2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)最新文献

PoN: Open source solution for real-time data analysis PoN:实时数据分析的开源解决方案

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529409

Nikitha Johnsirani Venkatesan, Earl Kim, D. Shin

{"title":"PoN: Open source solution for real-time data analysis","authors":"Nikitha Johnsirani Venkatesan, Earl Kim, D. Shin","doi":"10.1109/DIPDMWC.2016.7529409","DOIUrl":"https://doi.org/10.1109/DIPDMWC.2016.7529409","url":null,"abstract":"With rapid innovations and growing Internet population, petabytes of information are being generated every second. Processing these enormous data and analysing is a tedious process now-a-days. The amount of data in real-time is growing tremendously. Nearly 80% of the data is in unstructured format. Analysis of unstructured data in real-time is a very challenging task. Existing traditional business intelligence (BI) tools perform best only in a pre-defined schema. Most of the real-time data are logs and dont have any defined schema. Doing queries over these large datasets takes long time. During streaming of real-time data, much unwanted information is extracted from the data source causing overhead in the system. This results in an increase in the cost of construction and maintenance. Each and every second, new data streams keeps accumulating in the system consistently about whats going on in the world. Gathering these data and processing is an essential skill to know, for preparing a vital report. In this paper, we propose a Piece of News (PoN) end-to-end solution where we used the appropriate Hadoop components for real-time data analytics. Our aim is to extract the health data from the normal news data so that we can predict any real-time breakouts immediately. Rather than collecting all the news, we filtered only the important news based on certain threshold, thus reducing the cost. We compared historical data with real-time data which leads to take prompt action as we already knew the outbreaks from the previous data. One step ahead we can even detect any dangerous outbreaks before anyone else in the world. Not only we did real-time analytics using Hadoop componants but also we ran queries over the collected news dataset using Hive and Pig. Finally, we presented their performance comparison.","PeriodicalId":298218,"journal":{"name":"2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125243973","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

Automatic detection of books based on Faster R-CNN 基于Faster R-CNN的图书自动检测

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529355

Beibei Zhu, Xiaoyu Wu, Lei Yang, Yinghua Shen, Linglin Wu

引用次数: 15

A syllabus on data mining and machine learning with applications to cybersecurity 关于数据挖掘和机器学习在网络安全中的应用的教学大纲

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529388

A. Epishkina, S. Zapechnikov

{"title":"A syllabus on data mining and machine learning with applications to cybersecurity","authors":"A. Epishkina, S. Zapechnikov","doi":"10.1109/DIPDMWC.2016.7529388","DOIUrl":"https://doi.org/10.1109/DIPDMWC.2016.7529388","url":null,"abstract":"Big data analytics are very fruitful for solving problems in cybersecurity. We have analyzed modern trends in intelligent security systems research and practice and worked out a syllabus for a new university course in the area of data mining and machine learning with applications to cybersecurity. The course is for undergraduate and graduate students studying the cybersecurity. The main objective of the course is to provide students with fundamental concepts in data mining (in particular, mining frequent patterns, associations and correlations, classification, cluster analysis, outlier detection), machine learning (including neural networks, support vector machines etc.) and related issues, e.g. the basics of multidimensional statistics. Contrary to the traditional data mining and machine learning courses we illustrate course topics by cases from the area of cybersecurity including botnet detection, intrusion detection, deep packet inspection, fraud monitoring, malware detection, phishing detection, active authentication. We note that our course has great potential for development.","PeriodicalId":298218,"journal":{"name":"2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130492166","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: 6

Research and development of ADS1271 based distributed engineering seismic acquisition unit

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529407

Zhenzhong Yuan, Yongqing Wang, Shenghui Liu, Yu Wang, Xin-yue Zhang, M. Zhao, Qisheng Zhang

