• International Journal of Naval Architecture and Ocean Engineering
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• 제12권1호
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• pp.428-439
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• 2020

The continuous development of information and communication technologies has resulted in an exponential increase in data. Consequently, technologies related to data analysis are growing in importance. The shipbuilding industry has high production uncertainty and variability, which has created an urgent need for data analysis techniques, such as machine learning. In particular, the industry cannot effectively respond to changes in the production-related standard time information systems, such as the basic cycle time and lead time. Improvement measures are necessary to enable the industry to respond swiftly to changes in the production environment. In this study, the lead times for fabrication, assembly of ship block, spool fabrication and painting were predicted using machine learning technology to propose a new management method for the process lead time using a master data system for the time element in the production data. Data preprocessing was performed in various ways using R and Python, which are open source programming languages, and process variables were selected considering their relationships with the lead time through correlation analysis and analysis of variables. Various machine learning, deep learning, and ensemble learning algorithms were applied to create the lead time prediction models. In addition, the applicability of the proposed machine learning methodology to standard work hour prediction was verified by evaluating the prediction models using the evaluation criteria, such as the Mean Absolute Percentage Error (MAPE) and Root Mean Squared Logarithmic Error (RMSLE).

• 해운물류연구
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• 제35권1호
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• pp.93-109
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• 2019

본 연구는 혼합주기모형을 해운경기 예측에 활용하기 위해 기존의 비선형 장기균형관계분석에서 통계적으로 유의한 요인들을 단기모형에 적용하였다. 가장 일반적인 단일변수(univariate) AR(1) 모형과 혼합주기모형으로부터 각각 표본외 예측을 실시하여 예측오차와 비교한 결과 혼합주기모형의 예측력이 AR(1) 모형보다 향상됨을 확인하였다. 이러한 실증분석은 새로운 고차원 혼합주기모형이 해운경기변동 예측에 유용한 모형임을 의미하며, 즉, 최근 다변수 시계열 자료가 주로 장기균형관계(long-run equilibrium)를 대상으로 하고 있는데, 고차주기와 같은 정보를 분석에 포함할 경우 단기 해운경기 분석모형의 예측력이 향상될 수 있음을 의미하는 분석결과이다.

• 무역학회지
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• 제45권4호
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• pp.107-123
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• 2020

The purpose of this paper is to analyze the Granger Causality relations between Korean FDI and exports in Vietnam using time-series from 2005 to 2019. Using 15-industry semi-annual data of Korean FDI and exports toward Vietnam, the Granger Causality Tests were conducted. Var and VEC models were decided after unit-root and cointegration tests of variables. Findings and implications of the empirical tests are as follows. First, unexpectedly FDI did not Grange-cause exports only in one direction. In two industries, food & beverage and medical & chemical products, there were Granger causality relations in both directions. In eight industries including print, publishig, pulp & paper, exports did Grange-cause FDI. In the rest of five industries including automative & trailer industry, there were no Granger Causality relation in both directions. Second, we presume that the both direction-causality relations are desirable phenomenon for Korea. Because Korean FDI and exports are increasing at the same time. On the other hand, substitution relationship between Korea's exports and FDI occur in the industry that exports did Grange-cause FDI. Finally, more in-depth researches considering Vietnam's consumer demand and the oriented characteristics of FDI are needed. The results of this research will contribute to understand structural patterns of FDI and exports in Vietnam and to make investment and export decisions.

• 반도체디스플레이기술학회지
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• 제22권3호
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• pp.62-66
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• 2023

With the advancement in technology and rapid increase in the demand for microelectromechanical systems (MEMS) based inertial measurement units (IMUs), high-volume production and test system remain a major challenge for the MEMS industry. To compete with the challenging market of Industry 4.0, here we developed an automatic test system to evaluate the performance of the ovenized IMU sensors as well as analyze the data. The automatic test system was developed by interfacing a commercial MEMS IMU (BMI 088) using LabVIEW. The BMI 088 was tested experimentally for long-term bias stability, ON/OFF bias repeatability, and root mean square (rms) noise. Furthermore, the data was analyzed through the developed test system. The results show that the automatic test system has improved the test time and reduced human effort. The developed automatic test system is a significant approach to MEMS research and development (R&D) to increase and improve the mass production of IMUs.

