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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： Shuo Wen Yuan Xue Jing Xu Hongji Yang Xiaohong Li Wenli Song Guannan Si College of Computer and Control Engineering Nankai University Tianjin China Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA Centre for Creative Computing Bath Spa University Bath United Kingdom School of Information Science and Electrical Engineering Shandong Jiaotong University Shandong China

Access control is an extremely important and error-prone practice during web application. The emergence of NoSQL databases and the flexible data models they bring impose new challenges on the implementation of access control within web applications. This paper presents Scout, a novel methodology for discovering access control vulnerabilities in existing web applications. Meanwhile (1) features of NoSQL database can be addressed and (2) neither application source code nor server-side session information from the developers is required. This paper implements a prototype of Scout, which targets MongoDB backend web applications. By automatically discovering the protocol layer in the web application stack, Scout introduces a data access operation model precisely representing the MongoDB actions performed in the web application, as well as inferring the access control policies. The prototype is shown to be able to identify comprehensive access control vulnerabilities in MongoDB backend web applications, and generate detailed report as the facilitator to manually fix the identified vulnerabilities.

关键词： Access control Data models Electronic mail Blogs Indexes Protocols

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ACCELERATE CONVOLUTIONAL NEURAL NETWORKS FOR BINARY CLASSIFICATION VIA CASCADING COST-SENSITIVE FEATURE

ACCELERATE CONVOLUTIONAL NEURAL NETWORKS FOR BINARY CLASSIFI...

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IEEE International Conference on Image Processing

作者： Junbiao Pang Huihuang Lin Li Su Chunjie Zhang Weigang Zhang Lijuan Duan Qingming Huang Baocai Yin Beijing Key Laboratory of Multimedia and Intelligent Software Technology China School of Computer and Control Engineering University of Chinese Academy of Sciences China School of Computer Science and Technology Harbin Institute of Technology at Weihai China College of Computer Science and Technology Beijing University of Technology China

ISBN: (纸本)9781467399623

Convolutional Neural Networks (CNNs) have delivered impressive state-of-the-art performances for many vision tasks, while the computation costs of these networks during test-time are notorious. Empirical results have discovered that CNNs have learned the redundant representations both within and across different layers. When CNNs are applied for binary classification, we investigate a method to exploit this redundancy across layers, and construct a cascade of classifiers which explicitly balances classification accuracy and hierarchical feature extraction costs. Our method cost-sensitively selects feature points across several layers from trained networks and embeds non-expensive yet discriminative features into a cascade. Experiments on binary classification demonstrate that our framework leads to drastic test-time improvements, e.g., possible 47.2× speedup for TRECVID upper body detection, 2.82× speedup for Pascal VOC2007 People detection, 3.72× for INRIA Person detection with less than 0.5% drop in accuracies of the original networks.

关键词： Neural networks Convolution Acceleration Optimization Upper bound computers computer science

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Statistics local fisher discriminant analysis for industrial process fault classification

Statistics local fisher discriminant analysis for industrial...

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UKACC International Conference on control (control)

作者： Xiaogang Deng Xuemin Tian Sheng Chen Chris J. Harris College of Information and Control Engineering China University of Petroleum Qingdao China Electronics and Computer Science University of Southampton Southampton UK King Abdulaziz University Jeddah Saudi Arabia

In order to effectively identify industrial process faults, an improved Fisher discriminant analysis (FDA) method, referred to as the statistics local Fisher discriminant analysis (SLFDA), is proposed for fault classification. For mining statistics information hidden in process data, statistics pattern analysis is firstly applied to transform the original measured variables into the corresponding statistics, including second-order and higher-order ones. Furthermore, considering the local structure characteristics of fault data, local FDA (LFDA) is performed which computes the discriminant vectors by modifying the optimization objective with local weighting factor. Simulation results on the benchmark Tennessee Eastman process show that the proposed SLFDA has a better fault classification performance than the FDA and LFDA methods.

