• 대한건축학회논문집:계획계
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• 제36권1호
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• pp.125-136
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• 2020

This study aims to seek a proper policy direction in response to the demand for apartment remodeling. As the research methods, we diagnosed the current status of the remodeling policy and analyzed the demand for apartment remodeling nationwide. According to the result of analysis, we suggested the fundamental direction and tasks for remodeling policies to be pursued at the government level. The results of the study are summarized as follows. First, the result of analysis showed that the demand for environmental improvement(performance improvement) remodeling project was much higher than other types of remodeling projects. The percentage of unit increased-type remodeling that can secure business feasibility is about 10% and only 30% when it comes to reducing project costs. The remaining 70-90% need to be promoted in environmental improvement remodeling projects which dependent on the residents' payment. Second, in order to prepare a policy action plan in response to the demand for apartment remodeling, it is necessary to set up clear policy goals and strategies for apartment remodeling in advance at the national level. Along with proactive goals and strategies, graded policy support should be accompanied per type of remodeling and business demand. We also suggest to simplify administrative procedures and support the R&D research to develop technologies. It would help to utilize the unit increased-type remodeling. On the other hand, for utilizing the environmental improvement remodeling which takes up a relatively high proportion, the policy should take care of as follows: offering housing performance information, rationalizing long term repair reserve, fostering small companies and experts. Finally, apartment management system should be advanced from the perspectives of managing old apartments and institutional foundations such as new construction and customized regulations for differentiated remodeling should be accompanied.

• 커뮤니케이션디자인학연구
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• 제57권
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• pp.398-407
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• 2016

본 논문은 관리자 중심의 지하철사고 대응 매뉴얼을 사용자 중심의 지하철안전 가이드로 바꾸어 시민 스스로 사고를 예방할 수 있는 안전의식의 필요성을 알리는 연구이다. 최근 국제 사회를 보면, 공공장소의 테러와 대형 재난 재해가 급증하고 있다. 특히 지하철 화재사고의 경우 대처방법에 따라 대형 인명피해로 이어질 수 있으므로 예방과 사고 시 대처방법이 중요하다. 그러나 지하철의 화재 안전 가이드는 현재 홈페이지에 가장 자세히 안내되어 있지만, 역사 내 홍보물은 역마다 각기 다른 위치에서 통일성 없는 내용으로 홍보하고 있다. 사용자 중심의 지하철 화재 안전 가이드는 첫째, 공공디자인의 이해를 바탕으로 남녀노소 누구나 알기 쉬운 유니버설디자인의 법칙이 적용 되어야 하며 둘째, 기관마다 다른 방식의 홍보물을 통한 일방적인 홍보가 아닌 일관성 있는 디자인과 커뮤니케이션이 필요하고, 마지막으로 일상에서 사용성과 접근성을 높여 시민 스스로 안전의식을 높이고 더 나아가 사고예방 훈련 및 캠페인의 참여로 확장되어야 한다.

• Animal Bioscience
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• 제34권7호
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• pp.1235-1242
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• 2021

Objective: The purpose of this study was to identify through infrared thermal imaging technology the facial surface temperature (FST) of laying hens in response to the variations in their thermal environment, and to identify the regional differences in FST to determine the most stable and reliable facial regions for monitoring of thermoregulatory status in chickens. Methods: Thirty Hy-Line Brown hens (25-week-old) were sequentially exposed to three different thermal conditions; optimal (OT, 22℃±2℃), low (LT, 10℃±4℃), and high temperature (HT, 30℃±2℃). The mean values of FST in five facial regions including around the eyes, earlobes, wattles, beak and nose, and comb were recorded through infrared thermography. The maximum FST (MFST) was also identified among the five face-selective regions, and its relationship with temperature-humidity index (THI) was established to identify the range of MFST in response to the variations in their thermal environment. Results: Hens exposed to OT condition at 15:00 displayed a higher temperature at wattles and around the eyes compared to other regions (p<0.001). However, under LT condition at 05:00 to 08:00, around the eyes surface temperature showed the highest value (p<0.01). In HT, wattles temperature tended to show the highest temperature over almost time intervals. Main distribution regions of MFST were wattles (63.3%) and around the eyes (16.7%) in OT, around the eyes (50%) in LT, and wattles (62.2%) and comb (18.3%) in HT. The regression equation between MFST and THI was estimated as MFST = 35.37+0.2383×THI (R² = 0.44; p<0.001). Conclusion: The FST and the frequency of MFST in each facial region of laying hens responded sensitively to the variations in the thermal environment. The findings of this experiment provide useful information about the effect of the thermal conditions on the specific facial regions, thus offering an opportunity to stress and welfare assessment in poultry research and industry.

