• Annual Conference of KIPS
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• 2010.11a
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• pp.1811-1814
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• 2010

최근 컴퓨팅 패러다임의 빠른 변화와 함께 차세대 컴퓨팅 기술로 인식되고 있는 유비쿼터스 컴퓨팅 기술이 사회 각 부분에 적용되고 있다. 국내의 경우, 차세대 초고속 인프라 구축 정책으로 브로드밴드 인프라와 디지털 컨버전스 기술발전에 의한 디바이스, 서비스, 네트워크의 진화로 유 무선 통합 환경에서 다양한 서비스의 통합이 가속화되고 있다. 교육 환경, 특히 대학 캠퍼스에서도 PC, 모바일 등을 이용하여 언제, 어디서나 교육 및 연구를 위한 정보자원에 접근할 수 있는 유 무선통합 캠퍼스인 u-Campus 환경 구축이 활발하게 진행되고 있다. 이 논문에서는 이러한 u-Campus 환경에서 캠퍼스에 방문하는 방문자에게 안드로이드 기반 안내 시스템을 설계한다. 기존 u-Campus 시스템들은 구성원만을 고려한 서비스를 제공하는 반면, 제안 시스템은 방문자를 고려한 서비스 제공을 지원하며, 특히 방문자에게 다양한 상황 정보를 이용하여 목적지까지 안내 해 주는 기능을 제공한다.

• The Research Journal of the Costume Culture
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• v.2 no.1
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• pp.55-76
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• 1994

The purpose of this study was to analyze the classification and meaning of symbols, of the clothes of the college students by sex-roll theory and identity theory. The clothes analyzed in this study were collected by photographs which were taken in the campus (240 out of 1,000 pictures) of the several colleges and universities in Seoul form fall in 1993 to summer in 1994. The results were as follow : 1. Analysis as a symbol of sexuality. The phenomenon of the visual inconsistency and consistency of sexual image in dress were showed simultaneously. The clothes of male students were generally becoming feminine style in materials and colors of clothes. These suggested that sex-roll theory be applied to their clothes. 2. Analysis as symbols of identification or individuality. The identification of shoes, bags, accessories, and hair styles were prominent than that of clothes. When it was analyzed as a symbol of individuality, the college students seemed to act as fashion leaders, who accepted new fashions and tried them on first. These suggested that Erikson′s theory on identity be applied to their clothes. 3. Analysis as a symbol of emblem. The dissimilarities of between the college students and other groups in the same generation were bright and casual attire with files, books, and sack. 4. Analysis as a symbol of campus ceremony. The clothes of college students on campus ceremonies were more causal and flexible than those of other groups in the same generation. It was known that the symbols showed above were reflected on their clothes as "one′s expressions" which are sex-roll, identity, and characteristics of college students.

• Journal of the Optical Society of Korea
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• v.18 no.4
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• pp.317-329
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• 2014

In vision measurement systems based on structured light, the key point of detection precision is to determine accurately the central position of the projected laser line in the image. The purpose of this research is to extract laser line centers based on a decision function generated to distinguish the real centers from candidate points with a high recognition rate. First, preprocessing of an image adopting a difference image method is conducted to realize image segmentation of the laser line. Second, the feature points in an integral pixel level are selected as the initiating light line centers by the eigenvalues of the Hessian matrix. Third, according to the light intensity distribution of a laser line obeying a Gaussian distribution in transverse section and a constant distribution in longitudinal section, a normalized model of Hessian matrix eigenvalues for the candidate centers of the laser line is presented to balance reasonably the two eigenvalues that indicate the variation tendencies of the second-order partial derivatives of the Gaussian function and constant function, respectively. The proposed model integrates a Gaussian recognition function and a sinusoidal recognition function. The Gaussian recognition function estimates the characteristic that one eigenvalue approaches zero, and enhances the sensitivity of the decision function to that characteristic, which corresponds to the longitudinal direction of the laser line. The sinusoidal recognition function evaluates the feature that the other eigenvalue is negative with a large absolute value, making the decision function more sensitive to that feature, which is related to the transverse direction of the laser line. In the proposed model the decision function is weighted for higher values to the real centers synthetically, considering the properties in the longitudinal and transverse directions of the laser line. Moreover, this method provides a decision value from 0 to 1 for arbitrary candidate centers, which yields a normalized measure for different laser lines in different images. The normalized results of pixels close to 1 are determined to be the real centers by progressive scanning of the image columns. Finally, the zero point of a second-order Taylor expansion in the eigenvector's direction is employed to refine further the extraction results of the central points at the subpixel level. The experimental results show that the method based on this normalization model accurately extracts the coordinates of laser line centers and obtains a higher recognition rate in two group experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.432-441
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• 2017

The aim of this study was to investigate the relationship among family function, intimacy risk with the opposite sex, and campus life satisfaction among college students. A descriptive study was conducted. Data were collected from May 11, 2017 to May 20, 2017 by using a structured questionnaire. The participants were 180 college students at two colleges in J-city. Data were analyzed using t-test, one way ANOVA, Scheffe test, pearson correlation coefficient, and multiple regression analysis with SPSS 20.0. The mean scores were as follows: family function $3.07{\pm}0.44$(5 points), intimacy risk with the opposite sex $2.03{\pm}0.59$(4 points), and campus life satisfaction $3.20{\pm}0.50$(5 points). There was a significant correlation between the family function, intimacy risk with the opposite sex, and campus life satisfaction variables. Multiple regression analysis showed that factors influencing campus life satisfaction were family communication(${\beta}=0.341$, p=.001) and parental economic activity type(${\beta}=0.161$, p=.007). The explanation power of this regression model was 13.1%. These results of this study indicate that effective campus life satisfaction should be developed by including improvement of family community of family function.

