• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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• pp.253-260
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• 1999

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end of life phase. Disposal products have the uncertainties of product status by usage influences during product use phase and recycling cells are formed design, process and usage attributes. In order to treat the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. In this paper, a heuristic approach for fuzzy ART neural network is suggested. The modified Fuzzy ART neural network is shown that it has a great efficiency and give an extension for systematically generating alternative solutions in the recycling cell formation problem. We present the results of this approach applied to disposal refrigerators and the comparison of performances between other algorithms. This paper introduced a procedure which integrates economic and environmental factors into the disassembly of disposal products for recycling in recycling cells. A qualitative method of disassembly analysis is developed and its aim is to improve the efficiency of the disassembly and to generated an optimal disassembly which maximize profits and minimize environmental impact. Three criteria established to reduce the search space and facilitate recycling opportunities.

• 한국통신학회논문지
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• 제32권3C호
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• pp.331-337
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• 2007

본 논문에서는 MIMO-OFDM 시스템에서 월쉬 부호화된 훈련신호를 이용하는 새로운 채널 추정 방식을 제안하였다. 월쉬 부호화된 훈련신호는 시간 영역에서 서로 직교하도록 설계된다. 이러한 직교성을 이용하여 월쉬 디코딩을 수행하면 시간 영역에서 원하는 훈련 신호를 분리할 수 있고 채널 추정이 가능하다. 컴퓨터 시뮬레이션 결과 제안된 방법은 계산량 감소에도 불구하고 최적 훈련 신호를 사용하는Li의 원래 방법[4]과 비교했을 때 거의 동일한 mean square error (MSE) 성능을 보였다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.565-570
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• 2007

Fiber reinforced polymer(FRP) composite decks are new to bridge applications and hence not much literature exists on their structural mechanical behavior. As there are many differences between numerical displacements through static analysis of the primary model and experimental displacements through static load tests, system identification (SI)techniques such as Neural Networks (NN) and support vector machines (SVM) utilized in the optimization of the FE model. During the process of identification, displacements were used as input while stiffness as outputs. Through the comparison of numerical displacements after SI and experimental displacements, it can note that NN and SVM would be effective SI methods in modeling an FRP deck. Moreover, two methods such as response surface method and iteration were proposed to optimize the estimated stiffness. Finally, the results were compared through the mean square error (MSE) of the differences between numerical displacements and experimental displacements at 6 points.

• 한국인터넷방송통신학회논문지
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• 제16권2호
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• pp.113-122
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• 2016

본 연구에서는, 웨이블릿 노이즈 감쇠에 고속 푸리에 역 변환을 포함하는 방법을 제안한다. 위너 필터링에 인자를 채용하여 역 필터링을 나타내고, 최적의 계수는 전체 평균 제곱 오차를 최소화하도록 선택된다. 위너 필터를 적용하기 위해, 손상된 그림에서 원 화상의 파워 스펙트럼을 계산한다. 위너 필터링은 역 필터링 처리를 포함하기 때문에 블링 필터가 반전되지 않을 때 노이즈는 확장한다. 큰 노이즈를 제거하려면 최고의 웨이블릿 임계값을 사용하여 노이즈를 제거하는 것이다. 웨이블릿 노이즈 감쇠 단계는 역 필터링 및 웨이블릿 기능으로 노이즈 감소로 구성된다. 실험결과는 전체 재생 성능 이상의 다른 방법을 능가하지는 않았다.

