发布求助
文献互助 智能选刊 最新文献

2021 33rd Chinese Control and Decision Conference (CCDC)最新文献

筛选
英文 中文
Detection of False Data Injection Attacks in smart grids based on cubature Kalman Filtering 基于培养卡尔曼滤波的智能电网虚假数据注入攻击检测
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601667
Zhiwen Wang, Qi Zhang, Hongtao Sun, Jiqiang Hu
{"title":"Detection of False Data Injection Attacks in smart grids based on cubature Kalman Filtering","authors":"Zhiwen Wang, Qi Zhang, Hongtao Sun, Jiqiang Hu","doi":"10.1109/CCDC52312.2021.9601667","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601667","url":null,"abstract":"The false data injection attacks (FDIAs) in smart grids can offset the power measurement data and it can bypass the traditional bad data detection mechanism. To solve this problem, a new detection mechanism called cosine similarity ratio which is based on the dynamic estimation algorithm of square root cubature Kalman filter (SRCKF) is proposed in this paper. That is, the detection basis is the change of the cosine similarity between the actual measurement and the predictive measurement before and after the attack. When the system is suddenly attacked, the actual measurement will have an abrupt change. However, the predictive measurement will not vary promptly with it owing to the delay of Kalman filter estimation. Consequently, the cosine similarity between the two at this moment has undergone a change. This causes the ratio of the cosine similarity at this moment and that at the initial moment to fluctuate considerably compared to safe operation. If the detection threshold is triggered, the system will be judged to be under attack. Finally, the standard IEEE-14bus test system is used for simulation experiments to verify the effectiveness of the proposed detection method.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127117332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Extrapolated PSS Iterative Method for Sub-positive Definite Quaternion Equations 次正定四元数方程的外推PSS迭代法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602327
Zhang Shanshan, Huang Jingpin, Xiong Hao, Wang Yun
{"title":"Extrapolated PSS Iterative Method for Sub-positive Definite Quaternion Equations","authors":"Zhang Shanshan, Huang Jingpin, Xiong Hao, Wang Yun","doi":"10.1109/CCDC52312.2021.9602327","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602327","url":null,"abstract":"In this paper, we introduce a new splitting, called positive-definite and skew-self-conjugate splitting (PSS), and then establish a class of PSS methods similar to the Hermitian and skew-Hermitian splitting (HSS) method for iteratively solving the sub-positive definite matrix equation, and equivalently transform it iterative format on the basis of the PSS iteration method, heuristically establishes the extrapolated PSS iteration method. Theoretical analyses show that the PSS iteration method unconditionally converges to the exact solution of the equation. Using equivalent relationship between both PSS and extrapolated PSS iterations, the extrapolated PSS iteration method converges under certain conditions. Moreover, we minimize the upper bound of the spectral radius of iteration matrix. Finally, Numerical examples illustrating the effectiveness of both PSS and extrapolated PSS iterations are presented.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124865977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New approach to output feedback control of fractional-order linear systems with positive real uncertainty 具有正实不确定性的分数阶线性系统输出反馈控制的新方法
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601441
Jiekun Li, He Li, Yue Wu
{"title":"New approach to output feedback control of fractional-order linear systems with positive real uncertainty","authors":"Jiekun Li, He Li, Yue Wu","doi":"10.1109/CCDC52312.2021.9601441","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601441","url":null,"abstract":"This paper concerns with the static output feedback stabilisation of uncertain fractional-order linear systems. To solve the static output problem via linear matrix inequality approach, a new separation technique is adopted to separate the controller gain matrices from Lyapunov variable. Based on this method, the sufficient conditions for robust asymptotical stability of the closed-loop systems are established. Unlike previous methods, the proposed methods do not need equality constraints and consider an iterative search of the controller. A numerical example is provided to illustrate the validity of the proposed methods.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124916415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed Connectivity Maximization for Networked Mobile Robots with Collision Avoidance 网络移动机器人避碰的分布式连通性最大化
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601425
Yinyan Zhang, Shuai Li, Y. Wu, Qingyun Deng