• 복식
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• 제64권2호
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• pp.50-69
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• 2014

Sustainability has been a big issue over the whole global industry lately and is an important fashion trend that reflects the modern phase of the time. The concept of sustainable fashion includes physical fashion products made from eco-friendly or recycle materials as well as ethical value such as corporate social responsibility for environment, labor or working condition. Fashion companies of advanced countries who are aware of the geo-environmental and ethical issues found that generating profits by setting trends and pursuing external beauty can no longer be the ultimate goal of fashion companies, and started to recognize the importance of sustainable fashion as a future-oriented trend. Not only fashion industry but also governments of advanced countries have been playing a leading role to educate the people regarding the importance of sustainable fashion and making large investments to foster industry specialists in educational institution. The aim of this study is to propose sustainable fashion design education program that fits the domestic university curriculum and government-leading education program in order to set the foundation for sustainable fashion industry. Thus, this study investigates successful cases of foreign government-led sustainable fashion education that can be introduced to improve domestic sustainable fashion education. The empirical study of the research is developing 12-15 week university level education program to foster specialists in sustainable fashion. The survey carried out by the students who participated in the program shows the change of perception on sustainable fashion. Developed university level program can be spread to municipal corporation, school of continuing education, and etc. in order to derive participation and problem perception of the citizens on sustainability. Developing systemized sustainable fashion design education program would be the first step of sustainable fashion by educating students who will take the leading role in the future fashion industry. Moreover, it can strongly influence future customer education as well as a special education inducing interest on sustainability in everyday life. A follow-up study is expected to serve as a foundation for sustainable fashion to take root successfully in the fashion industry.

• 융합보안논문지
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• 제13권5호
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• pp.129-135
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• 2013

개정 경비업법은 폭력사태를 근절하기 위하여 31개 조문 중에서 17개 조문을 개정하였다. 개정 경비업법의 주요내용은 허가요건의 강화, 의무의 강화, 집단민원현장의 관리 강화, 임원, 경비지도사 및 경비원의 결격사유 확대, 복장 및 장비, 차량, 관리감독의 강화, 처벌의 강화 등이다. 그러나 개정 경비업법은 배치전 신임교육의 의무화, 용역업체폭력의 원인제공자 처벌, 경비업체에 대한 경찰의 인식, 과도한 규제, 처벌강화의 문제, 경찰의 지나친 감독권 강화 등의 문제가 있다. 이를 해결하기 위해서는 개인부담 교육수료 방안, 집단민원현장이외는 사전교육 의무의 배제, 경비업법의 재개정, 추가부담금의 정부부담, 폭력요구 도급업자의 처벌, 경비원자격증제의 도입 등이 필요하다고 생각한다.

• 한국게임학회 논문지
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• 제5권4호
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• pp.39-48
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• 2005

2002년 2월 침체된 국내 게임제공업소의 활성화와 문화산업 인구저변 확대를 위해 경품취급게임산업에 경품용 상품권 사용 제도가 도입되었으나, 현재에 이르러서는 상품권과 관련하여 사행성 상승 문제가 심각한 사회적 문제로 이슈화되고 있다. 그에 따라, 본 논문에서는 경품취급게임산업의 건전화 및 활성화를 견인함으로써 세계 게임시장과의 산업구조상의 괴 리를 극복하고 더 나아가 국가경쟁력을 확보하기 위해, 경품용 상품권의 문제점 분석 및 해결방안인 MCTF Management System 구축안을 제시하였다. 본 논문은 현재 논란의 대상이 되고 있는 상품권과 관련된 문제점들을 근본적으로 해결하는데 유익한 자료가 될 수 있다.