关键词： Matrix decomposition Principal component analysis Fault diagnosis Feature extraction Higher order statistics Optimization Monitoring

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Self-adaptive based cooperative coevolutionary algorithm for large-scale numerical optimization

International Journal of Control and Automation

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International Journal of control and Automation 2015年第8期8卷 261-272页

作者： Zhang, Qianli Xue, Yu Zhao, Xueliang Shang, Xiangang Li, Qiqiang School of Control Science and Engineering Shandong University Jinan China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China College of Information and Engineering Taishan Medical University Taian China

The scalability performance of the traditional evolutionary algorithms (EAs) deteriorates rapidly as the dimensionality of the optimization problems increases. Therefore, cooperative coevolutionary (CC) framework is proposed to overcome the defect. Different from existing CC algorithms, a novel self-adaptive based cooperative coevolutionary (SaCC) algorithm is presented in this paper. The SaCC employs three algorithms which with self-adaptive mechanism as sub-algorithms. The focus of this paper is on investigating two different cooperative coevolutionary manners. In the first manner, SaCC executes its sub-algorithms in parallel during evolve process and the corresponding algorithm is termed as SaCC-M1. In the second manner, SaCC executes its sub-algorithms in serial and the corresponding algorithm is termed as SaCC-M2. 26 test functions with 1000 dimensionalities are employed to verify the validity of SaCC-M1 and SaCC-M2. Experiment results demonstrate that SaCC-M2 outperforms its sub-algorithms and SaCC-M1. Besides, the results indicate that serial manner is another simple yet efficient manner for CC algorithms to solve large-scale global optimization problems. © 2015 SERSC.

关键词： Evolutionary algorithms

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BCISeach: A Searching Platform of Breast Cancer Text Mining for Biomedical Literature

BCISeach: A Searching Platform of Breast Cancer Text Mining ...

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Lejun Gong Ronggen Yang Haoyu Yang Kaiyu Jiang Zhenjiang Dong Hong Chen Geng Yang College of Computer Science & Technology Nanjing University of Posts and Telecommunication Nanjing China Faculty Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing China Zhongxing Telecommunication Equipment Corporation Shenzhen China

ISBN: (纸本)9781509047963

In this paper, we introduced a searching platform called BCISearch, a web-portal for the collection of molecular information linked to breast cancer using text mining technology including two types of information: static and dynamic information, involving with six categories entities and their relationships: protein, DNA, RNA, Cell-type, Cell-line, Virus. BCISearch could search 248997 Proteins, 71358 DNA, 7724 RNA, 58891 Cell-line, 871 Virus, 31698 Cell-type. The BCISearch Experimental approach is promising for develop biomedical text mining technology. The BCISearch would assist researcher to understand breast cancer etiology in genetic factors. The searching platform is available at http://210.28.186.168:8080/BCISearch.

关键词： Breast cancer Text mining Proteins Protein engineering Communications technology Data visualization

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MoS2 heterostructure with tunable phase stability: Strain induced interlayer covalent bond formation

arXiv

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arXiv 2017年

作者： Ouyang, Bin Xiong, Shiyun Yang, Zhi Jing, Yuhang Wang, Yongjie National Center for Supercomputing Applications University of Illinois at Urbana-Champaign UrbanaIL61801 United States Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou JiangSu215123 China College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan ShanXi030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan ShanXi030024 China Department of Astronautical Science and Mechanics Harbin Institute of Technology Harbin Heilongjiang150001 China Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical Engineering and Computer Engineering University of Michigan Ann ArborMI48109 United States

Due to the distinguished properties offered by different structural phases of monolayer MoS2, phase engineering design are urgently required for achieving switchable structural phase. Strain engineering is widely accepted as a clean and flexible method, however, can not be achieved in engineering monolayer MoS2 phase transition because the critical biaxial strain required (~15%) is much larger than measured elastic limit (~11%). In this study, employing density functional theoretical calculations, it has been found out that with the forming of heterostructure between MoS2 with buckled 2D materials such as silicence, germanene and stanene, only a small strain can trigger the phase transition. As being suggested by the constructed phase stability diagram, biaxial deformation as low as 3% in MoS2/silicene and MoS2/stanene sandwich structure, would be sufficient to induce the structural phase transition in MoS2 lattice. This strain falls well within experimental elastic limit, thus would be feasible to realize in experiment. The origin of such behavior can be understood as strain induced interlayer covalent bond formation, which finally make MoS2 lattice more sensitive to external strain. This theoretical work provides one realistic route for achieving flexible phase stabilities in experimental design. Copyright © 2017, The Authors. All rights reserved.

