Passengers on public buses operating in the metropolitan area are exposed to the closed indoor air for minutes to hours. The indoor air quality of buses is mostly controlled through ceiling-mounted ventilation and filtration devices. A simulation study using a commercial code was conducted for fluid flow analysis to evaluate the potential effectiveness of an air purifier that can be inserted into bus windows to supply clean air from the outside to the inside. As a result of field measurements, the average CO2 concentration inside the bus during morning and evening rush hours ranged from 2,106±309 ppm to 3,308 ± 255 ppm depending on the number of passengers on board. This exceeded the Guideline for Public Transportation. The optimal installation position of an air purifier appeared to be the front side of the bus. In fact, even a low diffusing flow velocity of 0.5m/s was effective enough to maintain a low concentration of CO2 throughout the indoor space. Based on numerical analysis predictions with 45 passengers on board, the maximum CO2 concentration in the breathing zone was 2,203 ppm with the operation of an air purifier.

In the nuclear fuel cycle (NFC) facilities, the failure of Heating Ventilation and Air Conditioning (HVAC) system starts with minor component failures and can escalate to affecting the entire system, ultimately resulting in radiological consequences to workers. In the field of air-conditioning and refrigerating engineering, the fault detection and diagnosis (FDD) of HVAC systems have been studied since faults occurring in improper routine operations and poor preventive maintenance of HVAC systems result in excessive energy consumption. This paper aims to provide a systematic review of existing FDD methods for HVAC systems therefore explore its potential application in nuclear field. For this goal, typical faults and FDD methods are investigated. The commonly occurring faults of HVAC are identified through various literature including publications from International Energy Agency (IEA) and American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). However, most literature does not explicitly addresses anomalies related to pressure, even though in nuclear facilities, abnormal pressure condition need to be carefully managed, particularly for maintaining radiological contamination differently within each zone. To build simulation model for FDD, the whole-building energy system modeling is needed because HVAC systems are major contributors to the whole building’s energy and thermal comfort, keeping the desired environment for occupants and other purposes. The whole-building energy modeling can be grouped into three categories: physics-based modeling (i.e., white-box models), hybrid modeling (i.e., grey-box models), and data-driven modeling (i.e., black-box models). To create a white-box FDD model, specialized tools such as EnergyPlus for modeling can be used. The EnergyPlus is open source program developed by US-DOE, and features heat balance calculation, enabling the dynamic simulation in transient state by heat balance calculation. The physics based modeling has the advantage of explaining clear cause-and-effect relationships between inputs and outputs based on heat and mass transfer equations, while creating accurate models requires time and effort. Creating a black-box FDD model requires a sufficient quantity and diverse types of operational data for machine learning. Since operation data for HVAC systems in existing nuclear cycle facilities are not fully available, so efforts to establish a monitoring system enabling the collection, storage, and management of sensor data indicating the status of HVAC systems and buildings should be prioritized. Once operational data are available, well-known machine learning methods such as linear regression, support vector machines, random forests, artificial neural networks, and recurrent neural networks (RNNs) can be used to classify and diagnose failures. The challenge with black-box models is the lack of access to failure data from operating facilities. To address this, one can consider developing black-box models using reference failure data provided by IEA or ASHRAE. Given the unavailability of operation data from the operating NFC facilities, there is a need for a short to medium-term plan for the development of a physics-based FDD model. Additionally, the development of a monitoring system to gather useful operation data is essential, which could serve both as a means to validate the physics-based model and as a potential foundation for building data-driven model in the long term.

In the dismantling of nuclear power plants, various forms of radioactive gaseous waste are generated when cutting concrete and metal structures. Large amounts of radioactive dust and aerosols generated during the cutting process of each structure can cause radiation exposure to the environment around the workplace and to the radiation exposure in the body of workers. When cutting structures, water is sprayed to reduce the generation of aerosols, so early saturation of the filter is expected due to radioactive aerosols and fine particles containing a large amount of moisture. A mobile air purification device is being developed to a fast and efficient air purifier that can be used for a long time operation to protect workers from radiation exposure in high radiation areas and to minimize the amount of secondary waste generated. In this paper, the direction for a new concept of unit technology that can achieve the development purpose is described.

