• Journal of Digital Convergence
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• v.12 no.4
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• pp.213-226
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• 2014

Previous research on work and life balance mainly focused on workers' passive acceptance of interferences rather than active management of them. However, workers can also actively manage boundaries to enhance work and life balance. To find ways to enhance work and life balance, especially in the context of Smart Work, factors having effects on the work/nonwork interferences and their relationships should be firstly investigated. The results show that in a work domain, both boundary strength at work and job autonomy negatively influence on the nonwork to work interferences; in a nonwork domain, both boundary strength at nonwork and autonomy have negative effects on the work to nonwork interferences.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.191-198
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• 2013

The interests in alternative office systems and solutions (called smart work in Korea) are growing. With the lens of boundary theory, this paper tries to understand the nature of work/nonwork boundaries which smart work will be expected to blur. Boundary theory provides permeability, boundary strength, and interference as its key concepts and an empirical study is performed about the individual perception on those concepts. The result of the survey from telecommuters and/or smart work center users at the Company K shows that they perceive work/nonwork permeability, boundary strength, and interference are asymmetric. The result suggests that asymmetric nature of the work/nonwork boundaries should be taken into account when alternative office systems are brought into use.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.163-170
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• 2013

In general, images of outdoor scenes often contain degradation due to dust, water drop, haze, fog, smoke and so on, as a result they cause the contrast reduction and color fading. Haze removal is not easier problem due to the inherent ambiguity between the haze and the underlying scene. So, we propose a novel method to solve single scene dehazing problem using the region segmentation based on graph algorithm that has used a gradient value as a cost function. We segment the scene into different regions according to depth-related information and then estimate the global atmospheric light. The medium transmission can be directly estimated by the threshold function of graph-based segmentation algorithm. After estimating the medium transmission, we can restore the haze-free scene. We evaluated the degree of the visibility restoration between the proposed method and the existing methods by calculating the gradient of the edge between the restored scene and the original scene. Results on a variety of outdoor haze scene demonstrated the powerful haze removal and enhanced image quality of the proposed method.

• The Journal of the Acoustical Society of Korea
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• v.20 no.6
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• pp.82-86
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• 2001

In this Paper, we Propose synthetic aperture technique for twin-line may. Sin91e-line way is required long aperture size in order to achieve high SNR and angular resolution in shallow water Ultra low frequency signal from far-field has left-right ambiguity at sing1e-line array. To resolve these Problems, we'd like to adopt the synthetic aperture technique to twin-line array. The synthetic aperture method adopts coherent processing of sub-aperture signals at successive tine intervals in the beam domain. The proposed method shows low nile error and improved angular resolution. In simulation result, average sidelobe level is reduced about 7〔dB〕when the array Peformed 5-synthesis.

• Journal of the Korean Institute of Intelligent Systems
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• v.5 no.3
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• pp.117-127
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• 1995

In this paper, we suggest a motion analysis method using ART-I1 competitive learning neural network and fuzzy reasoning by matching the same objects through the consecutive image sequence. we use the size and mean intensity of the region obtained from image segmentation for the region matching by the region and use a ART-I1 competitive learning neural network wh~ch has a learning ability to reflect the topology of the input patterns in order to select characteristic points to describe the shape of a region. Motion vectors for each regions are obtained by matching selected characteristic points. However, the two dimensional image, the projection of the the three dimensional real world, produces fuzziness in motion analysis due to its incompleteness by nature and the error from image segmentation used for extracting information about objects. Therefore, the belief degrees for each regions are calculated using fuzzy reasoning to l-nanipulate uncertainty in motion estimation.

