• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.539-542
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• 2010

본 논문에서는 오프라인 쇼핑몰에서 위치추적 기술과 동선분석을 이용하여 오프라인 쇼핑몰 고객의 위치분석 데이터를 분석한 결과를 토대로 고객에게 실시간 대화형(Interactive) 서비스 제공을 위한 선호 상품 시스템을 설계하여 쇼핑효과를 극대화하며, 고객 만족도를 향상시킬 수 있도록 돕는데 그 목적이 있다.

• Korean Journal of Mineralogy and Petrology
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• v.33 no.3
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• pp.259-272
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• 2020

The seismic properties in the crust are affected by the lattice preferred orientation(LPO) of major minerals in the crust. Therefore, in order to understand the internal structure of the crust using seismic data, information on the LPO of the major constituent minerals and the seismic properties of major rocks in a specific region are needed. However, there is little research on the LPOs of minerals in the crust in Korea. In this study, we collected amphibolites from two outcrops in Wigokri, Gapyeong, located in the nothern portion of Gyeonggi Massif, and we measured the LPOs of major minerals of amphibolite, especially amphibole and plagioclase through EBSD analysis, and calculated seismic properties of amphibolite. Two types of LPOs of amphibole, which are defined as type I and type IV, were observed in the two outcrops of Gapyeong amphibolites, respectively. In the case of amphibolites with the type I LPO of amphibole, large seismic anisotropy of both P- and S-wave was observed, while in the amphibolites with the type IV LPO of amphibole, small seismic anisotropy was observed. This is consistent with previous experimental results. The polarization direction of the fast S-wave was aligned subparallel to the lineation regardless of the LPO types of amphibole. The seismic anisotropy observed in Gapyeong is expected to be helpful to interpret the structure and seismic data within the crust in Gyeonggi Massif.

• Information Systems Review
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• v.23 no.3
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• pp.51-75
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• 2021

Global e-commerce websites offer personalized recommendation services to gain sustainable competitiveness. Existing studies have offered personalized recommendation services using quantitative preferences such as ratings. However, offering personalized recommendation services using only quantitative data has raised the problem of decreasing recommendation performance. For example, a user gave a five-star rating but wrote a review that the user was unsatisfied with hotel service and cleanliness. In such cases, has problems where quantitative and qualitative preferences are inconsistent. Recently, a growing number of studies have considered review data simultaneously to improve the limitations of existing personalized recommendation service studies. Therefore, in this study, we identify review and rating mismatches and build a new user profile to offer personalized recommendation services. To this end, we use deep learning algorithms such as CNN, LSTM, CNN + LSTM, which have been widely used in sentiment analysis studies. And extract sentiment features from reviews and compare with quantitative preferences. To evaluate the performance of the proposed methodology in this study, we collect user preference information using real-world hotel data from the world's largest travel platform TripAdvisor. Experiments show that the proposed methodology in this study outperforms the existing other methodologies, using only existing quantitative preferences.

• Science of Emotion and Sensibility
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• v.5 no.1
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• pp.9-16
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• 2002

This study was designed to cluster the preferred sensibilities of college students, and to distinguish the most preferred sensibility according to gender and their inter-subject differences. 98 of sensibility adjectives were composed into questionnaire with SD method and the data of 176 students were analyzed in ANOVA, Cluster and Correspondence analysis using SAS package. College students were divided into 10-sensibility clusters: the Casual(no-decoration casual, cool-dynamic casual and elaborate-clean casual), the Romantic Modem, the Simple Natural, the Classic(craft-romantic classic and monotonous classic), the Expressionless, the Gorgeous, and the Traditional Folklore. The adjectives and the sensibility clusters of students were visualized together into 2-D with two axis of static vs. dynamic and light vs. heavy.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.4
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• pp.139-151
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• 2017

The habitat preference of roe deers(Capreolus pygargus) in Jeju island, South Korea was analyzed by using their occurrence probability in MaxEnt model in this study. Totally 490 surveying data were gathered and 15 environmental variables were chosen for the model in which 6 variables out of 15 ones were filtered and finally removed because of there being higher correlation(over 0.7 in correlation coefficient). According to the modeling, roe deers were known to prefer the area ranging from 200 to 700 meter and over 1,500 meter in sea level, where there were not many dominant tree and/or dominant vegetation with low density so that understory vegetation can grow well with plentiful sunlight and can be used as a food of herbivore like roe deers. Otherwise, the region ranging from 700 to 1,500 meter was mostly covered with high density vegetation which cut off sunlight trying to penetrate through the dominant vegetation. It can cause a lower density of vegetation on surface, which can not attract to roe deers.

