components and system resources. Consequently, running web browsers, media players, file transfer protocols, wired and wireless security protocol applications will utilize the considerable amount of energy. In this remarkable research, we have run different types of experiments which contain the use of several measuring tools. Firstly, joulemeter and powertop (pTop) are used to monitor and calculate the energy drain of hardware and software while running web-based and stand-alone applications with Windows 7 and Linux (i.e. Ubuntu 16.04) operating systems on desktop and laptop computers. Secondly, it is presented that how much energy is consumed by an ordinary citizen on typical things of everyday use on the web.


Archive | 2018

Medical Quality of Service Optimization Over Internet of Multimedia Things

Ali Hassan Sodhro; Arun Kumar Sangaiah; Gul Hassan Sodhro; Mir Muhammad Lodro; Aicha Sekhari; Yacine Ouzrout; Sandeep Pirbhulal; Kaneez Fatima

Abstract This chapter gives an innovative research for streaming of video over the Internet of Multimedia Things (IoMT) – an enrichment to the Internet of Things (IoT). Its primary goal is to support video streaming as a part of the implementation of IoT with Telemedicine and medical quality of service (m-QoS) optimization. The IoT enabled systems cannot be successful if the idea of pervasive connectivity of everything is unable to include ‘multimedia objects’. This problem is analyzed and focused by envisioning the concept of IoT and depicting a motivation concerning the vision of IoMT. Moreover, this chapter proposes three novel algorithms namely, Modified Lazy Video Transmission Algorithm (MLVTA), Online Video Transmission Algorithm (OVTA) and Rate Control Video Transmission Algorithm (RCVTA) for applications such as, Tele-monitoring, Tele-vision news casts and Tele-surgery by considering video streams of pre-recorded (i.e., stored), online and high-definition (HD) videos respectively, through work ahead transmission to optimize m-QoS in terms of standard deviation throughput, peak-to-mean ratio, jitter, average jitter, delay, and average delay over IoMT network.


Archive | 2017

Battery Friendly Internet of Medical Media Things Networks

Sandeep Pirbhulal; Ali Hassan Sodhro; Aicha Sekhari; Yacine Ouzrout; Wanqing Wu

Rapid proliferation in the medical wearable device market has become the center of attention and changed the every corner of the medical world for the effective and economical information transmission, but because of the tiny size and high power drain more battery charge is consumed, so to remedy that problem this paper proposes ON-OFF Battery Friendly Algorithm (OBFA) to minimize the energy drain and hence to enhance the battery lifetime of these portable devices. Patient’s bio-signals such as, electrocardiogram (ECG) data from World’s larger database, i.e., PhysioNet is taken and examined with our proposed OBFA for further transmission over joint IoT and Wireless Body Sensor Networks (WBSNs). Experimental platform reveals that battery charge consumption is reduced and lifetime is improved in comparison with traditional baseline scheme.


Concurrent Engineering | 2017

Product lifecycle management solution for collaborative development of Wearable Meta-Products using set-based concurrent engineering:

Mohammed Taha Elhariri Essamlali; Aicha Sekhari; Abdelaziz Bouras

The trend of smart products is now changing the world and transforming the life of customers. People tend to be more tied to smart, connected products seeking to ease and improve quality of life and find new ways to make things such as daily tasks differently. In this context, the world of clothing has noticed a big advance targeting various applications: sport, gaming, and health monitoring and rehabilitation. Wearable smart products are intelligent hybrid products made of garments, sensor networks, and applications, interacting with users and the environment capable of real-time data processing and storage, with capabilities to extend functionalities by communicating with other things. The multi-functionality property of smart products needs the integration of various electronic parts. High variety of parts with different interfaces makes the development of smart products complex than generic products and requires the involvement and close collaboration of multidisciplinary team (garment designers, sensor networks designers, and application developers). A high number of alternative designs can be considered at the beginning of the design process due to this variety and high availability of parts. The smart product development team needs then to explore multiple candidate solutions before finding the best smart product design that complies with the requirements. This work proposes the set-based concurrent engineering to deal efficiently with the alternatives. Therefore, this article provides a novel approach to shift from set-based concurrent engineering theoretical principles toward a pragmatic (practical) application to wearable smart products taking advantage of product lifecycle management system capabilities for the implementation. The use of product lifecycle management system to support the set-based concurrent engineering process will contribute for a better understanding of the approach avoiding confusions, simplify the architecture of the solution in view of integration with other systems, and enable the stakeholders to focus on the level of innovation of the smart product.


International Conferrence on Software, Knowledge, Information Management and Applications | 2010

Sustainable Supply Chain Management: State- of- the- Art

Aicha Sekhari; Sarker Rafij Ahmed Ratan; Mijanur Rahman; Abdel Aziz Bouras; Yacine Ouzrout


2017 International Conference on Digital Arts, Media and Technology (ICDAMT) | 2017

The using of bibliometric analysis to classify trends and future directions on “smart farm”

Paweena Suebsombut; Aicha Sekhari; Pradorn Sureepong; Pittawat Ueasangkomsate; Abdelaziz Bouras


Journal of Advanced Manufacturing Systems | 2018

Multi-Criteria Decision Making for PLM Maturity Analysis based on an Integrated Fuzzy AHP and VIKOR Methodology

Xi Yu; Haiqing Zhang; Abdelaziz Bouras; Yacine Ouzrout; Aicha Sekhari

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Yacine Ouzrout

Institut national des sciences Appliquées de Lyon

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Ali Hassan Sodhro

Chinese Academy of Sciences

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Sandeep Pirbhulal

Chinese Academy of Sciences

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Wanqing Wu

Chinese Academy of Sciences

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Gul Hassan Sodhro

Shah Abdul Latif University

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