{"title":"Research and development of ADS1271 based distributed engineering seismic acquisition unit","authors":"Zhenzhong Yuan, Yongqing Wang, Shenghui Liu, Yu Wang, Xin-yue Zhang, M. Zhao, Qisheng Zhang","doi":"10.1109/DIPDMWC.2016.7529407","DOIUrl":"https://doi.org/10.1109/DIPDMWC.2016.7529407","url":null,"abstract":"In order to give more support to the research and development of large geophysical prospecting equipment like seismic prospecting instrument, this paper describes a design based on ADS1271 chip. The design applies to the large-scale cable digital telemetry seismograph and the development of distributed seismic acquisition unit of high precision but low power consumption, which uses high precision A/D conversion and FPGA embedded technology as well as micro-power consumption power source technology. The acquisition unit composes of data acquisition circuit board and FPGA master control circuit board. The acquisition board circuit consists of front end conditioning circuit, amplifying circuit, single-ended signal to differential signal conversion circuit, A/D switching circuit and power switching circuit; in the meanwhile a Cyclone IV E based FPGA master control board has been designed. For software, drive programs are designed for the acquisition board (including driver AD8253 and ADS1271) to achieve the function of data acquisition and the transfer of the acquisition unit.","PeriodicalId":298218,"journal":{"name":"2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121399736","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

Impact of trust and perceived content of advertisement on intention to accept mobile advertisement 信任和感知广告内容对接受移动广告意愿的影响

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529381

S. Jafari, H. Taghavi, Mozhgan Yeganeh Daryakenari, Shirin Shahbazi

引用次数: 1

MSSA of globally gridded OAM from ECCO, AAM from ECMWF, and gravity from GRACE ECCO全球网格OAM、ECMWF全球网格AAM和GRACE全球网格重力的msa

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529376

L. Zotov, Elena Scheplova

引用次数: 3

Approximation SR1-based algorithms for nonlinear image processing 基于近似sr1的非线性图像处理算法

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529412

F. M. Khiyabani

引用次数: 0

A robust eye gaze estimation using geometric eye features 基于几何眼睛特征的鲁棒眼睛注视估计

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529379

K. Jariwala, U. Dalal, Amal Vincent

{"title":"A robust eye gaze estimation using geometric eye features","authors":"K. Jariwala, U. Dalal, Amal Vincent","doi":"10.1109/DIPDMWC.2016.7529379","DOIUrl":"https://doi.org/10.1109/DIPDMWC.2016.7529379","url":null,"abstract":"Gaze estimation is the process of determining the point of gaze in the space, or the visual axis of an eye. It plays an important role in representing human attention; therefore, it can be most appropriately used in Human Computer Interaction as a means of an advance computer input. Here, the focus is to develop a gaze estimation method for Human Computer Interaction using an ordinary webcam mounted on the top of the computer screen without any additional or specialized hardware. The eye center coordinates are obtained with the geometrical eye model and edge gradients. To improve the reliability, the estimates from two eye centers are combined to reduce the noise and improve the accuracy. Facial land marking is done to identify a precise reference point on the face between the nose. The ellipse fitting and RANSAC method is used to estimate the gaze coordinates and to reject the outliers. This approach can estimate the gaze coordinates with high degree of accuracy even when significant numbers of outliers are present in the data set. Several refinements such as feedback and masking, queuing and averaging are proposed to make the system more stable and useful practically. The results show that the proposed method can be successfully applied to commercial gaze tracking systems using ordinary webcams.","PeriodicalId":298218,"journal":{"name":"2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127872823","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

Application of Data Mining for high accuracy prediction of breast tissue biopsy results 数据挖掘在乳腺组织活检结果高精度预测中的应用

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529361

Divyansh Kaushik, Karamjit Kaur

引用次数: 20

A study of QoS feedback schemes on WiFi multicast for media streaming services 流媒体服务WiFi组播的QoS反馈方案研究

2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC) Pub Date : 2016-07-06 DOI: 10.1109/DIPDMWC.2016.7529403

Yaw-Chung Chen, Chun-Yu Liao

引用次数: 1