• Korean journal of communication and information
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• v.58
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• pp.154-177
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• 2012

Considering the growing importance of TV favorite channel setting function due to the rapid increase of number of TV channels, this study tried to find factors which affect the attitude toward and intention to use the favorite channel setting function. As related theories, this study used theory of diffusion of innovation, channel repertoire, channel changing behaviors, and social influences and suggested research hypotheses and questions based on the theories. After collecting data through online survey of 192 general audience, this study empirically analyzed the data by using multiple regression analysis. The result showed that innate innovativeness, relative advantage and social critical mass affected attitude toward using the favorite channel setting function and that compatibility, visibility, social critical mass influenced intention to use the function.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.149-157
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• 2009

This study aims to empirically examine the factors influencing mobile channel loyalty. This study has been reviewed various theoretical research relating to mobile channel loyalty and transaction cost theory. The model was tested Structural Equation Modeling(SEM) using AMOS 7.0 analysis on the sample collected from 240 respondents. The result of hypothesis testing is as follows. First, asset specificity, uncertainty and transaction frequency were influenced by chanel satisfaction. Second, asset specificity was influenced negatively by chanel preference. Third, chanel satisfaction was influenced positively by chanel preference. Finally, chanel satisfaction and chanel preference were influenced positively by chanel loyalty.

• Journal of KIISE:Databases
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• v.35 no.3
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• pp.272-285
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• 2008

In this paper, we concentrate on data allocation methods for multiple broadcast channels. When the server broadcasts data, the important issue is to let mobile clients access requested data rapidly. Previous works first sorted data by their access probabilities and allocate the sorted data to the multiple channels by partitioning them into multiple channels. However, they do not reflect the difference of access probabilities among data allocated in the same channel. This paper proposes ZGMD allocation method. ZGMD allocates data item on multiple channels so that the difference of access probability in the same channel is maximized. ZGMD allocates sorted data to each channels and applies Broadcast Disk in each channel. ZGMD requires a proper indexing scheme for the performance improvement. This is because in ZGMD method each channel got allocated both hot and cold data. As a result, the sequential search heuristic does not allow the mobile client to access hot data items quickly. The proposed index scheme is based on using dedicated index channels in order to search the data channel where the requested data is. We show that our method achieve the near-optimal performance in terms of the average access time and significantly outperforms the existing methods.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.207-215
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• 2011

Due to the increasing availability and popularity of digital television (DTV), the numbers of TV channels and programs that can be selected by consumers are also increasing rapidly. Therefore, searching for interesting channels and program via remote controls or channel guide maps can be frustrating and slow. In this paper, in order to better satisfy consumers, we propose a dynamic channel surfing scheme that reduces the channel seek distance in DTV. The proposed scheme dynamically rearranges the channel sequences according to the channel currently being watched to reduce the channel seek distance. The results of a simulation experiment demonstrate that the proposed dynamic channel surfing scheme reduces the channel seek distance for DTV channel navigation when up-down channel selection interfaces are used.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.12
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• pp.3775-3781
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• 2009

This aims of this study is to examine the factors influencing on the channel satisfaction and preference of the mobile commerce. This model tests various theoretical research relating to technology acceptance model(TAM), transaction cost theory and service quality. The model is tested Structural Equation Modeling(SEM) using AMOS 7.0 analysis on the sample collected from 320 respondents. The result of hypothesis testing is as follows. First, usefulness, asset specificity, uncertainty, trust and responsiveness were influenced by channel satisfaction. Second, channel satisfaction was influenced positively by channel preference.

• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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• pp.1137-1143
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• 2011

The purpose of this paper is to analyse the preference for direct marketing according to the characteristics of policyholders and suggest implications for marketing strategies with regard to direct marketing. A marked characteristic of this paper is a good quality of data and the results gained from analysing the data can be trusted very much. Binary logistic regression is employed. A statistically significant preference is shown in the group such as male, a younger generation, a hazardous occupation, the metropolitan area, and the customer of foreign company. The results suggest that promotion for female is needed to revitalize direct marketing. A tight underwriting for a hazardous occupation is also required.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.11 no.1
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• pp.1-7
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• 2000

In this paper, we proposed a complex multirate filter bank(CMRFB) based adaptive notch filtering technique to solve the co-existence narrowband interference problem of DS-CDMA and TDMA systems. We have discussed error performance of co-existence of DS-CDMA and TDMA system by using complex multirate filter bank in land mobile channel and computer simulation results show that the proposed scheme can eliminate the narrowband interference(TDMA signals) effectively.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.106-108
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• 2012

스마트TV는 스마트폰과 달리 가족이 사용하는 디바이스로 인식되고 있다. 그러나 스마트TV도 SNS(Social Networking Service), 웹 서비스 등 가족인 아닌 개인 단위로 사용하는 앱(application)뿐만 아니라 각 개인마다 선호하는 게임을 포함한 앱(application), VOD 리스트, TV 채널 등이 다르다고 볼 수 있다. 그리하여 스마트TV에서도 개인 맞춤형 사용자 인터페이스가 필요하다. 이에 따라 본 논문에서는 스마트TV 환경에서 기존 윈도우 로그인 시스템처럼 개인만의 맞춤형 사용자 인터페이스를 제시한다. 그리하여 각각의 사용자들은 개인만의 환경에서 앱(application)을 실행하거나 TV를 볼 수 있다. 기존 연구되고 있는 채널 네비게이션 기법을 토대로 VOD list, 게임을 포함한 앱(App)을 개인 맞춤형 인터페이스로 보다 편리하게 사용할 수 있는 방법도 제시한다. 채널 네비게이션은 로그인한 각 자신만의 환경에서 사용자가 과거에 시청한 TV 채널을 조사하여 많이 시청한 TV 채널을 보여 주게 한다. 그리하여 보다 자신이 선호하는 채널을 쉽게 시청할 수 있다. 이와 더불어 VOD 리스트와 게임을 포함한 앱(application)을 과거에 시청하거나 사용했던 패턴을 분석하고 선호하는 VOD 리스트와 앱(application)을 예측하여 보여주어 개인의 맞춤형 인터페이스에서 보다 빠르게 접근이 가능하며 편리하게 사용할 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.423-425
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• 2015

최근 대형 마트 및 백화점에서는 옴니채널 형식의 유통전략이 급부상하고 있으나, 소상공인 및 전통시장은 고비용의 옴니채널 형식을 도입하기가 어렵다. 이를 해결하고자 소자본으로 구축 가능한 니즈 분석을 활용한 모바일 플랫폼이 고안되었으나, 단순히 사용자의 행동 및 후기를 활용한 니즈분석은 개인만의 선호도 분석으로서 타인의 선호도를 알 수 없다는 문제점이 있다. 본 논문에서는 앞서 언급한 내 외부 소셜 네트워크 서비스를 활용하여 타인의 상품 선호도 또한 분석하고 결합하여 보다 효과적으로 상품 선호도 분석을 하였으며 사용자 지정 선호도 분석을 지원한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.34-37
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• 2006

디지털 방송에서의 맞춤형 서비스란 사용자가 원하는 방송 프로그램만을 사용자가 원하는 시간에 볼 수 있게 해 두는 서비스를 말한다. 본 연구는 맞춤형 방송 서비스를 위한 사용자 별 선호정보를 자동으로 추출하여 관리하는 사용자 선호정보 관리 시스템을 개발하였다. 이 시스템은 맞춤형 방송 서비스를 위한 표준인 TV-Anytime에서 제안하고 있는 메타데이터를 기반으로 사용자 선호정보와 사용자 히스토리 정보를 사용하여 맞춤형 방송 서비스를 위한 선호 프로그램과 채널을 예상하여 사용자에게 제시한다. 이 과정에서 사용하는 사용자 선호정보는 사용자 별로 청취 과정에서 채널, 시간대, 방송에 따른 반응 행동기록을 토대로 자동으로 추출하고 업데이트하는 방법을 제안한다.