2017 12th International Conference on Computer Engineering and Systems (ICCES)

19-20 Dec. 2017

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  • Final program

    Publication Year: 2017, Page(s):1 - 9
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  • [Front cover]

    Publication Year: 2017, Page(s): c1
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  • [Blank page]

    Publication Year: 2017, Page(s): 1
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  • [Title page]

    Publication Year: 2017, Page(s): 1
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  • [Copyright notice]

    Publication Year: 2017, Page(s): 1
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  • Welcome message from the conference chair

    Publication Year: 2017, Page(s): iii
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  • 2017 ICCES paper statistics

    Publication Year: 2017, Page(s): iv
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  • 2017 ICCES reviewer statistics

    Publication Year: 2017, Page(s): v
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  • 2017 ICCES list of reviewers

    Publication Year: 2017, Page(s):vi - vii
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  • 2017 ICCES committees

    Publication Year: 2017, Page(s):viii - x
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  • Table of contents

    Publication Year: 2017, Page(s):xi - xx
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  • Plenary talk I: Understanding structural and functional brain networks through imaging

    Publication Year: 2017, Page(s):xxi - xxii
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  • Plenary talk II: Big video data analytics: Research challenges and trends

    Publication Year: 2017, Page(s):xxiii - xxiv
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  • Session CA1: Computer architecture I

    Publication Year: 2017, Page(s):1 - 2
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  • Radar false alarm processing using proposed algorithm for Xampling and compressive sensing

    Publication Year: 2017, Page(s):3 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (497 KB) | HTML iconHTML

    This paper combines application of Compressive Sensing theory in radar signal, and the approach of the Xampling. Based on the characteristic of sparse radar signal, it can be sampled at Finite Rate of Innovation (FRI) [1], Xampling converts high dimensional signal to a lower dimensional signal using Fourier coefficients directly from analog signal [2]. A well-known CAMP algorithm was used to recon... View full abstract»

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  • Design and implementation of new delay-efficient/configurable multiplier using FPGA

    Publication Year: 2017, Page(s):8 - 13
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB) | HTML iconHTML

    New delay-efficient configurable multiplier based on Modified Booth's Algorithm (MBA) and Wallace Tree (WT) structure for multiplying two m-bit operands - where m ranges from 8-bit to 128-bit - is introduced. WT structure has been used to reduce the number of sequential adding stages and speed improvements have been achieved. Modifying Booth's multiplier architecture at a fundamental level is an a... View full abstract»

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  • An analysis technique for improving delay factor of carry select adder using FPGA

    Publication Year: 2017, Page(s):14 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (848 KB) | HTML iconHTML

    This paper introduces Field Programmable Gate Array (FPGA) model of modified Carry Select Adder (CSLA) for enhancing conventional CSLA speed based on its performance analysis. The delay factor has been improved by using other adders' blocks and common logic blocks instead of Ripple Carry Adder (RCA) blocks used in conventional CSLA. Modifying CSLA architecture at a fundamental level is an advantag... View full abstract»

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  • Remotely configurable fault-tolerant FPGA-based pacemaker

    Publication Year: 2017, Page(s):19 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (780 KB) | HTML iconHTML

    The Pacemaker is the most famous Implantable Medical Devices which is used in treating bradycardia and tachycardia. The pulse generator is the brain of the pacemaker; accordingly, it should be implemented using a powerful flexible platform. In this paper, an FPGA-based pulse generator is implemented. The Dynamic Partial Reconfiguration (DPR) property of FPGAs is used to allow the remote change of ... View full abstract»

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  • Highly available FPGA-based smart band for WBAN

    Publication Year: 2017, Page(s):25 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB) | HTML iconHTML

    This paper presents an FPGA-based smart band for health monitoring applications in Wireless Body Area Networks (WBANs). The FPGA-based smart band design embeds a softcore processor and its allocated SRAM block, and auxiliary modules. This paper introduces a novel scheme for full initial configuration and Dynamic Partial Reconfiguration through the WLAN network on the FPGA. Transient faults includi... View full abstract»

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  • Impact of process variability on FinFET 6T SRAM cells for physical unclonable functions (PUFs)

    Publication Year: 2017, Page(s):31 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1056 KB) | HTML iconHTML

    The behavior of 6T SRAM cells in presence of process variability for physical unclonable functions (PUFs) is analyzed on the 16 nm FinFET technology. Both systematic and random threshold voltage variations are considered in this analysis. Randomness prosperity of the secret keys generated from the SRAM cell is tested. Supply voltage ramp-up impact on the cells start-up values is also analyzed at d... View full abstract»

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  • A hybrid neural network model for predicting solar cells performance

    Publication Year: 2017, Page(s):37 - 43
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1035 KB) | HTML iconHTML

    Silicon photovoltaic cells show a significant reduction in maximum power output (Pmax) and conversion efficiency with higher values of solar cell temperature. To evaluate (Pmax) tracking capabilities of photovoltaic modules, it is necessary to investigate the operating temperature of the photovoltaic modules and other environmental factors. In this work a proposed neural network model (NN) using d... View full abstract»

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  • [Blank page]

    Publication Year: 2017, Page(s): 1
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  • Session BM: Biomedical engineering

    Publication Year: 2017, Page(s):1 - 2
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  • Effect of tuning TQWT parameters on epileptic seizure detection from EEG signals

    Publication Year: 2017, Page(s):47 - 51
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (443 KB) | HTML iconHTML

    In this paper, we study the effect of tuning the tunable-Q wavelet transform (TQWT) parameters on analyzing the Electroencephalogram (EEG) signals used for detecting epileptic seizure. Publicly available Bonn University database is used in this study, fifteen different combinations were examined. TQWT is used to decompose each EEG signal into a valuable set of band limited signals (sub-bands), the... View full abstract»

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  • WeBB: A brain-computer interface web browser based on steady-state visual evoked potentials

    Publication Year: 2017, Page(s):52 - 57
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1236 KB) | HTML iconHTML

    Utilizing brain activity to interact with the external environment is no longer impossible thanks to recent advances in developing Brain-Computer Interfaces (BCIs). This paper proposes a novel web browser application that utilizes user's Steady-State Visual Evoked Potentials (SSVEPs) from electroencephalography (EEG) to surf the internet. Development of a BCI web browsing application is challengin... View full abstract»

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