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이지웅,황정환,여현 한국통신학회 2014 정보와 통신 Vol.31 No.5
국내 농업은 농가인구의 감소와 고령화로 인해 노동력 부족 현상이 발생하고 있으며, 사료·원부자재비·에너지 비용 등의 생산비 증가와 FTA 등 농업 시장 개방 가속화로 인하여 많은 어려움에 직면해 있다. 또한 소비자의 고품질 농수산물에 대한 수요 증가와 농수산물의 안전성에 관한 관심으로 인하여 농수산물의 품질향상 및 생산성 제고가 필요한 시점이다. 이러한 문제를 해결하기 위해서 농업 ICT 융합기술의 연구와 개발을 통해 농업의 생산정밀화·유통지능화· 소비안전화에 기여하고, 이를 통해 농업 분야의 경쟁력을 제고하는 것이 필요하다. 본 고에서는 농업 ICT 융합기술의 개념과 국내외 농업 ICT 융합 관련 정책 및 연구동향을 살펴보고, 농업 ICT 융합기술 개발 사례와 국내 농업 ICT 융합기술의 문제점을 분석하여 국내 농업 ICT 융합기술의 발전 방안을 모색하고자 한다. 농업 ICT 융합기술의 발전 방안을 모색하고자 한다.
이지웅,최현정,남정수,조수봉,김문현,이상원 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.12
This paper addresses the development of an online tool condition monitoring and diagnosis system for a milling process. To establish a tool condition monitoring and diagnosis system, three modeling algorithms – an Adaptive neuro fuzzy inference system (ANFIS), a Back-propagation neural network (BPNN) and a Response surface methodology (RSM) – are considered. In the course of modeling, the measured milling force signals are processed, and critical features such as Root mean square (RMS) values and node energies are extracted. The RMS values are input variables for the models based on ANFIS and RSM, and the node energies are those for the BPNNbased model. The output variable is the confidence value, which indicates the tool condition states – initial, workable and dull. The tool condition states are defined based on the measured flank wear values of the endmills. During training of the models, numerical confidence values are assigned to each tool condition state: 0 for the initial, 0.5 for the workable and 1 for the dull. An experimental validation was conducted for all three models, and it was found that the RSM-based model is best in terms of lowest root mean square error and highest diagnosis accuracy. Finally, the RSM-based model was used to build an online system to monitor and diagnose the tool condition in the milling process in a real-time manner, and its applicability was successfully demonstrated.
이지웅 韓國受精卵移植學會 2005 한국동물생명공학회지 Vol.20 No.3
The objective of this study was to determine the response of QTL in each generation during selection to develop inbred lines. The simulation program was written in Fortran. Magnitude of QTL effects, base population size, number of QTL assigned to population, and the allelic frequency for the positive allele at each major QTL were highly associated with number of generations to fixation of QTLs during selection. Populations with larger QTL effects and larger base population size had more individuals with fixed QTL. However, a smaller number of QTL assigned to population had a higher fraction of individuals with fixed QTL at each generation compared with more populations with QTL. This simulation study will help to design biological experiments for detection of QTL-marker association using inbred population and to determine optimum number of lines with fixed QTL during inbred line development. To complement this study, additional simulation should be need with abundant replicates, more various population sizes, magnitude of QTL effects, and recombination between markers and QTLs.