关键词： Molybdenum compounds

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A Parallel Gaussian Elimination for Jacobian Calculation in Magnetotelluric Occam Inversion Algorithm

A Parallel Gaussian Elimination for Jacobian Calculation in ...

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International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Yi Xiao Pengdong Gao Qiu Chu Yongquan Lu Yu Liu College of Computer Science Communication University of China Beijing China Key Laboratory of Media Audio and Video Communication University of China Beijing China College of Mechanical and Control Engineering Guilin University of Technology Guilin China

ISBN: (纸本)9781509007691

A parallel Gaussian elimination algorithm for Jacobian matrix calculation is designed to accelerate the MT Occam algorithm. The gaussd progress calculates the column matrix which is build by receivers' data. The parallel gaussd process is based on the original Gaussian parallel algorithm. The back substitution equation has been transformed to increase the elements in parallel area. By storing the primary row of coefficient matrix and RJ matrix to shared memory, memory accessing time is reduced. The parallel gaussd is implemented in CUDA FORTRAN. Using the gauss and gaussd parallel algorithms together can reduce the data transform between GPU and host. The highest speedup of parallel gaussd is 22. It greatly improves the efficiency of Jacobian matrix calculation in MT Occam algorithm.

关键词： Jacobian matrices Algorithm design and analysis Instruction sets Graphics processing units Acceleration Receivers

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Matrix flat splicing systems 11th

Matrix flat splicing systems

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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Ceterchi, Rodica Pan, Linqiang Song, Bosheng Subramanian, K.G. Faculty of Mathematics and Computer Science University of Bucharest 14 Academiei Street Bucharest010014 Romania School of Electric and Information Engineering Zhengzhou University of Light Industry ZhengzhouHenan450002 China Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology WuhanHubei430074 China Department of Mathematics Madras Christian College Chennai600059 India

ISBN: (纸本)9789811036101

In dealing with the problem of modelling DNA recombination, the operation of splicing on linear and circular strings of symbols was introduced. Inspired by splicing on circular strings, the operation of flat splicing on a pair of strings (u, v) was considered. This operation involves "cutting" u at a specified position and "inserting" v into it, with v having a pre-specified prefix as well as suffix defined by a flat splicing rule. In this work, we consider a well-known technique in formal language theory, known as "matrix of rules", and introduce matrix of flat splicing rules and thus define matrix flat splicing system (MFSS). Some results on the language generative power of MFSS are provided. An application of MFSS in the generation of chain code pictures is also pointed out. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Formal languages

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Special Issue on Unsupervised Feature Learning for Vision

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IET computer VISION 2015年第5期9卷 627-628页

作者： Zhang, Shengping Zhang, Baochang Ye, Qixiang School of Computer Science and Technology Harbin Institute of Technology Weihai China Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing China Institute of Advanced Computer Studies (UMIACS) University of Maryland College Park United States

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Design of an Online BCI System Based on CCA Detection Method 34

Design of an Online BCI System Based on CCA Detection Method

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第三十四届中国控制会议

作者： LIN Dongxue TAN Jeffrey Too Chuan ZHU Chi DUAN Feng College of Computer and Control Engineering NanKai University Institute of Industrial Science University of Tokyo Department of System Life Engineering Maebashi Institute of Technology

ISBN: (纸本)9781467374439

Recently, more and more SSVEP(steady-state visual evoked potential) based BCIs(brain-computer interfaces) are developed to control external devices such as robots and wheelchairs. There have been many different methods for detecting the presence of SSVEPs. In this paper, CCA(canonical correlation analysis) detection method and PSD(power spectral density) detection method are compared in offline experiments. Results show that CCA has a much better performance than PSD. Therefore, CCA detection method is used in the online SSVEP-based BCI system with three targets. Three subjects participated to control a virtual wheeled robot in SIGVerse simulation environment. All of the subjects were able to use this BCI system and achieving an average accuracy of 89.8%, 95.6%, 92.5% respectively.

关键词： Brain-computer interface,steady-state visual evoked potential,canonical correlation analysis,power spectral density,SIGVerse

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