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3D Modeling of Lacus Mortis Pit Crater with Presumed Interior Tube Structure
Ik-Seon Hong,Yu Yi,Jaehyung Yu,Junichi Haruyama 한국우주과학회 2015 Journal of Astronomy and Space Sciences Vol.32 No.2
When humans explore the Moon, lunar caves will be an ideal base to provide a shelter from the hazards of radiation, meteorite impact, and extreme diurnal temperature differences. In order to ascertain the existence of caves on the Moon, it is best to visit the Moon in person. The Google Lunar X Prize(GLXP) competition started recently to attempt lunar exploration missions. Ones of those groups competing, plan to land on a pit of Lacus Mortis and determine the existence of a cave inside this pit. In this pit, there is a ramp from the entrance down to the inside of the pit, which enables a rover to approach the inner region of the pit. In this study, under the assumption of the existence of a cave in this pit, a 3D model was developed based on the optical image data. Since this model simulates the actual terrain, the rendering of the model agrees well with the image data. Furthermore, the 3D printing of this model will enable more rigorous investigations and also could be used to publicize lunar exploration missions with ease.
JaeHyung Yu,Hwan-Ik Chung,Hernsoo Hahn 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
A multimodal information transformation system is proposed in this paper to provide sight impaired people with scene information of walking areas and obstacles. The scene information is first acquired as images using a single CCD camera, and then image information is transformed into voice information so that sight impaired people can obtain by hearing instead of seeing. During scene image processing period, the walking area is extracted by the vanishing point and boundary of a sidewalk on edge image using a chain-code line detection algorithm. And obstacles are detected by applying Gabor filter to the vertical lines extracted from the walking area on image. Later, based on the above image information, voice information is constructed in the form of pre-defined sentences by combining a set of template words that represent walking areas, obstacles, directions and distances. With the help of voice instructions provided by this multi-modal information transformation system, sight impaired people are able to reach their destinations safely and conveniently. The proposed algorithm has been implemented and tested in both indoor and outdoor environment, and its superiority in providing exact walking instructions has been verified.
Spatio-temporal Analysis of Crime Occurrence: the Case Study of Alice, Texas, USA
Yu Jaehyung,Kwon Tae Jung,Sung Yonghoon 한국방재학회 2017 한국방재학회논문집 Vol.17 No.2
본 연구는 범죄에 취약한 미국 텍사스주 알리스시를 대상으로 범죄 유형별 발생장소의 특성을 시공간적으로 분석함으로써 도시 범죄 장소와 관련된 시사점을 도출하고자 하였다. 핫스팟 분석 등 지리통계적 분석방법을 활용한 연구결과에 따르면 첫째, 사유지 침입과 관련된 범죄는 아침부터 자정시간대까지는 상업지역에서 집중적으로 발생하며 새벽에는 저소득층 히스패닉 주민이 밀집한 주거지역에서 빈발하였다. 둘째, 폭력범죄 발생은 다른 유형과 달리 전체 시간대에 걸쳐 고루 발생했으며 침입 범죄와 유사하게 아침부터 자정까지는 주로 상업지역에서, 새벽시간에는 취약계층이 밀집한 주거지역에서 빈발하였다. 마약과 관련된 범죄의 경우, 저녁과 새벽에 주로 발생했으며 주간에는 상업지역에서 야간에는 주거환경이 취약한 지역에서 주로 발생하는 것으로 나타났다. 이와 같은 연구결과는 저소득층과 취약계층이 각종 유형의 범죄에 불평등하게 노출되어 있음을 나타내는 객관적 자료로 활용될 수 있을 것으로 판단되며, 본 연구는 향후 토지이용 등 물리적 특성은 물론 지역 구성원의 사회경제적 특징을 고려한 국내 도시 범죄 핫스팟 분석 연구를 위한 방법론에 응용될 수 있을 것으로 판단된다. Various geostatistical models, including cluster and hot spot analyses, are employed to identify spatio-temporal characteristics of four types of crimes in Alica, Texas; property crime, violent crime, drug crime, and traffic events. The analytical findings show that 1) commercial areas and low income Hispanic residential areas are considered to be hot spots of property crimes, 2) the frequency of violent crimes does not show much variation with time periods as commercial and dilapidated residential areas proved to be hot spots, and 3) drug crimes mainly occur in low income residential areas during night time. These findings would provide evidence for any unequal exposure to urban crime of the socioeconomically disadvantaged, and the methodological approach of this study, including both physical and socio-economic properties of urban neighborhoods, would guide a future urban crime hot spot research in Korea.
