• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.21-24
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• 2020

대용량의 데이터를 시각적 요소를 활용하여 눈으로 볼 수 있도록 하는 데이터 시각화에 대한 관심이 꾸준히 증가하고 있다. 데이터 시각화는 데이터의 전처리를 거쳐 차원 축소를 하여 데이터의 분포를 시각적으로 확인할 수 있다. 공개된 데이터 셋은 캐글(kaggle), 아마존 AWS 데이터셋(Amazon AWS datasets), UC 얼바인 머신러닝 저장소(UC irvine machine learning repository)등 다양하다. 본 논문에서는 UCI의 화학 가스의 데이터셋을 이용하여 딥러닝을 이용하여 다양한 환경 및 조건에서의 학습을 통한 데이터분석 및 학습 결과가 좋을 경우와 그렇지 않을 경우의 마지막 레이어의 특징 벡터를 시각화하여 직관적인 결과를 확인 가능 하도록 하였다. 또한 다차원 입력 데이터를 시각화 함으로써 시각화 된 결과가 딥러닝의 학습결과와 연관이 있는지를 확인 한다.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.127-136
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• 2022

As manufacturing items have changed in various ways, changes in the mass production of small-scale small-scale production of multiple varieties have become commonplace. As a result, the method of the manufacturing site has also changed, and the "smart factory," which emphasizes the production efficiency aspect using automation lines and big data of factories, is in the spotlight according to the global market economy. The introduction performance of smart factories has a positive effect in terms of production efficiency and is drawing a steep upward curve. In addition to the positive aspects, the aspect that needs to be supplemented in the future is the support and cooperation of specialized smart equipment suppliers, but education on standardized smart factories and the relocation of existing manpower, education, evaluation, and creative production that robots cannot replace Various support measures are also needed for activities. In addition, continuous management and systematic education are required to enter the upper stage. Through the case of companies that have built smart factories, it is intended to emphasize the need for proper use of manpower and support management for settlement and maintenance after introduction and continuous on-the-job training through the comparison of productivity before and after introduction to ensure the effect continues.

• Korea Science and Art Forum
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• v.35
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• pp.281-292
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• 2018

Crowd funding is also called social funding because of SNS that it helps early start-up founder and makers to raise money for idea product production. Recently, the funding platform has recorded high growth rates. As a result, the government in Korea has introduced various support policies for the crowd funding. The purpose of this study is to develop a diagnostic design guideline for product design oriented makers based on the historical situation. The paper writer applied literature survey and expert interview as research methods. The literature survey focused on internet news and previous research studies. The expert interview was conducted for 10 specialist people and divided for the second time. As a result of the text survey, the current guideline was lacking in design and in detail. Researchers have been informed through previous paper that information transfer text and images are important factors for funding success. In the first interview with seven special participants, we made a draft design guideline for social funding with a two-step process and nine themes. We, research and three professional people having a evaluation experience, conducted verification and supplementation for establishing the design guider with a three-step process and eight themes in the next interview. The design guideline for crowd funding, it can be used by money funding manager apart from design makers. Through the results of this paper, researchers are expected to prevent problems and contribute to healthy crowd funding ecosystem development.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.203-207
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• 2006

기업의 시장개척과 경쟁 우위 확보에 있어 인간친화형 혁신 제품의 개발이 중요해지고 있다. 인간친화형 혁신 제품의 개발은 기술, 인간, 미학, 비즈니스와 경영, 윤리와 법에 대한 전공 지식 및 제품 개발 전 과정에 대한 통합적인 시각과 경험을 필요로 한다. 이를 위한 교육과정은 학제간 및 산학간 연계를 통해, 교과과정을 이수한 인력이 별도의 교육 없이 제품 개발 업무를 수행할 수 있도록 개발되어야 한다. 본 연구는 국내 대학의 산업공학, 기계공학, 산업디자인학과와 국외 MIT, Stanford, Carnegie Melon 대학의 제품 설계 및 개발 교육 프로그램을 대상으로 (1) 목표 및 대상 파악, (2) 교과과정 특성분석, (3) 운영 모델을 파악한다. 이를 바탕으로 국내외 현황에 대한 비교 분석 결과를 제시하고 대상과 목표, 이수방식 등에 따른 다양한 학제간/산학간/프로그램 운용 등에 필요한 모델을 정리하고 그 활용방안을 제안한다.

