2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)最新文献

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Research on Rapid extraction of Android Backup Data based on UI-Automator 基于UI-Automator的Android备份数据快速提取研究
Shang Liu, Song yang Wu, Ying Zhang, Qian Luo
{"title":"Research on Rapid extraction of Android Backup Data based on UI-Automator","authors":"Shang Liu, Song yang Wu, Ying Zhang, Qian Luo","doi":"10.1109/ICICSP50920.2020.9232080","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232080","url":null,"abstract":"With the improvement of security regarding mobile phones and applications, incomplete data extraction arose due to utilizing one single method. In addition, there are various authority verification windows that need to be clicked manually, which affects the investigation efficiency. In this paper, a new automatic backup method of Android is proposed using UI-Automator automatic test mode to monitor, identify and click the prompt window of Android terminal intelligently. At the same time, this method utilizes the automatic backup module to simulate backup protocol of various manufacturers, and extract the backup of Android terminal through self-realized protocol.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133928303","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
Reduce sEMG channels for Hand Gesture Recognition 减少表面肌电信号通道的手势识别
Yali Qu, Haoyan Shang, Shenghua Teng
{"title":"Reduce sEMG channels for Hand Gesture Recognition","authors":"Yali Qu, Haoyan Shang, Shenghua Teng","doi":"10.1109/ICICSP50920.2020.9232078","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232078","url":null,"abstract":"Multi-channel surface electromyography (sEMG) acquisition devices are generally used for hand gesture recognition in the area of human-computer interaction, rehabilitation training, and artificial prosthesis. Multi-channel sEMG can capture abundant information related to muscle motion but at the cost of increased complexity and signal crosstalk. In this work, we aim to use sEMG of fewer channels to realize recognition accuracy comparable to that with more channels. Specifically, time-domain features extracted from sEMG of multiple channels are first evaluated by Sequential Forward Feature Selection method based on Mutual Information (SFFSMI), where we can achieve gesture recognition rate of 99.64%. We then apply a channel selection method by combining Relief-F algorithm with support vector machine classifier (SVM-MRCS for short) and get fewer channels. In order to maintain recognition performance comparable to that with more channels, the wavelet and wavelet packet are further used to extract features fed to a SVM classifier. Experimental results show that we can use only four out of eight channels to obtain gesture recognition accuracy of 99.53%, which well balances the recognition performance and sEMG device complexity.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130741536","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 method of Missile-borne Forward-looking Compound Angle Measurement 弹载前视复合角度测量方法
Honghua Chi, Xingzhao Liu, Yesheng Gao
{"title":"A method of Missile-borne Forward-looking Compound Angle Measurement","authors":"Honghua Chi, Xingzhao Liu, Yesheng Gao","doi":"10.1109/ICICSP50920.2020.9232122","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232122","url":null,"abstract":"In order to realize the precise navigation and strike of the missile, this paper proposes a compound angle measuring method. This method combines mono-pulse angle measurement technology and array forward-looking imaging technology, and obtains the final result by fusing the measurement results of the two technologies. Mono-pulse angle measurement technology has low computational complexity, fast data acquisition rate and strong anti-interference. The combination of mono-pulse technology and array forward-looking imaging technology can make the missile always have better angle measurement results when it is close to the target. Finally, simulation experiments verify the effectiveness of this compound angle measurement method.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114649520","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
Development of Laravel Digital Platform Based on MVC Design Pattern for Compii cated Data Structure-Take the Bible for Example 基于MVC复杂数据结构设计模式的Laravel数字平台开发——以《圣经》为例
Chao-Hsien Hsieh, Changfeng Li, Ziyi Wang, Chih-Horng Ke
{"title":"Development of Laravel Digital Platform Based on MVC Design Pattern for Compii cated Data Structure-Take the Bible for Example","authors":"Chao-Hsien Hsieh, Changfeng Li, Ziyi Wang, Chih-Horng Ke","doi":"10.1109/ICICSP50920.2020.9232045","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232045","url":null,"abstract":"The digital platform can manage the documents effectively, because it can help us to organize, query, and update the documents. Also, we can query the documents on different mobile terminal devices with the help of the network. However, some documents have complex data structure, such as the Bible. In the Bible, each chapter has its own characteristic. The topic of each chapter in the Bible is introduced in its first sentence or its first paragraph. Therefore, it is necessary to use modern digital platform to organize complex data structure in the Bible. Then, this paper designs and develops a new system. This system is based on the Laravel framework with MVC design pattern. The data components of this system are divided into three parts: Model Layer, View Layer, and Controller Layer. The feature includes the architecture of interactive software system and the technology of Laravel routing engine. The result of experiment shows that the system has an excellent processing ability of complex data structure. By using the Laravel framework, both the time of development and flow of design can be reduced efficiently.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114727696","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
Real-time Signal Acquisition Algorithm and Optimization for DSSS Broadband Underwater Acoustic Positioning DSSS宽带水声定位实时信号采集算法及优化
F. Shang, Wen Zhang, Xiangguo Chen, Yu Zhang
