检索结果-内蒙古大学图书馆

An H∞ Load Frequency control Scheme for Multi-Area Power System Under Cyber-Attacks and Time-Varying Delays

IEEE Transactions on Power Systems 2023年第2期38卷 1336-1349页

作者： Zhang, Guangdou Li, Jian Bamisile, Olusola Xing, Yankai Cai, Dongsheng Huang, Qi University of Electronic Science and Technology of China Power System Wide-Area Measurement and Control Sichuan Province Key Laboratory School of Mechanical and Electrical Engineering Sichuan Chengdu610056 China Chengdu University of Technology College of Nuclear Technology and Automation Engineering Sichuan611400 China

In the power system, the application of the signals transmitted from the sensors to the controller can significantly improve the dynamic performance. However, cyber-attacks and time delays exist widely in the communication network, which has a considerable effect on stability, operation, and control. In this paper, an ${{\boldsymbol{H}}_\infty }$ load frequency control (LFC) scheme for multi-area power systems under cyber-attacks and time-varying delays is investigated. First, false data injection attacks (FDIA), as well as denial of service (DoS) attacks, are viewed as two typical cyber-attacks and introduced into the multi-area power system. Then, the state-space equations of the LFC power system under these two attacks and time-varying delays are analyzed and modeled. Furthermore, by using Lyapunov stability theory and linear matrix inequality (LMI) method, an ${{\boldsymbol{H}}_\infty }$ LFC scheme for attacked and delayed power systems is developed. The purpose of the proposed controller is to guarantee the closed-loop system exponentially mean-square stable with prescribed ${{\boldsymbol{H}}_\infty }$ performance. Finally, a three-area LFC system is employed to demonstrate the effectiveness of the proposed mechanism. The simulation results verified that the control performance of an attacked and delayed system can be improved significantly via the designed controller. © 1969-2012 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

REVIEW ON HUMAN-CENTRIC LIGHTING FOCUSING ON SMART SOLID-STATE LIGHTING AND SWITCHABLE GLAZING

引用

Journal of Green Building 2025年第2期20卷 199-225页

作者： Mathew, Veena George, Anna Merine Varghese, Susan G. Kurian, Ciji Pearl Augustine, Nevin George, V.I. Department of Electrical and Electronics Engineering Mar Athanasius College of Engineering Kerala Kothamangalam686666 India Department of Electronics & Communication Engineering BMS Institute of Technology & Management Bengaluru560064 India Department of Electrical and Electronics Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal 576104 India Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal 576104 India Department of Electrical and Electronics Engineering Mar Baselios Christian College of Engineering & Technology Kerala Peermade685531 India

This study presents a literature review on human centric lighting, utilizing solid-state lighting and switchable glazing, which has immense potential to create comfortable and productive environments. Windows and shading devices of a building are the essential components that allow natural daylight to enter indoors, thereby maintaining a relationship between the interior and exterior environments. Artificial light sources are always integrated with natural light to provide the right lighting environment. Achieving a balance between natural and artificial light is crucial;the efficiency depends on how effectively artificial light is combined with daylight. This paper explores the benefits of intelligent solid-state lighting and switchable glazing technology in creating a comfortable and energy-efficient environment. Lighting metrics for assessing circadian entrainment and algorithms for optimizing visual and thermal comfort along with energy efficiency are the main topics of concern. By optimizing lighting and temperature control, workplaces can increase productivity and promote circadian entrainment. This review considers papers mainly from 2004 to 2023, challenges and problems in implementation, along with future directions are also considered. If the right spectrally controllable source is designed by giving a suitable light exposure for the right duration, it is possible to achieve comfort, health, and energy efficiency. This integrative lighting solution provides new and innovative ways to enhance our daily lives. Climate-responsive algorithms seem more reliable for switchable glazing;overall circadian performance improves when mixed with natural light. © 2025, college Publishing. All rights reserved.

关键词： Glazes

来源：评论

学校读者我要写书评

暂无评论

Failure Mode Analysis and Infrared Image Recognition of Crystalline Silicon PV Module 23

Failure Mode Analysis and Infrared Image Recognition of Crys...

