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정원용,이아름,문제선,김윤성,조혜선 한국식물생명공학회 2018 Plant biotechnology reports Vol.12 No.5
Flowering time (Ft) is the most important characteristic of Chinese cabbage with high leaf yields and late-flowering are favorable traits, while little knowledge on genes involved in Ft and the flowering mechanism in this crop. In this study, we conducted genome-wide RNA-seq analysis using an inbred Chinese cabbage ‘4004’ line in response to vernalization and compared the Ft gene expression with radish crop. A number of Ft genes which play roles in flowering pathways were performed quantitative RT-PCR analysis to verify the regulatory flowering gene network in Chinese cabbage. We found that a total of 223 Ft genes in Chinese cabbage, and 50 of these genes responded to vernalization. The majority of flowering enhancers were upregulated, whereas most flowering repressors were downregulated in response to vernalization as confirmed by RT-qPCR. Among the major Ft genes, the expression of BrCOL1-2, BrFT1/2, BrSOC1/2/3, BrFLC1/2/3/5, and BrMAF was strongly affected by vernalization. In reference to comparative RNA-seq profiling of Ft genes, Chinese cabbage and radish revealed substantially different vernalization response in particular GA flowering pathway. Thus, this study provides new insight into functional divergence in flowering pathways and the regulatory mechanisms in Brassicaceae crops. Further analysis of the major integrator genes between early and late-flowering inbred lines facilitates understanding flowering trait variation and molecular basis of flowering in Chinese cabbage.
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웨이블릿 기반 잡음제거와 신경회로망을 이용한 잡음 전력 품질 인식 시스템
정원용,Chong, Won-Yong 한국융합신호처리학회 2012 융합신호처리학회 논문지 (JISPS) Vol.13 No.2
전압강하(sag), 전압상승(swell), 고조파(harmonics)와 충격과도(impulsive transients)와 같은 전력품질(PQ: Power Quality) 신호는 전력전자 장비와 마이크로프로세서 기반 전자장치 운전에 매우 중요한 문제점을 야기시킨다. 웨이블릿 기반 잡음제거 기법과 역전파 신경회로망을 사용하여 잡음 전력품질을 분석하고 인식하는 잡음 전력품질 인식 시스템의 유효성을 본 논문에서 조사하였다. 잡음 전력 인식 시스템에 적용된 알고리즘은 웨이블릿기반 디노이징과 역전파 신경회로망이고, 잡음 전력품질 인식 시스템의 실시간 성능을 검증하기 위하여 Simulink를 사용한 SIL(Software In the Loop)과 TMS320C6713DSK를 사용한 PIL(Processor In the Loop)을 통하여 우수한 인식률을 확인 할 수 있었다. Power Quality (PQ) signal such as sag, swell, harmonics, and impulsive transients are the major issues in the operations of the power electronics based devices and microprocessor based equipments. The effectiveness of wavelet based denoising techniques and recognizing different power quality events with noise has been presented in this paper. The algorithms involved in the noisy PQ recognition system are the wavelet based denoising and the back propagation neural networks. Also, in order to verify the real-time performances of the noisy PQ recognition systems under the noisy environments, SIL(Software In the Loop) and PIL(Processor In the Loop) were carried out, resulting in the excellent recognition performances.
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원자로 스팀 제너레이터 홀의 수리 및 자동 검사를 위한 원격제어 로봇시스템 설계
정원용,김종규,한성현,류소평,정동연 韓國工作機械學會 2000 한국생산제조학회지 Vol.9 No.2
In this paper, we propose a new approach to the development of the automatic vision system to examine and repair the steam generator tubes at remote distance. In nuclear power plants, workers are reluctant of works in steam generator because of the high radiation environment and limited working space. It is strongly recommended that the examination and maintenance works be done by an automatic system for the protection of the operator from the radiation exposure. Digital signal processors are used in implementing real time recognition and examination of steam generator tubes in the proposed vision system. Performance of proposed digital vision system is illustrated by simulation and experiment for similar steam generator model.
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정원용 경성대학교 2000 論文集 Vol.21 No.1
In English, there are cases where passives apply to a non-object, that is, the object of a certain preposition, esp a locative preposition. The problem is there are cases where cert In English, there are cases where passives apply to a non-object, that is, the object of ain locative prepositions allow the passive transformation, but some others don't. The approach by the syntactic analyses has not been able to predict the behavior exhaustively. As an alternative, the notion "affectedness" came to have attention. However, it has been found that just this semantic notion of "affectedness" alone can't cover the full range of the peculiar behavior of the preposition used for passive transformation. It is also too irresponsible to appeal to the pragmatics, which can explain certain phenomena more persuasively than the syntactic or the semantic approach. This paper purports to explain the phenomena, expanding the semantic notion of "affectedness". By the expansion of the semantic notion, this paper purports to give a criteria for the pragmatic application. This paper takes note of the fact that the passivization does not apply to the time expression PPs. It is suggested that the inapplicability is due to the "unaffectedness" or "trace-free' nature of "the point of time" As for the "cause" and "manner" and "purpose" PPs, it is suggested that they can all be subsumed as meaning the same thing as the by-phrase, and so making the by-phrase a redundancy. However, this paper can't be taken as providing all the necessary explanation. There still remains some unsolved problems.
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웨이블릿 변환과 신경회로망을 이용한 전력 품질 인식 시스템에 관한 연구
정원용,권진수,Chong, Won-Yong,Gwon, Jin-Soo 한국융합신호처리학회 2010 융합신호처리학회 논문지 (JISPS) Vol.11 No.2
Sag, Swell, Impulsive Transient, Harmonics 등의 비정상 전력품질 신호들은 산업체 전력전자 장비, 속도 조절 장치, 공정 제어 시스템의 운전에 상당히 나쁜 영향을 미쳐 전력 공급자 및 수용가 입장에서 매우 중요한 이슈가 되어왔다. 따라서 본 연구에서는 이상의 전력품질 신호들을 획득, 분석 및 인식하기 위하여 Matlab, Simulink, CCS 등의 소프트웨어와 TI의 TMS320C6713DSK 하드웨어 키트와 웨이블릿 변환과 신경 회로망 역전파 알고리즘을 사용하여 전력품질 인식 시스템을 구현하였다. 이 시스템의 실시간 인식 성능을 파악하기 위하여 SIL(Software In the Loop)와 PIL(Process In The Loop)를 수행하였고, 그 결과 평균 99%의 우수한 인식결과를 보여주었다. Nonstationary power quality(PQ) signals which the Sag, Swell, Impulsive Transients, and Harmonics make sometimes the operations of the industrial power electronics equipment, speed and motion controller, plant process control systems in the undesired environments. So, this PQ problem might be critical issues between power suppliers and consumers. Therefore, We have studied the PQ recognition system in order to acquire, analyze, and recognize the PQ signals using the software, i.e, MATLAB, Simulink, and CCS, and the hardware. i.e., TMS320C6713DSK(TI), The algorithms of the PQ recognition system in the Wavelet transforms and Backpropagation algorithms of the neural networks. Also, in order to verify the real-time performances of the PQ recognition system under the environments of software and hardware systems, SIL(Software In the Loop) and PIL(Processor In the Loop) were carried out, resulting in the excellent recognition performances of average 99%.
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