Application of Improved Differential Evolution Algorithm in solving Container-packing problems
Design and Development of an Autonomous Ball Potting Robot for NERC Contest
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- Research and Design of Traffic Detection Based on GPRS
- A Selection Method of Evaluation Index for Uncertain Information System Based on Synthetic Algorithm
- Evaluation Model of The Lay-out of Sickbeds That Based on The Overall Satisfaction
- Information Technology Use and Accountants Satisfaction – A Survey of Manufacturing Firms
- An Improved Node Localization Algorithm Based on DV-HOP in WSN
- ECNP-based method of distributed dynamic task allocation for multiple observation satellite planning
- On Impact of Information Sharing in the Supply Chain Bullwhip Effect
- Filling the holes of 3D body scan line point cloud
- Measurement of flame temperature field distribution and Extraction of intensity grade
- Face Recognition with Supervised Spectral Regression And Multiple Kernel SVM
- An Effective Video Shot Boundary Detection Method Based on Supervised Learning
- Prediction of seawall foundation settlement based on the improved variable dimension fraction and artificial neural network model
- Evolutionary Game Analysis on Management of Knowledge Employee
- Discrimination between Idle and Work States in BCI based on SSVEP
- Model the Packet-Loss Dependent Effective Equipment Impairment Factor in Speech Quality Estimation in VoIP and Its Realization
- Logical OR Model of Variable Precision Upper Approximation Operator and Grade Lower Approximation Operator
- Auto Loan-Backed Securitization in China
Design and Development of an Autonomous Ball Potting Robot for NERC Contest 1Umar Farooq, 2Hammad Khan, 3Amber Mateen, 4Muhammad Amar, 5Muhammad Usman Asad, 6Asim Iqbal Department of Electrical Engineering University of The Punjab Lahore-54590 Pakistan 1engr.umarfarooq@yahoo.com, 2khan.hammad@live.com, 3bosons.1@hotmail.com, 4amar.ete611@yahoo.com, 5usmanasad01@hotmail.com, 6its.asimiqbal@gmail.com Abstract—In this paper, design and development of an autonomous ball potting robot for participating in National Engineering Robotics Contest (NERC) 2008 is presented. Equipped with infrared sensors, bump switches and potentiometers; all interfaced to AT89C52 microcontroller, the robot is capable of picking the balls from a ball stand and potting these balls into goal posts of different heights by navigating through a grid of white reflecting lines. Keywords-grid navigation; ball picking;ball potting;AT89C52 microcontroller;NERC contest Research and Design of Traffic Detection Based on GPRS Baohua Jin School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou, China jinbh@zzuli.edu.cn Dongyao Zou School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou, China zdypaper@sina.com Yong Gan School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou, China yongg@zzuli.edu.cn Abstract—This article raised the traffic detection and analysis program based on more and more data services in GPRS networks. By bringing in the traffic acquisition module, data analysis and processing module, database module and WEB terminal blocks, this article achieves the function of traffic collection, analysis and processing of the GPRS. Keywords- GPRS;Traffic acquisition;data analysis A Selection Method of Evaluation Index for Uncertain Information System Based on Synthetic Algorithm Chunyan Xia College of Materials Science and Engineering Jiamusi University Jiamusi 154007, China xiachunyan2000@yahoo.com.cn Jiang chang College of Mechanical Engineering Jiamusi University Jiamusi 154007, China Chang6121@163.com Yanjie Liu College of Architecture Engineering Heilongjiang University Harbin 150001, China lyj7171@sina.com Bing Yue College of Computer Science Heilongjiang University Harbin 150001, China qiuzhuzhe2006@126.com Abstract—Establishment of index system plays a crucial role in the course of uncertain information system evaluation. However, there is not a quantitative means on the problem of constructing the index system for uncertain information system. In order to solve these problems, a novel synthetic algorithm is put forward based on fuzzy set theory and grey relation analysis in this paper. Fuzzy membership degree is used to ascertain the importance of index by using of fuzzy set theory. At the same time, grey relation matrix is used to analysis the relativity of index. Moreover, the rationality and the dependability of index system are validated by using of validity coefficient and dependability coefficient. On base of it, the model of index selection is set up and applied in the index selection of alarm window on main control room of the nuclear power plant. Results of the case study prove that the proposed method is reasonable and feasible. Keywords-fuzzy set theory; grey relation analysis; index system; uncertain information; quantitative analysis
