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서호성,박병흥,Seo, Ho Seong,Park, Byung Heung 한국교통대학교 융복합기술연구소 2015 융ㆍ복합기술연구소 논문집 Vol.5 No.2
Deep eutectic solvents (DESs) are now broadly understood as a new kind of ionic liquid (IL) because they exhibit many characteristics and properties similar with ILs. The DESs made of quaternary ammonium salt blended with one of hydrogen bonding donor (HBD) compounds behave as ILs even at very low temperature. In this study, properties such as density, viscosity, surface tension, conductivity, and electrochemical behavior of DESs were reported and their applications were reviewed. Study on DESs has been drawn attention on application in metal finishing, but these solvents can be used in a variety of synthesis, and their potentials have been demonstrated in various areas. DESs are expected to offer applicability by extending the types of salts and hydrogen bond donor mixtures.
서호성,박병흥,Seo, Ho Seong,Park, Byung Heung 한국교통대학교 융복합기술연구소 2016 융ㆍ복합기술연구소 논문집 Vol.6 No.2
Recently, due to the climate change by global warming, the amount of snow has increased. The situations were demanded to use many snow removal materials. The snow removal materials that used in Korea were solid chloride deicing material. That is calcium chloride($CaCl_2$) and sodium chloride(NaCl). Solid chloride baesd snow removal materials have various property, for example good freezing point depression, deliquescence and economical solvents. However, there are problems such as water pollution, high corrosiveness and ecocide. For such reason, development of eco-friendly deicer was required obligatorily. This study investigated development situation of eco-friendly deicer materials.
항행 및 항법 : 무인 시스템의 자율 주행을 위한 영상기반 항법기술 동향
김현진 ( Hyoun Jin Kim ),서호성 ( Ho Seong Seo ),김표진 ( Pyo Jin Kim ),이충근 ( Chung Keun Lee ) 한국항행학회 2015 韓國航行學會論文誌 Vol.19 No.2
이 논문에서는 영상정보를 기반으로 한 무인 시스템의 자율 항법기술에 대한 동향을 요약한다. 영상기반 항법기술로는 비주얼서보잉, 비주얼 오도메트리, 영상 기반 SLAM(simultaneous localization and mapping)이 있다. 비주얼 서보잉은 목표 이미지와 현재이미지 사이의 피쳐 차이로부터 원하는 속도 입력을 계산하여 무인 로봇을 목표 자세로 유도하는 데 사용된다. 비주얼 오도메트리는 무인 시스템이 영상정보를 바탕으로 자신의 이동 궤적을 추정하는 기술로, 기존의 dead-reckoning 방식보다 정확성을 향상시킬 수 있다. 영상 기반 SLAM은 무인 시스템이 영상 정보를 활용하여 미지의 환경에 대한 지도를 구축함과 동시에 자신의 위치를 결정해 나가는 기술로, 정확히 알지 못하는 환경에서 무인차량이나 무인기를 운용하는데 필수적이다. 이러한 기술들이 적용된 해외의 연구 사례들을 살펴봄으로써 영상기반 항법기술의 동향을 파악할 수 있었다. This paper surveys vision based autonomous navigation technologies for unmanned systems. Main branches of visual navigation technologies are visual servoing, visual odometry, and visual simultaneous localization and mapping (SLAM). Visual servoingprovides velocity input which guides mobile system to desired pose. This input velocity is calculated from feature difference between desired image and acquired image. Visual odometry is the technology that estimates the relative pose between frames of consecutive image. This can improve the accuracy when compared with the exisiting dead-reckoning methods. Visual SLAM aims for constructing map of unknown environment and determining mobile system’s location simultaneously, which is essential for operation of unmanned systems in unknown environments. The trend of visual navigation is grasped by examining foreign research cases related to visual navigation technology.
신영길,최원준,정향순,서호성 경북대학교 사범대학부속 중등교육연구소 2003 중등교육연구 Vol.51 No.2
The purpose of this study is to analysis on the feedbacks of middle school student teachers in physical education classes during a period of practical training and to find effective feedback for enhance the quality of classes. In order to achieve the purpose of this study, data were collected through record the 9 student teachers' classes on video tape and analysed by using feedback analysis profile(FAP). The result of this study showed that the FAP of student teachers were severe and both teachers and students. First, feedback type for subject was in large part personal feedback and mainly feedback was prescriptive feedback about not correct skill, and the feedback was given during or after perform skill. Second, student teachers rather gave negative feedback to learners than positive. They showed correction complex. Third, student teachers didn't understand the content of class completely, so they didn`t show development of content and harmony between task and practice, feedback.