• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1981-1989
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• 2008

Different people buy the same or similar products for different reasons. Benefit segmentation attempts to understand these differences by grouping together people who assign a similar level of importance to the same attributes. We focused on identifying market segments for knit fabrics by comparing the relative attribute preference for knit fabrics according to segmented clusters, and testing to establish if there were significant differences between the preferences of clusters. Three consumer segments emerged, and there were three clusters with different ideal knit profiles: a preferred wool group, a preferred acrylic group, and a preferred long stitch length group. The preferred wool group and the preferred acrylic group rated the mixture ratio as the main attribute that determined their preference, followed by the stitch length. The preferred long stitch length group considered stitch length as being the most important attribute, followed by the mixture ratio. The difference in the preferences for the mixture ratio and stitch length of knit fabrics was the highest between the three clusters, The preferred wool group preferred a knit fabric that has a greater wool mixture ratio and a short stitch length, and the preferred acrylic group and long stitch length group preferred a knit fabric that had a higher acrylic mixture ratio and a short stitch length.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.362-381
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• 2017

People are most commonly divided by their nationality, but that does not mean they share the same culture. Even for people from one cultural background, subcultures play an important role for diversity and identity, and popular music is one way to express them. This study analyzed 6 songs of the Hip Hop genre from the US, Germany and South Korea, with one song each from the time of first emergence of the term 'Hip Hop' and one song each from 2016, selected on the basis of popularity indicated by music record sales and specialist literature on the history of Hip Hop. Through semiotic analysis of early and recent Hip Hop in each country, the changes in popular Hip Hop over time were examined. The results of this study show that through standardization, Hip Hop in the three countries has superficially become more similar and more focused on the individual, but on a detailed level shows significant differences: while U.S. Hip Hop refers to the American Dream, German Hip Hop displays an extreme image of masculinity, and Korean Hip Hop deals with private thoughts. Although popular Hip Hop nowadays does not explicitly exercise social criticism it is still ascribed the symbolic significance of a rebellious and revolutionary cultural practice that can be used to criticize and change culture as well as society.

• Korean Journal of Environment and Ecology
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• v.24 no.5
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• pp.591-600
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• 2010

We estimated and compared C storages and annual $CO_2$ uptakes by 9 dominant tree species planted along the streets. DBH and age by tree species were measured in the sites selected considering the planting status and distributions of tree species, and biomass, C storage, growth rate, and annual $CO_2$ uptake were estimated for each species. As a result, L. tulipifera, M. glyptostroboides, P. occidentalis were classified into fast-growing group, P. serrulata, G. biloba, Z. serrata, S. japonica, A. palmatum showed intermediate growth rates, and P. densiflora was slow-growing. Average C storage per tree was 205kgC/tree and ranged from 518kgC/tree(L. tulipifera) to 41kgC/tree(P. densiflora). Average annual $CO_2$ uptake by urban street trees over their lifespan ranged from $7.6kgCO_2$/tree/y to $99.1kgCO_2$/tree/y and L. tulipifera was the greatest, followed by glyptostroboides and P. occidentalis, and P. densiflora was the lowest. Total annual $CO_2$ uptake by all street trees in Gyeonggi-do, estimated based on the annual $CO_2$ uptake by each species, was as small as approximately 0.67% of that by forest in Gyeonggi-do. However, urban trees are still important because forest area continues to decrease and urbanization occurs annually in Gyeonggi-do, and should be managed considering their multi-functional aspects, including mitigation of heat island effect and building energy saving(indirect $CO_2$ uptake).

• The KIPS Transactions:PartA
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• v.16A no.6
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• pp.453-462
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• 2009

Studies on software plagiarism detection, prevention and judgement have become widespread due to the growing of interest and importance for the protection and authentication of software intellectual property. Many previous studies focused on comparing all pairs of submitted codes by using attribute counting, token pattern, program parse tree, and similarity measuring algorithm. It is important to provide a clear-cut model for distinguishing plagiarism and collaboration. This paper proposes a source code clustering algorithm using a probability model on extreme value distribution. First, we propose an asymmetric distance measure pdist($P_a$, $P_b$) to measure the similarity of $P_a$ and $P_b$ Then, we construct the Plagiarism Direction Graph (PDG) for a given program set using pdist($P_a$, $P_b$) as edge weights. And, we transform the PDG into a Gumbel Distance Graph (GDG) model, since we found that the pdist($P_a$, $P_b$) score distribution is similar to a well-known Gumbel distribution. Second, we newly define pseudo-plagiarism which is a sort of virtual plagiarism forced by a very strong functional requirement in the specification. We conducted experiments with 18 groups of programs (more than 700 source codes) collected from the ICPC (International Collegiate Programming Contest) and KOI (Korean Olympiad for Informatics) programming contests. The experiments showed that most plagiarized codes could be detected with high sensitivity and that our algorithm successfully separated real plagiarism from pseudo plagiarism.

