• 천문학논총
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• 제13권1호
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• pp.149-166
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• 1998

The structure and environments of the molecular clouds near the SNR $HB3(G132.7\pm1.3)$ are studied. The molecular complex which is located at the southern rim of HB3 was proposed by former investigators as the one interacting with HB3. This complex region of $2^{\circ}\times2^{\circ}\;at\;l=133^{\circ}$ has been observed at $^{12}CO,\;^{13}CO,\;J=1-0\;at\;a\;1'$, resolution with the 14-m radio telescope at Taeduk Radio Astronomy Observatory. We have reached to the following four conclusions. The possibility that these molecular complex and HB3 are interacting with each other cannot be supported with any of our data. The morphologies of the two show no similarities. Neither particular features for the interaction are found in the CO lines. The hypothetical 'Molecular wall' which was expected to exist on the northwestern rim of HB3 as a cause for the noncircular morphology of HB3 is turned out to be nonexistent in CO. The molecular complex which resembles a 'bar' at a low resolution is now resolved into a U-shaped shell. It seems that the U-shape is consist of two independent components. No peculiarities, such as unseen masses or bright stars capable of forming HlI regions, are found within the U-shape region. The total mass included in the complex is estimated to be $M_{total}\;=\;2.9\~8.4\times10^5\;M_\bigodot$, which is in good agreement with previous observations within errors. Considering about 12 clumps distinguishable within the complex, the total mass implies that masses of each of clumps are on the order of $10^4\;M_\bigodot$, which makes these good objects for further studies in relation to star-formation. Especially the clumps associated with W3 are worthy for more high resolution observations for better understanding of astrophysical phenomenon ongoing in them.

• 인터넷정보학회논문지
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• 제7권5호
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• pp.135-145
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• 2006

본 논문에서는 지능로봇에 활용될 수 있는 3차원 환경과 석기에 포함된 물체의 실시간 인식을 위한 새로운 접근 방법을 제안한다. 본 논문에서는 먼저 사람이 환경을 인식하고 상호작용하는 데 사용하는 3 가지 기본 원칙을 설정하고, 이 기본 원칙들을 이용하여 실시간 3차원 환경 및 물체 인식을 위한 통합된 방법을 제시한다. 이들 3가지 기본 원칙은 다음과 같다. 첫째, 전역적인 평면 특징들을 인식함으로써 작업환경의 기하적 구조에 대한 개략적 특성화를 고속으로 진행한다. 둘째, 작업환경 속에서 기존에 알려진 물체를 먼저 빠르게 인식하고 이를 데이터베이스 내에 저장되어 있는 물체의 모델로 교체한다. 셋째, 다중 해상도 Octree표현 방법을 이용하여 기타 영역을 주어진 작업의 필요에 따라 적응적으로 실시간으로 모델링 한다. 본 논문에서는 3차원 SIFT로 언급되는 3차원 좌표를 가지는 SiFT특징들을 3차원 좌표정보와 함께 확장하여 사용함으로서 전역적 평면 특징의 빠른 추출, 고속의 물체 인식, 빠른 장면 정합 등의 기능에 활용하고 이와 동시에 스테레오 카메라로부터 입력되는 3차원 좌표의 잡음과 불완전성을 극복한다. 실험 결과에서는 본 논문에서 제안하는 지능형로봇의 조작 작업을 위한 실시간의 행위 중심의 3차원 환경모델링의 가능성을 보여준다.

• 대한원격탐사학회지
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• 제16권1호
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• pp.55-64
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• 2000

열대 강우 관측 위성(TRMM: Tropical Rainfall Measuring Mission)에서 관측된 자료가 한반도에서 발생한 호우 특성을 얼마나 잘 나타내 주는지를 알아보기 위하여 1998년과 1999년 여름철 호우 사례에 대해 분석하였다. 본 연구에서는 먼저 집중 호우를 동반한 비 구름대의 높이, 강수형태, 비 구름의 수직 분포 및 수평 단면도 상의 강우 분포를 조사하였으며, TRMM/PR 관측 강우 강도와 지상에서 관측된 자동기상관측 장비(AWS: Automatic Weather System)에서 관측된 값을 비교하였다. GMS-5 IR1과 AWS 지상관측 자료와 비교해 볼 때, TRMM/PR 관측자료는 기존의 자료로는 알 수 없는 강수 형태, 비 구름대의 높이 등에 대한 정보를 쉽게 제공해 주었으며 특히 비 구름대 내부에서의 강우강도 분포와 연직 발달 정도를 잘 묘사했다. 또한 위도-경도별 강우강도의 단면분포에서는 지형 효과에 의한 강우 특성도 알 수 있었다. TRMM/PR 관측 강우강도 값은 AWS 관측치에 비해 6 mm/hr 이하에서 더 많이 관측되었으며, 전체적으로는 지상 관측에 비해 적게 관측되는 경향을 보였다.