1Mathematical Modeling Innovative Practice Base, Zhuhai College Jinan University, Zhuhai, China 519070; 2 Finance Department, Jinan University, Zhuhai, China 519070; 544090635@qq.com 1Mathematical Modeling Innovative Practice Base, Zhuhai College Jinan University, Zhuhai, China 519070; 2Packaging Engineering Institute, Jinan University, Zhuhai, China 519070; *Corresponding author abiaoa@163.com 1Mathematical Modeling Innovative Practice Base, Zhuhai College Jinan University, Zhuhai, China 519070; 2 Administration Department, Jinan University, Zhuhai, China 519070; 731946105@qq.com 1Mathematical Modeling Innovative Practice Base, Zhuhai College Jinan University, Zhuhai, China 519070; 2Computer Department, Jinan University, Zhuhai, China 519070; 87604854@qq.com Abstract—By analyzing the factors which have impact on how the hospital arrange its sickbeds, this paper gives a evaluation index system about arranging the sickbeds and a evaluation model that based on the overall satisfaction of the patients and the hospital. From the perspective of patients, we consider their time, cost and the therapeutic effect, while from the viewpoint of the hospital, the analysis incorporates its social benefits and economic benefits. In conclusion, we apply the model to solve the problem B of China Undergraduate Mathematical Contest in Modeling in 2009.The work has provided a frame of reference and the improving direction to optimize the allocation of medical resources and strengthen the sickbeds management of hospitals. Key words: the lay-out of sickbeds; satisfaction; index system; evaluation model Optimal control based feedback linearization for position control of DC motor Morteza Moradi Ahmad Ahmadi Sara Abhari Islamic Azad University Faculty of Electrical Engineering Islamic Azad University South Branch Semnan University Qazvin Branch Tehran, Iran Semnan, Iran Qazvin, Iran mortezamoradi64@gmail.com Ahmad.Ahmadi82@gmail.com sara.abhari@hotmail.com Abstract— This paper proposes the position control of DC motor. Two methods are used for position control, LQR method and feedback linearization. We show that these methods without load torque are stable, but, when load is added to the motor's shaft, LQR and feedback linearization can not make efficient input signal for reference tracking in output. To solve this problem, we combined these methods and will show by using combined method, the position of shaft tracks reference in presence of large torque. For validation of new controller, we compared response with LQR and feedback linearization. Simulation results show stable response of new method. Keywords-DC motor; optimal control; nonlinear control; Information Technology Use and Accountants Satisfaction – A Survey of Manufacturing Firms Maria do Céu Gaspar Alves Business and Economics Department University of Beira Interior Covilhã - Portugal mceu@ubi.pt Abstract— The role of information technology (IT) in the business arena has continuously shifted over the last decades, and it has become an important part of how companies manage and control their resources. During the last years business computing has changed from these basic local data administrative systems into international computer networks, and as the sophistication of the computer systems increased, so did the investment cost. So, traditionally, companies tend to perceive their IT-systems as costs, often due to IT being looked at as a support function. And user satisfaction in IT usage is critical because this construct is often viewed as a surrogate for IT success. The purpose of this paper is to contribute to the body of knowledge about to what extent IT affects the ability to solve accounting tasks. We will measure the impact of IT on user satisfaction and on accounting information use. The relationship between IT and accounting practices was investigated quantitatively using a postal survey. The findings suggest that user satisfaction in IT usage, the use of accounting techniques and accounting information increases with new IT investments. Keywords- Accountants, Accounting Information Systems, Decision-making, Information Technology, Management Information System. An Improved Node Localization Algorithm Based on DV-HOP in WSN Guo Qing GAO and Lin LEI School of Automation Engineering University of Electronic Science and Technology of China Chengdu, 611731, P.R.China david.gao84@gmail.com, leilin@uestc.edu.cn Abstract—Efficient sensor node localization algorithm is a research highlight in the applications of wireless sensor networks (WSN). An event information with few node location information is meaningless in practical application. The number and density of nodes shared by unknown-distance node pair are applied to establish close degree model in the paper. The close degree model is also combined with the triangle similarity theory to propose a mathematical model to calculate the distance of single-hop and multi-hop nodes. The simulation results show that the normalized localization error of the improved algorithm is smaller than the conventional DV-HOP algorithm. Keywords- wireless sensor network; localization; least square method; DV-HOP; CDDV-HOP ECNP-based method of distributed dynamic task allocation for multiple observation satellite planning Cheng Si-wei ，Chen Jing，Shen Lin-Cheng,Tao Yi College of Electromechanical Engineering and Automation, National University of Defense Technology Changsha, Hunan , China cswlss@yahoo.com Abstract—A extended contract net protocol(ECNP) is introduced to solve the dynamic task allocation for multiple satellites collaborative planning system(MSCPS) in which the environment and capabilities of each Agent can dynamically change with time. Acquaintance's trusts based announcing bidding, adaptive bidding with swarm intelligence and multi-attribute decision based fuzzy evaluation bidding method are proposed in ECNP; Experiment results show ECNP can decrease communication cost and balance energy cost, hence solve task allocation effectively. Keywords- extended contract net protocol; multi-satellite planning; acquaintance's trusts; swarm intelligence ; mixed Multi-Attribute decision
