{"title":"Direct Localization Algorithm of Moving Target for Passive Radar","authors":"Yuning Guo, Jun Yang, Qiu Tang, Wanchun Li","doi":"10.1109/ICCWAMTIP.2018.8632564","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632564","url":null,"abstract":"This paper proposes a new algorithm, which is an extension of Direct Position Determination (DPD), for passive radar system to estimate both position and velocity in a multipath scenario. The proposed method is based on the maximum likelihood theory and the cost function is derived in this paper. The simulation shows that the proposed algorithm is effective since it can attain to Cramer-Rao Lower Bound (CRLB)at a moderate signal-to-noise ratio (SNR).","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124075110","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}
Muhammad Hammad Memon, Jianping Li, A. Haq, M. H. Memon, I. Memon
{"title":"Smart Learning System Architecture and Its Services for Effective Learning","authors":"Muhammad Hammad Memon, Jianping Li, A. Haq, M. H. Memon, I. Memon","doi":"10.1109/ICCWAMTIP.2018.8632586","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632586","url":null,"abstract":"Sensing technologies based smart learning system significantly affects the learning and teaching process. Sensing technologies increased the interaction between learners and teachers comparing to conventional learning system. The smart learning system provides an appropriate information to individual students in the right way. The proposed smart learning system will also facilitates deaf, blind and aged learners which will definitely reduce the extra expenditures for constructing separates schools and colleges. Ultimately learners' ratio will be increased if smart learning strategy is deployed for learning process. Furthermore the proposed system can be easily deployed in learning environment.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124607308","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}
M. H. Memon, Zakir Khan, Muhammad Hammad Memon, Shuo Chen, F. Lin
{"title":"Film Bulk Acoustic Wave Resonator in Rf Filters","authors":"M. H. Memon, Zakir Khan, Muhammad Hammad Memon, Shuo Chen, F. Lin","doi":"10.1109/ICCWAMTIP.2018.8632611","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632611","url":null,"abstract":"Film Bulk Acoustic Resonator (FBAR)is widely used as a RF filter in advanced wireless communication system because of its high-Quality Factor (Q)and low inband losses. FBAR is also widely used as a sensor for biomedical and physical sensing. This paper describes the basic concepts of FBAR, device architecture, and the topology used to design the filter. Furthermore, we have proposed the design of 3D-FBAR based on cavity device architecture which can be used to design a RF-filter. In this design, aluminum (A1)is used as a top as well as for the bottom electrode the top electrode is hexahedron in shape, aluminum nitride (AIN)as a piezoelectric and silicon (Si)is used as a substrate. The designed model is to analyses maximum pressure of FBAR in its operating region, the resonant frequency fr which is 2.76 GHz and anti-resonant frequency fa which is 2.78 GHz and Q-factor is 730.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116408404","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":"The Evolution of People'S Interest in Video Games","authors":"Jiajun Xian, Dan Yang","doi":"10.1109/ICCWAMTIP.2018.8632566","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632566","url":null,"abstract":"Understanding human behavior is becoming a key issue in many areas of research. Based on the data set of product reviews from Amazon., this paper gives an intuitive understanding of human interest evolution through the study of people's rating behavior on video games. Results disclose the increasing inequality in active users' interests distribution., and reveal the time-invariant power law distribution of active users'interest span. All these findings have significant application value in both science and commerce.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122205197","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":"Application of Convolutional Neural Network (Cnn)in Microblog Text Classification","authors":"Xiaoming Wang, Jianping Li, Yifei Liu","doi":"10.1109/ICCWAMTIP.2018.8632583","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2018.8632583","url":null,"abstract":"At present, Weibo has become the main platform of lyric fermentation in China. On this platform, Chinese people can discuss many major events, so it is very necessary to monitor the grievances on Weibo in time. This paper aims to classify and monitor Weibo public opinion through Convolutional Neural Network (CNN). Firstly, the data is cleaned up and a vocabulary is built. Then the model of the convolutional neural network is built, including the embedding layer, the convolution layer, the pooling layer and the fully connected layer. Finally, the data is predicted and classified by the Softmax function. The experimental results show that the model can effectively classify and predict the Weibo public opinion, which is a certain improvement compared with the traditional machine learning algorithm.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130845650","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":"Application of Convolutional Neural Network in Natural Language Processing","authors":"Ping Li, Jianping Li, Gongcheng Wang","doi":"10.1109/ICISCAE.2018.8666928","DOIUrl":"https://doi.org/10.1109/ICISCAE.2018.8666928","url":null,"abstract":"In recent years, convolutional neural network (CNN)has made a series of breakthrough research results in the fields of computer vision and so on. CNN has been widely applied to the field of nature language processing too. In this paper, we review the basic structure, convolutional layer and pooling layer of convolutional neural networks in detail, and summarize the research progress of convolutional neural networks in the field of natural language processing applications. Finally, the development problem of convolutional neural networks in NLP field is summarized.","PeriodicalId":117919,"journal":{"name":"2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130689114","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}