• Proceedings of the ESK Conference
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• 1997.04a
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• pp.304-310
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• 1997

연세대학교 영동세브란스 병원에서 94년 요통환자 2천4백10명을 직업별로 분류한 결과, 주부가 56%, 학생이 13.4%를 차지했다고 발표했다. 특히 주부환자비율은 85-90년에 38.9%로 조사된 것에 비하면 주목할만한 증가세를 보였다. 이러한 주부요통증가의 원인 중 임상적으로 이미 확인된 것이 하이힐에 의한 것이다. 하이힐을 신을 경우 허리에 부담을 주고 요통을 유발할 수 있다는 것이다. 그러나, 이러한 임상적 가설에 대한 구체적인 연구나 검증이 이루어진 바 없어 하이힐이 허리에 어떤 영향을 주는지에 대해 확인할 수 없었다. 따라서, 본 연구에서는 하이힐이 허리에 미치는 영향에 대한 임상적 가설을 검증하고 영향 정도에 대한 구체적 수치를 제시하고자 한다. 이를 위해 5명의 신체 건강한 20대 초반의 여성들이 모집되었고, 하이힐의 굽높이를 독립변수로, 허리 근육 피로도를 종속 변수로 설정하여 하이힐의 굽높이가 허리 근육에 미치는 영향에 대해 조사하였다. 허리 근육 피로도는 Spectral EMG를 통해 분석하였고 정량화되었다. 측정된 자료를 통계 분석한 결과, 하이힐의 굽높이가 여성의 허리 근육에 유의하게 영향을 미침이 발견되었고, 우리 나라 여성에게 적합한 하이힐의 굽높이는 3-5cm 정도임이 밝혀졌다. 본 연구 결과는 하이힐의 디자인에 있어서 굽높이에 대한 추천치로 제안될 수 있으며 여성들의 하이힐로 인한 요통을 어느 정도 예방할 수 있어 여성 근로 손실을 줄이는 데 기여할 수 있다. 본 연구를 하이힐 굽형태나 충격흡수 등의 독립변수 요인을 추가하여 확대하면 하이힐 디자인에 응용하는데 더욱 유용하리라 생각된다. 없었다. 전신쾌적감은 약간 쾌적하게 나타났고 전신온냉감은 약간 따뜻하다라고 나타났으며 손가락끝의 동통감은 약간 아프다고쪽으로 나타났다.때문에 이를 디자인에 곧바로 적용시키기 어려운 점이 있다. 이에 본 연구는 기존의 바용성 평가를 위한 분석도구들이 갖는 문제 점들 해결하여 제품의 사용자 인터페이스 디자인 개발과정에서 활용할 수 있는 평가 분석도구를 개발하는 것을 목표로 한다. 이를 위해 첫째, 다양한 유형의 정보를 포함하는 비디오 정보를 선정하였따. 둘째, 데이터를 다양한 측면에서 추출할 수 있는 Data logger를 개발하였다. 셋째, 데이터를 시각적으로 정리하고 분석할 수 있는 도구를 제안한다. 마지막으로 인터페이스 디자인에서 여러 가지 디자인안을 도출해 내는 작업에 이용할 수 있는 종합화과정을 개발한다. 이러한 일련의 과정이 통합된 컴퓨터 시스템 안에서 이루어지도록 프로그램을 개발하여 정보의 유용성을 높일 수 있도록 한다.at the entropy index as a measurement of inter-business relatedness is not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtai

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.5 s.311
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• pp.52-61
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• 2006

Orthogonal wavelet tansform which is generally used in image and signal processing applications has limited performance because of lack of shift invariance and low directional selectivity. To overcome these demerits complex wavelet transform has been proposed. In this paper, we present an efficient image denoising method using dual-tree complex wavelet transform and Bernoulli-Gauss prior model. In estimating hyper-parameters for Bernoulli-Gaussian model, we present two simple and non-iterative methods. We use hypothesis-testing technique in order to estimate the mixing parameter, Bernoulli random variable. Based on the estimated mixing parameter, variance for clean signal is obtained by using maximum generalized marginal likelihood (MGML) estimator. We simulate our denoising method using dual-tree complex wavelet and compare our algorithm to well blown denoising schemes. Experimental results show that the proposed method can generate good denoising results for high frequency image with low computational cost.

