• 동굴
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• 제5호
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• pp.79-95
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• 1997

The main purpose of this article is to compare different mapping techniques, so that an appropriate one may be chosen for a particular cave. Ultra-accurate techniques such as using tripods are not discussed here, as their application is limited to a small minority of caves. Most modem mapping is carried out under time restraints, due to the shortness of an expedition or the difficulty of a cave; thus, rapid mapping techniques are emphasized here.(omitted)

• 대한공간정보학회지
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• 제22권1호
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• pp.71-79
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• 2014

많은 연구들은 저해상도 위성영상을 이용하여 불투수면을 생성하며, 광역적인 객체 단위의 불투수면을 생성하는 데에 효율적인 성과를 이루지 못하고 있는 실정이다. 본 논문에서는 RapidEye 위성영상을 활용한 객체 기반의 불투수면 생성 기법을 제안하였으며, 이를 실험지역에 적용하고자 하였다. 분광반사율로 변환된 RapidEye 위성영상을 활용하여 추가적인 밴드를 생성하였으며, 훈련자료를 이용하여 그림자 및 수계 클래스를 추출하였다. 해당 클래스를 제외한 나머지 클래스들은 환경부의 중분류 토지피복지도와 분광혼합분석 모델을 활용하여 피복단위의 불투수 비율 영상을 생성하였다. 참조자료와의 정량적 비교평가를 통하여 본 연구에서 적용한 불투수면 생성 방법의 효용성을 검증하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제14권4호
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• pp.587-596
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• 2001

In the last decade, rapid developments in molecular biotechnology and of genomic tools have enabled the creation of dense linkage maps across whole genomes of human, plant and animals. Successful development and implementation of interval mapping methodologies have allowed detection of the quantitative trait loci (QTL) responsible for economically important traits in experimental and commercial livestock populations. The candidate gene approach can be used in any general population with the availability of a large resource of candidate genes from the human or rodent genomes using comparative maps, and the validated candidate genes can be directly applied to commercial breeds. For the QTL detected from primary genome scans, two incipient fine mapping approaches are applied by generating new recombinants over several generations or utilizing historical recombinants with identity-by-descent (IBD) and linkage disequilibrium (LD) mapping. The high resolution definition of QTL position from fine mapping will allow the more efficient implementation of breeding programs such as marker-assisted selection (MAS) or marker-assisted introgression (MAI), and will provide a route toward cloning the QTL.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 추계학술대회 논문집
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• pp.45-46
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• 2012

• 전기학회논문지
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• 제65권12호
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• pp.2211-2217
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• 2016

The Locator/Identifier Separation Protocol (LISP) is a new routing architecture that implements a new semantic for IP addressing. It enables the separation of IP addresses into two new numbering spaces: Endpoint Identifiers (EIDs) and Routing Locators (RLOCs). This approach will solve the issue of rapid growth of the Internet's DFZ (default-free zone). In this paper, we propose an algorithm called the Propagated-Mode Mapping System to improve the map request process of LISP-DDT.

• Korean Journal of Radiology
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• 제24권3호
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• pp.247-258
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• 2023

Objective: To localize the neuroanatomical substrate of rapid eye movement sleep behavior disorder (RBD) and to investigate the neuroanatomical locational relationship between RBD and α-synucleinopathy neurodegenerative diseases. Materials and Methods: Using a systematic PubMed search, we identified 19 patients with lesions in different brain regions that caused RBD. First, lesion network mapping was applied to confirm whether the lesion locations causing RBD corresponded to a common brain network. Second, the literature-based RBD lesion network map was validated using neuroimaging findings and locations of brain pathologies at post-mortem in patients with idiopathic RBD (iRBD) who were identified by independent systematic literature search using PubMed. Finally, we assessed the locational relationship between the sites of pathological alterations at the preclinical stage in α-synucleinopathy neurodegenerative diseases and the brain network for RBD. Results: The lesion network mapping showed lesions causing RBD to be localized to a common brain network defined by connectivity to the pons (including the locus coeruleus, dorsal raphe nucleus, central superior nucleus, and ventrolateral periaqueductal gray), regardless of the lesion location. The positive regions in the pons were replicated by the neuroimaging findings in an independent group of patients with iRBD and it coincided with the reported pathological alterations at post-mortem in patients with iRBD. Furthermore, all brain pathological sites at preclinical stages (Braak stages 1-2) in Parkinson's disease (PD) and at brainstem Lewy body disease in dementia with Lewy bodies (DLB) were involved in the brain network identified for RBD. Conclusion: The brain network defined by connectivity to positive pons regions might be the regulatory network loop inducing RBD in humans. In addition, our results suggested that the underlying cause of high phenoconversion rate from iRBD to neurodegenerative α-synucleinopathy might be pathological changes in the preclinical stage of α-synucleinopathy located at the regulatory network loop of RBD.

