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  • Open Access

    ARTICLE

    Real-Time Visual Tracking with Compact Shape and Color Feature

    Zhenguo Gao1, Shixiong Xia1, Yikun Zhang1, Rui Yao1,*, Jiaqi Zhao1, Qiang Niu1, Haifeng Jiang2

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 509-521, 2018, DOI:10.3970/cmc.2018.02634

    Abstract The colour feature is often used in the object tracking. The tracking methods extract the colour features of the object and the background, and distinguish them by a classifier. However, these existing methods simply use the colour information of the target pixels and do not consider the shape feature of the target, so that the description capability of the feature is weak. Moreover, incorporating shape information often leads to large feature dimension, which is not conducive to real-time object tracking. Recently, the emergence of visual tracking methods based on deep learning has also greatly increased… More >

  • Open Access

    ARTICLE

    Inverted XML Access Control Model Based on Ontology Semantic Dependency

    Meijuan Wang1,2,*, Jian Wang1, Lihong Guo1,3, Lein Harn4

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 465-482, 2018, DOI:10.3970/cmc.2018.02568

    Abstract In the era of big data, the conflict between data mining and data privacy protection is increasing day by day. Traditional information security focuses on protecting the security of attribute values without semantic association. The data privacy of big data is mainly reflected in the effective use of data without exposing the user’s sensitive information. Considering the semantic association, reasonable security access for privacy protect is required. Semi-structured and self-descriptive XML (eXtensible Markup Language) has become a common form of data organization for database management in big data environments. Based on the semantic integration nature More >

  • Open Access

    ARTICLE

    A Spark Scheduling Strategy for Heterogeneous Cluster

    Xuewen Zhang1, Zhonghao Li1, Gongshen Liu1,*, Jiajun Xu1, Tiankai Xie2, Jan Pan Nees1

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 405-417, 2018, DOI:10.3970/cmc.2018.02527

    Abstract As a main distributed computing system, Spark has been used to solve problems with more and more complex tasks. However, the native scheduling strategy of Spark assumes it works on a homogenized cluster, which is not so effective when it comes to heterogeneous cluster. The aim of this study is looking for a more effective strategy to schedule tasks and adding it to the source code of Spark. After investigating Spark scheduling principles and mechanisms, we developed a stratifying algorithm and a node scheduling algorithm is proposed in this paper to optimize the native scheduling More >

  • Open Access

    ARTICLE

    Reversible Natural Language Watermarking Using Synonym Substitution and Arithmetic Coding

    Lingyun Xiang1,2, Yan Li2, Wei Hao3,*, Peng Yang4, Xiaobo Shen5

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 541-559, 2018, DOI:10.3970/cmc.2018.03510

    Abstract For protecting the copyright of a text and recovering its original content harmlessly, this paper proposes a novel reversible natural language watermarking method that combines arithmetic coding and synonym substitution operations. By analyzing relative frequencies of synonymous words, synonyms employed for carrying payload are quantized into an unbalanced and redundant binary sequence. The quantized binary sequence is compressed by adaptive binary arithmetic coding losslessly to provide a spare for accommodating additional data. Then, the compressed data appended with the watermark are embedded into the cover text via synonym substitutions in an invertible manner. On the More >

  • Open Access

    ARTICLE

    Improved Lossless Data Hiding for JPEG Images Based on Histogram Modification

    Yang Du1, Zhaoxia Yin1,2,*, Xinpeng Zhang3

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 495-507, 2018, DOI:10.3970/cmc.2018.02440

    Abstract This paper proposes a lossless and high payload data hiding scheme for JPEG images by histogram modification. The most in JPEG bitstream consists of a sequence of VLCs (variable length codes) and the appended bits. Each VLC has a corresponding RLV (run/length value) to record the AC/DC coefficients. To achieve lossless data hiding with high payload, we shift the histogram of VLCs and modify the DHT segment to embed data. Since we sort the histogram of VLCs in descending order, the filesize expansion is limited. The paper’s key contribution includes: Lossless data hiding, less filesize More >

  • Open Access

    ARTICLE

    Feature Selection Method Based on Class Discriminative Degree for Intelligent Medical Diagnosis

    Shengqun Fang1, Zhiping Cai1,*, Wencheng Sun1, Anfeng Liu2, Fang Liu3, Zhiyao Liang4, Guoyan Wang5

