• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1693-1700
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• 2012

Recently, the warning system to aid drivers for safe driving is being developed. The system estimates the distance between the driver's car and the car before it and informs him of safety distance. In this paper, we designed and implemented the collision warning system which detects the car in front on the actual road situation and measures the distance between the cars in order to detect the risk situation for collision and inform the driver of the risk of collision. First of all, using the forward-looking camera, it extracts the interest area corresponding to the road and the cars from the image photographed from the road. From the interest area, it extracts the object of the car in front through the analysis on the critical value of the shadow of the car in front and then alerts the driver about the risk of collision by calculating the distance from the car in front. Based on the results of detecting driving cars and measuring the distance between cars, the collision warning system was designed and realized. According to the result of applying it in the actual road situation and testing it, it showed very high accuracy; thus, it has been verified that it can cope with safe driving.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.6
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• pp.176-190
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• 2019

The prevention of pedestrian accidents in crosswalks and intersections is very important. The C-ITS services provide a warning service for preventing accidents between cars and pedestrians. In the current pedestrian collision prevention warning service according to the C-ITS standard, however, it is difficult to provide real-time service because it detects pedestrians from a video-analysis server in the control center and sends service messages through the ITS system. This paper proposes a pedestrian collision-prevention warning system that detects pedestrians in the local field using an edge camera and sends a warning message directly to the driver through a roadside unit. An evaluation showed that the proposed system could deliver the pedestrian collision prevention-warning message to the driver satisfying the delay time within the 300 ms required by the C-ITS standard, even in the worst case.

• The Journal of Korean Association of Computer Education
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• v.18 no.1
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• pp.81-97
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• 2015

Although Flipped Classroom(FC) which has recently attracted attention of educational field, showed its various educational effects such as learning academic achievement, attitude, collaborative learning and self-regulated learning. other studies also showed a number of significant problems and challenges in practically implementing. Thus, this study aims to investigate in-service and pre-service teachers awareness of FC in order to explore its educational feasibility for successfully adopting it to classrooms through the alternative solutions to its limitations. To achieve this goal, we firstly conducted literature review on teaching and learning models and guidelines to draw educational prerequisites and then analyzed needs of 156 pre-service teachers and 42 in-service teachers. According to survey results, 80% of teachers are willing to apply FC to their classes and hope to be offered with pre-learning activity materials and guidelines. They consider junior high school students and college students as appropriate learners, social science, science, Korean, and English as suitable subjects, and video content as optimal materials for pre-learning activities.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.93-96
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• 2015

In this paper, we introduce a fire detection system using context-aware sensor. In existing weather and based on vision sensor of fire detection system case, acquired image through sensor of camera is extracting features about fire range as processing to convert HSI(Hue, Saturation, Intensity) model HSI which is color space can have durability in illumination changes. However, in this case, until a fire occurs wide range of sensing a fire in a single camera sensor, it is difficult to detect the occurrence of a fire. Additionally, the fire detection in complex situations as well as difficult to separate continuous boundary is set for the required area is difficult. In this paper, we propose an algorithm for real-time by using a temperature sensor, humidity, Co2, the flame presence information acquired and comparing the data based on multiple conditions, analyze and determine the weighting according to fire it. In addition, it is possible to differential management to intensive fire detection is required zone dividing the state of fire.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.7-14
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• 2007

디지털 컨버전스가 가속화됨에 따라 휴대폰의 기능은 나날이 복잡해져 가고 있으며, 이러한 경향은 사람들에게 자신에게 불필요한 기능까지 익혀야 하는 불편함을 초래하고 있다, 특히, 단순한 통화방식에 익숙하고 인지적으로 새로운 것을 유연하게 받아들이지 못하는 고령 사용자들에게도 이미 생활필수품이 된 휴대폰은 사용하는데 어렵고 불편한 부분이 많이 있다. 본 연구에서는 한국의 고령사용자들을 대상으로 휴대폰 사용에 있어 문맥적, 정성적 조사(Contextual & Qualitative research)기법을 적용하여 평소 그들이 일상생활에서 느끼는 휴대폰 관련 요구사항을 도출하고자 하였다. 조사는 세 단계로 이루어졌다. 먼저, 휴대폰을 사용 중인 60대 이상 고령사용자 83명을 대상으로 사용 현황 및 수준을 파악하고 적절한 사용자를 섭외하기 위한 설문을 진행하였으며, 둘째, 초보사용자 8명, 중급사용자 3명을 대상으로 휴대폰 사용 기록을 기반으로 하는 심층인터뷰를 진행하였으며, 초보사용자들을 대상으로는 문자메세지, 전화번호부, 카메라 폰 기능 교육 세션을 통한 행동 관찰법을 시행하였다. 마지막으로, 교육 세션 한달 후, 사용성 평가와 추가 인터뷰를 진행하였다. 이상과 같이 장기간에 걸친 사용자 조사를 통해, 고령사용자들의 휴대폰 사용에 있어 심리, 문화적 특이사항과 인터랙션 상의 불편요소들을 발견할 수 있었으며, 수집된 동영상 데이터를 분석하여 고령사용자의 휴대폰 관련 요구사항을 신체적 요인, 인지적요인, 심리적 요인의 세가지로 구분하여 제시하였다. 본 연구에서는 문맥적, 정성적 사용자 조사를 통해 고령사용자들의 일상생활에서의 휴대폰 관련 요구사항을 도출함으로써 풍부하고 실증적인 경험데이터를 수집할 수 있었다. 이와 같이 도출된 요구사항 데이터는 이후 고령사용자를 위한 유니버설 디자인 휴대폰 개발 전략수립과 UI 디자인 개발에 활용되었다. 뿐만 아니라, 이 연구는 휴대폰 사용 경험 연구에 적용할 수 있는 문맥적 조사기법 프로세스의 사례를 제시하고 있다는데 의의가 있다고 하겠다.