{"title":"Real-time Signal Acquisition Algorithm and Optimization for DSSS Broadband Underwater Acoustic Positioning","authors":"F. Shang, Wen Zhang, Xiangguo Chen, Yu Zhang","doi":"10.1109/ICICSP50920.2020.9232109","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232109","url":null,"abstract":"Traditional underwater acoustic positioning signals are difficult to achieve both high accuracy and long effective measurement distance. Therefore, a wideband underwater positioning software receiver based on Direct Sequence Spread Spectrum (DSSS) technique was designed in this paper. However, the DSSS signal has the disadvantages of requiring transmission periodic extension and Doppler sensitivity for real-time acquisition. Thus, the overlap-save cyclic correlation method was adopted in order to avoid DSSS signal transmitting periodic extension and minimize the signal width. Meanwhile, a sample frequency-shift Doppler search method was proposed to reduce the acquisition algorithm complexity caused by the Doppler sensitivity of DSSS signal. Using the two optimized methods above, the designed software receiver could be applied to various low-power processors within an acceptable processing gain loss for real-time DSSS signal acquisition. The sea experiment was conducted using the optimized software receiver, which verified the effectiveness of the optimized real-time acquisition algorithm.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115851070","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 Low-complexity Steered Minimum Variance Beamforming Algorithm and Its Application on Weak-target Detection 一种低复杂度制导最小方差波束形成算法及其在弱目标检测中的应用
Zhu Daizhu, Guo Haoquan
{"title":"A Low-complexity Steered Minimum Variance Beamforming Algorithm and Its Application on Weak-target Detection","authors":"Zhu Daizhu, Guo Haoquan","doi":"10.1109/ICICSP50920.2020.9232126","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232126","url":null,"abstract":"Although the character of high azimuth resolution and without side lobe, steered minimum variance(STMV) beamforming algorithm is limited to engineering application because of its computational cost. A low complexity steered minimum variance(LCSTMV) beamforming algorithm is proposed in this paper. The block matrix iterative inversion formula is deduced, the computation complexity of the traditional STMV algorithm with M array elements is reduced to nearly 1/4M. The simulation data analysis shows that its performance is in good agreement with that of the traditional STMV algorithm. And the processing with the sea trial data shows that the LCSTMV algorithm inherits all of the ability of STMV while computational amount reduced sharply.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115960005","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
ICICSP 2020 Copyright Page ICICSP 2020版权页面
{"title":"ICICSP 2020 Copyright Page","authors":"","doi":"10.1109/icicsp50920.2020.9232106","DOIUrl":"https://doi.org/10.1109/icicsp50920.2020.9232106","url":null,"abstract":"","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122481260","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
Underwater Target Detection Based on Machine Learning 基于机器学习的水下目标检测
Wen Zhang, Yanqun Wu, Yonggang Lin, Lina Ma, Kaifeng Han, Yu Chen, Chen Liu
{"title":"Underwater Target Detection Based on Machine Learning","authors":"Wen Zhang, Yanqun Wu, Yonggang Lin, Lina Ma, Kaifeng Han, Yu Chen, Chen Liu","doi":"10.1109/ICICSP50920.2020.9232081","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232081","url":null,"abstract":"Underwater target detection is an important part of acoustic signal processing. It is mainly composed of bad channel detection, beamforming, classification, tracking and localization. In this paper, the possibility of realizing bad channel detection, classification, tracking and localization based on Machine Learning or Deep Learning was explored. And they were all implemented separately and successfully using Machine Learning or Deep Learning.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116613006","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: 5
Vector sound field calculation for range-dependent ocean environments 距离相关海洋环境的矢量声场计算
Mei Sun, Y. Qi, Shuyuan Du, S. Zhou
{"title":"Vector sound field calculation for range-dependent ocean environments","authors":"Mei Sun, Y. Qi, Shuyuan Du, S. Zhou","doi":"10.1109/ICICSP50920.2020.9232076","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232076","url":null,"abstract":"In underwater acoustic applications, the receiver array is usually fixed at a certain location, and sources emit signals at different distances. In order to acquire fast prediction of the sound field in theoretical study, the source and the receiver are interchanged according to the reciprocity of the sound field in the ocean. However, the vertical particle velocity cannot be exactly acquired by interchanging the source and the receiver directly in calculation. In this paper, the influences of the interchange of the source and the receiver on the calculation of the vector sound field are studied. And a method of calculating vector sound field based on the interchange of the source and the receiver is proposed. The simulation and experimental results show that the proposed method can exactly predict the vector sound field. The proposed method can reduce the computational cost in the prediction of the vector sound field in a range-dependent ocean environment.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127575779","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
Defect Straw Inspection Method Based on Machine Vision
Ying Zhu, Hui Zhang, Zhisheng Zhang, Zhijie Xia
{"title":"Defect Straw Inspection Method Based on Machine Vision","authors":"Ying Zhu, Hui Zhang, Zhisheng Zhang, Zhijie Xia","doi":"10.1109/ICICSP50920.2020.9232102","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232102","url":null,"abstract":"The visual inspection of defect straw can overcome the shortcomings of manual inspection, such as low accuracy, low efficiency, and poor real-time performance. It plays an important role in improving the production capacity and automation level of the enterprise. This paper takes telescopic straws as the research object, divides the defect types into global defects and local defects by analyzing the characteristics of each defect, and elaborate on the detection process and detection algorithm involved for each defect. A detection method from global to local is proposed by using image processing technology. In addition, this paper also proposes a new corner detection method, which has strong robustness to target corner detection in noisy images after experimental comparison. Finally, after experimental verification, the defect detection rate of the detection method proposed in this paper reached 98.8%.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129840393","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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