引用

Proceedings of the 2023 5th International Conference on Video, Signal and Image Processing

作者： Ziyi Li Lijie Wang Jianbo Sun Xinyu Lu Xianwen Zhu School of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology China

ISBN: (纸本)9798400709272

In this paper, the fault analysis of crystalline silicon photovoltaic modules is studied. The Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) methods are used to analyze the failure mode and its causes. Based on the results of fault analysis, the infrared image analysis and recognition methods are studied for the two fault modes of infrared hot spot and component shedding of Photovoltaic(PV) modules. The YOLOv5s image recognition method based on clustering improvement and feature enhancement is discussed. The experimental results show that the YOLOv5s image recognition algorithm with clustering improvement and feature enhancement improves the training effect of the model by using the EIOU loss function to adaptively adjust the confidence loss balance coefficient, and the detection speed (Frame Per Second, FPS) can reach 42.37 FPS; by adding InRe feature enhancement modules before each detection layer, the extraction ability of target features is improved. The mean Average Precision (mAP) of hot spot and component shedding are 94.85 % and 90.67 %, respectively, which can fully meet the needs of UAV automatic inspection.

关键词： FMEA FTA Image recognition Infrared image PV module

来源：评论

学校读者我要写书评

暂无评论

Exploiting the Direct Link in IRS Assisted NOMA Networks with Hardware Impairments

引用

Computer Modeling in engineering & Sciences 2023年第7期136卷 767-785页

作者： Ziwei Liu Xinwei Yue Shuo Chen Xuliang Liu Yafei Wang Wanwei Tang Key Laboratory of Modern Measurement&Control Technology Ministry of EducationSchool of Information and Communication EngineeringBeijing Information Science and Technology UniversityBeijing100101China The Party Committee Office Yellow River Conservancy Technical InstituteKaifeng475001China Tangshan University Tangshan063000China

Hardware impairments(HI)are always present in low-cost wireless *** paper investigates the outage behaviors of intelligent reflecting surface(IRS)assisted non-orthogonal multiple access(NOMA)networks by taking into account the impact of ***,we derive the approximate and asymptotic expressions of the outage probability for the IRS-NOMA-HI *** on the asymptotic results,the diversity orders under perfect self-interference cancellation and imperfect self-interference cancellation scenarios are obtained to evaluate the performance of the considered *** addition,the system throughput of IRS-NOMA-HI is discussed in delay-limited *** obtained results are provided to verify the accuracy of the theoretical analyses and reveal that:1)The outage performance and system throughput for IRS-NOMA-HI outperforms that of the IRS-assisted orthogonal multiple access-HI(IRS-OMA-HI)networks;2)The number of IRS elements,the pass loss factors,the Rician factors,and the value of HI are pivotal to enhancing the performance of IRS-NOMAHI networks;and 3)It is recommended that effective methods of reducing HI should be used to ensure system performance,in addition to self-interference cancellation techniques.

关键词： Hardware impairments imperfect SIC intelligent reflecting surface non-orthogonal multiple access outage probability

来源：评论

学校读者我要写书评

暂无评论

GA-PNN Based Multi-Gas Sensor Temperature Modulation Mode Study 16

GA-PNN Based Multi-Gas Sensor Temperature Modulation Mode St...

引用

16th IEEE International Conference on Electronic measurement and Instruments, ICEMI 2023

作者： Zhao, Wenjie Zhang, Xiaodong Hu, Zi'Ao Chen, Yinsheng Yan, Ruitian Xu, Dan Harbin University of Science and Technology Key Laboratory of Measurement and Control Technology and Instrumentation Heilongjiang Province China College of Measurement and Control Technology and Telecommunications Engineering Harbin University of Science and Technology Heilongjiang Province China Harbin University of Science and Technology Key Laboratory of Quantum Manipulation and Control Heilongjiang Province China

ISBN: (纸本)9798350327144

The temperature modulation technique based on semiconductor gas sensors is a kind of multi-modal characteristic signal output with temperature dependence by periodically changing the heating temperature mode of the sensor, which can effectively address the low response rate and poor selectivity issues encountered in semiconductor gas sensors. To improve the detection characteristics of the sensor for four environmental test gases, CH4, CO, C2H5OH, and NO2, this paper uses rectangular wave temperature modulation mode for low-frequency dynamic performance test analysis, discrete wavelet transform and principal component analysis for dynamic information feature extraction and dimensionality reduction, combined with GA-PNN model for optimal identification. The results show that the selectivity of gas detection is improved in all the nine designed temperature modulation modes, and the response rate is improved significantly. Among them, the gas qualitative analysis accuracy can reach 100% in the rectangular wave modulation mode with 4-5 V bias and a 20 s period, opening up a new semiconductor sensor detection path. © 2023 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Joint Vehicle Pairing, Spectrum Assignment, and Power control for Sum-Rate Maximization in NOMA-Based V2X Underlaid Cellular Networks

