• Journal of Environmental Policy
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• v.6 no.2
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• pp.71-96
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• 2007

This study aimed at effectively applying the IUCN category system to the protected areas in Korea. In addition, in order to change IUCN category of national parks to IUCN category II and to review the application of IUCN category classification key, a case study was conducted in Sobaeksan National Park. In order to apply the IUCN category system to the protected areas in Korea, a flexible approach appropriate to characteristics in Korea is required for management objectives of protected areas, including protection of wildemess, sustainable use of resources and preservation of cultural and traditional features. In addition, considerations of restrictions on use area and use districts, relative comparison of use types (visit, use of resources, residence) by IUCN category and use of combined classifications are necessary. Principles for the application of the IUCN category include (1)exclusion of wilderness protected areas (Ib), (2) extremely limited use regarding the sustainable use of natural resources(sum of natural preservation area and natural environment area is over 95%), (3) considerations of management conditions, including residential occupation level, (4) preservation of ecosystem services, and (5) use of combined classifications. In addition, in accordance with these principles, IUCN category classification key was suggested. When this was applied to the case study area, Sobaeksan National Park was classified as IUCN Category II and Taxus cuspidata community, which is designated as a natural monument, was classified to be Category Ia. Classification key suggested in this study may be used as basic data for applying categories in the future. Since detailed review on the practical improvement direction of laws and regulations and systematic alternatives, which are required before introducing IUCN category, are poor, in order to manage the protected areas efficiently by applying the IUCN category in the future, studies on management means appropriate to the conservation objectives of each category are necessary. This would allow management differentiated for each category.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.3
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• pp.10-17
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• 2012

In general, image-based 3D scenes can now be found in many popular vision systems, computer games and virtual reality tours. In this paper, we propose a method for creating 3D virtual scenes based on 2D image that is completely automatic and requires only a single scene as input data. The proposed method is similar to the creation of a pop-up illustration in a children's book. In particular, to estimate geometric structure information for 3D scene from a single outdoor image, we apply the tensor voting to an image segmentation. The tensor voting is used based on the fact that homogeneous region in an image is usually close together on a smooth region and therefore the tokens corresponding to centers of these regions have high saliency values. And then, our algorithm labels regions of the input image into coarse categories: "ground", "sky", and "vertical". These labels are then used to "cut and fold" the image into a pop-up model using a set of simple assumptions. The experimental results show that our method successfully segments coarse regions in many complex natural scene images and can create a 3D pop-up model to infer the structure information based on the segmented region information.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.3
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• pp.67-73
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• 2012

Local color transfer is the process of assigning a given color to a local region in a target image. The local region that contains the given color has to be segmented. Conventionally, the segmentation of the corresponding local region in a target image is based on the color distance. The region which is the closest in color distance is separated. However, since the close range of color distance separating a given color from target image is ambiguous and uncertain, color distortion is often generated around a separated local region. Therefore, this paper addresses the problem of segmentation in a local color transfer. To prevent color distortion, a modified color influence map is proposed with color categories. First, the target image is roughly segmented using a color category map, which groups similar colors in color space. It restricts the color transfer to a specific color category according to a given color. Second, modified color influence map assigning different weight to lightness and chroma, respectively, is used instead of Euclidian color distance. Then, by combining a modified color influence map and color category map filtered with anisotropic diffusion, a local region that contains a given color can be segmented more strictly than conventional method.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.1
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• pp.29-40
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• 2013

The object of this research is to elicit the ecological wetland's creating and maintaining conditions through GIS and AHP(Analytic Hierarchy Process) on common characteristics of wetland, by exploring the function of the long-standing and naturally created wetlands in South Han-river basin. Geomorphological, geologic, hydraulic & hydrological, pedological, environmental & ecological approaches of five categorizations were made based on the documents and precedent studies in order to perform the research object. Elicitation of the common creating and maintaining conditions on the objected wetlands through analysis of satisfactory conditions was conducted by performing an overlay analysis from the gathered information in each category and linking its result to each wetland. Also, elicitation of highly believable qualified analysis result was made by calculating the each factor's weight through application of AHP analysis method on each factor. The research result is expected to be applied effectively in suitability selection for creation of an artificial wetland and restoration and maintenance for naturally created wetlands when introducing the No Net Loss of Wetlands. In addition, with a new understanding on wetland and beyond the value of its conservativeness, this research result can be considered as a solution for Eco-Wetland's maintainable development.

• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.51-64
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• 2014

It becomes more and more important for business survival to have the ability to predict the future with uncertainties increasing faster and faster. To predict the future, text mining tools are one of the main candidate other than traditional quantitative analyses, but those efforts are still at their infancy. This paper is to introduce one of those efforts using the case of company "P" in the steel industry. Even with only four month pilot studies, we found strong possibilities, if not testified robustly, to predict future industrial trends using text mining tools. For these text mining case studies, we categorized steel industry trend keywords into ten components (10 categories) to study ten different subjects for each category. Once found any meaningful changes in a trend, we had investigated in more detail what and how some trend happened so. To be more roust, firstly we need to define more cleary the purpose of text mining analyses. Then we need to categorize industry trend key words in a more systematic way using systems thinking models. With these improvements, we are quite sure that applying text mining tools to analyzing industry trends will contribute to predicting the future industry trends as well as to identifying the unseen trends otherwise.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.63-73
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• 2016

