• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6090-6097
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• 2013

A pneumatically-driven driving simulator that provides a realistic representation of the driving environment was developed. The motion platform for the driving simulator is a mechatronic device that gives a driver the realistic feeling of an actual vehicle. The cost of the motion platform comprises the largest part of the expenses in developing a driving simulator. In this project, to develop a low-cost motion platform, the self-built motion platform based on the Stewart platform configuration that is constructed by six pneumatic cylinders was used as its actuator. The Stewart platform that moves in response to the operating signals of the joystick showed satisfactory tracking performance. We confirmed the possibility of the driving simulator using rFactor that is a commercially available racing game software.

• Journal of the Korean Magnetics Society
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• v.6 no.5
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• pp.340-352
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• 1996

최근 급속도로 발전하고 있는 첨단산업의 배경에는 반도체를 중심으로 한 디지틀 전자기술(Electronics)이 자리잡고 있음은 주지의 사실이다. 이러한 전자 및 정보기술 이후, 즉 포스트 일렉트로닉스(Post-electronics)시대를 겨냥한 새로운 돌파구로서 기대되고 있는 21세기 기술의 주도권을 잡을 기술이 어떤 기술이 될 것인가는 매우 흥미로운 질문이다. 현재 시점에서 볼 때 반도체를 매개로 한 20세기 정보전자혁명을 대신할 새로운 기술혁명으로 대두하고 있는것이 마이크로혁명이며, 이 마이크로혁명을 주도할 기술로서 세계적인 주목을 끌고 있는 기술중의 하나가 초소형 미소기계, 즉 마이크로머신(Micromachine)이다. 현재 '반도체를 능가할 수 있는 차세대 메카트로닉스(Mechatronics)혁명'이라 평가되고 있는 마이크로머신 기술은 과거 꿈으로나 가능하던 공상과학의 세계를 현실로 만들어 주는 경이로운 기술이며, 나아가 분자기술을 응용한 생체로봇, 생체컴퓨터 등 이른바 나노기술(Nano-technology)의 신세계로 향하는 입구라 할 수 있다. 이기술은 기계공학, 전자기술은 물론 물리학, 생물학, 화학, 재료공학 등 광범위한 분야의 기술이 총망라되어야 개발이 가능하며, 그 실현을 위해서는 매크로 한 세계와는 판이하게 다른 물리현상 등 마이크로한 세계의 특수성을 이해해야 함은 물론 에너지공급, 재료, 데이타통신, 구조조립 등 많은 기술적 난제를 극복해야 한다. 마이크로머신기술은 현재 일부 전문가를 제외하고는 일반은 물론 자기학분야의 연구자들에게도 별로 익숙하지 않은 분야이다. 그러나 이 기술의 미래 영향력이나 가능성, 필요성을 고려할 때 이제는 자기분야 연구자들도 이 분야에 관심을 가져야 할 것으로 생각하여 연구자들도 이 분야에 관심을 가져햐 할 것으로 생각하여 본고에서는 먼저 최근 마이크로머신의 기술동향을 개괄적으로 소개하고, 다음으로 마이크로머신에 사용되는 주요 재료들과 자성재료가 주도적인 기능을 하는 자기마이크로머신(Magnetic Micro-machine)에 사용되는 자성재료들에 관해 소개하고자 한다.

• The Journal of Korean Institute of Information Technology
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• v.17 no.5
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• pp.77-82
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• 2019

Diabetic retinopathy is a complicated form of diabetes due to circulatory disorder in the peripheral blood vessels of the retina. We segment the microvessel for diagnosing diabetic retinophathy. The conventional methods using filter and features can segment the thick blood vessels, but it has relatively weak for segmenting fine blood vessels. In pre-processing step, noise reduction filter and histogram equalization are applied to suppress the noise and enhance the image contrast. Then, deep learning technique is used for pixel-by-pixel segmentation. The accuracy of conventional methods is between 90% to 94%, while the proposed method has improved as 95% accuracy. There is a problem of segmentation error around the optic disc and exudate due to the network depth. However the accuracy can be improved by modifying the network architecture in the future.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.49 no.3
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• pp.225-230
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• 2023

