• Journal of Internet Computing and Services
• /
• v.13 no.3
• /
• pp.127-137
• /
• 2012

With the spread of the new technologies like a smart phone, a smart pad, N-Screen service for financial transaction quickly became commonplace through the Internet. Although it has been developed related technologies and policies since the N-Screen has been provided in Korea, infrastructure for financial services is still lacking. It also has many potential problems including phishing or malware attacks, privacy information exposure & breaches, etc. This work suggests the financial security framework in the side of information protection through threat vulnerability analysis. Further, we examine the possibility of effective application methods based on political technical design.

• Journal of Internet Computing and Services
• /
• v.12 no.6
• /
• pp.129-137
• /
• 2011

In this paper, a fast and reliable emergency broadcasting system for Advanced Television System Committee (ATSC) Mobile DTV is proposed. The proposed protocol is based on the Emergency Alert Message (EAM) standard currently used for cable TV emergency broadcasting in the United States. The protocol is implemented and evaluated to enable fast emergency information propagation. ATSC Mobile DTV enables digital mobile broadcasting without affecting the existing ATSC legacy digital TV system. Since ATSC Mobile DTV devices are mobile and self-powered, they can effectively propagate emergency information. The proposed emergency broadcasting protocol can be applied in all countries adopting the ATSC standard.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.10a
• /
• pp.85-87
• /
• 2004

유무선 인터넷 기술의 발전은 인터넷을 통한 개인 정보의 효율적인 공유 및 교환을 가능하게 하였다. 최근 이러한 분산 정보의 공유를 위한 네트워킹 기술로 P2P(Peer-to-Peer)가 많은 주목을 받고 있다. 현재 국내외의 많은 대학 및 기관에서 P2P에 관한 연구가 활발히 진행 중 이다. 하지만, 대부분의 P2P 시스템들은 파일공유 위주의 서비스를 제공하며 SETI@HOME을 필두로 한 일부 @HOME 프로젝트들만이 자원 공유 서비스를 제공하고 있다. 그러나 기존의 자원공유 P2P 서비스들은 특정한 목적을 위해 구성됨으로써 자원을 제공하는 일반 사용자는 단순히 자원을 제공할 뿐 그 이상의 역할을 수행할 수가 없다. 이에 본 논문에서는 P2P 시스템에 참여한 모든 사용자가 P2P의 자원 네트워크를 사용할 수 있도록 멀티 에이전트 기반의 자원 공유 P2P 시스템을 제안한다. 일반 사용자는 서비스 생성 프레임워크를 사용하여 자신에게 필요한 테스크 에이전트를 생성할 수 있으며, 스케줄러 및 분배 에이전트, 테스크 에이전트에 의해 수행되어진다. 또한 본 시스템은 group 및 peer의 관리를 위해 특성 학습 에이전트(Specific Learning Agent)의 학습기능을 사용함으로써 P2P가 가지는 불안전한 환경 및 신뢰성 문제를 해결하였다.

• Annual Conference of KIPS
• /
• 2010.11a
• /
• pp.1042-1045
• /
• 2010

본 연구는 TAM 모형을 기반으로 유용성과 경제성 변수에 기업의 고객 충성도를 조절변수로 하여 유무선 결합서비스(FCM)에 대한 소비자의 수용의사에 대해 연구하였다. 그 결과, 소비자들은 FCM 의 유용성과 경제성에 유의한 영향을 미치고 있으며, 기업에 대한 고객 충성도는 조절효과를 가지고 있었다. 소비자들은 현재 유선기반의 단순묶음(bundling)형태의 서비스를 주로 이용하고 있으며, 경제성(요금의 적합성)에 대한 만족도는 높지 않았다. 또한, 소비자들은 현재의 서비스와는 상관없이, 향후 FMC 활성화에 따라 통신사의 변경을 고려하고 있어 기업에 대한 신뢰보다는 제공 서비스의 품질과 효과를 우선시 하고 있음을 나타냈다. 향후 결합서비스의 중심서비스로는 이동전화를 선호하고 있었으며, 결합서비스 형태로는 인터넷과 인터넷 TV 를 결합한 서비스를 추구하고 있었다. 본 연구는 향후 통신사업자들의 바람직한 FCM 의 구성과 요금정책 전략 수립에 있어 다소나마 도움을 줄 수 있을 것으로 판단된다. 각 사업자는 유무선 결합서비스가 성공적인 비즈니스모델로 정착하기 위해 소비자들의 효용을 정확히 알고 소비자들에게 맞는 우수한 콘텐츠와 기능적 품질의 제공이 무엇보다 중요하게 될 것이다.

