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2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)最新文献

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Improve Mandarin Speech Recognition Using Simple Recurrent Units and SpecAugment 使用简单循环单元和SpecAugment改进普通话语音识别
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315706
Qingyuan Zhang, Xuanjie Liu
{"title":"Improve Mandarin Speech Recognition Using Simple Recurrent Units and SpecAugment","authors":"Qingyuan Zhang, Xuanjie Liu","doi":"10.1109/AUTEEE50969.2020.9315706","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315706","url":null,"abstract":"Simple Recurrent Units (SRU) is one kind of Recurrent Neural Networks, which has been explored in some tasks. However, SRU hasn’t been widely used in automatic speech recognition task. In this paper, we explore one SRU to improve the hybrid Connectionist Temporal Classification and Attention based Mandarin speech recognition system using bidirectional long short-term memory (Bi-LSTM). Besides, we also use the data augmentation strategy of SpecAugment to further improve the system. The experiments on Aishell-1 dataset show that bi-directional (Bi-SRU) outperforms BiLSTM as encoder, and some optimization strategies like label smooth and scheduled sampling also improve the accuracy. The model trained using Bi-SRU and SpecAugment achieves the best performance in the experiments.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"146 1","pages":"268-271"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77745595","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
Predictive Active Disturbance Rejection Control of Pan-tilt Visual Tracking System with Parameter Optimization 泛倾斜视觉跟踪系统参数优化的预测自抗扰控制
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315590
Shusheng Yang, Chaochen Gu, Guangyu Wei, Kaijie Wu
{"title":"Predictive Active Disturbance Rejection Control of Pan-tilt Visual Tracking System with Parameter Optimization","authors":"Shusheng Yang, Chaochen Gu, Guangyu Wei, Kaijie Wu","doi":"10.1109/AUTEEE50969.2020.9315590","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315590","url":null,"abstract":"To improve the tracking performance of the pan-tilt visual tracking system, a Predictive Active Disturbance Rejection Control (P-ADRC) with parameter optimization is proposed. In this approach, the impact of internal parameter uncertainties and external disturbances on the closed-loop system performance is suppressed. Advance prediction of the target dynamics is achieved by Singular Value Decomposition-Unscented Kalman Filter (SVD-UKF), which reduces response lag caused by Tracking Differentiator (TD) in ADRC and visual processing. To realize optimal performance of P-ADRC, the Adaptive Particle Swarm Optimization (APSO) is used to overcome the problems of numerous parameters and difficulty in tuning. Simulation results indicate that, realizing satisfactory transient response and anti-disturbance behavior, the proposed method drastically reduces the Root Mean Square (RMS) tracking error of the pan-tilt system compared to conventional ADRC.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"25 1","pages":"19-24"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81849213","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 and Research of The Multifunctional Mobile Manipulator Based on ROS 基于ROS的多功能移动机械手的设计与研究
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315546
Chen Ling, Xiaoyue Xing, Liwu Liu, Long Zhang, Xueqiang Bai, Chao-zhi Liu
{"title":"Design and Research of The Multifunctional Mobile Manipulator Based on ROS","authors":"Chen Ling, Xiaoyue Xing, Liwu Liu, Long Zhang, Xueqiang Bai, Chao-zhi Liu","doi":"10.1109/AUTEEE50969.2020.9315546","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315546","url":null,"abstract":"The mobile manipulator is a composite robot which has the characteristics of the mobile base and the manipulator, achieves the functions of each separate platform and completes more complex tasks. This paper proposes a multifunctional configuration of a mobile manipulator which could achieve multiple functions, including navigation and positioning, manipulator control, object pose estimation, indoor planar environment detection and object grasping. It could be widely used in the field of logistics sorting and complex assembly tasks.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"26 1","pages":"86-90"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85850721","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: 3
Research on Resilience Optimization of LTE-M Train-wayside Communication System Based on SMDP 基于SMDP的LTE-M列车道旁通信系统弹性优化研究
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315615
G. Bodi, Wang Ruifeng
