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IEEE International Conference on Real-time Computing and Robotics (RCAR)

作者： Cancan Zhao Yufeng Yan Xuhao Liu Shuai Zhang Bo Ouyang School of Management Hefei University of Technology Hefei China The Key Laboratory of Process Optimization and Intelligent Decision-Making(Ministry of Education) Hefei University of Technology Hefei China

Traditional navigation methods tend to design and train navigation skills based on the consideration of multi-scenario applicability and perform well in general scenarios. However, this results in sub-optimal navigation performance in some context-specific scenarios, such as navigating through open or crowded scenarios. While some existing navigation skills can achieve satisfactory performance in context-specific scenarios, e.g., using PID in open scenarios and reinforcement learning-based training methods in crowded scenarios. Most methods currently do without consideration of the integration of navigation skills and contextual understanding. To address this gap, we propose an adaptive mapless navigation method to utilize the optimal capabilities of each skill corresponding to the context-specific scenario. Specifically, we package several existing navigation skills and train a scenario classifier to enable the agent to automatically select the most appropriate skill based on the current scenario. Furthermore, we incorporate evidential deep learning (EDL) to assess classification uncertainty and ensure the safe switching of navigation skills. Our method was tested in both simulated and real scenarios, and the results of the experiments confirmed the effectiveness and generalization of our method. Moreover, the proposed method exhibits notably enhanced, context-sensitive efficiency within a hybrid multi-scenario setting, in comparison to a single navigation skill.

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Measurement Method of Answerer Service Influence for Q & A Community

Measurement Method of Answerer Service Influence for Q & A C...

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E-Commerce and Internet Technology (ECIT), International Conference on

作者： Jianmin He Tingting Liu Yuanchun Jiang Ying Li Hao Wu Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei China School of Management Hefei University of Technology Hefei China

ISBN: (数字)9781728159027

ISBN: (纸本)9781728159034

In this paper, we explore the method of measuring answerer service influence on Q & A community in order to provide decision support for communities to obtain paid consultation questioners and high service influence answerers. From the social capital measuring angle, this paper selects three-dimensional indicators which contain unpaid services, paid services and services quality to measure answerer service influence on Q & A community. Accordingly, we construct a social capital measurement model method for answerer service influence and demonstrate its practical effectiveness. This method can help communities discover high service influence answerers, and formulate service strategies that motivate answerers and questioners to improve the overall service efficiency and effectiveness of the community. The numerical study on the dataset from *** indicates that the proposed method can obtain reasonable measurement results.

关键词： Q & A community paid consulting services service influence social capital measurement method for service influence Social Capital Communities Quality factor Legal Services decision making support Quality of service Dataset

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Research on consumers' cross-site transfer behavior based on complexnetwork theory

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ICIC Express Letters 2009年第4期3卷 1359-1364页

作者： Liu, Yezheng Zhang, Jiekui Yang, Shanlin School of Management Ministry of Education 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

Consumers' online information seeking process consists of two alternatelyjoining behaviors: intra-site visit and cross-site transfer. Current studiesmainly focused on the intra-site visit behavior while cross-site transferbehavior is little concerned. In this paper consumers' cross-site transferbehavior with specific information seeking task is studied for the first time,we collected client-side logs during consumers' online information seekingprocess under experimental circumstances, represented the logs as a cross-sitetransfer network and analyzed the cross-site transfer behavior based on complexnetwork theory. Main conclusions include: the cross-site transfer network hassome topological characteristics different from common networks;a largeproportion of transfer behaviors are carried out between different websitecategories;the proportion of transfers within the same website category isrelatively low as a whole, but transfers within different website categories arevery different;the transfers between websites have high degree of *** conclusions may help websites establish strategy alliance *** International © 2009.

关键词： Websites

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Research on the Operational Efficiency of Subscription Accounts

Research on the Operational Efficiency of Subscription Accou...

