• Title/Summary/Keyword: census

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Robust Stereo Matching to Radiometric Variation Using Binary Information of Census Transformation (Census 변환의 이진 정보를 이용한 조명 변화에 강인한 스테레오 정합)

  • Chang, Yong-Jun;Ho, Yo-Sung
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.11a
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    • pp.94-95
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    • 2016
  • 스테레오 정합은 서로 다른 두 시점을 갖는 스테레오 영상으로부터 객체의 깊이값을 예측한다. 이 방법은 객체가 카메라로 부터 멀리 떨어질수록 두 시점 사이에 큰 변위차를 갖는 양안시차 특성을 이용해 깊이값을 구한다. 일반적으로 스테레오 정합은 촬영한 두 영상의 조명 변화 및 노출 정도가 같다는 조건으로 수행된다. 하지만 실내 또는 실외에서 실제로 영상을 촬영하면 조명 및 햇빛의 위치 그리고 카메라의 특성에 따라 촬영된 스테레오 영상의 밝기가 서로 달라지는 경우가 발생하게 된다. 이처럼 두 영상의 밝기차를 고려하지 않고 스테레오 정합을 하게 되면 정확한 깊이값을 예측하기 어렵다. 이러한 문제를 개선하기 위해 조명 변화에 강인한 ANCC (Adaptive Normalized Cross Correlation)가 제안되었다. 이 방법은 영상 속 화소들의 색상 모델을 이용해 조명변화의 영향을 받는 요소들을 제거함으로써 다양한 밝기변화 속에서도 안정적으로 스테레오 정합을 수행할 수 있도록 한다. 하지만 ANCC는 수행과정에서 각 화소마다 양방향 필터 (Bilateral Filter)가 적용되는 등 높은 복잡도를 갖는다는 단점이 있다. 본 논문에서는 기존의 ANCC 보다 복잡도가 낮으면서 밝기변화에도 안정적인 정합 결과를 갖기 위해 Census 변환의 이진 정보를 이용한 스테레오 정합 방법을 제안한다.

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Epidemic Disease Spreading Simulation Model Based on Census Data (센서스 데이터를 기반으로 만든 전염병 전파 시뮬레이션 모델)

  • Hwang, Kyosang;Lee, Taesik;Lee, Hyunrok
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.2
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    • pp.163-171
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    • 2014
  • Epidemic models are used to analyze the spreading of epidemic diseases, estimate public health needs, and assess the effectiveness of mitigation strategies. Modeling scope of an epidemic model ranges from the regional scale to national and global scale. Most of the epidemic models developed in Korea are at the national scale using the equation-based model. While these models are useful for designing and evaluating national public health policies, they do not provide sufficient details. As an alternative, individual-based models at the regional scale are often used to describe disease spreading, so that various mitigation strategies can be designed and tested. This paper presents an individual-based epidemic spreading model at regional scale. This model incorporates 2005 census data to build the synthetic population in the model representing Daejeon in 2005. The model's capability is demonstrated by an example where we assess the effectiveness of several mitigation strategies using the model.

Design of Robust Face Recognition Pattern Classifier Using Interval Type-2 RBF Neural Networks Based on Census Transform Method (Interval Type-2 RBF 신경회로망 기반 CT 기법을 이용한 강인한 얼굴인식 패턴 분류기 설계)

  • Jin, Yong-Tak;Oh, Sung-Kwun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.5
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    • pp.755-765
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    • 2015
  • This paper is concerned with Interval Type-2 Radial Basis Function Neural Network classifier realized with the aid of Census Transform(CT) and (2D)2LDA methods. CT is considered to improve performance of face recognition in a variety of illumination variations. (2D)2LDA is applied to transform high dimensional image into low-dimensional image which is used as input data to the proposed pattern classifier. Receptive fields in hidden layer are formed as interval type-2 membership function. We use the coefficients of linear polynomial function as the connection weights of the proposed networks, and the coefficients and their ensuing spreads are learned through Conjugate Gradient Method(CGM). Moreover, the parameters such as fuzzification coefficient and the number of input variables are optimized by Artificial Bee Colony(ABC). In order to evaluate the performance of the proposed classifier, Yale B dataset which consists of images obtained under diverse state of illumination environment is applied. We show that the results of the proposed model have much more superb performance and robust characteristic than those reported in the previous studies.

