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2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)最新文献

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Charging Scheduling Design of Mobile Charging Vehicle 移动充电车充电调度设计
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00065
Ruru Duan, Cheng Xu
{"title":"Charging Scheduling Design of Mobile Charging Vehicle","authors":"Ruru Duan, Cheng Xu","doi":"10.1109/icceic51584.2020.00065","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00065","url":null,"abstract":"This paper proposes a mobile charging algorithm for mobile charging vehicles based on WRSNs, which uses network non-uniform clustering and low energy consumption path selection to perform reasonable charging scheduling for mobile charging vehicles. A comparative simulation experiment was carried out on MATLAB to evaluate the performance of the mobile charging algorithm. The results show that in a charging network with 150 nodes, the highest charging efficiency is about 73%, the lowest charging efficiency is about 65%, and the average achievable charging efficiency is 69%. Compared with the TSP algorithm, the network availability of the mobile charging algorithm is increased by about 26%, and the data transmission capacity is increased by about 37.5%.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121063471","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
Apply Acceleration Sampling to Learn Kick Motion for NAO Humanoid Robot 应用加速度采样学习NAO类人机器人的踢脚运动
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00068
Xinpeng Hu, Zhuolun Li, Guolong Sun, Baofu Fang
{"title":"Apply Acceleration Sampling to Learn Kick Motion for NAO Humanoid Robot","authors":"Xinpeng Hu, Zhuolun Li, Guolong Sun, Baofu Fang","doi":"10.1109/ICCEIC51584.2020.00068","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00068","url":null,"abstract":"In the current level of evolution of Soccer 3D, kick motion control plays a vital role in team’s performance. Keyframe Sampling, Optimization, and Behavior Integration (KSOBI) is an effective method for NAO robot learning to generate kick motion, which is proposed by MacAlphine. However, we observe that without strong computing power, KSOBI can prematurely shrink the exploration variance, which resulting in slow progress and may make the algorithm prone to getting local optima. This paper proposes a method for learning kick skill from demonstration, which is based on Acceleration Sampling (AS) to create and use this kicking action in the following ways: (i) observing the acceleration of the joints of another robot and calculate objective angle for each joint; (ii) optimizing the skill begin from this seed. This method is fully tested in RoboCup 3D simulation platform. With minor changes to KSOBI, our methodology considerably improves performance in generating kick motion.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121258113","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 of Portable Testing Equipment for Dynamic Parameters of a Guidance Instrument 便携式制导仪动态参数测试装置的设计
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00067
Hongtian Liu, Yi-zhuo Jia, Chao Song, Yang Cao, Dongjun Wang, Hongwei Wu, Wanjun Zhang
{"title":"Design of Portable Testing Equipment for Dynamic Parameters of a Guidance Instrument","authors":"Hongtian Liu, Yi-zhuo Jia, Chao Song, Yang Cao, Dongjun Wang, Hongwei Wu, Wanjun Zhang","doi":"10.1109/ICCEIC51584.2020.00067","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00067","url":null,"abstract":"In order to solve the problem that the existing guidance instrument detection equipment cannot monitor the laser information field during shooting, and it is difficult to distinguish the fault source when the flight failure occurs, the system is based on equipment functions, software and hardware design, wireless transmission, data processing, image detection, etc. The functional characteristics, signal analysis and processing of the detection equipment are analyzed, and the overall plan of the dynamic parameter portable detection equipment of the guidance instrument, the electrical parameter detection device, the laser information field parameter key feature detection mechanism are carried out. The dynamic detection of the parameters of the guidance instrument is of great value to guarantee shooting and failure analysis, and the benefits are obvious.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127266026","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 and Application of System Equipment Fault Diagnosis Based on Satellite Ground Station 基于卫星地面站的系统设备故障诊断研究与应用
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00021
Ke-chun Tian, Yuwen Wang, Xiaotao He, Xuanrui Qu
{"title":"Research and Application of System Equipment Fault Diagnosis Based on Satellite Ground Station","authors":"Ke-chun Tian, Yuwen Wang, Xiaotao He, Xuanrui Qu","doi":"10.1109/ICCEIC51584.2020.00021","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00021","url":null,"abstract":"In order to solve the problems of low accuracy of the fault detection of the measurement and control equipment of the satellite ground station and unable to check the fault type in time, especially the potential risks in practical engineering applications, an overall structure of the fault diagnosis system was studied and designed. This paper elaborates the composition of the satellite ground station measurement and control equipment and the extraction of fault information, introduces the principle of the fault diagnosis of the measurement and control equipment, and designs the fault diagnosis model combined with this principle. Compared with traditional methods, this model brings in the methods of Kernel Principal Component Analysis, Least Squares Support Vector Machine Algorithm and Particle Swarm Algorithm. The results show that the application of the model reduces the number of data dimension and the running computation time and realizes the adaptive extraction of deep fault features. It not only promotes the diagnostic accuracy, automation and intelligence of the system, but also improves the safety, reliability and work efficiency of the system.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068706","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
SAR Image Ship Detection Based On Deep Learning 基于深度学习的SAR图像船舶检测
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00019
Jiang Kun, Cao Yan
