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2017年第二届可靠性工程国际会议

作者： Shuo Cai Fei Yu Yiqun Yang School of Computer and Communication Engineering Changsha University of Science and Technology Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and Technology

As the feature size of CMOS transistors scales down, single event transient（SET） has been an important consideration in designing logic circuits. Many researches have been done in analyzing the impact of SET. However, it is difficult to consider numerous factors. We present a new approach for analyzing the SET pulses propagation probabilities（SPPs）. It considers all masking effects and uses SET pulses propagation probabilities matrices（SPPMs） to represent the SPPs in current cycle. Based on the matrix union operations, the SPPs in consecutive cycles can be calculated. Experimental results show that our approach is practicable and efficient.

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Trajectory data privacy protection based on differential privacy mechanism

Trajectory data privacy protection based on differential pri...

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2017年第二届可靠性工程国际会议

作者： Ke Gu Lihao Yang Yongzhi Liu Niandong Liao School of Computer and Communication Engineering Changsha University of Science and Technology Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and Technology

In this paper, we propose a trajectory data privacy protection scheme based on differential privacy mechanism. In the proposed scheme, the algorithm first selects the protected points from the user’s trajectory data;secondly, the algorithm forms the polygon according to the protected points and the adjacent and high frequent accessed points that are selected from the accessing point database, then the algorithm calculates the polygon centroids;finally, the noises are added to the polygon centroids by the differential privacy method, and the polygon centroids replace the protected points, and then the algorithm constructs and issues the new trajectory data. The experiments show that the running time of the proposed algorithms is fast, the privacy protection of the scheme is effective and the data usability of the scheme is higher.

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A multidimensional space based fault-tolerant control system design method for commercial aircraft

A multidimensional space based fault-tolerant control system...

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CSAA/IET International Conference on Aircraft Utility Systems, AUS 2018

作者： Wang, Jun Wang, Shaoping Wang, Xingjian Tomovic, Mileta M. Shi, Cun School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data-based Precision Medicine Beihang University Beijing100191 China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou310027 China Engineering Technology Department Old Dominion University NorfolkVA United States

ISBN: (纸本)9781785617911

The fault-tolerant control techniques can maintain the safety of aircraft under fault conditions. Different strategies should be used to response to specific fault conditions according to the fault diagnosis information. To improve the fault-tolerant control design efficiency, this paper propose a multidimensional space based method, the flight/actuation system is divided and modeled by using the multidimensional space first, and then operator norm is used to map and quantize the fault information, finally, the decision making algorithm is designed to match the fault-tolerant control strategies to specific fault conditions. © 2018 IET Conference Publications. All rights reserved.

关键词： Decision making

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Research on Mining Global Maximal Frequent Itemsets for Health big data 3rd

Research on Mining Global Maximal Frequent Itemsets for Heal...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Bo He Jianhui Pei School of Computer Science and Engineering ChongQing University of Technology Key Laboratory of Statistical information technology and data mining State Statistics BureauChengDu University of Information Technology Guizhou Key Laboratory of Power Big Data Guizhou Institute of Technology

Traditional mining algorithms did not suit mining of global maximal frequent ***,a new mining algorithm of global maximal frequent itemsets for health big data,namely,NMAGMFI algorithm

ISBN: (纸本)9781509053643;9781509053636

Traditional mining algorithms did not suit mining of global maximal frequent ***,a new mining algorithm of global maximal frequent itemsets for health big data,namely,NMAGMFI algorithm

关键词： Itemsets data mining Frequency modulation big data Algorithm design and analysis Information technology

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AN INTERACTIVE LOGISTICS CENTRE INFORMATION INTEGRATION SYSTEM USING VIRTUAL REALITY

AN INTERACTIVE LOGISTICS CENTRE INFORMATION INTEGRATION SYST...