Recently a biosafety level-3(BL-3) mobile laboratory has been set up for the virus scanning and vaccine development because of the COVID-19 pandemic. The study on air flow inlet and outlet location and its flow direction with ventilation in the mobile laboratory needs to prevent spread of COVID-19 virus because the COVID-19 virus is primarily transmitted to people through respiratory droplets and aerosol coming out as their coughing. This study is conducted on the air flow pattern optimization in BL-3 mobile laboratory with various design specifications of position of air supply & exhaust port and particle source. Air flow patterns of ceiling supply-exhaust and ceiling supply-bottom side exhaust with particle source were determined to compare the impact of the infection prevention. CFD simulation was used to analyze for two air flow patterns and particle source position. Numerical results showed that air flow pattern of air conditioning system with ceiling supply-exhaust in a row is more effective than that of ceiling supply-bottom side exhaust air flow pattern in terms of infection prevention in biosafety mobile laboratory.

This study divided the coast of Gyeongsangnam-do into three specialized base areas to revitalize tourism on the southern coast and suggested using AAM for movement within base areas. It analyzes the feasibility of advanced transportation means to revitalize coast tourism. It presents a new perspective and the environmental change in the tourism field. The results of this study are expected to have great implications in that it’s applicable to all marine tourism on the southern coast, including Jeollanam-do and Busan, beyond Gyeongsangnam-do.

This study aimed to assess and determine the optimal model for predicting the full bloom date of ‘Fuji’ apples across South Korea. We evaluated the performance of four distinct models: the Development Rate Model (DVR)1, DVR2, the Chill Days (CD) model, and a sequentially integrated approach that combined the Dynamic model (DM) and the Growing Degree Hours (GDH) model. The full bloom dates and air temperatures were collected over a three-year period from six orchards located in the major apple production regions of South Korea: Pocheon, Hwaseong, Geochang, Cheongsong, Gunwi, and Chungju. Among these models, the one that combined DM for calculating chilling accumulation and the GDH model for estimating heat accumulation in sequence demonstrated the most accurate predictive performance, in contrast to the CD model that exhibited the lowest predictive precision. Furthermore, the DVR1 model exhibited an underestimation error at orchard located in Hwaseong. It projected a faster progression of the full bloom dates than the actual observations. This area is characterized by minimal diurnal temperature ranges, where the daily minimum temperature is high and the daily maximum temperature is relatively low. Therefore, to achieve a comprehensive prediction of the blooming date of ‘Fuji’ apples across South Korea, it is recommended to integrate a DM model for calculating the necessary chilling accumulation to break dormancy with a GDH model for estimating the requisite heat accumulation for flowering after dormancy release. This results in a combined DM+GDH model recognized as the most effective approach. However, further data collection and evaluation from different regions are needed to further refine its accuracy and applicability.

PURPOSES : The purpose of this study was to improve the performance of concrete pavements by decreasing measurement deviations using an Internet of Things (IoT)-based air content measurement device. METHODS : We calculated the properties of concrete which varied according to the air content. For a low measurement deviation, the concrete pavement performed according to the design standard. To confirm the difference in the performance of the concrete pavement for various air contents, we verified the change in the relative dynamic modulus according to the number of freeze–thaw cycles for each value of the air content. In addition, we analyzed the number of durability cracks according to the freeze–thaw cycles in the field. RESULTS : We confirmed that IoT-based measurement equipment improved the performance of pavements without changing their mixing designs or specifications. We confirmed that the performance of concrete pavements changed even with variations in air content within the range of quality standards. Using IoT-based air content management, we confirmed the reduction in concrete pavement durability cracks without changing the mixing design. CONCLUSIONS : We confirmed that IoT-based air-content management improved pavement performance. The feasibility of extending this concept to manage other concrete properties such as the chloride content should be acknowledged. Future research will require laboratory tests to understand the variation in concrete properties with varying air contents and to consider diverse load conditions.

DWI 검사 시 인체 조직 및 병변에 근접한 공기는 영상왜곡을 가중해 병변 감별에 어려움을 준다. 이에 본 연구는 팬텀을 제작하 여 기하학적 왜곡을 줄여주는 SMS RESOLVE DWI를 통해 공기 자화율에 의한 왜곡 변화를 정량화하였다. 팬텀은 원통형으로 내부에 공기가 존재하도록 설계하였다. 제한된 환경 속에서 다양한 자화율에 의해 왜곡이 영상에 구현되도록 팬텀 내부에는 증류수, 젤라틴 외 혼합 물질과 공기를 구분되게 채웠다. 팬텀의 정렬을 다르게 하여 공기 있는 상태 실험을 진행 후, 공기 대신 혼합액 넣은 상태 실험을 같은 방식으로 진행하였고 혼합액 대신 증류수 넣은 상태 실험을 진행하였다. 3T MRI 장비로 T2WI, C DWI, SMS-RESOLVE DWI를 촬영하였고 파이썬 OpenCV로 이미지 유사도를 측정 후 비교 분석하였다. 실험 결과 공기 있는 상태 SMS-RESOLVE DWI b0에서 SSIM 평균 0.898, MSE 평균 0.068로 영상왜곡이 가장 적었다. SMS-RESOLVE DWI의 공기 자화율 왜곡 변화는 b0 기준 SSIM, MSE 모두 –0.033~0.003 이미지 유사도 차이를 보였다. SMS-RESOLVE DWI b1000은 수치상 이미지 유사도 차이가 크지 않거나 감쇄되는 때도 있어서 향후 SNR 보완에 초점을 둔다면 보다 개선된 영상진단 성능을 제공할 것으로 기대되고 오픈 소스 라이브러리를 통해 오차를 최소화한 이미지 처리와 유사도를 분석하는 새로운 시도는 앞으로의 연구 방향에 새 모델을 제시한다.