{"title":"Distributed Connectivity Maximization for Networked Mobile Robots with Collision Avoidance","authors":"Yinyan Zhang, Shuai Li, Y. Wu, Qingyun Deng","doi":"10.1109/CCDC52312.2021.9601425","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601425","url":null,"abstract":"For networked mobile robots, it is important to have a good initial configuration before executing given tasks, such as cooperative tracking. In this paper, based on our recent work on the distributed estimation of algebraic connectivity for undirected graphs, we present a novel approach to realize autonomous connectivity maximization for networked mobile robots with collision avoidance. The performance of the presented approach is tested via simulations, which substantiate its effectiveness.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125072094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design of Drive Controller for Spaceborne Microwave Radar 星载微波雷达驱动控制器设计
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602824
Wang Youbo, Wu Pengfei, Fang Zhenfeng, Zhao Wanliang, Zu Fengdan
{"title":"Design of Drive Controller for Spaceborne Microwave Radar","authors":"Wang Youbo, Wu Pengfei, Fang Zhenfeng, Zhao Wanliang, Zu Fengdan","doi":"10.1109/CCDC52312.2021.9602824","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602824","url":null,"abstract":"In order to realize the control of spaceborne microwave radar with high accuracy, long service term and high reliability, this paper designed a driving controller for direct driven permanent magnet synchronous motor(PMSM) based on aerospace-level anti-fuse FPGA. The mathematical model of the structure of microwave radar is built, and the frequency response characteristics of each ring are analyzed. The least squares method is adopted for calculating the speed, which has increased the accuracy in calculating the speed. The vector control on the PMSM is realized by combining the location information collected by the dual-channel rotary transformer and the current signal collected by AD sensor. Based on the space vector pulse width modulation (SVPWM) strategy, a circular rotating field is acquired, which can increase the controlling performance. The designed airspace searching strategy can realize flexible autonomous switching between dual closed-loop and triple closed-loop controlling. The experiment results indicate that this design can control the PMSM accurately and steadily, enabling the location tracking error of the microwave radar lower than 0.02° and the speed fluctuation between ±0.6%.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125096021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Chinese Electronic Medical Record Named Entity Recognition based on FastBERT method 基于FastBERT方法的中文电子病历命名实体识别
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602374
Jianyong Tuo, Zhanzhan Liu, Qing Chen, Xin Ma, Youqing Wang
{"title":"Chinese Electronic Medical Record Named Entity Recognition based on FastBERT method","authors":"Jianyong Tuo, Zhanzhan Liu, Qing Chen, Xin Ma, Youqing Wang","doi":"10.1109/CCDC52312.2021.9602374","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602374","url":null,"abstract":"Chinese Electronic Medical Record Named Entity Recognition (CNER) is to identify and extract the entities related to medical and clinical practice from electronic medical records and classify them into pre-defined categories. In the past few years, deep learning methods have been applied to CNER and have achieved remarkable results, especially the BERT pre-training model. the BERT model can achieve good results, but the high model's training cost and slow inference speed are unbearable. In order to solve these problems, scholars use various methods to compress the BERT model, such as knowledge distillation and architecture adjustment. In this article, FastBERT is improved and applied to CNER. The sample adaptation mechanism of this model is used to pick up the inference speed. It is learned from experiments that this method can not only improve the reasoning speed of entity recognition, but also maintains good performance.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
THz Super-Resolution Imaging Based on Complex Laplacian Prior Deconvolution Algorithm 基于复拉普拉斯先验反卷积算法的太赫兹超分辨率成像
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602753
Ying Wang, F. Qi, Jinkuan Wang
{"title":"THz Super-Resolution Imaging Based on Complex Laplacian Prior Deconvolution Algorithm","authors":"Ying Wang, F. Qi, Jinkuan Wang","doi":"10.1109/CCDC52312.2021.9602753","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602753","url":null,"abstract":"Due to the long wavelength of the Terahertz (THz) wave, the imaging quality is seriously deteriorated with diffraction. To solve this problem, a simple but very effective approach based on prior knowledge and wave nature was introduced in this paper. In this prior, the image gradients are represented by Laplacian to constrain the gradient of the high-resolution image and the enhanced image when performing single image super-resolution and sharpness enhancement. Moreover, the deconvolution algorithm is expended to a complex dimension. Low-Resolution (LR) THz image was simulated by convolution the High-Resolution (HR) image with real-measured Point-Spread Function (PSF) to ensure the applicability. The numerical experiments illustrate the efficiency and effectiveness of the proposed method in terms of Peak Signal-to-Noise Ratio (PSNR), Mean-Square Error (MSE) and Structural Similarity (SSIM). Super-Resolution (SR) results show that the proposed method has good performance in convergence and suppressing ringing or jaggy artifacts.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"52 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125836696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Wildlife Small Object Detection based on Enhanced Network in Ecological Surveillance 基于增强网络的生态监测野生动物小目标检测
