IEEE Embedded Systems Letters

Issue 4 • Dec. 2017

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Displaying Results 1 - 14 of 14
  • Table of contents

    Publication Year: 2017, Page(s): C1
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  • IEEE Embedded Systems Letters publication information

    Publication Year: 2017, Page(s): C2
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  • Real-Time Multiprocessor Scheduling Algorithm Based on Information Theory Principles

    Publication Year: 2017, Page(s):93 - 96
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (612 KB) | HTML iconHTML

    Reducing job migrations is essential for any global multiprocessor scheduling algorithm. In this letter, we present a global, dynamic-priority, laxity-based algorithm that reduces the number of migrations on multiprocessor embedded systems by leveraging information theory principles. A simplification of the proposed scheduling theory is presented to reduce the overhead caused by using information ... View full abstract»

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  • A Powerline-Tuned Camera Trigger for AC Illumination Flickering Reduction

    Publication Year: 2017, Page(s):97 - 100
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1235 KB) | HTML iconHTML

    Camera triggering represents an essential step for synchronizing artificial vision systems (AVSs) and can affect the quality of acquired images. In fact, a proper trigger signal is mandatory to synchronize in time both stand alone or multiple cameras covering large environments. In addition, indoor environments with artificial light sources can induce flickering noise in captured frames, affecting... View full abstract»

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  • Data Reduction in Sensor Networks: Performance Evaluation in a Real Environment

    Publication Year: 2017, Page(s):101 - 104
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (742 KB) | HTML iconHTML

    Data reduction is an effective technique for energy saving in wireless sensor networks. It consists on reducing sensing and transmitting data while conserving a high quality of collected information. In this letter, we propose an online data reduction model based on Kruskal-Wallis test that allows sensor nodes to adapt their sensing rates based on the data variance. Then, we propose a local aggreg... View full abstract»

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  • A Flexible Decision-Making Mechanism Targeting Smart Thermostats

    Publication Year: 2017, Page(s):105 - 108
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (922 KB) | HTML iconHTML

    Buildings are immensely energy-demanding and are expected to consume even more in the near future. The operation of cooling/heating mechanisms highly contribute to this parameter, since nonoptimal configuration at temperature set-points usually leads to increased energy cost, as well as violations at occupant's thermal comfort. In this letter, we introduce a flexible decision-making mechanism for ... View full abstract»

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  • SAM: Software-Assisted Memory Hierarchy for Scalable Manycore Embedded Systems

    Publication Year: 2017, Page(s):109 - 112
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (941 KB) | HTML iconHTML

    This letter proposes a system architecture for a scalable software-assisted memory (SAM) hierarchy for emerging manycore embedded systems. Our SAM hierarchy overcomes the coherence overhead and inflexibility of purely hardware-managed memory hierarchies in adapting to variable workloads. Our preliminary results show opportunities for energy saving and performance improvement through: 1) a hybrid s... View full abstract»

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  • Tactics to Directly Map CNN Graphs on Embedded FPGAs

    Publication Year: 2017, Page(s):113 - 116
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (730 KB) | HTML iconHTML

    Deep convolutional neural networks (CNNs) are the state-of-the-art in image classification. Since CNN feed forward propagation involves highly regular parallel computation, it benefits from a significant speed-up when running on fine grain parallel programmable logic devices. As a consequence, several studies have proposed field-programmable gate array (FPGA)-based accelerators for CNNs. However, ... View full abstract»

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  • Mobile Application to Detect Induction Motor Faults

    Publication Year: 2017, Page(s):117 - 120
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1091 KB) | HTML iconHTML

    An Android-based application has been developed which can convert any mobile phone with inbuilt accelerometer into a squirrel cage induction motor (SCIM) fault diagnosis tool. To detect the faults, the mobile phone needs to be attached to the motor, and the application will record the motor vibration signal using the inbuilt accelerometer. After the recording, the faults are detected by locating t... View full abstract»

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  • A Reactive and Adaptive Data Flow Model for Network-of-System Specification

    Publication Year: 2017, Page(s):121 - 124
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (208 KB) | HTML iconHTML

    With embedded systems being increasingly networked, appropriate models of computation and communication are needed for specification of such networks-of-systems. Traditional dataflow models have shown their usefulness in analyzing isolated systems. However, these models cannot express the inherent requirements of connected applications, such as dynamic behavior associated with network losses and r... View full abstract»

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  • A Hybrid Instruction Prefetching Mechanism for Ultra Low-Power Multicore Clusters

    Publication Year: 2017, Page(s):125 - 128
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1360 KB) | HTML iconHTML

    The instruction memory hierarchy plays a critical role in performance and energy efficiency of ultralow-power (ULP) processors for the Internet-of-Things (IoT) end-nodes. This is mainly due to the extremely tight power envelope and area budgets, which imply small instruction-caches (I-Cache) operating at very low supply voltages (near-threshold). The challenge is aggravated by the fact that multip... View full abstract»

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  • 2017 Index IEEE Embedded Systems LettersVol. 9

    Publication Year: 2017, Page(s):129 - 132
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  • IEEE Embedded Systems Letters information for authors

    Publication Year: 2017, Page(s): C3
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    Publication Year: 2017, Page(s): C4
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Aims & Scope

The IEEE Embedded Systems Letters (ESL), provides a forum for rapid dissemination of latest technical advances in embedded systems and related areas in embedded software.

Full Aims & Scope

Meet Our Editors

EDITOR-IN-CHIEF
Sri Parameswaran
School of Computer Science and Engineering
University of New South Wales

DEPUTY EDITOR-IN-CHIEF
Tulika Mitra
School of Computing
National University of Singapore