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E-Commerce and Internet Technology (ECIT), International Conference on

作者： Jianmin He Hao Wu Tingting Liu Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei China School of Management Hefei University of Technology Hefei China

ISBN: (数字)9781728159027

ISBN: (纸本)9781728159034

The operation and profit of the subscription account is an important guarantee for maintaining its own high-quality development. It constructs an operation efficiency evaluation index system, with customer acquisition input and profit acquisition input as input indicators, and customer acquisition output and profit acquisition output as output indicators. On this basis, the DEA-BCC model was used to evaluate the operational efficiency of 28 subscription accounts. Based on the analysis results, this paper puts forward the improvement measures for non-DEA effective subscription accounts. Finally, this article uses Tobit regression to explore the influencing factors of operational efficiency. The results show that only 14 subscription accounts are DEA efficiency. The quality of average non-original articles has a negative impact on operational efficiency, and the quality of average original articles and the number of daily non-original articles have a positive impact on operational efficiency. Therefore, subscription accounts should pay attention to the quality of original articles and balance the quantity and quality of articles in operation management.

关键词： subscription accounts operational efficiency DEA Tobit Subscriptions DEAS operating efficiency

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A study on generalising bayesian inference to evidential reasoning

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8764卷 180-189页

作者： Yang, Jian-Bo Xu, Dong-Ling Decision and Cognitive Sciences Research Centre The University of Manchester ManchesterM15 6PB United Kingdom Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education HefeiAnhui230009 China

In this paper the relationship between Bayes’ rule and the Evidential Reasoning (ER) rule is explored. The ER rule has been uncovered recently for inference with multiple pieces of uncertain evidence profiled as a belief distribution and takes Dempster’s rule in the evidence theory as a special case. After a brief introduction to the ER rule the conditions under which Bayes’ rule becomes a special case of the ER rule are established. The main findings include that the normalisation of likelihoods in Bayesian paradigm results in the degrees of belief in the ER paradigm. This leads to ER-based probabilistic (likelihood) inference with evidence profiled in the same format of belief distribution. Numerical examples are examined to demonstrate the findings and their potential applications in probabilistic inference. It is also demonstrated that the findings enable the generalisation of Bayesian inference to evidential reasoning with inaccurate probability information with weight and reliability. © Springer International Publishing Switzerland 2014.

关键词： decision making

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A Force-driven and Vision-driven Hybrid Control Method of Autonomous Laparoscope-Holding Robot

A Force-driven and Vision-driven Hybrid Control Method of Au...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Jin Fang Ling Li Xiaojian Li Hangjie Mo Pengxin Guo Xilin Xiao Yanwei Qu School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making (Ministry of Education) Hefei University of Technology Hefei China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Laparoscope-holding robots significantly enhance the stability and precision of visualization in minimally invasive surgeries. Most existing robots of this kind depend on visual servo systems and struggle with efficient, rapid adjustments in the field-of-view (FOV), especially when identifying organs and needles outside the FOV. This paper presents a laparoscope-holding robot system capable of employing both vision-driven and force-driven mechanisms for continuous and large-scale FOV adjustments, respectively. The system features an integrated tactile handle, enabling the reception of human-robot interaction forces during surgical navigation. We propose a hybrid control method that leverages both force and vision inputs for laparoscopic FOV adjustments. This approach integrates a virtual wrench, generated from visual information, and an interaction wrench, obtained from the tactile handle, into the robot's dynamic model, which complies with remote center of motion constraints. The interaction wrench's gain is adjusted with the gripping force on the integrated tactile handle, ensuring that unintended movements caused by accidental contacts are prevented, thus safeguarding operational safety. The proposed method eliminates the need to switch control modes, enabling simultaneous visual tracking and tactile interaction guidance. Experimental results demonstrate that the proposed method not only allows for FOV adjustments with surgical instrument guiding but also adapts well to large-scale FOV adjustment tasks.

