• 한국조경학회지
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• 제27권4호
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• pp.137-142
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• 1999

The purpose of this study is to develope a CAD-based tool for rasterization of polygonal vector map in AutoCAD. To identity the layer property of polygonal entity with user-defined coordinates as topology, algorithm in processing entity data of selection set that intersected with scan line was used, and the layers were extracted sequentially by sorted intersecting points in data-list. In addition to the functions for querying and modifying topology, two options for mapping were set up to construct plan projection type and to change meshes' properties in existing DTM data. In case of plan projection type, user-defined cell size of 3DFACE mesh is available for more detailed edge, and topological draping on landform can be executed in case of referring DTM data as an AutoCAD's drawing. The concept of algorithm was simple and clear, but some unexpectable errors were found in detecting intersected coordinates that were AutoCAD's error, not the utility's. Also, the routines to check these errors were included in algorithmic processing. Developed utility named MESHMAP was written in entity data control functions of AutoLISP language and dialog control language(DCL) for the purpose of user-oriented interactive usage. MESHMAP was proved to be more effective in data handling and time comparing with GRIDMAP module in LANDCADD which has similar function.

• Journal of Information Processing Systems
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• 제5권1호
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• pp.5-10
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• 2009

Text data has always accounted for a major portion of the world's information. As the volume of information increases exponentially, the portion of text data also increases significantly. Text classification is therefore still an important area of research. LDA is an updated, probabilistic model which has been used in many applications in many other fields. As regards text data, LDA also has many applications, which has been applied various enhancements. However, it seems that no applications take care of the input for LDA. In this paper, we suggest a way to map the input space to a reduced space, which may avoid the unreliability, ambiguity and redundancy of individual terms as descriptors. The purpose of this paper is to show that LDA can be perfectly performed in a "clean and clear" space. Experiments are conducted on 20 News Groups data sets. The results show that the proposed method can boost the classification results when the appropriate choice of rank of the reduced space is determined.

• 한국지리정보학회지
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• 제11권4호
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• pp.172-181
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• 2008

건축물의 수명은 생명체처럼 유한적이기 때문에 지속적으로 철거와 신축을 반복한다. 그러나 수명에 대한 물리적 기준이 주관적이며 추상적이기 때문에 국가의 정책결정에 좌우되어 왔다고 해도 과언이 아니다. 이러한 문제를 해결하고자 건축물의 노후정도에 관한 명확한 자료를 구축 후 그에 따른 의사결정 의 필요성이 지속적으로 대두되었다. 이러한 배경하에 본 연구에서는 부산광역시의 14개구 214개의 행정동을 대상으로 노후건축물 의 DB구축하고 그에 따른 활용방안을 제시하고자 하였다. 본 연구에서 도출된 개선방안을 요약하면 다음과 같다. 첫째, 지식정보격차 완화를 위한 기초자료를 제공하였다. 둘째, 부산광역시의 노후 불량건축물의 세부적인 내용과 산출결과를 제시하여 조례제정을 위한 자료를 마련하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1998년도 Proceedings of International Symposium on Remote Sensing
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• pp.128-133
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• 1998

To assess the flood damages and to provide necessary information for preventing future catastrophe, it is necessary to appraise the inundated area with more accurate and rapid manner. This study attempts to evaluate the potential of satellite synthetic aperture radar (SAR) data for mapping of flood inundated area in southern part of Korea. JERS L-band SAR data obtained during the summer of 1997 were used to delineate the inundated areas. In addition, Landsat TM data were also used for analyzing the land cover condition before the flooding. Once the two data sets were co-registered, each data was separately classified. The water surface areas extracted from the SAR data and the land cover map generated using the TM data were overlaid to determine the flood inundated areas. Although manual interpretation of water surfaces from the SAR image seems rather simple, the computer classification of water body requires clear understanding of radar backscattering behavior on the earth's surfaces. It was found that some surface features, such as rice fields, runaway, and tidal flat, have very similar radar backscatter to water surface. Even though satellite SAR data have a great advantage over optical remote sensor data for obtaining imagery on time and would provide valuable information to analyze flood, it should be cautious to separate the exact areas of flood inundation from the similar features.

