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이기돈(Lee Ki Don) 호서대학교 사회과학연구소 1986 社會科學硏究 Vol.5 No.1
An algorithm has been developed to classify various types of fingerprints into 10 classes by using a syntactic method. The image is divided into 16 by 16 segments and directional codes are chosen for each segment. By smoothing directional codes, primitives of a fingerprint are extracted. One dimensional string structures are obtained from their connective relations. As a result of experiments of 50 fingerprints, the classification rates are 94%.
이기돈(Ki-Don Lee),신동윤(Dong-Yoon Shin),김광용(Kwang-Yong Kim) 한국유체기계학회 2007 유체기계 연구개발 발표회 논문집 Vol.- No.-
Shape optimization of a channels with opposite and single wall roughened by staggered arrays of dimples is performed to enhance turbulent heat transfer compromising with friction drag. The response surface based optimization method is used as an optimization technique with Reynolds-averaged Navier-Stokes analysis of fluid flow and heat transfer with shear stress transport (SST) turbulence model. The dimple depth-to-dimple print diameter ratio, channel height-to-dimple print diameter ratio and dimple print diameter-to-pitch ratio are chosen as design variables. The objective function is defined as a linear combination of heat transfer related term and friction loss related term with a weighting factor. Latin Hypercube Sampling is used to determined the training points as a mean of the design of experiment. The optimum shape remarkable performance in comparison with a reference shape.
이기돈(Ki-Don Lee),김광용(Kwang-Yong Kim) 대한기계학회 2008 大韓機械學會論文集B Vol.32 No.12
This study presents a numerical procedure to optimize the shape of cylindrical cooling hole to enhance film-cooling effectiveness. The RBNN method is used as an optimization technique with Reynolds-averaged Navier-Stokes analysis of fluid flow and heat transfer with shear stress transport turbulent model. The hole length-to-diameter ratio and injection angle are chosen as design variables and film-cooling effectiveness is considered as objective function which is to be maximized. Twelve training points are obtained by Latin Hypercube Sampling for two design variables. In the sensitivity analysis, it is found that the objective function is more sensitive to the injection angle of hole than the hole length-to diameter ratio. Optimum shape gives considerable increase in film-cooling effectiveness.
이기돈(Ki-Don Lee),김광용(Kwang-Yong Kim) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.5
Fan-shaped film-cooling hole is formulated numerically and optimized to enhance film-cooling effectiveness. The radial basis neural network method is used an optimization technique with Reynolds-averaged Navier-Stokes analysis of fluid and heat transfer with shear stress transport model. The injection angle of hole, lateral expansion angle of the hole and ratio of the length-to-diameter of the hole are chosen as design variables and spatially-averaged film-cooling effectiveness is considered as an objective function which is to be maximized. Twenty training points are obtained by Latin Hypercube sampling for three design variables. Sequential quadratic programming is used to search for the optimal point from the constructed surrogate. The film-cooling effectiveness has been successfully improved by the optimization with increased value of all design variables as compared to the reference geometry.