• 한국산학기술학회논문지
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• 제20권10호
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• pp.277-283
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• 2019

기술의 발전으로 다양한 부품의 개발 및 상용화는 가능 하였으나, 이에 따라 부품의 단종 주기는 단축 되었다. 이는 수천 품목 이상의 부품을 활용하여 개발하고, 장기간 운영하는 무기체계의 수리 부속 보급을 어렵게 하였으며, 무기체계 운용 가용도 저하의 주요 원인으로 작용하였다. 이러한 문제를 해결하기 위하여 미국 등은 전담 기구를 만들어 대응하고 있으며, 국내에서는 상용 부품단종 예측도구를 활용하여 단종을 예측하고 관리하고 있다. 하지만 상용 부품단종 예측도구에서 단종 정보가 제시되지 않는 부품에 대한 대응 및 관리는 부재한 실정이다. 이에 본 연구에서는 상용 부품단종 예측도구에서 제공하는 부품에 대한 정형, 비정형 빅데이터를 수집하고, 데이터 전처리 및 Embedding 과정을 거쳐, 신경망 학습 알고리즘을 적용하여, 상용 부품에 대한 단종 정보 (LC Risk, YTEOL)를 예측하는 방안을 제시하였다. 또한 제시된 모델의 예측 성능을 데이터 기술 통계량과 비교 평가 하여, 본 연구에서 제시한 학습 모델의 타당성을 검증 하였다. 결론에는 본 연구의 활용 방안과 한계점 및 발전 방향에 대하여 기술 하였다.

• Bulletin of the Korean Chemical Society
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• 제24권12호
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• pp.1742-1750
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• 2003

In order to characterize the hydrophobic parameters of N-acetyl amino acid amides in 1-octanol/water, a theoretical calculation was carried out using a solvation free energy density model. The hydrophobicity parameters of the molecules are obtained with the consideration of the solvation free energy over the solvent volume surrounding the solute, using a grid model. Our method can account for the solvent accessible surface area of the molecules according to conformational variations. Through a comparison of the hydrophobicity of our calculation and that of other experimental/theoretical works, the solvation free energy density model is proven to be a useful tool for the evaluation of the hydrophobicity of amino acids and peptides. In order to evaluate the solvation free energy density model as a method of calculating the activity of drugs using the hydrophobicity of its building blocks, the contracture of Bradykinin potentiating pentapeptide was also predicted from the hydrophobicity of each residue. The solvation free energy density model can be used to employ descriptors for the prediction of peptide activities in drug discovery, as well as to calculate the hydrophobicity of amino acids.

• 한국정밀공학회지
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• 제5권1호
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• pp.40-49
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• 1988

The chip control problem is one of the important subjects to be studied in the metal cutting process. Especially, an important practical problem concerns the form of chips pro- duced in machining since this has important implications relative to : 1. Personal safety. 2. Possible damage to equipment and product. 3. Handling and disposal of swarf after machining. 4. Cutting forces, temperatures, and tool life. However, a dependable way to predict the form of chips in a wide range of cutting conditions has not been established satisfactorily. In this paper, the relationship between the form of chips and the ratios of cutting forces were studied experimentally. According to what the experiments have been carried out in the turning process the main results can be summarized as follows : 1. By use of the multiple linear regression model, emperical formulas which are suitable to wide ranges of cutting conditions with accuracy were obtained satisfactorily. 2. The correlations between the form of chips based upon the classification by Henriksen and the ratios of cutting forces, namely (feeding force/thrust force), (principal force/feeding force) were determined. 3. Using above results, the algorithms which predict the form of chips were constituted. With these algorithms, the form of chips in a wide range of cutting of cutting conditions can be predicted.

