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2012 International Conference on Computer Science and Service System, CSSS 2012

作者： Wu, Hao Wang, Huiying Li, Huaiying Jiang, Miao School of Management Hefei University of Technology India Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei 230009 China

ISBN: (纸本)9780769547190

In data stream mining, sliding window can record the latest and most useful patterns, but the best size can not be accurately determined. To aim at data with the characteristics of data flow in some simulation systems, this paper proposes a method for mining the closed frequent patterns in the mixed window of data stream. The pattern of data stream could be completely recorded by scanning the stream only once. And the pruning method of T-Moment could reduce the space complexity of sliding window tree and the maintenance cost of the closed frequent patterns tree. To differentiate the historical and the latest patterns, a time decaying model was applied. The experimental results show that the algorithm has good efficiency and accuracy. © 2012 IEEE.

关键词： Forestry

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Short-term power load forecasting based on self-adapting PSO-BP neural network model

Short-term power load forecasting based on self-adapting PSO...

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4th International Conference on Computational and Information Sciences, ICCIS 2012

作者： He, Yaoyao Xu, Qifa School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei 230009 China

ISBN: (纸本)9780769547893

To resolve the problem of short-term power load forecasting, we propose a self-adapting particle swarm optimization (PSO) algorithm to optimize the error back propagation (BP) neural network model. The proposed model is called PSO-BP model which employs PSO to adjust control parameters of BP neural network. In order to verify the performance of PSO-BP, the practical datum of a city in China are selected in the experiments. Simulation results show that our approach outperforms simple BP neural network. © 2012 IEEE.

关键词： Neural network models

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An Empirical Study on Personality Characteristics of College Volunteers: Based on the Collected Data from Shanghai Expo

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Procedia - Social and Behavioral Sciences 2013年 83卷 969-974页

作者： Ya-di Gu Dong-xiao Gu Qing Wei Shen Pan Wen-en Chen Yi Ge Students’ Affairs Division at University of Shanghai for Science and Technology Shanghai200093 P.R. CHINA School of Management at Hefei University of Technology Hefei Anhui230009 P.R. CHINA School of Foreign Studies at Hefei University of Technology Hefei Anhui230009 P.R. CHINA Engineering Research Center of Intelligent Decision-Making and Information System Technology of Ministry of Education of China Hefei Anhui 230009 P.R. CHINA Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education of China Hefei Anhui 230009 P.R. CHINA Department of Electronic Information Technology at Tianjin Normal University Tianjin 300387 P.R. CHINA

Objective : This study is to investigate the personality characteristics of student volunteers, which would provide a reference to select and train qualified volunteers for the future. Methods : 233 student volunteers and 236 non-volunteers are selected for our study. Based on the data of 16PF personality exported from the database, statistical software SPSS15.0 is used to conduct data analysis. Result : Volunteers and non-volunteers have significant differences of personality: the 16 basic personality factors, the gregariousness, excitement, daring and independence scores are significantly different; in the other eight binary factors, emotional and serene in the alert type, introverted and extroverted type, timid and bold type factors have significantly different scores. Male and female volunteers have significant personality difference in some respects. Conclusion : College student volunteers have obvious personality traits of extroversion, optimism, cheerfulness, enthusiasm, self-confidence etc. In addition, male and female volunteers have gender differences in personality characteristics in some aspects.

关键词： College students Volunteers Personality traits Shanghai Expo Selection

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optimization for batch scheduling problem based on mould capability

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International Journal of Advancements in Computing Technology 2012年第17期4卷 211-219页

作者： Liu, Xinbao Pei, Jun Fan, Wenjuan Yang, Shanlin School of Management Hefei University of Technology China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education China School of Management Hefei University of Technology China

On the basis of the practical production situation in a Chinese aluminum enterprise, this paper abstracts the aluminum production lot sizing and scheduling as a batch scheduling problem. We consider the jobs with different weights processed on the parallel batch machines, and the job processing is under the constraint of mould capability, besides, the numbers of batches and jobs depend on the number and capability of the moulds. This paper establishes the batch scheduling model, of which the objective function is to minimize the sum of total completion time. The optimal solution properties are analyzed, and a heuristic algorithm is designed to solve the problem. In the end the real production data is selected to make simulation, and the algorithm effectiveness is illustrated.

关键词： Heuristic algorithms

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Statistical modeling for OLAP approximate query

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Journal of Computational Information Systems 2012年第9期8卷 3605-3612页

作者： Ni, Zhiwei Gao, Yazhuo Hu, Tanglei School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei 230009 China

From the perspective of supporting decision making, a statistical model is built in this paper in order to realize the tradeoff between the accuracy of OLAP queries and the efficiency of OLAP processes. Kernel density estimate and Copula method are employed on the multidimensional datasets to fit the marginal distribution and the joint distribution respectively, by which the dependence among dimensions is adequately explored. The synopsis information of OLAP multidimensional datasets is stored in the statistical model instead of keeping the raw data in the system, which drastically reduces the data storage space while the time spent on the OLAP query process is also reduced. The performance test and contrast experiment between Copula-based method and the classic GENHist histogram method are performed to verify that the statistical model proposed in this paper can provide the users with approximate answers of OLAP queries under the appropriate accuracy rate while improve the efficiency and flexibility of OLAP queries. © 2011 by Binary Information Press.

