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Case-based safety assessment of thermal power plants: A framework

Case-based safety assessment of thermal power plants: A fram...

引用

2011 International Conference on Business management and Electronic Information, BMEI 2011 - 2011 International Conference on Supernetworks and System management, ICSSM 2011

作者： Liang, Changyong Gu, Dongxiao Bichindaritz, Isabelle Zuo, Chunrong Cheng, Fei School of Management Hefei University of Technology Hefei Anhui 230009 China Key Laboratory of Process Optimization Intelligent Decision-making of Ministry of Education of China Hefei Anhui 230009 China Institute of Technology University of Washington Tacoma WA 98402 United States Department of Computer Science University of Illinois at Chicago Chicago IL 60607 United States Research Center of Intelligent Decision Making Information System Technologies of Ministry of Education of China Hefei Anhui 230009 China

ISBN: (纸本)9781612841069

Security assessment of Thermal Power Plants (TPPs) is one of the important means to guarantee the safety of production in thermal power production enterprises. Essentially, the evaluation of power plant systems relies to a large extent on the knowledge and length of experience of the experts. Therefore in this domain Case-Based Reasoning (CBR) is introduced for the security assessment of TPPs since this methodology models expertise through experience management. Taking the management system of TPPs as breakthrough point, this paper presents a case-based approach for the security assessment decision support of TPPs (SATPP). First, this paper reviews commonly used approaches for TPPs security assessment and the current general evaluation process of TPPs security assessment. Then a framework for the management System Security Assessment of Thermal Power Plants (MSSATPP) is constructed and an intelligent Decision Support System for MSSATPP (IDSS-MSSATPP) is functionally designed. MSSATPP involves several key technologies and methods such as knowledge representation and case matching. © 2011 IEEE.

关键词： Case based reasoning

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Independent innovation capability evaluation and analysis on wanjiang city-zone

Independent innovation capability evaluation and analysis on...

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International Conference on Computer Science and Service System (CSSS)

作者： Dengzhou Zhang Yuanyuan Gao Zhanglin Peng School of Management Hefei University of Technology Hefei China finance Department China electronics technology group corporation Beijing China Institute of Computer Network System Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

As the capacity of independent innovation is a vital measure standard for the success of a city's construction, the goal of this paper is to analyze and comment it. In order to make the research result more objective and precise, a system of evaluating indicator which includes the ability of innovation input, management, guarantee and output has been established. Moreover, by using the method of Principal Component Analysis, the capacity for independent innovation of nine cities in the Wanjiang city-region is clearly realized. Finally, hoping that this paper would be helpful to the construction of Wanjiang city-region for industrial transfer and provide a policy basis for the macroscopic readjustment and control as well as management.

关键词： Technological innovation Cities and towns Security Economic indicators Industries Appraisal Finance

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Case-based safety assessment of thermal power plants: A framework

Case-based safety assessment of thermal power plants: A fram...

引用

International Conference on Business management and Electronic Information (BMEI)

作者： Changyong Liang Dongxiao Gu Isabelle Bichindaritz Chunrong Zuo Fei Cheng School of Management Hefei University of Technology Hefei Anhui China Research Center of Intelligent Decision Making and Information System Technologies Ministry of Education of China Hefei Anhui China Department of Computer Science University of Illinois Chicago Chicago IL USA Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education of China Hefei Anhui China Institute of Technology University of Washington Tacoma WA USA

关键词： Security Safety Production Power generation Power systems Decision making Indexes

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A hybrid multi-chromosome genetic algorithm for the cutting stock problem

A hybrid multi-chromosome genetic algorithm for the cutting ...

引用

International Conference on Information management, Innovation management and Industrial Engineering, ICIII

作者： Jin, Peng Zhang, Shu Chu School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Hefei China

ISBN: (纸本)9780769542799

This paper presents a hybrid multi-chromosome genetic algorithm (HMCGA) to solve an in integer linear programming formulation of the Cutting Stock Problem (CSP). The CSP is an important class combinatorial problem. It is appropriate to minimize the raw material used by industries for fulfilling customer's demands. In such cases, classic models for solving the cutting stock problem are useless. HMCGA differ from previous application of genetic algorithm to CSP in that our coding contain tow chromosome, one represents the cutting pattern and another represents the frequencies of the cutting patterns in the first chromosome, rather than relying on a traditional genetic algorithm to decode each individual solution. Results obtained from computational experiments for ten benchmarks demonstrate that the performance of HMCGA is compared to that obtained using existing mete-heuristic algorithm. © 2010 IEEE.

关键词： Genetic algorithms

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The selection of project management software by FAHP and FMCDM in automobile R&D process

The selection of project management software by FAHP and FMC...

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2nd International Conference on Networking and Digital Society, lCNDS 2010

作者： Fu, Lei Shi, Li Yang, Ying Yu, Bengong Key Laboratory of Process Optimization and Intelligent Decision-making School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9781424451616

The selection of project management (PM) software is a complex issue and has significant impacts to the efficiency of the automobile research & development (R&D) process. Given two alternatives based on critical path method (CPM) and critical chain project management (CCPM) respectively, decision-makers usually cause confusion. This paper analyzed the characteristic of automobile R&D project and developed an evaluation model based on the fuzzy analytic hierarchy process (FAHP) and fuzzy multiple criteria decision making (FMCDM) methods, which can help the managers in automobile industry to select more appropriate software in the course of product R&D. In particular, the FAHP method is used to obtain the weights of evaluation criteria, and the FMCDM method is used to determine the final rank of the software. The uncertainty and vagueness in evaluation procedure were presented as the fuzzy triangular numbers. The proposed method is applied to the case study of evaluating the performance of PM software based on CPM and CCPM respectively for a car manufacturer. The result of evaluation not only assisted managers in choosing suitable software but also outline the trend in development of CCPM software. ©2010 IEEE.

