• Prospectives of Industrial Chemistry
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• v.19 no.5
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• pp.1-11
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• 2016

우리나라는 1970년대를 기점으로 하여 급격한 경제성장과 산업기술의 발전이 이루어졌다. 경제성장과 함께 주택의 보급 또한 급격하게 증가하게 되었고, 주택의 보급을 위한 건축자재 및 생활용품의 개발이 급속도로 이루어졌다. 이에 따라 실내에서 사용하는 기구 및 건축재료가 매우 다양해졌으며, 이로 인한 새로운 오염물질의 배출이 급격히 증가하게 되었다. 최근 새로운 기술로 소개되고 있는 촉매 산화법의 경우 제거하려는 대상 실내대기오염물질을 촉매를 이용하여 CO₂나 H₂O 등으로 산화시켜 제거하는 방법이며, 최근 많은 연구가 활발하게 수행되고 있다. 촉매를 이용하는 촉매 산화법은 광촉매 산화법과, 촉매의 성능만을 이용하여 대상물질을 산화하는 촉매산화법으로 구분된다. 광촉매 산화법은 특정 파장에서 반응하는 촉매에 자외선을 조사하여 실내오염물질을 산화제거하는 방법으로, 산화성능이 우수하여 여러 가지 실내오염가스에 적용되고 있으나, 별도의 광원이 필요하며, 포름알데히드 산화 시 CO₂와 H₂O 이외에도 dichloroacetyl chloride (C₂HCl₃O), trichloroethylene (C₂HCl₃), phosgene (COCl₂) 등과 같은 부수적인 2차 유해물질이 발생함에 따라 이를 처리하기 위한 대책이 수반되어야 한다. 반면, 촉매 산화법의 경우 별도의 광원이나 에너지원 없이, 촉매를 이용하여 대기오염물질을 인체에 무해한 물질로 완전 산화시키는 방법으로써, 최근 많은 연구가 수행되어 상온에서 구동 가능한 촉매가 개발되었고, 이의 연구가 활발히 이루어지고 있다. 이에 상온산화촉매기술의 연구동향 및 사례를 확인하고, 향후 상온산화촉매기술이 나아가야 할 방향을 제시하고자 한다. 본 연구는 환경부 환경산업선진화기술개발사업의 지원을 받아 수행되었습니다(2016000140004).

• 대한공업교육학회지
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• v.36 no.1
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• pp.95-114
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• 2011

The purpose of this study was to review and synthesize the papers in cooperation between industries and specialized high schools. We also try to provide explicit directions and suggestions for future researches. A total of 196 studies, including master's and doctoral theses up to 2010, were collected through RISS(Research Information Sharing Service), KISS(Koreanstudies Information Service System), and DBPIA(special database for domestic research information). The results were as follows. The number of papers has been increasing steadily. In the area of research, the field research was the most popular area. The most common type of the research was survey research and library research was followed. Similarly, questionnaire was the most popular method. Technical high schools were the most popular object of studies in specialized high schools. GyeongGi province was the most popular region of studies and Seoul was followed. The most common type of cooperation between industries and specialized high schools were actual training. The students in specialized high school was the most popular object of surveys, and teachers and industry people were followed.

• The Korean Journal of Applied Statistics
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• v.22 no.2
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• pp.249-260
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• 2009

Various methods have been suggested in developing the useful leading indicators to predict the actual realizations when time laps exist between policy plannings and future events. The recent economic crisis could have been relived if the information necessary to respond to the future evolutionary process is provided in advance. As the relations between the financial variables and the real economic activity become unstable because of the changes in the financial environment, this study attempts to estimate the capabilities of various internal and external term spreads in predicting the future business trend, followed by comparison and evaluation.

• The Korean Journal of Applied Statistics
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• v.28 no.3
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• pp.457-465
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• 2015

The long lasting world-wide recession and low economic progress have made it more important to predict future economic behavior. Accordingly, it is of interest to explore useful leading indicators, correlated with policy targets, to predict future economic growth. This study attempts to develop a model to evaluate the performance of consumer survey results from Statistics Korea to predict future economic activities. A statistical model is formulated and estimated to generate predictions by utilizing consumer expectations. The prediction is found improved in the distant future and consumer expectations appear to be a useful leading indicator to provide information of future real growth.