引用

IEEE Internet of Things Journal 2025年第12期12卷 22337-22349页

作者： Xue, Tong Zhang, Haixia Ding, Hui Yuan, Dongfeng Shandong University of Science and Technology College of Electronic and Information Engineering Shandong Qingdao266590 China Shandong Key Laboratory of Intelligent Communication and Sensing-Computing Integration Shandong Jinan250061 China Shandong University School of Control Science and Engineering Shandong Key Laboratory of Intelligent Communication and Sensing-Computing Integration Shandong Jinan250061 China

Vehicle-to-everything (V2X) underlaid cellular networks in underlaid mode suffer catastrophic co-channel interference caused by spectrum sharing, results in a reduced system sum-rate. To cope with this, this work studies a social-mobility-aware nonorthogonal multiple access (NOMA)-enabled V2X underlaid cellular network to mitigate the co-channel interference and improve the sum rate. By jointly optimizing vehicle pairing and resources, a sum-rate maximization problem is formulated under the diverse quality of service requirements of both cellular and vehicular users. The formulated problem is proved to be a nondeterministic polynomial-time (NP)-hard problem and is difficult to solve. As an alternative, we propose a NOMA-based joint vehicle pairing, spectrum assignment, and power control algorithm (NOMA-JVP-SA-PCA), with which the original problem is decomposed into two disjoint subproblems, i.e., 1) joint vehicle pairing and spectrum assignment subproblem and 2) power control subproblem. Dealing the first subproblem, we propose a heuristic social-mobility-aware vehicle pairing algorithm (HSMA-VPA) and a revised Kuhn-Munkres-based spectrum assignment algorithm (KM-SAA) to acquire the vehicle pairing and spectrum assignment solutions. Then, solving the second subproblem, a closed-form power solution is obtained utilizing a 3-D geometric power control approach (3D-PCA). Finally, we solve the original problem through an iterative method. Simulation results show that the proposed NOMA-JVP-SA-PCA effectively enhances the sum rate and outperforms the baseline algorithms around 24%-53% within a specific range. © 2025 IEEE.

关键词： Polynomial approximation

来源：评论

学校读者我要写书评

暂无评论

Design of improved road sign recognition system based on deep learning

Design of improved road sign recognition system based on dee...

引用

2022 International Conference on Geographic Information and Remote Sensing technology, GIRST 2022

作者： Ding, Wenfei Li, Wen Ma, Dezhong Electronic Information Engineering Institute Harbin Huade University Harbin China College of Measurement-Control Technology & Communications Engineering Harbin University of Science & Technology Harbin China

ISBN: (纸本)9781510662186

As the basis of intelligent vehicle environment identification, street sign recognition is a necessary condition to assist safe driving. It is of great significance for realizing automatic driving, improving intelligent transportation system and promoting smart city construction. Traditional traffic sign recognition technology is limited for complex scenes, and the recognition effect is also affected by weather and light. The road sign recognition system based on deep learning includes street sign detection and street sign recognition. YOLOv3 deep learning object detection method is adopted for road sign detection, and CCTSDB standard data set is used as experimental data to perform operations such as region trimming, batch conversion of data format, BM3D noise reduction and image preprocessing and enhancement technology. 1800 images were selected to form the training set and test set, which ensured the high efficiency and timeliness of the road sign detection algorithm. The road sign recognition system adopts the image recognition method of Darknet-53, and the algorithm is optimized. The trained system is detected under the test of CCTSDB dataset, and the detection accuracy is over 97%, and the detection time reaches 0.021s. Therefore, the system meets the requirement of accurate real-time processing of traffic sign detection and recognition system. © 2023 SPIE.

关键词： Noise abatement

来源：评论

学校读者我要写书评

暂无评论

Compound Property Learning Based on Molecular Fingerprints and Complex Network Metrics

Compound Property Learning Based on Molecular Fingerprints a...

