• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.11
• /
• pp.453-462
• /
• 2016

Since the Internet provides a way of expressing and sharing Internet users' mindsets, corporate marketers want to acquire measurable and actionable insights from web data. In the past, companies used to analyze the attitude, satisfaction, and loyalty of consumers toward their brands using survey data, whereas nowadays this is done using the big data extracted from Social Network Services. In this study, we propose a framework for clustering brand names using the social metrics gathered on social media. We also conduct a case study of the automobile industry to verify the feasibility of the proposed framework. We calculate the brand name distance for each pair of brand names based on the total number of times that they are mentioned together. These distances are used to project the brand name onto a 3-dimensional space using multidimensional scaling. After the projection, we found the clusters of brand names and identified the characteristics of each cluster. Furthermore, we concluded this paper with a discussion of the limitations and future directions of this research.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.9
• /
• pp.77-84
• /
• 2013

There are lots of tries to make a combination between the technology development which is fast arisen and cultural phenomenon which imply in it. We called this research area as the cultural computing or cultural modeling. In this paper, we examine the cultural user interface design, especially cultural design structure based on the contents considering the research trend of the cultural modeling. To design of the contents based on the culture, there is a need to draw a structure of the cultural feature for the contents. To do this, we combine Hofstede's cultural dimensions model with the data of contents and then we suggest cultural index of content(CiCo). Furthermore, we draw national index of cultural content(NiCC), through conjoining CiCo with preference pattern of content consumption for the nations. Suggested CiCo and NiCC are based on Hofstede's model, however they are improved approximately 10% of the explanatory of model than the Hofstede's.

• Journal of the Korean Society of Groundwater Environment
• /
• v.5 no.4
• /
• pp.215-222
• /
• 1998

The objective of this study was to investigate the effects of physico-chemical environmental factors on the changes of bacterial population from two sites used for drinking water and eight sites polluted with various pollutant in Seoul city. In all the stations except for two sites used for drinking water, the concentrations of nitrate- nitrogen and ammonia were in excess of the criteria of groundwater quality by the result of analysis of 40 variations including physicochemical environmental factors, heavy metals, and bacterial populations. The numbers of total bacteria, heterotrophic bacteria and functional groups of bacteria were ranged from 5.1 to 41.4${\times}$10$\^$5/cells/ml and from 0.01 to 29.6${\times}$10$^4$cfu/ml, respectively. The activities of extracellular enzymes showed the ranges of 0.005∼11.3${\mu}$M/l/hr and its order to lipase, phophatase, ${\beta}$-glucosidase, cellulase, chitinase, amylase. The results of correspondence and multidimensional scaling analysis between bacterial populations and its physico-chemical environmental factors were explained the effects of physico-chemical environmental factors according to site characters and separated four group, which is accord with potential pollutants at wells.

• Korean Journal of Construction Engineering and Management
• /
• v.10 no.2
• /
• pp.84-92
• /
• 2009

Recently, lots of the research aspects of space, materials, structure, construction method relation to improving the flexibility going on throughout the construction industry, moreover the development of construction key technology has been accelerating by reason of deterioration in the apartment housing. Therefore, this study should firstly suggests assessment list of construction key technology through investigation of questionnaire and consultation of the expert on the basis of case studies, and should select it about the flexibility which making social issues lastly in the apartment housing. Secondly, this study should classify, reestablish core technology through inspection procedure of feasibility study among lists of deduced key technology. Finally, this study will suggest the manual & guideline for improving the flexibility for a long-life apartment housing at the next generation by selecting, analyzing and estimating higher score items of all key technology.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.10
• /
• pp.155-162
• /
• 2022

In this paper, we examined the research trends and characteristics related to the metaverse in global journals published between 2000 and 2022 from the Web of Science database. The analysis included descriptive statistics, multidimensional scaling, keyword network analysis, and visualization. In addition, semantic network models were constructed, and centrality (betweenness and degree) analysis was performed using R and KH coder in two separate categories based on the trends and aspects of the publication: analysis period 1 (Jan 2000 to Dec 2020) and period 2 (Jan 2021 to Jun 2022). The results showed that the recent global research trends related to the metaverse could be quantitatively characterized using the semantic network analysis. Also, the results could be applied to suggest future research topics in the field of metaverse based on quantitative and empirical data.

• Journal of the Economic Geographical Society of Korea
• /
• v.13 no.2
• /
• pp.253-269
• /
• 2010

This study analyzed image similarity, attribute recognition, and preference by multidimensional scaling. The analyses were carried out by 10 spa destinations (Deoksan, Bugok, Onyang, Yuseong, Suanbo, Bomun, Dongrae, Asan, Dogo, Haeundae) in Korea. The results were as follows: First, according to the analyses of image similarity of spa destinations, 'Haeundae, Dongrae and Bomun,' 'Dogo, Onyang, Asan,' and 'Deoksan, Suanbo, Bugok,' made similar image groups separately. However, Yuseong had different image from the other spa destinations in the above. Second, according to the analyses of attribute recognition of spa destinations, Deoksan and Bugok had more competitive ability in terms of 'the incidental facilities of spa destinations, 'Yuseong, Onyang, Asan, and Dogo' showed high competitiveness in terms of 'accessibility of spa destination' and 'tourism conditions.' Haeundae, Dongrae, and Suanbo had weak competitiveness in terms of 'the accessibility of spa destinations.' Third, according to the analyses of preference about spa destinations based on different job groups, office workers had a preference for Yuseong and Bugok, professional workers for Bomun, the people engaged in the farming, fishing, livestock raising and housewives for Haeundae and Dongrae, government officials, students, factory workers, the people living on a pension for Onyang, Deoksan and Dogo, and the self-employed for Suanbo. In conclusion, according to the analyses of spa destination preference based on different residence groups, residents of Seoul, Incheon, Gyunggi province, Gangwon province, Daejeon, Chungcheong province and Jeolla province had a preference for Yuseong, Suanbo, Onyang, Deoksan, and Asan and the residents of Daegu, Gyungsang province, Busan, Ulsan for Bugok, Bomun, and Haeundae.