• Journal of The Korean Association For Science Education
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• v.22 no.4
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• pp.740-749
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• 2002

The purpose of this study was to survey junior high school teachers' and students' perceptions on the science textbooks. Subjects of this study were 113 science teachers and 715 students from junior high schools in Daegu and Kyungpook area. As statistical method, one-way ANOVA and t-test were used to check differences of the perceptions between teachers and students. Teachers had different perceptions by school location and class size, while students had different perceptions by school location, co-ed, class size, and grade level. Both teachers and students having the relativistic viewpoint on textbook knowledge regarded the knowledge as relativistic one, and preferred the student-centered textbooks. Teachers liked textbooks written by the student-centered view more than students did. Teachers had the more absolutistic viewpoint on textbook knowledge and on teaching, while students liked the electronic textbooks more than teachers did.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.150-159
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• 2015

This study attempted to test the scale effect of MAUP, particularly focusing on the spatial autocorrelation of sex crime, correlations among neighborhood structural variables, and causal mechanism leading to sex crime. Analysis results of nation-wide Eup-Myon-Dong and Si-Gun-Gu data discovered that the spatial autocorrelation, correlations among independent variables, and determinant coefficient of multiple regression of Si-Gun-Gu level were generally bigger and stronger than those of Eup-Myon-Dong, which appeared to be due to the averaging effect. Regarding the causal effect to sex crime, two interesting results were found: First, the ratio of non-apartment residency lowered sex crime at both levels contrary to the hypothesis. Second, the ratio of food and lodging increased sex crime only at Eup-Myon-Dong level. These suggested that future research need to perform more detailed analyses dividing data into subsets such as urban vs. rural and/or economically advantaged vs. disadvantaged areas.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.43-53
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• 2023

In China, enterprises are increasingly shifting the focus of their reforms toward stimulating the development of organizational effectiveness under the guidance of the long-term planning system. Innovative ideas and constructive suggestions originating internally are likely to inject new vitality into their ongoing development, allowing them to better face new global opportunities and challenges. Therefore, this study verifies the impact of voice endorsement and outcomes for the workers in china and selected perceived organizational support as a mediator variable. Based on theoretical research, this study proposes and tests 6 key research hypotheses using structural equation modeling(SEM). Data were collected from employees in China by the survey method. The analysis results reveal that perceived organizational support plays a mediating role in the relationship between voice endorsement and the outcomes of job satisfaction, job commitment, and job performance except for job stress.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.241-241
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• 2023

최근 수십 년 동안 전 세계의 거의 모든 하천 유역은 기후변화와 인간 활동에 의해 직간접적으로 영향을 받았다. 특히, 유역 유출량은 기후변화와 인간 활동의 상호작용으로 수자원 분야에서 문제가 되고 있다. 기후와 인간 활동에 의해 변화하는 환경에서 수자원을 효율적으로 관리하기 위해서 유출량의 변화를 이해하는 것은 매우 중요하다. 따라서, 본 연구에서는 낙동강 유역의 22개 중권역을 대상으로 과거 관측자료 및 미래 기후변화 시나리오의 유출량, 강수량, 기온, 잠재 증발산량 및 실제 증발산량 자료를 이용하여 기후변화와 인간 활동이 유출량에 미치는 영향을 정량적으로 분석하였다. 과거 관측자료를 분석할 경우, 기초자료인 유출량의 경향성 및 유의성을 검증하기 위해 비모수적 방법인 Mann-Kendall 검증을 수행하였으며, Pettitt method를 이용하여 변화 지점을 결정하여 기준기간과 사후기간으로 구분하였다. 또한 Budyko 가설 기반 기후 탄력성 접근법을 이용하여 기후변화와 인간 활동이 하천 유출량에 미치는 영향을 정량적으로 분리하였다. 미래 RCP 시나리오 자료를 분석할 경우에도 기간을 나누고 기후 탄력성 접근법을 이용하여 유출량의 영향을 평가하였다. 분석 결과, 기후변화와 인간 활동의 상대적 기여도는 중권역 간에도 다양하다는 것을 확인할 수 있었다. 미래의 유출량을 분석한 결과, 대부분의 유역에서 기후변화의 기여도는 RCP 4.5일 때에 비해 RCP 8.5에서 더 크게 상승한 것으로 나타났다. 과거 기간(1966~2020)에 대하여 미래 기간 (2062~2099)에 대한 분석에서 중권역 중 금호강(#2012)은 RCP 4.5에서는 22.4%, RCP 8.5에서는 39.8%로 RCP 8.5가 큰 것으로 나타났다.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.345-353
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• 2010

