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통합 체질진단 툴 β-version의 웹기반 응용프로그램 (The Web Application of Integrated Sasang Constitutional Diagnosis β-version)

  • 진희정;김장웅;김영수;이시우;장은수
    • 사상체질의학회지
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    • 제24권1호
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    • pp.13-20
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    • 2012
  • 1. Objectives : It is very important to classify people into Sasang constitution correctly in SCM. There have been many researches for this and several tools have been developed for diagnosis of Sasang constitution. In our study, we introduce a new web application for Integrated Sasang Constitutional Diagnosis (ISCD) ${\beta}$-version and algorithm on the base of face, body shape, voice and questionnaire. 2. Development : The web application of ISCD ${\beta}$-version was designed to be used easily for subject, staffs, and oriental medical doctors. For this purpose, we developed a web-application of Integrated Sasang Constitutional Diagnosis ${\beta}$-version using mysql database, tomcat web system, JSP, JAVA, and C++ languages. 3. Current State : The ISCD ${\beta}$-version could be accessed at http://210.218.196.115/SDT/login.jsp. The ISCD ${\beta}$-version consisted of 3 parts, for staffs, subject and oriental medical doctors. The system has been managed since February 2011. Currently 7 oriental hospitals have used the system and 1,439 subjects have been diagnosed by the system. 4. Conclusion and future work : Although many researchers have tried to develop a system or an algorithm for diagnosis of subject's constitution, we could have not used the system based on objective information of human body type, characters, symptoms. In this study, we describe a web application of objective diagnosis algorithm as ISCD ${\beta}$-version. This system may help an oriental medical doctors to make a decision of Sasang constitutional diagnosis easily and correctly.

하천 트레킹 체험의 환경교육적 의미 (Meaning of Stream Trekking Experience from the Viewpoint of Environmental Education)

  • 최수경;이재영
    • 한국환경교육학회지:환경교육
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    • 제24권4호
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    • pp.94-110
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    • 2011
  • The main objective of this study was to find participant's recognition about and meaning of stream trekking activities by analyzing their reports after visiting Gumgang, which was a kind of field experience combined with environmental education programs. In addition, this work suggested a few points that might help improve trekking programs, trail establishment and the overall field activities along the river. Eighty reports were collected from the participants who had joined in the Gumgang trekking programs organized by both Green Korea United in Daejeon and Gumgang Basin Environmental Office of Korean EPA. A database of texts in the reports was created for the preliminary analysis and then the results were further examined in a qualitative methodology. The results of qualitative analysis demonstrated that before experiencing the trekking activities in the Gumgang, many participants seemed uninterested in a river itself, objectified it, or simply recognized functional roles. It is found that most participants preferred crossing rapids to other activities. Crossing rapids has the eleven positive aspects as follows. First of all, crossing rapids is fun and scary experience at the same time. Secondly, it is painful, but makes people feel happy ironically. Third, rapids themselves make people reminisce about their childhood and feel freedom. Fourth, they make people feel comfortable. Fifth, crossing rapids is addictive. Sixth, rapids have life. Seventh, people can learn how to adapt to nature through the experience in them. Eighth, they can make people cooperate. Ninth, they can make people recollect their old friends. Tenth, people can extend their experience near rapids to rivers. Eleventh, they can make people reflect themselves. There ere three remarkable findings about experience in rapids. Crossing rapids was an activity that most participants preferred and could make the goal of trekking in the Gumgang effectively achievable. By crossing rapids participants can understand both lively and painful parts of the river. Participants think tour guide was an essential part to trekking along the Gumgang.

