检索结果-内蒙古大学图书馆

2021 International Conference on Advanced Electrical Equipment and Reliable Operation, AEERO 2021

作者： Rong, Zhihai Chen, Jianhua Chen, Shihe Yan, Jiangyan Shenzhen Institute of Information Technology School of Software Engineering Shenzhen China China Resources Power Technology Research Institute Co. Ltd Smart Power Generation Research Center Shenzhen China Shenzhen Polytechnic School of Mechanical and Electrical Engineering Shenzhen China

ISBN: (纸本)9781665402644

Main transformer of thermal power plant is the key electrical equipment. And it is important to evaluate the state of transformer. However, with a large number of features, it is difficult to properly fuse evaluation information and evaluate the state of transformer accurately. This paper proposed a fuzzy evaluation method based on D-S evidence theory. First, transformer testing data was collected and classified into four components: body, casing, oil and chromatography. Then, establish an evaluation model according to existing standards and expert database, which included indicator evaluation method based on fuzzy membership degree and weight calculation method based on analytic hierarchy process. After that, the component states were obtained by integrating the indicators and weights of each state quantity with evidence theory. Finally, the evaluation results of each component are fused to get the overall evaluation results of the equipment. Besides, a confirmed multi-evidences case was made to test the applicability of two improvement methods of D-S evidence theory: Yager and improved Yager. The results shows that improved Yager method has better performance in conflict evidence fusion and more suitable for equipment condition evaluation. This method can effectively judge the case of transformer oil damp defect. It is proved that this method can solve the problem that evaluation indicators are difficult to integrate. And a damp oil case was evaluated correctly, which proves the feasibility of the method. © 2021 IEEE.

关键词： Thermoelectric power plants

来源：评论

学校读者我要写书评

暂无评论

A CPK-Based Identity Authentication Scheme for IoT

引用

Computer Systems Science & engineering 2022年第3期40卷 1217-1231页

作者： Mingming Zhang Jiaming Mao Yuanyuan Ma Liangjie Xu Chuanjun Wang Ran Zhao Zhihao Li Lu Chen Wenbing Zhao State Grid Jiangsu Electric Power Co. Ltd.Information&Telecommunication BranchNanjing210008China State Grid Key Laboratory of Information&Network Security Institute of Information and CommunicationGlobal Energy Interconnection Research InstituteNanjing210003China Anhui Jiyuan Software Co.Ltd SGITGHefei230088China Engineering Research Center of Post Big Data Technology and Application of Jiangsu Province Research and Development Center of Post Industry Technology of the State Posts Bureau(Internet of Things Technology)Engineering Research Center of Broadband Wireless Communication Technology of the Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing210003China Department of Electrical Engineering and Computer Science Cleveland State UniversityCleveland44115USA

As the power Internet of Things(IoT)enters the security construction stage,the massive use of perception layer devices urgently requires an identity authentication scheme that considers both security and *** existing public key infrastructure(PKI)-based security authentication scheme is currently difficult to apply in many terminals in *** key distribution and management costs are high,which hinders the development of power IoT security *** Public Key(CPK)technology uses a small number of seeds to generate unlimited public *** is very suitable for identity authentication in the power Internet of *** this paper,we propose a novel identity authentication scheme for power *** scheme combines the physical unclonable function(PUF)with improved CPK technology to achieve mutual identity authentication between power IoT terminals and *** proposed scheme does not require third-party authentication and improves the security of identity authentication for power ***,the scheme reduces the resource consumption of power IoT *** improved CPK algorithm solves the key collision problem,and the third party only needs to save the private key and the public key *** results show that the amount of storage resources occupied in our scheme is *** proposed scheme is more suitable for the power IoT.

关键词： power Internet of Things terminal equipment identity authentication CPK PUF

来源：评论

学校读者我要写书评

暂无评论

Identification Algorithm Framework and Structural model on Input Pattern of Metamorphic Relations 9

Identification Algorithm Framework and Structural model on I...