关键词： Efficiency

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Information Sharing of Energy Sources Supply Chain

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Procedia Engineering 2012年 29卷 2443-2447页

作者： Jia Hang sheng Fei Cheng School of Management Hefei University of Technology Hefei 230009 P.R.C Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Anhui 230009 P.R.C

Energy sources supply chain is a new research concern in supply chain management. Supply chain coordination leads to increased information flow, reduced uncertainty, which has become a critical success factor for energy sources supply chain management. We study the energy sources supply chain consisting of one energy sources vendor (SV) and one energy sources integration provider (SIP). We develop information sharing coordination of energy sources supply chain between the SV and the SIP. We try to explore the information sharing coordination in energy sources supply chain which is classified into different information flows. The findings reinforce the importance of information sharing coordination and performance to companies. As a last note, future research direction is pointed out.

关键词： energy sources supply chain energy sources vendor energy sources integration provider information sharing coordination

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Developing an evaluation approach for software trustworthiness using combination weights and TOPSIS

Journal of Software

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Journal of Software 2012年第3期7卷 532-543页

作者： Shi, Li Yang, Shan-Lin Li, Kai Yu, Ben-gong School of Management Hefei University of Technology Hefei 230009 China Institute of Computer Network System Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei 230009 China

Software is everywhere. However, software is not always trustworthy. Confronting the demand of software trustworthiness evaluation, this paper proposes a novel software trustworthiness evaluation approach based on combination weights (CW) and improved TOPSIS methods. The determination of CW relies on experts' judgments and mathematical computation together. FAHP method is used to determine the importance of degree of criteria according to the experts' judgment. To avoid the subjective one-sidedness of weights, entropy weighting method is employed to calculate objective weights. Then, the paper adopts combination weighting method to obtain the CW of evaluation criterion. Next, the CW is applied to the improved TOPSIS method and the trustworthiness rating of software is calculated. The result contributes to provide decision makers more decision information. Finally, the proposed approach is demonstrated with the evaluation of PLM software for an aircraft equipment manufacturer in China, which is followed by the sensitivity analysis and the results illustrate the robustness of the presented evaluation approach. © 2012 ACADEMY PUBLISHER.

关键词： Sensitivity analysis

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Integration scheduling optimization problem of production and transportation in supply chain

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 292-298页

作者： Pei, Jun Liu, Xin-Bao Fan, Wen-Juan Liu, Lin Zhang, Yu-Lei School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education Hefei 230009 China

To study two-tier supply chain scheduling models comprised by multi suppliers and multi manufacturers, the scheduling optimization theory is applied into the supply chain domain. A math model is built by taking the minimization of total flow time of work pieces and total cost of delivery as optimization objectives. The dynamic programming algorithm is used to solve the problem based on analyzing the features of its optimum solution. Multi-objectives fusion is realized through analytic hierarchy process in the algorithm iterative process. The feasibility of this model and algorithm is illustrated by a numerical example.

关键词： Analytic hierarchy process

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Heuristic algorithms for scheduling on uniform parallel machines with heads and tails

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Journal of Systems Engineering and Electronics 2011年第3期22卷 462-467页

作者： Kai Li Shanlin Yang School of Management Hefei University of TechnologyHefei 230009P.R.China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of EducationHefei University of TechnologyHefei 230009P.R.China

This paper considers the uniform parallel machine scheduling problem with unequal release dates and delivery times to minimize the maximum completion *** this NP-hard problem,the largest sum of release date,processing time and delivery time first rule is designed to determine a certain machine for each job,and the largest difference between delivery time and release date first rule is designed to sequence the jobs scheduled on the same machine,and then a novel algorithm for the scheduling problem is *** evaluate the performance of the proposed algorithm,a lower bound for the problem is *** accuracy of the proposed algorithm is tested based on the data with problem size varying from 200 jobs to 600 *** computational results indicate that the average relative error between the proposed algorithm and the lower bound is only 0.667%,therefore the solutions obtained by the proposed algorithm are very accurate.

关键词： scheduling parallel machine uniform release date/head delivery time/tail.

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Clustering ensembles algorithm based on fractal dimension

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 2012年第SUPPL. 1期42卷 364-367页

作者： Wu, Xiao-Xuan Ni, Zhi-Wei Ni, Li-Ping School of Management and Business Intelligence Institute Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei University of Technology Hefei 230009 China

The fractal dimension based clustering ensembles algorithm was studied. It introduced clustering algorithm based on fractal dimension at first in order to create partitions for clustering ensembles, then using voting strategy to get ensembles result. Finally, an idea on distributed clustering ensembles under cloud computing environment was brief discussed. Fractal dimension based clustering ensembles algorithm can offer better solutions in terms of robustness, novelty and stability than the single clustering algorithm based on fractal dimension. Combining the approaches based on grid and fractal, the clustering algorithm called grid and fractal dimension based clustering algorithm (GFDC) was presented to create partitions for clustering ensembles instead of clustering algorithm based on fractal dimension. GFDC is able to capture arbitrary shapes and non-neighboring clustering and can be applied to the massive and high-dimension dataset.

关键词： Fractal dimension

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