• The Journal of Korean Society for School & Community Health Education
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• v.16 no.1
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• pp.1-14
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• 2015

Objectives: The purpose of this study was to examine the effects that the self-efficacy, self-elasticity, and major satisfaction of students majoring in dental hygiene would have on the adaptation to the campus life. Methods: The total 396 students were surveyed who majored in dental hygiene in universities located at Gyeongbuk and Gyeongnam from October 15, 2013 to October 30. The collected data were analyzed by using the SPSS 17.0 program, along with the One-Way ANOVA, correlation analysis, and multi-regression analysis. Results: The 'aptitude and interest' were found to be greatest factor among the motive for application among the factors of self-efficacy, self-elasticity, and major satisfaction of students, depending on general characteristics. The results of correlation analysis showed that the self-elasticity had a correlation of 0.741 and the adaptation to the study had a correlation of 0.420 in the self-efficacy, while the individual emotional adaptation, adaptation to university environment, and adaptation to the study had a correlation as high as over 0.4 in the self-elasticity(p<0.05). In addition, it was found that the adaptation to the campus life increased proportionally to the self-elasticity and major satisfaction(p<0.05). Conclusions: To increase the campus life adaptation of students majoring in dental hygiene, it is considered necessary to explore the measures that can improve the self-elasticity and overall major satisfaction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.6
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• pp.729-735
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• 2020

A college campus tour is a great opportunity to promote the school environment, facilities and history to visitors or prospective students. Along with the population of smart phones and the advancement of information and communication technologies, many universities have recently provided mobile applications for campus tour, and some are starting to utilize augmented reality technology. However, most of the existing campus tour augmented reality systems tended to present a description-oriented campus tour guide. Their main focus is simply to provide information about the campus's main buildings or symbols. This study focuses on self-guided tours of the campus through games making new students and visitors to get familiar with the campus in a more natural and intuitive way. In this paper we present the design and development of a location-based mobile augmented reality treasure hunt game to enhance the user experience.

• Journal of Plant Biotechnology
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• v.39 no.1
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• pp.62-68
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• 2012

The vegetable brassicas are an important crop worldwide and are of significant commercial value. In order to ensure our targets for food security are met it is important that these crops are continually improved to increase sustainability of production, increase nutritional quality and reduce waste. Development of resistances against both biotic and abiotic stress are recognised as being key. Plant breeding plays a vital role in addressing these issues through the development of new and improved varieties. This continued improvement is becoming evermore dependent on our ability to identify and introgress beneficial alleles from 'exotic' germplasm into elite breeding material. Increasingly, more diverse germplasm such as those found in genebanks is being screened for benificial allelic variation, however, plant breeders often find it difficult to make use of such material due to the time required to remove undesirable characteristics from progeny due to linkage drag. This article describes how we have attempted to overcome this and develop resources that make the diversity available within the $Brassica$ $oleracea$ genepool more accessible.

• Journal of the Korean Wood Science and Technology
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• v.45 no.6
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• pp.872-882
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• 2017

The objective of this study was to evaluate the properties of bamboo oriented strand board (B-OSB) from andong (Gigantochloa psedoarundinacea) and betung (Dendrocalamus asper) with and without steam treatment. Strands were steam-treated at $126^{\circ}C$ for 1 h under 0.14 MPa pressure. The extractive content of bamboo strands before and after steam treatment were determined according to a standard (TAPPI T 204 om-88). Three-layer B-OSB with the core layer perpendicular to the surface and back layers were formed and binded with 8% of phenol formaldehyde (PF) resin with the addition of 1% of wax. The evaluation of physical and mechanical properties of the boards were conducted in accordance with the JIS A 5908:2003 standard. The results showed that steam treatment of bamboo strands significantly reduced the extractive content. Steam treatment tended to increase the dimensional stability and mechanical properties of B-OSB from andong and betung. The results showed that the dimensional stability and bending strength of B-OSB from betung was higher than those of andong. The internal bond strength of B-OSB from andong was higher than betung owing to a greater amount of extractives dissolved during the steam treatment.

• Journal of Industrial Convergence
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• v.17 no.3
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• pp.39-49
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• 2019

This study, as a study on building platforms for smart campus ecosystem, took an approach that reflected the needs of various stakeholders of smart campus, and focused on functions to help them strengthen their competitiveness and advance into society by focusing on the learning of the most important university student users, college life, and social connection. First, we looked at the theories related to smart campus construction through prior research, and next, through domestic and international environmental analysis and trend analysis, we designed and presented a target model for e-portfolio focusing on core competency development and support system for Industry-Academic Cooperation, and proposed the main point for continuous smart campus development model.

• Journal of Plant Biotechnology
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• v.49 no.1
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• pp.2-2
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• 2022