• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.682-684
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• 2002

최근 여러 논문에서 실 데이터 종속을 제거하기 위하여 결과 값 예상 기법을 제안하였다. 결과 값 예상 기법 중 혼합형 결과 값 예측기는 다양한 패턴을 갖는 명령어를 모두 예측함으로써 높은 예상 정확도를 얻을 수 있지만 하나의 명령어가 여러 개의 예측기 테이블에 중복 저장되어 높은 하드웨어 비용을 요구한다는 단점이 있다. 본 논문에서는 이러한 단점을 극복하기 위하여 프로파일링으로 얻어진 정적 분류 정보를 사용하여, 명령어률 예상 정확도가 높은 예측기에만 할당하여 예상 테이블 크기를 감소 시켰다. 또한 동적으로 적절한 예측기를 선택하도록 함으로써 예상 정확도를 더욱 향상 시켰다. 본 논문에서는 SPECint95 벤치마크 프로그램에 대해 SimpleScalar/PISA 3.0 툴셋을 사용하여 실험하였다. 정적-동적 분류 정보를 모두 사용하였을 경우 87.9%, VHT 크기를 4K로 축소한 경우 87.5%로 비슷한 예상정확도를 얻으면서 예상 테이블의 크기는 50%로 감소하였다. 또한 실행 패턴의 유형 비율에 따라 각 예측기의 VHT를 구성한 경우 예상 테이블 크기를 25%로 줄일 수 있었다.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.25-33
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• 2017

The purpose of this study was using a meta-analysis to estimate effect size of emotional intelligence program. Using a statistical method, meta-analysis has advantages that prove intervention's amount and direction. Meta-analysis facilitates comprehensive analysis. Through the data collection, 33studies were selected and 92 effect size were calculated as analysis objects. The overall effect size of emotional intelligence program was 0.839. Depend on subordinate scope, the emotional cognition had the largest effect size. Next were the understanding domain, application domain, the regulation domain and the expression domain. Analysis on age of participant, adult group had the largest effect size. Next were the elementary students group and the adolescent group. Based on the findings, implications for future study were discussed.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.796-799
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• 1996

광섬유는 코어(Core), 클레드(Clad), 그리고 1,2차 코팅(Coating)으로 구성되어 있다. 본 연구에서는 광섬유의 코팅에 생기는 결함의 유무 및 종류와 크기를 분류하는 Vision System을 구현하였다. 전처리 과정으로, CCD Camera를 이용하여 얻은 화상에 대하여 Sobel 연산자로 경계선을 추출하고, 문턱값(Threshold Value)을 적용하여 이진 화상을 만든다. 외경 정보 추출을 위하여, 투영 정보, 수리 형태학(Mathematical Morphology)적 연산을 수행하고, 결함의 종류와 크기를 효율적으로 분류하도록 Tree Classifier를 설계하였다. 실험 결과로서 각 결함 별 오차율, 전체 오차율(Total Error Rate)등을 제시하였다.

• Journal of Bio-Environment Control
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• v.6 no.3
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• pp.183-189
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• 1997

This study was performed to Investigate size of droplet sprinkled from mini-sprinkler. Twelve different kinds of the sprinkler having various structures and sizes of nozzle orifices were selected and tested. Diameters of the droplet reached at several distances from a sprinkler were measured by a machine vision system and the volume median diameters (VMM) were determined statistically. The size of droplet was not affected much by the size of nozzle orifice of a sprinkler but was rather more affected by structure of the sprinkler, especially by the shape of spreader of the sprinkler. Experiment of varying pressure of sprinkling water validated that the size of droplet was inversely proportional to water pressure powered by 1/3. Hence the size of droplet at any water pressure could be easily estimated from experimental data. The size of droplet increased as travel distance of the droplet increases in a relationship of and order function. The size of droplet of the tested sprinkler were in the ranges of 100-300fm within 1m of droplet travel distance, 230~470${\mu}{\textrm}{m}$ within 1~2m of droplet travel distance and 300~770${\mu}{\textrm}{m}$ within 2~3m of droplet travel distance.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.41-47
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• 2020

This study aims to investigate effects of brain-based learning. 27 primary studies were selected through rigorous search process and analyzed through meta-analytic methods. Research findings are as follows. First, the total effect size was .67. Second, the effect of dependent variables was academic achievement, cognitive domain, and affective domain in order. Third, with respect to types of cognitive domain, the effect was self-regulation, creativity, competence, communication, and research ability in order. Fourth, the effect of affective domains was sociality, learning interest, and subject attitude in order. Fifth, regarding development of cognitive ability, the effect size was combined, brain training, learning environments, and right brain activities in order. Sixth, the effect of learning activities was memory improvement and attention enhancement in order.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.586-589
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• 2011