• Geomechanics and Engineering
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• 제18권5호
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• pp.493-502
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• 2019

Internal stability is an important safety issue for levees, embankments, and other earthen structures. Since a large part of the world's population lives near oceans, lakes and rivers, floods resulting from breaching of dams can lead to devastating disasters with tremendous loss of life and property, especially in densely populated areas. There are some main factors that affect the internal stability of dams, levees and other earthen structures, such as the erodibility of the soil, the water velocity inside the soil mass and the geometry of the earthen structure, etc. Thus, the mechanism of internal erosion and stability of soils is very complicated and it is vital to investigate the assessment methods of internal stability of soils in embankment dams and their foundations. This paper presents an improved support vector machine (SVM) model to predict the internal stability of soils. The grid search algorithm (GSA) is employed to find the optimal parameters of SVM firstly, and then the cross - validation (CV) method is employed to estimate the classification accuracy of the GSA-SVM model. Two examples of internal stability of soils are presented to validate the predictive capability of the proposed GSA-SVM model. In addition to verify the effectiveness of the proposed GSA-SVM model, the predictions from the proposed GSA-SVM model were compared with those from the traditional back propagation neural network (BPNN) model. The results showed that the proposed GSA-SVM model is a feasible and efficient tool for assessing the internal stability of soils with high accuracy.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.142-142
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• 2021

An arbitrary representation of an urban drainage sewer system was devised using a geographic information system (GIS) tool in order to calculate the surface and subsurface flow interaction for simulating urban flood. The proposed methodology is a mean to supplement the unavailability of systematized drainage system using high-resolution digital elevation(DEM) data in under-developed countries. A modified DEM was also developed to represent the flood propagation through buildings and road system from digital surface models (DSM) and barely visible streams in digital terrain models (DTM). The manhole, sewer pipe and storm drain parameters are obtained through field validation and followed the guidelines from the Plumbing law of the Philippines. The flow discharge from surface to the devised sewer pipes through the storm drains are calculated. The resulting flood simulation using the modified DEM was validated using the observed flood inundation during a rainfall event. The proposed methodology for constructing a hypothetical drainage system allows parameter adjustments such as size, elevation, location, slope, etc. which permits the flood depth prediction for variable factors the Plumbing law. The research can therefore be employed to simulate urban flood forecasts that can be utilized from traffic advisories to early warning procedures during extreme rainfall events.

• 한국수소및신에너지학회논문집
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• 제31권5호
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• pp.489-497
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• 2020

The Li-ion battery is considered to be one of the potential power sources for electric vehicles. In fact, the efficiency, reliability, and cycle life of Li-ion batteries are highly influenced by their thermal conditions. Therefore, a novel thermal management system is highly required to simultaneously achieve high performance and long life of the battery pack. Basically, thermal modeling is a key issue for the novel thermal management of Li-ion battery systems. In this paper, as a basic study for battery thermal modeling, temperature distributions inside the simple Li-ion battery pack (comprises of nine 18650 Li-ion batteries) under a 1C discharging condition were investigated using measurement and computational fluid dynamics (CFD) simulation approaches. The heat flux boundary conditions of battery cells for the CFD thermal analysis of battery pack were provided by the measurement of single battery cell temperature. The temperature distribution inside the battery pack were compared at six monitoring locations. Results show that the accurate estimation of heat flux at the surface of single cylindrical battery is paramount to the prediction of temperature distributions inside the Li-ion battery under various discharging conditions (C-rates). It is considered that the research approach for the estimation of temperature distribution used in this study can be used as a basic tool to understand the thermal behavior of Li-ion battery pack for the construction of effective battery thermal management systems.

• 한국신뢰성학회지:신뢰성응용연구
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• 제17권4호
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• pp.280-288
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• 2017

Purpose: PBA buried in underwater requires high reliability because of its mission critical characteristic and harsh operational environment during its life cycle. Therefore, various reliability improvement activities are necessary. The defect on PBA manufacturing process have been studied, as a result, many activities and standards have been presented. However, there are less studies regarding failure pattern on physical features based on design. In this paper, we studied a possible failure patten based on physical features that is related with manufacturing process of PBA. And reliability improvement design based on PoF (Physical of Failure) were intruduced in this paper. Methods: A reliability prediction simulation were performed on the components A and B of the H system using Sherlock Software which is a PoF commercial tool from DFR solution. Solder fatigue and PTH fatigue analysis based on thermal cycling profiles and random vibration was analyzed on three earthquake response spectrum. Result: It was validated that life time and reliability improvement design through solder fatigue and PTH fatigue analysis in case of component. For compoenet B, random vibration fatigue was additionally analyzed and validated reliability for earthquakes profile. Conclusion: In design stage prior to manufacturing, PoF can be analyzed, and it is possible to make a reliability improvement/validated design using design data. This study can be applied in every design step and contribute to make more stable development product.

