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International Conference on Computational Intelligence and Security

作者： Guo Xie Minying Ye Xinhong Hei Jinwei Zhao Fucai Qian Xi'an University of Technology Xi'an China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an China

Taking into account that the present popular methods, such as the judgement of the axle failure based on temperature threshold, and the early warning of axle based on real-time temperature analysis, cannot analyze the changing of performance trends, a health state analysis method for the axle of high-speed train based on long-term temperature monitoring data is proposed in this paper, which including the following main steps: (1) Preprocessing of the original data to correct the singular zero value and complement the missing values, (2) Smoothing of the processed data in order to automatically extract the beginning and end points of every temperature rising stage of axles, (3) Establishment of the calculation method of temperature rising rate, and evaluating the health sate of axles based on the temperature rising rate. Finally, the proposed method is validated based on the data from a test line, the results demonstrate the effectiveness and practicability of the method.

关键词： Axles Temperature distribution Aging Safety Data mining Fault diagnosis Monitoring

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Array P systems with parallel rewriting and tables of context-free rules

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Journal of Computational and Theoretical Nanoscience 2016年第6期13卷 3636-3642页

作者： Pan, Linqiang Song, Bosheng Isawasan, Pradeep Subramanian, K.G. School of Electric and Information Engineering Zhengzhou University of Light Industry Zhengzhou Henan450002 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan Hubei430074 China 32 Jalan Anson Penang10400 Malaysia Department of Mathematics and Computer Science Faculty of Science Liverpool Hope University LiverpoolL16 9JD United Kingdom

The two areas of picture languages and membrane computing were linked by array-rewriting P system in which array objects and context-free array-rewriting rules are used in order to generate picture languages. While rewriting arrays in the array-rewriting P system is in a sequential manner, parallel array P system (PAP) involves rewriting of arrays in the regions in parallel in order to generate picture languages. A variant of PAP, known as tabled array P system (TPAP), uses sets of context-free array-rewriting rules, called tables of rules. Generative power of TPAP in comparison with PAP and certain other kinds of picture array generating mechanisms are investigated. Copyright © 2016 American Scientific Publishers. All rights reserved.

关键词： Context free languages

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Idea creation of creative computing based on embedding features and ontology 2016

Idea creation of creative computing based on embedding featu...

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3rd Multidisciplinary International Social Networks Conference, MISNC 2016, 5th ASE International Conference on Social Informatics, SocialInformatics 2016 and 7th ASE International Conference on Data Science, DS 2016

作者： Zhang, Fuquan Mao, Zijing Ding, Gangyi Zhang, Rui Lai, Junjiang School of software Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Ji Yuan Ju Yuan Jin Shan Fuzhou Fujian350121 China Department of Electrical Engineering University of Texas at San Antonio One UTSA Circle San AntonioTX78249 United States Software Building Beijing Institute of Technology 5 South Zhongguancun Street Haidian Beijing100081 China Department of Mathematics Minjiang University Fuzhou No.150 Binzhou Road Jin Shan Fuzhou Fujian350108 China

ISBN: (纸本)9781450341295

This paper used clustering to embed features and use ontology to simulate the process of idea creation from human brain. All the technologies are applied on the frame of creative computing. We are try to display the emergence, the self-organization, the self-coordination of idea creation process of human brain. By creative computing we will try to discover how the idea coming from step by step. From this paper, you will see the process in five steps from blurry motivation to clear creative idea. © 2016 ACM.

关键词： Ontology

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Distributed Cooperative Coverage of Mobile Robots with Consensus-Based Connectivity Estimation

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Journal of Shanghai Jiaotong university(Science) 2014年第3期19卷 279-286页

作者：李晓丽赵曙光刘浩 School of Information Science and Technology Donghua University Key Laboratory of System Control and Information Processing of Ministry of Education

This paper deals with the discrete-time connected coverage problem with the constraint that only local information can be utilized for each robot. In such distributed framework, global connectivity characterized by the second smallest eigenvalue of topology Laplacian is estimated through introducing distributed minimal-time consensus algorithm and power iteration algorithm. A self-deployment algorithm is developed to disperse the robots with the precondition that the estimated second smallest eigenvalue is positive at each time-step. Since thus connectivity constraint does not impose to preserve some certain edges, the self-deployment strategy developed in this paper reserves a sufficient degree of freedom for the motion of robots. Theoretical analysis demonstrates that each pair of neighbor robots can finally reach the largest objective distance from each other while the group keeps connected all the time, which is also shown by simulations.