• 한국컴퓨터정보학회논문지
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• 제11권3호
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• pp.31-39
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• 2006

본 논문에서는 지능로봇. 지능형자동차. 지능형빌딩 등에 다양하게 활용될 수 있는 3차원 환경과 여기에 포함된 물체의 실시간 인식을 위한 새로운 접근 방법을 제안한다. 본 논문에서는 먼저 사람이 환경을 인식하고 상호작용하는 데 사용하는 3가지 기본 원칙을 설정하고, 이 기본 원칙들을 이용하여 실시간 3차원 환경 및 물체 인식을 위한 통합된 방법을 제시한다. 이들 3가지 기본 원칙은 다음과 같다. 첫째, 전역 적인 평면 특징들을 인식함으로써 작업환경의 기하학적 구조에 대한 개략적 특성화를 고속으로 진행한다. 둘째, 작업환경 속에서 기존에 알려진 물체를 먼저 빠르게 인식하고 이를 데이터베이스 내에 저장되어 있는 물체의 모델로 교체한다. 셋째, 다중 해상도 Octree 표현 방법을 이용하여 기타 영역을 주어진 작업의 필요에 따라 적응적으로 실시간 모델링 한다. 본 논문에서는 3차원 SIFT로 언급되는 3차원 좌표를 가지는 SIFT특징들을 3차원 좌표정보와 함께 확장하여 사용함으로서 전역적 평면 특징의 빠른 추출, 고속의 물체 인식, 빠른 장면 정합 등의 기능에 활용하고 이와 동시에 스테레오 카메라로부터 입력되는 3차원 좌표의 잡음과 불완전성을 극복한다.

• 대기
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• 제31권4호
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• pp.461-472
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• 2021

Yeongdong has frequently suffered from severe snowstorms, which generally give rise to societal and economic damages to the region in winter. In order to understand its mechanism, there has been a long-term measurement campaign, based on the rawinsonde measurements for every snowfall event at Gangneung since 2014. The previous observations showed that a typical heavy snowfall is generally accompanied with northerly or northeasterly flow below the snow clouds, generated by cold air outbreak over the relatively warmer East Sea. An intensive and multi-institutional measurement campaign has been launched in 2019 mainly in collaboration with Gangwon Regional Office of Meteorology and National Institute of Meteorological Studies of Korean Meteorological Administration, with a special emphasis on winter snowfall and spring windstorm altogether. The experiment spanned largely from February to April with comprehensive measurements of frequent rawinsonde measurements at a super site (Gangneung) with continuous remote sensings of wind profiler, microwave radiometers and weather radar etc. Additional measurements were added to the campaign, such as aircraft dropsonde measurements and shipboard rawinsonde soundings. One of the fruitful outcomes is, so far, to identify a couple of cold air damming occurrences, featuring lowest temperature below 1 km, which hamper the convergence zone and snow clouds from penetrating inland, and eventually make it harder to forecast snowfall in terms of its location and timing. This kind of comprehensive observation campaign with continuous remote sensings and intensive additional measurement platforms should be conducted to understand various orographic precipitation in the complex terrain like Yeongdong.