• Journal of IKEEE
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• v.14 no.3
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• pp.224-231
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• 2010

Automatic detection of objects in images has been one of core challenges in the areas such as computer vision and pattern analysis. Especially, with the recent deployment of personal mobile devices such as smart phone, such technology is required to be transported to them. Usually, these smart phone users are equipped with devices such as camera, GPS, and gyroscope and provide various services through user-friendly interface. However, the smart phones fail to give excellent performance due to limited system resources. In this paper, we propose a new scheme to improve object recognition performance based on pre-computation and simple local features. In the pre-processing, we first find several representative parts from similar type objects and classify them. In addition, we extract features from each classified part and train them using regression functions. For a given query image, we first find candidate representative parts and compare them with trained information to recognize objects. Through experiments, we have shown that our proposed scheme can achieve resonable performance.

• Journal of the Korean Society for Nondestructive Testing
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• v.29 no.1
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• pp.36-42
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• 2009

We have developed software for converting the volumetric voxel data obtained from X-ray computed tomography(CT) into computer-aided design(CAD) data. The developed software can used for non-destructive testing and evaluation, reverse engineering, and rapid prototyping, etc. The main algorithms employed in the software are image reconstruction, volume rendering, segmentation, and mesh data generation. The feasibility of the developed software is demonstrated with the CT data of human maxilla and mandible bones.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.99-105
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• 2012

With the rapid development and diffusion of smart phone applications, mobile users are able to use various useful mobile services in humdrum life. Especially, interesting applications like QR code using camera module in a smart phone are developed continuously nowadays. We realized that the size and shape of shooting objects taken by a smart phone camera module are very different according to their types and versions of the android-based smart phone in the process of developing applications for measuring the shooting object using camera module of a smart phone. In this paper, we investigate the major differences among smart phone types and system versions when we take specific object with camera module of smart phones, analyze the various characteristics of camera modules that influencing the real size of the shooting object taken by a smart phone, and apply them to the development of the smart camruler application.

• Journal of the Korea Society of Computer and Information
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• v.16 no.10
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• pp.93-100
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• 2011

The necessity of research on extracting information of face and facial components in animation characters have been increasing since they can effectively express the emotion and personality of characters. In this paper, we introduce a method to extract face and facial components of animation characters by defining a mesh model adequate for characters and by using dominant colors. The suggested algorithm first generates a mesh model for animation characters, and extracts dominant colors for face and facial components by adapting the mesh model to the face of a model character. Then, using the dominant colors, we extract candidate areas of the face and facial components from input images and verify if the extracted areas are real face or facial components by means of color similarity measure. The experimental results show that our method can reliably detect face and facial components of animation characters.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.1
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• pp.39.3-39.3
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• 2018

외계행성 탐색시스템 운영현황과 계획을 소개한다. 2017년 관측장비 가동율은 97.4% 이며, 시스템이 설치된 3개 천문대에서 천문박명시간을 기준으로 총 10,157 시간이 연구에 할당되었고 총 7,178 시간 관측이 이루어졌다. 관측시스템의 성능개선을 위해 주경 코팅, 돔 레벨조정, 망원경 구동롤러 정렬, 주경 배플 마스크 설치 등 돔과 망원경의 기계부 업그레이드와 카메라 전자부 조정 및 앰프보드 교체 등이 이루어졌다. 관측효율 향상을 위해 1년간 관측된 약 177,000 장의 자료를 분석하여 불량자료 태깅기반을 마련했고, 시상모니터링과 관측 스크립트 코드를 개발하여 현재 관측에 적용하고 있다. 관측 자료는 각 연구 프로그램의 자료공개 정책에 따라 영상형태 또는 측광 파일형태로 이용이 가능하며, 관측로그는 홈페이지를 통해 확인할 수 있다. 2020년 10월부터 시작되는 2단계 관측 프로그램 선정을 위해 2019년 상반기에 관측제안서를 접수받아 하반기에 선정을 마칠 계획이며, 다양한 연구주제 발굴을 위해 파일롯 프로그램을 선별 지원할 계획이다.