• Journal of Agricultural Extension & Community Development
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• v.16 no.1
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• pp.201-235
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• 2009

This study analyzed the demographic characteristics, strengths and weaknesses related to information acquisition of local innovation diffusion types. This study use ordered probit model to find strengths and weaknesses of innovation diffusion type in rural area. The individual characteristics of 'formal extension type', 'situational reaction diffusion type', 'agriculturist connection type', and 'systematic approach type', all differentiated according to innovation diffusion type, were analyzed. Following Choi & Choe(2008), immediacy, accessibility, referability, applicability, and satisfaction were the highest in the situational reaction diffusion type, systematic approach type, formal extension type, and farmers connection type, in the order. And there existed organic contexts among individual characteristics. So this study tried to analyze strengths and weaknesses of innovation diffusion type with a focus on immediacy, which emerged as the most important variable in the process of interpreting innovation diffusion. And the strengths and weaknesses of each innovation diffusion type were presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1223-1233
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• 2011

The purpose of this study was to investigate the differences in university student's career maturity according to general characteristics(for example, gender, grade, and SES) and undergraduate student's career decision-making styles. A scale measuring the career decision-making styles(Harren, 1984) and career maturity(Crites, 1978) was administered to 223 university students around the capital city. The data were analyzed using Cronbach's ${\alpha}$ tests, means, standard deviations, One-way MANOVAs, and Multiple Discriminant Analyses. The results of this study were as follows: 1. There was not significant difference by gender in career maturity. But there were significant differences by grade and SES in career maturity. Freshmen and Senior exhibited higher career decision-making attitude than sophomores and juniors. High-SES group showed higher career decision-making attitude and lower career independence. 2. There were significant differences by career decision-making styles in career maturity. 51.1% of our samples were rational decision-making styles, 30.0% of our samples were intuitive decision-making styles, and 18.8% of our samples were dependent decision-making styles. Undergraduate students with rational decision-making styles showed more positive career choice behavior and higher career independence than undergraduate students dependent decision-making styles.

• Korean Journal of Childcare and Education
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• v.11 no.1
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• pp.305-327
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• 2015

The purpose of this study was to investigate the tendencies and general distributive features of creativity elements on activities in the Nuri curriculum teachers' guidebooks for the ages of 3-5. This was done by analysis of 1,883 activities related to creativity in the teachers' guidebooks. In order to analyze the data, the frequency and percentage of creativity elements were calculated. The results can be summarized as follows: First, the ratio of activities related to creativity was 95.1% for the age of three, 93.1% for the age of four, and 78.6% for the age of five. Second, the most common creativity element was cognitive element and the next was motivational element, and the least was dispositional element. Third, regarding themes, the frequency of creativity elements was highest in 'tools for living', and lowest in 'countries of the world'. Fourth, the creativity elements were more frequently found in group activities rather than free choice activities. Last, the frequency of creativity elements was highest in nature exploration, and was followed by social relations. The results of this study could be used as basic data for practicing activities related to creativity in the field of early childhood education.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.3
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• pp.49-56
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• 2011

Because urban areas change rapidly, it is necessary to reflect urban changes in a digital map database in a timely manner. To address these issues, LiDAR data was used to detect changes in urban area buildings. The purpose of this study is to detect object-based building change using LiDAR data and existing digital maps, and classify change types. In the study, we classified change type using overlay and shape comparison with building layer of the digital maps and point-based extracted building outline from the LiDAR data. When applying the overlay method, we were able to increase the accuracy and objectivity of the change detection process throughout an adaptive threshold applied to each object. In the experiments, it was demonstrated that classifying and detecting changes in urban areas using the proposed method can provide superior classification accuracy compared with the existing methodology.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.176-184
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• 2020