关键词： Laparoscopes Visualization Tracking Instruments Force Human-robot interaction Switches

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Three-Dimensional Collision Avoidance Method for Robot-Assisted Minimally Invasive Surgery

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Cyborg and Bionic Systems 2023年第1期4卷 121-135页

作者： Ling Li Xiaojian Li Bo Ouyang Hangjie Mo Hongliang Ren Shanlin Yang School of Management Hefei University of TechnologyHefeiChina Key Laboratory of Process Optimization and Intelligent Decision-Making(Ministry of Education) Hefei University of TechnologyHefeiChina Philosophy and Social Sciences Laboratory of Data Science and Smart Society Governance(Ministry of Education) Hefei University of TechnologyHefeiChina Department of Biomedical Engineering Faculty of EngineeringNational University of SingaporeSingaporeSingapore Department of Electronic Engineering Shun Hing Institute of Advanced EngineeringThe Chinese University of Hong KongHong KongChina National Engineering Laboratory for Big Data Distribution and Exchange Technologies ShanghaiChina

In the robot-assisted minimally invasive surgery,if a collision occurs,the robot system program could be damaged,and normal tissues could be *** avoid collisions during surgery,a 3-dimensional collision avoidance method is proposed in this *** proposed method is predicated on the design of 3 strategic vectors:the collision-with-instrument-avoidance(CI)vector,the collision-with-tissues-avoidance(CT)vector,and the constrained-control(CC)*** CI vector demarcates 3 specific directions to forestall collision among the surgical *** CT vector,on the other hand,comprises 2 components tailored to prevent inadvertent contact between the robot-controlled instrument and nontarget ***,the CC vector is introduced to guide the endpoint of the robot-controlled instrument toward the desired position,ensuring precision in its movements,in alignment with the surgical *** results verify the proposed collision avoidance method for robot-assisted minimally invasive *** code and data are available at https://***/cynerelee/collision-avoidance.

关键词： collision desired verify

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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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Evaluation of R&D projects with uncertainty based on evidence reasoning

Evaluation of R&D projects with uncertainty based on evidenc...

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International Conference on Logistics Systems and intelligent Management (ICLSIM)

作者： Ying Yang Bengong Yu Lei Fu Haojie Shen Key Laboratory of Process Optimization & Intelligent Decision-making of Ministry of Education School of Management Hefei University of Technology Hefei China Chery Automobile Company Limited Wuhu China

This paper presents an assessment model for research and development (R&D) projects considering uncertainty in their overall life cycle. Technology maturity and competitive advantages were considered and a Balanced Scorecard (BSC) model was developed to evaluate R&D projects. Based on the multilevel evaluation framework, an evidence reasoning approach has been developed to aggregate the numerical data and qualitative information with uncertainty. The expected utility is applied to describe preferences of decision-makers in the decision process. A case study in the context of automobile R&D projects is given to illustrate the methods.

关键词： Uncertainty Research and development Automobiles Aggregates Data envelopment analysis Laboratories decision making Technology management Educational technology Electronic mail

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An Evidence-Based Multimodal Fusion Approach for Predicting Review Helpfulness with Human-Ai Complementarity

SSRN

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SSRN 2023年

作者： Yang, Ying Zhang, Ling-Feng Ren, Gang Wang, Gang School of Management Hefei University of Technology Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei230009 China Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies Hefei230009 China

Online product reviews have been increasingly adopted by consumers to express their evaluation for products on e-commercial platforms. Consumers are encouraged to evaluate the review quality by helpful votes according to their human intelligence, and considerable machine learning approaches have been developed to help detect helpful reviews automatically. However, previous studies largely depend on machine intelligence and neglect the complementary strength between machine algorithms and human intelligence. This study proposes an evidence-based multimodal fusion approach for predicting the helpfulness of reviews by aggregating the human intelligence from user votes and machine intelligence from texts and images. Review helpfulness is measured by a belief distribution and represented by the evidence obtained from each modality data. An evidential reasoning rule-based fusion strategy is proposed to combine the hybrid intelligence considering their complementarity. A new dataset is also developed for the task of multimodal review helpfulness prediction by crawling online product reviews from *** and annotated by human scoring. Experimental results on the dataset show that the proposed approach for predicting review helpfulness has superior predictive power and outperforms existing methods. This study also contributes to e-commerce by providing an enhanced method for predicting review helpfulness from both human and machine intelligence. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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