Application of Improved Differential Evolution Algorithm in solving Container-packing problems
Prediction of differential-mode EMI in the AC Side of the Three-phase PWM rectifier
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- The Research on the Regularization of Flow Nets
- A Novel Algorithm of Coherent Integration for Moving Target Detection
- Adaptive Digital Predistortion based on MC-FQRD-RLS Algorithm using Indirect Learning Architecture
- Vehicle stability sliding mode control based on RBF neural network
- Online Prediction-Based Dynamic Cluster Configuration for Energy Conservation
- Probability Estimation based Adaptive Media Playout Algorithm
- Multi-UAV Formation Maneuvering Control Based on Q-Learning Fuzzy Controller
- Location Privacy in Sparse Environment
- Correction and Data Processing for Tooth Surface Deviation of Hypoid Gear
- Study on chaotic sequence and RS sequence for underwater communication
- Design and Implementation of Embedded Indoor Intelligent Temperature Control System
- An Improved Channel Coding Scheme Based on Turbo-BICM for IBOC-AM
- An Improved Implementation Scheme Based on BICM for IBOC-AM
- Research on Fault Location System of Aircraft Cable Based on principle of least squares solution
- A Novel Security Risk Assessment Model for Information System
- Human-Machine Interface Evaluation Method Based on Grey Interval Relation Membership Degree
- Design and Development of an Image Processing Based Automatic Library Storage System
Prediction of differential-mode EMI in the AC Side of the Three-phase PWM rectifier Kexin Wei, Haimei Zhang, Bin Liang, Mingxing Du,Guozhen Gao Department of Electrical Engineering, Tianjin University of Technology, Tianjin, 300384, China zhmkx@163.com
Key words—power electronics; PWM rectifier; differential-mode EMI; saber The Research on the Regularization of Flow Nets Guorong Cao, Qingping Tan, Jingang Xie, Hao Wu College of Computer Science, National University of Defense Technology, Changsha, China {guorong.cao, eric.tan.6508, jingang.xie, hao.wu}@gmail.com Abstract Regular flow nets, extended from Petri nets and YAWL, have been proposed as bases for modeling web service behavior because of their abilities for dealing with cyclic behavior and data dependences among services. However, the corresponding approach on how to regularize flow nets into regular flow nets has not been given yet. So, in this paper we propose a methodology for the regularization of flow nets. Firstly, we introduce concepts related to flow nets and regular flow nets. Secondly, we define one pattern for each type flow net, and based on these patterns we can get the corresponding regular flow nets of almost all of flow nets through regularization. Finally, some special patterns that might not be regularized together with a particular example are discussed. A Novel Algorithm of Coherent Integration for Moving Target Detection WANG Yao
Department of Computer Science and Communication Engineering Southwest Jiaotong University Sichuan, China e-mail: wangyao7841@tom.com WANG Shan Department of Electronic information engineering Sichuan University Sichuan, China wangshan_0808@yahoo.cn
Keywords- coherently integration; LFM signal; multi-target detection; high-speed moving target detection Adaptive Digital Predistortion based on MC-FQRD-RLS Algorithm using Indirect Learning Architecture You Li, Xiaolin Zhang School of Electronic and Information Engineering Beihang University Beijing, China Doctorly911@sohu.com zxl@buaa.edu.cn Abstract—Multichannel fast QR decomposition recursive least-squares (MC-FQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. There are tow distinct ways to obtain the expended input vector, sequential-type method, and block-type one. The latter one, despite exhibiting a higher computational burden as compared to the former one, has some attractive features, e.g., suitability for parallel implementation. Predistortion techniques for linearizing power amplifier (PA) nonlinearity with indirect learning architecture (IDLA) are widely used. The benefit of the IDLA leaves unnecessary the assumption of a model for PA, corresponding parameters estimation and inverse construction. In this paper we present a new technique for predistortion using block-type MC-FQRD-RLS algorithm with IDLA, in which the predistorter is constructed by simplified volterra model. Simulations results verify that the proposed techniques have good convergence property. Keywords- predistortion; MC-FQRD-RLS Algorithm; block-type; IDLA; volterra model Vehicle stability sliding mode control based on RBF neural network Zhang Jinzhu Harbin University of Engineering Harbin, China zjz6301@126.com Zhang Hongtian The Power and energy college Harbin University of Engineering Harbin, China Abstract—According to the nonlinear and parameter time-varying characteristics of vehicle stability control, a sliding control algorithm is proposed based on radial base function (RBF) neural network. The algorithm not only can reduce the chattering caused by the conventional sliding mode, but also improve the robust of the adaptive neural network control. The simulation results show the algorithm ensures that the car could run at the direction desired by the drivers. Keywords- radial base function；neural network; vehicle stability; nonlinearity Online Prediction-Based Dynamic Cluster Configuration for Energy Conservation Bin Liu，Jian Yang Department of Automation University of Science and Technology of China，USTC Hefei, China e-mail: mobileice@mail.ustc.edu.cn, jianyang@ustc.edu.cn Yu Zhao Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS) Shanghai, China e-mail: yu.zhao@mail.sim.ac.cn Abstract—Dynamic cluster configuration is dynamically adjusting the servers scale based on the network load in order to achieve optimal service performance under the minimum system power consumption. In previous methods, they adopted adjustment methods based on the specific physical experimental model without the description of mathematical models. This paper presents a prediction-based dynamic clusters configuration strategy, it uses least mean square (LMS) algorithm to predict service requests in the future according to the historical information of service requests, and then on the basis of the load requests and the cluster processing power to decide the servers scale and dynamically adjust the opening and shutdown of the computers in the clusters. Simulation verifies the feasibility and superiority of the scheduling strategy. Keywords-server clusters; dynamic clusters configuration; prediction algorithm; LMS; energy conservation Probability Estimation based Adaptive Media Playout Algorithm Mingna Fan, Jian Yang Department of Automation University of Science and Technology of China, USTC Hefei, China e-mail: fmnwen93@mail.ustc.edu.cn, jianyang@ustc.edu.cn Yu Zhao
