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International Conference on security, Pattern Analysis, and Cybernetics (SPAC)

作者： Renlong Chen Mingjun Liu Xueyan Gong Jinping Li School of Information Science and Engineering Shandong Provincial Key Laboratory of Network Based Intelligent Computing (University of Jinan) Shandong College and University Key Laboratory of Information Processing and Cognitive Computing in 13th Five-year Jinan China Qilu Institute of Technology Shandong Provincial Key Laboratory of Network Based Intelligent Computing (University of Jinan) Shandong College and University Key Laboratory of Information Processing and Cognitive Computing in 13th Five-year Jinan China

ISBN: (纸本)9781728105529

In binocular vision, the pixel matching of no obvious feature refers to the matching of pixels in the area where the gray value does not change significantly or in the area where there is no significant gradient change in the gray level. The basic idea is that the position of the matching pixels in the area with no obvious features can be determined by the peripheral feature points. First, the camera is calibrated by the chessboard calibration method, and the internal and external parameters of the camera are obtained. The distortion of the left and right images is corrected by the calibration results. Then, the SIFT algorithm is used to extract the feature points, the Euclidean distance threshold is set to determine the better matching points, and the random sample consensus (RANSAC) algorithm is used to eliminate the wrong matching points. Finally, four target matching points with the same distance and direction information are obtained, and the final target matching points are obtained by averaging the four target matching points. Experiments show that any pair of pixels in the unmarked area can be matched accurately.

关键词： Binocular vision Pixel matching with no obvious feature area SIFT RANSAC Peripheral feature points Binocular vision pixel Feature Points Sifting gray value Cameras

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Research on SDN Multi Controller Deployment based on K-means++

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Journal of Physics: Conference Series 2020年第1期1606卷

作者： Li Yue Chen Junyan Liang Chuxin Lei Xiaochun School of computer and information security Guilin University of Electronic Technology Guilin 541004 China Guangxi cloud computing and big data collaborative innovation center Guilin 541001 China Guangxi key laboratory of image and graphic intelligent processing Guilin 541004 China

In large-scale SDN network, a single centralized controller can not meet the demand, and multiple controllers are needed to deal with the problem, which leads to the problem of multi control balanced deployment. In this paper, the topology of SDN switches and links is known. The main research contents are as follows: the mathematical model of SDN multi controller deployment is established, and the appropriate network topology is selected and the multi controller deployment problem is solved. In the research, the number of controllers needed in the network and the switches managed by each controller is determined by the algorithm results, and the mapping relationship between controllers and switches is established. By analyzing the deployment results of the same network topology under different algorithms, the influence of different clustering algorithms on the experimental results is obtained. At the same time, the better deployment experiment results are simulated.

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A robust facial descriptor for face recognition

A robust facial descriptor for face recognition

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International Conference on Applications and Techniques in Cyber security and Intelligence, ATCSI 2017

作者： Liu, Na Duan, Huixian Song, Lei Yan, Zhiguo Cyber Physical System R&D Center The Third Research Institute of Ministry of Public Security Shanghai China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Shanghai International Technology and Trade United Co. Ltd Shanghai China

ISBN: (纸本)9783319670706

Illumination, occlusion, pose and expression variations are the most common challenging problems for face recognition in many real-world applications. However, existing face recognition methods are proposed to handle part of these variations. In this paper, we propose a robust facial descriptor to address this issue. First, we apply a chain of three processing to tackle the illumination variation. Second, we compute the facial sparse local descriptor to handle the occlusion, pose, and expression variations. Experimental evaluation on the FRGC database shows that our approach is able to achieve very promising recognition rates under uncontrolled environments. © 2018, Springer International Publishing AG.

关键词： Face recognition

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A speed estimation method of vehicles based on road monitoring video-images

A speed estimation method of vehicles based on road monitori...