Cheng-dong Shi School of Electrical and Electronic Engineering Shandong University of Technology Zibo, Shandong,255091,China School of Business Administration Xi’an University of Technology Xi, an, Shaanxi, 710048,China scd0211@163.com Dun-xin Bian School of Electrical and Electronic Engineering Shandong University of Technology Zibo, Shandong, 255091,China dxbian@163.net Abstract—Based on APIOBPCS model, and treating forecast tache as an integral part of the supply chain, also transforming the traditional supply chain serial structure through information sharing, and adopting the methods of control-engineering based on transformation and bullwhip effect measurement, the paper studied the impact of information sharing on the bullwhip effect of three-tier supply chain network which was comprised of manufacturer - distributor - retailor. The simulation results show that information sharing can reduce bullwhip effect, but it can not eliminate bullwhip effect. Finally, through discussing the impacts of logistics delay time parameters and the first-order exponential smoothing forecasting parameters on bullwhip effect, the measures to be used to weaken bullwhip effect is given. Keywords- information sharing; bullwhip effect; supply chain; exponential smoothing forecast Filling the holes of 3D body scan line point cloud Xiaozhi Li 1, 2 Xiaojiu Li 1, 2 1. School of Art and Clothing 2. Key Laboratory for Advanced Textile Composite of Ministry of Education Tianjin Polytechnic University, TJPU Tianjin, P. R. China E-mail: shelly_lixz@yahoo.cn E-mail: lixiaojiu02@yahoo.com.cn
Keywords-3D body measurement, scan line point cloud, body model, fill holes, removing overlapping points, point data reduction, fitting curve, cubic parametric spline Measurement of flame temperature field distribution and Extraction of intensity grade Rongbao Chen Institute of electrical and automation Hefei University of Technology Hefei, China crbwish@126.com Ji Qi Institute of electrical and automation Hefei University of Technology Hefei, China qj-happy@163.com Yanhao Lin Institute of electrical and automation Hefei University of Technology Hefei, China 125983120@163.com Jing Tao Institute of electrical and automation Hefei University of Technology Hefei, China taojing0504@yahoo.com Abstract—The furnace inner temperature is an important parameter, it is important characteristic index the boiler inner burns process and the gas discharging. Analyzed the CCD camera measuring mechanism, built the mathematical model of calculating burning temperature field from flame image, deduced and built tricolor temperature measuring model. At the same time, it introduces the way of extraction of flame intensity grade. Experiments and simulations show that the way getting combustion temperature field from flame image has more high measurement precision and bright prospect industrial application. It is a fundamental work for the operation of the burner hearth optimized and automatic control. Keywords - image processing; flame temperature image; flame intensity grade; Face Recognition with Supervised Spectral Regression And Multiple Kernel SVM Yongliang Xiao School of Information Science and Engineering Central South University Changsha, Hunan Province, China Department of Information Management Hunan College of Finance and Economics Changsha, Hunan Province, China xylroc@gmail.com Limin Xia and Wei Zhang School of Information Science and Engineering Central South University Changsha, Hunan Province, China
Keywords-face recognition; supervised learning; spectral regression; multiple kernel learnin; SVM. An Effective Video Shot Boundary Detection Method Based on Supervised Learning Yongliang Xiao Department of Information Management Hunan College of Finance and Economics Changsha, Hunan Province, China xylroc@gmail.com Abstract—Video shot boundary detection plays an every important role in video processing. It is the first step toward video content analysis and content-based video retrieval. We develop a novel approach for video shot boundary detection based on supervised learning. Our method consists in first extracting video frame feature using a supervised kernel non-locality preserving projections, then video frames are split into abrupt transitions, gradual transitions or normal frames using two cascaded Localized-SVM classifiers. Experimental results show the effectiveness of our method. Keywords-shot boundary detection; supervised learning; Non-locality preserving projections; SVM Prediction of seawall foundation settlement based on the improved variable dimension fraction and artificial neural network model Qin Peng
Department of Hydraulic Engineering Zhejiang Water Conservancy and Hydropower College Hangzhou, China qinpeng@zjwchc.com Qin Zhihai Department of Civil Engineering Zhejiang Water Conservancy and Hydropower College Hangzhou, China qinzhh@zjwchc.com
