• Proceedings of the Korean Statistical Society Conference
• /
• 2003.10a
• /
• pp.307-311
• /
• 2003

개인화된 추천시스템(recommendation system)은 자동화된 정보 필터링 기술을 적용하여 고객의 취향에 맞는 아이템(상품, 기사, 컨텐츠 등)을 추천하는 시스템이다. 이러한 추천시스템에서 가장 중요한 것은 고객의 특성을 정확히 파악하여 가장 적절한 아이템을 추천해 줄 수 있는 능력이라고 할 수 있다. 본 연구에서는 추천시스템을 위해 제안된 여러 알고리즘들을 소개하고 그 특징들을 비교하였으며, 연관성규칙발견과 군집분석을 이용한 추천시스템 알고리즘을 실제 자료에 적용하여 그 결과를 살펴보았다.

• Science of Emotion and Sensibility
• /
• v.25 no.4
• /
• pp.129-138
• /
• 2022

In the context of the increasing applications of voice assistants in vehicles, we focused on the association between the visual appeal of the cars and the acoustic characteristics of the voice assistants. This study aimed to investigate the relationship between the visual appeal of the vehicle and the voice assistant based on their emotional characteristics. A total of 15 adjectives were used to assess the emotional characteristics of 12 types of cars and six types of voices. An online interview was carried out, instructing participants to match three adjectives with the presented car images or voices. This was followed with a brief interview to allow the participants to reflect on the adjective matches. Based on the assessments, we performed principal component analysis (PCA) to determine factors. We aimed to deploy the cars and voices and analyze the patterns of clustering. The PCA analysis revealed two factors profiled as "Light-Heavy" and "Comfortable-Radical." Both car and voice stimuli were deployed in a two-dimensional space showing the internal relationship within and between the two substances. Based on the coordination data, a hierarchical cluster grouped the 18 stimuli into four groups labeled as challenge, elegance, majesty, and vigor. This study identified two latent factors describing the emotional characteristics of both car images and voice types clustered into four groups based on their emotional characteristics. The coherent matches between car style and voice type are expected to address the design concept more successfully.

• Digital Contents Society Review
• /
• v.1 no.1
• /
• pp.73-85
• /
• 2005

• Bioindustry News
• /
• v.14 no.4
• /
• pp.29-34
• /
• 2001

• 전기의세계
• /
• v.59 no.11
• /
• pp.27-31
• /
• 2010

• 한국노년학
• /
• v.32 no.3
• /
• pp.675-687
• /
• 2012

This study is aimed to investigate the difference of leisure time use of elderly groups clustered with demographic factors and finally produce the leisure profile. A total 5392 time diaries, filled up by 65-years old and over in 2009 Time Use Survey, were analyzed by using descriptive statistics, correlation, cluster analysis, and ANOVA accompanied with the Scheffe's tests. The subjects could be clustered into 7 groups such as still working, work than leisure, hobby with friends, various leisure in a city, with religion and friendship, working and doing leisure in their spare time, and leisure in suburb based upon demographic factors such as age, gender, spouse, education, job, income and living area. The data also revealed that the clusters had different time use patterns in pursuing leisure. Overall, leisure in later life could be influenced by working status, and play an important role in filling their loss of job or spouse. The findings could help us plan upcoming leisure program and policies for the elderly.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.9
• /
• pp.3610-3614
• /
• 2010

Taxonomic compositions and species diversities of the planktonic micro algae communities were investigated 8 times during the period from May, 2006 to November, 2007 in Saemangeum water regions. Total of 191 taxa were observed; 94 diatoms, 31 chlorophytes, 24 dinoflagellates, 24 cyanophytes, 11 euglenophytes, 3 silicoflagellates, 1 cryptophyte and 3 unidentified microflagellates. During the period of this study, diversity indices of the community were changed spatio-temporally and fluctuated irregularly. It was surmised that artificial factors to the water condition such as open and lock of the dike stressed to the planktonic micro algal groups.

• Proceedings of the KAIS Fall Conference
• /
• 2010.11b
• /
• pp.651-654
• /
• 2010

본 연구는 국내사업체 수에서 87.9% 이상을 차지하고 있는 소상공인들의 창업과 경영애로 분야에서 가장 시너지효과가 크다고 보여지는 소상공인 조직화부분에 대하여 실증적 연구를 실시하였다. 본연구은 소상공인 조직화를 위하여 소상공인 조직화를 프랜차이즈, 공동브랜드, 업종별 협회, 시 군 구에 등록된 상인회로 구분하였다. 소상공인들의 내적인 면에서 경영전략 선정에 있어서 어떠한 가치관을 가지는 지에 대하여 국내 최초로 군집분석에 의한 실증적인 분석을 시도하였다. 연구결과 소상공인의 인구통계적인 유형에서 성별, 학력, 연령, 업종별로 유의한 조직화 인지와 조직화 효과 그리고 최종적인 경영성과에 차이가 있음을 밝혀냈다. 또한 소상공인들이 경영전략 가치관에 대하여 군집분석을 실시한 결과 가격경쟁지향과 마케팅경쟁지향, 무개념 경영등 3가지 유형의 프로파일을 도출할 수 있었다. 이러한 소상공인 조직화에 대한 프로파일 도출과 조직화 인식도에 따른 경영 성공과 실패의 상호관계에 대한 연구 결과가 의미하는 바는, 향후 정부에서는 소상공인에 대하여 시설 개선과 현대화 사업 추진 못지않게 조직화 개발과 같은 조직관리에 대한 경영현대화 사업에 더욱 많은 노력을 경주하여야 하는 필요성을 밝혀 주었다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.8
• /
• pp.2021-2025
• /
• 2009

This study was to investigate the phytoplankton communities and phytohydrographic characteristics of the inside and outside of the Saemangeum Reservoir from May to November 2006 directly after dike construction. As the cluster analyses, phytohydrographic regions were devided into fresh river water and seawater regions, and the similarities between the sampling sites fluctuated temporarily. Distinctive phytohydrographic difference was shown between inside and outside of the dike in summer. After the dike construction, declining salinity and changing water quality have caused to change the phytoplankton communities and phytohygrographic regions.

• Journal of Information Management
• /
• v.42 no.1
• /
• pp.47-62
• /
• 2011

While an ideal author graph should have its nodes to represent authors, automatically-generated author graphs mostly use author names as their nodes due to the difficulty of resolving author names into individuals. However, employing author names as nodes of author graphs merges namesakes, otherwise separate nodes in the author graph, into the same node, which may distort the characteristics of the author graph. This study proposes an algorithm which resolves author ambiguities based on co-authorship and then yields an author graph consisting of not author name nodes but author nodes. Scientific collaboration relationship this algorithm depends on tends to produce the clustering results which minimize the over-clustering error at the expense of the under-clustering error. In experiments, the algorithm is applied to the real citation records where Korean namesakes occur, and the results are discussed.