• Korean Institute of Interior Design Journal
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• v.15 no.4 s.57
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• pp.29-36
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• 2006

Fashion and interior architecture are two areas of design that may share common issues, trends and philosophies, making fashion design human's second skin and interior architecture the third. The concept of 'skin' has become one of the most interesting phenomena in design during the past decade and not surprisingly similar issues can be seen also in fashion and architectural design. The current trend in fashion design is that the skin (clothing) has become detached from the human body and extended into the environment, resulting fashion as art objects. Skin in architecture and interior design has also become detached from the structure so designers have more freedom to experiment by using advanced technologies. The present study attempts to analyze common features of 'skin phenomenon' in fashion and interior architecture that are; detachment, emphasis on space, extension, territorial blending, and digital applications. The researcher has used constant comparative method to categorize the five features among many examples. The limitation of this study is that it is focused on the formative phenomena of projects excluding the philosophies and personal background of each designer. However, it is hoped that the study may assist designers and other researchers to understand relationships between fashion and interior design, hold broader spectrum in art and design.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.271-274
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• 2001

미국의 National Library of Medicine에서 제공하는 Visible human 컬러영상을 이용하여, 신체 장기의 3차원 모델링 및 가시화 하기 위한 영역 분할 방법 연구가 활발히 진행되고 있다. 특히 다른 신체 장기 분할에 비해 뼈분할은 주위의 영역들과 모호한 경계를 지니고 있어 컬러영상만을 가지고 구분해 내기가 쉽지 않다. 이러한 문제점을 해결하기 위해 본 논문에서는 Visible human CT영상을 가지고 뼈 영역을 분할하고 분할 된 뼈 영역의 경계를 추출하여 그 경계를 컬러영상의 최적화된 위치로 변환해 최종적인 뼈 영역 분할을 시도한다. 제안된 방법은 Visible human 단면영상의 머리부분에 적용하여 좋은 결과를 얻음을 실험을 통해 효율성을 검증하였다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.9
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• pp.2876-2884
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• 2000

Clausal segmentation is the method that parses Korean sentences by segmenting one long sentence into several phrases according to the predicates. So far most of researches could be useful for literary sentences, but long sentences increase complexities of the syntax analysis. Thus this paper proposed Two-Level Clausal Segmentation using sense information which was designed and implemented to solve this problem. Analysis of clausal segmentation and understanding of word senses can reduce syntactic and semantic ambiguity. Clausal segmentation using Sense Information is necessary because there are structural ambiguity of sentences and a frequent abbreviation of auxiliary word in common sentences. Two-Level Clausal Segmentation System(TLCSS) consists of Complement Selection Process(CSP) and Noncomplement Expansion Process(NEP). CSP matches sentence elements to subcategorization dictionary and noun thesaurus. As a result of this step, we can find the complement and subcategorization pattern. Secondly, NEP is the method that uses syntactic property and the others methods for noncomplement increase of growth. As a result of this step, we acquire segmented sentences. We present a technique to estimate the precision of Two-Level Clausal Segmentation System, and shows a result of Clausal Segmentation with 25,000 manually sense tagged corpus constructed by ETRl-KONAN group. An Two-Level Clausal Segmentation System shows clausal segmentation precision of 91.8%.

• Journal of Korean Home Economics Education Association
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• v.25 no.3
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• pp.105-121
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• 2013

This study aimed to investigate the validity and appropriate way of career education according to the integration of home economics subjects, as a way of revitalization of career education in technology and home economics subjects, after the implementation of free semester system. For this goal, the meaning and trend of free semester system, trend of subject-integrated career education, analysis of curriculum in technology home economics education subject, and trend of research about career education in home economics were investigated. The result was as in the following. First, in spite of the ambiguity of the meaning of free semester, the career education will be expanded as the importance of lifelong career education was more and more required. Second, the career paths separated from subjects had problem in its effectiveness, therefore, subject-integrated career education emphasizing on school subjects will become more crucial. Third, it was presented that extracting core achievement standard in subject-integrated career education in technology home economics education according to core achievement standard was critical. For these reasons, the objective and model of career education in home economics education under free semester system were illustrated.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.43-66
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• 2008

Currently be proceeded a lot of researchers for 'user information demand description' for interface of an information retrieval system or Web search engines, but user information demand description for a natural language form is a difficult situation. These reasons are as they cannot provide the semantic similarity that an information retrieval model can be completely satisfied with variety regarding an information demand expression and semantic relevance for user information description. Therefore, this study using the description logic that is a knowledge representation base of OWL and a vector model-based weight between concept, and to be able to satisfy variety regarding an information demand expression and semantic relevance proposes a decision way for perfect assistances of user information demand description. The experiment results by proposed method, semantic similarity of a polyseme and a synonym showed with excellent performance in decision.