• 아태비즈니스연구
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• 제12권2호
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• pp.97-114
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• 2021

Purpose - The purpose of this study was to examine the effects of privatization of Chinese state-owned enterprises (SOEs) on their initial returns and long-term performance after initial public offering(IPO). Design/methodology/approach - This study used 1,599 Chinese IPO firms, some of which were SOEs. The multivariate regression analyses were implemented to analyze their effects. Findings - First, the privatization of SOEs does not have any statistically significant effect on the initial return of IPO firms. Second, the shareholdings of government prior to IPOs for both privatizing of SOEs and non-privatizing firms and for both exchanges of Shanghai and Shenzhen have a statistically significant positive effect on the initial return of IPO firms. Third, the privatization of SOEs has statistically significant negative effect on the long-term returns of IPO firms. Fourth, the state-shareholdings prior to IPOs have statistically significant negative effects on the long-term return of IPO firms. Fifth, the state-shareholdings of the privatizing SOEs prior to IPOs have statistically significant positive effects on the long-term return of IPO firms. Research implications or Originality - The results imply that the higher shareholdings and ownership of the Chinese government on SOEs reduce the information asymmetry for the investors of IPO shares or maybe due to inefficiency of SOEs prior to IPOs lead to lower offer prices or higher opening prices leading to severe underpricing and relatively lower stock market returns in the long-run both for the privatizing firms and for the higher state-shareholding firms, while both factors interactively improve their long-term stock market returns.

• 한국시뮬레이션학회논문지
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• 제18권3호
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• pp.139-146
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• 2009

최근 국방관련 소프트웨어 산업은 자원 및 비용의 한계를 극복하기 위해서 M&S(Modeling & Simulation) 기반의 분산 시뮬레이션 시스템 개발을 늘리고 있다. 이러한 시스템을 개발하는데 있어 모의되는 개체의 재사용성과 개체 간 상호운용성의 제공은 핵심기술 중 하나이다. HLA 인터페이스 표준 구현물인 RTI는 이러한 핵심기술을 제공할 수 있는 소프트웨어로써, 시뮬레이션에 참여하는 모의기 간 정보교환을 위해서 시뮬레이션 연동모델인 FOM(Federation Object Model)을 사용하며, 각각의 모의기는 참여하는 시뮬레이션 내에서 동일한 FOM을 소유해야만 하는 특징을 지닌다. 본 논문에서는 기 개발된 HLA/RTI 기반의 시뮬레이션 네트워크 관리자에 적용된 연동모델의 재사용성과 상호운용성을 향상시키기 위해서 SISO 표준인 BOM(Base Object Model) 모델의 특징을 살펴보고, FOM 모델의 모듈화를 통해서 시뮬레이션 네트워크 관리자의 구조설계 방안을 제시한다.

• 한국식생활문화학회지
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• 제22권3호
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• pp.323-329
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• 2007

The objective of this study was to compare the healthy dining out attitude of restaurant diners by self-rated health status. Using healthy dining attitude and behavior questionnaire and a single question describing self-rated health status, the needs and importance of healthy dining out was detected. Mean age of the 182 respondents was 38.9${\pm}$11.37 years old and 37.4% of the respondents answered their mean monthly income was over 6,000,000won showing the subjects belonged in high income diners. The needs of healthy dining measured by five scales and offering healthy menus(3.80), labeling foods about original country(3.79), using environmentally friendly foodstuffs(3.71) and labeling nutrients on menu board(3.62) show higher score than others. A total of 76.4% of the respondents assessed their health status as 'good-rated Health' and 23.6% was 'poor-rated health'. There was no difference in frequency of eating out by self-perception of health status but, the 'poor-rated health' group need more nutrition information in restaurant specially for calorie(p<0.05), cholesterol(p<0.05), fiber(p<0.05), functional nutrients(p<0.001) showing significant differences comparing to 'good-rated health' group. In good-rated health group, selection of Korean cuisine for eating out was more frequent than the poor. The results shows the needs of healthy dining can be varied by diner's health status and therefore restaurateur should focus on understanding of the needs of diners with various health status.

