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Security evaluation model for the enterprise cloud services based on grey fuzzy AHP

Computer Modelling and New Technologies 2014年第10期18卷 239-244页

作者： Bengong, Yu Liu, Wang Fengyi, Guo School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

This paper analyses the application status of cloud services to identify four factors that affect the security of enterprise cloud services (ECSs), including platform facilities, operational safety, operations management, and legal factors. Based on the four factors, the grey fuzzy analytic hierarchy process (GFAHP) is used to construct an evaluation model for the security of ECSs. An example is investigated to demonstrate the proposed model.

关键词： Web services

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Heuristics for uniform parallel machine scheduling problem with minimizing makespan

Heuristics for uniform parallel machine scheduling problem w...

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IEEE International Conference on Automation and Logistics

作者： Kai Li Shu-chu Zhang School of Management Hefei University of Technology Hefei China Ministry of Education Key Laboratory of Process Optimization and Intelligent Decision-making Hefei China

ISBN: (纸本)9781424425020

This paper considers the problem of uniform parallel machine scheduling with unequal release dates so as to minimize makespan. This problem is proved to an NP-hard problem. Heuristics in existence for the problem are analyzed, and then we present an improved algorithm. The performance of the algorithms by experiment is also analyzed. The heuristic is further extended by applying the method of variable neighborhood search, which is used for improving the quality of the solutions obtained by the original heuristics.

关键词： Schedules Heuristic algorithms Parallel machines Magnetic heads Algorithm design and analysis Approximation algorithms Scheduling

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Extension CBR Retrieval

Extension CBR Retrieval

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International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Zhiwei Ni Dan Han Gongrang Zhang Yazhuo Gao School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

When the case information is described in natural language and not complete, to deal with problems of case retrieval in Case-Based Reasoning (CBR), Extension theory is introduced to aid it. Firstly, the case index is created based on the Extension model. Secondly, the main characteristics of the case are formalized to store in the case base to realize the data compression. Finally, case retrieval algorithm is designed. The basic and the advanced retrieve strategy supplement each other. This algorithm lowers the request of the professional level and improves the efficiency of retrieval. The approach is of practical significance in problem solving, such as auto fault diagnosis.

关键词： Information retrieval Artificial intelligence Problem-solving Fault diagnosis Competitive intelligence Data compression Algorithm design and analysis intelligent systems Mathematics Computational intelligence

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

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

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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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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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Dialectical thinking in engineering management

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Engineering Sciences 2012年第5期10卷 76-89页

作者： Yang Shanlin Huang Zhibin Ren Xueping Hefei University of Technology Hefei 230009China Key Laboratory of the Ministry of Education on Process Optimization&lntelligent Decision Making Helei 230009China

Modem engineering management activities have all become more complex, being far beyond the economic and technological areas, due to their growing grand scales, increasingly complex structures and integrated systems. Therefore, we need focus our attention on engineering management activities by resorting to dialectical thinking and take full account of them based on the height of the new era. This paper described and analyzed engineering management activities from the following 5 aspects ： the cyclic promotion between engineering management theory and engineering management practice, the in-depth integration of engineering management concepts with engineering management methods, the coordinated harmonization of engineering management system with engineering management details, the mutual promotion between engineering management standardization and engineering management innovation, the common enhancement between engineering management team and engineering management system.

关键词： engineering engineering management dialectical thinking

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The construction of performance management system based on balanced scorecard

The construction of performance management system based on b...

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2011 International Conference on Computer Science and Service System, CSSS 2011

作者： Zhang, Dengzhou Peng, Zhanglin Gao, Yuanyuan School of Management Hefei University of Technology Hefei China Finance Department of 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 Hefei China

ISBN: (纸本)9781424497638

In China, there are many actual problems in some enterprises' performance management, such as the target dislocation, the unscientific assessment indicator, the assessment results' not linking to rewards and punishments, assessment system solidification and so on. All these problems have affected the effectiveness display of performance management to a great extent. In view of this, this article has constructed performance management system based on the balanced scorecard, taking advantage of balanced scorecard in the strategic management and the performance management. Finally, the article demonstrates the validity and rationality of the research through the case study of Company A. © 2011 IEEE.