• The Journal of Korean Physical Therapy
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• 제25권5호
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• pp.330-336
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• 2013

Purpose: Respiratory is an essential vital component for conservation of life in human, which is controlled by respiratory muscles and its related neuromuscular regulation. The purpose of this study is to assess lung capacity and respiratory pressure in healthy children, and to investigate relationship and predictability between respiratory pressure and other related respiratory functions. Methods: A total of 31 healthy children were recruited for this study. Demographic information and respiratory related factors were assessed in terms of body surface area (BSA), chest mobility, lung capacity, and respiratory pressure. Correlation between respiratory pressure and the rested variables was analyzed, and multiple regression using the stepwise method was performed for prediction of respiratory muscle strength, in terms of respiratory pressure as the dependent variable, and demographic and other respiratory variables as the independent variable. Results: According to the results of correlation analysis, respiratory pressure showed significant correlation with age (r=0.62, p<0.01), BSA (r=0.80, p<0.01), FVC (r=0.80, p<0.01), and FEV1 (r=0.70, p<0.01). In results of multiple regression analysis using the backward elimination method, BSA and FVC were included as significant factors of the predictable statistical model. The statistical model showed a significant explanation power of 71.8%. Conclusion: These findings suggest that respiratory pressure could be a valuable measurement tool for evaluation of respiratory function, because of significant relationship with physical characteristics and lung capacity, and that BSA and FVC could be possible predictable factors to explain the degree of respiratory pressure. These findings will provide useful information for clinical assessment and treatment in healthy children as well as those with pulmonary disease.

• 한국항공우주학회지
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• 제46권2호
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• pp.167-174
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• 2018

달 착륙선에는 14일에 이르는 밤 구간동안 극한의 열환경에서 생존하기 위한 열원공급을 목적으로 히터가 적용되며, 이 때 전력생성이 제한되는 착륙선의 소요전력을 최소화하는 히터 작동 온도 설정치가 결정되어야 한다. 또한 상기 온도 설정치에 따른 착륙선의 온도 변화는 탑재 전장품에 적용된 전자소자의 솔더 접합부에 대한 열기계적 신뢰성과 연관되는 중요한 설계인자이다. 본 논문에서는 임무수명이 1년인 달 착륙선의 열해석 결과를 토대로 상용 신뢰성 수명예측도구인 Sherlock을 활용하여 상기의 온도 설정치에 따른 솔더 접합부의 열 기계적 신뢰성을 검토하였다.

• 경영정보학연구
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• 제10권2호
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• pp.195-209
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• 2008

고객의 니즈가 시시각각 변화하는 경영환경에서 획일화된 매장관리 방법으로 매장의 수익성을 증대시키기에는 한계가 있다. 따라서 고객의 선호 변화를 예측하여 각 매장에 적절한 상품을 추천할 필요가 있다. 본 연구에서는 판매 데이터 분석을 통해 시간 순서를 고려한 상품 추천 및 매장관리 방법을 제안한다. 즉 자기조직화지도(Self Organizing Map) 알고리즘을 이용하여 매장의 판매 프로파일을 군집화하고, 매장 궤적의 예측을 통해 목표 매장을 관리하는 방법을 제시한다. 본 연구의 방법론을 검증하기 위해 (주)더페이스샵 판매데이터를 적용하여 평가하였으며, 평가결과 제시한 방법론은 화장품처럼 유행에 민감하고 라이프사이클이 짧은 특징을 지닌 상품을 판매하는 매장의 수익성 증대에 기여할 수 있을 것으로 기대된다.