• Title/Summary/Keyword: Neighborhood method

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Attitude Differences on Common Space Management between Expecting Residents and Residents in High Rise Mixed-use Residential Building (초고층 주상복합 건물 거주자와 입주예정자의 공유공간 관리에 대한 태도 비교)

  • 홍형옥;채혜원
    • Journal of Families and Better Life
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    • v.22 no.5
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    • pp.123-132
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    • 2004
  • The purpose of this study was testing the attitude differences on common space management between expecting residents and residents in high rise mixed-use residential buildings(MURB). Research method was social survey with questionnaire from 176 residents and 67 expecting residents by snow balling sampling. Research results were 1)residents want mostly 'convenience', but expecting residents want mostly 'amenity' from MURB environment 2)residents and expecting residents showed statistically significant attitude differences on willingly to pay, amount to pay and paying method about common spaces & facilities. 3)above two groups showed statistically significant difference on opening the common spaces & facilities to the community. 4)residents showed higher than expecting residents on impact degree of common spaces & facilities to neighborhood intimacy. 5)most of residents and expecting residents had an idea of 1-2 hour per week volunteer service at common spaces & facilities. Conclusively, survey on expecting residents's opinion might be needed to enhance the usability of common spaces and facilities in MURB. After the residents moving in, periodical evaluation about usability of each spaces & facilities needed to remodel common spaces.

The Research of Planning Method of Adaption for Old Residential Neighborhoods According to Heat wave and Urban Heat-island Phenomena - Focused on Gun-Ja Dong, Gwang-Jin Gu - (폭염 및 도시열섬현상에 따른 노후 주거지의 적응 계획기법에 관한 연구 - 광진구 군자동 중심으로 -)

  • Kim, Min-Young;Moon, Eun-Seol
    • KIEAE Journal
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    • v.16 no.4
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    • pp.31-39
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    • 2016
  • Purpose: Urban heat island and Heat wave raise urban temperature and create damage of human life. Growing up as quantitative supply to solve shortage of housing, Urban residential area in Korea have a low rate of nature surface and heavily population makes temperature rise. Most houses in the declined residential area are multi-family rental housing and have many factors congesting housing environment such as narrow in-between space, outdoor staircases, walls and semi-basement floor, which make thermal environment getting worse. Most of the residents in this area are small tenants vulnerable to climate change adaptation, This damage is expected to be even greater. This study focus on multiple dwelling in urban residential area prone to temperature rise and draw temperature adaption method that can apply to multiple dwelling.

A Simple and Robustness Algorithm for ECG R- peak Detection

  • Rahman, Md Saifur;Choi, Chulhyung;Kim, Young-pil;Kim, Sikyung
    • Journal of Electrical Engineering and Technology
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    • v.13 no.5
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    • pp.2080-2085
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    • 2018
  • There have been numerous studies that extract the R-peak from electrocardiogram (ECG) signals. All of these studies can extract R-peak from ECG. However, these methods are complicated and difficult to implement in a real-time portable ECG device. After filtration choosing a threshold value for R-peak detection is a big challenge. Fixed threshold scheme is sometimes unable to detect low R-peak value and adaptive threshold sometime detect wrong R-peak for more adaptation. In this paper, a simple and robustness algorithm is proposed to detect R-peak with less complexity. This method also solves the problem of threshold value selection. Using the adaptive filter, the baseline drift can be removed from ECG signal. After filtration, an appropriate threshold value is automatically chosen by using the minimum and maximum value of an ECG signals. Then the neighborhood searching scheme is applied under threshold value to detect R-peak from ECG signals. Proposed method improves the detection and accuracy rate of R-peak detection. After R-peak detection, we calculate heart rate to know the heart condition.

A Study of limitation of Service Area by UWB transmission jamming in DMB System (DMB 시스템에서 UWB 전파가 서비스에 미치는 영향에 관한 연구)

  • Kim, Dong-Ok;Jung, Seung-Jong
    • 한국정보통신설비학회:학술대회논문집
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    • 2005.08a
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    • pp.141-145
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    • 2005
  • In this paper, UWB system did research about effect that interference effect with neighborhood single equipment or nearby group equipment gets In DMB service. 2.6425GHz satellite digital multimedia broadcasting service(SDMB) that electric wave interference special quality is contiguity frequency-band including interference of signal by unnecessary radiation level that is radiated in UWB system, and 3.4125GHz broadcasting relay net that is In-band frequency-band and interference effect degree that get in service did comparative analysis. SDMB system was BER $1{\times}10^{-4}$ that interference effect happens from 6.5m point and broadcasting signal reception is possible at 4m point. Also, it was BER $1{\times}10^{-4}$ that interference effect begins to happen from 5.0m point about center frequency 3.4126GHz and broadcasting signal reception is possible at 2m point. And, confirmed that UWB system of impulse method is less interference effect about 2 dB than UWB system of OFDM method, to electric wave of UWB system that is small output

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A Study on Shape Registration Using Level-Set Model and Surface Registration Volume Rendering of 3-D Images (레밸 세트 모텔을 이용한 형태 추출과 3차원 영상의 표면 정합 볼륨 렌더링에 관한 연구)

  • 김태형;염동훈;주동현;김두영
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.4
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    • pp.29-34
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    • 2002
  • In this paper, we present a new geometric active contour model based on level set methods introduced by Osher and Sethian for detection of object boundaries or shape and we adopt anisotropic diffusion filtering method for removing noise from original image. In order to minimize the processing time, we use the narrow band method which allows us to perform calculations in the neighborhood of the contour and not in the whole image. Using anisotropic diffusion filtering for each slice, we have the result with reduced noise and extracted exact shape. Volume rendering operates on three-dimensional data, processes it, and transforms it into a simple two-dimensional image.

