{"title":"A fault location method of error correction based on ant colony algorithm for distribution network","authors":"Junkai Ge, Jing Zhang, Xiang Hu, Ti-yin Li, Haiyan Yao, Yu Su, Jiafang Wu","doi":"10.1109/IAEAC.2017.8053968","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8053968","url":null,"abstract":"Current distribution network fault location system has a weak fault tolerance. When the information uploaded by FTU is wrong, the misjudgment will often appear. The ant colony algorithm has strong robustness, and it can solve the combinatorial optimization problems better, like distribution network fault location. This paper proposes a fault location method of error correction based on ant colony algorithm for distribution network. Take Yu Xi 10 kV V loop distribution network as an example for experiments. Experiments show that when the information uploaded by FTU is wrong, the method can accurately determine the fault location. It considerably reduces the outage time and power outage scope, which is advantageous to stable power supply for distribution network.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115594756","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}
Bendong Zhao, Shanzhu Xiao, Huan-zhang Lu, Junliang Liu
{"title":"Heterogeneous area extraction based on background suppression and adaptive clustering","authors":"Bendong Zhao, Shanzhu Xiao, Huan-zhang Lu, Junliang Liu","doi":"10.1109/IAEAC.2017.8054127","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054127","url":null,"abstract":"Infrared small target detection is an extremely challenging problem, especially under a complex background. Generally, targets can be easily detected by some simple and fast algorithms in the homogeneous area, but in the heterogeneous area, advanced and complicated algorithms are always needed. Therefore, heterogeneous area extraction is an important task for us to use different detection methods in different backgrounds to achieve simplifying computation while maintaining high detection performance. In this paper, a novel heterogeneous area extraction approach is proposed. Firstly, a traditional background suppression algorithm named mean filter is used to detect a group of interesting points. Then, a new adaptive clustering algorithm based on region growing is proposed to cluster the interesting points into several clusters. Finally, heterogeneous areas can be determined according to the size of cluster and the density of interesting points in the cluster. Experimental results show that our proposed method can extract heterogeneous areas of any size quickly and accurately.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114304979","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}
Zheng Chen, Kun Li, D. Qu, X. Zhong, Lubing Sun, Wentao Ma
{"title":"A novel microstrip absorptive bandstop filter","authors":"Zheng Chen, Kun Li, D. Qu, X. Zhong, Lubing Sun, Wentao Ma","doi":"10.1109/IAEAC.2017.8054154","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054154","url":null,"abstract":"A novel absorptive bandstop microstrip filter utilizing two couplers is presented in this letter. The proposed absorptive bandstop filer (ABSF) with four ports is achieved by combing two quadrature couplers with two conventional microstrip bandstop filters. Unwanted energy within the stopband will be absorbed by absorptive port instead of reflecting to incident port so that the property of absorption could be realized. The theory is analyzed and a microstrip bandstop filter with a center frequency f0 of 5GHz is demonstrated and simulated, the maximal stopband rejection is 38 dB with an input return loss of 31 dB, which implies that almost of the input power is dissipated by the proposed ABSF.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114435158","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}
He Chunguang, Zhu Jiaming, D. Xin, Wang Lei, Zhai Guangxin, Xie Xiaolin, Liu Peng, Liu Yong
{"title":"Distribution network island separation with distributed generation (DG) based on dynamic planning","authors":"He Chunguang, Zhu Jiaming, D. Xin, Wang Lei, Zhai Guangxin, Xie Xiaolin, Liu Peng, Liu Yong","doi":"10.1109/IAEAC.2017.8054316","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054316","url":null,"abstract":"DG islanding operation can efficiently improve the reliability of customers when main power supply network has a fault. This paper installs the weight model of islanding based on the concept of minimum spanning tree. Then the non-fault area is generated by the minimum tree to form a radial distribution network when the fault is isolated. In the mean time, the tree can be separated by dynamic planning according to the goal of the restoring load as much as possible. Finally, it's to use IEEE distribution system with 118 nodes as an example to separate the island. The result shows that the method is reasonable and valid and the reliability is directly related to the output of DG.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114884541","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}
{"title":"A FPGA-based method for modeling and generation of the time-varying electromagnetic environment","authors":"Xuchen Li, D. Su, Li Li, Zhipeng Xu, Shaohua Yang","doi":"10.1109/IAEAC.2017.8054418","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054418","url":null,"abstract":"The frequency hopping radio has been widely used for its anti-interference ability. However, in the installation, testing and evaluation of short-wave frequency hopping radio, a realistic time-varying electromagnetic environment support is lacking. Hence, it is important to construct the time-varying electromagnetic environment which the short-wave frequency-hopping radio may face. To solve this problem, this paper firstly finds out live kinds of signals commonly faced by the short-wave frequency-hopping radio and extracts their time-varying parameters by signal simulations with MATLAB. After that, a model based on the traversal is proposed, which accurately reconstructs the time-varying electromagnetic environment. Finally, this model is implemented on the FPGA, which could generate a feasible time-varying signal to represent the electromagnetic environment. This device may be useful for the installation, debugging, testing, evaluation and other tasks of short-wave frequency hopping radio.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114727336","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}