引用

9th International Conference on Dependable Systems and Their Applications, DSA 2022

作者： Yan, Shiyu Yang, Xiaohua Lu, Zhongjian Li, Meng Gong, Helin Liu, Jie Computer School University of South China Hunan Hengyang China Intelligent Equipment Software Evaluation Engineering Technology Research Center of Hunan Hengyang China Cnnc Key Laboratory on High Trusted Computing Hunan Hengyang China Nuclear Power Institute of China Science and Technology on Reactor System Design Technology Laboratory Chengdu China

ISBN: (数字)9781665488778

ISBN: (纸本)9781665488778

Metamorphic Relation (MR) plays a crucial role in Metamorphic Testing (MT), which can be regarded as the implication relation from the input pattern to the output pattern. Based on MR's properties, the identification of Metamorphic Relations (MRs) can be from its input pattern and output pattern, respectively. However, the finding of the effective input pattern is very first and important. Especially for complicated mathematical function includes more than two input variables, we systematically analyze the structural model of input pattern in MR, propose the concept of the class of basic input pattern, as well as prove that any one input pattern can be expressed as a combination of basic input patterns in scientific computing programs. Moreover, the structural model of input pattern in MR is established based on previous proof. Finally, we put forward an identification algorithm framework and analysis its complexity. The core contribution of our method is to decompose the input pattern identification problem in multi-dimensional space into a single one-dimensional. For this reason, the examples show that the complexity of the algorithm is reduced significantly. © 2022 IEEE.

关键词： Computational complexity

来源：评论

学校读者我要写书评

暂无评论

Attack against UAV Infrared Object Detection Based on Gradient Descent Method

Attack against UAV Infrared Object Detection Based on Gradie...

引用

International Conference on Information Systems and Computer Aided Education (ICISCAE)

作者： Mingkang Xu Keyu Chen Haoli Xu Xing Yang Jun Lu Bin Qu Haoqi Gao Zhiyang Hu Mengjiang Wu Jun Chen State Key Laboratory of Pulsed Power Laser College of Electronic Engineering National University of Defense Technology Hefei China National University of Defense Technology Hefei China College of Computer Science and Software Enginering Hohai University Nanjing China

ISBN: (数字)9798350350760

ISBN: (纸本)9798350350777

At present, infrared intelligent detection technology has been widely used in various fields. Due to the development of its technology, how to interfere with important targets such as intelligent recognition of vehicles has become a hot issue in the current technical field. Therefore, this study is based on the near-infrared band. We generate vehicle target confrontation samples to interfere with infrared detector devices. This paper proposes to first collect the single-band image of the protection target through the infrared UAV, and aligns it to align the position of the protection target in the single-band image to obtain the salient features of the protection target. Then, based on the loss function calculated by machine learning method, the adversarial samples of single-band images are generated by using the basic iterative method. The constraint function is used to jointly optimize the loss function, so that the attack of the adversarial samples on the single-band detection system of the infrared UAV can reach the target value, and the adversarial samples of the infrared image in this state are obtained. Then, it is arranged in multiple positions on the target vehicle to complete the interference to the infrared detection system. We first need to complete the simulation attack experiment in the digital domain, and then complete the confrontation with the infrared detector by using a special material that meets the requirements in the physical domain. The experimental results show that the attack success rate of this method has a certain effect. This paper has a certain reference for the future research of vehicle infrared reconnaissance and anti-reconnaissance.

