• 공학교육연구
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• 제21권6호
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• pp.99-107
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• 2018

The purpose of this study is to establish and propose educational vision of chemical engineering field in order to search for academic identity and future education direction in chemical engineering field. In order to achieve this research purpose, we investigate the literature and data on the vision, educational goals, and curriculum of the department of chemical engineering in domestic and foreign universities. We also analyze the SWOT of internal and external environmental factors respectively. The validity of the proposal was verified through delphi survey with delphi panels and the vision was developed by revising and improving upon the opinions of professionals. The vision is comprised of the value and mission of learning, the educational purpose, and the educational goal. The first stage is value and mission of chemical engineering. The educational purposes and the educational goals are divided into 'Department of Chemical Engineering' and 'Department of Chemical and Biological Engineering'. The application of the educational vision of chemical engineering field is as follows. First, we expect that the vision to be a valuable, philosophical, and theoretical basis for establishing educational objectives and goals in the field of chemical engineering. Hopefully, it will be used as a general education goal for the top-level education. Second, we hope that the vision will be used to develop customized vision, customized educational purpose, and educational goals that reflect the characteristics of region, departments, graduates, and educational needs in the field of chemical engineering. Finally, we hope that these results will be the starting point to discuss the educational vision in the department of chemical engineering.

• 한국안광학회지
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• 제21권3호
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• pp.243-251
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• 2016

목적: 본 연구는 양안시 고유수용감각검사(Maindot 검사)를 사용하여 평균 3년 동안의 추적관찰을 통한 간헐성 외사시의 시기능훈련 효과를 평가하는 것이다. 방법: 2005년에서 2009년의 기간동안 35명(남 18명, 여 17명)의 평균 연령 13.48(${\pm}2.45$)세의 교정시력 0.9 이상이고 조절기능이 정상이며, 양안단일시가 가능한 간헐성 외사시안을 대상으로 시기능 훈련 전, 후 그리고 3년간의 변화를 관찰하였다. 결과: 시기능 훈련 후, 변화된 편위량 및 폭주여력(복시점)값과 자각증상은 상관관계가 유의하지 않았다(p>0.05). 그러나 양안시 고유수용감각능력 변화에 따라 자각증상이 감소되는 상관관계를 나타내었다(p<0.001). 결론: 양안시 고유수용감각은 양안시 자각증상 예측 평가, 시기능 훈련 후 양안시 기능 예측 평가, 프리즘 처치와 같은 다양한 목적과 분야에 활용될 수 있을 것이다.

• 한국임상수의학회지
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• 제25권5호
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• pp.385-390
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• 2008

The purpose of this study was to compare the long term prognosis of Ahmed valve implantation and medical therapy in dogs with early primary glaucoma. The medical records of dogs with early primary glaucoma from the Veterinary Medical Teaching Hospital of Seoul National University between January 2005 and May 2008 were reviewed. Five dogs underwent Ahmed valve implantation and medical therapy was performed in six dogs. Breeds of the dogs included Shih Tzu(n = 7), American cocker spaniel(n = 2), and miniature poodle(n = 2). Adequate intraocular pressure(IOP) was better maintained in the Ahmed valve implantation group than in the medical treatment group throughout the follow-up period. Mean time for vision loss to develop after treatment in the Ahmed valve implantation group($198.0{\pm}115.4$ days) was significantly longer than that in medical treatment group($43.2{\pm}30.4$ days, p < 0.05). Post-operative complications included occlusion of the tube by fibrin in the anterior chamber (n = 1), fibrous capsule about the episcleral base of the device(n = 1), and dislocation of the valve body(n = 1). It is considered that Ahmed valve implantation is more effective strategy to control IOP and maintain vision than medical treatment in early glaucomatous dogs.

• 제어로봇시스템학회논문지
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• 제21권12호
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• pp.1178-1184
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• 2015

In conventional robotics, charge-coupled device (CCD) and complementary metal-oxide-semiconductor (CMOS) cameras have been utilized for acquiring vision information. These devices have problems, such as narrow optic angles and inefficiencies in visual information processing. Recently, biomimetic vision sensors for robotic applications have been receiving much attention. These sensors are more efficient than conventional vision sensors in terms of the optic angle, power consumption, dynamic range, and redundancy suppression. This paper presents recent research trends on biomimetic vision sensors and discusses future directions.

• 제어로봇시스템학회논문지
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• 제21권1호
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• pp.65-69
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• 2015

A vision-based blank alignment unit for a press automation line is introduced in this paper. A press is a machine tool that changes the shape of a blank by applying pressure and is widely used in industries requiring mass production. In traditional press automation lines, a mechanical centering unit, which consists of guides and ball bearings, is employed to align a blank before a robot inserts it into the press. However it can only align limited sized and shaped of blanks. Moreover it cannot be applied to a process where more than two blanks are simultaneously inserted. To overcome these problems, we developed a press centering unit by means of vision sensors for press automation lines. The specification of the vision system is determined by considering information of the blank and the required accuracy. A vision application S/W with pattern recognition, camera calibration and monitoring functions is designed to successfully detect multiple blanks. Through real experiments with an industrial robot, we validated that the proposed system was able to align various sizes and shapes of blanks, and successfully detect more than two blanks which were simultaneously inserted.

• Agricultural and Biosystems Engineering
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• 제4권1호
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• pp.16-21
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• 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.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2007년도 춘계학술대회
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• pp.171-180
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• 2007

The purpose of this paper is to find an policy vision and action plans for the growth of the Korean cultural contents industry as a new growth power in the 21th century. For this purpose, I referred to sundry records to analyze the characteristics, industrial situation and the prospects of the cultural contents industry. I also made an analysis on the outcome of the cultural contents policy with the help of the official concerned in the Ministry of Culture and Tourism, which made it possible for me to draw a few urgent problems of Korean cultural contents industry. With these preceding analyses, I proposed the strategy and action plans of the government policy for the Korean cultural contents industry as follows : strengthening the creative power of the cultural contents industry, systemizing the healthy circulation of the cultural contents, and improvement of the cultural welfare on the basis of contents.

• 한국정밀공학회지
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• 제21권8호
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• pp.83-88
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• 2004

The Classification of defected oil-seals using a vision system with the artificial neural network is presented. The artificial neural network fur classification consists of 27 input nodes, 10 hidden nodes, and one output node. The selection of the number of the input nodes is based on an observation that the difference among the defected, non-defected, and smeared oil-seals is greatly pronounced in the 26 step gray-scale level thresholding. The number of the hidden nodes is chosen as a result of a trade-off between accuracy and computing time. The back-propagation algorithm is used for teaching the network. The proposed network is capable of successfully classifying the defected from the smeared oil-seals which tend to be classified as the defected ones using the binary thresholding. It is envisaged that the proposed method improves the reliability and productivity of the automotive vision inspection system.

• Journal of Welding and Joining
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• 제21권1호
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• pp.60-65
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• 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.

• Journal of Platform Technology
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• 제10권3호
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• pp.21-29
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• 2022

Recently, the scope of the smart factory has been expanded, and process research to minimize the part that requires manpower in many processes is increasing. In the case of detecting defects in the appearance of small products, precise verification using a vision system is required. Reliability and speed of inspection are inefficient for human inspection. In this paper, we propose an algorithm for inspecting product appearance defects using a machine vision system. In the case of the remote control targeted in this paper, the appearance is different for each product. Due to the characteristics of the remote control product, the data obtained using two cameras is compared with the master data after denoising and stitching steps are completed. When the algorithm presented in this paper is used, it is possible to detect defects in a shorter time and more accurately compared to the existing human inspection.