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arXiv 2025年

作者： Yang, Yang Zhang, Tong Wu, Jian Su, Lijie National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang China China Criminal Police University Shenyang China Center for Advanced Process Decision-making Carnegie Mellon University PittsburghPA United States Beijing Institute for General Artificial Intelligence Beijing China Liaoning Key Laboratory of Manufacturing System and Logistics Optimization Northeastern University ChinaShenyang Shenyang110819 China Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang China

With the rapid advancement of large language models, academic topic identification and topic evolution analysis are crucial for enhancing AI’s understanding capabilities. Dynamic topic analysis provides a powerful approach to capturing and understanding the temporal evolution of topics in large-scale datasets. This paper presents a two-stage dynamic topic analysis framework that incorporates convex optimization to improve topic consistency, sparsity, and interpretability. In Stage 1, a two-layer non-negative matrix factorization (NMF) model is employed to extract annual topics and identify key terms. In Stage 2, a convex optimization algorithm refines the dynamic topic structure using the convex NMF (cNMF) model, further enhancing topic integration and stability. Applying the proposed method to IEEE journal abstracts from 2004 to 2022 effectively identifies and quantifies emerging research topics, such as COVID-19 and digital twins. By optimizing sparsity differences in the clustering feature space between traditional and emerging research topics, the framework provides deeper insights into topic evolution and ranking analysis. Moreover, the NMF-cNMF model demonstrates superior stability in topic consistency. At sparsity levels of 0.4, 0.6, and 0.9, the proposed approach improves topic ranking stability by 24.51%, 56.60%, and 36.93%, respectively. The source code is available at https://***/meetyangyang/CDNMF. © 2025, CC BY.

关键词： Non-negative matrix factorization

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Regression model for estimation of attribute reliability

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Journal of Control and decision 2021年第2期8卷 201-212页

作者： Guangyan Lu Wenjun Chang Department of Operation Management CRRC Qishuyan Institute Co.LtdChangzhouPeople’s Republic of China School of Management Hefei University of TechnologyHefeiBox 270HefeiAnhui 230009People’s Republic of China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of EducationHefeiAnhui 230009People’s Republic of China Ministry of Education Engineering Research Center for Intelligent Decision Making&Information System Technologies Hefei 230009People’s Republic of China

In this paper,a regression model is developed to estimate attribute reliability in the evidential reasoning(ER)*** analysing the difference between attribute weight and attribute reliability,a general qualitative definition of attribute reliability is *** reliability of an attribute is quantitatively measured in consistence with the qualitative definition in the context of the ER approach.A regression model is then constructed to generate attribute reliabilities by minimising the maximum differences between the real value of attribute reliability and its *** the post-optimal solution space of attribute reliabilities,an optimisation model is constructed to determine the expected utilities of each alternative in order to generate solutions to multiple attribute decision analysis *** place selection problem in Qingyang County of Chizhou in Anhui province of China is analysed using the proposed regression model to demonstrate its detailed implementation process,validity and applicability.

关键词： Multiple attribute decision analysis attribute reliability regression model evidential reasoning rule evidential reasoning approach

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Stability Analysis on a Bus Route Based on the Time-Headway Model Considering Bus Capacity 15

Stability Analysis on a Bus Route Based on the Time-Headway ...

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15th COTA International Conference of Transportation Professionals: Efficient, Safe, and Green Multimodal Transportation, CICTP 2015

作者： Zhang, Jian Ding, Jian-Xun Wang, Jian Shi, Qin Kühne, Reinhart D. School of Transportation Engineering Hefei University of Technology Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei230009 China Department for Transportation University of Stuttgart Stuttgart70174 Germany

ISBN: (数字)9780784479292

ISBN: (纸本)9780784479292

We emphasize the bus capacity or load limit effect on the dynamical phase transition between the delay and schedule time based on the time headway model of bus route system. A variety of schedule or delay phase spectrums have been drawn in a series of bus capacities. The phase diagrams perfectly degenerate into traditional research findings in two extreme conditions of with/without bus capacity. The retention rate is proposed as another index to evaluate the system performance and acquire the optimal load limit and the corresponding departure frequency at various arrival rates. It is concluded that the vehicle capacity limit can expand the schedule-time phase and we can take a certain load limit and departure frequency corresponding to the arrival rate. © ASCE.

关键词： Buses

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Dynamic feed-in tariff pricing model of distributed photovoltaic generation in China

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Energy Procedia 2018年 152卷 27-32页

作者： Changhui Yang Zhixiang Ge School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

Because China’s long-term constant photovoltaic (PV) feed-in tariff policy has not been able to adapt to the decline in the cost of PV equipment, and too broad regional pricing will hinder the development of distributed photovoltaic generation (DPVG) to some extent. Therefore, this paper will re-evaluate China’s solar resource endowments into five regions, and based on the accounting cost method, combine the learning curve of PV equipment to accurately measure the dynamic unit generation cost of distributed PV. In addition, considering the reasonable returns to investors and tax factors, this study has obtained a dynamic feed-in tariff model for DPVG. A case study based on the model shows that the results of feed-in tariff is reasonable and effective, and the government should adjust the feed-in tariff more frequently according to the feed-in tariff pricing model in this study.

