• Journal of computational fluids engineering
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• v.13 no.1
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• pp.7-13
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• 2008

Several high resolution schemes such as OSHER, MUSCL, SMART, GAMMA, WACEB and CUBISTA are comparatively studied with respect to the accurate capturing of fluid interfaces throughout the application to two typical test cases of a translation test and a collapsing water column problem with a return wave. It is accomplished by implementing the high resolution schemes in the in-house CFD code(PowerCFD) for computing 3-D flow with an unstructured cell-centered method and an interface capturing method, which is based on the finite-volume technique and fully conservative. The calculated results show that SMART scheme gives the best performance with respect to accuracy and robustness.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.13 no.1
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• pp.20-31
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• 2005

In this study, subsonic flutter analyses have been conducted for a composite smart UAV with T-tail configuration at the critical flight condition. Detailed three-dimensional finite element model for dynamic analysis is constructed including its nonstructural elements corresponding to installed electronic equipments and fuels. Computational structural dynamics and aeroelastic techniques are conducted using MSC/NASTRAN and originally developed in-house codes. The results for fundamental vibration characteristics and flutter instabilities are presented and compared to each other for different fuel conditions.

• 한국전산유체공학회:학술대회논문집
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• 2006.10a
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• pp.51-56
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• 2006

Several high resolution schemes such as OSHER, MUSCL, SMART, GAMMA, WACEB and CUBISTA are applied to two typical test cases of a translation test and a collapsing water column problem for the accurate capturing of fluid interfaces. It is accomplished by implementing the high resolution schemes in the in-house CFD code(PowerCFD) for computing 3-D flow with an unstructured cell-centered method, which is based on the finite-volume technique and fully conservative. The calculated results are found to show that SMART scheme gives the best performance with respect to accuracy and robustness.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.412-415
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• 2010

첨단 주택에서 가전기기의 에너지 소모량을 모니터링하기 위하여 센서 네트워크를 이용한 스마트 플러그를 제안한다. 제안한 시스템은 전기 콘센트 형태로, 매 초마다 홀센서를 지나가는 전류량을 측정하여 센서 네트워크를 통해 홈 게이트웨이에 전송한다. 홈 게이트웨이는 전송된 데이터를 전력량으로 변환하여 저장하고, 모니터링 프로그램을 통해 전력량을 표시한다. 실험 결과 제안한 시스템은 에너지 소모와 사용을 관리함에 있어서 우수한 성능을 확인하였다.

• Smart Media Journal
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• v.11 no.2
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• pp.39-52
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• 2022

In the context of the evolution of automation and intelligence, deep learning and machine learning algorithms have been widely applied in aquaculture in recent years, providing new opportunities for the digital realization of aquaculture. Especially, water quality management deserves attention thanks to its importance to food organisms. In this study, we proposed an end-to-end deep learning-based TabNet model for water quality prediction. From major indexes of water quality assessment, we applied novel deep learning techniques and machine learning algorithms in innovative fish aquaculture to predict the number of water cells counting. Furthermore, the application of deep learning in aquaculture is outlined, and the obtained results are analyzed. The experiment on in-house data showed an optimistic impact on the application of artificial intelligence in aquaculture, helping to reduce costs and time and increase efficiency in the farming process.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.11
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• pp.1121-1128
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• 2016

Our country of agriculture suffers problems such as aging, population decline, agricultural decline etc. To solve this problem, in the country, it is interest in Smart Farm System, a convenient and efficient system for the production through the convergence of ICT technology and agriculture. However, because of expensive construction costs and difficulty in securing human resources and training for Operating system, they are struggling to spread the actual farmers. Therefore, it is necessary to develop smart farm techniques suitable for such customized domestic environment. This study designed a system for collecting environment date in a greenhouse based on the low-cost embedded devices, and designed and implemented for the Web application that a user can easily use system. The implementation of the system lowers deployment costs and is expected to increase largely the spread of Smart Farm it can be easily accessed by using the smart phone.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.162-175
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• 2018