引用

2023 China Automation Congress, CAC 2023

作者： Wen, Gaoya Song, Xiaoying Chai, Li Engineering Research Center of Metallurgical Automation and Measurement Technology Wuhan University of Science and Technology Wuhan China College of Control Science and Engineering Zhejiang University Zhejiang China

ISBN: (纸本)9798350303759

Molecular fingerprints map molecular structures into vectorized sequences and can be applied to QSAR/QSPR model learning to predict molecular properties. In this paper, we obtain fingerprint embedding matrix based on molecular structure, while deriving complex network metrics based on molecular graph structure. Inserting complex network metrics into molecular fingerprints, we construct a new molecular embedding fingerprint and construct a better CNN-based QSAR/QSPR model for compounds with the same/similar graph structures. Experiments on relative retention time prediction of PCB dataset demonstrate the effectiveness of the proposed method. © 2023 IEEE.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Research on the Wirtinger Flow algorithm based on quadratic distribution initial value 1

Research on the Wirtinger Flow algorithm based on quadratic ...

引用

1st Advanced Imaging and Information Processing Conference, AIIP 2023

作者： Xie, Zhenfei Yu, Xuelian Wang, Zhengxian Li, Heng Heilongjiang Provincial Key Laboratory of Quantum Control School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin150080 China Shenzhen Engineering Laboratory of Aerospace Detection and Imaging College of Electronic and Information Engineering Harbin Institute of Technology Shenzhen518055 China

ISBN: (纸本)9781510671904

Phase retrieval algorithms, such as the Wirtinger Flow (WF) algorithm, are widely used in various fields. As a non-convex optimization algorithm for phase retrieval, WF is commonly employed in the reconstruction of holograms in holographic image projection. These types of algorithms typically involve two stages: an initialization stage and an iterative optimization stage. In the initialization stage, an initial value is provided, and a spectral method is used to calculate an approximate solution as the initial guess. The iterative optimization stage then utilizes the Wirtinger gradient to iteratively compute and converge the initial guess to a nearby real solution, thereby obtaining the global optimal solution. However, due to the random nature of the initial values, the computed results often exhibit significant instability. To address this issue, this paper proposes an approach based on a quadratic distribution for improving the stability of the results. In the initialization stage, the initial value is set as the quadratic distribution initial value. Then, the spectral method is applied again to calculate the initial guess. Since the quadratic distribution initial value is artificially assigned, it enhances the stability of the computed results. To validate this method, the paper applies the quadratic distribution initial value to both the initialization stage of the WF algorithm and the Truncated Amplitude Flow (TAF) algorithm. A comparison is made between the results obtained using random initial value and those obtained using the quadratic distribution initial values. The results demonstrate that compared to random initial values, the quadratic distribution initial values can achieve faster and equally accurate computation results with higher stability. Finally, this method is applied to simulation experiments of in-line digital holography, and the reconstruction results from the experiments further confirm the effectiveness of our approach. © 2023 SPIE.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Research on hyperspectral image classification based on improved deep cross-domain few-shot learning 23

Research on hyperspectral image classification based on impr...

引用

Proceedings of the 2023 5th International Conference on Video, Signal and Image Processing

作者： Xinhua Luo Qingyan Wang Xintao Liang Zhen Zhang School of Measurement-Control and Communication Engineering Harbin University of Science and Technology China

ISBN: (纸本)9798400709272

In this study, an enhanced method and system for hyperspectral image classification are presented, based on deep cross-scene few-shot learning. This pertains to the domain of remote sensing image processing technology and addresses the prevalent issues of inadequate classification performance in existing techniques for hyperspectral image categorization. The core aspects of this invention encompass the following: utilization of two mapping layers to standardize the input dimensions between the source and target domains; the deployment of an embedded feature extractor to incorporate the image cubes from both the source and target domains into a space-spectral embedding environment simultaneously, ensuring that like samples are closely aligned and dissimilar ones are distanced. Through gauging the distances between each class of unlabeled and labeled samples in this space-spectral embedding zone, learning with a few number of examples in both the source and target domains is achieved. Furthermore, a conditional domain discriminator is employed to mitigate domain shifts between domains, thus solidifying the domain stability of the extracted spatial-spectral embedding features. This innovative approach allows for high-precision hyperspectral data categorization, even when only a few examples are available.

关键词： Hyperspectral image cross-scene few-shot learning

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：