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

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Finite-time Synchronization Control of the Hyperchaotic Systems with Intersecting Terms 具有交项的超混沌系统的有限时间同步控制
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315715
Z. Dawei, Xing Jun, Zhang Xiyong
{"title":"Finite-time Synchronization Control of the Hyperchaotic Systems with Intersecting Terms","authors":"Z. Dawei, Xing Jun, Zhang Xiyong","doi":"10.1109/AUTEEE50969.2020.9315715","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315715","url":null,"abstract":"The global finite-time synchronization control of a type of fourth-order hyperchaotic systems with intersecting nonlinearities was studied. Firstly, the matrix form of this kind of hyperchaotic system was given to construct the master-slave synchronization models based on the generalized linear state error feedback controller. Then, the finite-time synchronization problem was equivalent to the finite-time stability of the error system originating from the master-slave hyperchaotic systems. The global finite-time stability of the error system was proven by the finite-time stability theory, further obtaining the criterion for global finite-time synchronization and the synchronization time estimation in mathematical formula. Subsequently, the theoretical results were applied to the well-known hyperchaotic Lorenz-stenflo system. The finite-time synchronization criteria for hyperchaotic Lorenz-stenflo systems were further proven by using optimization technology, and the corresponding synchronization times were estimated. Finally, the simulation was conducted by the MATLAB software, showing that two hyperchaotic Lorenz-stenflo systems could synchronize in a finite time.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"7 1","pages":"48-54"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91270630","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 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
Research on Key Technologies of Smart Grid Signal Processing Sensors 智能电网信号处理传感器关键技术研究
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315686
Lin Pang, Zhidan Lan, Xingpei Wu, Pei Wang
{"title":"Research on Key Technologies of Smart Grid Signal Processing Sensors","authors":"Lin Pang, Zhidan Lan, Xingpei Wu, Pei Wang","doi":"10.1109/AUTEEE50969.2020.9315686","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315686","url":null,"abstract":"This paper proposes a method of target source location combined with compressed sensing (CS) routing algorithm. The routing algorithm clusters the network nodes and concentrates the information of the nodes in the cluster on the cluster head. At the same time, based on the shortcomings of the traditional high-voltage switchgear temperature acquisition method, temperature sensor technology is used to collect passive wireless temperature of the high-voltage switchgear. The system has functions such as temperature measurement, alarm function, parameter setting, data storage, etc., and remote real-time online monitoring of temperature.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"62 1","pages":"223-226"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90358661","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 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
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
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
Design of mobile garbage collection robot based on visual recognition 基于视觉识别的移动垃圾收集机器人设计
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315545
Zhoulin Chang, Linzhao Hao, Hanhong Tan, Wenjing Li
{"title":"Design of mobile garbage collection robot based on visual recognition","authors":"Zhoulin Chang, Linzhao Hao, Hanhong Tan, Wenjing Li","doi":"10.1109/AUTEEE50969.2020.9315545","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315545","url":null,"abstract":"This design mainly studies the intelligent mobile garbage collection robot based on visual recognition technology, which can carry out path planning, traverse the given area, scan and identify and pick up recyclable garbage. The system is composed of navigation unit, target identification unit and sorting control unit. The navigation unit is based on ROS distributed framework, uses lidar to collect the environment information of given area, realizes SLAM function based on scanning matching algorithm, and carries out path planning through optimal path algorithm and traverses the selected area. In the process of robot traversal, the target recognition unit passes through MobileNetv3-SSD deep learning algorithm detects and classifies the target from the image acquired by the camera, obtains the coordinate position and angle information of the target, and controls the manipulator to carry out the garbage grabbing task.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"24 1","pages":"448-451"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77868854","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: 9
Automatic Scoring System for CET-4 Compositions Based on Seq2Seq+Bi-LSTM Model 基于Seq2Seq+Bi-LSTM模型的大学英语四级作文自动评分系统
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI: 10.1109/AUTEEE50969.2020.9315678
Jun Zhao, Jiulong Chen
{"title":"Automatic Scoring System for CET-4 Compositions Based on Seq2Seq+Bi-LSTM Model","authors":"Jun Zhao, Jiulong Chen","doi":"10.1109/AUTEEE50969.2020.9315678","DOIUrl":"https://doi.org/10.1109/AUTEEE50969.2020.9315678","url":null,"abstract":"In National College English Test Band 4(CET-4), manual marking mechanism for each composition involves hard work and difficulty to guarantee the accuracy and objectivity of the scoring. It is imperative to adopt an objective, accurate and efficient automatic composition marking system. With the rapid development of artificial intelligence and deep learning in natural language processing, based on the combination of Seq2Seq and Bi-LSTM, this paper proposed a new composition scoring model for National College English Test Band 4. This model combines Bi-LSTM unit and CNN structure to realize an automatic text proof reading model. The comparison of the composition before and after proof reading will generate the resulting scores. The experimental results show that the results of this model have the highest agreement with manual scoring system compared with other classic models.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"75 1","pages":"333-336"},"PeriodicalIF":0.0,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76032031","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
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
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