• Journal of Engineering Education Research
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• v.3 no.2
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• pp.61-70
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• 2000

To survive in the highly competitive environment, a vocational education institution must offer its students an attractive system of competency based vocational education. A first-term freshman at university and college should also be allowed to adjust the course selection Early exposure within one or more fields of study creates a high level of enthusiasm which helps students maintain their motivation. It also helps students decide if course selection is right for career choice and they should be provided a large number of diverse occupational opportunities later In this paper, we discuss how to activate the vocational education. Also we developed vocational guidance program for course selection through the subject for vocational guidance and the learning map for learning plan. This program was assessed through the survey on opinions of freshman.

• Journal of the Korean Geographical Society
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• v.44 no.3
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• pp.410-427
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• 2009

This study aims to rethink the meaning of graphicacy, discuss the possible criteria to evaluate the level of graphicacy, and show how the graphicacy differs through different grades. First, it finds that as school grades advance, implicit information processing abilities, and conceptual information processing abilities were more required comparing to explicit information processing abilities, when interpreting graphic data. Secondly, the percentage of items which examinee showed a proficient level, decreased as school grades advanced. Thirdly, the graphicacy level of sixth graders was the status of being able to derive explicit information from pictorial maps and read implicit information in simple contour map or line graphs. Ninth graders were able to infer causal relationship between geographic phenomenons by utilizing graphic materials. Tenth graders could read graphic materials by utilizing simple knowledge and experience.

• Korean Journal of Environment and Ecology
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• v.28 no.4
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• pp.393-403
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• 2014

The aim of this study was to use the information deduced from biotopemap in Boryeong, Chungnam province conducted in 2011 and to select the wildlife survey point. The information used for the study was deduced from the knowledge and experience of wildlife specialists and was realized by 6 environmental variables (Outside distance from food vegetation, Outside distance from farm land, Outside distance from forest, Human density, Outside distance from road, Outside distance from water). 6 environmental variables were modeled by map overlay method and the model could deduce the correlation of 94.72% as a result of comparing with occurrence information. The areas predicted to have many occurrences were rural landscapes, forests, and valleys, and they can be used to deduce the quality wildlife survey results in the limit of survey range (area, schedule, and budget). However, it had the limit points such as the inside of forests was excluded, all species did not prefer the same habitat. The following studies are needed for this part in the future.

• Journal of KIISE
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• v.43 no.1
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• pp.71-79
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• 2016

Disambiguation of homographs is an important job in Korean semantic processing and has been researched for long time. Recently, machine learning approaches have demonstrated good results in accuracy and speed. Other knowledge-based approaches are being researched for untrained words. This paper proposes a hybrid method based on the machine learning approach that uses a lexical semantic network. The use of a hybrid approach creates an additional corpus from subcategorization information and trains this additional corpus. A homograph tagging phase uses the hypernym of the homograph and an additional corpus. Experimentation with the Sejong Corpus and UWordMap demonstrates the hybrid method is to be effective with an increase in accuracy from 96.51% to 96.52%.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.1
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• pp.39-63
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• 2010

As foreign immigrants are rapidly increasing, how they without previous knowledge and experience adjust themselves to local circumstances where they come to live becomes a major social issue. In order to analyze their adjustment process, this paper suggests a model which consists of relationships with local environment and people on the one hand, and of geographical knowledge and imagination on the other. The analysis of questionnaire survey based on the conceptual model suggests some findings. As there are considerable differences in the extent of their local adjustment and felt difficulties among immigration types, nationalities, and dwelling regions, foreign immigrants‘ policies should be devised proper for their type and characters.

• Journal of Korea Technology Innovation Society
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• v.11 no.4
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• pp.639-670
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• 2008

The BSC which was proposed by Kaplan and Norton, is being used as a general performance measurement tool in various firms and industries. BSC approach links strategic objectives with specific operation indices and it can efficiently evaluate the attainment of the goals of the firm. This study is a BSC based case of the government R&D institute which is staffed with knowledge experts in the research areas. In order to bring a major change to a public research organization and shape a strategy focused organization, it is essential to understand the proper methodology of the whole construction process of BSC from the mission of the institute through the establishment of vision and strategic direction, KPI building, and a strategy map set, to the implementation of the BSC monitoring system. By investigating the application process, in this research we intend to provides useful implications in the BSC construction process of public research agencies.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.3
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• pp.318-340
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• 2006

In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.9-21
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• 2014

In this paper, we propose the auto correction technique of photography composition by which the eye line is concentrated and the stable image of the structure can be obtained in case the general user takes a picture. Because the general user photographs in most case without background knowledge about the composition of the photo, the subject location is not appropriate and the unstable composition is contrasted with the stable composition of pictures which the experts take. Therefore, we provide not the method processing the image after photographing, but he method presenting automatically the stable composition when the general users take a photograph. The proposed method analyze the subject through Saliency Map, Image Segmentation, Edge Detection, etc. and outputs the subject at the location where the stable composition can be comprised along with the guideline of the Rule of Thirds. The experimental result shows that the good composition was presented to the user automatically.

• Journal of the Korean School Mathematics Society
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• v.12 no.2
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• pp.243-260
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• 2009

Many students have difficulty studying mathematics because of its unique characteristics and the numbers of underachievers in mathematics are increasing, not decreasing, even though great teaching-learning methods have been provided. The purpose of this research is to examine if instruction using mind-map in mathematical studies has positive effects on achievement and attitudes of underachievers in mathematics. For this, mathematics learning ability test before instruction, survey of attitudes toward mathematics before and after instruction and mathematics learning ability test before and after instruction were performed for 32 underachievers in two classes of first grade in C high school in South Chung cheong Province. The positive effects of instruction using mind-map in mathematical studies on academic achievements and attitudes of underachievers were expected, but results indicate that there is no significant effect. However, results indicate that the use of mind-map in mathematics instruction has positive effects partially on the changes of learning attitudes. Therefore, the characteristics of underachievers in mathematics should be understood first, mind-map according to them should be applied and students should have time to properly perceive and draw mind-map skillfully. In teachers' professional knowledge of mind-map and consideration for students, when follow-up researches and systematic instruction proceed together for a long period time, the desired results can be realized.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1047-1048
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• 2017

본 논문은 위치 기반 DBpedia 모바일 브라우저 개발에 관한 내용으로 사용자의 현재 위치를 중심으로 Google Map과 DBpedia를 매쉬업하여 주변의 DBpedia 개체를 표시하고, 링크를 통해 추가적인 RDF 시맨틱 정보를 탐색할 수 있는 기능을 제공한다. DBpedia는 Wikipedia로부터 구조화된 데이터를 추출하여 RDF 형식으로 저장한 지식베이스로서 오늘날 엄청난 규모의 빅데이터로 발전되고 있는 링크드 오픈 데이터(Linked Open Data)에서 가장 핵심으로 부각되고 있다. DBpedia는 약 73만개의 장소 및 지역에 관한 정보를 포함하여 약 4백 58만 가지의 다양한 개체들에 관한 정보를 가지고 있으며 여러 종류의 위치기반 데이터 세트도 보유하고 있다. 본 연구에서 개발된 브라우저는 이러한 데이터 세트 내용을 스마트폰의 위치정보서비스를 활용하여 주변에 있는 장소나 건물 등을 지도에 표시하고, 해당 개체에 대한 간단한 요약 정보와 추가적인 시맨틱 정보 검색을 위한 링크를 제공한다.