• 대한족부족관절학회지
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• 제2권2호
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• pp.57-63
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• 1998

Stress or march fractures among military personnel, especially recruits, has been appreciated for many years. According to the classical references, the second metatarsal was one of the first sites identified as a focus for march fractures and radiological evidence of fracture appeared as late as several weeks. The purpose of this study was to document the clinical feature of march fractures in Korean infantry soldiers. From 1997 to 1998, at one infantry medical company of OO infantry corps in Korea, 15 (19cases) patients with march fracture were detected among infantry soldiers. There were some different finding in the fracture site and its clinical features from the previous foreign reports. 1. There were pain and local swelling in all cases as clinical manifestation. By physical examination, direct point tenderness on the location of the fractured metatarsal shaft was characteristic. 2. On roentgenographic examination, cortical fissuring or break was seen one week after onset of symptoms and external callus was seen from two weeks or at the least four weeks. Oblique view was more useful than AP view in the diagnosis of march fractures. 3. The third metatarsal was the most frequently involved site(7 cases, 48%). and the second metatarsal was Jess frequent(3 cases, 20%). This difference of frequent site with previous reports might be attributed to the relatively long shaft of the third metatarsal, but should be analyzed in further study. 4. The incidence of the development of march fracture was 1 per 104 infantry soldiers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권10호
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• pp.3955-3971
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• 2020

Due to the significant increase in the use of autonomous car technology, it is essential to integrate this technology with high-precision digital map data containing more precise and accurate roadway information, as compared to existing conventional map resources, to ensure the safety of self-driving operations. While existing map technologies may assist vehicles in identifying their locations via Global Positioning System, it is however difficult to update the environmental changes of roadways in these maps. Roadway vision algorithms can be useful for building autonomous vehicles that can avoid accidents and detect real-time location changes. We incorporate a hybrid architectural design that combines unsupervised classification of vision data with supervised joint fusion classification to achieve a better noise-resistant algorithm. We identify, via a deep learning approach, an intelligent hybrid fusion algorithm for fusing multimodal vision feature data for roadway classifications and characterize its improvement in accuracy over unsupervised identifications using image processing and supervised vision classifiers. We analyzed over 93,000 vision frame data collected from a test vehicle in real roadways. The performance indicators of the proposed hybrid fusion algorithm are successfully evaluated for the generation of roadway digital maps for autonomous vehicles, with a recall of 0.94, precision of 0.96, and accuracy of 0.92.

• Imaging Science in Dentistry
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• 제34권3호
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• pp.129-136
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• 2004

Purpose: To evaluate whether cone beam computed tomography can depict the distribution, position, frequency, relative vertical dimension, and the diameter of the lingual foramen and direction of lingual bone canal. Materials and Methods : Cone beam computed tomography of mandible was performed on 25 males and 25 females with no history of any orthodontic treatments or any other dental surgeries. A statistical comparison was done on the mean values of males and females. Results: In the location and distribution of lingual foramina, median lingual foramen was found in all subjects and lateral lingual foramen in 58%. In the lateral lingual foramen, bilateral type was found in 28% and unilateral type in 30%. In the number of lingual foramina, median lingual foramen had two foramina and lateral lingual foramen had one foramen, mostly. In the relative mean vertical dimension of lingual foramina, median lingual foramen was 0.03±0.08, and both lateral lingual foramina was 0.20±0.04. The mean diameter of lingual foramina, median lingual foramen was 0.9mm±0.28, right lateral lingual foramen was 0.92mm±0.23, and left lateral lingual foramen was 0.88mm±0.27. The most frequent direction of the lingual bone canals, median lingual bone canal proceeded in anteroinferior direction and lateral lingual bone canal in anterosuperolateral direction. Conclusion : Cone beam computed tomography can be helpful for surgery and implantation on the mandibular area. Radiologist should be aware of this anatomical feature and its possible implications.