Can we Quantify Heavy Metal Concentration in Soils by Taking a Picture?
( Jaehyung Yu ),( Yongsik Jeong ),( Ji Hye Shin ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Heavy metal contamination of soils cause serious secondary problems such as stream drainage and farm land contamination. Eventually, it may affect human health and ecological systems. Due to the secondary effects and seriousness of the issues, specific survey protocol is controlled by government agencies. The traditional soil survey methods require field sampling, sample processing, and geochemical analysis, which are labor and time intensive. Furthermore, the point-based sampling would have limitations understanding spatial distribution of contamination. Spectroscopic and remote sensing approaches could be an alternative option filling the gap of limitation. Spectroscopic analysis provides a basic knowledge to design case adaptive sensors as they provide experimental results with statistical validation. This study introduces experiment based spectroscopic analysis and prediction models for quantification of heavy metal concentration in soils. The experimental processes include chemical analysis, mineralogical analysis, and spectroscopic analysis. We figured out that high correlation between heavy metal contamination and spectral variables was found at the absorption features of specific minerals associated with geochemical reaction between clay mineral/Fe oxide and heavy metal ions. Finally, imaging approaches of heavy metal concentration in soils are tested employing hyperspectral scanner.
시각장애인의 길안내를 위한 정적-동적 영상정보의 음성변환 시스템
유재형(Jaehyung Yu),한영준(Youngjoon Han),한헌수(Hernsoo Hahn) 대한전자공학회 2007 대한전자공학회 학술대회 Vol.2007 No.11
This paper proposes the system that converts information included in an image to voice fur guiding blind people so that they may walk without any other support. For this purpose. this paper proposes the algorithms that estimates user’s position, existence and position of obstacle on the way, and walking direction to walk without collision access direction that move in road. These algorithms have been implemented as an embedded system with a camera and a head set, and the user wearing this system could walk successfully without collision.
차선과 도로영역 정보를 이용한 전방 차량 영역의 추출 기법
유재형(Jaehyung Yu),한영준(Youngjoon Han),한헌수(Hernsoo Hahn) 한국지능시스템학회 2008 한국지능시스템학회논문지 Vol.18 No.6
본 논문은 복잡한 도로 영상에서 차량 검출의 효율성을 높이기 위해 체인코드를 이용한 차선의 검출로부터 도로 영역을 찾아 차량이 존재하는 차량 영역의 추출 기법을 제안한다. 먼저, 복잡한 도로 영상에서 정확한 차선을 검출하기 위해 체인코드를 이용하여 에지 화소들간의 연결성을 고려한다. 주행 차량의 방향과 일치하는 차선을 검출한 후, 중앙의 차선으로부터 차도의 폭과 차선의 소실점을 찾아 인접하는 차도를 찾는다. 마지막으로 주행 차선과 인접 차선을 포함하는 도로 영역 내에 차량의 에지 정보를 이용하여 차량이 존재하는 차량 영역을 추출한다. 따라서, 제안하는 차량 영역의 추출 기법은 복잡한 배경을 갖는 도로 영상에서 차량의 검출율을 높이고 추출된 차량 영역에 한정할 수 있기 때문에 차량을 검출하는데 매우 효율적이다. 본 논문은 제안하는 차량 영역의 추출 기법의 우수성을 복잡한 도로 영상에서 차량 검출율의 실험을 통해 검증하였다. This paper proposes a new algorithm of extracting forward vehicle areas using the acquired lanes and road area information on road images with complex background to improve the efficiency of the vehicle detection. In the first stage, lanes are detected by taking into account the connectivity among the edges which are determined from a method of chain code. Once the lanes proceeding to the same direction with the running vehicle are detected, neighborhood roadways are found from the width and vanishing point of the acquired roadway of the running vehicle. And finally, vehicle areas, where forward vehicles are located on the road area including the center and neighborhood roadways, are extracted. Therefore, the proposed scheme of extracting forward vehicle area improves the rate of vehicle detection on the road images with complex background, and is highly efficient because of detecting vehicles within the confines of the acquired vehicle area. The superiority of the proposed algorithm is verified from experiments of the vehicle detection on road images with complex background.