Analysis of the Status of Agricultural Communities and Location Quotient (LQ) using Regional Survey Data in 2015 Census of Agriculture, Forestry, and Fisheries (2015 농림어업총조사 지역조사 자료를 이용한 농업공동체 현황과 지역별 입지계수(Location Quotient: LQ) 분석)

  • Lee, Jimin
    • Journal of Korean Society of Rural Planning
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    • v.26 no.2
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    • pp.83-93
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    • 2020
  • Rural areas have been faced with various problems such as aging and population decline, and in these circumstances, the activation of local communities is suggested as a solution. Agricultural producer organizations are a powerful means of maintaining rural society. The purpose of this study is to understand the characteristics of agricultural community activities by region by comparing the status of organization and activities and analyzing Location Quotient(LQ) based on the regional survey data in the 2015 census of agriculture, forestry, and fisheries. As the results of the analysis, it was found that 38.35% of villages participated in economic organizations and 32.22% of villages were having urban-rural exchange activities. The crop clubs were actively operated in the Gyeongsangbuk province, and other economic organizations were organized in Jeju, Haenam-gun, and Dangjin-si more than other regions. And the urban-rural exchange activities were found in Chungcheongnam province mainly. The results of detailed LQ analysis by organization and activity showed that specialized regions for each community or activity were different. These results could be used for regional planning or the establishment of strategies for community activation.

Analysis of Population Depending on Spatial Unit for Setting Suitable Spatial Unit to Rural Planning (농촌계획 수립에 적합한 공간단위 설정을 위한 공간 단위에 따른 인구 비교 분석)

  • Lee, Jimin
    • Journal of Korean Society of Rural Planning
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    • v.25 no.3
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    • pp.1-9
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    • 2019
  • Population is important as a fundamental element of local industry and economy, and census data is essential to regional planning and policy making. Although there have been many researches on population and regional planning, there are few studies on population considering spatial unit. In this study, the population of three spatial scales were compared in order to establish the spatial unit suitable for the rural planning. The study area is Gangwon, Chungcheong-Nam, Chungcheong-Buk, Jeolla-Nam, Jeolla-Buk, Gyeonsang-Nam, Gyeonsang-Buk and Jeju province. Population were compared using statistical data analysis, GIS visualization, and spatial statistics. The mean, maximum, minimum, and variance of population were calculated and the coefficient of variation according to spatial unit was compared. The mean, maximum, minimum, and variance of population were calculated and the coefficient of variation according to spatial unit was compared. As the results, the census output area unit is difficult to interpret spatial analysis results. Administrative district unit has the limit that includes areas where the population does not live. The grid unit is well suited to the geographical characteristics but has many disadvantages of the grid with small population. Therefore, It is necessary to complement the limits of the Eup and Myeon-dong administrative district through the grid unit data.

A Study on the Regionally Customized Urban Regeneration and Maintenance of Small and Medium Cities Using Spatial Big-Data - Focused on the Residential Census Output Area - (공간 빅데이터를 활용한 중소도시 지역맞춤형 도시재생·유지관리 연구 - 주거지역 집계구를 중심으로 -)

  • Han, Da-Hyuck;Lee, Min-Seok
    • Journal of the Korean Institute of Rural Architecture
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    • v.23 no.2
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    • pp.9-16
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    • 2021
  • The purpose of this study is to maintain the existing characteristics of the city by utilizing the physical decline status and floating population in small and medium cities residential areas. In addition, it intends to present the direction of flexible urban regeneration and maintenance by reflecting regional characteristics and current status. A total of three data were used in this study. Building data, floating population data, and census output area data were used. Building data and floating population data were classified into five classes. The graded data were joined to the census output area data and analyzed by overlapping the two data. As a result of analysis of 17 residential areas in 5 small and medium cities in Jeollanam-do, 4 types, 2 management models, and 4 indicators could be presented by grade and regional characteristics. This study is meaningful in that it is possible to plan regionally customized urban regeneration/maintenance management plans and projects through the typology of the current status and characteristics of the region, which is an important step in the bottom-up form.

Regional Difference in Retail Product Association of Market Basket Analysis in US

  • Byong-Kook YOO;Soon-Hong KIM
    • Journal of Distribution Science
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    • v.21 no.4
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    • pp.121-129
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    • 2023
  • Purpose: Market basket analysis is one of the most frequently used methods in the retail industry today as a technique to discover the product association. It is empirically analyzed how these product associations differ regionally in the case of the United States. Research design, data, and methodology: Based on the purchasing data of consumer panels collected from 49 US states, the association rules for each state was extracted with the corresponding lift values indicating product association. The difference in lift values in 49 states by the association rule was compared and tested for 49 states and for 4 census regions (Northeast, Midwest, South, West). Results: The association rules of 3/4 of the same association rules show positive associations or negative associations depending on the lift values of the states. There were significant differences in the lift values for 49 states, and for 4 census regions. These significant differences in the lift values were found to be related to the distance between states and whether states belong to the same census region. Conclusions: Retail product associations shown by market basket analysis may vary depending on regional distance or regional heterogeneity. It is necessary to pay attention to these points in multi-store environment.