关键词： Infrared detectors Accuracy Target recognition Autonomous aerial vehicles Linear programming Stability analysis Protection Optimization Thermal stability Convergence

来源：评论

学校读者我要写书评

暂无评论

A Selection Method of Effective Metamorphic Relations 13

A Selection Method of Effective Metamorphic Relations

引用

13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022

作者： Zhang, Jie Hong, Jie Huang, Dafei Li, Meng Yan, Shiyu Gong, Helin School of Computing University of South China Hunan Hengyang China Engineering and Technology Research Center of Software Evaluation and Testing for Intellectual Hunan Hengyang China CNNC Key Laboratory on High Trusted Computing Hunan Hengyang China Nuclear Power Institute of China Science and Technology on Reactor System Design Technology Laboratory Chengdu China

ISBN: (数字)9781665486903

ISBN: (纸本)9781665486903

Metamorphic testing can effectively alleviate the test oracle problem. However, the program under test needs to be executed one more time;it is particularly significant to select the metamorphic relation with the highly fault-detecting ability and improve the test cost-effectiveness. Due to the limitations of existing evaluation methods in engineering applications, a validity evaluation method for metamorphic relation is presented based on single factor and multi-factor mutation scores. It can guide their priority ranking and selection. Experiments show that this method can significantly reduce test costs. © 2022 IEEE.

关键词： Cost effectiveness

来源：评论

学校读者我要写书评

暂无评论

Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection

引用

Science China(Information Sciences) 2022年第9期65卷 286-288页

作者： Yuanhong ZHONG Xia CHEN Jinyang JIANG Fan REN School of Microelectronics and Communication Engineering Chongqing University State Grid Chongqing Electric Power Research Institute Changan Software Technology Company Changan Automobile Corp.

Video anomaly detection aims to learn normal patterns and identify the samples deviating from normal patterns as anomalies. In early research, methods based on handcrafted low-level features have been widely studied. However, the representation power of low-level features is insufficient for describing various patterns, causing a bottleneck in handcrafted-feature-based anomaly detection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An RUL prediction approach for lithium-ion batteries based on FIG and SVM with multi-kernel 7

An RUL prediction approach for lithium-ion batteries based o...

引用

7th Asia Conference on power and Electrical engineering, ACPEE 2022

作者： Li, Yuxing Song, Lei Yi, Rongqing Su, Junyi Gao, Xuefeng Du, Jingcai Economic and Technological Research Institute of State Grid Jilin Electric Power Co. Ltd Charging and Switching Research Center Changchun China State Grid Jilin Electric Power Co. Ltd Marketing Department Changchun China Hefei University of Technology School of Software Engineering Hefei China Beijing Jiaotong University School of Electrical Engineering Beijing China

ISBN: (纸本)9781665418195

Lithium ion battery is a common energy storage component in life. Accurately predicting the remaining service life (rul) is significant. This article establishes a data-driven RUL prediction method. The original cycle data of the battery is processed by FIG, and the granulation data is used to replace the original data for subsequent analysis. Aiming at the kernel function selection problem of support vector machine(SVM), a multi-kernel function is established to enhance the learning and generalization capability of the model. The validation set is used to verify the feasibility and accuracy of the model and the prediction accuracy of the model is less than 1%. A Single-kernel battery life prediction model is established and compared with the hybrid core function battery life model. The comparative analysis proves that the model established in this paper has higher accuracy. © 2022 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

EBFT: Efficient BFT Consensus through Shortcut Replies

EBFT: Efficient BFT Consensus through Shortcut Replies

引用

IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Qingsheng Lei Yongjun Xia Qitao Guo Rui Hao Xiaohai Dai Weiqi Dai State Grid Hubei Electric Power Company Limited Economic & Technology Research Institute Hubei Central China Technology Development of Electric Power Company Limited Software Institute Nanjing University School of Computer Science and Technology Huazhong University of Science and Technology School of Cyber Science and Engineering Huazhong University of Science and Technology

As the core building block of blockchain technology, Byzantine Fault Tolerance (BFT) consensus has gathered renewed attention during the past decade. A large number of BFT consensus protocols have been proposed since its inception in the 1980s, the best-known of which is Practical Byzantine Fault Tolerance (PBFT). Generally speaking, PBFT consists of two sub-protocols: normal-case protocol and view-change protocol. However, it requires $7 \delta$ for a client to commit a request in the normal case, where $\delta$ represents the actual network delay. If a request happens to go through the view change process, it will take additional $7 \delta$ for a client to commit a request. To reduce the consensus latency, we propose a novel BFT consensus protocol named EBFT, which introduces the shortcut replies to the consensus design. With these shortcut replies, EBFT reduces the normal-case latency and view-change latency to $5 \delta$ and $2 \delta$, respectively. Extensive experiments are conducted to evaluate EBFT, whose results demonstrate its effectiveness.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evolutionary Discrete Optimization Inspired by Zero-Sum Game Theory

Evolutionary Discrete Optimization Inspired by Zero-Sum Game...

