• 복식문화연구
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• 제5권2호
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• pp.245-252
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• 1997

In this study, the comfortable as well as good-looking overall patterns were investigated. To measure the maximum vertical spaces caused by the body movements, basic foundation type of overall pattern was made. The vertical spaces, which were measured using the CRO-SS-CUT method. The Result was as followings : The Maximum vertical space was 19.7㎝. The Maximum vertical space was 4.2㎝. The vertical space increased as the leg-movement angle increased.

• 한국CDE학회논문집
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• 제21권2호
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• pp.99-110
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• 2016

The quality of building space program is a key to measure how the building performance satisfies its owner and users. However assuring its efficiency requires reliable criteria that reflect high level experience knowledge in the field. This study suggests a plan to gauge the level of building space performance using expert knowledge, which has not been utilized well enough but should play a critical role. In order to setup an expert system measuring level of the space program, we firstly optimized the space areas to the best case in a knowledgebase and use them as criteria to judge the quality of the spaces extracted from BIM model. We found the experimental results show us a promising way of measuring a relative quality of the space programs.

• 충청수학회지
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• 제27권4호
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• pp.689-695
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• 2014

Let M be an N-function satisfies the ${\Delta}_2$-condition and let $O_M$ be the Orlicz space associated with M. Let $C(O_M)$ be the space of all continuous functions defined on the interval [0, T] with values in $O_M$. In this note, we define the analogue of Wiener measure $m^M_{\phi}$ on $C(O_M)$, establish the Wiener integration formulae for the cylinder functions on $C(O_M)$ and give some examples related to our formulae.

• 천문학회보
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• 제46권2호
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• pp.59.1-59.1
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• 2021

The Korean spacecraft for the exploration of Apophis will be equipped with an optical navigation camera with a wide-angle lens. The major purpose of the wide-angle camera is to capture imagery during the rendezvous phase in order to determine the spacecraft's position and the pointing direction relative to the asteroid Apophis. Two potential sciences, however, can be achieved by the wide-angle camera: (1) to measure the high-order gravity terms, and (2) to capture possible ejecting small particles. In this presentation, we will discuss instrument specification and operation scenario required to accomplish the given science objectives.

• 대한공간정보학회지
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• 제15권3호
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• pp.11-18
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• 2007

유비쿼터스와 관련된 다양한 기술로써 최근 3차원 GIS와 어플리케이션들은 점차 주목받고 있다. 대규모 복합 건물들이 생겨나면서 접근성과 같은 계량적인 측정이 요구되지만, 대부분 접근성과 관련된 연구들은 2차원 네트워크 기반으로 이루어 졌을 뿐 3차원 공간상에서의 접근성 분석에 관한 연구는 사례가 극히 드물다. 따라서 본 연구에서는 3차원 공간에서의 접근성을 산출하는 방법을 제안하고 기존의 전통적인 Space Syntax에서의 접근성 산출방법과 이를3차원 공간 내에 적용하기 위한 새로운 방법을 제시하고, 공간간의 거리, 방향전환, 층간 이동 등의 부하를 고려함으로써 공간의 깊이를 산출하였다. 개발된 방법은 캠퍼스 건물모델에 적용하여 비교 분석하였다.

• 천문학회보
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• 제46권1호
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• pp.60.2-60.2
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• 2021

In this study, we determinate the differential emission measure(DEM) of solar corona using three SDO/AIA EUV channel images and three AI-generated ones. To generate the AI-generated images, we apply a deep learning model based on multi-layer perceptrons by assuming that all pixels in solar EUV images are independent of one another. For the input data, we use three SDO/AIA EUV channels (171, 193, and 211). For the target data, we use other three SDO/AIA EUV channels (94, 131, and 335). We train the model using 358 pairs of SDO/AIA EUV images at every 00:00 UT in 2011. We use SDO/AIA pixels within 1.2 solar radii to consider not only the solar disk but also above the limb. We apply our model to several brightening patches and loops in SDO/AIA images for the determination of DEMs. Our main results from this study are as follows. First, our model successfully generates three solar EUV channel images using the other three channel images. Second, the noises in the AI-generated EUV channel images are greatly reduced compared to the original target ones. Third, the estimated DEMs using three SDO/AIA images and three AI-generated ones are similar to those using three SDO/AIA images and three stacked (50 frames) ones. These results imply that our deep learning model is able to analyze temperature response functions of SDO/AIA channel images, showing a sufficient possibility that AI-generated data can be used for multi-wavelength studies of various scientific fields. SDO: Solar Dynamics Observatory AIA: Atmospheric Imaging Assembly EUV: Extreme Ultra Violet DEM: Diffrential Emission Measure

• 우주기술과 응용
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• 제4권3호
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• pp.220-231
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• 2024