• 한국도로학회논문집
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• 제15권1호
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• pp.155-161
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• 2013

PURPOSES: This study is to develop a road traffic sign recognition and automatic positioning for road facility management. METHODS: In this study, we installed the GPS, IMU, DMI, camera, laser sensor on the van and surveyed the car position, fore-sight image, point cloud of traffic signs. To insert automatic position of traffic sign, the automatic traffic sign recognition S/W developed and it can log the traffic sign type and approximate position, this study suggests a methodology to transform the laser point-cloud to the map coordinate system with the 3D axis rotation algorithm. RESULTS: Result show that on a clear day, traffic sign recognition ratio is 92.98%, and on cloudy day recognition ratio is 80.58%. To insert exact traffic sign position. This study examined the point difference with the road surveying results. The result RMSE is 0.227m and average is 1.51m which is the GPS positioning error. Including these error we can insert the traffic sign position within 1.51m CONCLUSIONS: As a result of this study, we can automatically survey the traffic sign type, position data of the traffic sign position error and analysis the road safety, speed limit consistency, which can be used in traffic sign DB.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.77-86
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• 2022

The destructive impact of contagious diseases outbreaks on all life facets necessitates developing effective solutions to control these diseases outbreaks. This research proposes an end-to-end, data-driven platform which consists of multiple modules that are working in harmony to achieve a concrete goal: early detection of contagious diseases outbreaks (i.e., epidemic diseases detection). Achieving that goal enables decision makers and people in power to act promptly, resulting in robust prevention management of contagious diseases. It must be clear that the goal of this proposed platform is not to predict or forecast the spread of contagious diseases, rather, its goal is to promptly detect contagious diseases outbreaks as they happen. The front end of the proposed platform is a web-based dashboard that visualizes diseases outbreaks in real-time on a real map. These outbreaks are detected via another component of the platform which utilizes data mining techniques and algorithms on gathered datasets. Those gathered datasets are managed by yet another component. Specifically, a mobile application will be the main source of data to the platform. Being a vital component of the platform, the datasets are managed by a DBMS that is specifically tailored for this platform. Preliminary results are presented to showcase the performance of a prototype of the proposed platform.

• Applied Microscopy
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• 제50권
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• pp.23.1-23.9
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• 2020

We propose an effective deep learning model to denoise scanning transmission electron microscopy (STEM) image series, named Noise2Atom, to map images from a source domain 𝓢 to a target domain 𝓒, where 𝓢 is for our noisy experimental dataset, and 𝓒 is for the desired clear atomic images. Noise2Atom uses two external networks to apply additional constraints from the domain knowledge. This model requires no signal prior, no noise model estimation, and no paired training images. The only assumption is that the inputs are acquired with identical experimental configurations. To evaluate the restoration performance of our model, as it is impossible to obtain ground truth for our experimental dataset, we propose consecutive structural similarity (CSS) for image quality assessment, based on the fact that the structures remain much the same as the previous frame(s) within small scan intervals. We demonstrate the superiority of our model by providing evaluation in terms of CSS and visual quality on different experimental datasets.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.5-5
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• 2022

A little more than a decade ago, the International Rice Research Institute (IRRI) started on a journey of revitalization through adopting the concept of systems research. Instead of being just a rice breeding and affiliated sciences research center, it expanded its vision of impact on the rice-based food systems. In almost the same vein the OneCGIAR has also attempted to aggregate the commodity-based research into food systems-based research that critically caters to specific overarching 'Impact and Action Areas'. Incidentally, IRRI's structure and operations map on to these Impact and Action areas very well. Hence, IRRI's research directly caters to societal, economic and environmental sustainability. It does so through a coherent pipeline that spans the upstream discovery component all the way to product delivery, dissemination, and impact assessment. While a circular 5D-pipeline of demand, discovery, development, deployment and distinction attend to the ground-level realities of demand, development and acceptance of a product, the Four Flagships attend to proximal deliverables under challenging conditions of change brought about by the CGIAR restructuring and COVID-19. Prioritizing specific products under the flagships ensures that institutional support is available to fast-track the deliverables. Clear examples now highlight the potential of such approaches. Thus, despite the challenges of climate change, political unrest of war and global medical encumbrances, the stable partners of IRRI like Korea have helped to come close to deliverables.