Shanghai Institute of Microsystem and Information Technology (SIMIT) Chinese Academy of Sciences (CAS) Shanghai, China e-mail: yu.zhao@mail.sim.ac.cn Abstract—An adaptive media playout algorithm based on probability estimation is proposed to reduce the video playout jitter and playout halt caused by buffer underflow. It adjusts the duration of each frame according to the channel state and the estimated probability of underflow and overflow. Also it controls the playout rate range and the variation of the playout rate of the consecutive video frames to achieve the purpose of eliminating buffer outage and smoothing the video playout speed at the same time. Simulation results demonstrate that as compared to other AMP schemes, the proposed algorithm provides better visual quality with reasonable complexity in reducing the probability of buffer underflow and reducing the playout latencies and smoothing the visual perception. Keywords-Probability Estimation;Sliding Window;Adaptive Media Playout Multi-UAV Formation Maneuvering Control Based on Q-Learning Fuzzy Controller Pang Rui
School of Automation, Northwestern Polytechnical University, Xi’an, China University of Sydney, Sydney，NSW, Australia pangrui517@gmail.com Abstract: On the basis of the relative motion relations of the formation flight, UAV longitudinal and lateral fuzzy controllers are designed to solve the multi-UAV formation control problem. The relative positions between adjacent UAVs are controlled to meet the desired commands and performance requirements. Q-Learning method, which is one kind of reinforcement learning, is used to tune the corresponding parameters in output membership functions of fuzzy controller. This auto-tuning avoids the complexity of manual tuning with expert experience and eliminates the steady state errors. Also, different conditions including coordinative turning, tense-loose shape changing, shape sequence changing and collision avoiding are simulated with the formation control methodology, which is comprised of centralized decision and decentralized control. The results prove the correctness of control method and formation control strategy under the circumstances of different formation maneuvering demands. Key Words: Reinforcement learning, Q-learning, fuzzy control, UAVs, Formation Flight, Maneuvering Read and Reply Behaviors in a BBS Social Network Fei Ding Key Laboratory of Communication and Information Systems (Beijing Jiaotong University) Beijing Municipal Commission of Education Beijing 100044, China Email: 02211279@bjtu.edu.cn Yun Liu Key Laboratory of Communication and Information Systems (Beijing Jiaotong University) Beijing Municipal Commission of Education Beijing 100044, China Email: liuyun@bjtu.edu.cn Hui Cheng Key Laboratory of Communication and Information Systems (Beijing Jiaotong University) Beijing Municipal Commission of Education Beijing 100044, China Email: 07111013@bjtu.edu.cn Fei Xiong Key Laboratory of Communication and Information Systems (Beijing Jiaotong University) Beijing Municipal Commission of Education Beijing 100044, China Email: 07120126@bjtu.edu.cn Xia-meng Si Key Laboratory of Communication and Information Systems (Beijing Jiaotong University) Beijing Municipal Commission of Education Beijing 100044, China Email: 05120329@bjtu.edu.cn Bo Shen Key Laboratory of Communication and Information Systems (Beijing Jiaotong University) Beijing Municipal Commission of Education Beijing 100044, China Email: bshen@bjtu.edu.cn Abstract—Understanding user’ read and reply behaviors are important both for the study of online social network properties and the modeling of information dissemination and trend prediction. Our dataset is crawled from a famous Chinese BBS social network. By analyzing the read and reply datas of users, we observe that distributions of discussion size and user participation level follow the power-law distribution, agreeing with former empirical and analytical investigations. But the distribution of user interest does not exhibit a power-law property. Statistics from hot posts show that read and reply behaviors vary among different topic categories. For every 100 users interested in a post, one or two of them in average would join the discussion. In addition, investigation concerning time property of replies shows that decay functions with periodical fluctuations are suitable to describe the short-term evolution. Keywords-online social networks, data analysis, user behavior,BBS. Location Privacy in Sparse Environment Heng Liu, Tiejun Wang, Ming Sun, Zhen Liu and Mingtian Zhou School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu, Sichuan, China Email:{noza.liu,wtj.uestc}@gmail.com,{sunm,quake,mtzhou} @uestc.edu.cn Abstract—Privacy of personal location information is becoming an increasingly important issue. This paper develops new methods for location privacy in sparse environment based on dummy users. The true user has been mixed with a set of dummy users in that LBSs can’t distinguish the true user so as to protect user location privacy. We present two techniques, the first