检索结果-内蒙古大学图书馆

7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Xue, Yisheng Xue, Yixun School of Computer Science Xi'an Polytechnic University Xi'an China College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan China

ISBN: (纸本)9798350345094

Power load forecasting has been widely used in the electrical industry, but its forecasting accuracy and efficiency tuning is challenging. Recent studies have attempted to address this problem using machine learning (ML). Nevertheless, there are two drawbacks. First, the prediction accuracy is heavily dependent on model hyperparameters. Second, model training on a large volume of data takes a long time overhead. To address these problems, we propose a novel approach called CogBO based on Bayesian Optimisation (BO) with cooperative games for the selection of the search space for hyperparameter weight analysis and Bayesian Optimisation during model training. CogBO uses two strategies. The first one is named WGS, which collects hyperparameters prior to model training and pre-analyses their impact on prediction accuracy through a combinatorial game. The second is called BOK, which is based on a Bayesian optimisation algorithm to repartition the parameter space by combining the degree of influence of the weights of the hyperparameters in WGS. We use a real test dataset to set up baseline experiments comparing linear analysis, regression analysis, and combinatorial game analysis with and without Bayesian optimisation for evaluating CogBO. The results in our experimental setting show that CogBO improves the prediction accuracy by almost 13% by the combinatorial game weighting of hyperparameters, while at the same time reduces time overhead by almost 30% on average, © 2023 IEEE.

关键词： Regression analysis

来源：评论

学校读者我要写书评

暂无评论

Calibratable Polymorphic Temperature Sensor for Detecting Fault Injection and Side-Channel Attacks

Calibratable Polymorphic Temperature Sensor for Detecting Fa...

引用

IEEE International Workshop on Hardware-Oriented Security and Trust (HOST)

作者： Tasnuva Farheen Sourav Roy Jia Di Shahin Tajik Domenic Forte Department of Electrical and Computer Engineering University of Florida Department of Electrical and Computer Engineering University of Arkansas Department of Electrical and Computer Engineering Worcester Polytechnic Institute

ISBN: (数字)9798350373943

ISBN: (纸本)9798350373950

Security of a computing system can be compromised by physical attacks against the hardware. Side-channel attacks involve the observation of integrated circuit (IC) or system behavior to extract assets such as cryptographic keys. Fault injection attacks involve the manipulation of underlying circuits to provoke erroneous operations that lead to the escalation of privilege or leakage of secret information. Some side-channel and fault injection attacks force circuits to work at temperatures out of operating range. Several countermeasures have been proposed to detect temperature change. However, they do not perform well in wide temperature fluctuations, have a large overhead area, or introduce other reliability concerns. This paper proposes a calibratable Null Convention Logic-based (NCL) polymorphic sensor that changes its functionality with temperature and can sense whether the temperature goes below or above a carefully designed application-specific threshold. It can be used with a wide range of process technologies without requiring significant modification. Low area overhead, low power consumption, configurable nature, and easy integration make it ideal for ICs. Our results show that this sensor can work at various temperature ranges with reliable operation with ± 1 0 C confidence, 8 μm 2 area and 19.2 μW power overhead, which is approximately 40 $x$ less overhead compared to alternative techniques.

关键词： Temperature sensors Integrated circuits Temperature distribution Power demand Fluctuations Force Side-channel attacks

来源：评论

学校读者我要写书评

暂无评论

Recent advances in heterogeneous catalysis of solar-driven carbon dioxide conversion

引用

Journal of Environmental Sciences 2024年第6期140卷 165-182页

作者： Jun Xu Farzaneh Arabpour Roghabadi Ying Luo Vahid Ahmadi Qian Wang Zheng Wang Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China College of Chemistry and Chemical Engineering Henan Polytechnic UniversityJiaozuoHenan 454000China Department of Process Engineering Faculty of Chemical EngineeringTarbiat Modares UniversityTehranIran Optoelectronics and Nanophotonics Research Group Faculty of Electrical and Computer EngineeringTarbiat Modares UniversityTehranIran Graduate School of Engineering Nagoya UniversityFuro-choChikusa-kuNagoya 464-8603Japan

