• Journal of Information Technology Applications and Management
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• 제17권2호
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• pp.133-154
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• 2010

Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephonysolutions, identifyingthe Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop those prediction models toward Internet Telephony adoption. The models are compared with each other and a superior model is chosen.

• 한국통신학회논문지
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• 제37B권10호
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• pp.901-911
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• 2012

한국의 인터넷은 매우 빠르게 진화해 등록된 AS 수는 755개에 이르지만 국내에서 AS 수준의 인터넷 위상을 분석한 연구는 거의 전무하다. 본 연구에서는 한국 인터넷 AS 위상 구축과 power-law 특성 분석을 시도 하였다. 보다 정확하고 최신의 AS 수준 위상 구축을 위해 사용 가능한 데이터들을 모두 조사 하였다. 이들에 대한 비판적인 분석 과정을 통해 한국의 실정에 적합하고 또한 획득 가능한 데이터 소스 들을 유도 하였다. UCLA의 "Internet Topology Collection"을 이용한 BGP 데이터 그리고 IRR 과 IXP 데이터로부터 실제 국내 인터넷에 최대한 근접한 위상 데이터를 추출하고 검증 절차를 거쳐 한국 인터넷의 AS 수준 위상을 구축 하였다. 전 세계 AS 수준 위상의 차수 분포가 power-law 분포를 따르는 것으로 알려져 있다. 본 연구에서는 전 세계 AS 수준 위상의 일부분인 한국 AS 수준 위상의 차수 분포가 power-law 분포를 따르는지 조사하였다.

• Journal of the Korean Data and Information Science Society
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• 제15권1호
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• pp.11-20
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• 2004

The purpose of this paper was to reveal Service Operation Strategy for the Internet shopping mall based on the types of internet users' market segmentation focus on the internet shopping behavior and e-service quality. In this paper, we examined internet shopping behavior and internet service quality factor depend on the types of internet users' group empirically. The empirical study result identifies the main decision factor depend on the types of internet users' group. On the basis of these result, Service Operation Strategy for the internet shopping mall has been suggested.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.96-96
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• 2000

Today, Internet is an everyone's tool for information searching and communication. Furthermore, with the wireless Internet, we can get connected while moving. The Internet, especially wireless Internet could be an excellent data Link for DGPS because of its interactive two-way communication capability and well-constructed network infra. The user with his own mobile communication device doesn't necessarily get equipped with the other specific data link for DGPS This paper will show that how the Internet based DGPS system could be constructed on the computer network in real time, Its performance is demonstrated by the field experiments. Comparing to the DGPS system with the conventional data Links, Like beacon and FM DARC, the Internet based DGPS could provide us a convenient and cost effect DGPS system.

• 한국가정과학회지
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• 제6권1호
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• pp.1-13
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• 2003

This study attempts to investigate attitude toward internet shopping. internet purchase behavior. and purchase satisfaction of college student consumers. The data used for this study were collected from 361 college students who is living the southern part of Korea. and purchased goods and services on the internet at least one time during the previous 12 months. in Autumn, 2001. Data analysis were carried out using SAS package. Statistics used for data analysis were Cronbach'$\alpha$, Pearson's correlation analysis, and multiple regression. The results were summarized as follows : First, college student consumers in general are favorable to the internet shopping. The variable that has significant influence on the attitude toward the internet shopping was the web searching competence. Second, the variables that have significant influence on the internet purchases were the number of site visits, internet using time, credit card possession. personal income, and web searching competence. Third, the variables that have significant influence on the amount of internet purchases were personal income, internet using time, number of site visits. and credit card possession. Fourth, the variables that have significant influence on the satisfaction with internet shopping were internet shopping attitude and web searching competence.