• 한국지리정보학회지
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• 제15권4호
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• pp.1-14
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• 2012

하천은 육지 표면에서 일정한 물길을 따라 흐르는 물줄기를 의미하며, 하천 매핑 작업은 하천유역의 지형 변화 연구 및 하천 유역의 홍수 모니터링 연구 등에 매우 중요한 역할을 한다. 그러나 하천의 수위변화로 인한 유역 내 지표면의 수위 및 유량의 불균일성 등으로 인하여, 기존의 지반조사 기술은 하천 매핑 작업에 효과적이지 않다. 공간 정보 자료는 해당 지역에 접근하지 않고도 해당 지역에 관한 지형적인 정보를 획득할 수 있어서, 하천 지형 조사 및 하천 측량 등 하천 유역의 지형연구에 굉장히 유용하게 쓰일 수 있다. 본 연구에서는, 각각의 다른 파라미터를 사용하여 영상분류 기법 중의 하나인 ISODATA(Iterative Self_Organizing Data Analysis) 분류기법을 적용하여 RapidEye 영상으로부터 하천을 추출하는 방법을 제시하였다. 우선, RapidEye 영상으로부터 NIR(Near InfraRed) 밴드 영상과 NDVI(Normalized Difference Vegetation Index) 영상을 생성한 뒤, 이를 각각의 파라미터로 설정한다. 생성된 각각의 영상에 ISODATA 기법을 적용한 뒤, 후처리 과정을 통하여 각각의 영상으로부터 하천을 추출하도록 한다. 각각의 영상에서 추출한 하천의 경계선 또한 Sobel 에지 추출 기법을 통하여 추출된다. 점검 점들을 이용하여 정확도 검증을 수행한 결과, NIR 밴드로부터 추출한 하천의 정확도가 NDVI 영상으로부터 추출한 하천의 정확도보다 더 높다는 것을 알 수 있다.

• Journal of Cardiovascular Imaging
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• 제31권2호
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• pp.71-82
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• 2023

BACKGROUND: Cardiac magnetic resonance fingerprinting (cMRF) enables simultaneous mapping of myocardial T1 and T2 with very short acquisition times. Breathing maneuvers have been utilized as a vasoactive stress test to dynamically characterize myocardial tissue in vivo. We tested the feasibility of sequential, rapid cMRF acquisitions during breathing maneuvers to quantify myocardial T1 and T2 changes. METHODS: We measured T1 and T2 values using conventional T1 and T2-mapping techniques (modified look locker inversion [MOLLI] and T2-prepared balanced-steady state free precession), and a 15 heartbeat (15-hb) and rapid 5-hb cMRF sequence in a phantom and in 9 healthy volunteers. The cMRF_5-hb sequence was also used to dynamically assess T1 and T2 changes over the course of a vasoactive combined breathing maneuver. RESULTS: In healthy volunteers, the mean myocardial T1 of the different mapping methodologies were: MOLLI 1,224 ± 81 ms, cMRF_15-hb 1,359 ± 97 ms, and cMRF_5-hb 1,357 ± 76 ms. The mean myocardial T2 measured with the conventional mapping technique was 41.7 ± 6.7 ms, while for cMRF_15-hb 29.6 ± 5.8 ms and cMRF_5-hb 30.5 ± 5.8 ms. T2 was reduced with vasoconstriction (post-hyperventilation compared to a baseline resting state) (30.15 ± 1.53 ms vs. 27.99 ± 2.07 ms, p = 0.02), while T1 did not change with hyperventilation. During the vasodilatory breath-hold, no significant change of myocardial T1 and T2 was observed. CONCLUSIONS: cMRF_5-hb enables simultaneous mapping of myocardial T1 and T2, and may be used to track dynamic changes of myocardial T1 and T2 during vasoactive combined breathing maneuvers.

• 한국CDE학회논문집
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• 제9권3호
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• pp.266-275
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• 2004

In this paper, a method for generating the planar developments of three-dimensional shoe upper surfaces is proposed. This method is based on the optimization technique minimizing the geometric error occurred on the developed planar surface. Additionally, a rapid mapping algorithm to transform a curve on flattened plane to original surface (or vice versa) is proposed. These techniques are implemented on the 2D/3D integrated shoe design system. Using this system, a prototype running shoe can be designed more precisely and can be manufactured more quickly.

• 한국지형공간정보학회:학술대회논문집
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• 한국지형공간정보학회 2004년도 추계학술발표대회 논문집
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• pp.123-128
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• 2004

최근 디지털 카메라(Digital camera), 다중/고분광 영상(Mumltispectral/Hyperspectral image), LiDAR(Light Detection and Ranging), InSAR(Interferometric SAR)와 같이 지상을 보다 상세하고 높은 정확도로 지상을 매핑할 수 있는 센서들이 출현하고 있다. 이러한 다양한 정보 취득 자료를 충분히 활용하여 통합하기 위해서는 영상에 대하여 정확한 기하보정 또는 정사영상의 제작과 LiDAR 자료와 같은 경우 평면위치의 오차를 조정하여 다중자료들 간의 정확한 지형보정(Coregistration)이 필요하다. 본 연구에서는 AIR-MS 자료를 이용하여 즉, 항공기로부터 취득한 LiDAR(Height와 강도(Intensity) 자료), digital camera을 통합하고, 기존의 컬러항공사진 및 1:1000 수치지도를 이용하여 3D GIS 자료의 생성을 시도하였다.