• Title/Summary/Keyword: spatial patterns

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A Research on the Spatial Configuration of the Korean Super-high rise Multi-unit Housing after the 1990s - Focusing on the window-side room layout of the 3 bedroom plans in the commercial mixed building over 40 Stories in Seoul - (1990 년대 이후 우리나라 초고층 공동주거 공간계획의 발전방향에 관한 연구 - 서울의 40층 이상 주상복합 아파트 3침실형 평면의 외기노출면 실배치 방식을 중심으로 -)

  • Seo, Kyung-Wook
    • Korean Institute of Interior Design Journal
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    • v.20 no.2
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    • pp.139-146
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    • 2011
  • An attempt is made to illuminate the characteristics of Korean high-rise apartment plans built after the 1990s in Seoul. Unlike the typical slab block plans of the past century, these plans were accommodated in a super-highrise building which normally integrates some portion of commercial areas on the lower floors. Thus, they are much different from the pre-1990s plans, so needs to have different strategy to adapt to the Korean dwellers' domestic requirements. This study reveals the topological patterns that appear in these new plans, and tries to relate these patterns to the old configuration patterns of the slab-type apartment houses. From the analysis, it was found that some important Korean dwellers' characteristics are still preserved, but at the same time, some unprecedented patterns were beginning to be absorbed into the spatial arrangement. At the end, suggestions are made on how this emerging trend of super-high rise can be better understood and evolved to enhance the living quality in a new multi-unit setting.

PHENOLOGICAL ANALYSIS OF NDVI TIME-SERIES DATA ACCORDING TO VEGETATION TYPES USING THE HANTS ALGORITHM

  • Huh, Yong;Yu, Ki-Yun;Kim, Yong-Il
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.329-332
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    • 2007
  • Annual vegetation growth patterns are determined by the intrinsic phenological characteristics of each land cover types. So, if typical growth patterns of each land cover types are well-estimated, and a NDVI time-series data of a certain area is compared to those estimated patterns, we can implement more advanced analyses such as a land surface-type classification or a land surface type change detection. In this study, we utilized Terra MODIS NDVI 250m data and compressed full annual NDVI time series data into several indices using the Harmonic Analysis of Time Series(HANTS) algorithm which extracts the most significant frequencies expected to be presented in the original NDVI time-series data. Then, we found these frequencies patterns, described by amplitude and phase data, were significantly different from each other according to vegetation types and these could be used for land cover classification. However, in spite of the capabilities of the HANTS algorithm for detecting and interpolating cloud-contaminated NDVI values, some distorted NDVI pixels of June, July and August, as well as the long rainy season in Korea, are not properly corrected. In particular, in the case of two or three successive NDVI time-series data, which are severely affected by clouds, the HANTS algorithm outputted wrong results.

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An Analysis of Indications of Meridians in DongUiBoGam Using Data Mining (데이터마이닝을 이용한 동의보감에서 경락의 주치특성 분석)

  • Chae, Younbyoung;Ryu, Yeonhee;Jung, Won-Mo
    • Korean Journal of Acupuncture
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    • v.36 no.4
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    • pp.292-299
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    • 2019
  • Objectives : DongUiBoGam is one of the representative medical literatures in Korea. We used text mining methods and analyzed the characteristics of the indications of each meridian in the second chapter of DongUiBoGam, WaeHyeong, which addresses external body elements. We also visualized the relationships between the meridians and the disease sites. Methods : Using the term frequency-inverse document frequency (TF-IDF) method, we quantified values regarding the indications of each meridian according to the frequency of the occurrences of 14 meridians and 14 disease sites. The spatial patterns of the indications of each meridian were visualized on a human body template according to the TF-IDF values. Using hierarchical clustering methods, twelve meridians were clustered into four groups based on the TF-IDF distributions of each meridian. Results : TF-IDF values of each meridian showed different constellation patterns at different disease sites. The spatial patterns of the indications of each meridian were similar to the route of the corresponding meridian. Conclusions : The present study identified spatial patterns between meridians and disease sites. These findings suggest that the constellations of the indications of meridians are primarily associated with the lines of the meridian system. We strongly believe that these findings will further the current understanding of indications of acupoints and meridians.

Estimation Methods for Linear Spatial Model on Lattice (Lattice형 공간정보의 선형모형 추정방법)

  • Gwon, O-Ryong;Yeom, Jun-Geun
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.1
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    • pp.153-159
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    • 1996
  • Linear models for spatial data are proposed by example in the paper. This method was introduced to Korea for the first time in the early part of 1990's. The correlation of spatial patterns is computed by Moran Index., and then correlogram is proposed as the method to identify correlation of spatial patterns. Due to computational difficulties with ML, an alternative estimator has been used as an eigenvalue method.