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602124
Wan Dai, Hongpeng Wang, Yulin Song, Yunwei Xin
{"title":"Wildlife Small Object Detection based on Enhanced Network in Ecological Surveillance","authors":"Wan Dai, Hongpeng Wang, Yulin Song, Yunwei Xin","doi":"10.1109/CCDC52312.2021.9602124","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602124","url":null,"abstract":"Visual tele-observation is an effective way for intelligent monitoring and protection of ecology and the natural environment. Different from pedestrian or rigid body detection, wildlife detection in natural scenes face more complex problems, such as the existence of wild background clutter, local or global vegetation occlusion of animals, small object, rotation, deformation, and other interfering factors. In this paper, We mainly propose a novel method for the small object problem. For our small object wild species data set, we use an SSD detector for object detection. Firstly, the K-means algorithm is used to adjust the anchor box of the SSD network. Secondly, for the situation that SSD is not good for small object detection, in conv4_3 layers of SSD, the feature enhancement module is added. Finally, aiming at the size of a small object, the network level of SSD is deleted. We have proved the feasibility of each of the three methods through experiments and combined with the three methods to verify, the recognition rate of the small target has increased by 2.67%.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125866683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Mixed Bundled Pricing Strategies for Product and Service Considering Network Effects 考虑网络效应的产品与服务混合捆绑定价策略
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601909
Xuwang Liu, Cheng Zhu, Wei Qi, Xiwang Guo
{"title":"Mixed Bundled Pricing Strategies for Product and Service Considering Network Effects","authors":"Xuwang Liu, Cheng Zhu, Wei Qi, Xiwang Guo","doi":"10.1109/CCDC52312.2021.9601909","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601909","url":null,"abstract":"The network effects of product and service have a significant impact on the pricing of product and service. As an effective sales strategy, bundling has become a new way for enterprises to increase profits. We study the optimal pricing, the optimal market share and the maximum revenue of the hybrid bundling strategy for both product and service in the presence of network effects. Based on MNL model, we analyze the optimal solution and profit difference of mixed strategy binding. The results show that the market share of mixed bundling strategy is concave in terms of revenue function when negative network effect is taken into account, and the optimal pricing, optimal market share and optimal revenue solution are obtained. Finally, the importance of considering negative network effects in product and service pricing is illustrated by numerical simulation. The research results can provide theoretical basis and decision-making reference for enterprises with negative network effect product in terms of product and service pricing.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126025326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Object Detection in unmanned vehicle with End-to End Edge-Enhanced GAN and Object Detector Network 基于端到端边缘增强GAN和目标检测器网络的无人驾驶车辆目标检测
2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601908
Shuangjian Zhang, Yong-jie Song
{"title":"Object Detection in unmanned vehicle with End-to End Edge-Enhanced GAN and Object Detector Network","authors":"Shuangjian Zhang, Yong-jie Song","doi":"10.1109/CCDC52312.2021.9601908","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601908","url":null,"abstract":"This paper proposes an efficient method for image detection for unmanned cars based on vision, and solves the problem of false localization for unmanned cars. The current SR methods based on deep learning have shown remarkable comparative advantages but remain unsatisfactory in recovering the high-frequency edge details of the images in noise-contaminated imaging conditions, we add Edge enhancement network (EEN) to GAN network to recover the high-frequency edge details. For the problem of false localization, we build a model of the bounding box of YOLOv3 with a Gaussian parameter and redesign the loss function. By using the predicted localization uncertainty and edge enhancement network, during the detection process, the proposed schemes can significantly reduce the FP and recover the high-frequency edge details. Compared to a conventional YOLOv3, the proposed algorithm, End-to-End Edge-Enhanced GAN and Object Detector Network improves the mean average precision by 4.2 on the COCO datasets.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"496 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123411240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信