{"title":"An improved method for carrier frequency offset estimation based on FFT","authors":"Peng Cheng, A. Liu, Xiaohu Liang","doi":"10.1109/IAEAC.2017.8054184","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054184","url":null,"abstract":"The estimation of carrier parameters is the key for coherent reception. FFT-based methods which have lower complexity, larger frequency regions and attractive performance have been widely used in practice. However, there is still much room for improvement for these traditional estimators. For example, the MSEs of traditional estimators would fluctuate dramatically while frequency varies, and they cannot adapt to higher SNR. Although iterative frequency estimator has attractive performance, it needs many times of iteration which would increase the computational complexity. An improved method is proposed in this paper. Simulation results indicate that better performance could be obtained by ingenious combination of traditional estimators.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115115939","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}
{"title":"RAPD: Robust and adaptive passive human detection using PHY layer information","authors":"Huafeng Mei, Xinhua Liu, Caiyun Xia, Hao Ren","doi":"10.1109/IAEAC.2017.8054258","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054258","url":null,"abstract":"Wireless device-free passive human detection is an essential primitive for a broad range of applications including asset security, emergency responses, privacy-preserving children and elderly monitoring, etc. Previous works have studied the Channel State Information (CSI) to detect moving humans by comparing static profiles and abnormal profiles, however, few of these profiles have been considered to adaptively updated to accommodate the movement of the mobile devices and day-to-day signal calibration. Moreover, the multi-antennas in MIMO systems has not further exploited to improve the detection accuracy. In this paper, we propose a robust and adaptive passive human detection system (RAPD) using a semi-supervised approach to construct signal profiles, and the profiles can be adaptively update to accommodate the movement of the mobile devices and day-to-day signal calibration. Experimental evaluation in two different scenarios demonstrates that our approach can achieve great performance improvement in spite of environment changes.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123451566","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}
{"title":"New steganalysis methods based on camera source identification and outlier detection","authors":"Yunda Wu","doi":"10.1109/IAEAC.2017.8054081","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054081","url":null,"abstract":"In order to solve the cover source mismatch problem, a new blind universal image steganalysis algorithm combining camera source identification and outlier detection is proposed in this paper. Cover images from the same source of the test image are retrieved from the reference image database as aided samples. The test image and its aided samples form a whole test set. As the stego image can be regarded as an outlier, the outlier detection is performed on the test set to judge the test image as cover or stego. This method has removed the need for training and mitigated the impact of cover source mismatch. Experiment results show that our method is effective on several JPEG steganography algorithm.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"9 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120806979","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}
{"title":"Event prediction method of expressway in video monitoring-blind area","authors":"Liyao Ma, Xiao Wang, Ding Li, M. Gao","doi":"10.1109/IAEAC.2017.8054041","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054041","url":null,"abstract":"Based on the actual traffic detection data of the upstream and downstream video monitor blind area, Support Vector Machines (SVM) algorithm was used to realize the short-term traffic flow forecasting, and VISSIM simulation technology was used build the traffic blind area prediction model. The video blind spot detection algorithm with practical engineering application value and the traffic incident monitoring solution under non-full-range video monitoring condition are put forward.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123985595","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}
Ling Li, Ya Zhou, Han Xiong, Cailin Hu, Xiafei Wei
{"title":"Collaborative filtering based on user attributes and user ratings for restaurant recommendation","authors":"Ling Li, Ya Zhou, Han Xiong, Cailin Hu, Xiafei Wei","doi":"10.1109/IAEAC.2017.8054493","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054493","url":null,"abstract":"Online recommendation service had brought economic benefits for traditional catering industry. Aimed at the status quo, user-based collaborative filtering (UCF) algorithm was applied to restaurant recommendations in this paper. However, users' preference about restaurant was affected by many factors, leading traditional UCF algorithm precision was low. In order to solve this problem, three improvement were proposed. Firstly, mean score was enhanced to the calculation of similarity. Secondly, the number of common items between two users was utilized to affect the credibility of similarity, so modification factor was added to weaken the pseudo similar error. Finally, the real personal information online users registered were used to calculate the similarity based on users' attributes. The experimental results show that the modified algorithm (AdvancedCF) can improve the accuracy of the similarity calculation and provide users with more accurate restaurant recommendations.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124467214","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}