치과 진료시 파노라마 장치를 이용한 검사에서 유리선량계를 사용하여 피검자의 피폭선량을 측정하였다. 특히 방사선에 민감한 수정체의 피폭선량을 줄이기 위하여 자체 제작한 Pb 밴딩의 크기에 따라 수정체 피폭선량을 측정한 결과 Pb밴딩의 크기에 따라서 수정체의 피폭선량이 다르다는 것을 확인할 수 있었다. Pb밴딩의 크기가 3*20*0.2cm에서는 정상치보다 피폭선량이 증가하는 경향을 보였으며 5*20*0.2cm 이상의 크기에서는 피폭선량이 감소하는 결과를 보였다. 또한 획득되어진 영상 7*20*0.2cm 크기에서 진단에 부적합한 영상으로 판정 되었다. 그러므로 피폭선량을 최소화하고 효과적인 파노라마 검사를 수행하기 위해서는 Pb 밴딩 5*20*0.2cm이상 6*20*0.2cm이하 크기를 사용하여 검사에 활용하면 피폭선량이 감소될 것으로 기대한다.

• The Korean Journal of Rheology
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• v.3 no.2
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• pp.124-134
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• 1991

세라믹 재료들을 성공적으로 사출성형하기 위한 적절한 사출조건을 얻기 위하여 그 동안 많은 실험을 하여 왔으나 게이트 크기가 미치는 영향에 대한 연구는 미진하였다. 본 연구에선 압출기를 사용하여 미세한 질화규소분말과 결합제시스템을 혼합하였으며 이러한 세라믹혼합물을 이용하여 사출압력, 보압시간, 보압, 배럴온도, 게이트의 형태와 크기 등을 변화시키면서 사출성형 실험을 수행하였다. 55%의 세라믹혼합물을 사출실험한 결과 적절한 게이트의 크기와 형태를 선택하고 105 MPa의 사출압력과 10초의 보압시간, 24$0^{\circ}C$의 배럴온 도와 같은 사출조건하에서 성형한다면 불완전 충전 체적수축과 젯팅현상을 최소화시킬수 있 어 성공적으로 인장시편과 굽힘시편을 성형할 수 있음을 알수있었다. 상용프로그램인 C-MOLD를 이용하여 사출조건과 게이트의 크기를 변화시키면서 혼합물의 유동특성을 해석 하였다. 유동해석 결과. 세라믹혼합물은 순수고분자보다 열전도도가 크고 비열이 작아서 고 화가 빨리 되므로 게이트의 크기는 사출압력, 배럴온도와 같은 사출조건과 더불어 중요한 사풀변수임을 예측할 수 있었다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.1
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• pp.63-70
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• 2010

In this paper, we study the structure of neural network for predicting defect size of steam generator tube. After extracting the features from the eddy current testing (ECT) signals, multi-layer neural networks are used to predict the defect size. In order to maximize the prediction performance for the defect size, we should carefully choose the structure of neural networks, especially the number of neurons in the hidden layer. In this paper, it is shown that, for the prediction of defect size, the number of neurons in the hidden layer can be efficiently determined by using cross-validation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.9A
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• pp.1419-1424
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• 1999

In order to implement morphological filters on image processing systems, the size of structuring element must be small due to the architectural constraints of the systems, which requires the decomposition of structuring element into small elements for the filters with large structuring elements. In this paper, an algorithm for decomposition of structuring element with no restriction on the shape and size is developed which enables sub-optimal implementation of any morphological filter on 3X3 pipeline machine. The given structuring element is first decomposed into the union of elements using sequential search procedure, then each element is further decomposed optimally into 3X3 elements, resulting in final sub-optimal 3$\times$3 hybrid decomposition. The proposed algorithm is applied to some structuring elements and the results close to the optimum are obtained.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.1
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• pp.38-44
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• 2003

Performance demonstration with real flawed specimens has been strongly required for nondestructive evaluation of safety class components in nuclear power plant. Mechanical or thermal fatigue crack and intergranular stress corrosion cracking could be occured in the in-service nuclear power plant and mechanical fatigue crack was selected to study in this paper. Specimen was designed to produce mechanical fatigue flaw under tensile stress. The number of cycles and the level of stress were controlled to obtain the desired flaw roughness. After the accurate physical measurement of the flaw size and location, fracture surface was seal-welded in place to ensure the designed location and site. The remaining weld groove was then filled by using gas-tungsten are welding(GTAW) and flux-cored arc welding(FCAW). Results of radio graphic and ultrasonic testing showed that fatigue cracks were consistent with the designed size and location in the final specimens.