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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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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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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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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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An efficient method for improving query efficiency in data warehouse

Journal of Software

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Journal of Software 2011年第5期6卷 857-865页

作者： Ni, Zhiwei Guo, Junfeng Wang, Li Gao, Yazhuo School of Management Hefei University of Technology Hefei Anhui China Key Lab of Process Optimization and Intelligent Decision-making Ministry of Education Hefei Anhui China

There are lots of performance bottlenecks for real-time queries in mass data. Many methods can only improve the efficiency for frequently used queries, but it is not advisable to neglect the non-frequently used queries. This paper proposes a new integrated index model called BBI and illustrates the application of this model. Based on the feature of data warehouse and OLAP queries, this index model is built with inverted index, aggregation table, bitmap index and b-tree. It greatly promotes not only the efficiency of frequently used queries, but also the performance of other queries. The analytical and experimental results demonstrate the utility of BBI. © 2011 ACADEMY PUBLISHER.

关键词： Data warehouses

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Service-oriented partner selection process model and algorithm for dynamic virtual enterprise

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Journal of Computational Information Systems 2011年第14期7卷 5159-5166页

作者： Zhang, Yiwen Ni, Zhiwei Song, Jie Wang, Li Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China School of Computer Science and Technology Anhui University Hefei 230009 China

The key link of constructing a virtual enterprise is to choose a cooperation partner who has the characteristics of sensitive, competitive and compatible. To solve the large scale partner selection under the environment of networked collaborative manufacturing, this paper puts forward a service-oriented dynamic virtual enterprise partner selection process model. Based on this, it further combining parallel genetic algorithm (PGA) with interactive genetic algorithm (IGA), and put forward a kind of phases of partner selection strategy. Use of each enterprise service enterprise constraint of preliminary screening to reduce problem solving space, top-k kinds of optimizing enterprise service composition can be achieved using PGA. Then, the optimal partner composition is acquired using IGA under mutual cooperation of group decision-making and evolution mechanism conditions. Finally, through the experiments proved its rationality and feasibility. © 2011 Binary Information Press December, 2011.

关键词： Problem solving

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A Two-Dimensional Time-Aware Cloud Service Recommendation Approach with Enhanced Similarity and Trust

SSRN

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SSRN 2023年

作者： Tang, Chunhua Zhao, Shuangyao Chen, Binbin Lu, Xiaonong Zhang, Qiang School of Management Hefei University of Technology Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei230009 China

Owing to an increasing number of functionally equivalent services on the cloud computing platform, quality-of-service (QoS) prediction and service recommendation have been developed using collaborative filtering (CF) techniques. However, each individual QoS is related to service status and user perceptions and thus instantly varies over time. QoS instantaneity often makes service predicted QoS deviate from actual values in traditional CF approaches. In addition, existing CF approaches ignore inauthentic QoS values given by untrustworthy users. To address these problems, we develop a two-dimensional time-aware and trust-aware service recommendation approach (TaTruSR). First, considering QoS instantaneity, both time weight (time dimension) and temporal certainty (QoS dimension) are designed to determine the contribution of co-invoked services. Second, a set of most similar and trusted neighbors can be identified from the view of the time-aware similarity model and trust model. In models, the direct similarity and local trust are calculated based on the QoS ratings and contribution of co-invoked services to improve the prediction accuracy and eliminate unreliable QoS. The indirect similarity and global trust are estimated based on the social network to alleviate the data sparsity problem. Finally, missing QoS prediction and service recommendation for the active user can be achieved based on enhanced similarity and trust. A case study and experimental evaluation on real-world datasets demonstrate the practicality and accuracy of the proposed approach. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Research of Information Organization Based on Folksonomy

Research of Information Organization Based on Folksonomy

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第五届复杂科学管理国际研讨会

作者： YU Bengong GU Jiawei School of Management Hefei University of Technology P.R.China China Key Laboratory of Process Optimization and Intelligent Decision Making of Ministry of Education Hef

This paper proposes a method which uses RDF to express resources, tags and users of Folksonomy and allows users to assign tags freely by achieving the storage and query of RDF *** provides a means for completely open and sharing of information between *** it is also applied in the manufacture enterprises' website that it widens the application range of *** method can not only improve the degree of users' participation, but also realize the efficient management of mass data and the quick query of Information.

关键词： Folksonomy RDF Information Organization Information Representation

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A method based on manifold learning and Bagging for text classification

A method based on manifold learning and Bagging for text cla...

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International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

作者： FengGang Li JiLi Fan Li Wang HuLin Zhang Rui Duan Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei China Hefei University of Technology Hefei Anhui CN

In order to solve the problem of high dimension in text classification, the paper proposes a method based on manifold learning and Bagging for text classification which imports manifold learning algorithm for dimension reduction. And Bagging algorithm is introduced when training classifier to improve the accuracy of text classification. Experimental results demonstrate that effect of text dimension reduction by manifold learning algorithm in the pretreatment of text classification is better, and the performance of the classifier has improved significantly.

关键词： Classification algorithms Text categorization Manifolds Training Bagging Support vector machine classification Euclidean distance

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Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature

Dynamic Topic Model for Tracking Topic Evolution and Measuri...

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IEEE International Conference on Data Science in Cyberspace (DSC)

作者： Yezheng Liu Jicheng Wang Yang Qian Yuanchun Jiang Jianshan Sun Yidong Chai School of Management Hefei University of Technology National Engineering Laboratory for Big Data Distribution and Exchange Technologies Key Laboratory of Process Optimization and Intelligent Decision Making Ministry of Education

ISBN: (纸本)9781665418164

With the progress of science and technology, a large number of scientific papers are published every year. Faced with such large data, identifying high-value research and hot research directions has become an interesting and important task. Previous studies focus less on the popularity measurement of research papers. In this paper, we use a dynamic topic model (DTM) for tracking the topic evolution trend and measuring the popularity of research papers based on the topic hotness. To test our model effectiveness, we conduct experiments on 5,964 research papers in the category of management. Our results show that DTM can help to monitor topic evolution and measuring popularity for scientific literature.

关键词： Current measurement Conferences Cyberspace Data science Market research Data models Time factors

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