• Journal of Life Science
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• v.25 no.4
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• pp.369-375
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• 2015

Data on the spatial distribution of a plant population among administrative areas is useful for various purposes. In this study, I analyzed the spatial distribution of the geographical distances of Carex siderosticta at Mt. Geumjeong and Mt. Ahop in Korea. The aim was to test a spatial structure within two populations of C. siderosticta. Most natural plots of C. siderosticta are not uniformly distributed in the forest community; for example, uniform plots were aggregately distributed within a space of 6.0 m $\times$ 6.0 m. When the sampling plots were larger than 6.0 m $\times$ 12.0 m, the individuals of C. siderosticta were aggregately distributed. The neighboring patches of C. siderosticta were predominantly 7.5 m to 9.0 m apart, on average; however, if the natural populations were disturbed by human activities, the aggregation occurred in shorter distances than a scale of 9.0 m. Moran's I of C. siderosticta significantly differed from the expected value in only 16 of 40 cases (40%). In conclusion, the geographical distribution of C. siderosticta is not even, with varying degrees of size in the plots, while human activities give rise to density effects in the plots at both Mt. Geumjeong and Mt. Ahop in Korea.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.257-274
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• 2021

Although image segmentation is a critical part of object-based analysis of high resolution imagery, there has been lack of studies to evaluate the quality of image segmentation. In this study, we aimed to find practical and effective methods to obtain optimal parameters for image segmentation. Evaluations of image segmentation are divided into unsupervised, supervised, and qualitative visual interpretation methods. Using the multispectral UAV images, sampled from urban and forest over the Incheon Metropolitan City Park, three evaluation methods were compared. In overall, three methods showed very similar results regardless of the computational costs and applicability, although the optimal parameters determined by the evaluations were different between the urban and forest images. There is no single measure that outperforms in the unsupervised evaluation. Any combinations of intra-segment measures (V, COV, WV) and inter-segment measures (MI, BSH, DTNP) provided almost the same results. Although supervised method may be biased by subjective selection of reference data, it can be easily applied to detect object of interest. The qualitative visual interpretation on the segmentation results corresponded with the unsupervised and supervised evaluations.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.4
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• pp.37-47
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• 2014

This study aims to examine the usage of and satisfaction with neighborhood parks and university campuses and compare through the RPRS analysis of them to figure out how university campuses, as substitutive green spaces, play the role of curative environment for neighboring people. This study relied on two methods: a descriptive method of researching publications and related scholastic writings and an empirical study of researching how the park and campus has been utilized and researching whether the residents are satisfied with the currently existing space and the environment or not, and finally researching how the university campus open space as a curative environment impacts the satisfaction and utilization through reliability analysis. As a result, contribution of healing environment has a relatively high average contribution of 4 or more points, respectively. These results suggest that urban people think that a relationship between man and nature is very important in the overabundance of stress in modern society. It shows that neighborhoods are higher than university campuses in the explanatory of the Attention Restoration Theory, but the campus is higher than the neighborhood park in similarity of configuration. The result of RPRS analysis shows that the therapeutic qualities of the landscape may be very useful to evaluate a college campus open space in "the Revised Perceived Restoration Scale." The results showed that, in future studies, it will be a great help by widespread use of pre-evaluation of the characteristics of restorative environments in the planning, design and other works. To study the impact of the curative features on evaluating future research locations, the location should provide a variety of purposes and motives. At the same time, it should provide specific design ideas to design-related designers by using perceived restoration scale.

• Journal of The Korean Radiological Technologist Association
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• v.28 no.1
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• pp.241-241
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• 2002

영상 데이타는 전송, 검출 및 처리과정에서 여러 잡음에 의해 훼손될 수 있다. 적응성 가중 메디안 필터라는 공간변화 필터를 사용하여 X-선 산란 잡음을 제거하였다. 제안된 필터는 처리 윈도우 내 각 픽셀의 국소 통계치의 변화에 따라 필터의 성능이 변화하여 에너지를 최대한 보존하면서 잡음만을 제거하고자 이러한 국소 통계값에 근거한 적응성 가중 메디안 필터(AWMF)를 제시한다. AWMF를 구현함에 있어 두 가지 방법으로 나뉘는데, 우선 국소 통계의 특성에

• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.183-188
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• 2006

허밍을 통한 유사 검색 질의가 주어질 때 효과적으로 음악 데이터베이스를 검색하는 시스템에 대한 연구는 다양한 방향으로 진행되어 왔다. 최근에는 음악 데이터와 허밍 질의를 시계열 데이터로 보고 시계열 데이터 유사 검색과 관련하여 제안되어 왔던 여러 가지 거리 척도(distance measure)나 인덱싱 기법등을 적용하여 효과적으로 질의를 처리하려는 시도가 계속 되고 있다. 허밍 질의의 특성을 고려한 균일 스케일링(Uniform Scaling)을 사용하여 효과적인 유사 검색을 하는 방법은 가장 최근 제시된 방법 중 하나이다. 본 논문에서는 허밍을 통한 유사 검색 시스템인 Humming BIRD(Humming Based similaR miDi music retrieval system)를 제안하고 구현하였다. 슬라이딩 윈도우를 사용하여 음악의 임의의 부분에 대한 허밍 질의를 처리할 수 있도록 하였으며 효율적인 검색을 위해 중심을 일치시킨(center-aligned) 균일 스케일링을 제안하고 이 거리의 하한을 계산하는 하계 함수를 사용하여 탐색 공간(search space)을 효과적으로 줄여 더 빠르고 효과적인 유사 검색을 가능하도록 하였으며 실험을 통해 중심을 일치시킨된 균일 스케일링이 이전과 같은 검색 결과를 얻으면서도 효과적으로 검색함을 탐색 공간을 줄이는 가지치기 성능을 비교함으로써 보였다.