Solar-driven carbon dioxide(CO_(2))conversion including photocatalytic(PC),photoelectrochemical(PEC),photovoltaic plus electrochemical(PV/EC)systems,offers a renewable and scalable way to produce fuels and high-value chemicals for environment and energy *** review summarizes the basic fundament and the recent advances in the field of solar-driven CO_(2)*** the visible-light absorption is an important strategy to improve solar energy conversion *** separation and migration of photogenerated charges carriers to surface sites and the surface catalytic processes also determine the photocatalytic *** engineering including co-catalyst loading,defect engineering,morphology control,surface modification,surface phase junction,and Z-scheme photocatalytic system construction,have become fundamental strategies to obtain high-efficiency *** to photocatalysis,these strategies have been applied to improve the conversion efficiency and Faradaic efficiency of typical PEC *** PV/EC systems,the electrode surface structure and morphology,electrolyte effects,and mass transport conditions affect the activity and selectivity of electrochemical CO_(2)***,the challenges and prospects are addressed for the development of solar-driven CO_(2)conversion system with high energy conversion efficiency,high product selectivity and stability.

关键词： Solar-driven CO_(2)reduction Photocatalytic system Photoelectrochemical system Photovoltaic plus electrochemical system Surface/interface engineering

来源：评论

学校读者我要写书评

暂无评论

Privacy-Preserving Edge-Aided Eigenvalue Decomposition in Internet of Things

引用

IEEE Internet of Things Journal 2025年第12期12卷 19901-19914页

作者： Zhao, Xiaotong Zhang, Hanlin Lin, Jie Liang, Fan Kong, Fanyu Xu, Hansong Hua, Kun Qingdao University College of Computer Science and Technology Qingdao266071 China Xian Jiaotong University School of Electronic and Information Engineering Xian710049 China Sam Houston State University Department of Computer Science HuntsvilleTX77340 United States Shandong University School of Software Jinan250101 China Shanghai Jiao Tong University School of Cyber Science and Engineering Shanghai200240 China California Polytechnic State University Department of Electrical Engineering San Luis ObispoCA93407 United States

Eigenvalue decomposition (EVD) is a fundamental yet time-consuming operation with extensive applications in IoT. When the matrix dimension reaches millions, resource-limited IoT devices struggle to perform such computationally expensive operations. Edge computing, with its plentiful computing resources, offers an effective solution to this problem. However, privacy concerns arise because outsourced tasks may contain sensitive user data. In this paper, we propose the first privacy-preserving, edge-assisted EVD outsourcing scheme that securely enables users to outsource EVD tasks to edge servers. We design a privacy-preserving matrix transformation method to encode the original data, ensuring that edge servers cannot access users' private information. Additionally, we design a verification scheme that enables the user to verify the correctness of the results returned by the edge servers. Our protocol supports parallel computation by multiple edge servers, thus enhancing the efficiency of EVD. The feasibility of our proposed scheme is demonstrated through both theoretical and experimental perspectives. © 2025 IEEE.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Characteristics of a Dualchannel Three-phase Induction Motor 36

Analysis of the Characteristics of a Dualchannel Three-phase...

引用

36th International Conference on electrical Drives and Power Electronics, EDPE 2023

作者： Korkosz, Mariusz Kutsyk, Andriy Krzywdzinska-Kornak, Krystyna Suliga, Mateusz Semeniuk, Mykola Rzeszow University of Technology Faculty of Electrical and Computer Engineering Rzeszow Poland Lviv Polytechnic National University Institute of Power Engineering and Control System Lviv Ukraine

ISBN: (纸本)9798350322750

The paper analyzes the characteristics of a dual-channel three-phase induction motor. Motors designed for multi-channel power supply are dedicated to applications requiring greater reliability. Each channel allows a certain degree of increase in the ability to continue operation after the failure states. The use of a dual channel power supply is the most common way to increase drive train redundancy. This paper presents the tests of the behaviour of a dual-channel three-phase induction motor in the event of loss of power to one of the phases (in one or two channels) and single-channel operation. A correctly designed motor allows for continuous operation in single-channel power mode. Numerical and laboratory tests confirmed this assumption. It has been demonstrated that the loss of power to one phase of a channel should result in the channel being turned off. © 2023 IEEE.