one is called “dummy user trigger algorithm”, which is able to achieve the balance of user’s Location privacy and system performance, and the second one is named “dummy user generation algorithm” based on the period density matrix which enhances the truthfulness of dummy user. Keywords-pervasive computing; Location privacy; dummy user; Location-aware system Correction and Data Processing for Tooth Surface Deviation of Hypoid Gear Tianxing Li School of Mechatronics Northwestern Polytechnical University Xi’an, China ly_litianxing@163.com Tianxing Li, Xiaozhong Deng and Bingyang Wei School of Mechatronics Engineering Henan University of Science & Technology Luoyang, China ly_litianxing@163.com Abstract—The correction and the data processing for tooth surface deviation of hypoid gear are a key link to the realization of the digitized closed loop manufacture. Based on one-dimensional probe, the method of error compensation for hypoid gears is studied. By means of the principle of the proportional correction of spiral bevel gears, the theory and the method of the automatic compensation and feedback correction to machine tool settings are investigated according to the measuring data. Without the human intervention, the correction of machine tool settings can be automatically completed. And 1 to 3 trial cuts, the tooth surface deviations can meet the design requirement. Finally, the correction of machine tool settings and the contact pattern test of tooth surfaces have been carried out. All these verify that the approaches of the correction and the data processing are feasible and accurate. Keywords-one-dimensional probe; hypoid gears; measurement of tooth surface deviation; automatic correction; digitized closed loop manufacture
Chen Sheng, Cheng En, Yuan Fei Key Lab of Underwater Acoustic Communication and Marine Information Technology Xiamen University Xiamen, China chengen@xmu.edu.cn Abstract
Design and Implementation of Embedded Indoor Intelligent Temperature Control System LI Xin-chun College of Electronic and Information Engineering Liaoning Technical University Huludao, China e-mail: lixinchun63@sina.com ZHAO Shuang-hua College of Electronic and Information Engineering Liaoning Technical University Huludao, China e-mail: hailang989@163.com GAO Ming-ming College of Electronic and Information Engineering Liaoning Technical University Huludao, China e-mail: gaomingming2080@163.com Abstract—To characteristics and shortcomings of winter heating system in north China, the paper designed the indoor intelligent temperature control system.based on ARM-Linux platform of embedded systems and fuzzy control technology. Using DS18B20 and ZigBee wireless networking technology, completed the collection of multi-point temperature. Using fuzzy control technology to achieve precise control of room temperature. And the establishment of the QT user interface optimized the environment of human-computer interaction, brought great convenience to the user. With the implementation measurement heating, system will play an important role to reducing energy waste and the user's heat expenses and improving people's quality of life. Keywords-adaptive fuzzy control; ARM-Linux; Zigbee; QT An Improved Channel Coding Scheme Based on Turbo-BICM for IBOC-AM Fang Weiwei, Yang Gang, Li Jianping School of Information Engineering Communication University of China Beijing, China e-mail: 541764418@163.com, Gangy@cuc.edu.cn, turbo_code@163.com Abstract—Hybrid in-band on-channel (IBOC) broadcasting system is a scheme of digital audio radio, which could transmit analog AM and digital audio simultaneously. In IBOC systems, broadcasters transmit signals within the allocated channel bands, thus the bandwidth assigned for digital audio transmission is very limited. BICM can improve BER performance over Rayleigh fading channels without bandwidth expansion, thus it is widely used in mobile-radio channels. It has been found that by using BICM, an IBOC-AM broadcasting system can yield a better coding gain. Turbo-BICM, the combination of turbo encoder and BICM, is known as a remarkable scheme with high coding diversity and high flexibility. In this paper, an improved channel coding scheme based on turbo-BICM is proposed to achieve better reliability compared with the conventional IBOC system. Simulation results show that the proposed scheme can effectively improve the receiving performance of an AM IBOC system. When BER is below 10-5, the improved coding scheme can achieve more than 4dB code gains over Rayleigh fading channels. Keywords- IBOC AM; in-band on-channel; turbo; BICM; Rayleigh fading channels An Improved Implementation Scheme Based on BICM for IBOC-AM Liu Shuyang，Yang Gang，Li Jianping School of Information Engineering Communication University of China Beijing, China e-mail : maymonica2000@sina.com, Gangy@cuc.edu.cn, turbo_code@163.com
Abstract—This paper proposes an improved channel coding scheme based on bit-interleaved coded modulation (BICM) for in-band on-channel amplitude modulation (IBOC-AM). It can yield better coding gains than traditional scheme over Rayleigh fading channels. Generally, BICM embedded LDPC code for IBOC (BICM-L) has better coding performances than BICM embedded convolutional codes for IBOC (BICM-C), which has been proved to be an advanced scheme. However, there is a zone named blind-zone existing in the region of SNRs, where the performance gains of BICM-L with high-order modulation are worse than BICM-C. To achieve an improved performance, for the blind-zone， BICM-L is replaced by BICM-C in this improved scheme. Simulation results confirm that, by using the proposed improved scheme, a better performance gains up to 0.3 dB can be achieved for the blind-zone between 4 dB SNR and 5.1 dB SNR, while an additional gains about 4 dB can be achieved in regions of high SNRs. Keywordss—In-band on-channel (IBOC), bit-interleaved coded modulation (BICM), low density parity check (LDPC) codes，convolutional codes.
