• 제목/요약/키워드: Vision Area

검색결과 834건 처리시간 0.027초

J 대학교 재학생의 학습역량 실태조사 (A study on the actual state of learning competences in students at a college)

  • 송경희
    • 대한치위생과학회지
    • /
    • 제1권2호
    • /
    • pp.21-39
    • /
    • 2018
  • The purpose of this study was to examine the learning competencies of students at a college from September 1 to November 30, 2017, in an effort to provide some information on how to foster learning competencies in college years, which lay the foundation for work and social lives. 1. The learning competencies of the subjects consisted of academic vision, student identity, cognitive regulation, emotional regulation, learning management and creating learning environments. Out of five points, they scored the highest in academic vision and student identity with 3.34, followed by learning management with 3.20, creating learning environments with 3.18, emotional regulation with 3.16 and cognitive regulation with 3.14. 2. There were statistically significant differences in academic vision according to age, the area of major, the academic credential of their fathers, commuting time, military service experience and career plans. 3. There were statistically significant differences in student identity and cognitive regulation according to gender, age, the area of major, the academic credential of their fathers, commuting time, military service experience and career plans. 4. There were statistically significant differences in emotional regulation according to age, the area of major, the academic credential of their fathers, commuting time, career plans and daily mean study hours. 5. There were statistically significant differences in learning management according to gender, age, the area of major, grade point average, the academic credential of their fathers, career plans and daily mean study hours. 6. There were statistically significant differences in creating learning environments according to gender, age, the area of major, the academic credential of fathers, commuting time, career plans and daily mean study hours. As they were poorest at the cognitive regulation area among the areas of learning competencies, self-directed learning programs that deal with how to study, learning process, how to take notes and arrange them, how to link different pieces of acquired knowledge and how to map out study plans should be developed to give support to students.

소고기 육색 등급 자동 판정을 위한 기계시각 시스템의 칼라 보정 및 정량화 (Quantization and Calibration of Color Information From Machine Vision System for Beef Color Grading)

  • 김정희;최선;한나영;고명진;조성호;황헌
    • Journal of Biosystems Engineering
    • /
    • 제32권3호
    • /
    • pp.160-165
    • /
    • 2007
  • This study was conducted to evaluate beef using a color machine vision system. The machine vision system has an advantage to measure larger area than a colorimeter and also could measure other quality factors like distribution of fats. However, the machine vision measurement is affected by system components. To measure the beef color with the machine vision system, the effect of color balancing control was tested and calibration model was developed. Neural network for color calibration which learned reference color patches showed a high correlation with colorimeter in L*a*b* coordinates and had an adaptability at various measurement environments. The trained network showed a very high correlation with the colorimeter when measuring beef color.

Calibration for Color Measurement of Lean Tissue and Fat of the Beef

  • Lee, S.H.;Hwang, H.
    • Agricultural and Biosystems Engineering
    • /
    • 제4권1호
    • /
    • pp.16-21
    • /
    • 2003
  • In the agricultural field, a machine vision system has been widely used to automate most inspection processes especially in quality grading. Though machine vision system was very effective in quantifying geometrical quality factors, it had a deficiency in quantifying color information. This study was conducted to evaluate color of beef using machine vision system. Though measuring color of a beef using machine vision system had an advantage of covering whole lean tissue area at a time compared to a colorimeter, it revealed the problem of sensitivity depending on the system components such as types of camera, lighting conditions, and so on. The effect of color balancing control of a camera was investigated and multi-layer BP neural network based color calibration process was developed. Color calibration network model was trained using reference color patches and showed the high correlation with L*a*b* coordinates of a colorimeter. The proposed calibration process showed the successful adaptability to various measurement environments such as different types of cameras and light sources. Compared results with the proposed calibration process and MLR based calibration were also presented. Color calibration network was also successfully applied to measure the color of the beef. However, it was suggested that reflectance properties of reference materials for calibration and test materials should be considered to achieve more accurate color measurement.

  • PDF

자동차 플라스틱 부품 락킹레버 검사를 위한 알고리즘 연구 (A Study on Algorithm for Inspection of Automobile's plastic part locking lever)

  • 장봉춘
    • 한국산학기술학회논문지
    • /
    • 제11권5호
    • /
    • pp.1558-1563
    • /
    • 2010
  • 본 논문에서는 생산 현장에서 작업자가 육안으로 하고 있는 자동차 부품의 전수(全數) 검사 방법을 대체하기 위한 머신 비전 시스템의 개발을 위한 검사알고리즘에 관한 연구이다. 생산 효율과 품질 향상을 위한 노력의 일환으로 플라스틱 압출 성형에서 생기는 여러 가지 불량품 유형을 PC를 기반한 머신 비전 시스템(Machine Vision System)을 구축하기에 앞서 생산된 부품을 실시간 검사하고 제품의 불량 유무를 판별하는 알고리즘을 개발하는 것이 본 연구의 목적이다. 검사방법에 사용된 소프트웨어는 NI-LabVIEW를 사용하였으며, LabVIEW Vision 이미지 함수를 사용하여 검사 프로그램을 개발하였다. 개발된 검사 알고리즘은 생산 부품의 실시간 검사에 적용 될 수 있으며, 검사 영역과 설정 값을 비전 시스템 운용자가 설정할 수 있도록 프로그램이 만들어져 검증되었다.

