• Journal of KIBIM
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• v.13 no.2
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• pp.29-36
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• 2023

This study explores the potential of utilizing video-based data analysis and machine learning techniques to estimate the number of occupants within a building. The research methodology involves developing a sophisticated counting system capable of detecting and tracking individuals' entry and exit patterns. The proposed method demonstrates promising results in various scenarios; however, it also identifies the need for improvements in camera performance and external environmental conditions, such as lighting. The study emphasizes the significance of incorporating machine learning in architectural and urban planning applications, offering valuable insights for the field. In conclusion, the research calls for further investigation to address the limitations and enhance the system's accuracy, ultimately contributing to the development of a more robust and reliable solution for building occupancy estimation.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.153-166
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• 2022

The study estimates the Structured VAR and the Dynamic Stochastic General Equilibrium Model for the Vietnamese economy based on the new Keynesian model for small and open economies, with the output gap, inflation, policy interest rate, the Vietnamese exchange rate, and the inflation and interest rate in the United States. The paper aims to clarify the impulse response of the macro variables through their shocks. It offers to model the SVAR and DSGE processes, as well as describe why and how interest rate policy is important in the impulse response of macro variables like the output gap and inflation process. The study supports the central role of monetary policy by giving empirical evidence for the new Keynesian theory, according to which an interest rate shock causes the output gap to widen and inflation to decrease. Finally, the application of the DSGE model is becoming more and more popular in the State Bank of Viet Nam to improve its policy planning, analyzing, and forecasting policy towards sustainable and stable growth.

• Journal of The Korea Institute of Healthcare Architecture
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• v.30 no.1
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• pp.27-36
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• 2024

Purpose: The role and facilities of public health centers responsible for local health are becoming increasingly important due to recurring infectious diseases such as COVID-19. With sudden outbreaks of infectious diseases, the infrastructure of public health center facilities like screening clinics are constructed varies depending on local conditions. resulting in discrepancies between intended usage and actual usage. Establishing guidelines for infectious disease response facilities that can be efficiently used within local communities is necessary. Methods: Field surveys are conducted at 6 public health centers to gather insights into the essential rooms, circulation patterns, and key considerations for space planning in screening clinics. Results: Ten design considerations emerge from the data, including spatial requirements, circulation guidelines, and considerations for accommodating diverse user needs and local conditions. Implications: Further research is needed to translate these guidelines into prototypes of temporary facilities.

• Journal of Korean Society of Disaster and Security
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• v.9 no.1
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• pp.39-45
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• 2016

The disasters in Korea, such as the Sewol Ferry Ship sinking disaster has had problems related to the medical response system, with the problems of emergency medical support team in the site, the cooperation between medical staff and fire department officer at disaster site, field medical support and hospital acceptance of the wounded in trouble, the lack of specific systematic medical response manual. Therefore, from May 2014, when the disaster emergency information center in Central Emergency Medical Center starts, collection, modification and education of scattered preexisting disaster emergency medical manual had appeared as important issues. So, it was necessary to develop the early medical response system to disaster. The correction planning of disaster emergency medical response system by Central Emergency Medical Center included quick response system with the fast medical team operation, but the practical application was not enough. So the researcher and his team developed the first Korean disaster emergency medical response manual and the process of development was documented and arranged with the application by education and training.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.2
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• pp.75-93
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• 2022

Machine learning (ML) data-driven meta-model is proposed as a surrogate model to reduce the excessive computational cost of the physics-based model and facilitate the real-time prediction of a nuclear power plant's transient response. To forecast the transient response three machine learning (ML) meta-models based on recurrent neural networks (RNNs); specifically, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), and a sequence combination of Convolutional Neural Network (CNN) and LSTM are developed. The chosen accident scenario is a control element assembly withdrawal at power concurrent with the Loss Of Offsite Power (LOOP). The transient response was obtained using the best estimate thermal hydraulics code, MARS-KS, and cross-validated against the Design and control document (DCD). DAKOTA software is loosely coupled with MARS-KS code via a python interface to perform the Best Estimate Plus Uncertainty Quantification (BEPU) analysis and generate a time series database of the system response to train, test and validate the ML meta-models. Key uncertain parameters identified as required by the CASU methodology were propagated using the non-parametric Monte-Carlo (MC) random propagation and Latin Hypercube Sampling technique until a statistically significant database (181 samples) as required by Wilk's fifth order is achieved with 95% probability and 95% confidence level. The three ML RNN models were built and optimized with the help of the Talos tool and demonstrated excellent performance in forecasting the most probable NPP transient response. This research was guided by the Systems Engineering (SE) approach for the systematic and efficient planning and execution of the research.

• Communications for Statistical Applications and Methods
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• v.14 no.1
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• pp.1-9
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• 2007

A three-state Markov logistic regression model is suggested to forecast the probability of tomorrow's precipitation based on the current meteorological situation. The suggested model turns out to be better than Markov regression model in the sense of the mean squared error of forecasting for the rainfall data of Seoul area.

• Wind and Structures
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• v.4 no.2
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• pp.101-118
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• 2001

This paper reports the field measurements concerning pressure equalization of rainscreen facades carried out at the Technical University of Eindhoven (TUE) in the Netherlands. The field facility including the details of test panel, meteorological tower, instrumentation, data collection and analysis is presented. Results of investigations into cavity response for various leakage and venting configurations are discussed. Frequency domain techniques have been utilized to show the influence of wind as well as facade characteristics on the pressure equalization performance. Further, this paper presents an early attempt to synthesize the experimental results into existing building codes.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.487-488
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• 2015

수요자원의 전력시장 참여가 확대됨에 따른 발전자원의 설비 건설비용 및 운영비용 감소 유도를 위해 발전자원과 수요자원을 동등한 형태로 전원계획에 참여 가능하다. 즉, 지역 별 수요자원의 특성을 고려하여 발전자원과 수요자원을 통합한 전원계획 수립을 할 수 있을 것이다. 본 논문에서는 지역 별 수요자원 산정 후, 발전자원과 수요자원을 동등하게 고려한 전원계획문제를 정식화 한다.

• 한국정보통신설비학회:학술대회논문집
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• 2005.08a
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• pp.280-284
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• 2005

본 논문에서는 의류 산업에 있어서의 RFID 응용에 대해 고찰한다. RFID의 유래 및 정의, 특성을 고찰하고, RFID의 국내외 동향을 검토한후, RFID 응용 서비스의 고도화 모델에 대해 논한다. 그리고 나서, 지금 위기에 빠져 있는 국내의 섬유 산업과 유사한 환경에 처했던 미국 등 선진국의 대처 방법을 논한 후에, 의류 산업에 있어서의 RFID 응용성을 검토한다.

• Journal of Korea Water Resources Association
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• v.52 no.12
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• pp.1067-1074
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• 2019

In Korea, there are long-term rainfall observation data using Cheugugi, but it is relatively insufficient to use the data for water resources planning and management. In this study, river runoff is estimated based on the measurement data using Cheugugi so that it can be used as a scenario for the water resources planning process. After deriving the relationship between rainfall and runoff, the results are applied to the observations of Cheugugi to estimate the Han River runoff. An analysis of the estimated river runoff is made to confirm that there is a very severe drought for three consecutive years from 1900 to 1902. Especially, it is analyzed that there is a very small runoff in 1901, which is 8.6% compared to the average of estimated runoff. Consequently, it is judged that the results of this study can be useful as a scenario for water resources planning or drought response planning.