1 College of Electrical Engineering Yanshan University Qinhuangdao, HeBei, China 2 College of Aeronautical Automation Civil Aviation University of China TianJin, China 3 College of Astronautics Northwestern Polytechnical University XiAn, ShanXi, China e-mail:missxiaolin1997@163.com Abstract—In this paper, based on the electric theory of distribution parameter circuit, a mathematical model of aircraft cable fault location is created. The least squares solution is selected as the control algorithm because it has been applied successfully to parameter estimation. An aircraft cable fault location system is designed and the experimental results show that the system is rational and effective. Keywords- Aircraft cable； Mathematical model； Least square estimation； Fault location system
School of Information Engineering Capital Normal University Beijing, 100037, China lvhy999@163.com Abstract—Security defense against threats is very important to information system. A novel security risk assessment model is presented. In this model, an information system consists of a series of network nodes, which have three elements: assets, rights and vulnerabilities. To analyze the relevance between vulnerabilities, an algorithm for intrusion path discovery is proposed centralized on assets. By investigating the intrusion paths found, the system risk is quantitatively evaluated on vulnerabilities, nodes, assets, or system, which indicates the risk situation of the system. A simulation experiment and results verify availability and effectiveness of the model. Keyword: information security; model; risk assessment; vulnerability
Chunyan Xia 1’2 1College of Mechanical & Electrical Engineering Harbin Engineering University Harbin 150001, China 2College of Materials Science & Engineering Jiamusi University Jiamusi 154007, China xiachunyan2000@yahoo.com.cn
Keywords-grey relation analysis; membership degree; Human-machine interface; uncertin information; interval number Design and Development of an Image Processing Based Automatic Library Storage System 1Umar Farooq, 2Hammad Khan, 3Muhammad Usman Asad, 4Amber Mateen, 5Asim Iqbal, 6Hassan Mahmood Department of Electrical Engineering University of The Punjab Lahore-54590 Pakistan 1engr.umarfarooq@yahoo.com, 2khan.hammad@live.com, 3usmanasad01@hotmail.com, 4bosons.1@hotmail.com, 5its.asimiqbal@gmail.com, 6hassan_3md@yahoo.com Abstract—This paper describes the design and development of an image processing based automatic storage system for library. The prototype system comprises of a cartesian robot, two infrared sensors, a four channel motor interface board, a web camera and a PC. After the book has been detected by the infrared sensors, camera captures the image of front cover of the book. The title of the book is extracted and passed to the search engine of library database. The database returns the class and location of the book which is then placed automatically in the corresponding shelf with the help of a cartesian robot, a mechanical structure driven by three direct current (DC) motors. MATLAB® programming environment has been used in developing the system. Keywords- library storage;infrared sensors;digital camera; image processing;cartesian robot Directory: meeting -> webmedia -> jingpin meeting -> Iea shcp/pvps working Group on pv/t solar Systems meeting -> Office of the collector: jagatsinghpur (st & sc development Section) meeting -> World meteorological organization meeting -> WG/hwsor action item summary (Current as of 28 Feb 2013) meeting -> Review of the past hurricane season meeting -> Review of the past hurricane season reports of hurricanes, tropical storms, tropical disturbances and related flooding during meeting -> Town of seabrook island meeting -> World meteorological organization jingpin -> Modis-based Inner Mongolia Grassland Snow-Cover Mapping Download 1.34 Mb. Share with your friends:
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