• Journal of Korea Multimedia Society
• /
• v.15 no.2
• /
• pp.215-225
• /
• 2012

In multimedia database, a multidimensional space-based indexing has been used to increase search efficiency. However, this method is inefficient in terms of ubiquity because it uses Euclidean distance as a scale of distance calculation. On the contrary, a metric space-based indexing method, in which metric axiom is prerequisite is widely available because a metric scale other than Euclidean distance could be used. This paper is attempted to propose a way of improving VP-tree, one of the metric space indexing methods. The VP-tree calculates the distance with an object which is ultimately linked to the a leaf node depending on the node fit for the search range from a root node and examines if it is appropriate with the search range. Because search speed decreases as the number of distance calculations at the leaf node increases, however, this paper has proposed a method which uses the latest interface on query object as the base point of trigonometric inequality for improvement after focusing on the trigonometric inequality-based range compression method in a leaf node. This improvement method would be able to narrow the search range and reduce the number of distance calculations. According to a system performance test using 10,000 video data, the new method reduced search time for similar videos by 5-12%, compared to a conventional method.

• Science of Emotion and Sensibility
• /
• v.26 no.4
• /
• pp.3-14
• /
• 2023

Recently, the effect of using social media on psychological well-being has been highlighted. However, studies exploring factors that may predict the quality of social media relationships are relatively rare. The present study investigated whether social media activity and psychological states, such as loneliness and depression, can predict the quality of social media relationships during the COVID-19 quarantine period using a machine learning technique. Ninety-five participants completed a self-report survey on loneliness, Instagram activity, quality of social media relationships, and depression at different time points (during the self-isolation and after the release of self-isolation). Similarity analyses, including multidimensional scaling (MDS), representational similarity analysis (RSA), and classification analyses, were conducted separately at each point in time. The results of MDS revealed that time spent on social media and depression were distinguished from others in the first dimension, and loneliness and passive use were distinguished from others in the second dimension. We divided the data into two groups based on the quality of social media relationships (high and low), and we conducted RSA on each group. Findings indicated an interaction between the quality of the social media relationships and the situation. Specifically, the effect of self-isolation on the high-quality social media relationship group is more pronounced than that on the low-quality group. The classification results also revealed that the predictors of social media relationships depend on whether or not they are isolated. Overall, the results of this study imply that social media relationship could be well predicted when people are not in isolated situations.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2009.11a
• /
• pp.175-178
• /
• 2009

본 연구는 감성공학적 접근법으로 터치 모바일 폰의 자유 드로잉 GUI 요소를 디자인 하기 위한 프로세스를 검증하는 것이 목적이다. 본 연구의 프로세스는 다음과 같이 진행되었다. 첫째, 터치폰에서 자유드로잉하는 행태를 파악하기 위하여 남 녀 대학생 57 명을 대상으로 터치폰 일기를 쓰게 하여 분석하였다. 또한 관찰 대상자가 선호하는 패션, 좋아하는 이미지를 수집하여, IRI 표준 이미지 스케일 맵에 매핑하여 감성 요소를 추출하였다. 둘째, 추출된 감성 요소는 Norman(2002)에 의거한 감각적(Visceral), 행태적(Behavioral), 심볼적(Reflective) 감성 어휘로 도출하고, 요인 분석을 통해 대표 감성 어휘를 도출하였다. 셋째, 자유 드로잉을 위한 터치 모바일폰 GUI 요소를 도출한 후 대표 감성 어휘와의 관계성을 분석하여 관계성이 높은 디자인 요소를 추출하였다. 마지막으로 추출된 대표 디자인 요소와 대표 감성 어휘는 다차원척도(Multidimensional scaling : MDS) 분석을 실시하여 2 차원 축에 모델링하고, 정량적으로 디자인에 반영될 주요 감성을 도출해본 결과 사용자의 감성적 경험을 통해 도출된 GUI 와 유사성이 높은 감성 어휘는 감성적 디자인을 할 때 주 요소로 적용 된다는 사실을 확인하였다.

• Journal of the Korean School Mathematics Society
• /
• v.17 no.4
• /
• pp.589-611
• /
• 2014

Since most people experience mathematics anxiety(MA), the research on mathematics anxiety has been the main theme in the research of mathematics education. The study of brain science related to MA has recently been begun due to the advent of apparatuses so this study might have revisited MA as time passed and aimed to obtain realistic implications for the future study. For this purpose, we analyzed previous studies how to measure MA and how to develop the intervention to reduce MA. As the result, the researchers based on brain science studied the relevance of specific parts of the brain according to the degree of MA using only simple computational tasks. The research for developing the MA scale has upgraded how to measure both the cognitive and affective domains with more efficient ways. The research on intervention for MA has developed the programs using systematic desensitization, clinical counseling, STAD teaching method, writing methods, etc. However, we realized that more specified and reliable studies to solve the MA must be done in the future.