This study identified personality types of 433 college students of Busan, Ulsan and some regions of Gyeongsangnam-do and inquired into influences of personality types on their satisfaction with clinical practice. According to the results, students with extroverted and low-neurotic tendencies showed significant results in the subordinate factors of satisfaction with clinical practice. As for factors influencing the extraversion factors personality type, it turned out to have a significant level in satisfied with teach (p<0.001), satisfied with facility and satisfied with clinical practice (p<0.05). On the other hand, as for factors influencing the personality type of neurotic tendencies, it turned out to have a significant level in satisfied with practice content (p<0.05), satisfied with teach (p<0.001), satisfied with interpersonal (p<0.05) and satisfied with clinical practice (p<0.05). Therefore, it will be indispensable to conduct a personality type test during the period of university days, to increase satisfaction with clinical practice of students majoring in Dental hygienics. Moreover, based on the test results, it will be required to develop a variety of programs to strengthen a customized counseling program and improve interpersonal skills.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3302-3307
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• 2009

The objective of the present study lies in providing the method to construct the precision population-statistical map for statistical demographics making full advantage of GIS and the national census data in an attempt to improve accuracy and reliability of population estimation applicable for a variety of location analysis. More specifically, it adopts the multiple regression analysis by segmented land use type(biotope) taking into account that the land use diversified as residence, commercial and office areas has the close connectivity and interdependence with population. Based on the analyzed result above, the study finalizes the modeling to construct demographic map with higher precision by prioritizing the population density by weight value and then re-distributing the population according to jurisdictional dong's and types of use for the land. The study consequently is expected to be conducive to improving precision and reliability rather than the existing method for population estimation widely acceptable thus far.

• Journal of Korean Library and Information Science Society
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• v.42 no.2
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• pp.237-255
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• 2011

This study is to find new methods in describing material type as content type and carrier type for the improvement of OPAC retrieval and the embodiment of work and expression of FRBR. It is hard to describe type vocabulary in cataloging because division of content and carrier taxonomy in KCR4 and KORMARC is not distinct. This study is to review the characteristics of material type list in RDA and ISBD(2010), and to examine the various type vocabulary and description methods of videorecording, soundrecording, and cartographic by retrieving KERIS DB. As a result, there is no consistency in applying type vocabulary between KCR4 and KORMARC. Also, libraries use the mix of content and carrier or detailed carrier vocabulary for local use. Therefore, it is need to define the function of GMD as content type, to expand and correct content and carrier vocabulary, and to express both content and carrier type in citation and detailed display. This study will contribute to embody the expression of FRBR.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.472-472
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• 2017

재해로 인한 피해가 급증함에 따라 이를 예방하기 위한 풍수해 피해예측의 필요성이 증가하였고 관련된 다양한 연구가 진행되고 있다. 타 부처 및 각 지자체에서는 각종 재해지도들을 작성하여 만들어진 재해지도는 작성 유형과 방법 등에 따라 다양한 데이터와 서로 다른 정보를 포함하고 있어 데이터 정보를 표준화 시키고 필요한 정보를 효율적으로 찾아 연계 활용하기 위하여 본 연구를 수행하고자 한다. 메타데이터란 데이터에 대한 정보를 의미하며 데이터 변화의 근원과 변화의 흐름을 말한다. 메타데이터 관련 표준으로는 ISO19115(국제표준), KSXISO19115(국가표준), TTAS.KO-10.0139(유통목록 표준), TTAS.IS-19115(관리용 표준)이 있다. 본 연구에서는 국제표준을 준용하여 풍수해 피해 예측지도의 체계적 관리를 위한 메타데이터 설계 및 관리 시스템 구축 방안을 제시하고자 하였다. 풍수해 피해예측지도 메타데이터 관리 시범 시스템 구축을 위한 표준, 정보의 특성, 사용자 수준 등을 고려하여 설계 기본방향 설정하였으며, 풍수해 피해예측지도 정보 메타데이터 표준안 수립에 반영하였다. 그 결과, 메타데이터 패키지는 총 9개의 섹션(클래스)으로 구성하여 정의하였고 하위개체를 설정 및 연계하여 메타데이터 개체셋 정보를 구성하였다. 풍수해 피해예측지도 메타데이터 관리 시범 시스템 설계 제시를 위해 DB항목 조사 및 도출, 데이터 연계 활용 모델 구축, 프로토타입 개발순으로 연구를 수행하였다. 또한 표출 대상 데이터 항목별 분류, 방재활용 단계, 지역구분 등을 주제로 데이터 Mapping 자료를 작성하였고, 설계 기본 방향에 의하여 설정된 기준으로 데이터 항목별 메타데이터 DB를 작성하여 풍수해 피해예측지도 메타데이터 관리 시범 시스템을 설계하였다. 본 연구 결과는 추후 풍수해 피해예측지도 표준 데이터 및 풍수해 피해예측지도 표준 데이터 모델 구축에 활용 가능하며 표준화 연계활용을 위한 연구에 기여할 것으로 판단된다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.6
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• pp.65-72
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• 2009