문경지역에서 3차원 지반특성 분석연구 (3 Dimensional Geo-Information at Munkyeong area)

  • 이병주;황재홍;이창원
    • 한국지반공학회:학술대회논문집
    • /
    • 한국지반공학회 2010년도 추계 학술발표회
    • /
    • pp.423-427
    • /
    • 2010
  • To develope SOC(social overhead capita) which constructs the railroad, highway etc., the geo-technical foundation have to be well understood for the safety works. In this paper, we selected Moonkyung area for the study area, which has various geological units and geological structure including the big thrust and fold. By this reason one of the geo-technical information is the engineering geology map. To make the map, lithology and soil distribution with drilling data are important elements. Three dimensional geo-infomation is established by fence diagram which is several geological cross sections and/or computer software 3D Geomodeller, EarthVision, GSI3D, Gocad.

  • PDF

파이프 용접에서 다중 시각센서를 이용한 용접선 추적 및 용접결함 측정에 관한 연구 (A Study on Seam Tracking and Weld Defects Detecting for Automated Pipe Welding by Using Double Vision Sensors)

  • 송형진;이승기;강윤희;나석주
    • Journal of Welding and Joining
    • /
    • 제21권1호
    • /
    • pp.60-65
    • /
    • 2003
  • At present. welding of most pipes with large diameter is carried out by the manual process. Automation of the welding process is necessary f3r the sake of consistent weld quality and improvement in productivity. In this study, two vision sensors, based on the optical triangulation, were used to obtain the information for seam tracking and detecting the weld defects. Through utilization of the vision sensors, noises were removed, images and 3D information obtained and positions of the feature points detected. The aforementioned process provided the seam and leg position data, calculated the magnitude of the gap, fillet area and leg length and judged the weld defects by ISO 5817. Noises in the images were removed by using the gradient values of the laser stripe's coordinates and various feature points were detected by using an algorithm based on the iterative polygon approximation method. Since the process time is very important, all the aforementioned processes should be conducted during welding.

시각기반 센서 네트워크를 이용한 이동로봇의 위치 추정 (Mobile Robot Localization using Ubiquitous Vision System)

  • 누엔수안다오;김치호;유범재
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
    • /
    • pp.2780-2782
    • /
    • 2005
  • In this paper, we present a mobile robot localization solution by using a Ubiquitous Vision System (UVS). The collective information gathered by multiple cameras that are strategically placed has many advantages. For example, aggregation of information from multiple viewpoints reduces the uncertainty about the robots' positions. We construct UVS as a multi-agent system by regarding each vision sensor as one vision agent (VA). Each VA performs target segmentation by color and motion information as well as visual tracking for multiple objects. Our modified identified contractnet (ICN) protocol is used for communication between VAs to coordinate multitask. This protocol raises scalability and modularity of thesystem because of independent number of VAs and needless calibration. Furthermore, the handover between VAs by using ICN is seamless. Experimental results show the robustness of the solution with respect to a widespread area. The performance in indoor environments shows the feasibility of the proposed solution in real-time.

  • PDF

Development of an Optimal Trajectory Planning Algorithm for an Automated Pavement Crack Sealer

  • Yoo, Hyun-Seok;Kim, Young-Suk
    • Journal of Construction Engineering and Project Management
    • /
    • 제2권1호
    • /
    • pp.35-44
    • /
    • 2012
  • In the last two decades, several tele-operated and machine-vision-assisted systems have been developed in the construction and maintenance area, such as pavement crack sealing, sewer pipe rehabilitation, and excavation. In developing such tele-operated and machine-vision-assisted systems, trajectory plans are very important tasks for the optimal motions of robots whether their environments are structured or unstructured. This paper presents an optimal trajectory planning algorithm used for a machine-vision-assisted automatic pavement crack sealing system. In this paper, the performance of the proposed optimal trajectory planning algorithm is compared with the greedy trajectory plans, which are used in the previously developed pavement crack sealing systems. The comparison is based on the computational cost vs. the overall gains in crack sealing efficiency. Finally, it is concluded that the proposed algorithm plays an important role in the productivity improvement of the developed automatic pavement crack sealing system.

스테레오비젼을 이용한 3차원 물체 측정 시스템 (3D measuring system by using the stereo vision)

  • 조진연;김기범
    • 한국정밀공학회:학술대회논문집
    • /
    • 한국정밀공학회 1997년도 추계학술대회 논문집
    • /
    • pp.224-228
    • /
    • 1997
  • Computer vision system become more important as the researches on inspection systems, intelligent robots , diagnostic medical systems is performed actively. In this paper, 3D measuring system is developed by using stereo vision. The relation between left image and right image is obtained by using 8 point algorithm, and fundamental matrix, epipole and 3D reconstruction algorithm are used to measure 3D dimensions. 3D measuring system was developed by Visual Basic, in which 3D coordinates would be obtained by simple mouse clicks. This software would be applied to construction area, home interior system, rapid measuring system.

  • PDF

시선각 측정기반 비전항법시스템에서 랜드마크의 기하학적 배치에 대한 2차원 항법오차 (Two-Dimensional Navigation Error for Geometry of Landmark in Line-Of-Sight Measurement Based Vision Navigation System)

  • 김영선;지현민;황동환
    • 전기학회논문지
    • /
    • 제61권3호
    • /
    • pp.479-484
    • /
    • 2012
  • Geometric effect of landmarks to the navigation error is investigated in the two-dimensional line-of-sight measurement based vision navigation system. DOP is derived between line-of-sight measurement error and navigation solution error. For cases of three landmarks in an area, variations of the DOP were observed through computer simulations. Vision navigation system experiments were performed for the cases. Simulation and experimental results show that navigation solution errors have similar trend to DOP values of the simulation.