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분무주조 고속도공구강의 고온변형 거동에 관한 연구 (A Study on High Temperature Deformation Behavior of Spray-Formed High Speed Steels)

  • 하태권;정재영
    • 소성∙가공
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    • 제27권2호
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    • pp.123-129
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    • 2018
  • In the present study, the mechanical behavior of the spray-formed high speed steel was investigated employing the internal variable theory of inelastic deformation. Special attention was focused on the effect of the microstructure evolution during the hot working process, such as the distribution of carbides to provide a basic database for the production condition of high speed steels with excellent properties. The billets of high speed steel ASP30TM were fabricated by a spray forming, and the subsequently hot-rolled and heat-treated process to obtain uniformly distributed carbide structure. As noted the spray-formed high speed steel showed relatively coarser carbides than hot-rolled and heat-treated one with fine and uniformly distributed carbide structure. The step strain rate tests and high temperature tensile tests were carried out on both the spray-formed and the hot-rolled specimens, to elucidate their high temperature deformation behavior. The spray-formed high speed steel showed much higher flow stress and lower elongation than the hot-rolled and heat-treated steel. During the tensile test at $900^{\circ}C$, the interruption of the deformation for 100 seconds was conducted to reveal that the recovery was a main dynamic deformation mechanism of spray formed high speed steel. The internal variable theory of the inelastic deformation was used to analyze data from the step strain rate tests, revealing that the activation energies for hot deformation of as-spray-formed and hot-worked steels, which were 157.1 and 278.9 kJ/mol, and which were corresponding to the dislocation core and lattice diffusions of ${\gamma}-Fe$, respectively.

다항식 근사를 이용한 심전도의 ST-Segment 분석 (ST-Segment Analysis of ECG Using Polynomial Approximation)

  • 정구영;유기호;권대규;이성철
    • 제어로봇시스템학회논문지
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    • 제8권8호
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    • pp.691-697
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    • 2002
  • Myocardial ischemia is a disorder of cardiac function caused by insuficient blood flow to the muscle tissue of the heart. We can diagnose myocardial ischemia by observing the change of ST-segment, but this change is temporary. Our primary purpose is to detect the temporary change of the 57-segment automatically In the signal processing, the wavelet transform decomposes the ECG(electrocardiogram) signal into high and low frequency components using wavelet function. Recomposing the high frequency bands including QRS complex, we can detect QRS complex more easily. Amplitude comparison method is adopted to detect QRS complex. Reducing the effect of noise to the minimum, we grouped ECG by 5 data and compared the amplitude of maximum value. To recognize the ECG .signal pattern, we adopted the polynomial approximation partially and statistical method. The polynomial approximation makes possible to compare some ECG signal with different frequency and sampling period. The ECG signal is divided into small parts based on QRS complex, and then, each part is approximated to the polynomials. After removing the distorted ECG by calculating the difference between the orignal ECG and the approximated ECG for polynomial, we compared the approximated ECG pattern with the database, and we detected and classified abnormality of ECG.

Automatic Person Identification using Multiple Cues

  • Swangpol, Danuwat;Chalidabhongse, Thanarat
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1202-1205
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    • 2005
  • This paper describes a method for vision-based person identification that can detect, track, and recognize person from video using multiple cues: height and dressing colors. The method does not require constrained target's pose or fully frontal face image to identify the person. First, the system, which is connected to a pan-tilt-zoom camera, detects target using motion detection and human cardboard model. The system keeps tracking the moving target while it is trying to identify whether it is a human and identify who it is among the registered persons in the database. To segment the moving target from the background scene, we employ a version of background subtraction technique and some spatial filtering. Once the target is segmented, we then align the target with the generic human cardboard model to verify whether the detected target is a human. If the target is identified as a human, the card board model is also used to segment the body parts to obtain some salient features such as head, torso, and legs. The whole body silhouette is also analyzed to obtain the target's shape information such as height and slimness. We then use these multiple cues (at present, we uses shirt color, trousers color, and body height) to recognize the target using a supervised self-organization process. We preliminary tested the system on a set of 5 subjects with multiple clothes. The recognition rate is 100% if the person is wearing the clothes that were learned before. In case a person wears new dresses the system fail to identify. This means height is not enough to classify persons. We plan to extend the work by adding more cues such as skin color, and face recognition by utilizing the zoom capability of the camera to obtain high resolution view of face; then, evaluate the system with more subjects.