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The ISPRS Technical Commission III Midterm Symposium on "Developments, Technologies and Applications in Remote Sensing"

作者： S.Hong B.Mao College of Information Engineering Collaborative Innovation Centre for Modern Grain Circulation and SafetyJiangsu Key Laboratory of Grain Big-data MiningNanjing University of Finance & Economics

The logistics industry plays a very important role in the operation of modern cities. Meanwhile, the development of logistics industry has derived various problems that are urgent to be solved, such as the safety of logistics products. This paper combines the study of logistics industry traceability and logistics centre environment safety supervision with virtual reality technology, creates an interactive logistics centre information integration system. The proposed system utilizes the immerse characteristic of virtual reality, to simulate the real logistics centre scene distinctly, which can make operation staff conduct safety supervision training at any time without regional restrictions. On the one hand, a large number of sensor data can be used to simulate a variety of disaster emergency situations. On the other hand, collecting personnel operation data, to analyse the improper operation, which can improve the training efficiency greatly.

关键词： Logistics Centre Virtual Reality Video Surveillance Eye Tracking Logistics Traceability Semantically Labelled data

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Identifying significant edges via neighborhood information

arXiv

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arXiv 2019年

作者： Zhao, Na Li, Jie Wang, Jian Li, Tong Yu, Yong Zhou, Tao Key Laboratory in Software Engineering of Yunnan Province School of Software Yunnan University Kunming650091 China Electric Power Research Institute of Yunnan Power Grid Kunming650217 China College of Information Engineering and Automation Kunming University of Science and Technology Kunming650504 China School of Big Data Yunnan Agricultural University Kunming650201 China CompleX Lab University of Electronic Science and Technology of China Chengdu611471 China

Heterogeneous nature of real networks implies that different edges play different roles in network structure and functions, and thus to identify significant edges is of high value in both theoretical studies and practical applications. We propose the so-called second-order neighborhood (SN) index to quantify an edge's significance in a network. We compare SN index with many other benchmark methods based on 15 real networks via edge percolation. Results show that the proposed SN index outperforms other well-known methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Solvents

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Gestational Diabetes Mellitus Prediction Based on Two Classification Algorithms

Gestational Diabetes Mellitus Prediction Based on Two Classi...

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International Congress on Image and Signal Processing, BioMedical engineering and Informatics (CISP-BMEI)

作者： Weiyang Zhong Shanxi Jiang Wei Wu Danhong Peng Tian Xu Jun Wang Gongdao Wang Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Nanjing PR China China Tower Corporation Limited Nantong Branch PR China Key Laboratory of Environment Medicine and Engineering Ministry of Education School of Public Health Southeast University Nanjing PR China Zhongda Hospital Southeast University NanjingSchool of Science China Pharmaceutical University Nanjing PR China

Gestational diabetes mellitus (GDM) is a disease with normal glucose tolerance before pregnancy and only diabetes during pregnancy. The discovery of GDM has a long history. The specific causes and mechanisms of its occurrence are still unclear. There is a lack of research on intelligent diagnosis of GDM. GDM has many adverse effects on pregnant women and fetuses, which is of great significance for the early diagnosis of GDM. Based on the measured data of the hospital, this paper realizes the intelligent diagnosis of GDM by using a improved KNN algorithm and a improved BP neural network.

关键词： Classification algorithms Training Neural networks Diabetes Pregnancy Genetic algorithms Sociology

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Study of the High-tech Process Mechanical Integrity and Electrical Safety

Study of the High-tech Process Mechanical Integrity and Elec...

