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

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Research on Optimal Selection of FSC Racing Muffler FSC赛车消声器的优选研究
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315562
Liang Yi, Chang Li, Shudao Wang, Tianyi Song, Jierong Huang
{"title":"Research on Optimal Selection of FSC Racing Muffler","authors":"Liang Yi, Chang Li, Shudao Wang, Tianyi Song, Jierong Huang","doi":"10.1109/AUTEEE50969.2020.9315562","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315562","url":null,"abstract":"The muffler is an important part of the FSC racing engine, and its performance directly affects the dynamics of the racing car and the noise rule inspection of the competition. In this paper, a one-dimensional simulation model of the engine was established, and the simulation model is validated through bench tests. Then, the five performance indicators (transmission loss, insertion loss, tailpipe noise, power loss ratio and exhaust back pressure) of the three schemes are analyzed. Finally, the actual vehicle tail pipe noise test verifies the simulation results, and the final selection is Scheme 2. This research can provide a reference for the optimization design of the exhaust system of the FSC formula racing car.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"13 1","pages":"474-477"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78852338","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
Simulation of Temperature in 40 Alpha World Cities for 20th Century Using Random Walk 20世纪40个Alpha世界城市的随机漫步温度模拟
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315724
Shaomin Yan, Guang Wu
{"title":"Simulation of Temperature in 40 Alpha World Cities for 20th Century Using Random Walk","authors":"Shaomin Yan, Guang Wu","doi":"10.1109/AUTEEE50969.2020.9315724","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315724","url":null,"abstract":"The recorded temperature provides the possibility to analyze the possible reason for temperature changes and the opportunity to use various models and methods to simulate the temperature-time curve. In this study, we use the brutal force method to generate the random walk to simulate the temperature changes in 40 world alpha cities from 1901 to 1998 in form of random walk, which is converted from the recorded temperature, and the random walk in decimal format to simulate the recorded temperature. The results show that the random walk can simulate city temperature in both forms of random walk and recorded temperature. Thus this study provides an alternative model to simulate city temperature, which gives alternative explanation to the global warming.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"5 1","pages":"121-124"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79430279","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 and Implementation of an Android-based Broiler Production Environment Monitoring System 基于android的肉鸡生产环境监测系统的设计与实现
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315622
Wanchao Zhang, Changxi Chen
{"title":"Design and Implementation of an Android-based Broiler Production Environment Monitoring System","authors":"Wanchao Zhang, Changxi Chen","doi":"10.1109/AUTEEE50969.2020.9315622","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315622","url":null,"abstract":"In order to solve the problem of real-time monitoring of environmental data in broilers, The author designs an intelligent handheld terminal based on Android, The environment temperature and humidity that can pair of farm, illuminance and indoor harmful gas concentration undertake real - time and remote wireless monitoring. The results show that: Operators can use handheld terminals to timely access to the current temperature, humidity, lighting, carbon dioxide and other concentrations of broiler farm data, Alarm of data exceeding the threshold value, at the same time, real-time video monitoring is realized in the breeding environment. The system has created a new model for managing mobile farms, Suitable for all kinds of farms, it has the advantages of low research and development cost, strong expansion ability and easy maintenance, Facilitate a wide range of promotion.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"12 1","pages":"125-128"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82049180","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: 2
A photovoltaic (PV) power system data reconstruction method based on subset partial least squares (PLS) 基于子集偏最小二乘(PLS)的光伏发电系统数据重构方法
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315696
Yan Zhou, Bofeng Xu, Xian Jia
{"title":"A photovoltaic (PV) power system data reconstruction method based on subset partial least squares (PLS)","authors":"Yan Zhou, Bofeng Xu, Xian Jia","doi":"10.1109/AUTEEE50969.2020.9315696","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315696","url":null,"abstract":"In this paper, a data reconstruction method was proposed to reconstruct the missing current data of a panel string of a PV power system. Two training sets and one evaluation set from a practical PV power system were used to build and evaluate the original PLS data reconstruction model. To increase the accuracy of data reconstruction model, a subset PLS model was built and evaluated using the evaluation set. Results indicates the proposed method can increase the accuracy of data reconstruction effectively.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"2 1","pages":"6-9"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83711825","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
