• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1198-1206
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• 2006

프로그램 소스코드 표절 검사에 대한 기존 방법은 크게 지문(finger-print)법과 구조기반 검사법으로 나뉘며, 주로 단어의 유사성이나 발생빈도를 사용하거나 소스코드 구조상의 특징으로 두 소스간의 유사성을 비교한다. 본 연구에서는 프로그래밍 언어의 예약어 시퀀스를 사용하여 소스코드들 간의 유사성을 비교하고, 이 결과를 FCA(Formal Concept Analysis)를 통해 해석하고 시각화 하는 방법을 제시한다. 일반적인 VSM(Vector Space Model)과 같은 단일 단어 분석으로는 단어의 인접성을 구분할 수 없으므로 단어의 시퀀스 분석이 가능하도록 알고리즘을 구성하였으며 이러한 방식은 지문법의 단점인 소스코드의 부분적인 표절 탐지의 난점을 해결할 수 있고 함수의 호출 순서나 수행 순서에 상관없이 표절을 탐지할 수 있는 장점을 가진다. 마지막으로 유사도 측정결과는 FCA를 이용하여 격자(lattice)로 시각화됨으로써 이용자의 이해도를 높일 수 있다.

• Proceedings of the KOSOMBE Conference
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• v.1994 no.12
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• pp.121-123
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• 1994

손가락 움직임과 관련된 운동성 유발전위를 검출하기 위하여 컴퓨터를 이용하여 피검자에게 움직임 명령을 제시하고 명령에 따른 최종적인 피검자의 운동이 나타나는 과정까지의 뇌전위를 검출하는 시스템을 구성하였다. 위와 갊은 실험을 왼손 오른손에 대하여 자각 700번 정도 수행하여 average method를 이용하여 운동성 유발 전위를 검출하고, 신경전류 추적법을 이용하여 뇌의 흥분 뉴런군을 추정하였다.

• Proceedings of the KIEE Conference
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• 2001.07b
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• pp.886-888
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• 2001

배관의 덴트 및 주름의 형태 크기와 위치, buckle의 여부와 위치, 배관의 난형도 및 곡률을 파악하기 위해서 사용되는 Gemometry PIG의 캘리퍼 시스템에 Mechanical Finger를 back-yoke의 유무, 영구자석의 크기, Pin Hole의 위치와 영구자석의 위치 등을 3차원 비선형 유한요소법으로 해석한 후 이를 바탕으로 최적설계를 하여 이를 실제 제작하여 측정치와 비교하였다.

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.17-23
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• 2016

NUI is a motion interface. It uses the body of the user without the use of HID device such as a mouse and keyboard to control the device. In this paper, we use a Pi Camera and sensors connected to it with small embedded board Raspberry Pi. We are using the OpenCV algorithms optimized for image recognition and computer vision compared with traditional HID equipment and to implement a more human-friendly and intuitive interface NUI devices. comparison operation detects motion, it proposed a more advanced motion sensors and recognition systems fused connected to the Raspberry Pi.

• Molecules and Cells
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• v.40 no.8
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• pp.533-541
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• 2017

Engineered DNA-binding domains provide a powerful technology for numerous biomedical studies due to their ability to recognize specific DNA sequences. Zinc fingers (ZF) are one of the most common DNA-binding domains and have been extensively studied for a variety of applications, such as gene regulation, genome engineering and diagnostics. Another novel DNA-binding domain known as a transcriptional activator-like effector (TALE) has been more recently discovered, which has a previously undescribed DNA-binding mode. Due to their modular architecture and flexibility, TALEs have been rapidly developed into artificial gene targeting reagents. Here, we describe the methods used to design these DNA-binding proteins and their key applications in biomedical research.

• Journal of Sensor Science and Technology
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• v.25 no.1
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• pp.71-78
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• 2016

PPG signal measured by pulse oximeter can measure pulse and the oxygen saturation of arterial blood. But the PPG signal is distorted by finger movement or other movement in the body. To detect pulse from the PPG signal with motion artifact, we use band pass filter(BPF), Independent component analysis(ICA) and nonlinear autocorrelation(NAC). BPF is used to remove DC component and high frequency noise in the PPG signal with motion artifacts. ICA is used to separate pulse signal and motion artifact. However, pulse signal separated by ICA have no choice but to accompany signal distortion because pulse signal and motion artifact are not completely independent. So, we use nonlinear autocorrelation to emphasize the pure pulse signal from the distorted signal.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.687-689
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• 2021

정맥을 이용한 생체 인식 방법은 신체의 노화에 영향을 받지 않고 높은 사용 편의성과 변조의 위험이 적어 인증 수단으로 폭넓게 활용되고 있다. 그러나 가짜 정맥 영상을 통한 스푸핑 공격 위험이 존재한다. 이러한 문제를 해결하기 위해 실제 정맥 영상과 가짜 정맥 영상을 구분하는 기술이 필요하다. 본 연구에서는 실제 정맥 데이터의 마디와 뼈의 밝기 차이를 이용해 진짜 정맥 영상과 가짜 정맥 영상을 구분하는 기술을 연구했다.

• Journal of IKEEE
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• v.18 no.4
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• pp.478-484
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• 2014

In this paper, we propose new algorithm for positioning of mouse cursor using fingertip direction on kinect depth camera. The proposed algorithm uses center of parm points from distance transform when fingertip point toward screen. Otherwise, algorithm use fingertip points. After image preprocessing, the center of parm points is calculated from distance transform results. If the direction of the finger towards the camera becomes close to the distance between the fingertip point and center of parm point, it is possible to improve the accuracy of positioning by using the center of parm point. After remove arm on image, the fingertip points is obtained by using a pixel on the long distance from the center of the image. To calculate accuracy of mouse positioning, we selected any 5 points. Also, we calculated error rate between reference points and mouse points by performed 500 times. The error rate results could be confirmed the accuracy of our algorithm indicated an average error rate of less than 11%.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.43 no.3 s.309
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• pp.60-66
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• 2006

The purpose of this study was to suggest a new detection method for early diagnosing diabetic neuropathic foot by obtaining a ratio of toe to finger blood flow using photoplethysmography(PPG) and Laser Doppler(LD). Nerve conduction velocity (NCV) has been routinely used for diagnosing neuropathic foot, but it applies strong electric stimulus to peripheries resulting in stress and pain. The blood flow ratio of 50 neuropathic diabetes($0.96{\pm}0.20$) was significantly higher than that of 64 normal person($0.46{\pm}0.15$)(p<0.000). It also showed that toe temperature of neuropathic diabetes($30.5{\pm}1.4^{\circ}C$) was significantly higher than that of normal group($29.3{\pm}2.0^{\circ}C$)(p<0.000). The optimal boundary value of the blood flow ratio was found to be 0.678 and the sensitivity and specificity of this proposed method resulted in 95.3% and 95.3% respectively. Lastly, there were no neuropathic diabetes whose temperature difference between finger and toe was higher than $4.5\;^{\circ}C$.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.169-183
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• 2010

Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a freeway and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, existing technologies, this freeway attribute, velocity changes, volume changes, occupancy changes reflect judge the primary. Furthermore, We pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian Mixture model analytical method which has been considered the best among well-known environmental obstacle reduction methods. Therefore, in this way, the accident was the final decision. Also, environmental factors occur frequently, and with the index finger situations, effectively reducing that can actively and environmentally adaptive techniques through accident final judgment. This implementation of the evaluate performance of the experiment road of 12 incidents in simulated and the jang-hang IC's real-time accident experiment. As a result, the do well detection 93.33%, false alarm 6.7% as showed high reliability.