• 한국해양공학회지
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• 제20권3호
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• pp.54-60
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• 2006

For optimal design of a deep-sea ocean mining collector system, based on self-propelled mining vehicle, it is imperative to develop and validate the dynamic model of a tracked vehicle traveling on soft deep seabed. The purpose of this paper is to evaluate the fidelity of the dynamic simulation model by means of response surface methodology. Various statistical techniques related to response surface methodology, such as outlier analysis, detection of interaction effect, analysis of variance, inference of the significance of design variables, and global sensitivity analysis, are examined. To obtain a plausible response surface model, maximum entropy sampling is adopted. From statistical analysis and prediction for dynamic responses of the tracked vehicle, conclusions will be drawn about the accuracy of the dynamic model and the performance of the response surface model.

• 한국의류산업학회지
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• 제24권5호
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• pp.545-556
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• 2022

To overcome the pandemic, a new strategy for innovation is in demand throughout the value chains of the fashion industry that emphasize the importance of fashion technology. Accordingly, as various viewpoints and fields of debate are unfolding to consider the direction of change led by fashion technology, it is necessary to make an active value judgment precedent by understanding the differences between various opinions. This study aims to derive keywords from fashion technology used during the pandemic, to infer the characteristics of each type of perspective and to understand their characteristics. For the research, this study combines text mining analysis and content analysis. Text mining analysis is used to find statistical patterns by collecting keywords from big data from online media, and content analysis is used to interpret the data qualitatively. After analyzing the results of this study, the following observations are made. First, the perspective of positive acceptance seeks to maximize the perception and sensory action of fashion through technology; this amplifies experience, an opportunity for innovation and efficiency. Second, critical vigilance highlights the side effects of radical changes in fashion technology, characterized by concerns about capital-centered polarization, threats to human rights, and infringement of creative thinking. Lastly, the perspective of gradual adoption is the gradual convergence of technologies, characterized by the pursuit of an appropriate balance.

• 패션비즈니스
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• 제27권5호
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• pp.78-92
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• 2023

Fashion trends are actively disseminated through social media, which influences both their propagation and consumption. This study explored how users perceive subversive basic fashion in social media videos, by examining the associated concepts and characteristics. In addition, the factors contributing to the style's social media dissemination were identified and its distinctive features were analyzed. Through text mining analysis, 80 keywords were selected for semantic network and CONCOR analysis. TF-IDF and N-gram results indicate that subversive basic fashion involves transformative design techniques such as cutting or layering garments, emphasizing the body with thin fabrics, and creating bold visual effects. Topic modeling suggests that this fashion forms a subculture that resists mainstream norms, seeking individuality by creatively transforming the existing garments. CONCOR analysis categorized the style into six groups: forward-thinking unconventional fashion, bold and unique style, creative reworking, item utilization and combination, pursuit of easy and convenient fashion, and contemporary sensibility. Consumer actions, linked to social media, were shown to involve easily transforming and pursuing personalized styles. Furthermore, creating new styles through the existing clothing is seen as an economic and creative activity that fosters network formation and interaction. This study is significant as it addresses language expression limitations and subjectivity issues in fashion image analysis, revealing factors contributing to content reproduction through user-perceived design concepts and social media-conveyed fashion characteristics.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2001년도 디자인학연구 2001 봄 학술발표회 논문집
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• pp.54-55
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• 2001

• Ocean and Polar Research
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• 제36권4호
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• pp.475-485
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• 2014

Seawater flow characteristics around a manganese nodule mining device in deep sea were analyzed through numerical investigation. The mining device influences the seawater flow field with complicated velocity distributions, and they are largely dependent on the seawater flow speed, device moving speed, and injection velocity from the collecting part. The flow velocity and turbulent kinetic energy distributions are compared at several positions from the device rear, side, and top, and it is possible to predict the distance from which the mining device affects the seawater flow field through the variation of turbulent kinetic energy. With the operation of the collecting device the turbulent kinetic energy remarkably increases, and it gradually decreases along the seawater flow direction. Turbulent kinetic energy behind the mining system increases with the seawater flow velocity. The transient behavior of nodule particles, which are not collected, is also predicted. This study will be helpful in creating an optimal design for a manganese nodule collecting device that can operate efficiently and which is eco-friendly.