Keywords- improved variable dimension fractal; artificial neural network； seawall; settlement; prediction Evolutionary Game Analysis on Management of Knowledge Employee Haishu Lu, Li You, Lin Tang, Yunqing Yu School of Economics and Management Jiangsu Teachers University of Technology Changzhou 213001, China luhaishu@126.com Abstract—At present, by using qualitative methods, many scholars studied their motivation mechanisms and analyzed their motivation factor and processes from the perspective of behavior and psychology, but attempts to consider the interaction among the knowledge employees, between the knowledge employees and the enterprises have been very few. So, this paper establishes two evolutionary game models for studying motivation mechanisms of the knowledge employees under the assumptions that the enterprises and the knowledge employees all have bounded rationality. By using replicator dynamics equations, this paper analyses the strategy choice on the interaction between the knowledge employees and the enterprises, among the knowledge employees, and furthermore, discusses the evolutionary stability strategies of the knowledge employees and the enterprises. Keywords-evolutionary game; replicator dynamics equations; motivation mechanism; knowledge employees Discrimination between Idle and Work States in BCI based on SSVEP Niya Wang, Tianyi Qian, Qing Zhuo, Xiaorong Gao Tsinghua University Beijing, China Abstract—We present a novel method for idle and work states classification in brain computer interface (BCI) based on steady-state visual evoked potentials (SSVEP). Canonical correlation analysis (CCA) and maximum contrast combination (MCC) are used to extract features of electroencephalogram (EEG) signals. The correlation coefficients from CCA and SNR from MCC were classified by a linear classifier. Then an extra strategy of excluding alpha wave interference helped improve the classification accuracy. This method had a good performance in real EEG signals. Keywords-Brain Computer Interface; Canonical Correlatoin Analysis; Maximum Contrast Combination; Alpha Wave Detection Model the Packet-Loss Dependent Effective Equipment Impairment Factor in Speech Quality Estimation in VoIP and Its Realization LIU Jiao-jiao WEI Gang Dept of Electronic and Information Dept of Electronic and Information South China University of Technology South China University of Technology Guangzhou, China Guangzhou, China jjliu@scut.edu.cn ecgwei@scut.edu.cn Abstract—Packet loss limits the speech quality of voice over IP and the effect is described with the packet-loss dependent effective equipment impairment factor in E-model. The existing model of the factor is associated with the speech codec and limited to the network with low loss burst Ratio. With the experiments, this paper tries to find the variables in the relation with the speech quality over packet-loss network, and introduces the loss location and the distribution of the loss in burst into the model of the factor with the neural network. Compared with different models with different input parameters, the experiment results show a great prediction gain in the trained model combined with one packet loss and voice loss rate. The model can be used to predicate the speech quality in live combined with the E-model. Keywords- speech quality estimation; E-model; the packet-loss dependent effective equipment impairment factor; packet-loss pattern; VoIP Logical OR Model of Variable Precision Upper Approximation Operator and Grade Lower Approximation Operator Xianyong Zhang College of Mathematics and Software Science Sichuan Normal University, SICNU Chengdu, Sichuan 610068, P. R. China xianyongzh@sina.com.cn Abstract—Precision and grade are two important quantitative indexes. This paper is to combine precision and grade, and explore new extended rough set model. Based on logical OR requirement of precision and grade, this paper proposes logical OR model of variable precision upper approximation operator and grade lower approximation operator. In the new model, basic structure and properties are obtained by transformation formulas between variable precision approximations and grade approximations, furthermore regular algorithm and structural algorithm are proposed and analyzed. Finally a practical example is given to illustrate the model and the algorithms. The new model has extended variable precision rough set model, graded rough set model and classical rough set model, and so these models have obtained corresponding properties of approximation operators. Keywords-artificial intelligence; rough set theory; logical operation; approximation operator; variable precision rough set; graded rough set; precision; grade; structural algorithm Auto Loan-Backed Securitization in China Xu Feng Zhao Long Research Center of Financial Engineering Research Center of Financial Engineering South China University of Technology South China University of Technology Guangzhou，China Guangzhou，China E-mail: maplexu@scut.edu.cn E-mail:zl0358@yahoo.com.cn Abstract-This paper analyzes the principle of asset-backed securitization of Auto Loan and studies the implementation details of the securitization through analysis of Auto Loan Backed Securitization Project of General Motor (China). Conclusions were made that it is feasible to carry out auto loan-backed securitization in China. With the development of intermediate agencies and regulations, auto loan-backed securitization will provide financial support to the consumers as well as a new instrument to investors in China. Keywords-Asset-Backed Securitization; SPV; Auto Loan; China 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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