• 감성과학
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• 제12권4호
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• pp.451-460
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• 2009

본 연구는 공공시설물인 버스정류장의 특성을 조사하기 위해 이용자 행동유형(행동조사+선호도)과 관련된 연구를 진행하였다. 세부적인 분석에서는 버스정류장 속성분석과 특성을 조사하기 위해 각 지역자치단체에 설치된 50개의 샘플을 대상으로 수량화 3류(Quantification theory type 3) 분석을 실시하였다. 실험결과 버스정류장은 유동인구가 많음/적음, 기능적인, 단순함의 4개 축과 회사 밀집형 대도시, 지역성이 강한 지방도시, 유동인구가 많은 학교 앞, 한적한 시골마을, 박물관 같은 특정장소, 유동인구가 많은 농촌지역의 특성에 따라 버스정류장의 유형에 차이가 있는 것으로 조사되었다. 위와 같이 본 연구에서는 지역적 특성에 맞도록 시설물 자체의 조형성 이외에도 지역 환경, 이용자 특성 등이 고려된 디자인이 진행될 수 있도록 버스정류장 속성을 종합하여 세부항목을 제시하였다. 또한, 위의 내용을 바탕으로 지역 환경적 특성에 맞는 디자인과 모델이 적용된다면 앞으로 공공시설물로서 이용자에게 보다 긍정적인 평가를 받을 수 있는 공공디자인이 진행될 것이다.

• Journal of the Korean Data and Information Science Society
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• 제24권4호
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• pp.701-712
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• 2013

이러닝 (e-learning)산업통계는 이러닝산업 전반에 걸친 수요와 공급을 망라한 실태조사통계로 2004년 이후 정보통신산업진흥원에 의해 매년 발표되고 있다. 한국표준산업분류가 2008년 개정 (제9차)됨에 따라, 이러닝 수요부문의 사업체조사에 사용해온 표본설계 (종사자규모 산업분류별 층화추출)에 대한 개선이 필요하게 되었다. 본 논문은 사업체조사의 목표모집단을 개정된 한국표준산업분류에 따라 종사자규모 산업분류별로 층화하고, 각 층에 부여된 목표변동계수값을 만족시키는 멱배분법의 승수를 모의실험으로 찾아서 층화별로 표본의 크기를 결정하였다. 이와 더불어 본 연구에서 고려한 표본가중치 계산, 그리고 가중치를 반영한 모수추정량과 추정오차는 기존의 조사에서 사용된 기술 통계적 분석을 벗어나 업종별과 종사자 규모별 추정과 추정의 정도에 대한 평가를 가능하게 하였다.

• 전자공학회논문지S
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• 제35S권4호
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• pp.67-75
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• 1998

In general, Evoluationary Algorithm(EAs) are refered to as methods of population-based optimization. And EAs are considered as very efficient methods of optimal sytem design because they can provice much opportunity for obtaining the global optimal solution. This paper presents a co-evolution scheme of artifical neural networks, which has two different, still cooperatively working, populations, called as a host popuation and a parasite population, respectively. Using the conventional generatic algorithm the host population is evolved in the given environment, and the parastie population composed of schemata is evolved to find useful schema for the host population. the structure of artificial neural network is a diagonal recurrent neural netork which has self-feedback loops only in its hidden nodes. To find optimal neural networks we should take into account the structure of the neural network as well as the adaptive parameters, weight of neurons. So we use the genetic algorithm that searches the structure of the neural network by the co-evolution mechanism, and for the weights learning we adopted the evolutionary stategies. As a results of co-evolution we will find the optimal structure of the neural network in a short time with a small population. The validity and effectiveness of the proposed method are inspected by applying it to the stabilization and position control of the invered-pendulum system. And we will show that the result of co-evolution is better than that of the conventioal genetic algorithm.

• 한국농촌건축학회논문집
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• 제21권1호
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• pp.9-16
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• 2019

The decrease in population of school age is one of major influencing factor of transformative educational environment. After the nineteen eighties, the population of South Korea has increased step by step, but the population of school age has been decreasing rapidly by low birth rate. As a result, closed school by merger and abolition of small school occurred all over the country. The closed school needed effective function as center of local community. Consequently the purpose of this study is to provide basic data for effective policy making of closed school by comparative analysis of educational environment such as number of students, schools, students per class, status of usage of closed school of the east area and the west area divided by The Tae Baek Mountains in the Gangwon-do, which has the least students in the nationwide. The results of this study are summarized as follows: 1) Gangwon-do has high decreasing rate of population, schools and students compared with other provinces. However it has significantly low number of students per class. 2) The number of students, schools of the west area in Gangwon-do outnumbers that of the east area. However the number of students per class of the east area in Gangwon-do lesser than that of the west area.