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PCA 기반 LDA 혼합 알고리즘을 이용한 실시간 얼굴인식 시스템 구현 (The Embodiment of the Real-Time Face Recognition System Using PCA-based LDA Mixture Algorithm)

  • 장혜경;오선문;강대성
    • 대한전자공학회논문지SP
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    • 제41권4호
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    • pp.45-50
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    • 2004
  • 본 논문에서는 실시간 얼굴인식 시스템을 위한 새로운 PCA 기반 LDA 혼합 알고리즘을 제안한다. 크게 얼굴추출 부분과 얼굴인식 부분으로 구성되어 있으며, 얼굴추출 부분에는 차영상, color filtering, 눈과 입의 영역 검출 그리고 정규화 방법을 사용하였고, 얼굴인식 부분에는 추출된 얼굴 후보 영역 영상에 PCA와 LDA를 혼합하여 적용하였다. 기존의 PCA만을 사용한 인식시스템은 낮은 인식률을 보였으며, LDA만을 사용한 인식시스템에서는 학습데이터의 수에 비하여 영상의 화소 개수가 많은 경우 LDA를 입력 영상에 그대로 적용하기 곤란하였다. 이러한 단점을 극복하기 위하여, 정규화 된 영상에 PCA를 적용하여 차원을 축소한 후 LDA를 사용하여 실시간 인식을 가능하게 하였으며, 인식률 또한 향상시킬 수 있었다. 제안한 시스템의 성능을 평가하기 위하여 자체 제작한 DAUface의 데이터베이스를 가지고 실험을 하였다. 실험 결과, 제안된 방법이 PCA 방법과 LDA 방법, 그리고 ICA 방법에 비해 인식률이 상당히 우수함을 알 수 있었다.

3차원 이동 궤적 묘사를 통한 인간 동작 데이터 검색 (Searching Human Motion Data by Sketching 3D Trajectories)

  • 이강훈
    • 한국컴퓨터그래픽스학회논문지
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    • 제19권2호
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    • pp.1-8
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    • 2013
  • 실제 사람의 움직임을 촬영하여 얻은 동작 데이터는 인체운동의 메커니즘을 이해하거나 가상 캐릭터의 애니메이션을 합성하기 위한 목적으로 널리 활용되고 있다. 주어진 동작 데이터로부터 원하는 동작을 검색하는 작업은 찾아낸 동작을 분석하고 편집하기 전에 선행되어야 하는 주요 과정이다. 본 논문은 기술어와 같은 별도의 메타 데이터 없이 원본 데이터에 내재된 정보만을 이용하여 검색을 수행하는 새로운 내용 기반 동작 데이터 검색 방법을 제안한다. 주로 신체 자세의 골격 형태나 평면 상의 이동 궤적에 초점을 맞춘 기존 검색 방식과 달리, 본 논문에서 제안하는 방법은 3차원 공간 상의 궤적을 질의로 입력 받아서 손, 발, 허리와 같은 신체 부위의 이동 궤적이 그와 가장 유사한 일련의 동작 구간들을 검출한다. 사용자가 직관적으로 공간적 궤적을 묘사할 수 있도록 하기 위하여, 본 논문의 실험에서는 손가락의 공간적 움직임을 정밀하게 추적할 수 있는 Leap Motion 제어기를 입력 도구로 사용하였다. 드리블, 슈팅 등의 다양한 동작이 포함된 농구 동작 데이터로부터 미리 선택된 수십 여개의 동작을 검색하는 사용자 테스트를 수행하여 제안된 방법의 효용성을 평가하였다.