• Journal of Internet Computing and Services
• /
• v.24 no.4
• /
• pp.77-84
• /
• 2023

Given the growing volume of biomedical papers, the ability to efficiently extract keywords has become crucial for accessing and responding to important information in the literature. In this study, we conduct a comprehensive evaluation of different unsupervised learning-based models and BERT-based models for keyword extraction in the biomedical field. Our experimental findings reveal that the BioBERT model, trained on biomedical-specific data, achieves the highest performance. This study offers precise and dependable insights to guide forthcoming research in biomedical keyword extraction. By establishing a well-suited experimental framework and conducting thorough comparisons and analyses of diverse models, we have furnished essential information. Furthermore, we anticipate extending our contributions to other domains by providing comparative experiments and practical guidelines for effective keyword extraction.

• Journal of Internet Computing and Services
• /
• v.25 no.2
• /
• pp.69-77
• /
• 2024

The tourism industry is well on its way to returning to pre-pandemic levels all over the world. This article aims to investigate the factors that affect tourists' traveling intentions towards Korea. TAM model is used when doing the data analysis and we added some key external variables: trust, information quality, and personal innovativeness, to better fit the real-life scenarios. By using SPSS and AMOS, we analyze with the structural equation modeling method and find out that perceived risk is not significantly related to intention. We find out that perceived risk is not significantly related to purchasing intention, suggesting that consumers might prioritize convenience over perceived risk. And many other factors become potential mediating factors between these two.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.1
• /
• pp.185-192
• /
• 2016

The purpose of this study is to compare smartphone addiction tendencies among the subdivided groups of undergraduates according to their lifestyle characteristics integratively. The results of positive analysis are as follows: first, undergraduates' lifestyles were drawn as six factors: the 'economic oriented type', 'aggressive activist type', 'fashion pursuing type', 'self-confident type', 'materialistically oriented type', and 'free will pursuing type'. Second, according to the result of dividing the groups based on the six factors, they were classified into the 'fashion pursing group', 'self-confident group', and 'aggressive, self-confident, and materialistically oriented group'. Third, each of the subdivided groups showed significant difference in smartphone addiction. Generally, the 'fashion pursuing group' indicated higher smartphone addiction tendencies than the other group. The findings of this study can provide fundamental and useful information to solve problems related to smartphone addiction resulted from excessive use of smartphones and causing a lot of troubles socially and also in health.

• Database Research
• /
• v.34 no.3
• /
• pp.86-98
• /
• 2018

Point-of-Interest(POI) recommendation systems suggest the most interesting POIs to users considering the current location and time. With the rapid development of smartphones, internet-of-things, and location-based social networks, it has become feasible to accumulate huge amounts of user POI visits. Therefore, instant recommendation of interesting POIs at a given time is being widely recognized as important. To increase the performance of POI recommendation systems, several studies extracting users' POI sequential preference from POI check-in data, which is intended for implicit feedback, have been suggested. However, when constructing a model utilizing sequential preference, the model encounters possibility of data distortion because of a low number of observed check-ins which is attributed to intensified data sparsity. This paper suggests refinement of temporal intervals based on data confidence. When building a POI recommendation system using temporal intervals to model the POI sequential preference of users, our methodology reduces potential data distortion in the dataset and thus increases the performance of the recommendation system. We verify our model's effectiveness through the evaluation with the Foursquare and Gowalla dataset.

• Journal of Internet Computing and Services
• /
• v.9 no.3
• /
• pp.69-77
• /
• 2008

An algorithm for tracking the trace of structured light is proposed to obtain depth information accurately. The technique is based on the fact that the pixel location of light in an image has a unique association with the object depth. However, sometimes the projected light is dim or invisible due to the absorption and reflection on the surface of the object. A dynamic programming approach is proposed to solve such a problem. In this paper, necessary mathematics for implementing the algorithm is presented and the projected laser light is tracked utilizing a dynamic programming technique. Advantage is that the trace remains integrity while many parts of the laser beam are dim or invisible. Experimental results as well as the 3-D restoration are reported.

• Journal of KIISE:Information Networking
• /
• v.34 no.3
• /
• pp.156-167
• /
• 2007

In this paper, we develop the model based prediction algorithm for Variable-Bit-Rate(VBR) video traffic with regular Group of Picture(GOP) pattern. We use multiplicative ARIMA process called GOP ARIMA (ARIMA for Group Of Pictures) as a base stochastic model. Kalman Filter based prediction algorithm consists of two process: GOP ARIMA modeling and prediction. In performance study, we produce three video traces (news, drama, sports) and we compare the accuracy of three different prediction schemes: Kalman Filter based prediction, linear prediction, and double exponential smoothing. The proposed prediction algorithm yields superior prediction accuracy than the other two. We also show that confidence interval analysis can effectively detect scene changes of the sample video sequence. The Kalman filter based prediction algorithm proposed in this work makes significant contributions to various aspects of network traffic engineering and resource allocation.