• Journal of Information Technology Applications and Management
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• v.17 no.2
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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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.10
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• pp.901-911
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• 2012

Over the last decade, the Internet in Korea has developed rapidly. The number of ASes in Korea is 755. However, there has been no significant effort to obtain an accurate picture of the Internet AS-level topology. To construct more complete set of Korea AS-level topology data all the available data sources are critically reviewed and compared. Three data sources, which can be used to infer Korea Internet AS-level topology, are selected; BGP data of UCLA "Internet Topology Collection", IRR data and IXP data. It is known that global Internet AS-level topology follows power-law distribution. In this paper, we also investigate if the Korea Internet AS-level topology follows power-law distribution.

• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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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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• 2000.10a
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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.

• Korean Journal of Human Ecology
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• v.6 no.1
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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.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.3
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• pp.1-6
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• 2008

Data grid shares distributed large data via wide-band network. Such grid environment consumes much time for large data transmission. Because it is implemented on internet as physical network. Many replication strategies were proposed for solving this problem, but they are not optimal in real Data grid environments. Because they were proposed that based on logical topology without consideration of real internet architecture. Grid data access time is largely influenced by internet architecture as physical network of Data grid. In this paper, we propose a new data replication strategy RSIA(Replication Strategy based on Internet Architecture) based on internet architecture. The RSIA places replicas considering structural hierarchy in each element of internet, and avoid the performance bottlenecks to reduce system performance degradation when a data transfer. Through simulation, we show that the proposed RSIA data replication strategy improves the performance of Data Grid environment compared with previous strategies.

• ETRI Journal
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• v.44 no.1
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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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• v.8 no.2
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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.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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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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• v.16 no.4
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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.