Transform: Complicating Control Flow by Inserting Confusion Instructions 转换:通过插入混淆指令使控制流复杂化
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315610
Zhou Hongwei, Zhang Yuchen, Qie Guanlin, Wu Dangyang, Yu Jinhui, Cao Xuyang
{"title":"Transform: Complicating Control Flow by Inserting Confusion Instructions","authors":"Zhou Hongwei, Zhang Yuchen, Qie Guanlin, Wu Dangyang, Yu Jinhui, Cao Xuyang","doi":"10.1109/AUTEEE50969.2020.9315610","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315610","url":null,"abstract":"There is a certain mapping relationship between software control flow and data flow. Side channel attacks can take advantage of this relationship, peep some secret data of software through software control flow. To solve this problem, We insert code snippets that is able to obfuscate software control flow inside the. In this way, the connection between the software control flow and the data flow is disrupted, and it greatly increased the difficulty of side channel analysis. We implemented the prototype system, called as transform in the Ubuntu 18.04. Our tests show that transform does not affect the original semantics of the software. Although transform increase the size of software codes on the degree of confusion, it only introduce the performance overhead which is about 5%.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"21 1","pages":"512-516"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87790569","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 Scalable Low-power Accelerator for Sparse Recurrent Neural Networks 稀疏递归神经网络的可扩展低功耗加速器
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315656
Jingdian Wang, Youyu Wu, Jinjiang Yang
{"title":"A Scalable Low-power Accelerator for Sparse Recurrent Neural Networks","authors":"Jingdian Wang, Youyu Wu, Jinjiang Yang","doi":"10.1109/AUTEEE50969.2020.9315656","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315656","url":null,"abstract":"As the deep learning techniques develop, the Recurrent Neural Networks are widely used, especially in speech recognition and natural language processing applications. However, the data dependency and low data reuse make RNNs hard to process on low power platforms. In this paper, we designed a voltage-scalable Low power Accelerator for SparsE RNN named LASER. Firstly, the sparse-RNN is analyzed and the processing array is designed after the network compression approach. Due to the imbalanced workload of sparse-RNN, we introduced the voltage-scaling method to keep the architecture with low power and high throughput. As the methods applied to EESEN, the system power efficiency can be improved significantly.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"1 1","pages":"129-132"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86905517","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
Drug-protein Interaction Prediction based on Improved AdaBoost Algorithm 基于改进AdaBoost算法的药物-蛋白相互作用预测
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315654
Wanrong Gu, Xianfen Xie, Ziye Zhang, Yijun Mao, Zaoqing Liang, Yichen He
{"title":"Drug-protein Interaction Prediction based on Improved AdaBoost Algorithm","authors":"Wanrong Gu, Xianfen Xie, Ziye Zhang, Yijun Mao, Zaoqing Liang, Yichen He","doi":"10.1109/AUTEEE50969.2020.9315654","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315654","url":null,"abstract":"The drug-protein interaction prediction can be used in the discovery of new drug effects. Recent studies often focus on the prediction with an independent matrix filling algorithm. The single-model matrix-filling algorithm has low accuracy, so it is difficult to obtain satisfactory results in the prediction of drug-protein research. The AdaBoost algorithm is an algorithm framework of a powerful classifier composed of multiple subclassifiers. Its usefulness and effectiveness has been proved in the research field of classification. The prediction of drug-protein is a matrix filling problem, which is a process of scoring prediction. Therefore, we improved the algorithm of AdaBoost. To transform the matrix filling problem into a classification problem with improved AdaBoost algorithm. The AdaBoost algorithm framework could be fully utilized to integrate multiple weak classifiers to improve prediction performance. Then we can make an accurate prediction of the drug-protein interaction. The experimental results based on the public data set show that the proposed algorithm outperforms most classical and recent algorithms in predicting accuracy. The limitation of single algorithm based on machine learning is overcome well. Our method improves the accuracy of prediction by mining the hidden factors better.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"27 1","pages":"166-170"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84348196","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