• Journal of Information Technology Applications and Management
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• 제12권2호
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• pp.1-13
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• 2005

This paper proposes a software-reliability growth model incoporating the amount of testing effort expended during the software testing phase after developing it. The time-dependent behavior of testing effort expenditures is described by a Logistic curve. Assuming that the error detection rate to the amount of testing effort spent during the testing phase is proportional to the current error content, a software-reliability growth model is formulated by a nonhomogeneous Poisson process. Using this model the method of data analysis for software reliability measurement is developed. After defining a software reliability, This paper discusses the relations between testing time and reliability and between duration following failure fixing and reliability are studied. SRGM in several literatures has used the exponential curve, Railleigh curve or Weibull curve as an amount of testing effort during software testing phase. However, it might not be appropriate to represent the consumption curve for testing effort by one of already proposed curves in some software development environments. Therefore, this paper shows that a logistic testing-effort function can be adequately expressed as a software development/testing effort curve and that it gives a good predictive capability based on real failure data.

• Structural Engineering and Mechanics
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• 제83권1호
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• pp.79-92
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• 2022

In this paper, the impact of a vernacular pozzolanic kaolinite mine on concrete alkali-silica reaction and strength has been evaluated. For making the samples, kaolinite powder with various levels has been used in the quality specification test of aggregates based on the ASTM C1260 standard in order to investigate the effect of kaolinite particles on reducing the reaction of the mortar bars. The compressive strength, X-Ray Diffraction (XRD) and Scanning Electron Microscope (SEM) experiments have been performed on concrete specimens. The obtained results show that addition of kaolinite powder to concrete will cause a pozzolanic reaction and decrease the permeability of concrete samples comparing to the reference concrete specimen. Further, various machine learning methods have been used to predict ASR-induced expansion per different amounts of kaolinite. In the process of modeling methods, optimal method is considered to have the lowest mean square error (MSE) simultaneous to having the highest correlation coefficient (R). Therefore, to evaluate the efficiency of the proposed model, the results of the support vector machine (SVM) method were compared with the decision tree method, regression analysis and neural network algorithm. The results of comparison of forecasting tools showed that support vector machines have outperformed the results of other methods. Therefore, the support vector machine method can be mentioned as an effective approach to predict ASR-induced expansion.

• 대한수의학회지
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• 제43권3호
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• pp.493-500
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• 2003

This study was performed to determine the optimal dose of ozone for wound healing. Twenty Korean black goats were allocated to 4 groups. The skin wound with $1{\times}1cm$ was induced over the hoof. For 5 minutes per day, 0.1 ppm (Group I), 1 ppm (Group II) and 6 ppm (Group III) ozone gas was applied. In control group, 5 ml of normal saline was applied daily on the wound. Wound square was determined using color image analyzer at day 0, 4 and 14. Soft tissue depth of wound was determined using radiograph. Before the application of ozone gas, $1{\times}1cm$ of skin tissue was resected and observed for histopathologic findings. To determine the healing effect, $2{\times}1cm$ of wound tissue was resected and observed for histopathologic findings at day 14. In mean squares of wound, all experimental groups revealed more reduced mean squares than control group at day 4, and especially Group II (p<0.05) and Group III (p<0.05) revealed significant reduction. At day 14, Group I and Group II (p<0.05) revealed more reduced mean squares than control group, but Group III revealed less reduced mean squares than control group. In soft tissue depth of wound, all experimental groups and control group revealed swelling at day 4, compared with day 0. At day 14, all experimental groups and control group revealed reduction, compared with day 4, and especially Group II (p<0.05) revealed significant reduction. In histopathological findings, inflammation findings in epidermis and dermis, hemorrhagic finding in epidermis were revealed in control group. In Group I, inflammation finding was reduced, compared with control group. Formation of scab and many reepithelialization of epidermis were revealed. In Group II, inflammation findings in epidermis and dermis which were observed in control group were not found, normal skin tissue was revealed. In Group III, inflammation findings in epidermis and dermis were revealed, reepithelialization of epidermis was not founded. Slow healing process was observed, compared with Group I and II. It was concluded that Group II has excellent promotion effect of wound healing.