In these days startup became one of the most hot issue in business world. The problem is many startup couldn't overcome the valley of death. For this reason many startup want to funded by venture capital. However startup's business is trade secret itself, so they have to make strategic approach to venture capital. The purpose of study is to find the way to make strategic decision for startup. By analyzing the relation between startup's characteristic and venture capital's investment portfolio. Four famous venture capital(Sequoia capital, Lightspeed venture, Firstround and Khosla venture) and their seed invested startup Dropbox, Airbnb, Snapchat, Uber and Instacart was selected for this study. As a result, each venture capital has their own invest category characteristic and their seed funding belong to their category. Moreover, between seed funded startup and 36,4% of 244 past invented company shown vertical relationship, beside 0.5% of past 244 invested company shown horizontal relationship. This result shown the importance of the relation between startup's characteristic and venture capital's portfolio. Startup have to check the venture capital's portfolio for the strategic approach for funding and venture capital have to make mutual positive portfolio for decreasing the risk.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.289-334
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• 2018

Even though information in many languages other than English is quickly increasing, English is still playing the role of the lingua franca and being accounted for the largest proportion on the web. Therefore, it is necessary to investigate the key features and differences between "information searching behavior using mother tongue as a search language" and "information searching behavior using English as a search language" of users who are non-mother tongue speakers of English to acquire more diverse and abundant information. This study conducted the experiment on the web searching which is applied in concurrent think-aloud method to examine the information searching behavior and the cognitive process in Korean search and English search through the twenty-four undergraduate students at a private university in South Korea. Based on the qualitative data, this study applied the frequency analysis to web search pattern under search language. As a result, it is active, aggressive and independent information searching behavior in Korean search, while information searching behavior in English search is passive, submissive and dependent. In Korean search, the main features are the query formulation by extract and combine the terms from various sources such as users, tasks and system, the search range adjustment in diverse level, the smooth filtering of the item selection in search engine results pages, the exploration and comparison of many items and the browsing of the overall contents of web pages. Whereas, in English search, the main features are the query formulation by the terms principally extracted from task, the search range adjustment in limitative level, the item selection by rely on the relevance between the items such as categories or links, the repetitive exploring on same item, the browsing of partial contents of web pages and the frequent use of language support tools like dictionaries or translators.

• Journal of Korean Society of Transportation
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• v.20 no.1
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• pp.39-52
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• 2002

Traffic data by vehicle classification is difficult for mutual exchange of data due to the different vehicle classification from each other by the data sources; as a result, application of the data is very limited. In Particular. in case of TCS vehicle classification in national highways, passenger car, van and truck are mixed in one category and the practical usage is very low. The research standardize the vehicle classification to convert other data and develop the model which can estimate national highway traffic data by the standardized vehicle classification from the raw traffic data obtained at the highway tollgates. The tollgates are categorized into several groups by their features and the model estimates traffic data by the standardized vehicle classification by using the point estimation and bootstrap algorithm. The result indicates that both of the two methods above have the significant level. When considering the bias of the extreme value by the sample size, the bootstrap algorithm is more sophisticated. Using result of this study, we is expect the usage improvement of TCS data and more specific comparison between the freeway traffic investigation and link volume on freeway using the TCS data.

• Journal of Global Scholars of Marketing Science
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• v.14
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• pp.59-80
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• 2004

As industrial development standardizes the quality of products, people are increasingly attracted by a certain brand with intangible value. Consumers, surrounded by a variety of brand in a market, want to have relationships with specific brands reflected by their personality. Especially in fashion, brand personality is more important since products are highly involved in terms of personal emotion. The purpose of the study is to identify the dimension of overall fashion brand personality, to specify the 'Dimension of Fashion Brand Personality' according to fashion product categories (i.e., formal wear, casual wear, sports wear), and to investigate the effect of each dimension of fashion brand personality on brand preference and purchase intention. The results were as follows: Firstly, based on Aaker(1997)'s 'Big five factors' and selection fashion brand personality factors from our pretest, the fashion brand personality factors were verified as 'Fashionable/ Innovative', 'Sincere', 'Universal! Stable', 'Professional'. Secondly, according to fashion product categories, brand personality was defined as below. Brand personality for formal wear included 'Innovative/ Active', 'Stable', 'Professional', and 'Universal'. Brand personality for casual wear included 'Fashionable/ Innovative', 'Active', 'Sincere', and 'Stable'. Brand personality for sports wear included 'Innovative', 'Social', 'and 'Sincere'. Finally, overall fashion brand personality factors (' Sincere', 'Universal! Stable', 'Professional') influenced on brand preference and purchase intention. In formal wear, 'Professional' influenced on brand preference and purchase intention. In casual wear, 'Active' influenced on brand preference, but 'Fashionable' and 'Sincere' influenced on purchase intention. In sports wear, 'Sincere' influenced on brand preference and 'Innovative' influenced on purchase intention.

• Korean Journal of Health Education and Promotion
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• v.25 no.5
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• pp.65-77
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• 2008

Objectives: The purpose of this study was to examine factors associated with the self-rated health status of the elderly and whether these factors were different from younger adults. Methods: An interview survey was conducted on non-institutionalized adults in Wonju City, Korea. Determinants of self-rated health status were identified and compared between individuals aged 19 to 64 years and those aged 65 years and over, using an ordered logistic regression conducted separately on these two groups. Participants were 1,685 younger adults and 188 elderly people. Self-rated health status was measured along a continuous scale from 0 to 100 (0 for the worst and 100 for the best they could imagine) and then binned into 11 categories. Results: Self-rated health status of the elderly in Wonju was associated with household income, education, bereavement, adequate sleep, daily and social life being affected by poor health status, mobility, and anxiety and depression. Household income, adequate sleep, and participation in social activities were significant only in the elderly, while some factors associated with the self-rated health status of younger adults, such as rural dwelling, regular exercise, living alone, and skipping breakfast were not significant in the elderly. Conclusion: In order to improve the health of the elderly in Wonju City, it would be necessary to develop programs addressing those specific needs of the elderly and to integrate them effectively in the Healthy City projects.