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2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)最新文献

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Analysis of Accident Caused by One Point Ground Fault in DC System 直流系统一点接地故障事故分析
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00211
Jin Zou, Kansheng Yu, G. Xie, Zhicheng Wang, Yangqi Huang, Yong Wan, Wei Zeng, Ning Zhou, Zhan Shu, Ying Wu, Jianming Yang, Yifeng Li
{"title":"Analysis of Accident Caused by One Point Ground Fault in DC System","authors":"Jin Zou, Kansheng Yu, G. Xie, Zhicheng Wang, Yangqi Huang, Yong Wan, Wei Zeng, Ning Zhou, Zhan Shu, Ying Wu, Jianming Yang, Yifeng Li","doi":"10.1109/ICCTEC.2017.00211","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00211","url":null,"abstract":"This paper studies mechanism of the action occurring when one point ground fault happens through the analysis of an accident caused by one point ground fault in DC system. This paper points out that relay action will be possible in the case of one point ground fault in DC system through capacitor's discharging if the distributed capacitance reaches a certain magnitude. Finally, this paper proposes corresponding solutions such as increasing relay interference and transforming the DC insulation monitoring devices in order to avoid such accidents.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114544982","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 DOA Estimation of Frequency Hopping Signal 跳频信号DOA估计方法研究
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00294
Hanjing Li, Yuwen Wang, Qiang Shu, Yongwei Li, Yingzhu Chen
{"title":"Research on DOA Estimation of Frequency Hopping Signal","authors":"Hanjing Li, Yuwen Wang, Qiang Shu, Yongwei Li, Yingzhu Chen","doi":"10.1109/ICCTEC.2017.00294","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00294","url":null,"abstract":"This paper presents a DOA estimation for frequency hopping signals. First, the modified RSS algorithm is used to focus on the frequency hopping signal of different frequency bands at a reference frequency point to obtain the focusing matrix. And then this papers estimates the value of the focusing matrix. Finally, it uses ESPRIT algorithm to realize the DOA estimation of frequency hopping signal, and the validity is verified by simulation.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129763684","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
Facial Expression Recognition Based on Arousal-Valence Emotion Model and Deep Learning Method 基于唤醒效价情绪模型和深度学习方法的面部表情识别
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00022
Yong Yang, Yue Sun
{"title":"Facial Expression Recognition Based on Arousal-Valence Emotion Model and Deep Learning Method","authors":"Yong Yang, Yue Sun","doi":"10.1109/ICCTEC.2017.00022","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00022","url":null,"abstract":"The traditional facial emotion recognition method is classifying basic emotions. But, basic emotions theory is limited to express subtle and disparate emotion. So this paper uses the arousal-valence continuous emotion space model, which can enrich emotion expression. The arousal reflects emotional intensity, and the valence indicates positive and negative emotion. The arousal and valence all have the value in the same range, which is between -1 and 1. In the experiments, it uses convolutional neural network (CNN) in the pre-trained models and support vector regression(SVR). In this model, CNN works as a trained feature extractor and SVR is adopted to train and predict the values of the arousal and valence. Through the predicted values it can be predicted the facial emotion. The contrast experimental results show that the proposed method can get better recognition result than the traditional methods.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129049446","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
Research on the Mixed Agorithm of Weighted Centroid and DV-Hop 加权质心与DV-Hop混合算法研究
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00139
Cui Zhao
{"title":"Research on the Mixed Agorithm of Weighted Centroid and DV-Hop","authors":"Cui Zhao","doi":"10.1109/ICCTEC.2017.00139","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00139","url":null,"abstract":"With the advent of intelligence, sensors has been widely used to obtain information, and the research on location of sensor nodes has become a hot spot. This paper integrates the advantages and corrects disadvantages of Weighted Centroid localization algorithm and DV-Hop localization algorithm in fixing position of nodes. Through Matlab simulation test, whether the total number of nodes is fixed and the proportion of beacon nodes is variable, or the proportion of the beacon nodes is fixed, the total number of nodes is variable, the algorithm reduces the error in locating nodes to be fixed, and improves the positioning accuracy.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129533715","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
Analysis of User Power Characteristic Weight Based on Improved ReliefF and FCM Clustering 基于改进ReliefF和FCM聚类的用户功率特征权值分析
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00133
Huizhao Li, Yungui Zhang, Xue Wang, Jinxia Xu
{"title":"Analysis of User Power Characteristic Weight Based on Improved ReliefF and FCM Clustering","authors":"Huizhao Li, Yungui Zhang, Xue Wang, Jinxia Xu","doi":"10.1109/ICCTEC.2017.00133","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00133","url":null,"abstract":"In view of the problem of low accuracy in the selection of users' power load characteristics in the analysis of user behavior in smart community, an improved ReliefF algorithm is proposed. Through the improved ReliefF algorithm model, a large number of user power data is processed. Then the FCM clustering algorithm is used for cluster analysis. The improved ReliefF algorithm is combined with the FCM algorithm to verify the effectiveness of the improved ReliefF algorithm for the model of power users. The experimental data come from an intelligent park that has been able to collect data. The improved ReliefF algorithm and FCM clustering algorithm are used to classify users. The accuracy of the result is 95.43%. It is proved that the improved ReliefF model is more reliable.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129737303","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
Study on Hydrophobic Properties Transformation of Texture Surface by Numerical Drop Impact Simulation 水滴冲击数值模拟织构表面疏水性转变研究
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00065
Zhiru Yang, Chongchong Zhu, Jianzhong Zhou, Nan Zheng, D. Le