• Journal of the Korean Institute of Landscape Architecture
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• v.15 no.1
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• pp.39-67
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• 1987

The purpose of this thesis is to suggest objective basic data for the environmental design through the quantitative analysis of the visual quality included in the physical environment of forest landscape. For this, landscape values of forest landscape have been evaluated by using the Iverson method, the images structure of forest landscape's main utilizing space have been analysed by the factor analysis algorithm, degree of visual preferences have been pleasured mainly by questionnaries and SBE method, and finally these thesis can be summarized as fallow LCP with high values of Iverson factors I and IV yield high landscape value. Specifically, Iverson factor IV has been found to play the dominant. For all experimental points, significant seasonal variations in S.D. scale values have been observed. In natural parks, where artificial structures are complementary to the natural landscape, main factors of image are S.D. scales such as the visual sequence, the formal simplicity of structures, the emphasis, the unification of heterogeneous factors and the assimilation. Factors covering the spatial image of natural parks have been found to be the overall evaluation, the individual characteristics, the tidiness, the potentiality, the dignity, the intimacy and the space volume. For all seasons, factors such as the individual characteristics, the dignity, the tidiness, the potentiality, yield high factor scores. As for factors determining the degree of visual preference, variables such as the summit, the skyline, rocks, the water and the degree of natural destruction by artificial structures yield high values for all seasons.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.1
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• pp.9-17
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• 2009

Twenty years have passed since the adoption of natural recreation forests and each forest has its own characteristics. However, there is hardly any classification among the natural recreation forests. The purpose of this study is to classify the forests by considering the supplier's perspective as well as the user's perspective in order to provide fundamental materials for the operation of the natural recreation forests. A factor analysis was conducted to identify the common characteristics of the selected twelve variables by pre-selection and survey of experts. K-means cluster analysis was conducted among those factors to classify the natural recreation forests in Korea. Four factors were drawn after the factor analysis and the factors were named according to the variables and sizes as 'The use performance and visiting condition factor', 'Education and settlement factor', 'Internal activation factor' and 'Potential factor' In addition, the cluster analysis of an $85{\times}4$ matrix was conducted for the points of the drawn factors and the final classification consists of five groups. The results of this study may contribute to providing fundamental materials for the operation and management of natural recreation forests. Also, it may act as a reference when investigating the natural recreation forests of Korea. Proposing the classification natural recreation forests could be helpful in selecting the proper recreation forest in the future. Based on the established model, fundamental materials could be provided to improve the profitability of the natural recreation forests by effectively expanding the number of tourists, creating new natural recreation forests and proper maintenance and management.

• Journal of the Korean Geographical Society
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• v.49 no.3
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• pp.405-422
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• 2014

Two important issues in hedonic model are to specify accurate model and delineate submarkets. While the former has experienced much improvement over recent decades, the latter has received relatively little attention. However, the accuracy of estimates from hedonic model will be necessarily reduced when the analysis does not adequately address market segmentation which can capture the spatial scale of price formation process in real estate. Placing emphasis on improvement of performance in hedonic model, this paper tried to segment real estate markets in Gangnam-gu and Jungrang-gu, which correspond to most heterogeneous and homogeneous ones respectively in 25 autonomous districts of Seoul. First, we calculated variable coefficients from mixed geographically weighted regression model (mixed GWR model) as input for clustering, since the coefficient from hedonic model can be interpreted as shadow price of attributes constituting real estate. After that, we developed a spatially constrained data-driven methodology to preserve spatial contiguity by utilizing the SKATER algorithm based on a minimum spanning tree. Finally, the performance of this method was verified by applying a multi-level model. We concluded that submarket does not exist in Jungrang-gu and five submarkets centered on arterial roads would be reasonable in Gangnam-gu. Urban infrastructure such as arterial roads has not been considered an important factor for delineating submarkets until now, but it was found empirically that they play a key role in market segmentation.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.651-655
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• 2007

