• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.139.1-139.1
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• 2015

열플라즈마 토치 및 자유연소아크 시스템 개발이 증가함에 따라 실험을 통해 얻기 어려운 물리적 특성들을 파악하기 위해 전산유체역학을 이용한 해석방법이 널리 이용되어 왔다. 대부분의 경우에 해석의 용이성을 위하여 2차원 축대칭으로 가정하여 계산을 수행하지만, 2차원 해석만으로는 실제 물리적인 현상을 정확하게 반영하기 힘들다. 따라서 보다 실질적인 결과를 얻기 위해서는 기존의 2차원 해석방법을 3차원 해석방법으로 변환할 필요성이 있다. 본 논문에서는 3차원 열플라즈마 해석을 위한 첫 단계로써 상용 CFD 프로그램인 ANSYS CFX를 사용하여 동일한 해석모델에 관하여 2차원 해석과 3차원 해석을 수행하였다. 해석방법 및 결과의 타당성을 평가하기 위하여 Schnick-Fuessel 모델 (SF 모델)과 Haddad-Farmer 모델 (HF 모델)을 선정하여 각각의 모델에 대한 해석결과를 문헌에서 발췌한 실험결과 등과 비교하였다. 이러한 결과 비교를 통해서 본 연구에서 적용한 열플라즈마 해석에 관한 수치해석 방법이 충분히 3차원 해석으로 확장 가능함을 확인할 수 있었다.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.11a
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• pp.159-164
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• 2005

UAV(Unmanned Air Vehicle) 시스템은 새로운 알고리즘과 소프트웨어 디자인에 바탕을 두고 빠르게 발전하고 있다. 그러나, 일반적으로 쓰이고 있는 전자공학적인 제어 시스템은 개발의 복잡성과 그에 따른 이용증대에 대한 문제점을 가지고 있다. 이에 본 논문에서는 연속시간 시스템으로 표현되는 비행기 모델과 이의 효과적인 제어를 위해 이산사건 시스템으로 표현되는 조종사 모델간의 연동을 제안한다. 전자공학적 모델인 연속시스템은 자세한 표현력을 바탕으로 정량적이고 정확한 비행기 모델을 표현할 수 있으며 제어 모델인 이산사건 시스템은 각 사건과 시스템의 상태에 따른 정성적인 행동제어를 가능하게 한다. 본 연구는 한국항공대학교에서 개발한 이산사건 시뮬레이터인 DEJAVA(DEVS Java)와 연속시간시뮬레이터인 MATLAB 시뮬레이터 환경을 바탕으로, NASA에서 개발된 HL2O 비행시뮬레이터와 조종사 모델을 위한 지능제어시스템 개념을 사용하여 구현되었다.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.383-400
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• 2023

Air pollution-related diseases are escalating worldwide, with the World Health Organization (WHO) estimating approximately 7 million annual deaths in 2022. The rapid expansion of industrial facilities, increased emissions from various sources, and uncontrolled release of odorous substances have brought air pollution to the forefront of societal concerns. In South Korea, odor is categorized as an independent environmental pollutant, alongside air and water pollution, directly impacting the health of local residents by causing discomfort and aversion. However, the current odor management system in Korea remains inadequate, necessitating improvements. This study aims to enhance the odor management system by analyzing 1,010,749 data points collected from odor sensors located in Osong, Chungcheongbuk-do, using an Ensemble-Based Multi-Region Integrated Odor Concentration Prediction Model. The research results demonstrate that the model based on the XGBoost algorithm exhibited superior performance, with an RMSE of 0.0096, significantly outperforming the single-region model (0.0146) with a 51.9% reduction in mean error size. This underscores the potential for increasing data volume, improving accuracy, and enabling odor prediction in diverse regions using a unified model through the standardization of odor concentration data collected from various regions.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.329-352
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• 2022

It is reported that particulate matter(PM) penetrates the lungs and blood vessels and causes various heart diseases and respiratory diseases such as lung cancer. The subway is a means of transportation used by an average of 10 million people a day, and although it is important to create a clean and comfortable environment, the level of particulate matter pollution is shown to be high. It is because the subways run through an underground tunnel and the particulate matter trapped in the tunnel moves to the underground station due to the train wind. The Ministry of Environment and the Seoul Metropolitan Government are making various efforts to reduce PM concentration by establishing measures to improve air quality at underground stations. The smart air quality management system is a system that manages air quality in advance by collecting air quality data, analyzing and predicting the PM concentration. The prediction model of the PM concentration is an important component of this system. Various studies on time series data prediction are being conducted, but in relation to the PM prediction in subway stations, it is limited to statistical or recurrent neural network-based deep learning model researches. Therefore, in this study, we propose four transformer-based models including spatiotemporal transformers. As a result of performing PM concentration prediction experiments in the waiting rooms of subway stations in Seoul, it was confirmed that the performance of the transformer-based models was superior to that of the existing ARIMA, LSTM, and Seq2Seq models. Among the transformer-based models, the performance of the spatiotemporal transformers was the best. The smart air quality management system operated through data-based prediction becomes more effective and energy efficient as the accuracy of PM prediction improves. The results of this study are expected to contribute to the efficient operation of the smart air quality management system.

