This paper considers the problem of power/energy minimization for periodic real-time tasks that are scheduled over multiprocessor platforms that have dynamic power management (DPM) and dynamic voltage & frequency scaling (DVFS) capabilities. Early research reports that while both DPM and DVFS policies perform well individually for a specific...
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December 11, 2010 (v1)Conference paperUploaded on: December 4, 2022
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March 26, 2012 (v1)Conference paper
Semi-partitioned scheduling is regarded as a viable alternative to partitioned or global scheduling approaches. Advantage of semi-partitioned scheduling is two-folds: it has reduced runtime overhead compared to global scheduling, and improved schedulability and system utilization factor compared to partitioned scheduling. This paper proposes a...
Uploaded on: February 28, 2023 -
July 10, 2003 (v1)Conference paper
Energy consumption is a hot topic in the design of embedded systems. As mobile computing system (video camera, cellular phone, etc.) becomes more popular, how to lengthen the battery life of these systems becomes a critical issue. Also embedded system design is one of the most challenging tasks because the increasing complexity of new and...
Uploaded on: December 4, 2022 -
September 19, 2010 (v1)Conference paper
There is an increase in use of wireless sensor networks due to its utilization in emerging applications for building automation, disaster management and video surveillance. To make sure efficient, reliable and low power routing various metrics are proposed. It is generally assumed that network consists of homogeneously distributed nodes having...
Uploaded on: December 4, 2022 -
June 12, 2023 (v1)Publication
Wireless Sensor Networks (WSNs) are limited by their energy resources, and their energy efficiency depends on how effectively they can optimize energy consumption. WSNs have applications in diverse areas such as environmental data collection and health monitoring. This paper proposes an intelligent energy management approach for WSNs using...
Uploaded on: June 24, 2023 -
May 4, 2014 (v1)Conference paper
Power consumption in programmable devices has become a primary factor in design flow. Among the main concerns of power consumption, application performance, battery life, thermal challenges, or reliability, power consumption is crucial in FPGA designs for powered battery equipment. In this paper, we study the FPGA-based design for Sobel Edge...
Uploaded on: December 4, 2022 -
September 1, 2010 (v1)Conference paper
A lot of task scheduling algorithms and power management policies have been developed based on simplistic power models, which rarely take into account the effects of the power consumptions of the different components of a real system. Most of the models on which the study of the DVFS scheduling is based, make the assumption that the power...
Uploaded on: December 4, 2022 -
July 23, 2024 (v1)Conference paper
Wireless sensor nodes are increasingly deployed to monitor and collect data in remote and inaccessible locations. These nodes transmit the collected information to base stations for further processing. However, one of the major challenges they face is the limited energy resource, which significantly restricts their operational lifetime and,...
Uploaded on: August 2, 2024 -
May 30, 2015 (v1)Book section
Automatic emotion recognition enhance dramatically the development of human/machine dialogue. Indeed, it allows computers to determine the emotion felt by the user and adapt consequently its behavior. This paper presents a new method for the fusion of signals for the purpose of a multimodal recognition of eight basic emotions using...
Uploaded on: February 28, 2023 -
October 21, 2014 (v1)Conference paper
For a standalone Fall Detection system based on computer vision we want to obtain a low power architecture to meet the real time processing, power consumption, energy constraints which also satisfy the high performance in recognition, and accuracy. In this paper, we present the different architecture explorations for Fall Detection system...
Uploaded on: December 4, 2022