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International Microsystems, Packaging, Assembly and Circuits Technology (IMPACT)

作者： Kuo-Chi Chang Kai-Chun Chu Tsou-Li Chen Yueh-Lung Ward Lee Yuh-Chung Lin Trong-The Nguyen Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou China Department of Business Administration Group of Strategic Management of National Central University Taoyuan City 320 Taiwan Department of Information Technology Applications of National Quemoy University Quemoy 89250 Taiwan Management science and Engineering of University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (数字)9781728160702

ISBN: (纸本)9781728160719

The mechanical integrity of the process machine is one of the provisions of the High-Hazard Chemical Process Safety Management Act promulgated by the US federal government. This study gradually reviewed the integrity of each process machine and factory supply system to improve the safety level. The primary focus is to understand the critical equipment and its related hazard characteristics, this must be cut from the process machine, from the power supply system, monitoring system, gas or chemical supply systems, reactors etc. to understand their possibilities of high temperature, leakage poisoning, corrosion, fire, explosion, electric shock, coiling and other hazards, and finally obtain the results of risk assessment for management use in high-tech factory. However, this study explores the focus of the safety and mechanical integrity of the process equipment, from identifying the critical equipment and hazard characteristics applicable to the equipment integrity plan of the future machine to the well-written mechanical integrity insurance plan, which can be used in practice.

关键词： Fires Chemicals Production facilities Maintenance engineering Explosions

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Recovery and repair schemes for shift-XOR regenerating codes

arXiv

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arXiv 2019年

作者： Fu, Ximing Yang, Shenghao Xiao, Zhiqing School of Science and Engineering Chinese University of Hong Kong Shenzhen China University of Science and Technology of China China School of Science and Engineering Chinese University of Hong Kong Shenzhen Guangdong518172 China Shenzhen Key Laboratory of IoT Intelligent Systems and Wireless Network Technology Chinese University of Hong Kong Shenzhen Guangdong518172 China Shenzhen Research Institute of Big Data Shenzhen Guangdong518172 China Tsinghua University

Recovery and repair schemes are proposed for shift-exclusive-or (shift-XOR) product-matrix (PM) regenerating codes, which outperform those of the existing PM codes in terms of both communication and computation costs. In particular, for the minimum bandwidth regenerating (MBR) codes, our recovery and repair schemes have the optimal transmission bandwidth, zero decoding auxiliary data space and lower time complexity;for the minimum storage regenerating (MSR) codes, our recovery and repair schemes have smaller transmission bandwidth, smaller decoding auxiliary data space and lower time complexity. Moreover, our schemes involve only XOR operations in recovery and repair and are practical for system implementation. Technically, a procedure is first proposed for solving a system of shift-XOR equations, which plays a similar fundamental role as Gaussian elimination for solving systems of linear equations, and is of independent interest. The recovery and repair of shift-XOR MBR/MSR codes are then decomposed into a sequence of systems of shift-XOR equations, and hence can be solved by a sequence of calls to the procedure for solving a system of shift-XOR equations. As the decomposition of the recovery and repair depends only on the PM construction, but not the specific shift and XOR operations, our recovery and repair schemes can be extended to other MBR/MSR codes using the PM construction. Copyright © 2019, The Authors. All rights reserved.

关键词： Matrix algebra

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An incremental mining algorithm for global maximum frequent itemsets based on health big data 2

An incremental mining algorithm for global maximum frequent ...

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2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC 2017)

作者： Bo He Jianhui Pei Hongyuan Zhang School of Computer Science and Engineering ChongQing University of Technology Key Laboratory of Statistical information technology and data mining State Statistics Bureau ChengDu University of Information Technology Guizhou Key Laboratory of Power Big Data Guizhou Institute of Technology

ISBN: (纸本)9781509064151;9781509064144

The global maximum frequent itemsets need to be updated because of incremental distributed database. On the base of the fast mining algorithm for global maximum frequent itemsets, an incremental mining algorithm for global maximum frequent itemsets based on health big data was proposed, namely,IMAGMFI algorithm. Firstly, the global frequent items were ***, the FP-tree was reconstructed by incremental distributed database. Third, the global maximum frequent itemsets of incremental distributed database were mined. Last,the global maximum frequent itemsets were gained by the strategy of top-down. The experimental results show that IMAGMFI algorithm is effective.

关键词： FP-tree Global Maximum Frequent Itemset Increasing Mining Algorithm

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