카툰 렌더링 그래픽을 기반으로 한 온라인 RPG 게임인 마비노기에서는 게임이용자들이 염색 시스템을 통하여 의복아이템에 자신들이 원하는 색을 자유롭게 표현할 수 있다. 마비노기에서 색에 관련된 주목할 만한 현상은유행색이 존재하고 색에 따라 같은 아이템의 가격이 달라진다는 점이다. 유행색이 존재하는 것은 현실과 비슷하지만 같은 아이템이 색에 따라 가격이 달라지는 것은 현실에서는 보기 드물다. 이는 현실과 비슷하면서도 심리적인 속성이 다른 사이버공간만의 특징이라고 생각해 볼 수 있다. 따라서 마비노기에서 게임이용자들이 색을 선택하고 사용할 때 작용하는 심리기제가 존재할 것이라고 가정해 볼 수 있다. 이에 본 연구에서는 마비노기에서 색 선택 행동의 심리적 유형을 확인하고 유형별 특징을 알아보기 위해 자아존중감을 측정하였다. 예비 조사를 통해 게임이용자 20명과 온라인 인터뷰를 실시하여 색 사용 경험을 추출하고, 추출한 경험을 바탕으로 18문항의 색 선택 행동 문항을 구성하였다. 본 조사에서는 온라인 설문으로 129명의 게임이용자를 대상으로 색 선택 행동과 자아존중감을 측정하였다. 연구 결과 색 선택 행동은 4개의 요인-색채 둔감성, 유행추종, 개성표현, 캐릭터이미지와의 적합성-으로 구분되었다. 색선택 행동 4개의 하위 요인을 기준으로 군집분석한 결과 색 선택 행동 유형은 각각 색 분화형, 유행추종형, 색 둔감형으로 구분되었다. 색 선택 행동 유형과 자아존중감과의 관계에서는 자아존중감 하위 범주 중 부정적인 자기평가, 타인의 의견에 대한 걱정, 의존성의 세 가지 하위 범주에서 색 선택 행동 유형에 따른 차이가 유의미하게 나타났다. 한편 자의식 차원에서는 색 선택 행동 유형간 유의미한 차이가 발견되지 않았다. 유행추종형은 다른 두 유형에 비해 상대적으로 자아존중감 수준이 낮음을 확인할 수 있었다. 반대로 색 둔감형은 다른 두 유형에 비해 상대적으로 자아 존중감 수준이 높았다. 색 분화형은 유행추종형과 색 둔감형의 중간 수준의 자아존중감을 볼 수 있었다. 유행추종형은 자기의 외부에서, 색 둔감형은 자기의 내부에서 색과 관련된 자신에 대한 가치감의 소재와 근원을 찾는 특성이 있다고 해석할 수 있다. 본 연구는 온라인 RPG 게임에서 게임이용자들의 색 선택의 심리적 기제를 확인하고 색 선택 유형별로 자아존중감과의 관계를 확인함으로써 색 선택 행동의 심리적 기제를 밝히려는 기초연구라는 점에 의의가 있다. 추후에는 게임이용자들의 색 선택 행동을 보다 포괄적으로 이해하기 위해 게임이용자들이 가지고 있는 공통적인 색이미지와 개별적인 색이미지 및 색이미지의 심리적 구조를 알아보기 위한 색채감성연구가 필요할 것이다. 이러한 연구들은 게임을 제작할 때 캐릭터 디자인과 아이템 디자인에 어떠한 색을 사용해야 되는지 방향을 설정하는데 도움을 줄 수 있을 것이다.

• KOMUNHWA
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• no.61
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• pp.67-93
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• 2003

The bronze hand knife is classified into 10 types in Liao-Ning and Ji-Lin provinces in the Bronze Ages; Bronze hand knife with hanging knob in the handle(Type A), with handle similar to the kitchen knife handle(Type B), with spoon-shaped ornament on the e

• Journal of Korean Society of Transportation
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• v.18 no.6
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• pp.63-75
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• 2000

Stated Preference (SP) data has been regarded as more useful than Revealed Preference (RP) data, because researchers can investigate the respondents\` Preference and attitude for a traffic condition or a new traffic system by using the SP data. However, the SP data has two bias: the first one is the bias inherent in SP data and the latter one is the attrition bias in SP panel data. If the biases do not corrected, the choice model using SP data may predict a erroneous future demand. In this Paper, six route choice models are constructed to deal with the SP biases, and. these six models are classified into cross-sectional models (model I∼IH) and dynamic models (model IV∼VI) From the six models. some remarkable results are obtained. The cross-sectional model that incorporate RP choice results of responders with SP cross-sectional model can correct the biases inherent in SP data, and also the dynamic models can consider the temporal variations of the effectiveness of state dependence in SP responses by assuming a simple exponential function of the state dependence. WESML method that use the estimated attrition probability is also adopted to correct the attrition bias in SP Panel data. The results can be contributed to the dynamic modeling of SP Panel data and also useful to predict more exact demand.