关键词： Fault tolerance

来源：评论

学校读者我要写书评

暂无评论

Stochastic Physics-Informed Deep Generative Network Scenario Generation: Application on Responsive Residential Load Management

Stochastic Physics-Informed Deep Generative Network Scenario...

引用

2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Afrasiabi, Mousa Afrasiabi, Shahabodin Allahmoradi, Sarah Aghaei, Jamshid Chung, C.Y. University of Saskatchewan Department of Electrical and Computer Engineering Saskatoon Canada Lappeenranta University of Technology School of Energy Systems Department of Electrical Engineering Lappeenranta Finland Central Queensland University School of Engineering and Technology Department of Electrical Engineering Rockhampton Australia The Hing Kong Polytechnic University Department of Electrical Engineering Hong Kong

ISBN: (纸本)9781665471640

This paper introduces a stochastic model for the optimal residential responsive loads power scheduling considering participants' satisfaction. In this context, firstly, a physical-informed based generative adversarial network (PI-GAN) network is designed for scenario generation with a high correlation with the actual data. In this network, conventional GANs are improved to learn spatial-temporal features of the residential loads and physics-informed concepts. To realize the spatial feature of the complex and highly nonlinear time series like residential loads, a residual convolutional neural network (Res-CNN) is considered to learn the spatial features, while the fully temporal features are realized by gated recurrent neural networks (GNN). Then, generated scenarios are used to cover the uncertainty associated with residential loads and provide the optimal results for responsive loads, including shiftable and curtailable loads. The numerical results on actual data in London, England, verify the effectiveness of the proposed stochastic framework and superiority by comparison with conditional GAN and improved version of GAN in scenario generations impact of stochastic demand response program. © 2023 IEEE.

关键词： Demand response gated recurrent neural network physics-informed based generative adversarial network residual convolutional neural network scenario-generation

来源：评论

学校读者我要写书评

暂无评论

ℋ₂ state-feedback control for continuous semi-Markov jump linear systems with rational transition rates

引用

International Journal of Control 2023年第1期96卷 1-11页

作者： de Almeida, M. Souza, M. Fioravanti, A.R. Costa, O.L.V. School of Mechanical Engineering University of Campinas Campinas Brazil School of Electrical and Computer Engineering University of Campinas Campinas Brazil Department of Telecommunications and Control Engineering Polytechnic School University of Sao Paulo Sao Paulo Brazil

This paper presents the (Formula presented.) State-Feedback Control for Continuous Semi-Markov Jump Linear Systems where the transition rates are given by the ratio of polynomials of the sojourn time. We show that, for instance, Rayleigh-, Erlang- and a class of Weibull-distributed sojourn time can be described by such a model. We present general results on the stability and on the (Formula presented.) of Semi-Markov Jump Linear Systems and provide sum-of-squares conditions for norm calculation and state-feedback control design problems. We conclude the paper by presenting two numerical examples that point out the main features of our results and by discussing future directions and related problems. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： convex optimisation Linear systems stochastic systems sum-of-squares

来源：评论

学校读者我要写书评

暂无评论

Power System Transient Security Assessment using Unsupervised Probabilistic Deep Bayesian Neural Network

Power System Transient Security Assessment using Unsupervise...

