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

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Low Power Consumption Data Transmission Module Based on WOR Technology 基于WOR技术的低功耗数据传输模块
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315664
Zhenxuan Wang
{"title":"Low Power Consumption Data Transmission Module Based on WOR Technology","authors":"Zhenxuan Wang","doi":"10.1109/AUTEEE50969.2020.9315664","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315664","url":null,"abstract":"CC1101 data transmission chip produced by TI company is widely used in the industrial field to solve the data exchange and interconnection of industrial equipment, Internet of things, sensor network and other aspects. In industrial applications, low power consumption design is necessary for small volume and light weight industrial equipment. This paper presents a design scheme of low power data transmission module based on WOR technology. WOR technology can make the chip sleep in a specified period of time, significantly reducing the power consumption of the system. Through reasonable design of software process and WOR parameters, it can realize 24-hour standby under the condition of 30mah lithium battery.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"10 1","pages":"194-199"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82403991","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
A weighted positioning method for high-frequency ground wave bistatic radar 高频地波双基地雷达的加权定位方法
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315616
Yang Bai, Weibo Deng, Xin Zhang
{"title":"A weighted positioning method for high-frequency ground wave bistatic radar","authors":"Yang Bai, Weibo Deng, Xin Zhang","doi":"10.1109/AUTEEE50969.2020.9315616","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315616","url":null,"abstract":"Many kinds of measurements like time of arrival (TOA), time difference of arrival (TDOA), received signal strength (RSS) and Angle of arrival (AOA) have been used for target localization in recent years. In this paper, target localization based high-frequency (HF) ground wave bistatic radar is considered and a method called weighted localization based on the accuracy analysis of positioning is proposed. The proposed method gives a reasonable weight to every algorithm and can get an accurate estimate of target localization. The analysis is consistent with the experimental result of the simulation. Simulation results show that compared with the existing algorithm, the given weighted algorithm has higher positioning accuracy and better robustness.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"40 1","pages":"534-537"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73398031","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 Neutral Point Potential Balance of Three-phase Three-level Vienna Based on Improved Fuzzy Control 基于改进模糊控制的三相三电平维也纳中性点电位平衡研究
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315710
P. Hu, Yang Zhao, Junzhe Liu, Tingting Chen
{"title":"Research on Neutral Point Potential Balance of Three-phase Three-level Vienna Based on Improved Fuzzy Control","authors":"P. Hu, Yang Zhao, Junzhe Liu, Tingting Chen","doi":"10.1109/AUTEEE50969.2020.9315710","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315710","url":null,"abstract":"The three-level VIENNA rectifier has been widely used and researched due to its relatively simple structure and superior performance. However, due to the design of its topology, the inconsistent charge and discharge of the upper and lower capacitors on the output side of the circuit causes the midpoint potential between the two capacitors to shift. As a result, the midpoint voltage fluctuates and is unstable, which makes the safe operation of the rectifier hidden danger. Aiming at the problem of instability of the midpoint potential, this article analyzes the influence of each vector on the midpoint potential during the adjustment process in the SVPWM control process to find out which vectors will cause the midpoint potential to shift, and then increase or reduce the control amount of the corresponding vector, so the calculation of the control amount will affect the final control effect. Therefore, by improving the fuzzy control, the proportion and integral terms of the output of the fuzzy controller are separated and adjusted according to the deviation to improve the accuracy of the control quantity. And perform MATLAB simulation, the simulation results verify that the control strategy can effectively improve the stability of the midpoint potential.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"2 1","pages":"527-533"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80860412","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
Fault Detection and Identification Method of Power System Based on Deep Residual Network with Spectral Normalization 基于谱归一化深度残差网络的电力系统故障检测与识别方法
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315721
Xiaohua Li, Qibing Zhang