关键词： coverage distributed cooperative control minimal-time consensus eigenvalue estimation

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Moving target detection in the cepstrum domain for passive coherent location(PCL) radar

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Frontiers of information Technology & Electronic Engineering 2015年第9期16卷 785-795页

作者： Ji-chuan LI Xiao-de LU Hui ZHANG Peng-cheng YANG Yu LIU Mao-sheng XIANG Science and Technology on Microwave Imaging Laboratory Institute of Electronics Chinese Academy of Sciences University of Chinese Academy of Sciences Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of ElectronicsChinese Academy of Sciences

A cepstrum moving target detection （CEPMTD） algorithm based on cepstrum techniques is proposed for passive coherent location （PCL） radar systems. The primary cepstrum techniques are of great success in recognizing the arrival times of static target echoes. To estimate the Doppler frequencies of moving targets, we divide the radar data into a large number of seg- ments, and reformat these segments into a detection matrix. Applying the cepstrum and the Fourier transform to the fast and slow time dimensions respectively, we can obtain the range information and Doppler information of the moving targets. Based on the CEPMTD outlined above, an improved CEPMTD algorithm is proposed to improve the detection performance. Theoretical analyses show that only the target＇s peak can be coherently added. The performance of the improved CEPMTD is initially vali- dated by simulations, and then by experiments. The simulation results show that the detection performance of the improved CEPMTD algorithm is 13.3 dB better than that of the CEPMTD algorithm and 6.4 dB better than that of the classical detection algorithm based on the radar cross ambiguity function （CAF）. The experiment results show that the detection performance of the improved CEPMTD algorithm is 1.63 dB better than that of the radar CAF.

关键词： Moving target detection Cepstrum techniques Cross ambiguity fimction （CAF） Passive coherent location （PCL）radar

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Cover Feature: Ultrasensitive, Sustainable, and Selective Electrochemical Hydrazine Detection by ALD-Developed Two-Dimensional WO3(ChemElectroChem 2/2018)

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ChemElectroChem 2017年第2期5卷

作者： Zihan Wei Zhenyin Hai Mohammad Karbalaei Akbari Prof. Jie Hu Lachlan Hyde Prof. Stephen Depuydt Prof. Francis Verpoort Prof. Serge Zhuiykov Ghent University Global Campus Department of Applied Analytical & Physical Chemistry 119 Songdomunhwa-ro Yeonsu-gu Incheon South Korea Micro and Nano System Research Center Key Lab of Advanced Transducers and Intelligent Control System (Ministry of Education) & College of Information Engineering Taiyuan University of Technology Taiyuan 030024 Shanxi PR China Factory of the Future Swinburne University of Technology Hawthorn Australia National Research Tomsk Polytechnic University Lenin Avenue 30 634050 Tomsk Russian Federation Laboratory of Organometallics Catalysis and Ordered Materials State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Chemical and Material Engineering Wuhan University of Technology Wuhan P.R. China

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Taxi Operation Optimization Based on Big Traffic Data

Taxi Operation Optimization Based on Big Traffic Data

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Qiuyuan Yang Zhiqiang Gao Xiangjie Kong Azizur Rahim Jinzhong Wang Feng Xia School of Software Dalian University of Technology Dalian China Ministry of Education Key Laboratory of System Control and Information Processing Shanghai China

ISBN: (纸本)9781467372121

Motivated by the remarkable improvement of information and communication technologies, along with the rapid progress of urbanization, smart city has become a novel brand. By mining big traffic data generated by widely deployed GPS devices and sensors in modern cities, we can unlock the knowledge of human mobility patterns and social functional regions, and then apply it to tackle critical problems in city construction. One of the tough issues is the paradoxical situation in urban traffic control and management, which is the empty carrying phenomenon for taxi drivers and the difficulty of taking a taxi for passengers. In the paper, we propose a data-driven taxi operation strategy to maximize drivers' profit, reduce energy consumption, and decrease environment pollution. Specifically, we capture social properties of functional areas through integrating, processing and analyzing the big traffic data. Later, we introduce the Time-Location-Sociality model which can identify three dimensional properties of city dynamics to predict the number of passengers in different social functional regions. Furthermore, we recommend Top-N areas for drivers according to the prediction outcomes, which introduce more profitable opportunities to pick up passengers. We conduct extensive experiments using the real GPS data generated by 12,000 taxis during 10 weekdays and 8 weekends in Beijing, and achieve prediction accuracies of 90.14% on weekdays and 86.37% at weekends respectively, which implies the effectiveness of our optimizing taxi operation strategy by considering the three dimensional properties.