An Evaluation of a Dasymetric Surface Model for Spatial Disaggregation of Zonal Population data (구역단위 인구자료의 공간적 세분화를 위한 밀도 구분적 표면모델에 대한 평가)

  • Jun, Byong-Woon
    • Journal of the Korean association of regional geographers
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    • v.12 no.5
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    • pp.614-630
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    • 2006
  • Improved estimates of populations at risk for quick and effective response to natural and man-made disasters require spatial disaggregation of zonal population data because of the spatial mismatch problem in areal units between census and impact zones. This paper implements a dasymetric surface model to facilitate spatial disaggregation of the population of a census block group into populations associated with each constituent pixel and evaluates the performance of the surface-based spatial disaggregation model visually and statistically. The surface-based spatial disaggregation model employed geographic information systems (GIS) to enable dasymetric interpolation to be guided by satellite-derived land use and land cover data as additional information about the geographic distributor of population. In the spatial disaggregation, percent cover based empirical sampling and areal weighting techniques were used to objectively determine dasymetric weights for each grid cell. The dasymetric population surface for the Atlanta metropolitan area was generated by the surface-based spatial disaggregation model. The accuracy of the dasymetric population surface was tested on census counts using the root mean square error (RMSE) and an adjusted RMSE. The errors related to each census track and block group were also visualized by percent error maps. Results indicate that the dasymetric population surface provides high-precision estimates of populations as well as the detailed spatial distribution of population within census block groups. The results also demonstrate that the population surface largely tends to overestimate or underestimate population for both the rural and forested and the urban core areas.

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A Hybrid Dasymetric Mapping for Population Density Surface using Remote Sensing Data (원격탐사자료를 바탕으로 인구밀도 분포 작성을 위한 하이브리드 대시메트릭 지도법)

  • Kim, Hwa-Hwan;Choi, Jin-Mu
    • Journal of the Korean Geographical Society
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    • v.46 no.1
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    • pp.67-80
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    • 2011
  • Choropleth mapping of population distribution is based on the assumption that people are uniformly distributed throughout each enumeration unit. Dasymetric mapping technique improves choropleth mapping by refining spatially aggregated data with residential information. Further, pycnophylactic interpolation can upgrade dasymetric mapping by considering population distribution of neighboring areas, while preserving the volumes of original units. This study proposed a combined solution of dasymetric mapping and pycnophylactic interpolation to improve the accuracy of population density distribution. Specifically, the dasymetric method accounts for the spatial distribution of population within each census unit, while pycnophylactic interpolation considers population distribution of neighboring area. This technique is demonstrated with 1990 census data of the Athens, GA. with land use land cover information derived from remotely-sensed imagery for the areal extent of populated areas. The results are evaluated by comparison between original population counts of smaller census units (census block groups) and population counts of the grid map built from larger units (census tracts) aggregated to the same areal units. The estimated populations indicate a satisfactory level of accuracy. Population distribution acquired by the suggested method can be re-aggregated to any type of geographic boundaries such as electoral boundaries, school districts, and even watershed for a variety of applications.

Cost-Benefit Analysis of The National Land Census Project and Its Policy Implications (국토센서스 사업의 비용 및 편익분석과 시사점)

  • Lee, Young-Sung;Kim, Kab-Sung;Lee, Choon-Won;Kwon, Dae-Jung;Yu, Hyeon-Ji;Yun, Hyung-Seok;Kim, Jin
    • Journal of Cadastre & Land InformatiX
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    • v.49 no.2
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    • pp.23-38
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    • 2019
  • The National Land Census Project aims to survey the national land regularly to resolve the land category disagreement and reflect the actual land use. The objective of this study is to investigate whether not only the National Land Census Project but also related land and housing surveys bring about the improvement of social welfare in light of the invested budget, and to measure the project feasibility. The potential benefit after the National Land Census Project is not traded in the market. To determine the economic value of this potential benefit, the Contingent Valuation Method was used. This study utilized the single-bounded and double-bounded dichotomous choice models simultaneously to estimate the project feasibility of the cadastral system improvement. According to this study, cost-benefit ratio of the project was estimated larger than 1, which means that social benefits are larger than social costs.