• 전자공학회논문지CI
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• 제45권3호
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• pp.1-6
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• 2008

데이터 그리드는 지리적으로 분산된 대용량의 데이터 자원을 광대역 통신망을 통해 공유한다. 이러한 그리드 환경은 물리적 네트워크인 인터넷 상에서 구현되기 때문에 대용량의 데이터를 전송하는데 많은 시간이 소요된다. 이러한 문제를 극복하기 위해서 여러 가지 복제 정책들이 제안되었는데, 기존의 데이터 그리드 복제 정책은 실제 인터넷의 구조를 고려하지 않고 논리적인 토폴로지를 바탕으로 제안되었기 때문에 실제 구축된 데이터 그리드에서 최적의 성능을 기대할 수 없다. 그리드에서 데이터 접근시간은 물리적 네트워크인 인터넷의 구조에 의해 가장 큰 영향을 받기 때문이다. 본 논문에서는 인터넷 구조 기반의 새로운 데이터 그리드 복제 정책으로 RSIA(Replication Strategy based on Internet Architecture) 복제 정책을 제안한다. 이 정책은 인터넷의 각 요소들 사이에 존재하는 구조적인 계층성을 고려하여 데이터 복사본을 배치하고, 데이터 전송 시 대역폭의 병목 구간을 피함으로써 시스템의 성능 저하를 줄인다. 본 논문에서는 시뮬레이션을 통하여 제안하는 RSIA가 기존의 복제 정책에 비해 데이터 그리드의 성능 향상 면에서 우수함을 보인다.

• ETRI Journal
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• 제44권1호
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• pp.135-146
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• 2022

The importance of big data analytics has become apparent with the increasing volume of data on the Internet. The amount of data will increase even more with the widespread use of Internet of Things (IoT). One of the most important application areas of the IoT is healthcare. This study introduces new real-time data analytics architecture for an IoT-based smart healthcare system, which consists of a wireless sensor network and a radio-frequency identification technology in a vertical domain. The proposed platform also includes high-performance data analytics tools, such as Kafka, Spark, MongoDB, and NodeJS, in a horizontal domain. To investigate the performance of the system developed, a diagnosis of Wolff-Parkinson-White syndrome by logistic regression is discussed. The results show that the proposed IoT data analytics system can successfully process health data in real-time with an accuracy rate of 95% and it can handle large volumes of data. The developed system also communicates with a riverbed modeler using Transmission Control Protocol (TCP) to model any IoT-enabling technology. Therefore, the proposed architecture can be used as a time-saving experimental environment for any IoT-based system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권2호
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• pp.540-546
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• 2014

Recently a new government has announced an action plan known as the government 3.0, which aims to provide customized services for individual people, generate more jobs and support creative economy. Leading on from previous similar initiatives, the new scheme seeks to focus on open, share, communicate, and collaborate. In promoting Government 3.0, the crucial factor might be how to align the core services and policies of Government 3.0 with correspoding technologies. The paper describes the concepts and features of Government 3.0, identifies emerging Internet-based technologies and services toward the initiative, and finally provides improvement plans for Government 3.0. As a result, 10 issues to be brought together include: Smart Phone Applications and Service, Mobile Internet Computing and Application, Wireless and Sensor Network, Security & Privacy in Internet, Energy-efficient Computing & Smart Grid, Multimedia & Image Processing, Data Mining and Big Data, Software Engineering, Internet Business related Policy, and Management of Internet Application.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 2010년도 춘계국제학술대회
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• pp.187-199
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• 2010

Recently, Internet Telephony has become increasingly popular in telecommunication industry. However, previous research on Internet Telephony has focused on analyzing specific Internet Telephony solutions, identifying the Internet Telephony movement itself. The research on prediction models about Internet Telephony adoption has been minimal. The main propose of this study is to develop models for predicting transition intention from using traditional telephones to using Internet Telephony. To do so, this study uses data mining methods to analyze demands in the IT communications market and to provide management strategies for Internet telephony providers. Especially this study uses discriminant analysis, logistic regression, classification tree, and neural nets to develop the prediction models for the Internet Telephony adoption. The models are compared with each other and a superior model is chosen.

• Journal of the Korean Data and Information Science Society
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• 제16권4호
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• pp.989-998
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• 2005

The internet survey is more time and cost efficient than the off-line survey. We design and implement a web-based questionnaire generating system for the internet survey. The system guides users to make up a questionnaire step by step. It also generates data code for the statistical packages such as SPSS and SAS when the internet survey has been done.