이 연구는 헬륨풍선을 사용하여 한반도 전라북도 상공 대기층의 오존 밀도를 측정하고 높이 척도를 기반으로 대기 밀도의 변화를 분석하는 실험을 다룬다. 실험에서는 아두이노 Uno를 사용하여 데이터를 수집하고 MQ131 센서를 통해 오존 밀도를 측정했다. 또한 BMP280 센서를 사용하여 온도 및 대기 압력을 다양한 고도에서 측정했다. 실험 결과, 한반도 상공 대기의 높이 척도는 6,828.30 m로 나타났으며, 이를 기반으로 대기 밀도의 감소 패턴을 확인했다. 또한, 측정된 오존 수준의 그래프를 분석하여 8 km에서 9 km 고도 사이에서 오존 수준이 급격히 감소하는 현상이 관찰되었다. 이러한 결과들은 대기 환경 및 오존 밀도 변화를 이해하고 환경 모니터링에 중요한 정보를 제공할 수 있다.

• Korean Journal of Acupuncture
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• 제33권1호
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• pp.18-32
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• 2016

Objectives : This study aims to analyze the co-occurrence of pathological symptoms and corresponding acupoints as documented by the comprehensive acupuncture and moxibustion records in the classical texts of Far East traditional medicine as an aid to a more efficient understanding of the tacit treatment principles of ancient physicians. Methods : The Classic of Nourishing Life with Acupuncture and Moxibustion(Zhenjiu Zisheng Jing; hereinafter ZZJ) was selected as the primary reference book for the analysis. The pathology-acupoint co-occurrence analysis was performed by applying 4 values of vector space measures(weighted Euclidean distance, Euclidean distance, $Cram\acute{e}r^{\prime}s$ V and Canberra distance), which measure the distance between the observed and expected co-occurrence counts, and 3 values of probabilistic measures(association strength, Fisher's exact test and Jaccard similarity), which measure the probability of observed co-occurrences. Results : The treatment records contained in ZZJ were preprocessed, which yielded 4162 pathology-acupoint sets. Co-occurrence was performed applying 7 different analysis variables, followed by a prediction simulation. The prediction simulation results revealed the Weighted Euclidean distance had the highest prediction rate with 24.32%, followed by Canberra distance(23.14%) and association strength(21.29%). Conclusions : The weighted Euclidean distance among the vector space measures and the association strength among the probabilistic measures were verified to be the most efficient analysis methods in analyzing the correlation between acupoints and pathologies found in the classical medical texts.

• International Journal of Aeronautical and Space Sciences
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• 제18권3호
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• pp.414-424
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• 2017

This paper introduces an experimental device which can measure accurate aerodynamic forces without support interference in wide experimental region for wind tunnel test of micro aerial vehicles (MAVs). A stereo pattern recognition (SPR) method was introduced to a magnetic suspension and balance system (MSBS), which can eliminate support interference by levitating the experimental model, to establish wider experimental region; thereby MSBS-SPR integrated system was developed. The SPR method is non-contact, highly accurate three-dimensional position measurement method providing wide measurement range. To evaluate the system performance, a series of performance evaluations including SPR system measurement accuracy and 6 degrees of freedom (DOFs) position/attitude control of the MAV model were conducted. This newly developed system could control the MAV model rapidly and accurately within almost 60mm for translational DOFs and 40deg for rotational DOFs inside of $300{\times}300mm$ test section. In addition, a static wind tunnel test was conducted to verify the aerodynamic force measurement capability. It turned out that this system could accurately measure the aerodynamic forces in low Reynolds number, even for the weak forces which were hard to measure using typical balance system, without making any mechanical contact with the MAV model.

• 대한원격탐사학회지
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• 제1권1호
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• pp.5-27
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• 1985

A hill-sliding technique was devised to extract Gaussian clusters from the multivariate probability density estimates of sample data for the first step of iterative unsupervised classification. The underlying assumption in this approach was that each cluster possessed a unimodal normal distribution. The key idea was that a clustering function proposed could distinguish elements of a cluster under formation from the rest in the feature space. Initial clusters were extracted one by one according to the hill-sliding tactics. A dimensionless cluster compactness parameter was proposed as a universal measure of cluster goodness and used satisfactorily in test runs with Landsat multispectral scanner (MSS) data. The normalized divergence, defined by the cluster divergence divided by the entropy of the entire sample data, was utilized as a general separability measure between clusters. An overall clustering objective function was set forth in terms of cluster covariance matrices, from which the cluster compactness measure could be deduced. Minimal improvement of initial data partitioning was evaluated by this objective function in eliminating scattered sparse data points. The hill-sliding clustering technique developed herein has the potential applicability to decomposition of any multivariate mixture distribution into a number of unimodal distributions when an appropriate diatribution function to the data set is employed.