2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)最新文献_第2页

Analysis of Performance Parameters of Wearable Antenna Working near Human Body 近身可穿戴天线性能参数分析

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9339164

Qiang Li, Hao Liu

引用次数: 2

Tracking Control of Wheeled Mobile Robot Based on RBF Network Supervisory Control 基于RBF网络监控的轮式移动机器人跟踪控制

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9338915

Guangyu Yang, Xiaogang Tang, Litian Liu, Lunxin Zhong, Guangming Yuan

{"title":"Tracking Control of Wheeled Mobile Robot Based on RBF Network Supervisory Control","authors":"Guangyu Yang, Xiaogang Tang, Litian Liu, Lunxin Zhong, Guangming Yuan","doi":"10.1109/ITAIC49862.2020.9338915","DOIUrl":"https://doi.org/10.1109/ITAIC49862.2020.9338915","url":null,"abstract":"Wheeled mobile robots have broad application prospects in the industry, agriculture, national defense, and other fields, but there are still many problems in their tracking control. At present, the dynamic modeling of wheeled mobile robots is mostly based on nonholonomic constraints, this means that the dynamics model of the robot cannot be accurately constructed; The work scenes of a robot are complex and diverse, and the changes in the external environment place high demands on the robustness of the robot control system. The parameter tuning by the traditional PID control method often lacks stability margin when faced with complex environments. Also, the control method based on model learning cannot guarantee system stability when accurate modeling is not possible. Aiming at solving these two problems, this paper proposes a two-wheel differential mobile robot control system based on RBF (Radial basis function) network supervisory control. By combining the control characteristics of an RBF neural network and traditional PD controller, the instability problem in model learning is overcome. Improve the ability to adapt to the dynamic environment and enhance the robustness of the control system. The proposed control system is verified by the simulation experiment, and the results show that the proposed system can completely eliminate steady-state errors when tracking a dynamic target that moves regularly. The proposed system has strong robustness against various environmental changes and global progressive stability.","PeriodicalId":300389,"journal":{"name":"2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125400203","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

A Novel Deep Integrated Mode of SNS/Star Sensor Integrated Navigation System for Space Crafts 一种新型的航天器SNS/星敏感器组合导航系统深度集成模式

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9338827

Di Jiang, Fuyuan Li

{"title":"A Novel Deep Integrated Mode of SNS/Star Sensor Integrated Navigation System for Space Crafts","authors":"Di Jiang, Fuyuan Li","doi":"10.1109/ITAIC49862.2020.9338827","DOIUrl":"https://doi.org/10.1109/ITAIC49862.2020.9338827","url":null,"abstract":"Star image recognition of star sensor is widely used in integrated navigation system of space crafts. In practical engineering, the two widely applied navigation modes which combine star senor and strap down inertial navigation system are simple integration and shallow integration. Compared with these two modes, deep integration mode can not only enhance the accuracy of strap-down inertial navigation system via star recognition, but it can also adopt strap-down inertial navigation system to improve the attitude accuracy output by the star sensor. However, deep integration mode is relatively more complicated and difficult to realize. An approach to realizing switchable deep integration mode is proposed. The measurement difference between SINS and star sensor is transformed and the result is used to renew the correction matrix, which is input to the star sensor to improve its output accuracy. A detailed engineering case is designed to validate the effectiveness of the approach. Simulation in the engineering case indicates that the proposed deep integration provides less estimated position, speed and attitude error and faster convergence speed than simple and shallow integration.","PeriodicalId":300389,"journal":{"name":"2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125588263","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

Research on Cooperative Spectrum Sensing based on Trust Scheme in Cognitive Radio Networks 认知无线网络中基于信任方案的协同频谱感知研究

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9339014

Linna Hu, Rui Shi, Minghe Mao, Qingzi Wu, Zhiyu Chen, Jingchu Wang

引用次数: 1

Testability Analysis of Typical Fault in Medium Voltage DC Switchboard 中压直流配电板典型故障的可测性分析

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9338919

Sheng Xiong, Gang Yang, Huanyu Xiao

引用次数: 0

Research on KPCA-MDT Algorithm for Intelligent Optimization of Coal Mine Drilling Device Fleets 煤矿钻机机队智能优化的KPCA-MDT算法研究