关键词： Public transportation Vehicles Trajectory Sensors Smart cities Global Positioning system

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Design of Constrained Predictive control system for 4-DOF Manipulator with Flexible Beam Frame

Design of Constrained Predictive Control System for 4-DOF Ma...

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第26届中国过程控制会议（CPCC2015）

作者： WANG Naiqian LI Dewei XI Yugeng ZHANG Xiaoying Liu Bin Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai Jiao Tong University Nanchang Hangkong University

This paper focuses on a 4-DOF manipulator with flexible beam frame. Due to the performance requirements of rapidity and stability, the model predictive control algorithm is adopted to make trajectory planning in joint space. Meanwhile, the motor characteristic is taken in consideration in form of constrains for MPC. While a tracking controller based on optimization algorithm is applied to calculate corresponding control actions. The control scheme is tested in MATLAB platform, and the simulation results demonstrate the effectiveness of the proposed predictive control method on the manipulator.

关键词： Manipulator Flexible Beam Model Predictive control Anti-shake Trajectory Planning

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TAPRank: A Time-Aware Author Ranking Method in Heterogeneous Networks

TAPRank: A Time-Aware Author Ranking Method in Heterogeneous...

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IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

作者： Xiangjie Kong Jinmeng Zhou Jun Zhang Wei Wang Feng Xia Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China School of Software Dalian University of Technology Dalian China

Measuring the impact of authors can not only be a good guidance for new researchers, but also provide a standard for academic foundations and awards. Heterogeneous networks can capture more information about the interactions between entities and they are more and more widely used for the measurement of author impact. However, most of the existing researches take all the papers into the networks as equal, although they have different importance levels. In this paper, we propose a new model: TAPRank, which calculates author impact in author-paper network with considering the PageRank scores of papers for the first time. The PageRank algorithm is implemented in paper citation network, taking the time of publication of each paper into consideration. In addition, the experiments on DBLP dataset show a better performance of TAPRank than other state-of-the-art models.

关键词： Heterogeneous networks Indexes Position measurement Current measurement Standards Publishing Mathematical model

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A New Logistic Map Based Chaotic Biogeography-based Optimization Approach for Cluster Analysis

A New Logistic Map Based Chaotic Biogeography-based Optimiza...

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2016 IEEE International Conference on Progress in Informatics and Computing

作者： Shui-Hua Wang Hui-Min Lu Yu-Jie Li Yang Wang Zhi-Min Chen Yu-Min Wei Wen-Juan Jia Fang-Yuan Liu Yu-Dong Zhang School of Computer Science and Technology Nanjing Normal University Hunan Provincial Key Laboratory of Network Investigational Technology Hunan Policy Academy Department of Electrical Engineering The city college of New YorkCUNY Department of Mechanical and Control Engineering Kyushu Institute of Technology School of Information Engineering Yangzhou University School of Physics and Electronic Engineering Taizhou University School of Electronic Information Shanghai Dianji University School of Energy and Mechanical Engineering Nanjing Normal University Key Laboratory of Intelligent Computing and Information Processing in Fujian Provincial University Quanzhou Normal University

Cluster analysis is important in scientific and industrial fields. In this study, we proposed a novel chaotic biogeography-based optimization(CBBO) method, and applied it in centroid-based clustering methods. The results over three types of simulation data showed that this proposed CBBO method gave better performance than chaotic particle swarm optimization, genetic algorithm, firefly algorithm, and quantum-behaved particle swarm optimization. In all, our CBBO method is effective in centroid-based clustering.

关键词： chaotic biogeography-based optimization cluster analysis centroid-based clustering simulation particle swarm optimization

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