关键词： Managers

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Compression of OLAP cubes for aggregate queries based on Copula approach

Compression of OLAP cubes for aggregate queries based on Cop...

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International Conference on Business Intelligence and Financial Engineering

作者： Gao, Yazhuo Ni, Zhiwei Ni, Liping School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Hefei 230009 China

ISBN: (纸本)9780769541167

This paper introduces Copula approach, which has been widely used in statistical field, to the construction of OLAP cubes for the first time. Based on this approach, a novel scheme is proposed to compress data and answer any OLAP query without accessing raw data. The procedure of this scheme can be generally divided into three steps. Firstly, find the proper distribution functions to fit the marginal distribution of each attribute. Secondly, employ Copula approach to catch the intra relationship among attributes in a data set. Finally, use the probability density function of joint distribution to calculate the aggregation function. Empirical evidence shows that this Copula-based model can not only drastically reduce storage requirements but also save the query response time, while the accuracy is bounded under a given level. © 2010 IEEE.

关键词： Distribution functions

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A hybrid ant colony algorithm for the Cutting Stock Problem

A hybrid ant colony algorithm for the Cutting Stock Problem

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2010 International Conference on Future Information Technology and management Engineering, FITME 2010

作者： Peng, Jin Chu, Zhang Shu School of Management Hefei University of Technology Key Laboratory Process Optimization and Intelligent Decision-Making Ministry of Education Hefei Anhui Province China

ISBN: (纸本)9781424490882

This study presents a new hybrid ant colony algorithm (HACO) to solve an in integer linear programming formulation of the Cutting Stock Problem(CSP). The CSP is an important class combinatorial problem. It is appropriate to minimize the raw material used by industries for fulfilling customer's demands. In such cases, classic models for solving the cutting stock problem are useless. HACO consists of GDCP procedure and modified ACO (MACO). GDCP procedure provides dominative cutting patterns as MACO solution components, in MACO the pheromone trail is put on cutting patterns instead of items. MACO preserves cutting patterns and frequencies information under ants building solution procedure. Results obtained from computational experiments for ten benchmarks demonstrate that the performance of MACO is compared to that obtained using existing mete-heuristic algorithm. © 2010 IEEE.

关键词： Heuristic algorithms

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Multi agent negotiation model for distributed task allocation

Multi agent negotiation model for distributed task allocatio...

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2010 2nd IEEE International Conference on Information management and Engineering, ICIME 2010

作者： Luo, He Hu, Xiao-Jian Hu, Xiao-Xuan School of Management Hefei University of Technology Hefei China Key Laboratory of Ministry of Education on Process Optimization and Intelligent Decision Making Hefei China

ISBN: (纸本)9781424452644

In the multi agent system, negotiation between different agents becomes more and more complex when the distributed tasks need to be allocated among them. Usually, this process has been done in the centralized way where agents have all the information of both the tasks and the environment. However, in the real application such as satellite scheduling problem or production scheduling problem, not all the information can be acquired, some of them even cannot be known. Therefore, in this paper, we propose a multi agent negotiation model for distributed task allocation in a priority based environment. This process is modeled as a finite Markov Decision process (F-MDP), and a coordinated negotiation protocol is also suggested to support the model. The experiments show that tasks are allocated in an efficient way, and it can also reduce the communication cost. © 2010 IEEE.

关键词： Multi agent systems

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The application of improved genetic algorithm in optimization of logistics distribution routing

The application of improved genetic algorithm in optimizatio...

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2010 International Conference of Logistics Engineering and management: Logistics for Sustained Economic Development - Infrastructure, Information, Integration, ICLEM 2010

作者： Ni, Zhiwei Gao, Yazhuo Liu, Ye Key Lab. of Process Optimization and Intelligent Decision-Making of Ministry of Education School of Management Hefei Univ. of Technology Hefei 230009 China

ISBN: (纸本)9780784411391

The optimization of distribution routing is a key problem of logistics systems optimization, and can be considered as a traveling salesman problem (TSP). In this paper, the optimization of distribution routing is transformed into TSP, and dissimilar order crossover operator is proposed to improve the genetic algorithm (GA) to solve TSP. The improved crossover operator is based on natural representation, which makes the offspring inherit the excellent substrings of its parent and speeds up the convergence of GA. Simultaneously, steady state reproduction without duplicates is adopted to avoid prematurity. It is proved that the improved GA provides prominent performance for both TSP and asymmetric traveling salesman problem (ATSP), which will facilitate the optimization of distribution routing. © 2010 ASCE.

关键词： Logistics

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Reasearch on the technology of electronic sand table based on GIS

Reasearch on the technology of electronic sand table based o...

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International Conference on Information Science and Engineering

作者： Chen, Haihan Lu, Zhitang Key Laboratory of Process Optimization and Intelligent Decision-making Hefei University of Technology Ministry of Education Hefei China School of Resources and Environmental Engineering Hefei University of Technology Hefei China

ISBN: (纸本)9781424480968

Electronic sand table is a new high-tech product by integrating computer application, geographic information systems (GIS) and virtual reality with multimedia. In this paper, an electronic sand table system of target areas is made under the platform of ArcGIS. The design and realization scheme of electronic sand table system is introduced at first. Then, the key techniques for electronic sand table, such as data processing, terrain modeling and feature matching, are described in details. Finally, the electronic sand table system is carried out on the platform of ArcGIS based on digital elevation model (DEM) and satellite remote sensing image. It can give users a real-time and interactive operation circumstance, and provide some references for the decision-makers to get a better understanding of the regions. © 2010 IEEE.

关键词： Remote sensing

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