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유광선(Kwangseon Yoo),박정완(Jeongwan Park),히다카 신이치(Hidaka Sinichi),한석영(Seogyoung Han) 한국생산제조학회 2010 한국생산제조시스템학회 학술발표대회 논문집 Vol.2010 No.10
Optimum design of movable hydraulic crane's booms for weight reduction was performed in this study. Since the boom weight of the presently used booms is very heavy, it is needed to make them lighter structure as possible as we can. Optimum design was performed for the booms by changing from the hexagonal cross section to triangular truss structure under the conditions, which are the allowable stress for the present cross section must be maintained, and the optimized weight must be minimized. As a results, The optimized weight of the booms is reduced to about 19.88% comparing to the original weight.
유광선(Kwangseon Yoo),박정완(Jeongwan Park),히다카 신이치(Hidaka Sinichi),한석영(Seogyoung Han) 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
Optimum design of movable hydraulic crane's booms for weight reduction was performed in this study. Since the boom weight of the presently used booms is very heavy, it is needed to make them lighter structure as possible as we can. Optimum design was performed for the booms by changing from the hexagonal cross section to triangular truss structure under the conditions, which are the allowable stress for the present cross section must be maintained, and the optimized weight must be minimized. As a results, The optimized weight of the booms is reduced to about 19.88% comparing to the original weight.
이호철(Hocheol Lee),박정완(Jeongwan Park) 한국생산제조학회 2011 한국생산제조시스템학회 학술발표대회 논문집 Vol.2011 No.4
Our study for the high speed machining of the custom titanium abutment was experimentally performed. The initial drawings for the STL file format was acquired. Tool path generation for the index table and the 3-axis milling machining center with high speed spindle was used considering the tool breakage with tungsten carbide tool of diameter 3mm. The maximum feed rate of 2,600㎜/min and a maximum spindle rpm of 40,000rpm. The machined abutment has the surface roughness of Ra 0.33 ㎛ while the total machining time is less than 1 hour.
온라인 필기인식을 위한 증가하는 데이터를 이용한 앙상블 기법
김태준(Tae-Jun Kim),장하영(Ha-Young Jang),박정완(Jeongwan Park),황성택(Seongtaek Hwang),장병탁(Byoung-Tak Zhang) 한국정보과학회 2014 정보과학회논문지 : 소프트웨어 및 응용 Vol.41 No.2
모바일 기기의 대중화와 함께 필기체 인식의 중요성은 더욱 커지고 있다. 필기 데이터는 데이터에 존재하는 분산(variance)이 매우 크기 때문에 데이터가 증가함에 따라 문제의 복잡도가 급격히 증가하는 특성이 있다. 이러한 특성으로 인하여 대용량의 데이터를 이용하여 인식기를 학습시키기도 어렵고 학습시간도 길어진다는 문제점이 있다. 본 논문에서는 이러한 문제점들을 해결하기 위한 앙상블 기법을 제시하였다. 제안한 방법론은 모바일 기기를 통해서 축적되는 필기 데이터를 효율적으로 이용하기 위하여 일정량의 데이터가 모일 때마다 새로운 약분류기(weak learner)를 추가함으로써 앙상블 모델을 구축한다. 필기체 인식을 위해서 많이 사용되는 인공신경망은 필기 데이터의 크기가 커짐에 따라서 데이터 내의 분산도 같이 커지는 문제로 인하여 학습 시간이 급격히 증가하게 되는데 앙상블 기법을 이용한 점진적 학습을 통해서 빠른 시간 안에 보다 효율적인 학습이 가능하게 된다. Today’s mobile devices offer more intuitive touch interfaces and support handwriting recognition. The within class variance of handwritten characters causes the growth of complexity in handwriting recognition as data grows. Because of it, more time and efforts are required to train the recognizer as data grows. We propose the ensemble method with batch incremental learning. The proposed method adds the new weak learner to ensemble model, when incremental data reaches certain amount. The ensemble method with batch incremental learning reduces the training time of artificial neural network with large data set. It also tends to cancel out overfitting problem caused by high variance.