• 제목/요약/키워드: registration

검색결과 2,632건 처리시간 0.032초

3차원 지적등록을 위한 모형개발에 관한 연구 (A Study on the Development Cadastral Model for 3D Cadastre Registration)

  • 김감래;임건혁;박세진;황보상원
    • 한국측량학회지
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    • 제23권2호
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    • pp.129-136
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    • 2005
  • 최근 과학기술의 발달과 급속한 도시화, 산업화 등으로 토지활용에 대한관심이 증가됨에 따라 토지의 이용이 지표면뿐만 아니라 지상의 공간과 지하의 공간으로 확대되고 있다. 이와 같은 토지이용의 입체화에 따라 공간상의 권리의 대상인 각종 건축물 및 시설물 등을 현재의 2차원 지적등록 방법으로는 그 한계성을 나타내고 있다. 따라서 지표면은 물론 공간상에 생성될 수 있는 다양한 형태의 구조물 및 시설물 등의 물리적 객체와 소유권 및 기타 권리관계를 등록할 수 있는 방안이 필요하게 되었다. 본 연구에서는 3차원 지적등록의 필요성과 3차원 지적등록의 대상 등의 분석을 통하여 공간상의 3차원 지적 분할과 이의 가시화를 통하여 실현가능한 3차원 지적 등록을 위한 모형을 제시하고자 하였다.

한국 인구동태통계 작성에 대한 평가 (An Evaluation of The Vital Registration System in Korea)

  • 김남일
    • 한국인구학
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    • 제20권1호
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    • pp.47-63
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    • 1997
  • 인구동태 신고조직과 관리에 관련된 문제, 신고행태와 이에서 발생되는 통계의 오차. 그리고 이들 오차의 수정방법 등이 검토되었다. 주요결과를 보면 1994년 현재 출생과 사망의 당년신고율이 모두 통계청 출생, 사망 추정건수의 95%를 웃도는 것으로 나타났고, 1970년대 후반부터 신고율이 높은 증가율을 보였다. 이와 같이 신고율이 급성장한 것은 1) 신고서 양식의 간소화, 2) 신고의 편의-현거주지 읍,면,동 신고 3) 신고 불이행에 대한 과태료율의 강화, 4) 사회보장제도 등 개선활동이 크게 작용하였다. 그러나 출생,사망신고는 대중과 담당공무원에게 충분한 동기가 부여되어 있지 않은 업무임으로 완전한 법정기한내 신고를 달성하기 위해서는 반드시 지속적인 경계장치가 있어야 한다. 1980년대에 와서 당년신고의 급격한 증가와 함께 크게 개선되었을 것으로 생각되지만 아직 자료의 질적인 측면에 대한 구체적 조사연구가 없으므로 국민의 신고행태에 관한 조사연구가 필요하다. 아직 상당한 사망년월일의 착오신고가 있을 것으로 유추되고, 심각한 문제는 연구논문들이 발생년월일 착오신고 등의 오차에 대한 검토와 수정이 전혀 없이 자료를 분석하고 있다는 점이다. 사건 발생의 착오신고는 연도별 동태율에 큰 영향을 미치고, 특히 사망의 경우, 신고율이 급격한 증가추세를 보일 때 사망률이 낮은 저연령층의 사망률을 크게 왜곡시킨다. 1970년대 사망신고 자료를 분석한 것을 보면 3세에서 19세 사이의 각 연령별 사망자 신고가 추정된 사망자수보다 크게는 67%까지 과대신고된 것으로 나타났다.

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스테레오 비전을 이용한 마커리스 정합 : 특징점 추출 방법과 스테레오 비전의 위치에 따른 정합 정확도 평가 (Markerless Image-to-Patient Registration Using Stereo Vision : Comparison of Registration Accuracy by Feature Selection Method and Location of Stereo Bision System)

  • 주수빈;문정환;신기영
    • 전자공학회논문지
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    • 제53권1호
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    • pp.118-125
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    • 2016
  • 본 논문에서는 얼굴 영역 수술용 네비게이션을 위한 스테레오 비전과 CT 영상을 이용하여 환자-영상 간 정합(Image to patient registration) 알고리즘의 성능을 평가한다. 환자 영상 간 정합은 스테레오 비전 영상의 특징점 추출과 이를 통한 3차원 좌표 계산, 3차원 좌표와 3차원 CT 영상과의 정합 과정을 거친다. 스테레오 비전 영상에서 3가지 얼굴 특징점 추출 방법과 3가지 정합 방법을 사용하여 생성될 수 있는 5가지 조합 중 정합 정확도가 가장 높은 방법을 평가한다. 또한 머리의 회전에 따라 환자 영상 간 정합의 정확도를 비교한다. 실험을 통해 머리의 회전 각도가 약 20도의 범위 내에서 Active Appearance Model과 Pseudo Inverse Matching을 사용한 정합의 정확도가 가장 높았으며, 각도가 20도 이상일 경우 Speeded Up Robust Features와 Iterative Closest Point를 사용하였을 때 정합 정확도가 높았다. 이 결과를 통해 회전각도가 20도 범위 내에서는 Active Appearance Model과 Pseudo Inverse Matching 방법을 사용하고, 20도 이상의 경우 Speeded Up Robust Features와 Iterative Closest Point를 이용하는 것이 정합의 오차를 줄일 수 있다.

