检索结果-内蒙古大学图书馆

5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Zhou, Kaile Fei, Zhineng Lu, Xinhui Key Laboratory of Process Optimization and Intelligent Decision-making School of Management Hefei University of Technology Hefei230009 China

ISBN: (纸本)9781665434256

More and more internet data centers (IDCs) are trying to use renewable energy sources (RESs). However, powering IDCs with intermittent RESs presents a significant challenge. In addition, power and workload management in IDCs has great potential to reduce energy consumption, carbon footprints and energy cost. This study proposes an optimal load dispatch model for an IDC with battery energy storage system (BESS), which aims to lower the total costs. To accommodate the uncertainties of wind power, a data-driven distributionally robust optimization (DDRO) method is adopted. Then the column-and-constraint generation method (C&CG) is used to solve the corresponding optimization problem. In the experiment with the real-world traces of workload arrival and wholesale electricity price, three scheduling scenarios are investigated. Moreover, robust optimization and stochastic programming are implemented for comparison. Experimental results reveal that total costs of the IDC can be effectively reduced by adopting BESS and implementing workload dispatch. Meanwhile, the results also demonstrate the effectiveness of DDRO approach. © 2021 IEEE

关键词： Stochastic programming

来源：评论

学校读者我要写书评

暂无评论

A Credit Management Mechanism for Peer-to-Peer Electricity Trading in Blockchain Environment 5

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

引用

5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Guo, Jinhuan Zhou, Kaile Chong, Jie Key Laboratory of Process Optimization and Intelligent Decision-making School of Management Hefei University of Technology Hefei230009 China

ISBN: (纸本)9781665434256

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. © 2021 IEEE

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Optimal Operation Of Battery Energy Storage System In Industrial Park 5

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

引用

5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Zhou, Kaile Zhang, Zenghui Lu, Xinhui Key Laboratory of Process Optimization and Intelligent Decision-making School of Management Hefei University of Technology Hefei230009 China

ISBN: (纸本)9781665434256

An industrial park containing distributed generations (DCs) 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. © 2021 IEEE

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

Regression model for estimation of attribute reliability

引用

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

来源：评论

学校读者我要写书评

暂无评论

Media Attention and ESG Greenwashing: Evidence from Chinese Listed Companies

SSRN

引用

SSRN 2023年

作者： Jiang, Cuixia Li, Xiuxiu Xu, Qifa Liu, Junhang School of Management Hefei University of Technology Anhui Hefei230009 China Philosophy and Social Sciences Laboratory of Data Science and Smart Society Governance Ministry of Education Anhui Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Anhui Hefei230009 China Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies Anhui Hefei230009 China

We investigate the relationship between media attention and environmental, social, and governance (ESG) greenwashing using the data of Chinese A-share listed companies from 2011 to 2020. Our results show that media attention can inhibit corporate ESG greenwashing behavior. Moreover, this inhibiting effect is mainly caused by paper media and becomes more prominent in non-state-owned enterprises (non-SOEs). The mediation analysis proves that media attention plays an important role in improving investor attention, thereby inhibiting corporate ESG greenwashing. The moderation analysis indicates that the effect of media attention on inhibiting ESG greenwashing is weakened in companies with more analyst following and higher quality of internal control. Our study provides a new view on the governance of ESG greenwashing in China. © 2023, The Authors. All rights reserved.

关键词： Quality control

来源：评论

学校读者我要写书评

暂无评论

Manipulating Constrained Soft Tissue while Avoiding Obstacles using Reinforcement Learning with Self-Attention

Manipulating Constrained Soft Tissue while Avoiding Obstacle...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Xian He Shuai Zhang Shanlin Yang Bo Ouyang The 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

ISBN: (纸本)9781665481106

The complexity of dynamics raises challenges in deformable object manipulation, particularly the soft tissue shape control in in vivo environment. Previous studies assume the soft tissue is in an obstacle-free space, and the constraints are constant. To go one step further, a Soft Actor-Critic (SAC) algorithm is presented to manipulate the soft tissue under external disturbances while avoiding obstacles. K-Means is applied to reduce the dimension of the state space. Furthermore, self-attention is introduced to focus on the external forces and the constraints. Experiment results show that the agent can shape the soft tissue into the target deformation with the proposed approach under unknown external force, where the agent can automatically increase attention to the external force. The agent can find an obstacle-free path while manipulating the soft tissue. Compared with the SAC algorithm, the proposed approach with self-attention requires less training time, and the critic network is more stable.

关键词： Training Shape control Shape Biological tissues Force Surgery Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Face Tracking Strategy of 7-DOF Manipulator Using optimization Algorithm Based on Velocity Analysis

Face Tracking Strategy of 7-DOF Manipulator Using Optimizati...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Shuai Zhang Cancan Zhao Xian He Bo Ouyang Shanlin Yang The 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

ISBN: (纸本)9781665481106

Patients' facial expressions can reflect their condition, but expressions cannot be captured like ECG or EEG monitor. Long-term monitoring will increase the workload of nurses. To tackle this issue, we develop a face tracking strategy using a 7-DOF robot manipulator with a camera mounted on the end-effector. First, we analyze the relationship between the manipulator's workspace and optimal tracking pose and design an optimization function to initialize the head position. By comparing the speed of the head and manipulator, knowledge of the maximum tracking limit of the head and the manipulator in the tracking process is given. Moreover, a configuration-based optimization algorithm is proposed to minimize the error with theoretical optimal pose by converting radian to arc length. We calculate the optimal configuration of the camera with the feedback of the head configuration while minimizing the difference between theoretical optimal pose. Simulation experimental results verified that the proposed face tracking strategy outperforms the visual servoing control strategy only based on the pseudo-inverse of the Jacobian matrix.

