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2016 12th International Conference on Computational Intelligence and Security (CIS)

16-19 Dec. 2016

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  • [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 - xvii
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  • Preface

    Publication Year: 2016, Page(s): xviii
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  • Organizing Committee

    Publication Year: 2016, Page(s): xix
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  • Program Committee

    Publication Year: 2016, Page(s):xx - xxi
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  • Additional Reviewers

    Publication Year: 2016, Page(s): xxii
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  • The PTAS of Prediction for RNA Pseudoknotted Structure

    Publication Year: 2016, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (183 KB) | HTML iconHTML

    It is difficult to compute large RNA molecules with pseudoknots in bioinformatics, the prediction of RNA structure with pseudoknots is an NP-hard problem. According to PTAS principle and MFE models, we investigate the RNA pseudoknotted structure. We first presents an efficient algorithm for predicting RNA structure with pseudoknots. The experimental tests in PseudoBases indicate that the algorithm... View full abstract»

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  • Hadoop-Based Dynamic Load Balance Scheduling Algorithm of Logistics Inventory

    Publication Year: 2016, Page(s):5 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB) | HTML iconHTML

    Regarding the problems such as long response time, unbalanced job scheduling load and low implementation efficiency of traditional distributed logistics inventory system, this article proposed the Hadoop dynamic load balance scheduling algorithm based on heartbeat feedback. According to Hadoop scheduling model and working principle of cloud computing, it analyzed the map and reducer function role ... View full abstract»

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  • Divisible-Load Scheduling for Network-Based Computing Systems with Processor Startup Overheads and Release Times

    Publication Year: 2016, Page(s):9 - 13
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (181 KB) | HTML iconHTML

    As scientific applications become more data intensive, finding an efficient scheduling strategy for massive computing on network-based computing systems has drawn increasingly attention. Most existing scheduling models assume that all processors are idle at the beginning of workload assignment. In fact, in the real distributed computing environments, processors may still be occupied with any previ... View full abstract»

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  • Bayesian Quantile Regression and Variable Selection for Count Data with an Application to Youth Fitness Survey

    Publication Year: 2016, Page(s):14 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB) | HTML iconHTML

    Quantile regression model estimates the relationship between covariates and the quantile of a response distribution, rather than the mean. This method has been utilized successfully in several fields such as linear models, random effect models, generalized linear models and semiparametric/nonparametric model etc. However, most of the literature have been developed under the assumption that the res... View full abstract»

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  • Exact Solutions of the Higher Order Nonlinear Schrödinger Equation

    Publication Year: 2016, Page(s):19 - 22
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (163 KB) | HTML iconHTML

    In this paper, we consider the traveling wave solutions for the higher order nonlinear Schrödinger equation by using the first integral method. It is very interesting that the dark soliton can be obtained, which provides possibilities to study dynamics in nonlinear optics. View full abstract»

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  • H-DAT: An Improved Buffer Scheduling Algorithm for Multi-Channel SSD

    Publication Year: 2016, Page(s):23 - 27
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (394 KB) | HTML iconHTML

    To achieve better performance for multi-channel and multi-chip SSD, the DAT scheme exploits light-traffic periods and multi-level parallelism inside SSD to write some buffered dirty data back to flash proactively. However, the appearance of large request will cause extra flash write operations. In this paper, a novel write buffer scheduling algorithm H-DAT is proposed based on former DAT, the iden... View full abstract»

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  • An Improved Differential Evolution with a Novel Restart Mechanism

    Publication Year: 2016, Page(s):28 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB) | HTML iconHTML

    This paper presents a novel differential evolution (DE) algorithm for solving global optimization problems by developing a combined local mutation strategy and a restart mechanism. To alleviate the premature convergence and stagnation, a combined local mutation strategy is first developed to improve the exploitation of DE by using two local mutation strategies. Then, a new restart mechanism is pro... View full abstract»

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  • A New Evolutionary Algorithm Based on Decomposition for Multi-Objective Optimization Problems

    Publication Year: 2016, Page(s):33 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB) | HTML iconHTML

