• 한국산업융합학회 논문집
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• 제25권4_2호
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• pp.549-563
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• 2022

Continuous global warming is causing ecosystem destruction and direct damage to human life. The main cause of global warming is greenhouse gases, which account for more than 90 % of carbon dioxide. The leaders of each country signed the Paris Agreement at the United Nations Convention on Climate Change (UNFCCC) to reduce greenhouse gas emissions. Currently, the total amount of CO₂ emitted from South Korea is 664.7 million tons as of 2018, ranking eighth in the world. 37 % of South Korea's total CO₂ emissions come from the construction & building field, especially the cement production, which is a construction material. Carbon reduction technologies can be largely divided into four types: carbon reduction (CC), carbon reduction and storage technology (CCS), carbon reduction and utilization technology (CCU), and carbon reduction, storage and utilization technology (CCUS). Overseas, CCUS technology is mainly applied to reduce and store CO₂ emitted from construction and construction field. A technology for permanently storing CO₂ through mineralization by capturing CO₂ and utilizing CO₂ into a cement production process was developed, and this technology is applied to the entire cement industry. However, the development of CCUS technology applicable to the cement industry is still insignificant in South Korea. In this study, carbon dioxide reduction technology and methods for reducing carbon dioxide emitted during the cement manufacturing process, which is the main component of concrete mainly used in civil engineering construction, were investigated. Overseas, it has reached the commercialization stage beyond the demonstration stage as a way to reduce carbon dioxide by vomiting carbonation reactions. Accordingly, if carbon dioxide reduction plan technology generated during cement manufacturing is developed based on domestic technology differentiated from foreign technology, it is expected to contribute one more step to the carbon neutrality policy.

• 지식경영연구
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• 제23권2호
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• pp.37-60
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• 2022

가상현실 게임의 성장과 블록체인 기술의 대중화는 메타버스(metaverse) 산업 생태계 형성에 유의미한 변화를 가져오고 있다. 메타(Meta)가 VR 기기 제조 및 관련 콘텐츠 개발사인 오큘러스(Oculus)를 인수한 이후, 가상현실 콘텐츠 시장의 성장이 가속화되고 있다. 본 연구를 통해 우리는 가상현실 앱 마켓의 콘텐츠를 탐색적으로 분석하여 여가(leisure)가 어떻게 기존의 모바일 앱과 가상현실 앱을 구분 짓고 있는지 탐색적으로 알아보았다. 이를 위해 오큘러스 한국 스토어에 등록된 241개 앱의 장르와 설명을 텍스트 마이닝으로 분석하였다. 그 결과, 앱 카테고리 키워드를 기초로 앱에 대한 준네트워크(quasi-network)를 생성하여 키워드 장르 간 암묵적 지식 네트워크를 시각화하였다. 또한 G&F 역할 프레임워크를 활용하여 여가가 차지하는 상대적 역할을 조명하였다. 추가적으로, 사용자의 리뷰 데이터를 LDA 토픽 모델링 방법으로 분석하였다. 본 연구는 가상현실 하의 메타버스 앱 생태계의 특징을 규명하기 위한 이론 개발의 기초 자료를 제공한다는 점에서 의의가 있다.

• 공학교육연구
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• 제26권4호
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• pp.22-35
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• 2023

As information and communication technology has developed remarkably, it has become possible to analyze various types of large-volume data generated at a speed close to real time, and based on this, reliable value creation has become possible. Such big data analysis is becoming an important means of supporting decision-making based on scientific figures. The purpose of this study is to develop a big data analysis tool that can analyze large amounts of data generated through engineering education. The tasks of this study are as follows. First, a database is designed to store the information of entries in the National Creative Capstone Design Contest. Second, the pre-processing process is checked for analysis with big data analysis tools. Finally, analyze the data using the developed big data analysis tool. In this study, 1,784 works submitted to the National Creative Comprehensive Design Contest from 2014 to 2019 were analyzed. As a result of selecting the top 10 words through topic analysis, 'robot' ranked first from 2014 to 2019, and energy, drones, ultrasound, solar energy, and IoT appeared with high frequency. This result seems to reflect the current core topics and technology trends of the 4th Industrial Revolution. In addition, it seems that due to the nature of the Capstone Design Contest, students majoring in electrical/electronic, computer/information and communication engineering, mechanical engineering, and chemical/new materials engineering who can submit complete products for problem solving were selected. The significance of this study is that the results of this study can be used in the field of engineering education as basic data for the development of educational contents and teaching methods that reflect industry and technology trends. Furthermore, it is expected that the results of big data analysis related to engineering education can be used as a means of preparing preemptive countermeasures in establishing education policies that reflect social changes.

