• 한국농공학회논문집
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• 제50권3호
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• pp.115-123
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• 2008

Evapotranspiration mapping using both meteorological ground-based measurements and satellite-derived information has been widely studied during the last few decades and various methods have been developed for this purpose. It is significant and necessary to estimate regional evapotranspiration (ET) distribution in the hydrology and water resource research. The study focused on analyzing the surface ET of Chungbuk region using Landsat 7 ETM imagery. For this process, we estimated the regional daily evapotranspiration on May 8, 2000. The estimation of surface evapotranspiration is based on the relationship between Temperature Vegetation Dryness Index (TVDI) and Morton's actual ET. TVDI is the relational expression between Normalized Difference of Vegetation Index (NDVI) and Land Surface Temperature (LST). The distribution of NDVI corresponds well with that of land-use/land cover in Chungbuk. The LST of several part of city in Chungbuk region is higher in comparison with the averaged LST. And TVDI corresponds too well with that of land cover/land use in Chungbuk region. The low evapotranspiration availability is distinguished over the large city like Cheongju-si, Chungju-si and the difference of evapotranspiration availability on forest and paddy is high.

• 천문학논총
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• 제25권1호
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• pp.23-28
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• 2010

We present results of a test-study of the large-scale survey using the multi-beam receiver system recently installed on the 14 m telescope at Taeduk Radio Astronomy Observatory (TRAO). We have tested several modes of mapping, and found suitable (time-saving) mapping parameters of 'ON-SOURCE' = 8, 'OFF-SOURCE' = 1 when using 'RPT' = 3 as a position-switching mode. We observed 504 spectra towards the NGC 7538, a star forming molecular cloud in the transition of J = 1 - 0 of $^{12}CO$. From the Outer Galaxy Survey database (Heyer et al., 1998) we obtained 504 spectra for the same region. We compared integrated intensities, line profiles of two databases, and found that they are consistent to each other. From the intensity ratio of these two databases we also found that the value of forward spillover scattering of the TRAO telescope system is 0.58.

• Smart Structures and Systems
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• 제22권2호
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• pp.201-207
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• 2018

This paper proposes a line laser thermography scanning (LLTS) system for multiple crack evaluation on a concrete structure, as the core technology for unmanned aerial vehicle-mounted crack inspection. The LLTS system consists of a line shape continuous-wave laser source, an infrared (IR) camera, a control computer and a scanning jig. The line laser generates thermal waves on a target concrete structure, and the IR camera simultaneously measures the corresponding thermal responses. By spatially scanning the LLTS system along a target concrete structure, multiple cracks even in a large scale concrete structure can be effectively visualized and evaluated. Since raw IR data obtained by scanning the LLTS system, however, includes timely- and spatially-varying IR images due to the limited field of view (FOV) of the LLTS system, a novel time-spatial-integrated (TSI) coordinate transform algorithm is developed for precise crack evaluation in a static condition. The proposed system has the following technical advantages: (1) the thermal wave propagation is effectively induced on a concrete structure with low thermal conductivity of approximately 0.8 W/m K; (2) the limited FOV issues can be solved by the TSI coordinate transform; and (3) multiple cracks are able to be visualized and evaluated by normalizing the responses based on phase mapping and spatial derivative processes. The proposed LLTS system is experimentally validated using a concrete specimen with various cracks. The experimental results reveal that the LLTS system successfully visualizes and evaluates multiple cracks without false alarms.

• Journal of Microbiology and Biotechnology
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• 제28권9호
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• pp.1517-1526
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• 2018

Investigating bacterial diversity and its metabolic capabilities is crucial for interpreting the ecological patterns in a desert environment and assessing the presence of exploitable microbial resources. In this study, we evaluated the spatial heterogeneity of physicochemical parameters, soil bacterial diversity and metabolic adaptation at meter scale. Soil samples were collected from two quadrats of a desert (Thar Desert, India) with a hot, arid climate, very little rainfall and extreme temperatures. Analysis of physico-chemical parameters and subsequent variance analysis (p-values < 0.05) revealed that sulfate, potassium and magnesium ions were the most variable between the quadrats. Microbial diversity of the two quadrats was studied using Illumina bar-coded sequencing by targeting V3-V4 regions of 16S rDNA. As for the results, 702504 high-quality sequence reads, assigned to 173 operational taxonomic units (OTUs) at species level, were examined. The most abundant phyla in both quadrats were Actinobacteria (38.72%), Proteobacteria (32.94%), and Acidobacteria (9.24%). At genus level, Gaiella represented highest prevalence, followed by Streptomyces, Solirubrobacter, Aciditerrimonas, Geminicoccus, Geodermatophilus, Microvirga, and Rubrobacter. Between the quadrats, significant difference (p-values < 0.05) was found in the abundance of Aciditerrimonas, Geodermatophilus, Geminicoccus, Ilumatobacter, Marmoricola, Nakamurella, and Solirubrobacter. Metabolic functional mapping revealed diverse biological activities, and was significantly correlated with physicochemical parameters. The results revealed spatial variation of ions, microbial abundance and functional attributes in the studied quadrats, and patchy nature in local scale. Interestingly, abundance of the biotechnologically important phylum Actinobacteria, with large proposition of unclassified species in the desert, suggested that this arid environment is a promising site for bioprospection.