    For multi-objective optimization problems (MOPs), the diversity of obtained solutions is of great importance for multi-objective evolutionary algorithms (MOEAs). To this end, in this paper, a new MOEA based on decomposition of a MOP into a number of constrained single-objective sub-problems (MOEA/D-MCS) is proposed. A MOP is firstly decomposed into a set of simple single-objective optimization sub... View full abstract»

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  • Properly Pareto Optimality Based Multiobjective Evolutionary Algorithm for Constrained Optimization

    Publication Year: 2016, Page(s):39 - 43
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (193 KB) | HTML iconHTML

    Constrained optimization problem (COP) is converted into bi-objective optimization problem (BOP) and solved with a simple differential evolution (DE) algorithm guided by ε-properly Pareto optimality. ε-properly Pareto optimality is stronger than Pareto optimality, which results in Pareto optimal solutions at special region. Since one of the extreme point on Pareto front of BOP is the... View full abstract»

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  • A Novel Spectrum Profile Fitting Method of Non-Gaussian Model

    Publication Year: 2016, Page(s):44 - 47
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (262 KB) | HTML iconHTML

    Spectrum extraction plays a crucial role in two-dimensional spectrum data processing. One of the most important spectrum extraction methods is profile fitting algorithm. In this article we studied the spectrum profile fitting method of non-Gaussian model. The general solution methods always have poor adaptability and some limitation, in order to approximate spectral profiles better, we introduced ... View full abstract»

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  • Mixed Duality of Multi-Objective Programming Involving a Kind of Generalized Convexity

    Publication Year: 2016, Page(s):48 - 51
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (421 KB) | HTML iconHTML

    In this paper, new classes of generalized convex functions are introduced for non-smooth multi-objective programming problem, mixed type dual problem is established, weak, strong duality theorems are derived under new convexity. View full abstract»

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  • An Ameliorated Teaching-Learning Based Optimization Algorithm for Nonlinear Bilevel Programming

    Publication Year: 2016, Page(s):52 - 56
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (181 KB) | HTML iconHTML

    Bilevel programming has a hierarchical leader-follower structure in which the leader acts as the upper level, and the follower acts as the lower level, respectively. Both of them wish to optimize its objective. In this paper, a heuristic method called teaching-learning based optimization algorithm is proposed for solving nonlinear bilevel programming. The detailed procedure is presented, and the p... View full abstract»

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  • A Device-Free Number Gesture Recognition Approach Based on Deep Learning

    Publication Year: 2016, Page(s):57 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (322 KB) | HTML iconHTML

    Number gestures play essential parts in our daily communication and have attracted academic interests in developing Human-Computer Interface. In this paper, we resort to the fine-grained Channel State Information (CSI) in the 802.11n standard to recognize number gestures. The intuition is that certain gestures can affect wireless environment in a specific formation and thus generate unique feature... View full abstract»

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  • The Assessment Study of Airport Staff Work Performance Based on Fuzzy Comprehensive Evaluation

    Publication Year: 2016, Page(s):64 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (394 KB) | HTML iconHTML

    Because of individual work efficiency affecting the whole airport working efficiency, it's very important that how to evaluate the individual work efficiency scientifically. In this paper, by analyzing the working characteristics and environment of civil aviation airport staff, a hierarchical fuzzy comprehensive evaluation model is introduced. For the complexity and variability of the working envi... View full abstract»

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  • A Framework for Compressive-Sensing of 3D Point Clouds

    Publication Year: 2016, Page(s):69 - 72
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    In this paper we propose a framework for analyzing 3D point cloud data compression using compressive-sensing. This framework uses real 3D point clouds and investigates different error sources that may affect performance of the system. Experimental results show that excluding edge points from error calculation gives us better criteria to decide the best compression ratio in the system. View full abstract»

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  • Research on Distributed Logistics Inventory Model Based on Cloud Computing

    Publication Year: 2016, Page(s):73 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB) | HTML iconHTML

    In order to establish a distributed intelligent logistics warehousing management information system under cloud computing environment, and realize the dynamic optimization and warning of logistics inventory, it proposed the distributed logistics inventory model based on cloud computing. Firstly, it analyzed the characteristics of existing distributed inventory model and the advantages of cloud com... View full abstract»

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