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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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Exploring the impact of COVID-19 on travel behavior based on EV charging big data

Exploring the impact of COVID-19 on travel behavior based on...

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

作者： Kaile Zhou Dingding Hu Fangyi Li Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9781665434263

The COVID-19 pandemic has forced many governments around the world to implement strict lockdown measures and order citizens to stay at home, which has caused a major change in travel patterns. This study leveraged electric vehicle charging big data in Hefei, Anhui Province, China to estimate electric vehicle charging demand in the absence of the COVID-19 pandemic using multi-layer perceptron model, which quantified the impact of the COVID-19 pandemic. In addition, we employed the vector autoregressive model to investigate the dynamic relationships between the changes in charging demand and various explanatory factors. The results suggest that the daily average charging demand in Hefei decreased by 78.3 % compared to the predicted value during the pandemic. Furthermore, according to the variance decomposition and impulse response function analysis, national confirmed COVID-19 cases play a dominant role in reducing charging demand. The number of daily hospitalizations and Migration Scale Index also have significant and robust effect on the decrease in charging demand. The Air Quality Index and Baidu Index are susceptible to external factors and do not have a direct impact on the change in charging demand. Findings support a better understanding of changes in travel behavior during the pandemic and provide policy makers with references to deal with similar events.

关键词： COVID-19 Reactive power Pandemics Atmospheric modeling Big Data Air quality Electric vehicle charging

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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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Pain Intensity Recognition from Masked Facial Expressions using Swin-Transformer

Pain Intensity Recognition from Masked Facial Expressions us...

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IEEE International Conference on Robotics and Biomimetics

作者： Xin Yuan Shuai Zhang Cancan Zhao Xian He Bo Ouyang Shanlin Yang Key Laboratory of Process Optimization and Intelligent Decision-Making(Ministry of Education) School of Management Hefei University of Technology Hefei China

ISBN: (纸本)9781665481106

Previous studies recognize pain expressions based on the entire face, for example, Prkachin and Solomon Pain intensity (PSPI). However, the patients face is often masked by instruments in an intensive care unit (ICU), such as respirator, and gauzes, just name a few, which causes the agent cannot measure the pain intensity using PSPI directly. To tackle this problem, we explore the pain intensity recognition from masked face. First, we conducted four levels of pain measurement experiments with four types of masked face using Swin-Transformer. Experiment results show that the accuracy of pain measurement is more than 90%, even masking a large part of facial Action Units (AU) related to the pain on the UNBC-McMaster dataset. Furthermore, we pre-train the pain recognition model with masked face dataset, such that the model can capture facial features contributed to the pain. Results on binary and four-level pain intensity measurement tasks show our model outperforms recent state-of-the-art performance, achieving 97.38% and 95.25% accuracy, respectively.

关键词： Gold Pain Face recognition Instruments Ventilation Robustness Physiology

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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, BIFE

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

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.

关键词： Data models Aggregates Joints Mathematical model Distribution functions Equations Computational modeling

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Statistical modeling for OLAP approximate query

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Journal of Computational Information Systems 2012年第9期8卷 3605-3612页

作者： Ni, Zhiwei Gao, Yazhuo Hu, Tanglei School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei 230009 China

From the perspective of supporting decision making, a statistical model is built in this paper in order to realize the tradeoff between the accuracy of OLAP queries and the efficiency of OLAP processes. Kernel density estimate and Copula method are employed on the multidimensional datasets to fit the marginal distribution and the joint distribution respectively, by which the dependence among dimensions is adequately explored. The synopsis information of OLAP multidimensional datasets is stored in the statistical model instead of keeping the raw data in the system, which drastically reduces the data storage space while the time spent on the OLAP query process is also reduced. The performance test and contrast experiment between Copula-based method and the classic GENHist histogram method are performed to verify that the statistical model proposed in this paper can provide the users with approximate answers of OLAP queries under the appropriate accuracy rate while improve the efficiency and flexibility of OLAP queries. © 2011 by Binary Information Press.

关键词： Efficiency

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Safety assessment of marine high-end equipment based on evidential reasoning approach under fuzzy uncertainty

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Journal of intelligent and Fuzzy Systems 2024年第4期46卷 7495-7520页

作者： Zhou, Mi Xiong, Xue-Di Pei, Feng School of Management Hefei University of Technology Anhui Hefei China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Anhui Hefei China

Marine high-end equipment reflects a country's comprehensive national strength. The safety assessment of it is very important to avoid accident either from human or facility factors. Attribute structure and assessment approach are two key points in the safety assessment of marine high-end equipment. In this paper, we construct a hierarchical attribute structure based on literature review and text mining of reports and news. The hierarchical attribute structure includes human, equipment, environment and management level. The correlations among these attributes are analyzed. The assessment standards of attributes are described in details. Different evaluation grades associated with attributes are transformed to a unified one by the given rules. As for the assessment approach, the evidential reasoning approach is applied for uncertain information fusion. Group analytical hierarchical process is used to generate attribute weights from a group of experts, where process aggregation method and result aggregation method are combined in a comprehensive way. The importance of expert is computed by the uncertainty measure of expert's subjective judgment. A drilling platform is finally assessed by the proposed attribute structure and assessment approach to illustrate the effectiveness of the assessment framework. © 2024 - IOS Press. All rights reserved.

关键词： Safety engineering

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Equilibrium Conditions In Service Supply Chain

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Procedia Engineering 2011年 15卷 5100-5104页

作者： Fei Cheng Shanlin Yang Xijun Ma School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Anhui 230009China

Service supply chain features human players as service vendor, service integrator, customer and service resource. It tends to be digitally connected, such as consulting, e-business and integrated enterprises. Our study uses a formal model and simulations to develop the effect of a service supply chain on equilibrium computation. Two insights arise on how a network can obtain equilibrium computation: forming the network structure of service supply chain; exploring entities behavior and equilibrium conditions. These results highlight the importance for service supply chain of adapting its network structure to equilibrium and application.

关键词： service supply chain service volume equilibrium

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Empirical analysis of the factors of government administrative preparation of China

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Journal of Computational and Theoretical Nanoscience 2015年第11期12卷 4352-4357页

作者： Long, Zhu Jiang, Dai Changyong, Liang Management School of Hefei University of Technology Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei230009 China

A previous study conducted in Anhui Province by collecting data from 56 county-level governments in 2009 has shown that the factors of demographic, financial and geographical area have linear relationship with government administrative preparation. The administrative preparation of county-level government increased with the size of population, expenditure and geographical area. Geographical area has great impact on administrative preparation, followed by least impact of financial and population. Taking a county government for example, the geographical area is unchanged but household population changed slowly. So the main factor affected the total administrative preparation is financial expenditure. In the process of approving the county government administrative preparation should consider several factors, such as population movements around. The main objective of this study is to prove that administrative preparation should be based on resident population rather than household population. © 2015 American Scientific Publishers.

关键词： Finance

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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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International Seminar on Future Information Technology and management Engineering, FITME

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

ISBN: (纸本)9781424490875

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.

关键词： Optimized production technology Bismuth Benchmark testing

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