2016 European Modelling Symposium (EMS)

28-30 Nov. 2016

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Displaying Results 1 - 25 of 51
  • [Front cover]

    Publication Year: 2016, Page(s): c1
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  • [Title page i]

    Publication Year: 2016, Page(s): i
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  • [Title page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - viii
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  • Welcome Message from the Chairs

    Publication Year: 2016, Page(s): ix
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  • Conference Organization

    Publication Year: 2016, Page(s): x
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  • Technical Program Committee Members and Reviewers

    Publication Year: 2016, Page(s): xi
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  • Keynote 1 — Building a Brain-Inspired Deep Learning Machine by Prof. Frank Wang

    Publication Year: 2016, Page(s): xii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (104 KB)

    Provides an abstract of the keynote presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • Keynote 2 — Dynamic Interpolative Modelling and Its Application to Intrusion Detection by Prof. Qiang Shen

    Publication Year: 2016, Page(s): xiii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (104 KB)

    Provides an abstract of the keynote presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. View full abstract»

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  • Sponsors

    Publication Year: 2016, Page(s): xiv
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  • Impact of Index Structures on Temporal Database Performance

    Publication Year: 2016, Page(s):3 - 9
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (321 KB) | HTML iconHTML

    Data are inevitable part of human life. In the past, only small data portions were processed, however, nowadays, data significance and relevance is high, it is necessary to manage huge data amount, data requirements are still rising. Adding temporal data definition extends actual conventional paradigm of processing and brings real problems based on performance degradation. In this paper, we propos... View full abstract»

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  • General-System Modelling Framework of Complex Activity

    Publication Year: 2016, Page(s):13 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (650 KB) | HTML iconHTML

    The paper suggests a universal modelling framework of complex activity (CA). The framework composes: the models of structural elements that represent the constituent elements of the activity; the structural models of CA that represent the connections and interaction of the elements; the behavioral models of CA that represent the behavior of the whole aggregate of elements in their interconnections... View full abstract»

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  • A Bin Packing Algorithm for Steel Production

    Publication Year: 2016, Page(s):19 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB) | HTML iconHTML

    The paper presents a novel method for steel cutting optimization, which is performed by means of a two dimensional bin packing algorithm, with bins of different sizes. Our model extends previous mixed integer programs for bin packing, accounting for many of the issues arising in the steel manufacturing industry. In particular the proposed method can satisfy customer requirements on product quality... View full abstract»

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  • Breast Image Classification Based on Concatenated Statistical, Structural and Textural Features

    Publication Year: 2016, Page(s):27 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (601 KB) | HTML iconHTML

    Breast cancer is the most prevalent form of cancer. Statistics show that breast cancer causes the second highest mortality in women worldwide and around two million of breast cancer has acquired high importance for proper diagnosis which can save doctors and physiologist time. The breast, which contains fatty tissue is more vulnerable to cancer. In this paper, we classify a set of breast images ba... View full abstract»

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  • Kernel-Based Fuzzy Local Binary Pattern for Gait Recognition

    Publication Year: 2016, Page(s):35 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (345 KB) | HTML iconHTML

    Gait recognition has received increasing attention in biometrics. However, more effort is needed to enhance the performance. In this paper, we investigate a novel descriptor for gait recognition known as Kernel-based Fuzzy Local Binary Pattern (KFLBP). The spatio-temporal static and dynamic characteristics of a gait sequence is first summarized using a Gait-Energy Image (GEI). Then, the proposed a... View full abstract»

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  • Recognizing Emotional State Changes Using Speech Processing

    Publication Year: 2016, Page(s):41 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (845 KB) | HTML iconHTML

    Research on understanding human emotions in speech, seeks to find out utterance mood by analyzing cognitive attributes extracted from acoustical speech signal. Speech contains rich patterns which can be altered by mood of a speaker. This paper explores speech from database and long-term speech recordings to analyze of mood changing in individual speaker during long-term speech. We introduce a lear... View full abstract»

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  • A Comparative Study of Different Speech Features for Arabic Phonemes Classification