• 서비스연구
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• 제2권2호
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• pp.81-90
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• 2012

스마트폰이 PC의 기능을 한다면, PC가 없는 장소에서 스마트폰의 활용도는 매우 높아질 것이다. 지하철이나 버스, 심지어는 등산길에서도 인터넷에 접속하여 원하는 정보를 얻거나 게임도 즐길 수 있다. 이러한 스마트폰의 장점 때문에 세계 시장에서는 스마트폰이 더욱 확산되고 있다. 최근에는 집에서도 매번 부팅해야 하는 PC나 노트북 보다는 스마트폰을 만지는 것이 더 편리하다는 반응도 나오고 있을 정도이다. 본 연구에서는 GPS 기능과 Android 기능을 이용하여 등산객이나 탐방객의 편의를 목적으로 한다. 소비자에게 친숙한 스마트폰을 통해 사용자 주변 산 및 탐방지 검색을 통하여 사용자들이 원하는 곳 어디서나 산행 및 탐방 중 위치 정보 및 각종 자료를 제공하는 있는 Application을 개발, 연구하였다.

• Journal of Welding and Joining
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• 제34권2호
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• pp.59-66
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• 2016

The Gas Metal Arc(GMA) welding, called Metal Inert Gas(MIG) welding, has been an important component in manufacturing industries. A key technology for robotic welding processes is seam tracking system, which is critical to improve the welding quality and welding capacities. The objectives of this study were to develop the intelligent and cost-effective algorithms for image processing in GMA welding which based on the laser vision sensor. Welding images were captured from the CCD camera and then processed by the proposed algorithm to track the weld joint location. The proposed algorithms that commonly used at the present stage were verified and compared to obtain the optimal one for each step in image processing. Finally, validity of the proposed algorithms was examined by using weld seam images obtained with different welding environments for image processing. The results proved that the proposed algorithm was quite excellent in getting rid of the variable noises to extract the feature points and centerline for seam tracking in GMA welding and could be employed for general industrial application.

• 한국운동역학회지
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• 제15권4호
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• pp.169-179
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• 2005

In the 500m short track speed skating, the matter of who reaches the first corner first can important factor since each competitor races with all speed from the start to the first line. A filed study was attempted to kinematical estimation six female foreign skaters, who participated in the 500m female final round competition, and two Korea skates during the World Short track Skating Championship. The three dimensional motion analysis with DLT method was executed using four video cameras for analyzing the actual competition situation. In point of analyzing the actual competition situation, it is expected that skaters and coaches the effective informations, and the following conclusions are drawn; The elapsed time by phase in start motion of the foreign skaters appeared shorter those of Korea skaters, so the start training of Korea skaters should be strengthed. Also the displacement of C.G in the foreign skaters appeared shorter displacement than those of Korea skaters. Especially in the starting position, the foreign skaters are superior to Korea skaters in displacement of first(left) and next following stroke(right). The velocity of C.G and maximum velocity of skate blade of foreign skaters art faster than those of Korea skaters. And the foreign skaters show the superior early velocity change. Both of leaning body angle, and left and knee angle of the foreign skaters lead to positive point of having the propulsive force in the early starting position. Observing in the most prominent feature of foreign and Korea skaters in start phase, foreign skaters skate quickly the third stroke. These features of Korea skaters would appear disadvantage of location selection in entering the coner course.

• 대한공간정보학회지
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• 제1권1호
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• pp.117-125
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• 1993

GSIS는 분석될 수 있고, 또 특별한 목적이나 응용을 위한 정보로 변환될 수 있는 공간적 참조 자료를 보유하는 시스템이다. GSIS의 핵심적인 특징은 자료를 분석하여 새로운 정보를 만들어 낼 수 있다는 것이다. 교통분야에 있어서 현재 중점을 두고 있는 것은 실시간 시스템과 결합한 GSIS를 구축하는 것이다. 교통 GSIS에 대한 요구는 환경이나 자원분야의 응용을 위해 설계된 전통적인 GSIS와는 매우 다르다. 교통 GSIS는 교통량 예측, 포장관리에 대한 능력을 포함할 필요도 있을 것이다. 지역적인 교통계획 모델은 실제 어떤 지역에 대한 인구, 고용, 수입, 가구수, 자동차 수요에 대한 목록을 정리하고 예측하는데 사용되는 모델이다. 본 논문에서는 행정경계, 토지이용도, 도로망, 학교 동사무소의 위치와 인구 같은 자료를 사용하였으며, 이들 자료는 교통량, 교통수요, 도로건설 시간을 분석하는데 사용되었다.