In this study, the porous structure inside the hair were observed using an optical microscope without damaging the hair, and the porosity inside the hair was quantitatively expressed using the results. Experiments were conducted on the effect of the decrease in density inside the hair on the bending and tensile properties of the hair, and experiments on endogenous and extrinsic factors were conducted to find out the causes of the decrease in density inside the hair. As for the endogenous factor, the porosity of gray hair, one of the representative symptoms of aging, was compared with normal hair. As for extrinsic factors, it was observed that the internal density of hair decreased by surfactant and heat, which are factors that can cause hair damage in daily life. In addition, we confirmed whether it is possible to increase the internal density and luster of the hair by using an amino acids and material that can prevent hair lipid predisposition.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.4
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• pp.193-205
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• 2003

There has been so many research activities about robot soccer system in the many research fields, for example, intelligent control, communication, computer technology, sensor technology, image processing, mechatronics. Especially researchers research strategy for attacking in the field of strategy, and develop intelligent strategy. Then, soccer robots cannot defense completely and efficiently by using simple defense strategy. Therefore, intention extraction of attacker is needed for efficient defense. In this thesis, intention extractor of soccer robots is designed and developed based on FMMNN(Fuzzy Min-Max Neural networks ). First, intention for soccer robot system is defined, and intention extraction for soccer robot system is explained.. Next, FMMNN based intention extractor for soccer robot system is determined. FMMNN is one of the pattern classification method and have several advantages: on-line adaptation, short training time, soft decision. Therefore, FMMNN is suitable for soccer robot system having dynamic environment. Observer extracts attack intention of opponents by using this intention exactor, and this intention extractor is also used for analyzing strategy of opponent team. The capability of developed intention extractor is verified by simulation of 3 vs. 3 robot succor simulator. It was confirmed that the rates of intention extraction each experiment increase.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.642-648
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• 2019

This paper presents a fast back-type transfer device for snack food processing that uses the inertia of transferred material. A conventional conveying system is a drive system that uses a belt conveyor and mechanical crank, which generate noise and vibration and cause environmental pollution. Vibration and noise are reduced in the proposed fast back feeding device by using a counterweight. The crank drive unit was replaced with a linear servomotor, and an equilibrium device was designed to balance the force due to acceleration. This makes it is possible to adjust the forward and backward speed and acceleration through PLC control. A vibration damper device offsets the vibration force of the periodic shock form. The main cause of the vibration was identified through vibration analysis, and reduction measures were established. We verified the effectiveness of the vibration by making a prototype and performing about 10 vibration tests. Because no mechanical transducer is needed, energy loss, noise, and vibration do not occur, and the operating speed is not limited.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.1-8
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• 2019

Virtual Training is an educational exercise in which the environment or the situation is virtually implemented for specific training and proceed like a real situation. In recent years, the virtual reality technology has developed rapidly, and the demand for experiencing situation that are not directly experienced in the real world is increasing more and more in virtual reality. Particularly, there is an increasing demand of contents for hands-on training and virtual training for equipment training that replaces high-risk and high-cost industry training. The virtual training contents have been developed and utilized for the purpose of technical training. However, it is known that virtual training is more effective when it is used as a supplementary training material or combined with e-learning contents rather than replacing one training course with virtual training contents because purpose and effect are different from general technical training course. In this study, we explored the development method for effective utilization of electrohydraulic servo control process, which is the virtual reality contents developed in 2017 in combination with e-learning contents. In addition, in order to establish a teaching and learning strategy, we actually develop and operate a case studies using virtual training contents. Surveys and case studies are conducted to investigate the effects of teaching and learning strategies applied in the classroom on students and their educational usefulness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.537-542
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• 2021

This paper improves the possibility of recognizing fast-moving objects through the YOLO (You Only Look Once) deep learning recognition model in an application environment for object recognition in images. The purpose was to study the method of collecting semantic data through processing. In the recognition model, the moving object recognition error was identified as unrecognized because of the difference between the frame rate of the camera and the moving speed of the object and a misrecognition due to the existence of a similar object in an environment adjacent to the object. To minimize the recognition errors by compensating for errors, such as unrecognized and misrecognized objects through the proposed data collection method, and applying vision processing technology for the causes of errors that may occur in images acquired for sports (tennis games) that can represent real similar environments. The effectiveness of effective secondary data collection was improved by research on methods and processing structures. Therefore, by applying the data collection method proposed in this study, ordinary people can collect and manage data to improve their health and athletic performance in the sports and health industry through the simple shooting of a smart-phone camera.