2016 International Conference on Computational Intelligence and Applications (ICCIA)

27-29 Aug. 2016

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  • [Front cover]

    Publication Year: 2016, Page(s): C4
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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 - vi
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  • Preface

    Publication Year: 2016, Page(s): vii
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  • Committees

    Publication Year: 2016, Page(s):viii - ix
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  • Keynote speakers

    Publication Year: 2016, Page(s):x - xiii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (164 KB)

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

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  • Invited Speakers

    Publication Year: 2016, Page(s):xiv - xv
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (141 KB)

    Provides an abstract for each of the invited presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • Using Falsity Data in the Stacking Technique

    Publication Year: 2016, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (605 KB) | HTML iconHTML

    This paper proposes the use of original falsity datain the stacking technique. Instead of using the average betweenthe truth and non-falsity data predicted from level 0, theoriginal truth data and the original falsity data predicted fromlevel 0 are applied to level 1 of the stacking. In the experiments,the proposed technique is used to solve both classification andregression problems from UCI mach... View full abstract»

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  • Dynamic Neural Networks for Text Classification

    Publication Year: 2016, Page(s):6 - 11
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (774 KB) | HTML iconHTML

    This research proposes an approach for text classification that uses a simple neural network called Dynamic Text Classifier Neural Network (DTCNN). The neural network uses as input vectors of words with variable dimension without information loss called Dynamic Token Vectors (DTV). The proposed neural network is designed for the classification of large and short text into categories. The learning ... View full abstract»

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  • A Method for Predicting Ultimate Bearing Capacity of Bolts Based on PSO-RBF Neural Network

    Publication Year: 2016, Page(s):12 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (515 KB) | HTML iconHTML

    The test of bearing capacity of bolt is very important for bolt quality test. Improper parameter of radial basis function (RBF) neural network may lead to large network convergence error and worse generalization capacity. Particle swarm optimization (PSO) is used to optimize the parameters in the study of improved RBF neural network. First, eigenvector respecting the bearing capacity of bolt is ch... View full abstract»

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  • Towards a Speech Enhancement De-noising Algorithm Based on Cepstrum Smoothing Prior SNR Estimation

    Publication Year: 2016, Page(s):16 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (712 KB) | HTML iconHTML

    The accuracy of prior Signal to Noise Ratio (SNR) estimation directly affects the performance of single-channel speech enhancement de-noising algorithm. In the single-channel enhancement algorithms based on short-time amplitude spectrum estimation, the gain is usually described as function about priori and posteriori SNR. The decision-directed (DD) method is widely applied in prior SNR estimation.... View full abstract»

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  • Nonconvex Second-Order Variational Image Denoising Model with Adaptive Selection of Regularization Parameters

    Publication Year: 2016, Page(s):21 - 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (579 KB) | HTML iconHTML

    Image denoising is a typically ill-conditioned inverse problem, which has attracted much attention in the fields of image processing and computer vision. In order to overcome the ill-conditioned nature of this inverse problem, a nonconvex total generalized variation (NTGV)-regularized variational model was proposed in this paper for edge-preserving image denoising. The introduced NTGV regularizer ... View full abstract»

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  • Development of Hemi-Cylinder Plane for Panorama View in Around View Monitor Applications

    Publication Year: 2016, Page(s):26 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (738 KB) | HTML iconHTML

    This paper presents a development algorithm of hemi-cylinder projection plane applied in panorama view of AVM applications. This projection plane is established to maintain the FOV in horizontal axis. The calibration parameters are estimated with OcamCalib toolbox, and comparison of keypoint detection are showed as experimental results. Our panorama view stitching with homography matrix calculated... View full abstract»

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  • A New Motion Obstacle Detection Based Monocular-Vision Algorithm

    Publication Year: 2016, Page(s):31 - 35
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (864 KB) | HTML iconHTML

    As for real-time changes in the illumination and external environment in indoor structured environment, this paper proposed an advanced moving obstacle detection algorithm based on monocular vision. It cut the image with a monocular camera, did the gray scale conversion and median filtering, combined the background subtraction method of Gaussian mixture model and inter-frame subtraction method, th... View full abstract»

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  • Improvement of Classification Accuracy Using Image Fusion Techniques

    Publication Year: 2016, Page(s):36 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1440 KB) | HTML iconHTML