암 등록사업의 현황과 추진방향 (Cancer Registration in Korea: The Present and Furtherance)

  • 안윤옥
    • Journal of Preventive Medicine and Public Health
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    • 제40권4호
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    • pp.265-272
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    • 2007
  • It was not until 1975 that cancer registration was initiated in Korea; voluntary registration of cancer patients of training hospitals throughout the country began under the auspices of the Korean Cancer Society(KCS). However, an official cancer registration, the Korea Central Cancer Registry(KCCR), began on July 1st, 1980. Forty-five training and two non-training hospitals throughout the country initiated registration of patients in whom neoplasms had been found. Data related to case information specified are to be sent to the KCCR at the National Medical Center(it moved at National Cancer Center in 2000). The initial cancer registration of KCS was merged to the KCCR in 1980. Although the KCCR covers most all the large training hospitals in Korea, it cannot provide incidence data. It is, however, the only of its kind in the world, being neither hospital nor population based. The first population based cancer registry(PBCR) was launched in a small county, Kangwha(it has around 80,000 inhabitants), by Yonsei University Medical College in 1983. All data were collected by active methods, and incidence statistics for 1986-1992 appeared in Vol VII of the CI5. Another PBCR, Seoul Cancer Registry(SCR), started in 1991. It was supported by a civilian foundation, the Korean Foundation for Cancer Research. The basic idea of case registration of SCR was the incorporation of KCCR data to PBCR, e. g. dual sources of case registration, i.e., from the KCCR and also including cases diagnosed in small hospitals and other medical facilities. Assessing completeness and validity of case registration of SCR, the program and methodology used by the SCR was later extended to other large cities and areas in Korea, and the PBCR in each area was established. Cancer incidence statistics of Seoul for 1993-1997, Busan for 1996-1997, and Daegu for 1997-1998, as well as Kangwha for 1993-1997, appeared eventually in Vol VIII of the CI5. The Korean or 'pillar' model for a PBCR is a new one. The KCCR data file is a reliable basis, as a pillar, for a PBCR in each area. The main framework of the model for such a registry is the incorporation of a KCCR data file with data from additionally surveyed cases; the data related to cancer deaths, medical insurance claims, and visit-and surveillance of non-KCCR medical facilities. Cancer registration has been adopted as a national cancer control program by Korean government in 2004 as the Anti-Cancer Act was enacted. Since then, some officers have tried to launch a nation-wide PBCR covering whole country. In the meantime, however, cancer registration was interrupted and discontinued for years due to the Privacy Protection Law, which was solved by an amendment of the Anti-Cancer Act in 2006. It would be premature to establish the nation-wide PBCR in Korea. Instead, continuous efforts to improve the completeness of registration of the KCCR, to progress existing PBCRs, and to expand PBCRs over other areas are still to be devoted. The nation-wide PBCR in Korea will be established eventually with summation of the PBCRs of the Korean model.

화평법에 따른 급성 수생독성 예측을 위한 QSAR 모델의 활용 가능성 연구 (Applicability of QSAR Models for Acute Aquatic Toxicity under the Act on Registration, Evaluation, etc. of Chemicals in the Republic of Korea)

  • 강동진;장석원;이시원;이재현;이상희;김필제;정현미;성창호
    • 한국환경보건학회지
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    • 제48권3호
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    • pp.159-166
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    • 2022
  • Background: A quantitative structure-activity relationship (QSAR) model was adopted in the Registration, Evaluation, Authorization, and Restriction of Chemicals (REACH, EU) regulations as well as the Act on Registration, Evaluation, etc. of Chemicals (AREC, Republic of Korea). It has been previously used in the registration of chemicals. Objectives: In this study, we investigated the correlation between the predicted data provided by three prediction programs using a QSAR model and actual experimental results (acute fish, daphnia magna toxicity). Through this approach, we aimed to effectively conjecture on the performance and determine the most applicable programs when designating toxic substances through the AREC. Methods: Chemicals that had been registered and evaluated in the Toxic Chemicals Control Act (TCCA, Republic of Korea) were selected for this study. Two prediction programs developed and operated by the U.S. EPA - the Ecological Structure-Activity Relationship (ECOSAR) and Toxicity Estimation Software Tool (T.E.S.T.) models - were utilized along with the TOPKAT (Toxicity Prediction by Komputer Assisted Technology) commercial program. The applicability of these three programs was evaluated according to three parameters: accuracy, sensitivity, and specificity. Results: The prediction analysis on fish and daphnia magna in the three programs showed that the TOPKAT program had better sensitivity than the others. Conclusions: Although the predictive performance of the TOPKAT program when using a single predictive program was found to perform well in toxic substance designation, using a single program involves many restrictions. It is necessary to validate the reliability of predictions by utilizing multiple methods when applying the prediction program to the regulation of chemicals.