{"title":"Fault Detection and Identification Method of Power System Based on Deep Residual Network with Spectral Normalization","authors":"Xiaohua Li, Qibing Zhang","doi":"10.1109/AUTEEE50969.2020.9315721","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315721","url":null,"abstract":"The intelligent technology of power system gradually becomes mature. Fault detection and identification, as an important part of intelligent technology, has been widely concerned. In this paper, a fault detection and identification method based on deep residual network with spectral normalization is proposed. Firstly, this paper studies how to conFigure phasor measurement units in power system in the most efficient way. Then, the matching pursuit decomposition algorithm based on Gauss atom library is used to extract features from synchronous frequency signals and voltage signals collected by PMU. Finally, the extracted features are classified by the deep residual network with spectral normalization. The simulation results show that our method is efficient, effective and robust at the same time.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"84 1","pages":"156-160"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73753386","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
Resolving defects in bistable smectic-A liquid crystal displays 解决双稳态smic - a液晶显示缺陷
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315707
M. Maltisovs, D. Pikulins, K. Krumins, A. Ozols
{"title":"Resolving defects in bistable smectic-A liquid crystal displays","authors":"M. Maltisovs, D. Pikulins, K. Krumins, A. Ozols","doi":"10.1109/AUTEEE50969.2020.9315707","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315707","url":null,"abstract":"Bistable Smectic-A (SmA) Liquid Crystal Displays (LCDs) have attained considerable attention being one of the most promising devices for smart glass applications due to long term bistability, low haze at clear state, low transmittance at scatter state and low power consumption. Smart or switchable glass is glass with voltage dependent optical properties which can be altered if specific electrical signals are applied to the glass. However, several challenges such as long response time, complicated preparation, and high cost limit their practical applications. In this paper, driving cycle and parameter optimization for optical and operational properties improvement has been presented. Driving waveform optimization and other defect resolving methods are reviewed to further improve overall bistable Smectic-A liquid crystal display functionality and visual looks.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"9 1","pages":"243-247"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84281616","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
Pollution Source Information Recommendation Based on Collaborative Filtering Algorithm 基于协同过滤算法的污染源信息推荐
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315600
Lina Wang, Xiuying Sun
{"title":"Pollution Source Information Recommendation Based on Collaborative Filtering Algorithm","authors":"Lina Wang, Xiuying Sun","doi":"10.1109/AUTEEE50969.2020.9315600","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315600","url":null,"abstract":"The development of information technology and information systems is changing rapidly, and advanced information systems are applied to all walks of life. In the field of environmental protection, because pollution has brought a lot of trouble to social life, as well as the inherent characteristics of pollution sources, as the source of pollution information needs of environmental protection institutions and individuals, from a large number of pollution source information to find their own concern of the information is often not an easy thing; The recommendation system is the main tool to solve this contradiction. By establishing the model of analyzing user preferences, UFTB algorithm is used to analyze the type of pollution source information and scoring data that users have seen. In establishing the recommendation model for analyzing pollution source information, the modified cosine similarity is calculated by using the co-filter algorithm, and the default value is predicted to optimize the algorithm. In order to prevent over-optimization, we should take the information of eliminating the user’s non-preferred type of pollution source, get the optimization default prediction matrix, bring the similarity data into the recommended formula to get the value and use the sort, find the N user with the highest similarity to the target user, and recommend the target user the pollution source information according to their preferences. Analysis based on collaborative filtering and association-based rules based on the recommendation of pollution source information number, we can find that the affinity is not high, because the two recommended rules are based on different, so the final results will be different, but both are practical. So in practice, we can design a combination recommendation system based on a variety of recommended methods.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"49 1","pages":"319-322"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85968648","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
Modeling and Analysis of a Non-linear Electret Electrostatic Energy Harvester 非线性驻极体静电能量采集器的建模与分析
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315731
S. Niu, Chunhui Gao, Jian Chen