• 로봇학회논문지
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• 제7권3호
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• pp.205-215
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• 2012

A GPS sensor is widely used in many areas such as navigation, or air traffic control. Particularly, the car navigation system is equipped with GPS sensor for locational information. However, when a car goes through a tunnel, forest, or built-up area, GPS receiver cannot get the enough number of satellite signals. In these situations, a GPS receiver does not reliably work. A GPS error can be formulated by sum of bias error and sensor noise. The bias error is generated by the geometric arrangement of satellites and sensor noise error is generated by the corrupted signal noise of receiver. To enhance GPS sensor accuracy, these two kinds of errors have to be removed. In this research, we make the road database which includes Road Database File (RDF). RDF includes road information such as road connection, road condition, coordinates of roads, lanes, and stop lines. Among the information, we use the stop line coordinates as a feature point to correct the GPS bias error. If the relative distance and angle of a stop line from a car are detected and the detected stop line can be associated with one of the stop lines in the database, we can measure the bias error and correct the car's location. To remove the other GPS error, sensor noise, the Kalman filter algorithm is used. Additionally, using the RDF, we can get the information of the road where the car belongs. It can be used to help the GPS correction algorithm or to give useful information to users.

• 한국콘텐츠학회논문지
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• 제13권4호
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• pp.418-426
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• 2013

본 연구는 전통공예기술인 짜임을 현대 가구디자인에 활용하기 위해 조형적인 분석을 통해 사용자가 쉽게 접할 수 있도록 체계적으로 정리하여 보급하는 것을 목적으로 한다. 정리된 짜임의 분석 자료를 토대로 가구를 제작하는 데 쉽게 적용할 수 있도록 하기 위해 기본적으로 짜임을 이용한 가구로 생성될 수 있는 형태를 조사한 결과, 판재+판재의 결합으로 이루어진 가구, 판재+각재 2축의 결합으로 이루어진 가구, 판재+각재 3축의 결합으로 이루어진 가구로 나누어 볼 수 있었다. 그리고 가구의 위치에 따라 사용되는 짜임을 파악하기 위한 분석으로 가구의 상부에 주로 사용되는 짜임의 종류와 가구의 중앙부에 사용되는 짜임, 가구의 하부에 주로 사용되는 짜임으로 분류하여 각각의 짜임을 분석하여 정리하였다. 이와 같이 짜임은 그 사용되는 위치나 가구의 형태에 따라 그 구조를 이루는데 필요한 짜임이 다르다. 그래서 일반인들이 처음 짜임을 접할 때는 어떤 짜임이 어디에 사용되어야 되는지 파악하기가 힘들다. 따라서 본 연구에서 가구의 조형분석을 통해 가구의 형태별, 가구의 위치별로 적용할 수 있는 짜임을 분석하여 정리함으로써 장인이 아닌 일반인들에게 대중적으로 짜임의 활용도를 높일 수 있는 계기가 될 것이다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제28권12호
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• pp.947-954
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• 2001

본 논문에서는 인식된 얼굴의 포즈 상태 열에 오토마타 기법을 적용하여 다양한 헤드 제스처 를 인식하는 방법을 제안한다. 얼굴 영역의 추출에는 Yl7외 I성분인 최적의 얼굴색 정보와 적응적인 차영상 정보를 이용하며. 눈 영역 추출에는 소벨 연산자와 투영 기법. 그리고 눈의 기하학적 위치 정보를 이용 한다 얼굴의 상태 인식에는 계층적인 특징분석 방법을 사용하며, 인식된 얼굴 상태 열에 오토마타 기법을 적용하여 13가지 제스처; 준비, 상측, 하측, 좌측, 우측, 전진, 후퇴, 좌 윙크, 우 윙크, 좌 더블 윙크 우 더블 윙크, 긍정, 부정제스처를 인식한다. 총 8명으로부터 1,488 프레임의 영상을 취득하여 실험한 결과, 99.3%의 얼굴 영역 추출률 95.3%, 의 눈 영역 추출률, 94.1% 의 얼굴 상태 인식률. 그리고 93.3%의 헤드제 스처 인식률을 얻었다