인체 공동 내부 수술용 로봇을 위한 이미지 레지스트레이션 방법 (Medical Image Registration Methods for Intra-Cavity Surgical Robots)

  • 안재범;이상윤
    • 한국정밀공학회지
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    • 제24권9호
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    • pp.140-147
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    • 2007
  • As the use of robots in surgeries becomes more frequent, the registration of medical devices based on images becomes more important. This paper presents two numerical algorithms for the registration of cross-sectional medical images such as CT (Computerized Tomography) or MRI (Magnetic Resonance Imaging) by using the geometrical information from helix or line fiducials. Both registration algorithms are designed to be used for a surgical robot that works inside a cavity of human body. This paper also reports details about the fiducial pattern that includes four helices and one line. The algorithms and the fiducial pattern were tested in various computer-simulated situations, and the results showed excellent overall registration accuracy.

영상의 영역 분할과 이중선형 보간행렬을 이용한 멀티모달 의료 영상의 정합 (Multimodal Medical Image Registration based on Image Sub-division and Bi-linear Transformation Interpolation)

  • 김양욱;박준
    • 대한의용생체공학회:의공학회지
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    • 제30권1호
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    • pp.34-40
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    • 2009
  • Transforms including translation and rotation are required for registering two or more images. In medical applications, different registration methods have been applied depending on the structures: for rigid bodies such as bone structures, affine transformation was widely used. In most previous research, a single transform was used for registering the whole images, which resulted in low registration accuracy especially when the degree of deformation was high between two images. In this paper, a novel registration method is introduced which is based image sub-division and bilinear interpolation of transformations. The proposed method enhanced the registration accuracy by 40% comparing with Trimmed ICP for registering color and MRI images.

그래프에 기반한 전역적 정합 방법 (Graph-Based framework for Global Registration)

  • 김현우;홍기상
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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    • pp.671-674
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    • 2000
  • In this paper, we present a robust global registration algorithm for multi-frame image mosaics. When we perform a pair-wise registration recovering a projective transformation between two consecutive frames, severe mis-registration among multiple frames, which are not consecutive, can be detected. It is because the concatenation of those pair-wise transformations leads to global alignment errors. To overcome those mis-registrations, we propose a new algorithm using multiple frames for constructing image mosaics. We use a graph to represent the temporal and spatial connectivity and show that global registration can be obtained through the search for an optimal path in the constructed graph. The definition of an adequate objective function characterizing the global registration provides a direct manipulation of the graph. In the presence of moving objects, especially large ones compared with low texture backgrounds, by using the likelihood ratio as the objective function, we can deal with some of the most challenging videos like basketball or soccer Moreover, the algorithm can be parallelized so it can be more efficiently implemented. Finally, we give some experimental results from real videos.

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이동통신망에서 영역기준 위치등록 방법의 개선 및 성능평가 (Improvement and Performance Evaluation of Zone-based Registration in Mobile Communication Network)

  • 박진원
    • 대한산업공학회지
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    • 제34권2호
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    • pp.172-180
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    • 2008
  • Many strategies have been proposed to reduce mobility management cost. Among them, in this paper, we study three schemes of zone-based registrationthat have been adopted by most of mobile systems. These special schemes are referred to as the single-zone-based registration (SZR), the two-zone-based registration (TZR) and the two-zone-based registration with outgoing call (TZRC) respectively. We propose a mathematical model to evaluate the performance of TZRC in order to compare with those of SZR and TZR. Numerical results show that TZRC outperforms not only SZR but also TZR in most cases.

거리맵을 이용한 3차원 얼굴 스캔 데이터와 CBCT 데이터의 정확한 정합 기법 (Accurate Registration Method of 3D Facial Scan Data and CBCT Data using Distance Map)

  • 이정진
    • 한국멀티미디어학회논문지
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    • 제18권10호
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    • pp.1157-1163
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    • 2015
  • In this paper, we propose a registration method of 3d facial scan data and CBCT data using voxelization and distance map. First, two data sets are initially aligned by exploiting the voxelization of 3D facial scan data and the information of the center of mass. Second, a skin surface is extracted from 3D CBCT data by segmenting air and skin regions. Third, the positional and rotational differences between two images are accurately aligned by performing the rigid registration for the distance minimization of two skin surfaces. Experimental results showed that proposed registration method correctly aligned 3D facial scan data and CBCT data for ten patients. Our registration method might give useful clinical information for the oral surgery planning and the diagnosis of the treatment effects after an oral surgery.