{"title":"Modeling and Analysis of a Non-linear Electret Electrostatic Energy Harvester","authors":"S. Niu, Chunhui Gao, Jian Chen","doi":"10.1109/AUTEEE50969.2020.9315731","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315731","url":null,"abstract":"With the rapid development of MEMS and CMOS sensors and improvement of data processing capabilities we have entered the era of the internet of everything (IoE), and the ensuing problem of sensor power supply has attracted more and more people's attention. Vibration energy harvester that can directly convert vibration energy into electrical energy from the environment have become hot topics in recent years because of the short life, large size, long-term storage and other shortcomings of traditional chemical batteries. The electrostatic vibration energy harvester is a typical harvester, which always uses beam structure to capture the environmental energy. However the working bandwidth of traditional beam is always relatively narrow, while the vibration frequency range of environment is relatively wide. Thus the capture energy efficiency of traditional beam structure is relatively low. In this paper, a nonlinear method is introduced into electret electrostatic energy harvester, which employed magnetic body structure to introduce nonlinear force. In the paper, the model of this nonlinear harvest is built, and its characteristics are analyzed. According the analysis result, magnetic force introduced can improve capture energy bandwidth, moreover, repulsive force expands the bandwidth larger than attractive force.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"73 1","pages":"96-100"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86055115","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
Basic Methodologies Used in NLP Area NLP领域使用的基本方法
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315550
Yanzhe Wang
{"title":"Basic Methodologies Used in NLP Area","authors":"Yanzhe Wang","doi":"10.1109/AUTEEE50969.2020.9315550","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315550","url":null,"abstract":"For a better understanding of how the neural network is used in natural language processing (NLP), this article lists several basic language models and some latest improvements in order to explain the development of NLP more clearly. In these models, the continue bag of words model (CBOW) and skip-gram model are two simple models with one layer. The CBOW model is used to generate or guess a target word by providing context, while the skip-gram model is used for generated other words by providing one word. For more complex models, the convolution neural network (CNN) and recurrent neural network (RNN) are widely used in the NLP area, and CNN is used for classification tasks, while RNN is more used in the translation area of NLP. Based on the RNN model, a new structure encoder and decoder is designed to solve sequence to sequence problem, and several latest improvements are based on this structure.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"30 1","pages":"505-511"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86064107","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 Vision-based Autonomous Landing of Unmanned Aerial Vehicle 基于视觉的无人机自主着陆研究
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315584
Run Ye, C. Tao, B. Yan, Ting Yang
{"title":"Research on Vision-based Autonomous Landing of Unmanned Aerial Vehicle","authors":"Run Ye, C. Tao, B. Yan, Ting Yang","doi":"10.1109/AUTEEE50969.2020.9315584","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315584","url":null,"abstract":"In order to ensure that the Unmanned Aerial Vehicle (UAV) achieves a safe and accurate landing under special conditions such as GPS signal interference, an autonomous landing method based on computer vision is proposed. Firstly, the projection model of the airborne camera is established, and the camera’s internal parameter matrix is obtained by camera calibration. Then, the “H” landing target pattern is designed to reduce the complexity of image processing, and the white backing disc is added to make the background easier to the segment. Then the pose estimation model is established and combined with the coordinate information of the feature points to complete the pose calculation. Finally, the actual flight data of the UAV is compared with the pose estimation data, and the maximum error of the position and attitude estimation values is 0. 52m and 6.22°, which can basically meet the landing requirements of the UAV, and the feasibility of the method is proved.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"9 1","pages":"348-354"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89123601","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
Generative Adversarial Network Combined with Multitasking to X-ray Cardiac Segmentation 结合多任务生成对抗网络的x射线心脏分割
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315692
Weiliang Huo, Xiaolin Tian, Yuhang Lyu
{"title":"Generative Adversarial Network Combined with Multitasking to X-ray Cardiac Segmentation","authors":"Weiliang Huo, Xiaolin Tian, Yuhang Lyu","doi":"10.1109/AUTEEE50969.2020.9315692","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315692","url":null,"abstract":"Medical image organ segmentation methods have made unprecedented breakthroughs in recent years. Computer-aided segmentation of medical images can greatly reduce the workload of doctors. Based on the characteristics of chest X-ray images, we proposed improvements over previous Generative Adversarial Network image segmentation methods by jointly a multi-task deep segmentation network for X-ray cardiac segmentation. Dilated convolution has also been added to the generator network to improve segmentation precision. The improved method verifies its performance on the public data set Japanese Society of Radiological Technology (JSRT) and compares it with other well-known medical image segmentation methods. The experimental results verify the effectiveness of the method.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"106 1","pages":"418-422"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77426613","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
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