{"title":"SAR Image Ship Detection Based On Deep Learning","authors":"Jiang Kun, Cao Yan","doi":"10.1109/ICCEIC51584.2020.00019","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00019","url":null,"abstract":"China is a maritime power, and ship detection is particularly important under complex sea conditions. At present, deep learning plays an important role in the SAR image ship detection field. An improved yolov4-Tiny detection algorithm is proposed in this paper. The improved algorithm introduces the attention mechanism unit to enhance feature extraction and make the target feature more pro-minent. The Batch normalization optimization data set is used to increase the robustness of the training model and effectively reduce the gradient disappearance or gradient explosion. Cosine annealing is used to optimize the learning rate and speed up the fitting of deep learning model. On the basis of realizing real-time detection, the whole network further improves the detection accuracy. The experimental results show that the MAP of improved Yolov4-Tiny algorithm is 75.56%, and the FPS is 30.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127035921","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
A Framework Enhanced by Mutual Information Cross Entropy for Time Series Anomaly Detection Under Noise 基于互信息交叉熵增强的时间序列噪声异常检测框架
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00031
Sheng Mao, Jiansheng Guo, Xiangyu Fan
{"title":"A Framework Enhanced by Mutual Information Cross Entropy for Time Series Anomaly Detection Under Noise","authors":"Sheng Mao, Jiansheng Guo, Xiangyu Fan","doi":"10.1109/ICCEIC51584.2020.00031","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00031","url":null,"abstract":"In this paper, an anomaly detection framework for time series is proposed, which is enhanced by mutual information cross entropy. Based on the prediction method, the mutual information cross entropy is used to select blocks that are most related to the prediction results. Considering the effects caused by various noise rates, a prediction module including a set of recurrent neural networks is trained and reserved under different noise environments, then a classification module consists of convolutional neural networks is used to choose suitable prediction model. Based on the errors between the predicted series and the test series, anomaly detection is implemented by Neyman Pearson criterion.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124244061","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
Title Page III 第三页
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00002
{"title":"Title Page III","authors":"","doi":"10.1109/icceic51584.2020.00002","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00002","url":null,"abstract":"","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121499206","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
Robust Recognition of Truck License Plate in Mine Environment 矿山环境下货车牌照的鲁棒识别
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00015
Shi Siqi, Li Nanting, Ma Yanjun, Zheng Liping
{"title":"Robust Recognition of Truck License Plate in Mine Environment","authors":"Shi Siqi, Li Nanting, Ma Yanjun, Zheng Liping","doi":"10.1109/ICCEIC51584.2020.00015","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00015","url":null,"abstract":"To improve the decreased recognition performance for truck license plate in complex mine environment, which is caused by such factors as polluted, damaged, a robust license plate recognition method is proposed. Firstly, several candidate locations of license plate in the truck image are obtained by utilizing features of both edge and color. Furthermore, the parameter of license plate area intersection ratio is defined to find the precise localization among those above candidates. Then, a character segmentation scheme based on the gray projection method and morphological operator is used to remove those interference factors, such as frame, rivet and stain and uneven illumination. Finally, to increase the robustness of characters recognition by CNN, a self-built license plate character dataset is constructed, which contains various polluted samples obtained by manual simulation. As shown by the experimental results, the proposed method has higher accuracy in license plate location, and obtains an improvement on character recognition accuracy by 4% compared to other existed methods.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121555017","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 CPU Instruction Security CPU指令安全性研究
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00052
Haolan Wu, Qiang Wei, Zehui Wu
{"title":"Research on CPU Instruction Security","authors":"Haolan Wu, Qiang Wei, Zehui Wu","doi":"10.1109/ICCEIC51584.2020.00052","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00052","url":null,"abstract":"Based on the research of abnormal instruction, Meltdown, Spectre, undocumented instruction and so on in the processor architecture, this paper considers that instruction security is one of the core issues of processor security. Firstly, this paper analyzes the instruction execution standard, optimization technology and the relationship between instruction and microinstruction, and then summarizes four existing security problems including instruction violation description, utilization of optimization technology, hijacking updating mechanism, undocumented instruction. Then, from the mitigation measures and hardware protection technologies, the security measures for the instruction problems are explained. Finally, it concludes that the research on undocumented instruction, semantic ambiguity of documented instruction and reverse analysis of CPU internal mechanism are the development trends of future security research.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"14 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113975099","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 V2G Control of Smart Microgrid 智能微电网V2G控制研究
2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00050
Weijie Zhang, Jiansheng Wang
{"title":"Research on V2G Control of Smart Microgrid","authors":"Weijie Zhang, Jiansheng Wang","doi":"10.1109/icceic51584.2020.00050","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00050","url":null,"abstract":"Based on the rapid development of V2G and smart microgrid, a control strategy of bidirectional AC/DC grid connected module is proposed based on the modeling and analysis of V2G charging topology. The voltage and current doubles closed loop is used as the control strategy to realize AC/DC circuit rectification or inverter. PI parameters of voltage outer loop and current inner loop are adjusted respectively. PI constant current control is adopted for bi-directional DC/DC circuit to achieve charging and discharging. The model is built in the Simulink simulation environment, and the correctness of the control strategy is verified by simulation. The results show that the V2G charging pile can charge and discharge the battery according to the preset control, and the voltage and current difference between the grid-side is 180° to complete the energy flow from the battery side of the grid-side to realize the V2G charging and discharging.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132341142","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: 4
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