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 419-433, 2018, DOI:10.3970/cmc.2018.02289

    Abstract By using efficient and timely medical diagnostic decision making, clinicians can positively impact the quality and cost of medical care. However, the high similarity of clinical manifestations between diseases and the limitation of clinicians’ knowledge both bring much difficulty to decision making in diagnosis. Therefore, building a decision support system that can assist medical staff in diagnosing and treating diseases has lately received growing attentions in the medical domain. In this paper, we employ a multi-label classification framework to classify the Chinese electronic medical records to establish corresponding relation between the medical records and disease… More >

  • Open Access

    ARTICLE

    Event-Based Anomaly Detection for Non-Public Industrial Communication Protocols in SDN-Based Control Systems

    Ming Wan1, Jiangyuan Yao2,*, Yuan Jing1, Xi Jin3,4

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 447-463, 2018, DOI:10.3970/cmc.2018.02195

    Abstract As the main communication mediums in industrial control networks, industrial communication protocols are always vulnerable to extreme exploitations, and it is very difficult to take protective measures due to their serious privacy. Based on the SDN (Software Defined Network) technology, this paper proposes a novel event-based anomaly detection approach to identify misbehaviors using non-public industrial communication protocols, and this approach can be installed in SDN switches as a security software appliance in SDN-based control systems. Furthermore, aiming at the unknown protocol specification and message format, this approach first restructures the industrial communication sessions and merges More >

  • Open Access

    ARTICLE

    Rare Bird Sparse Recognition via Part-Based Gist Feature Fusion and Regularized Intraclass Dictionary Learning

    Jixin Liu1,*, Ning Sun1,2, Xiaofei Li1, Guang Han1, Haigen Yang1, Quansen Sun3

    CMC-Computers, Materials & Continua, Vol.55, No.3, pp. 435-446, 2018, DOI:10.3970/cmc.2018.02177

    Abstract Rare bird has long been considered an important in the field of airport security, biological conservation, environmental monitoring, and so on. With the development and popularization of IOT-based video surveillance, all day and weather unattended bird monitoring becomes possible. However, the current mainstream bird recognition methods are mostly based on deep learning. These will be appropriate for big data applications, but the training sample size for rare bird is usually very short. Therefore, this paper presents a new sparse recognition model via improved part detection and our previous dictionary learning. There are two achievements in More >

  • Open Access

    ARTICLE

    The Discrete-Analytical Solution Method for Investigation Dynamics of the Sphere with Inhomogeneous Initial Stresses

    Surkay D. Akbarov1,2, Hatam H. Guliyev3, Yusif M. Sevdimaliyev4, Nazmiye Yahnioglu5,*

    CMC-Computers, Materials & Continua, Vol.55, No.2, pp. 359-380, 2018, DOI:10.3970/cmc.2018.00173

    Abstract The paper deals with a development of the discrete-analytical method for the solution of the dynamical problems of a hollow sphere with inhomogeneous initial stresses. The examinations are made with respect to the problem on the natural vibration of the hollow sphere the initial stresses in which is caused by internal and external uniformly distributed pressure. The initial stresses in the sphere are determined within the scope of the exact equations of elastostatics. It is assumed that after appearing this static initial stresses the sphere gets a dynamical excitation and mechanical behavior of the sphere… More >

  • Open Access

    ARTICLE

    Symmetry Transformations and Exact Solutions of a Generalized Hyperelastic Rod Equation

    Ran Wang1, Xuegang Yuan1,2, Hongwu Zhang1, Jing Zhang3, Na Lv2,*

    CMC-Computers, Materials & Continua, Vol.55, No.2, pp. 345-357, 2018, DOI:10.3970/cmc.2018.00233

    Abstract In this paper, a nonlinear wave equation with variable coefficients is studied, interestingly, this equation can be used to describe the travelling waves propagating along the circular rod composed of a general compressible hyperelastic material with variable cross-sections and variable material densities. With the aid of Lou’s direct method1, the nonlinear wave equation with variable coefficients is reduced and two sets of symmetry transformations and exact solutions of the nonlinear wave equation are obtained. The corresponding numerical examples of exact solutions are presented by using different coefficients. Particularly, while the variable coefficients are taken as More >

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