    Remote sensing techniques have been widely used for identification of land use and land cover features. Land information can be easily collected by classification of satellite images in the context of their use. In this paper study area has been classified into three classes i.e. settlement, trees and agricultural by classification of an image which has been enhanced using fusion of two images. Th... View full abstract»

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  • Question Answering with DBpedia Based on the Dependency Parser and Entity-centric Index

    Publication Year: 2016, Page(s):41 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (693 KB) | HTML iconHTML

    The emerging Linked Open Data provides an opportunity to answer the natural language question based on knowledge bases (KB). This study proposes an approach to question answering (QA) on the DBpedia dataset. After parsing the question by a dependency parser, we locate the entity mention and property mention with predefined templates. We propose an entity-centric indexing model to help search refer... View full abstract»

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  • Estimation of the Market Size of Medical Tourism Industry Using Grey Models -- Case Study in South Korea

    Publication Year: 2016, Page(s):46 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (554 KB) | HTML iconHTML

    South Korea (Korea) is a highlight of medical tourism in Asia in the recent years. It has become an attractive destination with the large number of foreign patients around the world. Although, the businesses of medical tourism in this country are quickly expanding, its market size is still unclear due to the shortage of statistical number. Therefore, this study aims to employ forecast tool to esti... View full abstract»

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  • Application of AHP Method in Analysing and Selecting the Right Supplier -- Case of Instant Coffee Supplier for Hanoi Big C Supermarket

    Publication Year: 2016, Page(s):51 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB) | HTML iconHTML

    Retailing is the act of selling goods or commodities in small quantities directly to consumers. These items are purchased from manufacturers or wholesalers and sold to end users at a marked up price. Retailing is a very special sector because it demonstrates the effectiveness of combined products and services to create business value. In this research, the authors want to investigate the particula... View full abstract»

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  • Solving a Teaching Assistant Timetabling Using Constraint Based Approach

    Publication Year: 2016, Page(s):56 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (574 KB) | HTML iconHTML

    This paper proposes a method for solving teaching assistant (TA) scheduling problem for the Department of Computer Science - Prince of Songkla University. We proposed an algorithm and implemented a system to generate a timetable using Constraint Based Approach. In addition, Cluster Method and Earliest Deadline First (EDF) Techniques were also used in order to minimize the search spaces by grouping... View full abstract»

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  • Modeling of Instant Messaging System Based on RUP and UML

    Publication Year: 2016, Page(s):61 - 66
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    Rational Unified Process (Rational Unified Process, RUP) is a software engineering process of use-case driven, architecture-centric, iterative and incremental development. This paper analyzes the core workflow of RUP, cuts the RUP process, uses Unified Modeling Language (Unified Modeling Language, UML), proposes the steps for small and medium software system modeling, and applies to the modeling p... View full abstract»

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  • Human Resource Allocation Combined with Team Formation

    Publication Year: 2016, Page(s):67 - 71
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (757 KB) | HTML iconHTML

    Human resource allocation problem is a social problem that has been studied extensively. Aimed at the allocation of human resources, this paper proposed a reasonable mechanism of human resource allocation in which human resource allocation is regarded as the formation of multiple teams. First, tasks submit the skills that they require to the mechanism, and then the mechanism sorts the tasks in a d... View full abstract»

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  • Research on the Impact of the Adjustment of Chinese Family Planning Policy on the Size and Structure of Population Based on a Simulation Model

    Publication Year: 2016, Page(s):72 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1148 KB) | HTML iconHTML

    In the past two years, the constantly adjustment for family planning policy by Chinese government is bound to have a great impact on population scale, aging process of the Chinese society, education, labor force, employment and endowment. Adopting C++ language, this paper built a population predicting simulation model using time-lapse method to predict the population and the trend of some related ... View full abstract»

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  • Evolution of Port Ecological Carrying Capacity Based on SD Model

    Publication Year: 2016, Page(s):78 - 82
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (659 KB) | HTML iconHTML

    Construction of ecological port has become an important direction of port development. Research on evaluation and prediction of evolution of port ecological carrying capacity trend can provide available and reliable method for ecological port construction. A system dynamics (SD) model for port ecological carrying capacity considering characteristics of port ecosystem is built in this paper, based ... View full abstract»

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