Currently, electricity consumption and feedback mechanisms are being widely researched in Internet of Things (IoT) areas to realise power consumption monitoring and management through the remote control of appliances. This paper aims to develop a smart electricity utilisation IoT platform with a deep belief network for electricity utilisation feature modelling. In the end node of electricity utilisation, a smart monitoring and control module is developed for automatically operating air conditioners with a gateway, which connects and controls the appliances through an embedded ZigBee solution. To collect electricity consumption data, a programmable smart IoT gateway is developed to connect an IoT cloud server of smart electricity utilisation via the Internet and report the operational parameters and working states. The cloud platform manages the behaviour planning functions of the energy-saving strategies based on the power consumption features analysed by a deep belief network algorithm, which enables the automatic classification of the electricity utilisation situation. Besides increasing the user's comfort and improving the user's experience, the established feature models provide reliable information and effective control suggestions for power reduction by refining the air conditioner operation habits of each house. In addition, several data visualisation technologies are utilised to present the power consumption datasets intuitively.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.579-586
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• 2022

Modular building is a fast-growing construction method, mainly due to its ability to drastically reduce the amount of time it takes to construct a building and produce higher-quality buildings at a more consistent rate. However, while modular construction is relatively safer than traditional construction methods, workers are still exposed to hazards that lead to injuries and fatalities, and these hazards could be controlled using emerging smart technologies. Currently, limited information is available at the intersection of modular construction, safety risk, and smart safety technologies. This paper aims to investigate what aspects of modular construction are most dangerous for its workers, highlight specific risks in its processes, and propose ways to utilize smart technologies to mitigate these safety risks. Findings from the archival analysis of accident reports in Occupational Safety and Health Administration (OSHA) Fatality and Catastrophe Investigation Summaries indicate that 114 significant injuries were reported between 2002 and 2021, of which 67 were fatalities. About 72% of fatalities occurred during the installation phase, while 57% were caused by crushing and 85% of crash-related incidents were caused by jack failure/slippage. IoT-enabled wearable sensing devices, computer vision, smart safety harness, and Augment and Virtual Reality were identified as potential solutions for mitigating identified safety risks. The present study contributes to knowledge by identifying important safety trends, critical safety risk factors and proposing practical emerging methods for controlling these risks.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.215-216
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• 2012

애플(Apple)의 스마트폰(smart phon)은 우리의 여가생활을 바꿔놓았다. 개인과 개인, 혹은 개인과 단체, 단체와 단체의 커뮤니케이션의 방법에 있어 시 공간을 넘어 계층 간 장애 없이 글쓰기가 가능해졌다. 인터넷 가상현실에서 집단지성(swarm intelligence)의 활동이 늘어나고 있다. 집단지성들이 활동 가능한 확장된 교육프로그램이 논의 되어야 할 것이다. 문학관의 학교 교육의 시각적인 지도활용에 있어서 적극적인 도입이 필요하다. 또한 전국 5일제 시행 이후 체험환경은 교육, 관광 등 연계성을 들 수 있다.

• Korean Institute of Interior Design Journal
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• v.21 no.2
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• pp.3-13
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• 2012

With the emergence of the smart era, interest in future society and new dwelling spaces is growing. This research analyzes the planning items applied to future house pavilions in Korea to examine which functions will be more emphasized and considered importantly in the dwelling spaces. This research paper aims to identify those dwelling functions that will occupy greater importance from the users' point of view. As for the research methodology, it comprised a literature review and an analysis of case studies. The results of this research were as follows; 1) It was arranged that the dwelling functions were safety, amenity, convenience, independence, economics, society, relaxation, aesthetic appearance. 2) For future dwelling environments, environment-friendly technology for conservation of energy was important in addition to intellectual cutting edge technologies, 3) Safety was most basic among all dwelling functions, 4) Planning items related to amenity and economics were found to be most common, indicating that they were important functions in future dwelling environments, 5) With regard to convenience, planning items related to increasing efficiency of household chores through the application of ubiquitous technology were found to be most common, 6) There was no indication of planning items related to independence and society, 7) Cutting edge technology and emotional technology appear to be integrated in planning items related to relaxation and aesthetic appearance, and 8) Each future dwelling pavilion suggested that over 80% of the planning items were related to amenity, convenience, and economics. We expect that the results from our research will be useful in creating a life-centered design of future dwelling spaces that account for dwelling functions.