    Publication Year: 2016, Page(s):47 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (976 KB) | HTML iconHTML

    This paper presents the work related to phonetical analysis of classical Arabic speech. Hidden Markov model classifier is applied on Arabic phonemes. For the purpose of this work, a new classical Arabic speech corpus is created. The corpus is based on selected recordings of recitations of The Holy Quran. A number of acoustic features are analyzed and compared. Those are: linear predictive coding (... View full abstract»

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  • Continuous Moment-Based Features for Classification of Ground Vehicle SAR Images

    Publication Year: 2016, Page(s):53 - 57
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB) | HTML iconHTML

    In this paper, four continuous moment-based feature extraction techniques for Synthetic Aperture Radar (SAR) images are examined. Geometric Moments (GMs) , Legendre Moments (LMs) , Zernike Moments (ZMs) and Pseudo Zernike Moments (PZMs) are introduced as a feature extraction for three types of ground vehicles from SAR images. GMs are simplest moment that suffers from high degree of information red... View full abstract»

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  • Density Based Dominant Sets Growing and Clustering

    Publication Year: 2016, Page(s):58 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB) | HTML iconHTML

    Data clustering is an important technique in data mining and pattern recognition. In practical tasks the clusters can be of arbitrary shapes. However, many existing algorithms tend to generate only spherical clusters. While density based clustering algorithms are able to deal with arbitrary clusters, they usually involve multiple user-specified parameters. In this paper we propose to solve this pr... View full abstract»

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  • Performance Analysis of Integrated Canny and Fuzzy-Logic Based (2-by-2 Cell Block) Edge-Detection Algorithms

    Publication Year: 2016, Page(s):64 - 69
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (531 KB) | HTML iconHTML

    Edge-detection techniques have been used for a variety of purposes. For the case of Biomedical information extraction like bone fracture detection, edge plays a vital role. An edge has been detected using different techniques and methods. Among the different techniques, Canny's method has been used since its proposal by J. Canny [1]. Canny methods contain's different steps towards the detection of... View full abstract»

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  • Reintroducing KAPD as a Dataset for Machine Learning and Data Mining Applications

    Publication Year: 2016, Page(s):70 - 74
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (784 KB) | HTML iconHTML

    KACST Arabic Phonetic Database (KAPD) has been in use by researchers for around fifteen years since its initial release. Researches in acoustics and phonetics have benefited from its phonetically rich content. In fact, KAPD has the potential to go further steps with the research community. In this work, KAPD is subject to enhancements and improvements in order to serve as dataset for machine learn... View full abstract»

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  • Blind Extraction of Nonstationary Signal with Four Order Correlation Kurtosis Deconvolution

    Publication Year: 2016, Page(s):75 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB) | HTML iconHTML

    As for nonstationary signal, such as subpixel peak detection,we could be difficult to suppress the noise of superGaussian and sub-Gaussian in the mixed signal with the traditional low order filter. The gradient search method is generally adopt in the filter algorithm based on higher order statistics, but it is difficult to avoid local convergence and large complexity in the gradient search process... View full abstract»

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  • High Level Synthesis based FPGA Implementation of H.264/AVC Sub-Pixel Luma Interpolation Filters

    Publication Year: 2016, Page(s):79 - 82
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB) | HTML iconHTML

    In High Efficiency Video Coding (HEVC) and H.264/AVC video coding standards, Interpolation filtering used for sub-pixel interpolation is one of the most computational intensive parts of the standards. Video processing systems are becoming more complex thus decreasing the productivity of the hardware designers and the software programmers, producing design productivity gap. To fill this productivit... View full abstract»

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  • A Simulation study of Fairness-Profit Trade-off in Project Selection based on HHI and Knapsack Models

    Publication Year: 2016, Page(s):85 - 90
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (266 KB) | HTML iconHTML

    Each company continually has to choose the projects in which to invest, among the numerous proposals submitted by company departments. Just a few projects among those put forward for funding can be actually accepted, due to the unavoidable discrepancy between available money and required investments. Though overall profit maximization could appear as the natural allocation goal, it is to be consid... View full abstract»

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