{"title":"Study on Hydrophobic Properties Transformation of Texture Surface by Numerical Drop Impact Simulation","authors":"Zhiru Yang, Chongchong Zhu, Jianzhong Zhou, Nan Zheng, D. Le","doi":"10.1109/ICCTEC.2017.00065","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00065","url":null,"abstract":"Droplet impact experiment is an important means to explore the fluid dynamics and super-hydrophobic surface properties of materials. In this study, the droplet dynamics are analyzed mainly based on the Cassie state and the Wenzel state. The VOF model is used for numerical simulation to investigate the mechanism of the droplet's impact on the textured surface and to introduce a simple and effective method to calculate Contact angle to show surface hydrophobicity. The simulation results show that the surface hydrophobicity can be effectively improved by designing different micro-texture on the hydrophilic surface. With the increase of the impact velocity, the steady-state contact angle of the textured surface is obviously reduced. In addition, by quantitatively studying the movement of droplets on the micro-textured surface, it is found that the steady-state contact angle is related to the minimum spreading diameter of the first droplet after impact, and the smaller the diameter is, the larger the contact angle is.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130637543","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
Decision Tree Model in the Diagnosis of Breast Cancer 决策树模型在乳腺癌诊断中的应用
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00046
L. Yi, Wu Yi
{"title":"Decision Tree Model in the Diagnosis of Breast Cancer","authors":"L. Yi, Wu Yi","doi":"10.1109/ICCTEC.2017.00046","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00046","url":null,"abstract":"Breast cancer is the second leading cause of cancer death in women. At the same time, it is one of the most curable cancer if it could be diagnosed early. More and more researchers have confirmed that the decision tree model has a good ability to accurately diagnose. This paper presents a diagnostic method for breast cancer based on the decision tree model combined with feature selection. Experiments were conducted on different training test divisions of the Wisconsin Breast Cancer Data Set (WBCD), a common method used by researchers to diagnose breast cancer based on machine learning methods. In this paper, in order to reduce the complexity of the decision tree model, this paper proposed to delete some highly relevant features of ... After data correlation and independence tests, it finally chosed the tumor thickness, cell shape consistency, single epithelial cell size and mitosis as a subset of the decision tree model. Experimental results show that the classification accuracy (94.3%) significantly outperforms the state-of-theart method with respect to a variety of metrics.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123619955","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: 8
Remote Centralized Control Scheme for Wind Farms 风电场远程集中控制方案
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00212
Xiaohua Yin, Y. Tan, Mingshan Bai, Dedong Pan, Shunli Qiu, Ruiqi Pian
{"title":"Remote Centralized Control Scheme for Wind Farms","authors":"Xiaohua Yin, Y. Tan, Mingshan Bai, Dedong Pan, Shunli Qiu, Ruiqi Pian","doi":"10.1109/ICCTEC.2017.00212","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00212","url":null,"abstract":"With the country's emphasis on renewable energy, wind power has received more and more attention. The establishment of wind power remote control center can solve the problem of decentralized management of wind farms and achieve centralized management of wind farm control. The remote centralized control system of the wind farms uses a 4- layer structure. The remote centralized monitoring system mainly studies the video surveillance, and realizes the real-time and accurate monitoring of the wind farm. In order to control the scheduling flexibly, a new automatic power generation scheduling strategy is proposed to solve the problem that the wind energy is not fully utilized and the wind resources are wasted. The design of the real-time data platform of database enables data collection, data communication and processing data to be carried out quickly and effectively. The automation and intelligence of wind power control have been realized.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126318528","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 Network Security Attack Detection Algorithm in Smart Grid System 智能电网系统网络安全攻击检测算法研究
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00307
Chao Zhou, Ziying Wang, Wei Huang, Yajuan Guo
{"title":"Research on Network Security Attack Detection Algorithm in Smart Grid System","authors":"Chao Zhou, Ziying Wang, Wei Huang, Yajuan Guo","doi":"10.1109/ICCTEC.2017.00307","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00307","url":null,"abstract":"In view of all kinds of network attacks which may affect the network security of the smart grid system, an attack detection algorithm is proposed, feature extraction and training to the data such as server logs is carried out based on Hidden Markov model (HMM) to achieve the network attack detection in smart grid system. By the proposed algorithm, analysis on real data of the smart grid system in one power company is carried out, which can effectively identify common types and numbers of network attack types. Through the proposed smart grid network attack detection algorithm, network security risks in the smart grid system can be found, and the level of network security is improved.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"16 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126347122","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 Method of Fast Extract Signal Subspace Based on the Householder Transformation 一种基于Householder变换的信号子空间快速提取方法
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) Pub Date : 2017-12-01 DOI: 10.1109/ICCTEC.2017.00045
Yu Chang, Q. Wan, Changxiong Xia, Y. Wan
{"title":"A Method of Fast Extract Signal Subspace Based on the Householder Transformation","authors":"Yu Chang, Q. Wan, Changxiong Xia, Y. Wan","doi":"10.1109/ICCTEC.2017.00045","DOIUrl":"https://doi.org/10.1109/ICCTEC.2017.00045","url":null,"abstract":"The technologies of array signal processing based on subspace decomposition can break the Rayleigh limit, and have great performance and angular resolution. However, in order to obtain signal subspace, traditional methods need to apply singular value decomposition on the signal covariance matrix. Because of the large amount of calculation of singular value decomposition, it is difficult to satisfy the requirements in real-time. Given that the signal covariance matrix is conjugate-symmetric, this paper proposes a new method that can fast compute signal subspace depending on repeatedly applying householder transformation to reduce the covariance matrix order based on the power method, and it has fewer iterations and less amount of calculation.","PeriodicalId":267944,"journal":{"name":"2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128083825","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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