• 한국축산식품학회지
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• 제31권5호
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• pp.731-740
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• 2011

토종닭과 육계를 원료육으로 제조한 춘천닭갈비의 품질을 비교하고, 토종닭을 기존 육계의 대체육으로 사용 가능한지를 구명하기 위해 본 실험을 실시하였다. 토종닭은 국립축산과학원이 복원한 엘림농장의 110일령의 우리맛닭 및 (주)하림에서 사육한 70일령의 한협 3호를 이용하였고, 육계는 38일령의 대형 육계(18호) 및 31일령의 소형 육계(16호)를 사용하였다. 품종별 발골한 정육 조각에 닭갈비 양념을 3:1로 혼합하여 함기포장 및 가스조절포장(30% $CO_2$/70% $N_2$-MAP)을 실시하여 $5^{\circ}C$에서 10일간 저장하면서 상호 품질을 비교하였다. 토종닭군은 육계군에 비해 pH는 낮고 가열감량은 높았다(p<0.05). 전단력은 우리맛닭, 한협 3호순으로 토종닭군이 육계군보다 높았다(p<0.05). 다리육의 지방산 분포를 보면, 우리맛닭이 다른 품종에 비해 myristic acid(C14:0), palmitic acid(C16:0), stearic acid (C18:0) 및 포화지방산(SFA)이 높았던 반면, linoleic acid (C18:2n6), linolenic acid(C18:3n3), 불포화지방산(UFA)이 낮았다(p<0.05). n6/n3 지방산 비율은 우리맛닭의 19.24와 한협 3호의 16.77로 육계의 14.02와 14.77보다 높았다(p<0.05). 닭갈비의 관능검사에서 맛과 향은 차이가 없었으나, 조직감과 종합기호도에서 토종닭군이 육계군보다 낮았다. 닭갈비를 가스조절포장으로 저장했을 때 원료육에 따른 품질 차이가 없었지만, 함기포장에 비해 pH가 높고 지방산화(TBARS) 및 휘발성 염기태 질소(VBN)가 낮았기 때문에 저장성이 증대되는 것으로 나타났다. 따라서 토종 닭으로 제조한 춘천닭갈비가 품질과 건강적인 측면에서 기존의 육계보다 상대적으로 불리하다고 판단된다.

• 생태와환경
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• 제46권1호
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• pp.33-40
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• 2013

본 연구는 2012년 3월부터 2013년 1월까지 국립공원 자원모니터링 기본조사 자료의 활용성을 높이고 국립공원 관리의 효율성을 향상시키기 위한 고축척 식생전자지도 필요성에 따라 1/5,000 축척의 생태자연도 정밀화 사업의 일환으로 수행되어졌다. 식생조사의 정확성 및 신속성을 위하여 식생조사용 DB를 활엽수림, 침엽수림, 혼효림, 암벽식생, 기타식생으로 분류한 후 식생조사용 식생도를 제작하여 현지조사에 사용하였다. 식생조사식용 DB 구축 결과와 식생조사 결과를 반영한 식생도 구축 결과는 활엽수림이 77.20%, 78.45%로 거의 같았으며, 침엽수림 (16.70%, 13.41%), 혼효림 (9.50%, 7.49%), 암벽식생(0.60%, 0.15%) 분포비율의 차이가 크지 않았다. 식생조사 결과가 반영된 정밀식생도 중 식생 상관 대분류에서 나타난 식생유형은 산지낙엽활엽수림이 전체의 65.78%를 차지하고 있어 가장 넓은 분포역을 나타내고 있었으며, 산지습성림(15.17%), 산지침엽수림(10.90%), 식재림(7.00%) 순으로 분포비율이 높았다. 특히 수령이 50년 이상의 장령림, 극상림, 특이식생, 아고산대식생 등 매우 양호한 식생유형을 보이는 식생보전등급 I등급 지역의 비율이 약 20% 비율로 분포하고 있는것은 덕유산의 삼림식생이 매우 안정적이고 다양하다는 것을 암시한다. 결론적으로 현재 우리나라 17개 육상국립공원에 대한 식생연구는 식물군락과 관련된 조사는 비교적 상세하게 연구되어 왔으나 식생도 관련 연구는 매우 미흡한 실정이다. 이러한 이유는 현존식생에 대한 식생도는 1 : 25,000의 소축적 지형도에 주로 의존하여 조사가 이루어져 왔기 때문에 식물군락의 경계가 불확실하여 식생도에 대한 신뢰성이 높지 않았을 뿐만 아니라 식생조사용 식생도를 제작하지 않고 임상도, 항공사진 등을 참고하여 조사가 이뤄져왔기 때문이다. 본 연구는 이러한 경계불확실성을 최소화하기 위해 고해상도 영상자료 등 많은 자료를 참고하여 식생조사용 식생도면을 제작한 후 덕유산내에 분포하는 식생의 상관식생도면 및 식생보전가치평가도면을 작성하였다. 따라서 기존에 발표되었던 덕유산 식생도 관련 연구(Kim, 1991; Korea National Park Service, 2004)에 비해 크게 보완 향상된 결과를 도출하였다.