Privacy-Preserving of Power Consumption Big Data Based on Improved Group Signature and Homomorphic Encryption 基于改进群签名和同态加密的功耗大数据隐私保护
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315655
Rixuan Qiu, M. Ai, Fuyong Zheng, Liang Liang, Yuancheng Li
{"title":"Privacy-Preserving of Power Consumption Big Data Based on Improved Group Signature and Homomorphic Encryption","authors":"Rixuan Qiu, M. Ai, Fuyong Zheng, Liang Liang, Yuancheng Li","doi":"10.1109/AUTEEE50969.2020.9315655","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315655","url":null,"abstract":"Smart grid is a highly integrated power system that combines modern advanced information and communication, sensor measurement and automatic control technology, including a large number of smart devices, with reliability, flexibility, safety and self-healing advantages a great service. However, devices such as smart meter in the network face the issue of disclosing user privacy when collecting, processing, and transmitting large amounts of data. To solve this problem, this paper puts forward a scheme based on improved group signature and homomorphic encryption, using improved group signature to determine the public and private key of smart meter and the signature of electricity data, encrypting and aggregating the electricity data with homomorphic encryption. Finally, in the transmission of data, the electricity data is always in the form of ciphertext, and the group signature scheme with forwarding security can avoid the harm caused by the disclosure of the private key, thus playing a role in privacy-preserving.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"47 1","pages":"25-29"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82592974","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: 2
A Local Spatial Information and Lp-norm based Fuzzy C-means Clustering for Image Segmentation 基于局部空间信息和lp范数的模糊c均值聚类图像分割
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315614
Yongcheng Zhou, X. Zou, Geng Lan, X. Dai, Y. Wen
{"title":"A Local Spatial Information and Lp-norm based Fuzzy C-means Clustering for Image Segmentation","authors":"Yongcheng Zhou, X. Zou, Geng Lan, X. Dai, Y. Wen","doi":"10.1109/AUTEEE50969.2020.9315614","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315614","url":null,"abstract":"Fuzzy local information C-means clustering (FLICM) is robust to image segmentation, but its performance is unsatisfied for image segmentation corrupted by intense noise. This paper challenges image segmentation under intense noise by proposing a novel fuzzy C-means clustering. A new fuzzy factor was proposed in the method, in which local spatial information was enhanced by the neighborhood membership. It is helpful to classify different effects of the neighborhood noisy or non-noisy pixel on the central pixel, thus the proposed method greatly improves intense noise robustness. Furthermore, we take Lp-norm stead of L2-norm in the energy function to improve image segmentation accuracy. Experimental results on synthetic and real-world images show that the proposed method achieves good segmentation performance compared to the traditional FCM and its extended methods, especially for images corrupted by intense noise,.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"1 1","pages":"299-303"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89320791","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
Performance Evaluation Index Set of Frequency Control Considering Dynamic Demand Response 考虑动态需求响应的变频调速性能评价指标集
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315632
Zhenxing Li, Yaping Li, Jiantao Liu, Zhetong Ding, Kaifeng Zhang
{"title":"Performance Evaluation Index Set of Frequency Control Considering Dynamic Demand Response","authors":"Zhenxing Li, Yaping Li, Jiantao Liu, Zhetong Ding, Kaifeng Zhang","doi":"10.1109/AUTEEE50969.2020.9315632","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315632","url":null,"abstract":"Compared with traditional demand response, dynamic demand response (DDR) pays more attention to the dynamic response characteristics of resources. Thus, DDR is a new and valuable kind of frequency control resources. Meanwhile, compared with traditional hydro and thermal power resources, DDR resources can act more rapidly. Therefore, present performance evaluation index sets cannot be used directly considering the influence of DDR. In this paper, a new frequency regulation performance evaluation index set is put forward. Some indexes of this set are designed for the unique characteristics of DDR, i.e., the delay time and interval time indexes. This index set mainly involves two points. The first is control and economic performance. The second is from all frequency control stakeholders. At the same time, we also give a core performance evaluation index set considering practicality. Through the simulation analysis, the proposed indexes can evaluate the dynamic performance of power grid effectively.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"25 1","pages":"42-47"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78291032","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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