• Korean Journal of Childcare and Education
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• v.17 no.4
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• pp.111-128
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• 2021

Objective: The purposes of this research are to analyze former research papers regarding Dream Start according to academic field in an attempt to better understand their services and to present additional directions. Methods: The 66 research papers regarding Dream Start from 2008 to 2020 were analyzed by three categories: welfare, child care(education) and health. In each category, this research analyzed the research papers by year, research type, research subject and the research topic. Results: First, the research papers regarding Dream Start were most actively published between 2010 and 2017 and the number of research papers decreased after 2018. Second, the results regarding the type of study showed that quantitative studies were mostly performed in all, but the detailed methods used mainly differed. Third, the subjects of the study commonly included guardians. Fourth, the research topics were focused on business content, operations, and direction. Conclusion/Implications: Based on these results, welfare, child care(education) and health sectors need to make more efforts for balanced development, and integrated research and longitudinal studies are necessary. Second, further research is needed to enhance the professionalism of teachers and nurses working in the Dream Start. Third, more research is needed for the integration and coordination of resource management.

• Journal of Korean Society for Quality Management
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• v.51 no.2
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• pp.223-245
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• 2023

Purpose: This study aim to identify the trends in AI-based PHM technology that can enhance reliability and minimize costs. Furthermore, this research provides valuable guidelines for future studies in various industries Methods: In this study, I collected and selected AI-based PHM studies, established classification criteria, and analyzed research trends based on classified fields and techniques. Results: Analysis of 125 domestic studies revealed a greater emphasis on machinery in both diagnosis and prognosis, with more papers dedicated to diagnosis. various algorithms were employed, including CNN for image diagnosis and frequency analysis for signal data. LSTM was commonly used in prognosis for predicting failures and remaining life. Different industries, data types, and objectives required diverse AI techniques, with GAN used for data augmentation and GA for feature extraction. Conclusion: As studies on AI-based PHM continue to grow, selecting appropriate algorithms for data types and analysis purposes is essential. Thus, analyzing research trends in AI-based PHM is crucial for its rapid development.

• Journal of Korean Association for Spatial Structures
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• v.10 no.2
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• pp.135-145
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• 2010

The objective of this study is to draw basic data for the application of the fire protection planning for the future plan large enclosure buildings in Korea through an analysis of its characteristics by case studies of the domestic and foreign large scale gymnasiums. In this study, domestic building codes for the fire protection are investigated and fire detection systems, fire extinguishing systems, smoke control systems and evacuation systems of three large scale gymnasiums located at Korea and eight foreign countries are compared and analyzed. The results of this study show that infrared light fire detection system and flame detector for spacial characteristics are potentially used in fire protection systems of large scale gymnasiums: dry type sprinkler and sprinkler water gun are adopted in fire detection system; and smoke accumulation system is widely utilized in smoke control system.

• Convergence Security Journal
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• v.22 no.2
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• pp.115-120
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• 2022

This study analyzed the recent trends in the sports environment to which big data and AI technologies, which are representative technologies of the 4th Industrial Revolution, and approached them from the perspective of convergence of big data and AI technologies in the sports field. And the results are as follows. First, it is being used for player and game data analysis and team strategy establishment and operation. Second, by combining big data collected using GPS, wearable equipment, and IoT with artificial intelligence technology, scientific physical training for each player is possible through user individual motion analysis, which helps to improve performance and efficiently manage injuries. Third, with the introduction of an AI-based judgment system, it is being used for judge judgment. Fourth, it is leading the change in marketing and game broadcasting services. The technology of the 4th Industrial Revolution is bringing innovative changes to all industries, and the sports field is also in the process. The combination of big data and AI is expected to play an important role as a key technology in the rapidly changing future in a sports environment where scientific analysis and training determine victory or defeat.

• Current Industrial and Technological Trends in Aerospace
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• v.7 no.1
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• pp.11-19
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• 2009

Though the regional airlines have grown consistently with world's economic recovery after 2001, now the future of them is uncertain from the current economic depression since 2007. In the regional aircraft industry, there have been two main trends that larger airplanes and regional jets inroad the market. But, the situational change including radical rise of oil price and worldwide recession induces the managerial damage of airlines and it makes them doubt about the regional jet which has been the main stream of regional aircraft after the success of the ERJ-145 in 1990s. Still, most of being developed or planed regional aircrafts choose turbo fan, the future demands of turboprop increase and it becomes a good alternative of future regional aircraft in many market forecasts. Thus in this paper, current situation and tendency of regional aircraft market are investigated with various market forecast reports.

• Communications for Statistical Applications and Methods
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• v.15 no.6
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• pp.883-897
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• 2008

This paper provides correct informations inflecting the present situation using the sample design in population that the National Statistical Office puts in operation of the mining and manufacturing industry statistical survey in 2006. This paper proposes new sampling design which is able to grasp business fluctuations and provide basic data for the rearing policy and management of the material industry and components industry. These sample design are the modified cut-off method and multivariate Neyman allocation using principal components and sampling method is the probability proportional systematic sampling.