关键词： distributed photovoltaic feed-in tariff learning curve installed capacity research investment

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Application Research on Electricity Demand Forecasting Based on Gaussian Quadrature Formula

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Procedia Engineering 2011年 15卷 5574-5578页

作者： Xiaojia Wang Hefei University of Technology. Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei Anhui. 230009China

This paper constructs the background value of grey GM (1, 1) model by using Gaussian quadrature formula, improves its accuracy and the data quality. It indicates that reconstruction of the background value is the key ... 详细信息

关键词： GM (1 1) model Gauss quadrature formula background value forecasting

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The research on the risks & the countermeasures of the distributed IT projects

The research on the risks & the countermeasures of the distr...

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International Conference on Computer and Management

作者： Zhu, Yinghong Liang, Changyong School of Management Hefei University of Technology Heifei Anhui China School of Vocational Technology Education Guangxi University of Technology Liuzhou Guangxi China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Heifei Anhui China

ISBN: (纸本)9781424492831

Nowadays, more and more large IT projects need to unit several entities to accomplish together, which forms project-oriented and geographically distributed virtual organizations and leads to new distributed risks. This article first gives a definition of the distributed IT projects (DITPs), then based on the literature, studies the risk characteristics, risk scope, risk factors of DITPs, and finally studies the developing process of the DITPs and gives a risk management process of iterative and incremental agile development of the whole lifecycle of the DITPs from a few respects such as the set of an organization goal of win-win, the project development of grading iteration and increment, the introduction supervisory mechanism of a third party, and the establishment of study mechanism of risk management. ©2011 IEEE.

关键词： Grading

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Optimal Operation Of Battery Energy Storage System In Industrial Park

Optimal Operation Of Battery Energy Storage System In Indust...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Kaile Zhou Zenghui Zhang Xinhui Lu Key Laboratory of Process Optimization and Intelligent Decision-making Schoolof Management Hefei University of Technology Hefei China

ISBN: (纸本)9781665434263

An industrial park containing distributed generations (DGs) can be seen as a microgrid. Due to the uncertainty and intermittency of the output of DGs, it is necessary to add battery energy storage system (BESS) in industrial parks. The battery state of health (SOH) is an important indicator of battery life. It is necessary to fully consider the battery SOH during the energy optimization of industrial parks. In this work, a two-stage model suitable for charge and discharge optimization of BESSs in industrial park microgrids is proposed. The first stage of the model is a charge and discharge scheduling of a BESS considering the SOH. This stage mainly schedules the charge and discharge time and the total amount of time. The second stage of the model is employed to further determine the charge and discharge allocation of all battery packs to achieve BESS life prolongation. The experimental results show that the introduction of SOH makes the scheduling results more realistic. Also, it balances the changes in the SOHs of all battery packs.

关键词： Schedules Job shop scheduling Uncertainty Rain Microgrids System integration Discharges (electric)

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Research of Information Organization based on Folksonomy

Research of Information Organization based on Folksonomy

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2015 International Conference on Social Science,Education Management and Sports Education(SSEMSE 2015)

作者： B.G.YU J.W.GU School of Management Key Laboratory of Process Optimization and Intelligent Decision Making of Ministry of Education Hefei University of Technology

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 data. It provides a means for completely open and sharing of information between users. And it is also applied in the manufacture enterprises' website that it widens the application range of folksonomy. The 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 Credit Management Mechanism for Peer-to-Peer Electricity Trading in Blockchain Environment

A Credit Management Mechanism for Peer-to-Peer Electricity T...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Jinhuan Guo Kaile Zhou Jie Chong Key Laboratory of Process Optimization and Intelligent Decision-making School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9781665434263

With the rapid development of distributed generation, peer-to-peer (P2P) electricity trading between microgrids in blockchain environment has become one of the indispensable ways to consume the local renewable energy. The existing credit management for P2P electricity trading generally realized through the smart contract of penalty, which cannot show the risk identification and risk aversion behaviors of each microgrid. Therefore, this study proposes a newly credit management mechanism to reduce the defaults, which achieves credit-based risk control optimization and credit-based continuous double auctions. In the first stage, microgrids make robust control optimize to submit a trading strategy that follows contracts as far as possible. In the second stage, which realizes rewards and penalties through credit-based equivalent price conversion. The experimental results show that the proposed credit management mechanism can improve microgrids' interests and ensure fair environment.

关键词： Robust control Renewable energy sources Smart contracts Microgrids System integration Power markets Real-time systems

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A Simple Manner of Dynamic Gesture Recognition Based on Kinect

A Simple Manner of Dynamic Gesture Recognition Based on Kine...

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2016 International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2016)

作者： Fenggang Li Xiangfei Jiang Xiaobo Xia School of management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education

ISBN: (纸本)9781510820524

The paper develops a simple method of dynamic gesture recognition based on the Kinect which is a new sensor from Microsoft in the environment of VS2010 combining Kinect for Windows SDK *** sensors can track human bodies within their effective scope in real-time and obtain the depth of the corresponding information and bones at the same ***,we separated each dynamic hand gesture to be a combination of several micro-gestures which were from predefined eight micro-gestures with eight different *** Dynamic Time Warping algorithm was adopted to find the most similar template gesture,then the system realized corresponding control instruction of the matched template gesture,and consequently,we can achieve somatosensory interaction by recognizing dynamic hand gestures,and the total recognition rate isn't less than 90%.

关键词： Kinect Somatosensory interaction depth information gesture recognition

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