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  • Open Access

    ARTICLE

    Improving Support Vector Domain Description by Maximizing the Distance Between Negative Examples and The Minimal Sphere Center's

    Mohamed EL Boujnouni1, Mohamed Jedra2

    Computer Systems Science and Engineering, Vol.33, No.6, pp. 409-420, 2018, DOI:10.32604/csse.2018.33.409

    Abstract Support Vector Domain Description (SVDD) is an effective kernel-based method used for data description. It was motivated by the success of Support Vector Machine (SVM) and thus has inherited many of its attractive properties. It has been extensively used for novelty detection and has been applied successfully to a variety of classification problems. This classifier aims to find a sphere with minimal volume including the majority of examples that belong to the class of interest (positive) and excluding the most of examples that are either outliers or belong to other classes (negatives). In this paper More >

  • Open Access

    ARTICLE

    Research on the Clustering Analysis and Similarity in Factor Space

    Sha-Sha Li1,2,∗, Tie-Jun Cui1,2,3,†, Jian Liu1,2,‡

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 397-404, 2018, DOI:10.32604/csse.2018.33.397

    Abstract In this paper, we study the in uence of multiple domain attributes on the clustering analysis of object based on factor space. The representation method of graphical domain attribute is proposed for the object, which is called attribute circle. An attribute circle can represent infinite domain attributes. The similarity analysis of objects is first based on the concept of attribute circle, and the definition of graphical similarity is transformed into the definition of numerical similarity, and then the clustering analysis method of object set is studied and improved. Considering three kinds of graphical overlap, the… More >

  • Open Access

    ARTICLE

    Evaluation of Industry Eco-Industrialization: Case Study of Shaanxi, China

    Shuru Liu1, Ping He1, Jiqiang Dang2

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 389-395, 2018, DOI:10.32604/csse.2018.33.389

    Abstract The rapid development of industry brings great pressure on resource and environment, forcing people to explore the road of ecological development. In China, the level of regional industry ecological development differs from each other due to different economic level of regions. This paper establishes ecoindustrialization index system from aspects of resource consumption, pollution emission, pollution abatement, economic and social development to reveal the connotation and characteristics of industry eco-industrialization, taking Shaanxi Province as an example, and adopts the principal component analysis to evaluate the industry eco-industrialization level of 2001-2015 in Shaanxi. The study shows that… More >

  • Open Access

    ARTICLE

    The Definition and Numerical Method of Final Value Problem and Arbitrary Value Problem

    Shixiong Wang1,∗, Jianhua He1, Chen Wang2, Xitong Li1

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 379-387, 2018, DOI:10.32604/csse.2018.33.379

    Abstract Many Engineering Problems could be mathematically described by FinalValue Problem, which is the inverse problem of InitialValue Problem. Accordingly, the paper studies the final value problem in the field of ODE problems and analyses the differences and relations between initial and final value problems. The more general new concept of the endpoints-value problem which could describe both initial and final problems is proposed. Further, we extend the concept into inner-interval value problem and arbitrary value problem and point out that both endpoints-value problem and inner-interval value problem are special forms of arbitrary value problem. Particularly, More >

  • Open Access

    ARTICLE

    Research on K Maximum Dominant Skyline and E-GA Algorithm Based on Data Stream Environment

    Wang Qi

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 369-378, 2018, DOI:10.32604/csse.2018.33.369

    Abstract With the continuous development of database technology, the data volume that can be stored and processed by the database is increasing. How to dig out information that people are interested in from the massive data is one of the important issues in the field of database research. This article starts from the user demand analysis, and makes an in-depth study of various query expansion problems of skylines. Then, according to different application scenarios, this paper proposes efficient and targeted solutions to effectively meet the actual needs of people. Based on k- representative skyline query problem More >

  • Open Access

    ARTICLE

    A Dynamic Online Protection Framework for Android Applications

    Junfeng Xu, Linna Zhou

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 361-368, 2018, DOI:10.32604/csse.2018.33.361

    Abstract At present, Android is the most popular Operating System (OS) which is widespreadly installed on mobile phones, smart TVs and other wearable devices. Due to its overwhelming market share, Android attracts the attentions from many attackers. Reverse Engineering technology plays an important role in the field of Android security, such as cracking applications, malware analysis, software protection, etc. In order to prevent others from obtaining the real codes and tampering them, this paper designs and implements a online dynamic protection framework by deploying dynamic anti-debugging technology for Android application with comprehensive utilization of encryption, dynamic More >

  • Open Access

    ARTICLE

    Prediction and Abnormality Assertion on Emu Brake Pad Based on Multivariate Integrated Random Walk

    Hongsheng Su1,2,∗, Shuangshuang Wang1, Dengfei Wang2

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 351-360, 2018, DOI:10.32604/csse.2018.33.351

    Abstract To better solve the issue with abnormal failure of electric motor unit (EMU) brake pad resulted from various random factors in the ever-changing operating environment, in this paper, a new evaluation method of performance prediction and abnormity decision is proposed based on the Multivariate integrated random walk (MIRW) model. In this method, the state space model of the EMU brake pad performance degradation is firstly established. And then based on the observed data, the brake pad performance degradation trend is extracted by the fixed interval forward - backward smoothing algorithm. Based on it, the future… More >

  • Open Access

    ARTICLE

    Liveness and Boundedness Preservations of Sharing Synthesis of Petri Net Based Representation for Embedded Systems

    Chuanliang Xia, Bin Shen, Hailin Zhang, Yigui Wang

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 345-350, 2018, DOI:10.32604/csse.2018.33.345

    Abstract Petri net based Representation for Embedded Systems (PRES+) is an outstanding methodology for analysis, modeling and verification of embedded systems. State space explosion is an awful problem for PRES+ to model and analyze large complex embedded systems. In order to solve this problem, we concern with a method for expending PRES+ model by using synthesis approach. A kind of sharing synthesis operation for PRES+ is proposed in this paper. Under some conditions liveness and boundedness will be preserved by using this sharing synthesis approach. An applicable example in the form of an embedded control system More >

  • Open Access

    ARTICLE

    Lateral Conflict Model of Training Flight Based on Subjective Factors

    Kaijun Xu, Yusheng Yao, Shanshan Li

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 335-344, 2018, DOI:10.32604/csse.2018.33.335

    Abstract The flight lateral conflict model which is based on human subjective factors has always been a research hotspot for training flight. In order to effectively evaluate the safety interval and lateral collision risk in training airspace, in this paper, pilot subjective factors were modeled. It was studied in lateral conflict risk of low altitude complex flight by flight performance shaping factor. By analyzing flight data of a flight training institution in China, it is pointed that the lateral collision risk in specific training airspace meets the requirement of safety target level of international civil aviation More >

  • Open Access

    ARTICLE

    Face Detection Method for Public Safety Surveillance based on Convex Grouping

    Jianhui Wu1,2, Feng Huang1,2, Wenjing Hu2,Wei He1,2, Bing Tu1,2, Longyuan Guo1,2, Xianfeng Ou1,2,*

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 327-334, 2018, DOI:10.32604/csse.2018.33.327

    Abstract Face detection is very important in video surveillance of public safety. This paper proposed a face detection method based on the best optimization convex grouping to detect the face regions from different face shape images at actual conditions. Firstly, the basic principle of convex grouping was discussed, the main rules of convex and the structure of the convex polygons was described. And then the best optimization convex grouping algorithm of the convex polygons was designed. At last, all of the algorithms, which used the best optimization convex grouping to detect the face region on the… More >

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