引用

2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Afrasiabi, Shahabodin Allahmoradi, Sarah Liang, Xiaodong Afrasiabi, Mousa Aghaei, Jamshid Chung, C.Y. University of Saskatchewan Department of Electrical and Computer Engineering Saskatoon Canada Lappeenranta University of Technology School of Energy Systems Department of Electrical Engineering Lappeenranta Finland Central Queensland University School of Engineering and Technology Department of Electrical Engineering Rockhampton Australia The Hing Kong Polytechnic University Department of Electrical Engineering Hong Kong

ISBN: (纸本)9781665471640

This paper introduces an unsupervised deep Bayesian network, built upon normalizing flow and deep Bayesian network principles, to precisely evaluate the transient security condition of a power system. The proposed approach can capture locational and temporal features using an imbalanced dataset, is noise-model-free, and can handle unlabeled data. It can learn interdependencies between different signals and understand high-dimensional signals in power systems. To validate its effectiveness, the proposed method is studied using the New England power system and shows accuracy and reliability in comparison with state-of-the-art deep networks (convolutional neural network (CNN) and long short-term memory (LSTM)) and shallow networks (support vector machine (SVM) and artificial neural network (ANN)). © 2023 IEEE.

关键词： Bayesian network imbalanced dataset noise-model free normalizing flow transient security assessment unsupervised deep learning

来源：评论

学校读者我要写书评

暂无评论

DDS-PLL Architecture for Adaptive Beam Steering 21

DDS-PLL Architecture for Adaptive Beam Steering

引用

21st International System-on-Chip Design Conference, ISOCC 2024

作者： Avitabile, Gianfranco Man, Ka Lok Talarico, Claudio Polytechnic University of Bari Department of Electrical and Information Engineering BA Bari70125 Italy Xi'an Jiaotong-Liverpool University School of Advanced Technology Suzhou215123 China Gonzaga University Department of Electrical and Computer Engineering SpokaneWA99258 United States

ISBN: (纸本)9798350377088

The path loss contribution in a modern telecommunications system is particularly critical due to the higher frequencies employed. However, this can be mitigated by improving the antenna section gain. Adaptive beam steering systems are an enabling technology to seek for this objective, by focusing the antenna pattern towards a given position in the space. In this work, we propose a novel architecture for adaptive beam steering. The phase shift is introduced in the Local Oscillator (LO) path thanks to a modified DDS-PLL structure. The adaptiveness is realized through the Angle-of-Arrival (AoA) estimation of a pilot tone signal. The proposed approach is validated through a simulation campaign involving Hardware-in-the-Loop (HiL) simulations. © 2024 IEEE.

关键词： Hardware-in-the-loop simulation

来源：评论

学校读者我要写书评

暂无评论

GA-based Charger Deployment Algorithm in Indoor Wireless Rechargeable Sensor Networks

引用

Journal of Internet Technology 2023年第2期24卷 487-494页

作者： Fang, Zekun Chien, Wei-Che Zhang, Cong Hang, Nghiem Thuy Chen, Wei-Ming Department of Information Management National Dong Hwa University Taiwan Department of Computer Science and Information Engineering National Dong Hwa University Taiwan School of Electrical and Electronic Engineering Wuhan Polytechnic University China Department of Chinese Studies Vietnam National University Viet Nam

The advancement of Internet of Things technology has made continuous environmental monitoring a crucial requirement for various applications. To address the issue of the network life cycle, Wireless Rechargeable Sensor Networks (WRSNs) have emerged as a promising solution. This research is focused on WRSN applications in indoor settings such as the Industrial Internet of Things and indoor greenhouses. In such scenarios, rechargeable wireless sensing devices can gather the required information, reducing equipment costs and eliminating the inconvenience of wired sensors. This study proposes the utilization of a genetic algorithm to optimize the deployment of chargers in indoor environments. Compared to greedy algorithms, this approach can determine the best solution for charger deployment and minimize deployment expenses. © 2023 Taiwan Academic Network Management Committee. All rights reserved.

关键词： Wireless sensor networks

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：