关键词： Companies Finance Marketing and sales Military communication Qualifications balanced scorecard performance indicator performance management strategy management

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Multi-keyframe Guided Points Tracking Method for Enhanced Robotic Surgery

Multi-Keyframe Guided Points Tracking Method for Enhanced Ro...

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IEEE International Conference on Robotics and Biomimetics

作者： Xiaojian Li Tongtong Li Xiang Ma Ling Li Hangjie Mo Jieyu Zheng School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei University of Technology Hefei China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Points tracking provides target guidance for the basic tasks of robotic surgery, such as autonomous cutting, autonomous suturing, and surgical navigation. Existing invivo tracking algorithms mainly consider region-level tracking, making it difficult to achieve pixel-level accuracy. This paper proposes a multi-keyframe guided tracking method (MKTracking) for robotic surgery, which achieves long-term dynamic tracking of any point on endoscopic images. An incremental keyframe pool building block based on time interval and image appearance is proposed, which contains keyframe basic information, tracking patch and tracking points. Besides, an online multi-keyframe query mechanism is designed to efficiently retrieves the three most similar templates from the keyframe pool based on the number of feature matches within the target patch. This mechanism can realize the identification of target moving out and the re-tracking of target reappearance. Points tracking result is obtained by fusing the optical flow results within the target patch across multiple frames. We evaluated MKTracking using ground-truth data, and the results demonstrated that our approach achieved superior tracking performance.

关键词： Target tracking Accuracy Minimally invasive surgery Navigation Heuristic algorithms Buildings Real-time systems Robots Optical flow Videos

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An Integrated Position-velocity-force Method for Safety-enhanced Shared Control in Robot-assisted Surgical Cutting

An Integrated Position-velocity-force Method for Safety-enha...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Xilin Xiao Xiaojian Li Yudong Shi Jin Fang Lin Li Pengfei He Hangjie Mo School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei University of Technology Hefei China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Numerous studies have emphasized the application of autonomous intelligence in human-robot shared control to enhance surgical convenience and efficiency. However, the neglect of human dominance may reduce surgical safety. This paper developed a safety-enhanced human-robot shared control method by intelligently allocating control authority, with the surgeon remaining the leader during the surgical procedure. Three controllers are designed initially, including a master hand position (MP) controller and a master hand velocity (MV) controller related to the surgeon's manipulation, and a planned trajectory tracking (PT) controller related to the robot. In precision surgical manipulation scenarios, precise tracking of the human's operation is achieved by combining MP and MV controllers, while a combination of MV and PT controllers is developed in high-efficiency surgical scenarios, which relaxes the requirement for precise tracking of hand position and enables precise robot assistance guided by the velocity of human hand. The autonomous scenarios and controllers switching are accomplished through a motion fusion mechanism, which is achieved via optimizing evaluation functions that are reliant on future states. Furthermore, a force feedback mechanism is proposed to help human understand the intent of autonomous control to improve safety. The feasibility and effectiveness of this method have been validated through simulations and experiments.

关键词： Medical robotics Trajectory tracking Force feedback Dynamics Surgery Switches Controllability

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A novel hybrid dynamic programming algorithm for a two-stage supply chain scheduling problem

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8th International Conference on Learning and intelligent optimization, LION 2014

作者： Pei, Jun Liu, Xinbao Fan, Wenjuan Pardalos, Panos M. Liu, Lin School of Management Hefei University of Technology Hefei 230009 China Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida Gainesville FL 32601 United States Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education Hefei 230009 China Department of Computer Science North Carolina State University Raleigh NC 27695-7534 United States

ISBN: (纸本)9783319095837

This study addresses a two-stage supply chain scheduling problem, where the jobs need to be processed on the manufacturer's serial batching machine and then transported by vehicles to the customer for further processing. The size and processing time of the jobs are varying due to the differences of types, and setup time is needed before processing one batch. For the problem with minimizing the makespan, we formalize it as a mixed integer programming model. In addition, the structural properties and lower bound of the problem are provided. Based on the analysis above, a novel hybrid dynamic programming algorithm, combining dynamic programming and heuristics, is proposed to solve the problem. Furthermore, its time complexity is also analyzed. By comparing the experimental results of our proposed algorithm with the heuristics B F F and L F F , we demonstrate that our proposed algorithm has better performance and can solve the problem in a reasonable time. © 2014 Springer International Publishing.

关键词： Dynamic programming

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