关键词： Jacobian matrices Tracking Robot kinematics Manipulators Cameras Visual servoing Trajectory

来源：评论

学校读者我要写书评

暂无评论

A Multimodal Data-driven Framework for Anxiety Screening

arXiv

引用

arXiv 2023年

作者： Mo, Haimiao Ding, Shuai Hui, Siu Cheung The School of Management Hefei University of Technology Anhui Hefei23009 China The Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education China The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore

Early screening for anxiety and appropriate interventions are essential to reduce the incidence of self-harm and suicide in patients. Due to limited medical resources, traditional methods that overly rely on physician expertise and specialized equipment cannot simultaneously meet the needs for high accuracy and model interpretability. Multimodal data can provide more objective evidence for anxiety screening to improve the accuracy of models. The large amount of noise in multimodal data and the unbalanced nature of the data make the model prone to overfitting. However, it is a non-differentiable problem when high-dimensional and multimodal feature combinations are used as model inputs and incorporated into model training. This causes existing anxiety screening methods based on machine learning and deep learning to be inapplicable. Therefore, we propose a multimodal data-driven anxiety screening framework, namely MMD-AS, and conduct experiments on the collected health data of over 200 seafarers by smartphones. The proposed framework’s feature extraction, dimension reduction, feature selection, and anxiety inference are jointly trained to improve the model’s performance. In the feature selection step, a feature selection method based on the Improved Fireworks Algorithm is used to solve the non-differentiable problem of feature combination to remove redundant features and search for the ideal feature subset. The experimental results show that our framework outperforms the comparison methods. © 2023, CC BY-NC-SA.

关键词： Feature Selection

来源：评论

学校读者我要写书评

暂无评论

Understanding Information Sensitivity Perceptions and its Impact on Information Privacy Concerns in E-Commerce Services: Insights from China

SSRN

引用

SSRN 2023年

作者： Tao, Shouzheng Liu, Yezheng Sun, Chunhua School of Management Hefei University of Technology Anhui Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Anhui Hefei230009 China Key Laboratory of Philosophy and Social Sciences for Cyberspace Behaviour and Management Anhui Hefei230009 China

Although research topics related to information privacy in e-commerce services have been extensively studied, we still lack knowledge about consumers' perceived information sensitivity to personal information disclosure at the information type level and its effect on information privacy concerns. This study focused on common personal information types required by e-commerce services and investigated 625 Chinese consumers based on an online questionnaire about their information sensitivity to disclosing these personal information types. Rooted in the literature on information sensitivity and privacy concerns, we explored the impact of individual and situational factors on information sensitivity and the impact of information sensitivity of different personal information types on e-commerce privacy concerns. Our research identified which personal information types are considered insensitive and which are mediumsensitive or high-sensitive in e-commerce services and found a consensus among consumers on which personal information types are more sensitive. At the individual level, privacy experience, risk propensity, and gender affect information sensitivity. At the situational level, website social presence, website familiarity, and perceived privacy control affect information sensitivity. Perceived information sensitivity of medium-sensitive and high-sensitive personal information types affect e-commerce privacy concerns. Our research deepens the understanding of information sensitivity and privacy concerns and provides practical insights for privacy policymakers and e-commerce service providers. © 2023, The Authors. All rights reserved.

关键词： Websites

来源：评论

学校读者我要写书评

暂无评论

A Lite Fireworks Algorithm for optimization

arXiv

引用

arXiv 2023年

作者： Mo, Haimiao Zeng, Min The School of Management Hefei University of Technology Anhui Hefei23009 China The Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education China College of Computer Science Guangdong University of Science and Technology Guangdong Province Dongguan China

The fireworks algorithm is an optimization algorithm for simulating the explosion phenomenon of fireworks. Because of its fast convergence and high precision, it is widely used in pattern recognition, optimal scheduling, and other fields. However, most of the existing research work on the fireworks algorithm is improved based on its defects, and little consideration is given to reducing the number of parameters of the fireworks algorithm. The original fireworks algorithm has too many parameters, which increases the cost of algorithm adjustment and is not conducive to engineering applications. In addition, in the fireworks population, the unselected individuals are discarded, thus causing a waste of their location information. To reduce the number of parameters of the original Fireworks Algorithm and make full use of the location information of discarded individuals, we propose a simplified version of the Fireworks Algorithm. It reduces the number of algorithm parameters by redesigning the explosion operator of the fireworks algorithm and constructs an adaptive explosion radius by using the historical optimal information to balance the local mining and global exploration capabilities. The comparative experimental results of function optimization show that the overall performance of our proposed LFWA is better than that of comparative algorithms, such as the fireworks algorithm, particle swarm algorithm, and bat algorithm. © 2023, CC BY.

关键词： Scattering parameters

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：