• 실천공학교육논문지
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• 제14권3호
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• pp.573-577
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• 2022

본 논문에서는 2022년 노동부 지원 한국형 디지털 핵심 인재 양성 사업(K-Digital Training) 운영이 2021년 시작되어 2022년 하반기 공모를 거쳐 403개의 훈련과정을 통해 연간 훈련 인원 3.3만명을 확보하고 있다. 이에 디지털 인재양성으로 미래산업변화에 발빠르게 대응하겠다는 국가주도 인재양성 프로그램의 분야별 학습 만족도에 대한 성과 분석결과 프로그램 전반적인 만족도는 평균 4.27로 매우 높다. 그러나 취업연계에 대한 초기 기대는 4.2에서 학습 종료시점 3.91로 낮아지고 있다. 따라서 프로그램에 참여하는 기관의 취업연계를 위한 사전 준비가 되어 있어야 지속적인 프로그램의 만족도를 향상할 수 있을 것으로 기대된다.

• 산업경영시스템학회지
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• 제46권4호
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• pp.152-159
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• 2023

This study endeavors to enrich investment prospects in cryptocurrency by establishing a rationale for investment decisions. The primary objective involves evaluating the predictability of four prominent cryptocurrencies - Bitcoin, Ethereum, Litecoin, and EOS - and scrutinizing the efficacy of trading strategies developed based on the prediction model. To identify the most effective prediction model for each cryptocurrency annually, we employed three methodologies - AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Prophet - representing traditional statistics and artificial intelligence. These methods were applied across diverse periods and time intervals. The result suggested that Prophet trained on the previous 28 days' price history at 15-minute intervals generally yielded the highest performance. The results were validated through a random selection of 100 days (20 target dates per year) spanning from January 1st, 2018, to December 31st, 2022. The trading strategies were formulated based on the optimal-performing prediction model, grounded in the simple principle of assigning greater weight to more predictable assets. When the forecasting model indicates an upward trend, it is recommended to acquire the cryptocurrency with the investment amount determined by its performance. Experimental results consistently demonstrated that the proposed trading strategy yields higher returns compared to an equal portfolio employing a buy-and-hold strategy. The cryptocurrency trading model introduced in this paper carries two significant implications. Firstly, it facilitates the evolution of cryptocurrencies from speculative assets to investment instruments. Secondly, it plays a crucial role in advancing deep learning-based investment strategies by providing sound evidence for portfolio allocation. This addresses the black box issue, a notable weakness in deep learning, offering increased transparency to the model.

• 대한불안의학회지
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• 제19권2호
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• pp.61-68
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• 2023

Objective : The purpose of this study was to investigate the associations between psychosocial factors and the mask-wearing behavior after deregulation of COVID-19 quarantine guidelines among adults in Korea. Methods : We collected data (345 subjects) from online questionnaire survey. The questionnaire included the Korean version of the Patient Health Questionnaire-9, the Korean version of fear of COVID-19 Scale, the Korean version of the Patient Health Questionnaire-15, Korean versions of the Perceived Stress Scale, and measurement tools adapted from previous studies for COVID-19 risk perception, social stigma, and appearance interest of subjects. We analysed data using SPSS version 23.0 for descriptive statistics, chi-square test, and logistic regression analysis. Results : People with cohabitant or mask-wearing tendency before COVID-19 pandemic had a higher rate of mask-wearing than those who were not. Subjects reporting higher level of social stigma (OR=1.154, 95% CI 1.049-1.270) and COVID-19 anxiety (OR=1.072, 95% CI 1.007-1.141) were more likely to report maskwearing behavior. Conclusion : From the results, appropriate intervention to those who fear social stigma and are anxious to the infectious diseases will be needed. Additionally, providing policies and guidelines that consider cohabitants and offering continuous education with information of disease to the public are also expected to helpful for recovery of daily life from infectious diseases.

• 한국BIM학회 논문집
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• 제13권4호
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• pp.96-105
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• 2023

This study focuses on developing a building object recognition technology for efficient use in the remodeling of buildings constructed without drawings. In the era of the 4th industrial revolution, smart technologies are being developed. This research contributes to the architectural field by introducing a deep learning-based method for automatic object classification and recognition, utilizing point cloud data. We use a TD3D network with voxels, optimizing its performance through adjustments in voxel size and number of blocks. This technology enables the classification of building objects such as walls, floors, and roofs from 3D scanning data, labeling them in polygonal forms to minimize boundary ambiguities. However, challenges in object boundary classifications were observed. The model facilitates the automatic classification of non-building objects, thereby reducing manual effort in data matching processes. It also distinguishes between elements to be demolished or retained during remodeling. The study minimized data set loss space by labeling using the extremities of the x, y, and z coordinates. The research aims to enhance the efficiency of building object classification and improve the quality of architectural plans by reducing manpower and time during remodeling. The study aligns with its goal of developing an efficient classification technology. Future work can extend to creating classified objects using parametric tools with polygon-labeled datasets, offering meaningful numerical analysis for remodeling processes. Continued research in this direction is anticipated to significantly advance the efficiency of building remodeling techniques.