• The Journal of Asian Finance, Economics and Business
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• 제7권5호
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• pp.131-144
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• 2020

The study investigates the impact of factors on environmental accounting implementation in mining enterprises in Binh Dinh province, Vietnam. The survey was carried out in three phases: 1) a draft survey form; 2) in-depth interviews with experts; 3) design questionnaire. The survey respondents were people who had knowledge of environmental information in mining enterprises in Binh Dinh province, including: accountant, chief accountant, financial deputy director or director. The questionnaire was is sent directly or through Google Form tool. The author received 162 responses votes from the survey respondent, out of which 13 were unusable due to missing data. Thus, 149 valid responses votes were used. This study employs Cronbach's alpha analysis, exploratory factor analysis and multivariate regression analysis. The results showed the influence of five different factors on environmental accounting implementation in mining enterprises in Binh Dinh province: stakeholders pressure, corporate characteristics, coercive pressure of government agencies, environmental awareness of senior managers and accountant qualifications of environmental accounting. While the pressure of stakeholders has a negligible influence, the remaining four factors (coercive pressure of government agencies, environmental awareness of senior executives, business characteristics, accountant qualifications of environmental accounting) have significant effect on environmental accounting implementation in mining enterprises in Binh Dinh province, Vietnam.

• 한국해양공학회지
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• 제27권2호
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• pp.80-86
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• 2013

KIOST developed a deep-sea mining robot called "MineRo" to collect manganese nodules in 2007. MineRo operates on flat ground. SMS (seafloor massive sulfide) deposits are shaped like undulating mountains. This paper deals with a numerical analysis model of a mining robot for SMS deposits. The mining robot consists of a tracked vehicle, chassis structure with a turntable, boom arm with 2 articulations, excavation tool, discharging unit, hydro-electric system, and sensing-and-monitoring system. In order to compare and analyze the dynamic responses of the driving mechanism, various tracked vehicles are modeled using commercial software. Straight driving simulations are conducted under undulating ground conditions. A conceptual design of a mining robot with four track systems for SMS deposits is modeled on the basis of these results.

• 문화기술의 융합
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• 제5권2호
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• pp.375-380
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• 2019

본 논문의 핵심 주제는 개방형 교육 플랫폼 기반 학습 프로세스 마이닝 및 애널리틱스 기술로 최근에 관심과 사용이 급속히 증가하고 있는 MOOC(Massive Open Online Courseware) 등과 같은 개방형 교육 플랫폼을 기반으로 하는 개인별 학습 이력 로그로부터 학습 및 러닝 프로세스를 중심으로 하는 유의미한 학습 프로세스 지식을 발견하고 분석하기 위한 학습 프로세스 마이닝 프레임워크를 설계 및 구현하는 기술이다. 러한 프레임워크의 핵심 기술로서, 학습 프로세스의 표현, 추출, 분석, 가시화하는 기술과 이러한 마이닝 및 분석된 학습 프로세스 지식으로부터 개선된 학습 프로세스 관련 교육 서비스를 제공하는 기술로 구성된다.

• 터널과지하공간
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• 제28권2호
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• pp.125-141
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• 2018

장기적 광산 개발계획을 위하여 광산의 갱도설계는 장비계획, 운반계획, 운영계획 등의 기본이 되므로 매우 중요하다. ${\bigcirc}{\bigcirc}$광산은 생산성 향상에 중점을 둔 갱도설계가 이루어짐으로써 채광계획 변경이 매우 어렵고, 굴착갱도를 유지하기 위한 많은 노력이 필요하였다. 본 연구에서는 암반의 역학적 특성을 고려한 최적갱도를 설계하고 지보계획을 수립하고자 하였다. 이를 위하여 암반의 역학적 변수(팽윤압력, 변형계수, 지압계수)들에 대한 추정, 다양한 현장조사와 분석 등을 수행하였다. 그 결과 roof bolt 등을 활용하여 갱도유지를 하려면 갱도단면 축소 등을 고려할 필요가 있었으며, 현 갱도규격을 유지하기 위해서는 지보재와 지보방법에 대한 다양한 기능적 기술들이 필요할 것으로 분석되었다.

• 터널과지하공간
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• 제29권1호
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• pp.30-37
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• 2019

해외의 일부 광업 선도국에서는 정량적인 설계지침을 제시하거나 별도의 광산 갱도 설계지침을 개발하여 배포함으로써 지하광산 운영 시 대규모 인적 물적 피해로 이어질 가능성이 높은 낙반 및 붕락 재해의 발생을 최소화하기 위해 노력하고 있다. 국내의 경우에는 광산안전기술기준 등 광산개발 관련 지침을 통해 근로자 사고 방지를 위한 안전수칙과 작업지침을 제공하고 있으나, 갱도설계에 대한 부분에서는 정성적이고 불명확한 시공 지침만을 제공하는 데에 그치고 있다. 최근 국내 환경규제 및 천부 자원 고갈로 인해 광산이 점차 심부화되고 있는 추세이며, 갱도의 안정성을 확보하기 위해 정량적인 설계 규격을 제공할 수 있는 전문적이고 체계적인 광산 갱도설계 지침에 대한 수요가 증가하고 있다. 이에 따라 본 원고에서는 국내외 광산 갱도설계 실태와 연구동향 및 현행 설계지침에 대한 현황 조사를 통해 국내 갱도 설계지침 개발을 위한 사전연구를 수행하였다.