내러티브 기반 소셜 이슈 기능성 게임의 사용자 감정 경험 연구 : <나누별 이야기>를 중심으로 (Emotional User Experiences on Narrative-Based Social Issue Serious Game : Focused on )

  • 임수진;도영임;유승호
    • 한국게임학회 논문지
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    • 제12권6호
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    • pp.131-144
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    • 2012
  • 소셜 이슈 기능성 게임의 목표는 사회적 현안에 대한 사용자 인식 변화이다. 이 때 내러티브를 활용할 경우, 단순히 건조한 정보 전달에 그칠 때보다 감정적 자극 전달이 용이해진다는 점에서 사용자를 효과적으로 설득할 가능성이 높아질 수 있다. 이 연구에서는 교육 내용을 담고 있는 내러티브의 각 요소가 게임 기획자가 의도한 대로 사용자의 특정 감정을 유발하는지의 여부와 그를 통한 교육효과를 분석하기 위해 게임 <나누별 이야기>를 플레이한 사용자를 대상으로 초점집단면접 방식의 인터뷰를 진행하였다. 이후 인터뷰 내용에서 언급된 감정단어를 한국어 감정단어목록에 의거해 추출하고, 추출된 감정단어를 Russell의 감정원형모형에 사상해 그룹화 했다. 분석 결과 사용자들은 <나누별 이야기>의 내러티브에서 주로 불쾌(unpleasant)에 해당하는 감정을 느꼈으며, 이는 분단에 대한 슬픔 공유와 그를 통한 통일 의식 환기라는 게임의 목표를 달성하는 데 긍정적인 역할을 한 것으로 나타났다.

산업용 지능형 로봇의 물체 인식 방법 (Object Recognition Method for Industrial Intelligent Robot)

  • 김계경;강상승;김중배;이재연;도현민;최태용;경진호
    • 한국정밀공학회지
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    • 제30권9호
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    • pp.901-908
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    • 2013
  • The introduction of industrial intelligent robot using vision sensor has been interested in automated factory. 2D and 3D vision sensors have used to recognize object and to estimate object pose, which is for packaging parts onto a complete whole. But it is not trivial task due to illumination and various types of objects. Object image has distorted due to illumination that has caused low reliability in recognition. In this paper, recognition method of complex shape object has been proposed. An accurate object region has detected from combined binary image, which has achieved using DoG filter and local adaptive binarization. The object has recognized using neural network, which is trained with sub-divided object class according to object type and rotation angle. Predefined shape model of object and maximal slope have used to estimate the pose of object. The performance has evaluated on ETRI database and recognition rate of 96% has obtained.

Cell Transmission Model 시뮬레이션을 기반으로 한 클라우드 환경 아래에서의 고속도로 교통 예측 및 최적 제어 시스템 개발 (Development of Traffic Prediction and Optimal Traffic Control System for Highway based on Cell Transmission Model in Cloud Environment)

  • 탁세현;여화수
    • 한국ITS학회 논문지
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    • 제15권4호
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    • pp.68-80
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    • 2016
  • 자율주행 차량은 다양한 센서를 활용하여 사람과 유사한 수준으로 실시간 도로환경 변화를 인지, 환경 변화에 대한 적절한 판단 및 제어를 수행하여야 한다. 특히 영상센서는 차선인식 기능을 통해 주행방향 결정 및 차로이탈 방지 등 조향제어 수행을 위한 인지에 활용된다. 하지만 관련 성능기준은 ADAS(Advanced Driver Assistance System)와 연계된 '운전자 보조' 역할에 초점이 맞춰져, 자율주행시 요구되는 '주체적 상황 인지'를 위한 성능조건과 다를 것으로 판단된다. 본 연구에서는 자율주행시 차선인식 기능이 정상적으로 작동되지 않는 상황이 지속될 때 차량 진행방향과 도로 선형방향의 불일치에 따라 발생되는 횡방향 차로이탈을 차량의 이동 궤적을 기반하여 추정하고, 안전성 확보를 위한 차로이탈 허용 수준 및 영상센서 성능수준을 제시하였다. 분석 결과 승용차 조건에서 차선인식 기능이 1초 이상 연속적인 오작동을 일으킨다면 차로이탈에 의한 위험한 상황에 놓일 수 있는 것으로 나타났다. 따라서 자율주행 차량을 위한 차선인식 기능 평가 시 현재 기준보다 큰 횡방향 차로이탈상황에 대한 검토가 필요할 것으로 판단된다.