A general solution in global self-position location of robot is to generate multiple hypothesis in self-position of robot, which is to look for the most positive self-position by evaluating each hypothesis based on features of observed landmark. Markov Localization(ML) or Monte Carlo Localization(MCL) to be the existing typical method is to evaluate all pairs of landmark features and generated hypotheses, it can be said to be an optimal method in sufficiently calculating resources. But calculating quantities was proportional to the number of pairs to evaluate in general, so calculating quantities was piled up in wide environments in the presence of multiple pairs if using these methods. First of all, the positive and promising pairs is located and evaluated to solve this problem in this paper, and the newly locating method to make effective use of calculating time is proposed. As the basic method, it is used both RANSAC(RANdom SAmple Consensus) algorithm and preemption scheme to be efficiency method of RANSAC algorithm. The calculating quantity on each observation of robot can be suppressed below a certain values in the proposed method, and the high location performance can be determined by an experimental on verification.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.412-421
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• 2000

In spite that the main contents of mathematical and scientific learning are understanding principles and their applications, most of existing educational softwares are based on rote learning, thus resulting in limited educational effects. In the artificial intelligence research, some progress has been made in developing automatic tutors based on proving and simulation, by adapting the techniques of knowledge representation, search and inference to the design of tutors. However, these tutors still fall short of being practical and the turor, even a prototype model, for learning problem solving is yet to come out. The geometry problem-solving tutor proposed by this research involves dynamic inference performed in parallel with learning. As an ontology for composing the problem space within a real-time setting, we have employed the notions of propositions, hypotheses and operators. Then we investigated the mechanism of interactive learning of problem solving in which the main target of inference involves the generation and the test of these components. Major accomplishment from this research is a practical model of a problem tutor embedded with a series of inference techniques for algebraic manipulation, which is indispensable in geometry problem solving but overlooked by previous research. The proposed model is expected to be applicable to the design of problem tutors in other scientific areas such as physics and electric circuitry.

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.379-392
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• 2018

The purpose of this study is to examine the effects of caregiving burden on the caregiver's interpersonal problem. In addition, mediating effect of family support was examined. In order to accomplish these purposes, a total of 341 sons and daughters in law who are caregivers of dementia elderly using self-report questionnaires. The analysis result of dementia elderly caregiver's symptoms showed that prevalence of caregiving burden were 50.9% and interpersonal problem were 43.6%. As a result, it was confirmed that the caregiving burden had a statistically significant effect on interpersonal problem. Also, Family support was found to moderate the relationship between caregiving burden and interpersonal problem(p< .05). Based on this result, I suggested the various policies and the necessity of social welfare intervention for caregivers of dementia elderly.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.233-240
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• 2015

About 500 Bizcool High School will be designated by the year of 2017. The policy of designating Bizcool will promote startup club activity among Bizcool high school Student. In particular, the startup club activities will help Bizcool high school student fixing their career path after graduation by enhancing their creativity, leadership, team spirit, and problem solving ability through understanding the concept of entrepreneurship and embodying the startup process taking real startup experience. Hence, this paper set and test hypothesis of assuming the differences with respect to entrepreneurship will and maturing career path whether they have startup club activity as presenting Bizcool high school or not. The empirical test have bee done over 274 Bizcool high school students. The result have shown that significant level of differences(Determinants and Confidence) are found between the group of having startup club activity and those of not having.