This paper presents a vision based localization method for indoor mobile robots using the types of vertices from a monocular image. In the images captured from a camera of a robot, the types of vertices are determined by searching vertical edges and their branch edges with a geometric constraints. For obtaining correspondence between the comers of a 2-D map and the vertex of images, the type of vertices and geometrical constraints induced from a geometric analysis. The vertices are matched with the comers by a heuristic method using the type and position of the vertices and the comers. With the matched pairs, nonlinear equations derived from the perspective and rigid transformations are produced. The pose of the robot is computed by solving the equations using a least-squares optimization technique. Experimental results show that the proposed localization method is effective and applicable to the localization of indoor environments.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.111-131
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• 2015

There are only a handful number of research conducted on pattern analysis of corporate distress as compared with research for bankruptcy prediction. The few that exists mainly focus on audited firms because financial data collection is easier for these firms. But in reality, corporate financial distress is a far more common and critical phenomenon for non-audited firms which are mainly comprised of small and medium sized firms. The purpose of this paper is to classify non-audited firms under distress according to their financial ratio using data mining; Self-Organizing Map (SOM). SOM is a type of artificial neural network that is trained using unsupervised learning to produce a lower dimensional discretized representation of the input space of the training samples, called a map. SOM is different from other artificial neural networks as it applies competitive learning as opposed to error-correction learning such as backpropagation with gradient descent, and in the sense that it uses a neighborhood function to preserve the topological properties of the input space. It is one of the popular and successful clustering algorithm. In this study, we classify types of financial distress firms, specially, non-audited firms. In the empirical test, we collect 10 financial ratios of 100 non-audited firms under distress in 2004 for the previous two years (2002 and 2003). Using these financial ratios and the SOM algorithm, five distinct patterns were distinguished. In pattern 1, financial distress was very serious in almost all financial ratios. 12% of the firms are included in these patterns. In pattern 2, financial distress was weak in almost financial ratios. 14% of the firms are included in pattern 2. In pattern 3, growth ratio was the worst among all patterns. It is speculated that the firms of this pattern may be under distress due to severe competition in their industries. Approximately 30% of the firms fell into this group. In pattern 4, the growth ratio was higher than any other pattern but the cash ratio and profitability ratio were not at the level of the growth ratio. It is concluded that the firms of this pattern were under distress in pursuit of expanding their business. About 25% of the firms were in this pattern. Last, pattern 5 encompassed very solvent firms. Perhaps firms of this pattern were distressed due to a bad short-term strategic decision or due to problems with the enterpriser of the firms. Approximately 18% of the firms were under this pattern. This study has the academic and empirical contribution. In the perspectives of the academic contribution, non-audited companies that tend to be easily bankrupt and have the unstructured or easily manipulated financial data are classified by the data mining technology (Self-Organizing Map) rather than big sized audited firms that have the well prepared and reliable financial data. In the perspectives of the empirical one, even though the financial data of the non-audited firms are conducted to analyze, it is useful for find out the first order symptom of financial distress, which makes us to forecast the prediction of bankruptcy of the firms and to manage the early warning and alert signal. These are the academic and empirical contribution of this study. The limitation of this research is to analyze only 100 corporates due to the difficulty of collecting the financial data of the non-audited firms, which make us to be hard to proceed to the analysis by the category or size difference. Also, non-financial qualitative data is crucial for the analysis of bankruptcy. Thus, the non-financial qualitative factor is taken into account for the next study. This study sheds some light on the non-audited small and medium sized firms' distress prediction in the future.