• 한국측량학회지
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• 제24권5호
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• pp.443-451
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• 2006

DEM(Digital Elevation Model)은 그 용도가 매우 다양하여 토목, 군사, 통신, 환경, 국토계획 등의 분야에서 그 활용이 날로 증가하고 있다. LiDAR 측량이 다른 측량 기법에 비해 우수한 DEM 성과를 제시하고 있는 것으로 나타나고 있으나 수직 위치에 대한 정확도를 구체적으로 평가한 연구는 아직 부족한 편이다. 이에 본 연구에서는 LiDAR DEM에 대한 정확도를 평가하기 위하여 항공 LiDAR 측량을 통해 생성된 DEM을 기준으로 총 35점의 특이점을 선점하여 GPS 측량을 실시하였으며, 이를 바탕으로 LiDAR에 의하여 생성된 DEM과 현지 GPS 측량 성과와의 정확도 분석을 수행하여 정표고에 대한 $RMSE{\pm}0.109m$를 확보하였다. 이는 국토지리정보원에서 고시한 축척 1:500, 1:1,000 기준의 허용 오차 범위 이내의 값으로 대축척 DEM구축 분야에 항공 LiDAR측량이 매우 유용하게 활용될 수 있음을 제시한 것이며 LiDAR 관련 DEM 응용 분야에서의 기반 자료로 그 활용이 기대된다.

• 대한원격탐사학회지
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• 제30권5호
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• pp.617-625
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• 2014

가장 대표적인 범용센서모델인 다항식비례모형(Rational Function Model)은 물리적 센서모형의 정확도에 견줄 수 있는 특성으로 인하여 상업용 위성영상의 센서모델링 기법에서 가장 많이 쓰이고 있다. RPCs를 이용하여 인공위성 영상의 3차원 위치를 결정할 수 있지만, 대축척의 지형도 제작시 정확도 측면에서 한계를 가지고 있다. 본 연구에서는 QuickBird-2, 인공위성 영상을 이용하여 지상기준점의 수량, 분포 및 다항식비례모형의 차수에 따른 정확도 분석을 수행하였다. 그 결과 1:25,000 축척의 지형도 제작시 수평위치 및 표고 허용오차 범위에 포함 될 수 있는 가능성을 확인하였다.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2010년도 정기총회 및 추계학술발표회
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• pp.11-11
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• 2010

The Korean ginseng, Panax ginseng C. A. Meyer is a popular medicinal herb in Araliaceae. Genetic map in crops provides valuable information for breeding, genetic and genomic researches. However, little information is available for construction of genetic map in ginseng. Up to now, we have produced large amounts of expressed sequence tags (ESTs) from four ginseng cultivars (37Mb, 49Mb, 39Mb, 47Mb from Gopoong, Gumpoong, Chunpoong and Yunpoong respectively using pyrosequencing technique and 5Mb from normalized full-length cDNA library of Chunpoong) to obtain comprehensive information of gene expression, and constructed EST database including ESTs from public database. Till now, we designed 261 SSR primer sets using EST sequences and identified 106 intergenic polymorphic markers. And 44 of the 106 showed polymorphisms among panax ginseng cultivars. Among 44 markers, 27 SSR polymorphic markers were inspected to 51 $F_2$ population from Yunpoong x Chunpoong, which showed good at the fitness of Mendellian segregation ratio 1:2:1. To enrich the number of markers, and thus construct high resolution genetic map which can be used as frame map for further genome sequencing. we are planning to develop large scale EST-derived SNP markers which are available in the F2 population. This study provides genetic information as well as foundation for ginseng researches such as genetics, genomics, breeding, and the final goal for whole genome sequencing. This study was supported by Technology Development Program for Agriculture and Forestry, Ministry for Food, Agriculture, Forestry and Fisheries, Republic of Korea (Grant No. 609001-051SB210).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권8호
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• pp.3984-4005
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• 2017