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9339080

Youzhen Zhang, Ning Zhang, Wangnian Li, Zhitao Kan

{"title":"Research on KPCA-MDT Algorithm for Intelligent Optimization of Coal Mine Drilling Device Fleets","authors":"Youzhen Zhang, Ning Zhang, Wangnian Li, Zhitao Kan","doi":"10.1109/ITAIC49862.2020.9339080","DOIUrl":"https://doi.org/10.1109/ITAIC49862.2020.9339080","url":null,"abstract":"Since the operators of drilling device fleets in underground coal mines are low in efficiency, failing to meet the requirement of downsizing and synergia there, while operational arrangement of rig fleets mainly depends on the experiences of the management, requiring the management has higher expertise, but they are not able to make accurate and reasonable judgment, this paper puts forth a method to intelligently optimize the drilling device fleets by using KPCA-MDT algorithm: first, the characteristics of strata to be operated, and the numbers of workers, drilling devices and drill stems etc. are taken as condition attributes and KPCA algorithm is applied to extract the features of the datasets to eliminate the correlations among all influencing factors; second, the training samples extracted with features are analyzed with MDT to search for the optimal weight of each attribute, and on the basis of local optimization, the classified boundary model of rigs is disturbed stochastically in an effort to find out better boundary; finally, the network optimization model of drilling device fleets aimed to minimize the overall operational period is built, and part of the decision tree is reconstituted to cut the expenditure of training time by using and adjusting the order to divide attributes in the branch path. Through testing with an experimental example at the site, the operational period is shortened by 3.79% and the accuracy of the algorithm rises by 21.2%, achieving great result from optimization. This is a reliable method to intelligently optimize the operation of drilling device fleets in the underground coal mines.","PeriodicalId":300389,"journal":{"name":"2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115565368","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

Practice of user - side Broadband power line Communication Network based on hierarchical algorithm 基于分层算法的用户端宽带电力线通信网的实践

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9339020

Yaqian Qiang, Wenbing Lu, Zhilei Hua

引用次数: 0

Tracking Characteristics and Surface Erosion Condition of Epoxy Resin for Dry-type Reactor 干式反应器用环氧树脂的跟踪特性及表面侵蚀状况

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9338876

Xuan Lu, Yongning Wang, Lidong Yan, Y. Man, Xueying Yang, Xiaoguang Zhou, Changhui Feng

{"title":"Tracking Characteristics and Surface Erosion Condition of Epoxy Resin for Dry-type Reactor","authors":"Xuan Lu, Yongning Wang, Lidong Yan, Y. Man, Xueying Yang, Xiaoguang Zhou, Changhui Feng","doi":"10.1109/ITAIC49862.2020.9338876","DOIUrl":"https://doi.org/10.1109/ITAIC49862.2020.9338876","url":null,"abstract":"Aiming at the deterioration of epoxy resin cast insulation in outdoor dry reactor under the action of long term electrical indentation partial discharge. The electrical indentation experiment platform of insulating material under inclined plate method was set up. The characteristics of electrical indentation discharge and the corrosion loss of insulating materi-al were measured and analyzed. The characteristics of partial discharge (PD), corrosion loss, hydrophobicity and surface roughness were measured experimentally. The surface morphology, 3D morphology and Fourier transform infrared (FTIR) images of epoxy resin insulating materials at different stages after discharge erosion were analyzed. Different contents were studied. The results show that the electric in-dentation process of epoxy resin insulation material has experienced initial, stable, developing and explosive phases, and the flashover discharge. With the change of the surface morphology and the formation of the surface products, the surface roughness of the materials showed an overall upward trend, and the surface roughness increased fastest during the discharge burst. The changes of surface morphology and 3D morphology of material constitute the basis for judging the insulating surface condition and corrosion damage development condition.","PeriodicalId":300389,"journal":{"name":"2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116814476","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

Performance Test of Power Service Based on Slicing Packet Network 基于分组切片网络的电力业务性能测试

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9338803

Shuyan Shao, Pengju Wang, Fei Xie, Liyan Zhang, Yimeng Wang

{"title":"Performance Test of Power Service Based on Slicing Packet Network","authors":"Shuyan Shao, Pengju Wang, Fei Xie, Liyan Zhang, Yimeng Wang","doi":"10.1109/ITAIC49862.2020.9338803","DOIUrl":"https://doi.org/10.1109/ITAIC49862.2020.9338803","url":null,"abstract":"With the development of large-bandwidth and IP-based bearer services in the power communication network, the existing SDH+PTN transmission system has been unable to meet the business development requirements during the “14th Five-Year Plan” period. SPN technology has evolved from PTN technology, which not only can provide ultra-large bandwidth, but also has highly reliable hard isolation (FlexE), which can carry low-delay scheduling data networks and other control services in areas I and II, as well as Carrying large-bandwidth data communication networks and other management services in areas III and IV. This paper proposes a test plan for the SPN analog networking, and tests the service isolation capability, transmission delay, and hybrid networking capabilities of the SPN networking. The analysis and comparison of the test results can provide support for the introduction of SPN technology by Shandong Electric Power during the “Fourteenth Five-Year Plan” period, and at the same time lay the foundation for the development of the transmission system of the electric power communication network.","PeriodicalId":300389,"journal":{"name":"2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129866534","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

Prediction of ionospheric electron concentration based on Wavelet Neural Network 基于小波神经网络的电离层电子浓度预测

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Pub Date : 2020-12-11 DOI: 10.1109/ITAIC49862.2020.9338795

N. Weijun, Zhang Xueqing, Gao Hefei

引用次数: 0