• Transactions of the Korean Society of Mechanical Engineers
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• v.9 no.6
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• pp.714-724
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• 1985

Two-phase(air-solid, air-liquid droplet) turbulent round jet has been analyzed numerically using two equation turbulence model. The mean motion of suspending particles in air has been treated as the secondary fluid with virtual density and eddy viscosity. In this paper, the local mean velocity of secondary fluid is not assumed to be the same as that of the primary one. Dissipation rate of turbulent kinetic energy which arises because the particles can not catch up with the turbulent fluctuations of the primary fluid has been modelled by using the concept of Kolmogorov's spectral energy transfer. Numerical computations were performed for flows with different volume fraction of the dispersed phase and the diameter of particle. Results show that the total rate of turbulent energy dissipation, turbulent intensities and spreading rate of jets are reduced by the increase of volume fraction of dispersed phase. However it does not show consistent tendency with increasing the particle diameter. This investigation also shows that presence of particles in the fluid modifies the structure of the primary fluid flow significantly. Predicted velocity profiles and turbulence properties qualitatively agree with available data.

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.1 s.15
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• pp.13-25
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• 2000

Road traffic-related environment problems has become now serious problem common in the urban life throughout the world. In this study, a GIS-supported evaluation system has been developed for dealing with the road traffic-related environment problems, especially focusing on air Pollution in the urban areas. The developed system consists lof three essential parts: GIS; traffic-related air pollution simulation model; and the database for potential strategies. In establishing the simulation model, a GIS-supported environment can provide a useful tool for handling a wide range of data characterizing study areas and for preparing more accurate estimation on real locations. Such roles of the GIS-supported system can be helpful to more efficient analysis and more reasonable decision-makings. As a preliminary stage in developing the system, the metropolitan area of Cairo in Egypt was applying into being as a Pilot study to test the Potentiality of the prototype system.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.12 no.10
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• pp.950-961
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• 2000

The objective of this study is to develop optimal alternative selection model for renewing building equipments system. Cost Breakdown Structure of LCC in HVAC systems are deduced from resonable data and factors. As for Cost Breakdown Structure of LCC in HVAC system, pertinent level, title, CBS number, and block number are determined efficiently. Especially, in addition to current cost factor, it is possible to make Cost Breakdown Structure using present worth method more clear. A model of POWER LCC ver 1.0 used to analyze primary cooling system, heating system, and air conditioning system are POWER LCC ver 1.0_/sub SYSTEM/ : C1+ C2- C3+ C4+ C5+ C6+ C7±C8+ C9- C10/sub -1/+ C10/sub -2/+ C10/sub -3/, and is implemented with consideration of Cost Breakdown Structure and their summation using present-worth method. It is programmed with one of scientific languages, MATLAB 5.3.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.15 no.5
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• pp.422-431
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• 2003

Theory of the building heat transfer is generally limited to the heat flux to the surfaces of windows and walls, which influences the indoor climate of a building, in the field of architectural environmental engineering. While the heat flux from the buildings to their environment has been considered in the viewpoint of urban climate, its conventional theory have been rarely examined. The purpose of this study is to propose a building-urban heat transfer model for defining the relation between the building and the urban climate by extending the building heat transfer model. In this study, the extended building heat transfer model, where response factor method is used, is established on the urban space and the indoor space by the boundary of building envelopes. Computer simulation (HASP/ACLD) is conducted on the subjected urban area by the established building-urban heat transfer model. As a result it is logically proved that the short waves of solar radiation, which interact with long Waves of radiation from the buildings and the earth, increase the urban air temperature ana buildings largely influence on the urban climate.

• Journal of Hydrogen and New Energy
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• v.33 no.4
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• pp.430-436
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• 2022

This paper presents the numerical model development of a microchannel heat exchanger in mobile air-conditioning and heat pump applications. The model has been developed based on the effectiveness-NTU method using a segment-by-segment modeling approach. State-of-art correlations are used for refrigerant- and air-side heat transfer coefficients and pressure drops. The calculated heat condenser capacities are in good agreement with experimental data, with an average difference of 1.86%. The current model can be used for microchannel condenser simulations under various operating conditions. It is anticipated to improve productivity in designing and optimizing microchannel heat exchangers with folded louver fin geometry.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.9
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• pp.947-954
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• 2015

The homogeneous coating of a flexible film that is applied to dye-sensitized solar cells is related to the performance and durability of the product. The applied coating is obtained from the uniform temperature distribution and the mass flow rate in the nozzle of the hot air dryer. In this study, we determine the uniform temperature distribution and mass flow rate of each nozzle by performing numerical simulations to understand how various factors affect the performance of the hot air dryer. The numerical model is composed of the momentum equation for flow motion and the energy equation for temperature. In addition, we compare the numerical results to the experimental results to validate the model. Based on the results, the round-hole plate inside the hot air dryer significantly affects the uniform temperature and the mass flow rate.