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1445-1456
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• 2018

Environment perception and three-dimensional (3D) reconstruction tasks are used to provide unmanned ground vehicle (UGV) with driving awareness interfaces. The speed of obstacle segmentation and surrounding terrain reconstruction crucially influences decision making in UGVs. To increase the processing speed of environment information analysis, we develop a CPU-GPU hybrid system of automatic environment perception and 3D terrain reconstruction based on the integration of multiple sensors. The system consists of three functional modules, namely, multi-sensor data collection and pre-processing, environment perception, and 3D reconstruction. To integrate individual datasets collected from different sensors, the pre-processing function registers the sensed LiDAR (light detection and ranging) point clouds, video sequences, and motion information into a global terrain model after filtering redundant and noise data according to the redundancy removal principle. In the environment perception module, the registered discrete points are clustered into ground surface and individual objects by using a ground segmentation method and a connected component labeling algorithm. The estimated ground surface and non-ground objects indicate the terrain to be traversed and obstacles in the environment, thus creating driving awareness. The 3D reconstruction module calibrates the projection matrix between the mounted LiDAR and cameras to map the local point clouds onto the captured video images. Texture meshes and color particle models are used to reconstruct the ground surface and objects of the 3D terrain model, respectively. To accelerate the proposed system, we apply the GPU parallel computation method to implement the applied computer graphics and image processing algorithms in parallel.

• Bulletin of the Korean Chemical Society
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• 제26권12호
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• pp.1953-1961
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• 2005

We have performed high-level quantum mechanical calculation for multiple proton transfer in HOCl + HCl and $H_2O$ + $ClONO_2$ on water clusters, which can be used as a model of the reactions on ice surface in stratospheric clouds. Multiple proton transfer on ice surface plays crucial role in these reactions. The structures of the clusters with 0-3 water molecules and the transition state structures for the multiple proton transfer have been calculated. The energies and barrier heights of the proton transfer were calculated at various levels of theory including multi-coefficient correlated quantum mechanical methods (MCCM) that have recently been developed. The transition state structures and the predicted reaction mechanism depend very much on the level of theory. In particular, the HF level can not correctly predict the TS structure and barrier heights, so the electron correlation should be considered appropriately.

• 천문학회보
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• 제36권1호
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• pp.48.2-48.2
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• 2011

Using the newly commissioned Fiber-Multi-Object-Spectrograph at the Subaru telescope, we obtained near-IR spectra of a sample of 19 AGNs at 0.6 < z < 2.6, selected from the NOAO Deep Wide-Field Survey (NDWFS) Bootes field, in order to calibrate high-z black hole mass (MBH) estimators. MBHs are generally determined through the kinematics of ionized gas clouds around the black hole assuming virial equilibrium. The velocity profiles of $H{\beta}/H{\alpha}$, MgII and CIV are used to infer the gas kinematics of low-z, mid-z, and high-z quasars, respectively. However, the MBH based on MgII and CIV is not very well calibrated. We compare the $H{\alpha}$ - based MBH estimates from the new FMOS near-IR spectra, with the MgII-based MBH estimates from our existing optical spectra, and investigate the systematic differences.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.257-259
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• 2003

Landuse maps are prepared from satellite imagery and field observations were conducted at various locations in the study area. Compared to the field data and NDVI and RVI thematic maps, NDVI is better than RVI, because it compensates for changing illumination conditions, surface slope, aspect and other factors. Clouds, water and snow have negative values for RVI and NDVI. Rock and bare soils have similar reflectance in both NIR and visible band, so RVI and NDVI are near zero. In forest areas with good vegetation cover, NDVI is high and landslide occurrence is less. But if annual and biennial vegetations are present and if cultivation practices are changed frequently, NDVI is medium and landslide occurrence is moderate. In areas where deforestation and settlement is in progress, NDVI is less and landslide occurrence is more. The NDVI FCC thematic map may be used as an important layer in GIS application for landslide studies. Analyzing other layers such as slope, rainfall, soil, geology, drainage, lineament, etc with NDVI FCC layer will give a better idea about the identity of landslide prone areas.

• 천문학회보
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• 제44권1호
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• pp.43.2-43.2
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• 2019

In many astrophysical systems, smooth large-scale variations coexist with small-scale fluctuations. For example, a large-scale velocity or density gradient can exist in molecular clouds that have small-scale fluctuations by turbulence. In redshifted 21cm observations, we also have two types of signals - the Galactic foreground emissions that change smoothly and the redshifted 21cm signals that fluctuate fast in frequency space. In many cases, the large-scale variations make it difficult to extract information on small-scale fluctuations. We propose a simple technique to remove smooth large-scale variations. Our technique relies on multi-point structure functions and can obtain the magnitudes of small-scale fluctuations. It can also be used to design filters that can remove large-scale variations and retrieve small-scale data. We discuss how to apply our technique to irregularly spaced data, such as rotation measure observations toward extragalactic radio point sources.