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International Conference on Applications and Techniques in Cyber security and Intelligence, ATCSI 2017

作者： Huixian, Duan Jun, Wang Lei, Song Yixin, Zhao Liu, Na The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Cyber Physical System R&D Center The Third Research Institute of Ministry of Public Security Shanghai China Shanghai International Technology and Trade United Co. Ltd Shanghai China

ISBN: (纸本)9783319670706

In order to reduce traffic accidents and road congestion in many cities, vehicle speed estimation is very critical and important to observe speed limitation law and traffic conditions. In this paper, we present a speed estimation method of vehicles based on road monitoring video-images. Firstly, we set up a word coordinate system on the license plate in one vehicle image. Next, for small vehicles in China, according to the known length and width of the license plate, the spatial transformation matrix between the word coordinate system and the image coordinate system is derived. Then, based on the spatial transform matrix, compute the corner spatial coordinates of the license plate in each frame, and then estimate the vehicle speed. Finally, experimental results on read data have shown that the vehicle speed can be estimated within the acceptable error range (±3 km/h), and then have demonstrated the effectiveness of the proposed vehicle speed estimation method. © 2018, Springer International Publishing AG.

关键词： Speed

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A Cortex-M3-Based System-On-Chip Architecture for Wireless Communications in Power Grid

A Cortex-M3-Based System-On-Chip Architecture for Wireless C...

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IEEE Information technology and Mechatronics Engineering Conference (ITOEC)

作者： Yingying Chi Weilong Zhang Zhe Zheng Wenpeng Cui State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute Co. Ltd. State Grid Laboratory of Electric Power Communication Network Technology Beijing China

ISBN: (纸本)9781538653746

This paper presents a Cortex-M3-based system-on-chip (SoC) architecture designed for power-grid-dedicated wireless communication system based on IEEE 802.11ah protocol. The SoC is integrated with a 32-bit embedded microprocessor core using Thumb-2 instruction sets and multiple master/slave devices being compliable with advanced microcontroller bus architecture (AMBA) v2.0 protocol. Along with the various communication interfaces to make the chip more applicable, the whole system can accomplish data communication and processing in power grid applications with high performance and low cost.

关键词： System-on-chip Protocols Wireless communication Clocks SDRAM Microprocessors

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Research on Electric Micro-Meteorological Monitoring and Early Warning System

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Journal of Physics: Conference Series 2020年第1期1449卷

作者： Zhang, Zehao Yu, Zhen Xu, Xiyuan Cheng, Guan Zhang, Song Global Energy Interconnection Research Institute co. Ltd Research Institute of Information Technology & Communication Beijing 102206 China. State Grid Key Laboratory of Information & Network Security State Grid FuJian Electric Power co. LTD

This paper studies and analyzes the influence of micro-meteorological disasters on power system, points out the main problems in the establishment of power micro-meteorological monitoring and early warning system, puts forward the system architecture of power micro-meteorological monitoring and early warning system, which provides a reference for the establishment of power micro-meteorological monitoring and early warning system.

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Minimum length key in MST cryptosystems

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Science China(Information Sciences) 2017年第5期60卷 142-152页

作者： Haibo HONG Licheng WANG Haseeb AHMAD Yixian YANG Zhiguo QU School of Computer Science and Information Engineering Zhejiang Gongshang University Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology

As a special factorization category of finite groups, logarithmic signature(LS) is used as the main component of cryptographic keys that operate within secret key cryptosystems such as PGM and public key cryptosystems like M ST1, M ST2 and M ST3. An LS with the shortest length is called a minimal logarithmic signature(MLS) that constitutes of the smallest sized blocks and offers the lowest complexity, and is therefore desirable for cryptographic constructions. However, the existence of MLSs for finite groups should be firstly taken into an account. The MLS conjecture states that every finite simple group has an MLS. If it holds, then by the consequence of Jordan-H¨older Theorem, every finite group would have an MLS. In fact, many cryptographers and mathematicians are keen for solving this problem. Some effective work has already been done in search of MLSs for finite groups. Recently, we have made some progress towards searching a minimal length key for MST cryptosystems and presented a theoretical proof of MLS conjecture.

