{"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":"11 1","pages":"0"},"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}
{"title":"Construction of word level Tibetan Lip Reading Dataset","authors":"Zhenye Gan, Hao Zeng, Hongwu Yang, Shihua Zhou","doi":"10.1109/ICICSP50920.2020.9231973","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9231973","url":null,"abstract":"With the development of deep learning technology, dataset always play an important role in different research fields. Lip reading, which involves image processing and natural language processing, has become one of the most challenging research topics in the field of deep learning. However, the diversity of lip changes and the richness of language itself greatly improve the difficulty of lip reading, which leads to the slow progress of lip reading research. In order to provide a good basis for future Tibetan lip reading, this paper constructs the first Tibetan lip reading dataset, named TLRW-50, which is saved as a series of lip-shaped image sequences after data preprocessing. The complete process and algorithm details of the Tibetan lip reading dataset are proposed and the quality of the lip reading video is evaluated. Six methods of image data expansion are used to expand the lip image frame sequence: color enhancement, Gaussian noise, horizontal image, amplification, rotation and clipping. Ten Tibetan speakers were selected to evaluate the quality of the cut lip reading video before the expansion of the lip image sequence. The MOS score was 3.8.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130003244","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":"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":"19 1","pages":"0"},"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}
{"title":"Anti Spatial Aliasing HOA Encoding Method based on Aliasing Projection Matrix","authors":"Jing Lin, Xihong Wu, T. Qu","doi":"10.1109/ICICSP50920.2020.9232079","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232079","url":null,"abstract":"Higher order Ambisonics (HOA) is a 3D sound decomposition and reproduction technology that represent 3D sound fields based on a series of spherical harmonic functions. However, practical application of HOA technology is limited by narrow available bandwidth, low-frequency noise pollution and high-frequency spatial aliasing. Inspired by the sparse recovery method, anti-spatial aliasing HOA encoding method which combines aliasing projection matrix and sparse recovery is presented to obtain better high frequency performance. In this work, we explain the causes of spatial aliasing and propose anti-spatial aliasing HOA encoding method. Then a series of simulations were carried out to verify the effectiveness the proposed method.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133505992","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 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":"23 1","pages":"0"},"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}
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":"64 1","pages":"0"},"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}
{"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":"33 1","pages":"0"},"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}
{"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":"265 1","pages":"0"},"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}
{"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":"19 1","pages":"0"},"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}
{"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":"98 1","pages":"0"},"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}