• 대한의생명과학회지
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• 제28권4호
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• pp.317-321
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• 2022

Due to COVID-19 pandemic, wearing face masks is obligatory to prevent respiratory virus transmissions in the community. However, there are few studies of the desirable number of wearing a face mask, and how to store them for reuse. Therefore, in this study, a survey was conducted among 208 healthy adults, and 27 kf-94 masks worn for 1, 2, and 3 days were collected. To estimate the risk of bacterial contamination, we analyzed the extent of bacterial contamination of the BHI medium and 16S rRNA gene sequencing. With an increase in the number of days of using the mask, the degree of bacterial contamination of the used mask gradually increased. As a result of 16S rRNA PCR performed for strain identification, Staphylococcus, known as a pathogenic bacterium, was identified the most. In conclusion, we found that wearing a cotton KF mask provides an optimal environment for microbes, which are related to the skin and respiratory system, to thrive. Therefore, it is also important to reduce the risk of bacterial infection of the face mask with appropriate sterilization methods.

• Safety and Health at Work
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• 제13권4호
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• pp.401-407
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• 2022

Background: The present study aimed to digitally evaluate the risk of overwork-related adverse effects (OrAEs) among employees from various occupational categories in Taiwan. Methods: Anonymous data of employees from seven companies/factories providing occupational health services were analyzed. The studied population comprised 5505 employees, and the data analyzed included employment duration, working hours, shift work schedules, and health checkup results. The risk for OrAEs was assessed by an index, Karo index (0-4, the larger the value, the higher the risk for OrAEs) obtained using a risk matrix made up of cardiocerebral and occupational risk factors. Karo index values of 3 and 4 were categorized as at high risk for OrAEs (h-OrAEs). Results: The 5505 employees had an average employment duration of 8.5 years and a mean age of 39.4 years. The prevalence rates for h-OrAEs of the seven companies/factories ranged from 3.9% to 34.2%. There were significant differences in prevalence rates for h-OrAEs between employees of retail stores and high-tech manufacturing factories. Multivariate analysis results indicated that workers of high-tech manufacturing factories had significantly higher risk for h-OrAEs compared with retail store workers. Conclusion: In terms of satisfying health risk management and legal requirements in Taiwan, the newly issued Karo index, which covers a wide range of occupational risk factors, can serve as an assessment and a warning tool for managing the risk of OrAEs in workplaces. To reduce risks for h-OrAEs, active and prudent control of cerebrocardiovascular risks and working hours is recommended.

• 한국정보통신학회논문지
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• 제26권11호
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• pp.1729-1740
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• 2022

근래 정보의 다양성과 활용에 따라 많은 데이터가 생성되었고, 데이터를 수집, 저장, 가공 및 예측 하는 빅데이터 분석의 중요성이 확대되었으며, 필요한 정보만을 수집할 수 있는 능력이 요구되고 있다. 웹 공간은 절반 이상이 텍스트로 이루어져 있고, 유저들의 유기적인 상호작용을 통해 수많은 데이터가 발생한다. 대표적인 텍스트 데이터 수집 방법으로 크롤링 기법이 있으나 데이터를 가져올 수 있는 방법에 치중되어 웹 서버나 관리자를 배려하지 못하는 크롤러가 많이 개발되고 있다. 본 논문에서는 크롤링 과정에서 발생할 수 있는 문제점 및 고려해야 할 주의사항에 대해 살펴보고 효율적으로 데이터를 가져올 수 있는 개선된 동적 웹 크롤러를 설계 및 구현한다. 기존 크롤러의 문제점들을 개선한 크롤러는 멀티프로세스로 설계되어 작업소요 시간이 평균적으로 4배정도 감소하였다.

• 한국컴퓨터정보학회논문지
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• 제28권7호
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• pp.11-18
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• 2023

본 논문에서는 딥러닝 시계열 예측 모형을 평가한다. 최근 연구에 따르면 이 모형은 ARIMA와 같은 기존 예측 모형보다 성능이 우수하다고 결론짓는다. 그 중 히든 레이어에 이전 정보를 저장하는 순환 신경망이 이를 위한 예측 모형 중 하나이다. 네트워크의 그래디언트 소실 문제를 해결하기 위해 LSTM은 데이터 흐름의 반대 방향으로 숨겨진 레이어가 추가되는 BI-LSTM과 함께 순환 신경망 내부의 작은 메모리로 사용된다. 본 논문은 서울의 2018년 1월 1일부터 2022년도 1월 1일까지의 NO2 자료에 대해 Informer의 성능을 LSTM, BI-LSTM, Transformer와 비교하였다. 이에 실제 값과 예측값 사이의 평균 제곱근 오차와 평균 절대 오차를 구하였다. 그 결과 Test 데이터(2021.09.01.~2022.01.01.)에 대해 Informer는 다른 방법에 비해 가장 높은 예측 정확도 (가장 낮은 예측 오차: 평균 제곱근 오차: 0.0167, 평균 절대 오차: 0.0138)를 보여 타 방법에 비해 그 우수성을 입증하였다. Informer는 당초 취지와 부합되게 다른 방법들이 갖고 있는 장기 시계열 예측에 있어서의 문제점을 개선하는 결과를 나타내고 있다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.673-673
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• 2015