Image recognition has become an increasingly important topic for its wide application. It is highly challenging when facing to large-scale database with large variance. The recognition systems rely on a key component, i.e. the low-level feature or the learned mid-level feature. The recognition performance can be potentially improved if the data distribution information is exploited using a more sophisticated way, which usually a function over hidden variable, model parameter and observed data. These methods are called generative score space. In this paper, we propose a discriminative extension for the existing generative score space methods, which exploits class label when deriving score functions for image recognition task. Specifically, we first extend the regular generative models to class conditional models over both observed variable and class label. Then, we derive the mid-level feature mapping from the extended models. At last, the derived feature mapping is embedded into a discriminative classifier for image recognition. The advantages of our proposed approach are two folds. First, the resulted methods take simple and intuitive forms which are weighted versions of existing methods, benefitting from the Bayesian inference of class label. Second, the probabilistic generative modeling allows us to exploit hidden information and is well adapt to data distribution. To validate the effectiveness of the proposed method, we cooperate our discriminative extension with three generative models for image recognition task. The experimental results validate the effectiveness of our proposed approach.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2006년도 학술대회 1부
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• pp.355-361
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• 2006

In large scale environments like airport, museum, large warehouse and department store, autonomous mobile robots will play an important role in security and surveillance tasks. Robotic security guards will give the surveyed information of large scale environments and communicate with human operator with that kind of data such as if there is an object or not and a window is open. Both for visualization of information and as human machine interface for remote control, a 3D model can give much more useful information than the typical 2D maps used in many robotic applications today. It is easier to understandable and makes user feel like being in a location of robot so that user could interact with robot more naturally in a remote circumstance and see structures such as windows and doors that cannot be seen in a 2D model. In this paper we present our simple and easy to use method to obtain a 3D textured model. For expression of reality, we need to integrate the 3D models and real scenes. Most of other cases of 3D modeling method consist of two data acquisition devices. One for getting a 3D model and another for obtaining realistic textures. In this case, the former device would be 2D laser range-finder and the latter device would be common camera. Our algorithm consists of building a measurement-based 2D metric map which is acquired by laser range-finder, texture acquisition/stitching and texture-mapping to corresponding 3D model. The algorithm is implemented with laser sensor for obtaining 2D/3D metric map and two cameras for gathering texture. Our geometric 3D model consists of planes that model the floor and walls. The geometry of the planes is extracted from the 2D metric map data. Textures for the floor and walls are generated from the images captured by two 1394 cameras which have wide Field of View angle. Image stitching and image cutting process is used to generate textured images for corresponding with a 3D model. The algorithm is applied to 2 cases which are corridor and space that has the four wall like room of building. The generated 3D map model of indoor environment is shown with VRML format and can be viewed in a web browser with a VRML plug-in. The proposed algorithm can be applied to 3D model-based remote surveillance system through WWW.

• 한국수자원학회논문집
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• 제51권6호
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• pp.481-490
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• 2018

최근 기후변화와 이상기후의 영향으로 인한 홍수재해의 시 공간적 패턴의 변화가 복잡해짐에 따라 홍수범람 예측은 점점 어려워지고 있다. 이러한 기상이변에 따른 홍수피해를 예방하고 대응하기 위한 비구조적 대책으로 홍수위험등급 및 범람범위 등의 정보를 포함하고 있는 홍수위험지도의 작성이 필요하다. 실제로 고정밀도 홍수위험지도를 작성하기 위해서는 1차적으로 지형, 지질, 토지피복, 기상 등의 자료를 기반으로 강우-유출-범람해석을 통해 침수면적 및 침수깊이 등 범람 정보를 획득해야 되며, 2차적으로 피해액 산정을 위해 사회 경제와 관련된 다양한 DB를 필요로 한다. 하지만 개발도상국에서는 이러한 자료가 부족하고, 일부지역에서는 자료자체를 획득할 수가 없어 홍수위험지도 제작이 불가능하거나 그 정확도가 매우 낮은 실정이다. 본 연구에서는 ASTER 또는 SRTM과 같은 범용 지형자료로부터 주요 지형학적 인자를 선정하고, 선형이진분류법(Liner binary classifiers)과 ROC분석(Receiver Operation Characteristics)을 사용하여 실제 홍수유역을 유사하게 모의하는 최적 지형학적 인자를 도출하고, 이를 기반으로 광역 홍수범람지도를 작성하는 방안을 제시한다. 본 연구에서 제시하는 방법론의 정확도 검증을 위해 북한(2007), 방글라데시(2007), 인도네시아(2010), 태국(2011), 미얀마(2015) 5개국의 대규모 홍수범람에 대해 적용하였다. 실제 홍수범람 영상정보에서 획득된 침수면적과의 공간적 비교 검토 결과, 최저(38%, 방글라데시), 최고(78%)으로 평균적으로 약 60%의 정확도를 나타내는 것으로 분석되었다. 본 연구에서 제시하는 지형학적 인자 기반의 홍수범람지도 작성방법은 미계측유역에 대해서도 DEM만을 사용하여 홍수위험 지역을 쉽게 구분할 수 있다는 장점을 가지고 있어 1 2차원 범람해석 모형의 적용이 어려운 대유역에 대해 홍수범람 우려지역에 대한 공간정보를 제공해줄 수 있을 것으로 판단된다.