• 지질공학
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• 제14권1호
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• pp.21-28
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• 2004

지형효과를 포함하는 3차원 전기비저항 역산법은 전기비저항 탐사자료의 해석에 있어서 실제 지하구조에 존재하는 3차원 전도성 이상체의 특성을 파악함으로써 원리적으로 정확한 영상을 획득할 수 있는 방법이라고 본다. 본 연구는 수치모델링에서 유한요소법을 이용하였으며, 역산에서 설정된 블록에 대하여 감도 분석을 통하여 자코비안 계산의 효율성을 극대화하였다. 또한 역산과정에서는 라그랑지 곱수의 값을 변화시키면서 최소자승근 오차의 최소가 되는 최적의 값을 선택하는 방법으로 역산의 분해능을 향상 시켰다. 전기비저항 탐사에서 지형효과의 해석으로는 지형 의 기복을 포함하여 얻어진 순차모델링 자료를 가지고 역산 방법에서 지형의 기복을 무시하여 얻어진 결과와 지형의 기복을 포함하여 얻어진 결과를 비교하여 불규칙한 지형효과에 의한 왜곡된 전기장 반응으로 인한 오해석을 파악하는데 있다.

• 한국산업보건학회지
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• 제29권2호
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• pp.259-269
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• 2019

Objective: This study was conducted to prepare fundamental data and assess the relationship between level of exposure to airborne respirable dust, chest radiation findings, and the results of pulmonary function tests among workers in a cloth manufacturing factory. Methods: The number of total subjects was 144 (124 female and 20 male) workers in a cloth manufacturing factory in the city of Busan. This study measured the concentration of airborne respirable dust by gravimetric analysis and performed pulmonary function testing, and got chest radiation findings from December 1, 2016 to March 31, 2017. Collected data was analyzed using the IBM SPSS statistical package program (ver. 24.0). Results: The mean concentration of respirable dust was the highest in the cutting process. The effecting factors on $FEV_1/FVC$ were age, sex, and working process. The effecting factors on chest radiation findings were doing no exercise and concentration of respirable dust. Conclusions: Based on the above results, the authors consider there to be a need to secure sufficient working space and improve the engineering systems, for example the overall or local ventilation, in order to minimize the exposure to respirable dust. Health education and health promotion activities should also be improved in order to maintain optimal health status. The authors expect further studies to be performed on pulmonary function testing, chest radiation findings, and symptoms related to pulmonary function, including continuous observation, among workers in a cloth manufacturing factory.

• 공업화학
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• 제34권2호
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• pp.137-143
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• 2023

본 연구에서는 알팔파로부터 추출한 천연계면활성제를 사용하여 중심합성설계모델(CCD-RSM)을 이용한 O/W 유화제조 공정의 최적화를 수행하였다. 그 결과 95% 신뢰구간에서 최적화 결과의 통계학적 합리성을 확인하였다. CCD-RSM을 통하여 독립변수인 알팔파 추출물:Sugar ester S-370의 혼합비율(P), 계면활성제의 첨가량(W) 및 유화속도(R)가 반응치인 유화안정도지수(ESI), 평균입자크기(MDS) 및 점도(V)에 끼치는 영향을 조사하여 O/W 유화제조공정의 최적조건을 산출하였다. 유화안정도지수, 평균입자크기 및 점도에 관한 회귀방정식으로부터 다중반응을 수행하여 3가지 반응치를 동시에 만족하는 최적 유화조건으로 알팔파 추출물:Sugar ester S-370의 혼합비율은 49.5 wt%, 계면활성제의 첨가량 9.1 wt%, 유화속도 6559.5 rpm으로 나타났으며 산출된 반응치의 응답값은 ESI는 89.9%, MDS는 1058.4 nm, V는 1522.5 cP로 산출되었다. 이를 실험으로 확인한 결과 ESI는 88.7%, MDS는 1026.4 nm, V는 1486.5 cP이었으며 평균 오차율은 2.3 (± 0.4)%이었다. 따라서 CCD-RSM을 실제 유화 제조에 적용하여 만족스러운 O/W 유화제조 공정조건을 얻을 수 있었다.