Earthwork is an operation that provides space for structures, and it takes up a large portion of the construction costs in a construction project. In large-scale earthwork, numerous types of construction equipment are used in the operation. The types of equipment should be selected based on the field conditions and the construction methods. These construction vehicles are constantly changing positions during the earthwork operation. Therefore, the equipment operators require effective communication to ensure the efficiency of the earthwork operation. All equipment operators should exchange information with the other equipment operators. Information should be exchanged continuously to support decision making and increase productivity during the earthwork operation at the construction site. This paper investigates the attributes required for an information interface between construction vehicles during an earthwork operation. This paper 1) discusses the importance of an information interface for construction vehicles in order to increase productivity during an earthwork operation, 2) analyses the types of attributes that need to be communicated between construction vehicles, and 3) provides a database that has been built for attribute control. The database built for the information interface between construction vehicles will enhance communication between vehicle operators. Table I shows the typical attributes that should be shared between the excavator operator and the dump truck operator. This information needs to be shared among the operators, as it helps them to plan the earthwork operation in a more efficient manner. A database has been developed to store this information in an entity relation diagram. A user-interface display environment is also developed to provide this information to the operators in the construction vehicles. The proposed interface can help exchange information effectively and facilitate a common understanding during the earthwork operation. For example, the vehicle operators will be aware of the planned volume, excavated volume, transportation time, and transportation numbers. As a part of this study, mobile devices, such as mobile phones and google glasses, will be used as hands-on communication tools.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.54-55
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• 2015

Increase of impervious areas due to expansion of housing area, commercial and business building of urban is resulting in property change of stormwater runoff. Also, rapid urbanization and heavy rain due to climate change lead to urban flood and debris flow damage. In 2010 and 2011, Seoul had experienced shocking flooding damages by heavy rain. All these have led to increased interest in applying LID and decentralized rainwater management as a means of urban hydrologic cycle restoration and Natural Disaster Prevention such as flooding and so on. Urban development is a cause of expansion of impervious area. It reduces infiltration of rain water and may increase runoff volume from storms. Low Impact Development (LID) methods is to mimic the predevelopment site hydrology by using site design techniques that store, infiltrate, evaporate, detain runoff, and reduction flooding. Use of these techniques helps to reduce off-site runoff and ensure adequate groundwater recharge. The contents of this paper include a hydrologic analysis on a site and an evaluation of flooding reduction effect of LID practice facilities planned on the site. The region of this Case study is LID Rainwater Management Demonstration District in A-new town and P-new town, Korea. LID Practice facilities were designed on the area of rainwater management demonstration district in new town. We performed analysis of reduction effect about flood discharge. SWMM5 has been developed as a model to analyze the hydrologic impacts of LID facilities. For this study, we used weather data for around 38 years from January 1973 to August 2014 collected from the new town City Observatory near the district. Using the weather data, we performed continuous simulation of urban runoff in order to analyze impacts on the Stream from the development of the district and the installation of LID facilities. This is a new approach to stormwater management system which is different from existing end-of-pipe type management system. We suggest that LID should be discussed as a efficient method of urban disasters and climate change control in future land use, sewer and stormwater management planning.

• 한국응용과학기술학회지
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• 제40권4호
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• pp.724-732
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• 2023

본 연구에서는 코로나 이후 색조화장품 시장의 소비자들의 온라인 관심 정보에 대한 자료 수집을 통하여 색조화장품 정보 검색의 특성과 텍스트 마이닝 분석 결과에 나타난 코로나 이후 색조화장품 시장의 주요 관심정보들을 분석하고자 하였다. 실증분석에서는 "색조화장품" 이라는 단어를 포함하는 뉴스, 블로그, 카페, 웹페이지 등의 모든 문서들을 분석 대상으로 텍스트 마이닝을 수행하였다. 분석 결과 코로나 이후 색조화장품에 대한 온라인 정보 검색은 주로 구매 정보와 피부와 마스크 관련 화장법 등에 관한 정보와 관심 브랜드와 행사 정보 등의 주요 토픽이 주를 이루고 있었다. 결과적으로 코로나 이후 색조화장품 구매자들은 적극적인 온라인 정보 검색을 통하여 제품 가치와 안전성, 가격 혜택, 매장 정보 등의 구매 정보에 더욱 민감하게 될 것이므로 이에 대한 대응전략이 요구된다.