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CycleGAN을 이용한 야간 상황 물체 검출 알고리즘
조상흠,이용,나재민,김영빈,박민우,이상환,황원준 한국멀티미디어학회 2019 멀티미디어학회논문지 Vol.22 No.1
Recently, image-based object detection has made great progress with the introduction of Convolutional Neural Network (CNN). Many trials such as Region-based CNN, Fast R-CNN, and Faster R-CNN, have been proposed for achieving better performance in object detection. YOLO has showed the best performance under consideration of both accuracy and computational complexity. However, these data- driven detection methods including YOLO have the fundamental problem is that they can not guarantee the good performance without a large number of training database. In this paper, we propose a data sampling method using CycleGAN to solve this problem, which can convert styles while retaining the characteristics of a given input image. We will generate the insufficient data samples for training more robust object detection without efforts of collecting more database. We make extensive experimental results using the day-time and night-time road images and we validate the proposed method can improve the object detection accuracy of the night-time without training night-time object databases, because we converts the day-time training images into the synthesized night-time images and we train the detection model with the real day-time images and the synthesized night-time images.
조상흠 충남대학교 세종지적재산권연구소 2021 The Journal of Law & IP Vol.11 No.2
The Article 2. 1. (j) of the Unfair Competition Prevention and Trade Secret Protection Act was introduced by the amendment on 17 April 2018. It explicitly prohibits the unfair competition activity so-called ‘idea misappropriation’ or ‘technology misappropriation’ which has been pointed out as a serious problem of the Korean economy by preventing the growth of innovative SMEs and startups. Because it is the first legislation directly governing the protection of ‘idea’, it is required to provide concrete interpretations of the provision to minimize the legal uncertainties of the stakeholders. However, the precedents have not yet been accumulated and even academic discussions have not been sufficient. Therefore, this thesis proposes the detailed interpretation of the elements of the new regulation, the Article 2. 1. (j). When interpreting this new regulation, it is important to consider the legislative purpose of this regulation and Unfair Competition Prevention and Trade Secret Protection Act : to establish a sound transaction order and to prevent free-riding on the efforts of others. It should also be considered that the Article 2. 1. (j) was legislated to cover the blind spots of existing laws in preventing idea misappropriation. Therefore, it is not desirable to interpret the requirements of the Article 2. 1. (j) too strictly. However, it is also essential to strike the right balance among stakeholders not to restrict the normal spread of ideas or affect normal negotiations and transactions. Harmonization with the existing legal framework such as patent and trade secrets should also be taken into account.
조상흠,김판기,안창범,임종우 대한자기공명의과학회 2009 Investigative Magnetic Resonance Imaging Vol.13 No.1
Purpose : A method to estimate a real k-space trajectory based on a circuit model of the gradient system is proposed for spiral imaging. The estimated k-space trajectory instead of the ideal trajectory is used in the reconstruction to improve the image quality in the spiral imaging. Materials and Methods : Since the gradient system has self resistance, capacitance, and inductance, as well as the mutual inductance between the magnet and the gradient coils, the generated gradient fields have delays and transient responses compared to the input waveform to the gradient system. The real gradient fields and their trajectory in k-space play an important role in the reconstruction. In this paper, the gradient system is modeled with R-L-C circuits, and real gradient fields are estimated from the input to the model. An experimental method to determine the model parameters (R, L, C values) is also suggested from the quality of the reconstructed image. Results : The gradient fields are estimated from the circuit model of the gradient system at 1.5 Tesla MRI system. The spiral trajectory obtained by the integration of the estimated gradient fields is used for the reconstruction. From experiments, the reconstructed images using the estimated trajectory show improved uniformity, reduced overshoots near the edges, and enhanced resolutions compared to those using the ideal trajectory without model. Conclusion : The gradient system was successfully modeled by the R-L-C circuits. Much improved reconstruction was achieved in the spiral imaging using the trajectory estimated by the proposed model. 목적 : 나선 주사 영상에서 경사자계시스템의 회로 모델을 기반으로 실제 경사 자계를 추정하여 재구성에 사용함으로써 재구성 영상을 개선하는 방법을 제안하였다. 대상 및 방법 : 자기공명영상장치의 경사자계 시스템은 저항 성분과 자체 인덕턴스, magnet 시스템과의 상호 인덕턴스, 커패시턴스 성분 등을 가지고 있어서 경사자계 증폭기에 인가하는 입력 경사자계 파형과 실제 만들어지는 경사자계 사이에는 시간적인 지연과 함께 파형에도 차이가 있다. 나선주사 영상에서 실제 만들어진 경사자계 파형 및 k-space 궤적은 재구성 과정에서 매우 중요한 역할을 한다. 본 논문에서는 경사자계시스템을 회로 소자로 모델링하였고, 입력 전압 파형에 대한 출력 전류 파형을 구함으로써 실제 얻어지는 경사자계파형을 유도하였다. 모델링에서 사용한 R-L-C 값은 재구성영상의 화질로부터 얻을 수 있는 방법을 제시하였다. 결과 : 1.5 Tesla MRI 시스템에서 경사자계 시스템의 입력 전압 파형에 대하여 실제 얻어지는 경사자계 파형을 추정할 수 있었다. 경사자계파형을 적분함으로써 얻어진 나선 궤적을 재구성에 적용한 결과 재구성 영상의 균일도가 개선되었고, edge 부근에서 overshoot 가 줄어들었으며, 해상도가 향상된 영상을 얻을 수 있었다. 결론 : R-L-C 회로 모델을 이용하여 경사자계시스템을 성공적으로 모델링할 수 있었고, 입력 전압 파형에 대하여 실제 얻어지는 경사자계(전류) 파형을 추정할 수 있었다. 이로부터 얻은 kspace 나선 궤적을 이용하여 월등히 개선된 재구성영상을 얻을 수 있었다.
3축 가속도 센서를 이용한 운동/리듬 반응 향상 프로그램
조상흠(Sang-Heum Cho),남궁찬(Chan NamGung),박진호(Jin-ho Park),손채봉(Chae-Bong Sohn),오승준(Seung-Jun Oh),안창범(Chang-Beom Ahn) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
리듬에 대한 노약자의 운동 반응 관찰 및 개선을 위하여 3축 가속도 센서를 이용하여, 시각과 청각 자극에 대한 사용자의 운동 반응을 측정하였고, 여가 및 치료 목적 사용자 인터페이스를 개발하였다. 이를 반복 훈련하여, 기능 향상에 도움을 줄 것이라 기대된다.