• Journal of Engineering Education Research
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• v.22 no.6
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• pp.74-88
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• 2019

In recent years, the design has formed and operated convergence education in conjunction with many other academic fields, and ABEEK also encourages the participation of convergence engineering programs. The purpose of this study is to require design and software convergence major to operate program that accord engineering education certification criteria to develop a program outcomes evaluation system and examine its validity. The program outcomes evaluation system was developed in accordance with development research methods and procedures. As a result, developed evaluation system program outcomes for convergence-based program outcomes: convergence ability, creative thinking ability, entrepreneur ability, and design ability. Finally, it revised and supplemented them through expert validity examine. Expert validity review included 9 experts in engineering, IT engineering, education technology, and design. The validity, usefulness, intelligibility, universality, and explanatory power of the evaluation system were reviewed. The results of this study are expected to provide practical tools for operating ABBEK of convergence programs between design and engineering.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.639-652
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• 2021

In accordance with the rapidly changing social environment, it is becoming more important to cultivate creative and convergent practical talents with flexible thinking skills and problem-solving skills. Therefore, it is necessary for universities to provide educational experiences that enable students to cooperate and converge multidisciplinaryly to carry out on-the-job projects based on what they have learned at school. Therefore, this study designed, developed, and operated with the aim of cultivating creative talents with integrated problem-solving ability through a multidisciplinary capstone design curriculum based on industry-academia cooperation. To this end, the curriculum was developed together by recruiting participating companies and forming a convergence professor team, and it was operated for 15 weeks for students majoring in cosmetics engineering at D University. After the education was over, learning satisfaction and perceived academic achievement were surveyed, and as a result of the analysis, it was found to be above average with 3.77 points and 3.86 points, respectively. And as a result of the in-depth interview on the participation experience, five themes related to the positive experience and three themes related to the negative experience were derived. This study will be able to provide basic data when operating a multidisciplinary convergence capstone design curriculum based on industry-academia cooperation in the future.

• Resources Recycling
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• v.31 no.4
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• pp.49-55
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• 2022

In this study, the heavy metal ions (of Pb, Cd, Cr, and Hg) in wastewater were removed using a spent Li₂O-Al₂O₃-SiO₂-based crystallized glass previously used as an induction top plate material. Changes in the removal efficiency of heavy metals according to different reaction parameters, such as the amount of zeolite used as a heavy-metal adsorbent, adsorption time, initial concentration of the heavy metals, and pH of the initial solution, were investigated. As the amount of zeolite added increased, the heavy-metal removal efficiency also increased. Adsorption time had a considerable influence on adsorption characteristics, and the removal efficiency of all heavy metals increased with increasing adsorption time. In the case of Cd, the removal efficiency was greatly improved depending on the adsorption time. The initial concentration of the heavy-metal solution did not affect the removal efficiency; however, the initial pH of the heavy-metal solution affected the removal efficiency. More specifically, the removal efficiency of Cd increased while that of Pb and Cr decreased with increasing pH. The adsorption characteristics of Hg were not significantly affected by pH.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.10
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• pp.429-438
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• 2021

In recent, realistic content has been applied in various ways due to the development of display technology and hologram, the final realistic content technology, have been used limitedly in accordance with the growing public demand. However, most realistic content requires additional devices of HMD (head mounted device) or glasses type, and other realistic content display technologies deliver a single image plane in the experience space to the user, providing a monotonous content experience. Various realistic contents with hologram technology are introduced in this work. In addition, we propose an interaction based realistic hologram service based that combines projection mapping and floating holograms. Projection-mapped screens and multi-floating hologram device provide a three-dimensional volumetric space with extended depth orientation from the user's point of view, while allowing users' entire and partial motions to be recognizable through multiple sensors.

• Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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• v.12 no.6
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• pp.579-590
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• 2018

Anomaly detection on building energy consumption has been regarded as an effective tool to reduce energy saving on building operation and maintenance. However, it requires energy model and FDD expert for quantitative model approach or large amount of training data for qualitative/history data approach. Both method needs additional time and labors. This study propose a machine learning and data science approach to define faulty conditions on hourly building energy consumption with reducing data amount and input requirement. It suggests an application of Support Vector Data Description (SVDD) method on training normal condition of hourly building energy consumption incorporated with hourly outdoor air temperature and time integer in a week, 168 data points and identifying hourly abnormal condition in the next day. The result shows the developed model has a better performance when the ${\nu}$ (probability of error in the training set) is 0.05 and ${\gamma}$ (radius of hyper plane) 0.2. The model accuracy to identify anomaly operation ranges from 70% (10% increase anomaly) to 95% (20% decrease anomaly) for daily total (24 hours) and from 80% (10% decrease anomaly) to 10%(15% increase anomaly) for occupied hours, respectively.

• Journal of the Korean Society of Safety
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• v.37 no.4
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• pp.101-112
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• 2022

Expanding urbanization practices result in high numbers of buildings being developed in city centers. This high building concentration leads to an increased fire risk, resulting in higher casualty rates and increased economic damages compared to fires in the past. The purpose of this study was to analyze the structural behavior of fire-damaged reinforced concrete buildings using analytical methods and to suggest methods of improving fire resistance in the event of a fire. Damage levels were measured using commercial software to apply the finite element method, ABAQUS, and MIDAS GEN to the dataset. Load-deflection curves were calculated using the effective area and moment of inertia of the fire-damaged columns provided by ABAQUS. The results of this analysis indicate that fire-damaged beams with experience greater deflection from indoor fires than they will from outdoor fires. Fires that occurred on the middle floors were more dangerous than those occurring on higher floors, and eccentrically loaded columns experienced more damage than axially loaded columns. The results indicate that these methods accurately predict structural behaviors of fire damaged concrete columns by considering fire exposure area and eccentric loading.