关键词： MLS conjecture finite groups (minimal) logarithmic signature minimum length key MST cryp tosystems

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A Performance Comparison of Big Data Processing Platform Based on Parallel Clustering Algorithms

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Procedia Computer Science 2018年 139卷 127-135页

作者： Mo Hai Yuejing Zhang Haifeng Li School of Information Central University of Finance and Economics Beijing 100081 China Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu 610054 China

The performance of three typical big data processing platform: Hadoop, Spark and DataMPI are compared based on different parallel clustering algorithms: parallel K-means, parallel fuzzy K-means and parallel Canopy. Experiments are performed on different text as well as numeric dataset and clusters of different scale. The results show that: (1) for the same data set, when the memory of each node is 4GB, DataMPI can achieve about 60% performance improvement compared with Hadoop, and can achieve about 32% performance improvement compared with Spark; (2) in order to obtain a high clustering performance, a cluster with 6 nodes and 6GB memory of each node should be selected.

关键词： Hadoop Spark DataMPI K-means fuzzy K-means Canopy

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An Improved Convolutional Neural network Algorithm for Multi-Label Classification

An Improved Convolutional Neural Network Algorithm for Multi...

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International Conference on Audio, Language and Image Processing, ICALIP

作者： Xinsheng Wang Lijun Sun Zhihua Wei Department of Computer Science and Technology Tongji University Shanghai China Research Center of Big Data and Network Security Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

Recent years conventional neural network(CNN) has been applied to different natural language processing(NLP) tasks such as sentence classification, sentence modeling, etc. Some researchers use CNN to do multi-label classification but their work mainly focus on image rather than text. In this paper, we propose an improved CNN via hierarchical dirichlet process(HDP) model to deal with the multi-label classification problem in NLP. We first apply an HDP model to discard some words which are less important semantically. Then we use word embedding methods to transform words to vectors. Finally, we train CNN based on word vectors. Experimental results demonstrate that our method is superior to most traditional multi-label classification methods and TextCNN in terms of performance.

关键词： Feature extraction Training Convolutional neural networks Natural language processing Vocabulary Transforms

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Implementing security-Enhanced PHR System in the Cloud using FAME

Implementing Security-Enhanced PHR System in the Cloud using...

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IEEE Global Communications Conference

作者： Zuobin Ying Wenjie Jiang Ximeng Liu Shengmin Xu School of Computer Science & Technology Anhui University Hefei China School of Electrical & Electronic Engineering Nanyang Technological University Singapore College of Mathematics & Computer Science Fuzhou University Fuzhou China Fujian Provincial Key Laboratory of Information Security of Network Systems Fuzhou University Fuzhou China School of Information Systems Singapore Management University Singapore

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Personal Health Record (PHR) plays an important role in realizing the exchange and interaction of medical information as well as in managing chronic diseases. In the recent decade, plenty of researches have been carried out to resolve the secure sharing issue of PHR in the cloud via access control schemes. Attribute-based Encryption (ABE) is a promising technique, which implements access control by introducing the access policy. When ABE is used to construct access control scheme in the cloud, hiding and updating access policy have always been two research hotspots. However, all of the existing solutions only consider one of these two issues separately. How to combine policy hiding and policy updating to achieve secure and efficient access control has always been avoided. Furthermore, the practical deployments of traditional ABE in the medical environment are limited by its small attribute universe. In this paper, we propose a policy hiding and updating ABE (PHU-ABE) based on the Fast Attribute-based Encryption (FAME) to tackle these challenges. We argue the security of PHU-ABE. The experimental results demonstrate that our scheme not only protects users' privacy but also realizes efficient policy updating.

关键词： Encryption Public key Access control Hospitals Diseases

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