{"title":"Research on Resilience Optimization of LTE-M Train-wayside Communication System Based on SMDP","authors":"G. Bodi, Wang Ruifeng","doi":"10.1109/AUTEEE50969.2020.9315615","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315615","url":null,"abstract":"Aiming at the problem that the resilience of train-wayside wireless communication system based on LTE-M has not been fully improved, a method of train-wayside communication system resilience optimization based on semi-Markov decision process (SMDP) is proposed. This paper analyzes the packet loss rate, transmission delay and handover delay of cell link in LTE-M based train-wayside communication system, and takes them as indicators to quantitatively analyze the system resilience to describes the QoS of train-wayside communication system under the influence of wireless communication environment disturbance. The model free learning algorithm is used to solve the model to obtain the optimal resilience optimization strategy. The simulation results illustrate that the proposed resilience optimization strategy can enhance the QoS and recovery ability of LTE-M train-wayside communication system.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"44 1","pages":"517-522"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84291307","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
Image Noise Estimation with Using Pre-trained Conventional Neural Network 基于预训练常规神经网络的图像噪声估计
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315533
Lianmin Hu
{"title":"Image Noise Estimation with Using Pre-trained Conventional Neural Network","authors":"Lianmin Hu","doi":"10.1109/AUTEEE50969.2020.9315533","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315533","url":null,"abstract":"Noise level estimation becomes a necessary step when the noise level of the white Gaussian noise images is unknown in a realistic situation. Machine learning has brought out a series of high-performance convolutional neural networks (CNN) that work well in noise level estimation. However, studies on the pre-trained convolutional neural network are still lacking. As a result, a model based on a pre-trained Visual Geometry Group-16 network with additional regression layers was created in this research. It was then trained with a dataset that contained a series of images with different levels of additive white Gaussian noise. The results showed high performances in all ranges of the noise levels and were relatively competitive among some other algorithms. In all, a pre-trained convolutional network can estimate the noise level as accurately as some classic algorithms, and it even performed better in the high noise level range. The whole processing would be far simpler, compared to the traditional method, since CNN does not require setting parameters once the training is done.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"47 1","pages":"492-495"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78020122","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
Research on Enterprise Computer Network Security Protection Technology Based on Information Technology 基于信息技术的企业计算机网络安全防护技术研究
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315704
Yue Guo, Jie Xu, Hui Yuan, Yan Zhuang, Guowei Zhu, Yintie Zhang
{"title":"Research on Enterprise Computer Network Security Protection Technology Based on Information Technology","authors":"Yue Guo, Jie Xu, Hui Yuan, Yan Zhuang, Guowei Zhu, Yintie Zhang","doi":"10.1109/AUTEEE50969.2020.9315704","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315704","url":null,"abstract":"As information technology slowly penetrates into people’s daily lives, the application range of computer networks has become wider and wider, becoming one of the indispensable communication methods for people. The popularization of computer networks in the information age has brought great convenience to people on the one hand, but also has major hidden dangers that damage public privacy and safety. Enterprises must not only rely on computer networks and databases to share data, but also protect sensitive and valuable data from being stolen or tampered with. By trying to analyze the current status of information security protection strategies, this paper proposes an information security evaluation method in a complex network environment to guide information security protection work and provide a reference for evaluating the effectiveness of network protection.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"17 1","pages":"488-491"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78943211","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 RFID attack methods RFID攻击方法研究
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315712
Yisen Wang, Jianjing Shen, Xiaofeng Guo, Weiyu Dong
{"title":"Research on RFID attack methods","authors":"Yisen Wang, Jianjing Shen, Xiaofeng Guo, Weiyu Dong","doi":"10.1109/AUTEEE50969.2020.9315712","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315712","url":null,"abstract":"RFID technology is the core technology of the perception layer of the Internet of Things, which can realize the real-time transmission of information between objects without manual operation. However, information is transmitted through wireless channels between the reader and the electronic tag, and the electronic tag has small storage space and weak protection ability, so they are vulnerable to side channel attack and system spoofing attack, which seriously restricts the development of Internet of Things technology. This paper researches four attack methods against RFID, and constructs an RFID security detection model, which is used to analyze the vulnerabilities and possible attack paths of RFID systems.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"25 1","pages":"433-437"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79278086","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