• Journal of Cadastre & Land InformatiX
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• v.53 no.2
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• pp.79-92
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• 2023

With a growing interest in the Han River Skyline, which greatly influences Seoul's image, careful consideration of the skyline form has become crucial in the redevelopment plans for apartment complexes along the Han River. The Seoul Metropolitan City government has lifted the height limitations for apartments along the Hang River to cultivate a vibrant skyline. However, traditional skyline analysis often overlooks specific attributes, limiting the provision of precise guidelines for Seoul's unique skyline plans. Despite advancements in Digital Twin technology, only some tools effectively manage urban skylines with preferred shapes. Hence, this study aims to make a substantial contribution to the advancement of a Digital Twin 3D modeling program capable of effectively managing urban skylines. This is achieved through the utilisation of Conjoint Analysis, which assesses the importance of each attribute in determining the preferred skyline shape. Focusing on Apgujeong apartment complexes along the Han River currently undergoing redevelopment or planned for redevelopment, the study analyses the preferred skyline shape to propose standards for the Digital Twin 3D modeling program development. It also suggests that Conjoint Analysis can be beneficial in this process.

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.69-73
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• 2008

본 연구에서는 소비자들이 선호하는 휴대폰 제조사 브랜드를 평가하기 위하여 무형 자산 평가기법을 적용하여 비교 분석 하였다. 기존의 연구는 기초적인 통계적 사실에 근거하여 단편적으로 평가를 하였다. 하지만 휴대폰 제조사 선호도 평가는 무형자산 평가와 깊은 관련이 있다. 따라서 본 연구에서는 기존 연구와는 다르게 무형자산 평가기법을 적용하여 휴대폰 제조사 브랜드 선호도를 평가하고자 한다.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.637-644
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• 2011

The purpose of this research is to provide objective information about Korean and Chinese's sensitivity and preference among various Korean fonts, and offer guidelines for using it. Firstly, to analyze Korean fonts in objective way, We compared about image of Korean fonts to Chinese who feel unfamiliar with Korean letter, and proved how different from Korean's opinion. Secondly, one compared preference in particular fonts between Korean and Chinese. Through the factor analysis, the results are as follows. First, Korean and Chinese feel the same about the two groups of factors. There are differences in the rank, but the majority of fonts are included in the same group. It can be concluded that both Korean and Chinese has similar sensitivity about Korean fonts. Second, while Korean and Chinese decides preference on the familiarity, Chinese who are not familiar with Korean letters, have tendency to prefer calligraphic font which they have been using in the Chinese letter.

• 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.

• Korean Journal of Environment and Ecology
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• v.28 no.5
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• pp.597-606
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• 2014

The preference of general adult on the forest and forest road was surveyed and analyzed for the development of forest therapy program. This study was conducted for the purpose of providing a basis for the development of more targeted-and differentiated-forest therapy program by analyzing the preference of general adult on the forest and forest road from 19 April 2014 to 30 June 2014 through on-line survey. The sample group of 613 adults has been used in practical analysis. Using SPSS 21.0, We looked at the preference differences of the forest and forest road according to the demographic characteristics(sex, age, education level, occupation and monthly income) through descriptive statistics analysis, frequency analysis, cross tabulation analysis, multiple response analysis. The seasonal preference was spring, autumn, any season, summer, winter in order and there was a significant difference according to one's sex, age, occupation and monthly income. There was a significant difference in the configuration of forest according to one's monthly income. The favorite type of forest as a place of forest healing program was natural recreational forest, healing forest, urban forest, park, school forest in order. There was no significant difference in the favorite forest type regarding to the distance to the healing place from one's residence in all cases. There was a significant difference in the type of forest according to one's monthly income. The most favorite configuration of forest road was gentle sloped road. Once walking into the forest for the purpose of healing, the favorite forest road length was 1.5~3 km, less then 1.5 km, more than 3 km in order and there was a significant difference in preference according to one's sex, age, education level and monthly income. We believe that the healing program should be differentiated from the general form of it according to one's sex, age, education level, occupation and monthly income as a result of this investigation of preference of general adult on the forest and forest road for the development of forest therapy program. In particular, we believe that the differentiated program should be offered according to one's age. We expect this analysis to be used as a basis for the development of forest therapy program.