• Journal of Digital Convergence
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• v.14 no.2
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• pp.19-30
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• 2016

Domestic and foreign tourists to visit the Baekdudaegan are increasing every year. The purpose of this study is to promote regional development in the Baekdudaegan and to improve the satisfaction of the people who visit the Baekdudaegan area recognized in underdeveloped area. It surveyed the age of 19 years old. Analysis of the factors of selection attributes importance and satisfaction, and the group was separated through cluster analysis. It analyzed a significant difference in the degree of revisit intention and intention of recommendation by cluster groups. They were divided into four groups, according to the selection attributes importance and satisfaction. Groups showed significant differences in the degree of revisit intention and intention of recommendation. The environment elements importance and satisfaction have affected revisit intention and intention of recommendation. It has found out that environment elements have an important factor in selecting the destination and these selection attributes satisfactions have a positive influence on future behavior intention.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.345-352
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• 2013

The demand and production for mobile music increases as the number of smart phone users increase. Thus, the standard of selection of a user's preferred music has gotten more diverse and complicated as the range of popular music has gotten wider. Research to find intelligent techniques to ingeniously recommend music on user preferences under mobile environment is actively being conducted. However, existing music recommendation systems do not consider and reflect users' preferences due to recommendations simply employing users' listening log. This paper suggests a personalized music-recommending system that well reflects users' preferences. Using AHP, it is possible to identify the musical preferences of every user. The user feedback based on the Bayesian network was applied to reflect continuous user's preference. The experiment was carried out among 12 participants (four groups with three persons for each group), resulting in a 87.5% satisfaction level.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2008.11a
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• pp.316-321
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• 2008

Most elevators worldwide do not have smoke protection, fire protection, and other features necessary for them to be considered as a means of fire evacuation. It is the aim of this study to investigate and analyze the recommendation for the evacuation plan using evacuation elevator of AIJ the aim of this study is to introduce AIJ method for the safety plan using evacuation elevator of high rise building written by working group fire resistant.

• Journal of Information Technology Applications and Management
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• v.20 no.3_spc
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• pp.219-230
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• 2013

Real time accessiblity and agility in Ubiquitous-commerce is required under ubiquitous computing environment. The Research has been actively processed in e-commerce so as to improve the accuracy of recommendation. Existing Collaborative filtering (CF) can not reflect contents of the items and has the problem of the process of selection in the neighborhood user group and the problems of sparsity and scalability as well. Although a system has been practically used to improve these defects, it still does not reflect attributes of the item. In this paper, to solve this problem, We can use a implicit method which is used by customer's data and purchase history data. We propose a new clustering method of weighted preference for customer using k-means clustering and Bayesian network in order to improve the accuracy of recommendation. To verify improved performance of the proposed system, we make experiments with dataset collected in a cosmetic internet shopping mall.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.701-702
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• 2008

A large amount of efforts are required to search user's preferred contents for the program contents being provided by IPTV services. In this paper, using collaborative filtering, an automatic recommendation method of IPTV program contents is presented by reasoning similar group preferences on IPTV program contents which constitutes personalized IPTV environments. The proposed method models the user's preference of IPTV program contents with the program attributes such as content, genres, channels actor/actress, staffs and calculates it using the watching history of program contents in different genres and watching times. Also, the proposed method considers timely changing user's preference and the preference oon the content itself, which improves the traditional collaborative filtering methods that can not recommend the non-consumed items.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2008.04a
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• pp.3-6
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• 2008

Most elevators worldwide do not have smoke protection, fire protection, and other features necessary for them to be considered as a means of fire evacuation. It is the aim of this study to investigate and analyze the recommendation for the evacuation plan using evacuation elevator of AIJ the aim of this study is to introduce AIJ method for the safety plan using evacuation elevator of high rise building written by working group fire resistant.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.415-424
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• 2005

The rapid growth of blog has caused information overload where bloggers in the virtual community space are no longer able to effectively choose the blogs they are exposed to. Recommender systems have been widely advocated as a way of coping with the problem of information overload in e-business environment. Collaborative Filtering (CF) is the most successful recommendation method to date and used in many of the recommender systems. Therefore, we propose a CF-based recommender system for bloggers in the virtual community space. Our proposed methodology consists of three main phases: In the first phase, we apply the "Interest Value" to a recommender system. The Interest Value is a quantity value about user preference in virtual community, and can measure the opinion of users accurately. Next phase, we generate the neighborhood group based on the Interest Value. In the final phase, we use the Community Likeness Score (CLS) to generate the top-n recommendation list. The methodology is explained step by step with an illustrative example and is verified with real data of a blog service provider.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.23-26
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• 2022

OTT 서비스의 이용자가 폭발적으로 증가하고 있는 지금, 사용자에게 맞춤형 상품을 추천하는 것은 해당 서비스에서 중요한 사안이다. 본 논문에서는 콘텐츠 기반 추천 시스템의 모델을 제안하고, 영화 데이터를 추가 해가며 예측력을 높일 최종적인 모델을 채택하고자 한다. 이를 위해 GroupLens와 Kaggle에서 영화 데이터를 수집하고 총 1111개의 영화, 943명의 사용자에게서 나온 71026개의 영화 평가 데이터를 이용하였다. 모델 평가 결과, 장르와 키워드만을 이용한 추천 시스템 모델의 RMSE는 1.3076, 단계적으로 데이터를 추가해 최종적으로 장르, 키워드, 배우, 감독, 나라, 제작사를 이용한 추천 시스템 모델의 RMSE는 1.1870으로 모든 데이터를 추가한 모델의 예측력이 더 높았다. 이에 따라 장르, 키워드, 배우, 감독, 나라, 제작사를 이용해 구현한 모델을 최종적인 모델로 채택, 무작위로 추출한 한 명의 사용자에 대한 영화 추천 리스트를 뽑아낸다.

• Journal of Broadcast Engineering
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• v.14 no.3
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• pp.271-279
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• 2009

The Moving Picture Experts Group (MPEG) and Video Coding Experts Group (VCEG) have developed a new standard that promises to outperform the earlier MPEG-4 and H.263 standards. The new standard is called H.264/AVC (Advanced Video Coding) and is published jointly as MPEG-4 Part 10 and ITU-T Recommendation H.264. In particular, the H.264/AVC intra prediction coding provides nine directional prediction modes for every $4{\times}4$ block in order to reduce spatial redundancies. In this paper, an ABS (Adaptive Bit Skip) mode is proposed. In order to achieve coding efficiency, the proposed method can remove the mode bits to represent the prediction mode by using the similarity of adjacent pixels. Experimental results show that the proposed method achieves the PSNR gain of about 0.2 dB in R-D curve and reduces the bit rates about 3.6% compared with H.264/AVC.

• Journal of Technologic Dentistry
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• v.37 no.4
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• pp.229-234
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• 2015

Purpose: The purpose of this study was to analysis the internal fitness of single crown fabricated by additive method technique. Methods: Study models were fabricated. Ten crowns were manufactured by additive method technique (AM group) and another ten crowns using conventional method were manufactured (CM group). The internal fitness of specimens were measured using silicone replica technique. Silicone replicas were sectioned one times (direction: from mesial to distal). The internal fitness were evaluated using by digital microscope. Statistical analyses were performed with independent samples t-test. (${\alpha}=0.05$). Results: Mean(SD) of all internal fitness were $92.1(20.0){\mu}m$ for AM group and $69.7(12.3){\mu}m$ for CM group. Two groups were statistically significant differences (p<0.001). Conclusion: All internal gaps of AM group were ranged within the clinical recommendation ($120{\ss}{\neq}$).