• 한국자원식물학회지
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• 제31권4호
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• pp.283-293
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• 2018

본 연구는 생산과 수요가 늘고 있는 마디풀과 하수오의 최적 건조방법 구명을 통한 식품소재화 및 산업화를 목적으로 수행하였다. 하수오의 최적 건조방법을 구명하기 위해 열풍건조, 음건 및 동결건조 적하수오의 일반성분, 유리당, 아미노산 및 지방산 등을 비교분석하였다. 건물량을 기준으로 건조방법에 따른 적하수오의 일반성분 함량을 비교 하였을 때, 수분함량은 동결건조 적하수오가 유의적으로 낮게 나타났다. 유리당 분석에서 총 유리당 함량은 동결건조 적하수오에서 높게 나타났으며, fructose, glucose 및 sucrose의 함량 역시 동결건조 적하수오, 음건 적하수오, 열풍건조 적하수오 순으로 높게 나타났다. 유기산은 총 5종이 검출되었으며, oxalic acid가 가장 높게 나타났다. 적하수오의 주요 구성 아미노산은 arginine, glutamic acid, proline, serine, lysine 등이며, 총아미노산 함량, 필수아미노산 함량은 모두 동결건조 적하수오에서 높게 나타났다. 총 구성 아미노산 중 필수아미노산 함량 비율은 음건 적하수오에서 높게 나타났다. 유리 아미노산은 세가지 건조방법 모두에서 arginine과 proline이 함량이 높게 나타났으며, 총아미노산 함량, 필수아미노산 함량 및 총 구성 아미노산 중 필수아미노산 함량 비율은 모두 동결건조 적하수가 가장 높게 나타났다. 적하수오의 무기성분은 총4종이 검출되었으며, potassium이 가장 많았으며, sodium이 가장 낮게 나타났다. 적하수오에서 지방산은 포화지방산인 palmitic acid 1종과 불포화지방산인 oleic acid와 linoleic acid 2종이 검출되었다. 이상의 결과로 볼 때 하수오의 유용성분 손실이 가장 적은 건조방법은 동결건조로 생각되며, 산업적인 측면에서 비용을 고려한 건조방법은 건조온도를 조절한 열품건조 방법의 고안이 필요할 것으로 생각된다.

• Journal of the Korean Wood Science and Technology
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• 제44권6호
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• pp.890-896
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• 2016

Paulownia tomentosa is one of fast-growing wood species in Korea. In order to evaluate the solid bioenergy properties of Paulownia tree, this study examined the heating value, moisture content (MC), pH and proximate analysis of stem, branch, root, bark and leaf. The heating values of wood parts were slightly higher than those of bark and leaf, and that of branch was the highest among all the samples. The higher moisture content of bark and leaf referred to their lower heating value. Also, the pH of stem, branch and root was similar and lower than those of bark and leaf. The ash content of bark and leaf was much higher than that of wood parts, which is the one of the reasons for effect on the lower heating value and higher pH. While, the volatile matter content (VMC) of bark and leaf was lower than those of wood parts. The bark showed the highest fixed carbon content (FCC), while the FCC of stem was the lowest among all the samples. The obtained results are encouraging that the Paulownia tree could be totally utilized as alternative fuels for bioenergy production.

• 대한기계학회논문집A
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• 제25권11호
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• pp.1705-1712
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• 2001

Mechanical component has striation with constant width and SEM can estimate fracture type and loading condition. SEM has benefit to fatigue fracture analysis but striation can be observed according to the kind of material and range of crack growth rate and can't. In this case, it needs AFM that can measure 3-dimensional surface profile with resolution of atomic size. In this study. to find fracture reason of torsion-mounted blade in nuclear plant, we estimate the relation between stress intensity factor range and root mean square roughness in 12% Cr steel by AFM and predict in-service loading condition of turbine blade. failure analysis is performed by finite element method and Goodman diagram on torsion-mounted blade.