DatabasePub Date : 2014-12-19DOI: 10.14257/ASTL.2014.65.11
Han Sung-soo, Jo Sung-jae
{"title":"Research on the improvement measures of BISLD method in mobile computing","authors":"Han Sung-soo, Jo Sung-jae","doi":"10.14257/ASTL.2014.65.11","DOIUrl":"https://doi.org/10.14257/ASTL.2014.65.11","url":null,"abstract":"There has been active research on recovery methods through real- time transaction in the mobile computing environment. However, the research on the improvement of the recovery method's function is relatively inadequate. Consequently, this research seeks to propose measures to improve the functions of the BISLD method out of the mobile recovery methods for uniformity of the data base in the mobile computing environment. Keywords: We would like to encourage you to list your keywords in this section.","PeriodicalId":81074,"journal":{"name":"Database","volume":"1 1","pages":"45-48"},"PeriodicalIF":0.0,"publicationDate":"2014-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66977918","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}
DatabasePub Date : 2014-08-24DOI: 10.14257/ASTL.2014.54.26
Ok-Hue Cho, Moi-Han Shim, Won-Hyung Lee
{"title":"A Study about Emotional Digital Art using Hypersonic Effect","authors":"Ok-Hue Cho, Moi-Han Shim, Won-Hyung Lee","doi":"10.14257/ASTL.2014.54.26","DOIUrl":"https://doi.org/10.14257/ASTL.2014.54.26","url":null,"abstract":"In this paper, we developed emotional digital interactive art using hypersonic effect. We can't feel ultrasound because it is in non-audible range. Ultrasound means a frequency of 22 kHz or more, it is called (High Frequency components) HFCs. In sound of nature, the sound of the waves is used in meditation music. Sound of waves gives stability to people. Because, the sound of the waves includes ultrasound and ultrasound induce alpha waves. Based on the sound of waves, we developed ultrasound similar to the sound of waves in artificially. The audience appreciates sound and image. First is silent, second is the sound of waves and last is the sound of waves + developed ultrasound. The audience appreciates our digital are work with sound and image. Spectators can experience hypersonic effect in last step. Hypersonic effect means increase of alpha wave and decrease of beta waves. Mental states of spectators are changed according to sound, and the results are visualized.","PeriodicalId":81074,"journal":{"name":"Database","volume":"1 1","pages":"109-113"},"PeriodicalIF":0.0,"publicationDate":"2014-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66977581","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}
DatabasePub Date : 2014-08-24DOI: 10.14257/ASTL.2014.54.25
A. Cuzzocrea
{"title":"OLAPing and Mining Big Data: Large-Scale, Long-Running, Serendipitous Computations within Next-Generation Clouds","authors":"A. Cuzzocrea","doi":"10.14257/ASTL.2014.54.25","DOIUrl":"https://doi.org/10.14257/ASTL.2014.54.25","url":null,"abstract":"OLAPing and Mining Big Data is among one of the most attracting research contexts of recent years. Essentially, this puts emphasis on how classical OLAPing and Mining algorithms can be extended in order to deal with novel features of Big Data, such as volume, variety and velocity. This novel challenge opens the door to a widespread number of challenging research problems that will generate both academic and industrial spin-offs in future years. Following this main trend, in this paper we provide a brief discussion on most relevant open problems and future directions on the fundamental issue of OLAPing and Mining Big Data.","PeriodicalId":81074,"journal":{"name":"Database","volume":"1 1","pages":"100-108"},"PeriodicalIF":0.0,"publicationDate":"2014-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66977570","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}
DatabasePub Date : 2013-12-11DOI: 10.14257/ASTL.2013.44.01
Jin-tae Park, Heejin Kang, Jun-Soo Yun, Il-Young Moon
{"title":"Analysis of Students’ Movement Patterns through Big Data","authors":"Jin-tae Park, Heejin Kang, Jun-Soo Yun, Il-Young Moon","doi":"10.14257/ASTL.2013.44.01","DOIUrl":"https://doi.org/10.14257/ASTL.2013.44.01","url":null,"abstract":"Currently, the usage rate of GPS is increasing. In addition to GPS, Big Data is also in the spotlight. The Big Data is a technique that creates values through repetition pattern analysis of data [1]. Using the Big Data, it is possible to analyze the movement path, time, and behavior pattern repetitive of the students. This study has been conducted using the information collected through GPS. Our future work will be on increasing the reliability of the data and gathering of information of the day of the week, weather, blood type, and occupation.","PeriodicalId":81074,"journal":{"name":"Database","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2013-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66976354","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}
DatabasePub Date : 2013-12-11DOI: 10.14257/ASTL.2013.44.02
Chulhyun Hwang, I. Son, H. Jung
{"title":"Study on Approach to Data Modeling for Sharing and Openness","authors":"Chulhyun Hwang, I. Son, H. Jung","doi":"10.14257/ASTL.2013.44.02","DOIUrl":"https://doi.org/10.14257/ASTL.2013.44.02","url":null,"abstract":"This study presents a BEE data modeling approach to enhance the level of data sharing and openness in an e-government environment. The data model established by the BEE approach is capable of increasing the rate of data co-utilization even in an information system with a different purpose and environment.","PeriodicalId":81074,"journal":{"name":"Database","volume":"1 1","pages":"5-8"},"PeriodicalIF":0.0,"publicationDate":"2013-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66976466","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}
DatabasePub Date : 2013-12-11DOI: 10.14257/ASTL.2013.44.03
Eunjee Song, Suk-Jung Hong, Min-Shik Kang
{"title":"A Study on the System for Data Collection and Analysis on Social Network","authors":"Eunjee Song, Suk-Jung Hong, Min-Shik Kang","doi":"10.14257/ASTL.2013.44.03","DOIUrl":"https://doi.org/10.14257/ASTL.2013.44.03","url":null,"abstract":"A proposal is presented in this research which can collect and analyze various types of documents and information on social networking sites and furnish the analysis results in conformity with the clients’ demand. The system proposed is consisted of the data collecting part that collects the information on social networking sites, the database management system(DBMS) that saves and maintains the data, upon receiving them from data collecting part, the data analysis part that processes and analyzes the information from DBMS for semantic understanding and the platform for social analysis that manages and forecasts the issues continuously, combining and evaluating the users’ opinions and the information analyzed. The data collecting part gathers both formal documents and informal documents and has command of the technique converting atypical document into typical document.","PeriodicalId":81074,"journal":{"name":"Database","volume":"1 1","pages":"9-13"},"PeriodicalIF":0.0,"publicationDate":"2013-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66976117","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}
DatabasePub Date : 1994-10-01DOI: 10.7907/Z900003J
Gail Clement
{"title":"Evolution of a species: science journals published on the Internet","authors":"Gail Clement","doi":"10.7907/Z900003J","DOIUrl":"https://doi.org/10.7907/Z900003J","url":null,"abstract":"An excellent overview of the current state of electronic science journals, including where they have come from and where they may be headed. Although focused entirely on science journals, many of the observations are also appropriate for journals in other disciplines. Clement includes a number of pointers to key electronic journal resources. Sidebars include a list of current or planned electronic science journals, and informative case studies of specific titles (Review by Roy Tennant, Current Cites 5(11), Nov 1994)","PeriodicalId":81074,"journal":{"name":"Database","volume":"51 1","pages":"44-54"},"PeriodicalIF":0.0,"publicationDate":"1994-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71363249","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}