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Microcalcification Detection Based on Region Growing Method with Contrast and Edge Sharpness in Digital X-ray Mammographic Images (명암 대비와 에지 선예도를 이용하는 영역 성장법에 의한 디지털 X선 맘모그램 영상에서의 미세 석회화 검출)

  • Won, C.H.;Kang, S.W.;Cho, J.H.
    • Journal of Sensor Science and Technology
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    • v.13 no.1
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    • pp.56-65
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    • 2004
  • In this paper, we proposed the detection algorithm of microcalcification based on region growing method with contrast and edge sharpness in digital X-ray mammographic images. We extracted the local maximum pixel and watershed regions by using watershed algorithm. Then, we used the mean slope between local maximum and neighborhood pixels to extract microcalcification candidate pixels among local maximum pixels. During increasing threshold value to grow microcalcification region, at the maximum threshold value of the contrast and edge sharpness, the microcalcification area is decided. The regions of which area of grown candidate microcalfication region is larger than that of watershed region are excluded from microcalcifications. We showed the diagnosis algorithm can be used to aid diagnostic-radiologist in the early detection breast cancer.

An Algorithm of Curved Hull Plates Classification for the Curved Hull Plates Forming Process (곡가공 프로세스를 고려한 곡판 분류 알고리즘)

  • Noh, Ja-Ckyou;Shin, Jong-Gye
    • Journal of the Society of Naval Architects of Korea
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    • v.46 no.6
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    • pp.675-687
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    • 2009
  • In general, the forming process of the curved hull plates consists of sub tasks, such as roll bending, line heating, and triangle heating. In order to complement the automated curved hull forming system, it is necessary to develop an algorithm to classify the curved hull plates of a ship into standard shapes with respect to the techniques of forming task, such as the roll bending, the line heating, and the triangle heating. In this paper, the curved hull plates are classified by four standard shapes and the combination of them, or saddle, convex, flat, cylindrical shape, and the combination of them, that are related to the forming tasks necessary to form the shapes. In preprocessing, the Gaussian curvature and the mean curvature at the mid-point of a mesh of modeling surface by Coon's patch are calculated. Then the nearest neighbor method to classify the input plate type is applied. Tests to verify the developed algorithm with sample plates of a real ship data have been performed.

An Analysis on Seoullo 7017 in Terms of Spatial Configuration and Pedestrian Movement in Comparison with the High-line Project

  • Choi, Junho;Choi, Jaepil
    • Architectural research
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    • v.21 no.2
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    • pp.31-39
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    • 2019
  • Inspired by the success of the High-line project in New York, The Seoul Metropolitan Government launched a project to convert an overpass near Seoul station into a pedestrian park. Seoullo 7017 went through instant success after its opening in May 2017; however, there is a continuous controversy over its long-term impact as shown in the exemplary cases like the High-line project. This study aims for quantitative investigation through the comparative analysis between Seoullo 7017 and the High-Line in the perspectives of spatial configuration. Space Syntax was chosen as the analysis method for this research. Integration (3) in Space Syntax is known to have a high correlation with pedestrian volume; thus, by using this method, spatial structure was analyzed by comparing the statistically verified results of changes in the spatial structure of the Highline with those in Seoul. The results indicated that the influence of Seoullo 7017 was less than that of the High-line in terms of spatial configuration. The reason for this difference is spatial configuration between Manhattan and Seoul. The High-line is located in Manhattan which has an urban grid structure, whereas Seoul has non-geometric urban structure, the neighborhood unit in Korea. Also the center of the overpass isn't connected well with its surroundings.

A Study of Travel Time Prediction using K-Nearest Neighborhood Method (K 최대근접이웃 방법을 이용한 통행시간 예측에 대한 연구)

  • Lim, Sung-Han;Lee, Hyang-Mi;Park, Seong-Lyong;Heo, Tae-Young
    • The Korean Journal of Applied Statistics
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    • v.26 no.5
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    • pp.835-845
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    • 2013
  • Travel-time is considered the most typical and preferred traffic information for intelligent transportation systems(ITS). This paper proposes a real-time travel-time prediction method for a national highway. In this paper, the K-nearest neighbor(KNN) method is used for travel time prediction. The KNN method (a nonparametric method) is appropriate for a real-time traffic management system because the method needs no additional assumptions or parameter calibration. The performances of various models are compared based on mean absolute percentage error(MAPE) and coefficient of variation(CV). In real application, the analysis of real traffic data collected from Korean national highways indicates that the proposed model outperforms other prediction models such as the historical average model and the Kalman filter model. It is expected to improve travel-time reliability by flexibly using travel-time from the proposed model with travel-time from the interval detectors.

2D Industrial Image Registration Method for the Detection of Defects (결함 검출을 위한 2차원 산업 영상 정합 기법)

  • Lee, Youngjoo;Lee, Jeongjin
    • Journal of Korea Multimedia Society
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    • v.15 no.11
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    • pp.1369-1376
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    • 2012
  • In this paper, we propose 2D industrial image registration method for the detection of defects. Proposed method performs preprocessing to smooth the original image with the preservation of the edge for the robust registration against general noise. Then, x-direction gradient magnitude image and corresponding binary image are generated. Density analysis around neighborhood regions per pixel are performed to generate feature image for preventing mis-registration due to moire-like patterns, which frequently happen in industrial images. Finally, 2D image registration based on phase correlation between feature images is performed to calculate translational parameters to align two images rapidly and optimally. Experimental results showed that the registration accuracy of proposed method for the real industrial images was 100% and our method was about twenty times faster than the previous method. Our fast and accurate method could be used for the real industrial applications.