• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2010.11a
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• pp.321-327
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• 2010

A simplified analytical modeling for micro-sized single metal particle combustion in air was conducted in the present study. The metal particle combustion consists of two distinct reaction regimes, ignition and quasi-steady burning, and the thermo-fluidic phenomena in each stage are formulated by virtue of the conservation and transport equations. Reliability of the model is shown by rigorous validation of the method with emphasis laid on the characterizing the commanding parameters. Effects of Initial particle size, initial oxide film thickness, convection, ambient pressure and temperature are examined and addressed with validation.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.9 no.1
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• pp.52-59
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• 1998

We calculated the wave attenuation due to rain using the effective permittivity of the air with raindrops. The effective permittivity depends on the complex permittivity of rain drop and the fractional volume occupied by the raindrops. We calculate the complex permittivity of rain drop and the raindrops' volume using Marshall-Palmer Rain drop size distribution. The rain attenuation calculated by effective permittivity is compared with the results of ITU rain attenuation model, and the two rain attenuation models have a very close agreement. The effetive permittivity model underestimates the rain attenuation under 50 GHz, and overestimate at the frequencies under 50 GHz copmpared with the ITU model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.88-98
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• 2016

The Korean summer is hot and humid, and air-conditioners consume considerable amounts of electricity. In such cases, the simultaneous use of indirect evaporative coolers may help reduce the sensible heat and save electricity. In this study, heat transfer and pressure drop characteristics of indirect or regenerative evaporative coolers made from plastic/paper are investigated. The results showed that heat and mass transfer model based on the ${\epsilon}-NTU$ method predicted the indirect evaporation efficiencies, cooling capacities and pressure drops adequately. Both for indirect or regenerative evaporative cooler, the indirect evaporation efficiency increased with increasing dry channel inlet temperature or relative humidity. The indirect evaporation efficiency of the regenerative evaporative cooler was larger than that of the indirect evaporative cooler.

• Annual Conference of KIPS
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• 2003.05a
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• pp.149-152
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• 2003

본 논문에서는 분산 실시간 서비스를 지원하는 TMO(Time-triggered Message-triggered Object) 객체를 기반으로 정보가전 기기들을 관리하기 위한 실시간 정보가전 제어 시뮬레이터를 설계 및 구현한다. TMO객체는 기존 객체를 확장한 실시간 특성을 자체적으로 가지는 객체를 UCI의 DREAM연구소에서 제안한 분산 실시간 객체이다. 이러한 TMO 객체를 기반으로 TMOSM(TMO Support Middelware) 상에서 실시간 정보가전 제어를 위한 TMO 객체들의 상호 동작과 실시간 속성을 설계하여 보장된 실시간 서비스를 지원하도록 한다. 본 시뮬레이션 모델은 온도제어, 조도제어, 방법제어 서비스를 지원하는 컴포넌트들로 구성된다. 온도제어 서비스를 위해 Fan_TMO와 Air_Conditioner_TMO, Heater_TMO가 상호 작용하여 적정 실내 온도를 유지하도록 하며, 조도제어 서비스를 위해 Light_TMO가 조도의 변화에 따라 동작하여 일상생활에 적당한 조명 환경을 제공한다. 또한 방범제어서비스를 위해 Camera_TMO가 정해진 시간을 주기적으로 동작하여 방범 활동을 수행한다. 그리고, 각각의 TMO 정보가전 객체들의 동작을 관리하고 서비스 수행 결과를 모니터링 하는 Home_Server_TMO가 존재한다. 마지막으로 설계된 시뮬레이션 환경을 구현하여 본 모델의 실시간 정보가전 제어 서비스를 정확하게 지원하는지를 검증한다. 제안한 시뮬레이션 환경은 일반 정보가전기기를 추가 작업 없이 실시간 서비스 지원 객체로 적용할 수 있는 모델이다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.04a
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• pp.341-350
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• 2011

A simplified analytical study for micro-sized single metal particle combustion in air was conducted in the present study. The metal particle combustion consists of two distinct reaction regimes, ignition and quasi-steady burning, and the thermo-fluidic phenomena in each stage are formulated by virtue of the conservation and transport equations. When particle temperature reaches to 1200 K, ended an ignition stage and was converted at quasi-steady combustion stage. Effects of Initial particle size, convection, ambient pressure and temperature are examined and addressed with validation.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.319-328
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• 2021

In this paper, we perform prediction of amount of electric power plant for complex of wind plant using multi-layer perceptron in order to calculate exact calculation of capacity of ESS to maximize profit through generation and to minimize generation cost of wind generation. We acquire wind speed, direction of wind and air density as variables to predict the amount of generation of wind power. Then, we merge and normalize there variables. To train model, we divide merged variables into data as train and test data with ratio of 70% versus 30%. Then we train model by using training data, and we alsouate the prediction performance of model by using test data. Finally, we present the result of prediction in amount of wind power.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.2
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• pp.45-52
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• 2019

BEMS(Building Energy Management Systems) have been applied to office buildings and collect relevant building energy data, e.g. temperatures, mass flow rates and energy consumptions of building mechanical systems and indoor spaces. The aforementioned measured data can be beneficially utilized for developing data-driven machine learning models which can be then used as part of MPC(Model Predictive Control) and/or optimal control strategies. In this study, the authors developed ANN(Artificial Neural Network) models of an AHU (Air Handling Unit) and a chiller for a real-life office building using BEMS data. Based on the ANN models, the authors developed optimal control strategies, e.g. daily operation schedule with regard to optimal start and stop of the AHU and the chiller (500 RT). It was found that due to the optimal start and stop of the AHU and the chiller, 4.5% and 16.4% of operation hours of the AHU and the chiller could be saved, compared to an existing operation.

• Journal of the Korean Society of Propulsion Engineers
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• v.25 no.1
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• pp.29-41
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• 2021

The PID controller with fin angle and thrust as control input was designed based on the aerodynamic data of scramjet system. Flight simulation following a given trajectory which strike the target point after climb and cruise with constant dynamic pressure was conducted. After that, the required thrust for the climb and cruise was calculated and the required fuel flow rate for the hydrogen fuel dual mode scramjet combustor was analyzed. The combustor analysis of this study which conducted on integrated model of independently developed inlet, combustor, nozzles and external aerodynamic models, laying the foundation for the integrated design of the air breathing hypersonic system.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.5
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• pp.317-323
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• 2022

In this paper, a deep neural network(DNN) model for predicting the vibration characteristics of the composite rotor blade with c-spar cross section was developed. Herein, the present DNN model is defined by using the natural frequencies obtained through the in-house code based on the nonlinear co-rotational(CR) shell element. For the present DNN model, the accuracy of the model was evaluated via the data with a random distribution of thickness and a tendency to decrease in thickness along the blade span.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.3
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• pp.30-41
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• 2023

Aviation turbulence, caused by atmospheric eddies, is a disruptive phenomenon that leads to abrupt aircraft movements during flight. To minimize the damages caused by such aviation turbulence, the Aviation Meteorological Office provides turbulence information through the Korea aviation Turbulence Guidance (KTG) and the Global-Korean aviation Turbulence Guidance (GKTG). In this study, we evaluated the performance of the KTG and GKTG models by comparing the in-situ EDR observation data and the generated aviation turbulence prediction data collected from the mid-level Korean Peninsula region from January 2019 to December 2021. Through objective validation, we confirmed the level of prediction performance and proposed improvement measures based on it. As a result of the improvements, the KTG model showed minimal difference in performance before and after the changes, while the GKTG model exhibited an increase of TSS after the improvements.