• The Korean Journal of Applied Statistics
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• v.31 no.1
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• pp.67-75
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• 2018

Multidimensional scaling (MDS) is an exploratory analysis of multivariate data to represent the dissimilarity among objects in the geometric low-dimensional space. However, a general MDS map only shows the information of objects without any information about variables. In this study, we used MDS based on the algorithm of Torgerson (Theory and Methods of Scaling, Wiley, 1958) to visualize some clusters of objects in categorical data. For this, we convert given data into a multiple indicator matrix. Additionally, we added the information of levels for each categorical variable on the MDS map by applying the partition method of Shin et al. (Korean Journal of Applied Statistics, 28, 1171-1180, 2015). Therefore, we can find information on the similarity among objects as well as find associations among categorical variables using the proposed MDS map.

• Journal of Korean Society of Transportation
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• v.20 no.1
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• pp.149-156
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• 2002

본 연구는 보행자 시설 중 계단과 대기공간에 대해 공학적으로 합리적인 분석방법을 제공하고 이를 통해 안전하고 편리한 보행시설의 제공을 도모하는 것을 목적으로 하였다. 본 연구를 위해 계단과 대기공간에 대한 외국의 조사방법과 분석방법을 참조, 비교하여 서비스 수준 결정기준을 정하고 용량 값을 산출하여 우리나라 현실에 맞는 적정한 설계기준을 산출하기 위해 노력하였다. 계단의 경우 효과척도로 보행 교통량을 그리고 대기공간에 있어서는 1인당 점유면적을 사용하였다. 현장 조사 결과 계단에서의 보행량은 보행자가 군을 형성했을 경우와 그렇지 않은 경우 최대 보행량에 차이가 나는 것을 고려하여 보행자 군의 형성 여부에 따라 서비스 수준의 기준을 다르게 제시하였으며, 대기공간의 경우에는 1인당 점유면적을 한국인의 평균체형을 기준으로 하여 서비스 수준의 기준을 제시하였다. 계단과 대기공간에 있어서 이러한 조사와 분석을 통해 산출된 결과는 외국의 경우와 다른 값을 나타내는데, 계단에 있어서는 실질적으로 이용할 수 있는 유효계단 폭에 따라 최대 보행 교통량의 타이가 크게 나타났으며, 대기공간의 경우에는 한사람이 점유 할 수 있는 용량상태에서의 공간이 0.2$m^2$/인으로 외국의 경우보다 적게 나타난다.

• Spatial Information Research
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• v.23 no.5
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• pp.31-40
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• 2015

The purpose of this paper is to propose a data transformation method for visualizing the statistical information based on the grid system which has regular shape and size. Grid is better solution than administrator boundary or census block to check the distribution of the statistical information and be able to use as a spatial unit on the map flexibly. On the other hand, we need the additional process to convert the various statistical information to grid if we use the current method which is areal interpolation. Therefore, this paper proposes the 3 steps to convert the various statistical information to grid. 1)Geocoding the statistical information, 2)Converting the spatial information through the defining the spatial relationship, 3)Attribute transformation considering the data scale measurement. This method applies to the population density of Seoul to convert to the grid. Especially, spatial autocorrelation is performed to check the consistency of grid display if the reference data is different for same statistic information. As a result, both distribution of grid are similar to each other when the population density data which is represented by census block and building is converted to grid. Through the result of implementation, it is demonstrated to be able to perform the consistent data conversion based on the proposed method.

• The Journal of the Acoustical Society of Korea
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• v.28 no.2
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• pp.85-95
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• 2009

In the binaural synthesis environments, wide varieties of the head-related transfer functions (HRTFs) that have measured with a various direction would be desirable to obtain the accurate and various spatial sound images. To reduce the size' of HRTFs, interpolation has been often employed, where the HRTF for any direction is obtained by a limited number of the representative HRTFs. In this paper, we study on the distortion measures for interpolation, which has an important role in interpolation. With lhe various objective distortion metrics, the differences between the interpolated and the measured HRTFs were computed. These were then compared and analyzed with the results from the listening tests. From the results, the objective distortion measures were selected, that reflected the perceptual differences in spatial sound image. This measure was employed in a practical interpolation technique. We applied the proposed method to four kinds of an HRTF set, measured from three human heads and one mannequin. As a result, the Mel-frequency cepstral distortion was shown to be a good predictor for the differences in spatial sound location, when three HRTF measured from human, and the time-domain signal to distortion ratio revealed good prediction results for the entire four HRTF sets.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.7
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• pp.291-296
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• 2015

In this paper, we propose a new confidence measure using pixel selection for eye detection and design a hybrid eye detector. For this, we produce sub-images by applying a pixel selection method to the eye patches and construct the BDA(Biased Discriminant Analysis) feature space for measuring the confidence of the eye detection results. For a hybrid eye detector, we select HFED(Haar-like Feature based Eye Detector) and MFED(MCT Feature based Eye Detector), which are complementary to each other, as basic detectors. For a given image, each basic detector conducts eye detection and the confidence of each result is estimated in the BDA feature space by calculating the distances between the produced eye patches and the mean of positive samples in the training set. Then, the result with higher confidence is adopted as the final eye detection result and is used to the face alignment process for face recognition. The experimental results for various face databases show that the proposed method performs more accurate eye detection and consequently results in better face recognition performance compared with other methods.