• 한국실내디자인학회논문집
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• 제23권4호
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• pp.248-256
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• 2014

According to data from the national office of Statistics Korea and Ministry of Health and Welfare, as the elderly population increases, the dementia elderly population continues to increase and its future population growth rate is expected to be even faster. In particular, the Dementia Management Act has been in effect since February 2012, and active efforts has been made for a policy for the dementia management. The purpose of this study is to establish standards on building plans based on the appropriate scale and spatial configuration on facilities planning for the elderly with dementia. Specifically, the basic data were collected with a request for a total of 103 points on the basis of a database of group homes in the survey managed by the Japan Association of Group Homes. Specific information of the research includes the management body of facilities operation, scale of the facilities, number of units and configuration of personal living space, and the collected survey data and drawings were statistically proceed and analyzed using the SPSS WIN 20.0. analysis results are summarized as follows. first, most of the group homes come to the small size of the 1-2 story home ; the approximate number of units is one or two per home, and each unit consists of nine rooms. second, a number of group homes with the building area of $300m^2$ have the U-shaped arrangement which is advantageous in the extension and facilities maintenance. In conclusion, this study is to be the fundamental data for judgments that can be used to establish standards for the facilities for the dementia elderly whose population continues to increase. In addition, further study is necessary to establish suitable design conditions of our country.

• 한국의상디자인학회지
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• 제25권3호
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• pp.157-164
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• 2023

The purpose of this study is to compare and analyze bust point information presented in literature and the 8th Korean Anthropometric Survey (Size Korea 2021) as a basis for pattern making for Korean adult women. Therefore, the the bust point position was analyzed through the length from the side neckline to the bust point and the horizontal length from the bust point to the chest. The results are as follows. First, Size Korea's population shows an increase in bust circumference and Side Neck Point to Bust Point with age, with the largest Bust-Point Breadth in the 30s, followed by the 20s, 40s, 60s, and 50s. Second, the Bust-Point Breadth in the female Basic Bodice pattern of Kang Soon-hee, and Oh Sun-hee, which were created from the bust circumference measurements of Size Korea's population, was wider than the measurements, and the difference was verified as a highly significant. Third, in the female Basic Bodice pattern of Kang Soon-hee, and Oh Sun-hee created with the bust circumference dimensions of Size Korea's population, the length of Neck Point to Bust Point was shorter than the measured value, and the difference was highly significant. Fourth, the Bust-Point Breadth and Neck Point to Bust Point in the female Basic Bodice pattern of Kang Soon-hee, and Oh Sun-hee, which were created with the bust circumference of the population of Size Korea by age, were analyzed in different age groups and showed significant differences from the measurements of Size Korea.

• Communications for Statistical Applications and Methods
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• 제9권2호
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• pp.565-576
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• 2002

We propose a new sampling design for the 2001 Health Index Survey at Seoul. In this stratified two-stage sampling design, the ED(enumeration district) of 2000 Population and Housing Census is used as primary sampling unit and the Gu is used as stratification variable in order to obtain the sub-domain estimate for 25 Gu's as well as population estimate for Seoul. The sample ED's are systematically selected after the Ed's are ordered by location and property to obtain a representative sample. And also, the imputation methods for item nonresponses are suggested.

• Journal of the Korean Statistical Society
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• 제24권2호
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• pp.453-470
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• 1995

We describe a constrained optimal classification rule for the case when the prior probability of an observation belonging to one of the two populations is unknown. This is done by suggesting a balanced design for the classification experiment and constructing the optimal rule under the balanced design condition. The rule si characterized by a constrained minimization of total risk of misclassification; the constraint of the rule is constructed by the process of equation between Kullback-Leibler's directed divergence measures obtained from the two population conditional densities. The efficacy of the suggested rule is examined through two-group normal classification. This indicates that, in case little is known about the relative population sizes, dramatic gains in accuracy of classification result can be achieved.

• 응용통계연구
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• 제1권1호
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• pp.12-20
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• 1987

본 연구는 한 개의 표본에서 농업 基本統計와 家畜統計 조사를 다같이 실시하는 多目的 표본설계에 관한 연구를 목적으로 한다. 본 연구의 특징은 첫째 全國 및 道別 추정오차를 작게 하는 동시에 市郡별 추정오차를 균등하게 유지하도록 시도하였고, 둘째 任意標本과 有意標本을 결합하여 표본의 효율을 높이는 방법을 제안하였다. 유의표본은 農家 유의표본과 調査區 유의표본으로 구분하였고, 이들 유의표본 선정에 있어서 추정치의 精度를 높일 수 있는 선정 기준에 관하여 고찰하였다.

• 대한안전경영과학회지
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• 제13권1호
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• pp.133-142
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• 2011

Overhead facility design problem(OFDP) is one of the shortest rectilinear flow network problem(SRFNP)[4]. Genetic algorithm(GA), artificial immune system(AIS), population management genetic algorithm (PM) and greedy randomized adaptive search procedures (GRASP) were introduced to solve OFDP. A path matrix formed individual was designed to represent rectilinear path between each facility. An exchange crossover operator and an exchange mutation operator were introduced for OFDP. Computer programs for each algorithm were constructed to evaluate the performance of algorithms. Computation experiments were performed on the quality of solution and calculations time by using randomly generated test problems. The average object value of PM was the best of among four algorithms. The quality of solutions of AIS for the big sized problem were better than those of GA and GRASP. The solution quality of GRASP was the worst among four algorithms. Experimental results showed that the calculations time of GRASP was faster than any other algorithm. GA and PM had shown similar performance on calculation time and the calculation time of AIS was the worst.