Design of Intelligent Car Door Control System 智能车门控制系统的设计
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315577
Qi Liu, Shaocheng Qu
{"title":"Design of Intelligent Car Door Control System","authors":"Qi Liu, Shaocheng Qu","doi":"10.1109/AUTEEE50969.2020.9315577","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315577","url":null,"abstract":"This paper firstly points out that the present car door on market may lack intelligent control which can bring trouble and potential safety hazards to traffic. Secondly, it discusses and compares the characteristics of immovable home door, traditional car door and mobile home door, hope to find the possibility of transferring immovable home door technology to traditional car door. Also, it indicates that the mobile home can be seen as a bridge role between immovable home and traditional car which may give experiment support for intelligent car door control system design. Thirdly, it supplies a real object called “a mobile home system based on stm32” as a platform to conduct the experiments for actual design, combined with six sensors following two scheduled flow charts. The design of intelligent car door control system can give relief to traffic accidents due to car door problems, which may promote the development of autonomous driving technology.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"23 1","pages":"460-462"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77354290","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
Application of Lightweight Multi-pooling Convolutional Neural Network in Satellite Cloud Image Recognition 轻量级多池卷积神经网络在卫星云图识别中的应用
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315725
Xiang Wei, Feng Wang, Xi Chen
{"title":"Application of Lightweight Multi-pooling Convolutional Neural Network in Satellite Cloud Image Recognition","authors":"Xiang Wei, Feng Wang, Xi Chen","doi":"10.1109/AUTEEE50969.2020.9315725","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315725","url":null,"abstract":"Thunderstorm weather and other small-scale meteorology will have a very serious impact on people's personal and property safety. At this stage, early warning of thunderstorm weather in satellite cloud images still requires very rich professional knowledge, and it is also difficult to meet the real-time requirements of thunderstorm warning. In view of the above problems, this paper proposes a network structure, which uses deep separable convolution and residual blocks to combine with each other, and uses a multi-pooling structure for global information extraction, while ensuring accuracy and reducing the number of network parameters. Meet the real-time requirements. Experiments show that the use of the proposed lightweight multi-pooling network structure has a certain improvement in the accuracy of segmentation of thunderstorm cloud clusters, and can have a shorter response time in a satellite cloud image, compared with commonly used image segmentation, the network has also improved.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"26 1","pages":"438-442"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82152674","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
Risk Assessment of High-voltage Cable System Based on Cable Failure Probability and Failure loss 基于电缆失效概率和失效损失的高压电缆系统风险评估
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315681
Yanqun Liao, B. Hui, Yilong Wei
{"title":"Risk Assessment of High-voltage Cable System Based on Cable Failure Probability and Failure loss","authors":"Yanqun Liao, B. Hui, Yilong Wei","doi":"10.1109/AUTEEE50969.2020.9315681","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315681","url":null,"abstract":"With the rapid development of urbanization and power grids, the scale of power cable assets continues to increase. By the end of 2019, 110kV and above XLPE cables in operation have exceeded 30,000 kilometers in China. At present, some XLPE cables in operation have entered the late stage of aging or have reached the design life. How to effectively evaluate the operation risks of XLPE cable lines and arrange cable asset management strategies has become an urgent problem in the field of high-voltage cables. In this paper, a high voltage cable system risk assessment model based on cable fault probability and fault loss is proposed from two aspects of cable state health and importance. Cable state health is characterized by the probability of cable failure. By combining the Weibull distribution and the cox risk ratio model, a high-voltage cable failure probability model is established. The importance of the cable is characterized by a failure loss model that considers both economic and noneconomic factors. Based on the risk assessment model of high voltage cable systems, this paper selects relevant information of multiple high voltage cable lines, obtains the key parameters of the model, and gives a practical case analysis. The cable risk assessment model proposed in this article can provide a certain reference for asset condition assessment and strategy planning of high-voltage cables.t.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"8 1","pages":"143-146"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89466068","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
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