引用

International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Ruiran Yu Haoliang Wen Yuhan Xu School of Software Engineering South China University of Technology Guangzhou PR China School of Electric Power Engineering South China University of Technology Guangzhou PR China

In a zero-sum game, the two players compete against each other, and the gain of one player means the loss of the other. Generative adversarial networks (GANs) are models of this kind of thinking. Evolutionary algorithms (EAs) are popular and high robust methods to solve combinatorial optimization problems. However, in the middle stages of evolution, EAs usually suffer from the problem of a serious lack of population diversity. This often results in that EAs fall into local optima. This paper presents a cooperative evolutionary algorithm driven by policy-based GANs (PGAN-CEA) for solving traveling salesman problems (TSPs). PGAN-CEA adopts a policy-gradient method in reinforcement learning to train GANs to generate discrete data. First, GANs are used to construct an initial population. Then, a cooperative evolution strategy driven by GANs is used in the middle of the evolution. Further, a dual-population mechanism is utilized to assist the co-evolution of the dominant solutions generated by GANs and the solutions from the population of EAs. Test cases from TSPLIB and the Mona Lisa Problems are used to evaluate the proposed algorithm. Compared with other GAN-based algorithms, the proposed algorithm can mitigate the problem of local convergence and achieves certain improvements in quite a few performance indicators.

关键词： Training Heuristic algorithms Sociology Evolutionary computation Reinforcement learning Games Traveling salesman problems

来源：评论

学校读者我要写书评

暂无评论

Generating Frequency-limited Adversarial Examples to Attack Multi-focus Image Fusion Models 19

Generating Frequency-limited Adversarial Examples to Attack ...

引用

2022 IEEE SmartWorld, 19th IEEE International Conference on Ubiquitous Intelligence and Computing, 2022 IEEE International Conference on Autonomous and Trusted Vehicles Conference, 22nd IEEE International Conference on Scalable Computing and Communications, 2022 IEEE International Conference on Digital Twin, 8th IEEE International Conference on Privacy Computing and 2022 IEEE International Conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Jin, Xin Jiang, Qian Liu, Peng Gao, Xueshuai Wang, Puming Lee, Shin-Jye Yunnan University Engineering Research Center of Cyberspace Kunming China Yunnan University School of Software Kunming China Guangxi Power Grid Co. Ltd. Nanning China National Chiao Tung University Institute of Technology Management Hsinchu Taiwan

ISBN: (纸本)9798350346558

Multi-focus image fusion techniques aim to generate all-in-focus clear images by fusing a set of images with different focused areas. Recently various deep learning based methods have been proposed for image fusion, but the robustness of these models is ignored, while neural networks are vulnerable to adversarial examples. In this work, we proposed a generator based method to attack decision map based multi-focus image fusion models. First, we train a multi-focus image fusion model as the local surrogate model and freeze its weights. Then, adversarial loss and feature separation loss are used to train the attack generator. The two losses maximize the distance of decision maps and feature maps between clean images and adversarial images respectively. Finally, the generated perturbations are limited to certain frequency components using a mask in the discrete cosine transform domain. Experimental results show that the proposed attacks result in serious performance degradation of target models. Besides, we analyze how neural networks recognize focus areas, and find that small multi-focus image fusion models mainly concern high-frequency features and are vulnerable to high frequency noises. © 2022 IEEE.

关键词： Discrete cosine transforms

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：