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Improved Feature Extraction of Hand Movement EEG Signals based on Independent Component Analysis and Spatial Filter

  • Nguyen, Thanh Ha;Park, Seung-Min;Ko, Kwang-Eun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.4
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    • pp.515-520
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    • 2012
  • In brain computer interface (BCI) system, the most important part is classification of human thoughts in order to translate into commands. The more accuracy result in classification the system gets, the more effective BCI system is. To increase the quality of BCI system, we proposed to reduce noise and artifact from the recording data to analyzing data. We used auditory stimuli instead of visual ones to eliminate the eye movement, unwanted visual activation, gaze control. We applied independent component analysis (ICA) algorithm to purify the sources which constructed the raw signals. One of the most famous spatial filter in BCI context is common spatial patterns (CSP), which maximize one class while minimize the other by using covariance matrix. ICA and CSP also do the filter job, as a raw filter and refinement, which increase the classification result of linear discriminant analysis (LDA).

A Study on the Spatial Use Patterns of the Demented Elderly in Skilled Nursing Facilities (노인전문요양시설 치매노인의 공간이용패턴에 관한 연구)

  • Yang, Kum-Suek
    • Journal of the Korean Institute of Rural Architecture
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    • v.8 no.2
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    • pp.36-45
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    • 2006
  • The purpose of this study is to clarify the spatial use pattern changes over time in skilled nursing facility. The investigation had been executed against the elderly(65 and over) in skilled nursing facility. This article discuss the basic characteristics of the elderly with dementia and the daily living activities of the elderly with dementia at skilled nursing facility in Jangseong-gun. The survey was repeated 2 times at the period of 61 months and 88 months after the opening of the facility. Changes over time of the spatial use patterns are clarified. Some results show as follows: (1)As the time went by, there is wide difference between behavioral places and nursing levels on the living activities of the elderly with dementia. (2)As the time went by, the elderly who have a tendency to stay in his bedroom through the greater part of the days.

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An Analysis of Spatial Accessibility to Public Healthcare Services in Rural Areas (농촌지역 공공 보건서비스에 대한 공간적 접근성 분석)

  • Cho, Dae-Heon;Shin, Jung-Yeop;Kim, Kam-Young;Lee, Gun-Hak
    • Journal of the Korean association of regional geographers
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    • v.16 no.2
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    • pp.137-153
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    • 2010
  • The issue of spatial equity in public healthcare services is an important issue in rural areas with lower healthcare resources. This study investigates spatial accessibility to public healthcare services by public transport, focusing on bus travel in Yeoju-gun, Gyeonggi-do. We comprehensively analyzed the spatial patterns of accessibility using the measures based on spatial interaction, and compared them with the accessibility patterns by car travel. As a result of analysis, the spatial disparity between the central part of Yeoju-gun (lower accessibility) and its peripheries (higher accessibility) was identified. More specifically, the area and population of lower accessibility areas are greater than those of higher accessibility areas, and the difference in the accessibility values between higher and lower accessible areas is considerably large. Moreover, the accessibility patterns appears somewhat different according to two different travel modes. In particular, about 20% of the entire area presented the opposite patterns between two travel modes. Interestingly, less populated peripheral areas are more included in higher accessible areas by car.

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Optical Pattern Switching in Semiconductor Microresonators as All-Optical Switch

  • Kheradmand, Reza;Dastmalchi, Babak
    • ETRI Journal
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    • v.31 no.5
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    • pp.593-597
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    • 2009
  • In this paper, we present a spatial perturbation method to control the optical patterns in semiconductor microresonators in the far-field configuration. We propose a fast all-optical switch which operates at a low light level. The switching beam controls the behavior of output beams with strong intensities. The method has been applied successfully to different optical patterns such as rolls, squares, and hexagons.

PATTERN FORMATION FOR A RATIO-DEPENDENT PREDATOR-PREY MODEL WITH CROSS DIFFUSION

  • Sambath, M.;Balachandran, K.
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.16 no.4
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    • pp.249-256
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    • 2012
  • In this work, we analyze the spatial patterns of a predator-prey system with cross diffusion. First we get the critical lines of Hopf and Turing bifurcations in a spatial domain by using mathematical theory. More specifically, the exact Turing region is given in a two parameter space. Our results reveal that cross diffusion can induce stationary patterns which may be useful in understanding the dynamics of the real ecosystems better.