This study was carried out to develop a system to reduce ultrafine dust using hygroscopic materials such as glycerin and propylene glycol. Prior to the development of an ultrafine dust reduction system, the moisture condensation efficiency of glycerin and propylene glycol was investigated based on relative humidity (RH). The results showed that when no substances (glycerin and propylene glycol) were added to a tedlar bag, the relative humidity and temperature remained constant. The moisture condensation efficiency of glycerin was 60%, and the time it took to reach 50% of the initial relative humidity was about 40minutes. In the case of propylene glycol, the moisture condensation efficiency was 75%, and the time it took to reach 50% of the initial relative humidity was about 10 minutes. When glycerin and propylene glycol mixture was added, the moisture condensation efficiency was 68% and it took 20 minutes to reach 50% of the initial relative humidity. These results suggest that hygroscopic materials such as glycerin and propylene glycol can actually condense moisture in the atmosphere. In addition, considering actual atmospheric conditions, the relative humidity was set to 60% and 40% or less, and the moisture condensation efficiency was measured. The results showed that the mixture of glycerin and propylene glycol yielded the highest condensation efficiencies, at 69% and 62%, respectively. Therefore, it is preferable to use a mixture of glycerin and propylene glycol to condense moisture in the range of relative humidity in the actual atmosphere.

먼지 필터 막은 인간의 건강, 안전 및 환경 보호의 몇 가지 중요한 측면에 기여하기 때문에 인간의 삶과 다양한 산업에서 중요한 역할을 한다. 이 연구는 고온 조건에 대한 우수한 열안정성과 접착 특성을 가진 polysulfone@polyphenylene sulfide/polytetrafluoroethylene (PSf@PPS/ePTFE) 복합 먼지 필터 막의 개발을 제시한다. FT-IR 분석은 PSF 접착제가 PPS 직 물에 성공적으로 함침되고 ePTFE 지지체와의 상호 작용을 확인한다. FE-SEM 이미지는 향상된 섬유 상호 연결 및 PSf 농도 와 함께 접착력을 보여준다. PSf@PPS/ePTFE-5는 가장 적합한 다공성 구조를 보여준다. 복합 막은 400°C까지 예외적인 열 안정성을 보여준다. 박리 저항 테스트는 먼지 여과에 대한 충분한 접착력을 보여 공기 투과성을 희생시키지 않고 힘든 고온 조건에서 신뢰할 수 있는 성능을 보장한다. 이 막은 산업 응용 분야에서 유망한 잠재력을 제공한다. 더 나아가 최적화 및 응 용 가능성을 탐구할 수 있다.

Marketing research in hospitality and tourism has been rising continuously. This study provides a systematic review on marketing research and air transport. It identifies key themes and tracks the changes in scholarly researchers’ perspectives pre and post pandemic. By approaching this review not only from the tourism and air transport perspectives, but also from the marketing perspective, this allows the transfer of theories between disciplines, an added value that provides the basis for a field of research to expand and further evolve. Finally, a conceptual framework and an agenda for future research based on emerging research topics are provided.

In this study, the thermal equilibrium of a motor operated in the sea and the temperature in the equilibrium were studied. To predict the equilibrium temperature in the sea, the cooling performance of the motor was studied by comparing results of analysis and experimental results in the air condition. By this study, the method of prediction of the cooling performance of a motor in various environments could be useful.

The following results were obtained by conducting a flow experiment. The experiment with air volume showed that the ducts with 3 shapes in the same cross-sectional area were large in the order of circular duct, square duct, and flexible duct. As a result of measuring the pressure value by duct shape to determine the cause of the difference between the flow rate and the air volume value by duct, the negative pressure was large in the order of circular duct, square duct, and flexible duct. in the countercurrent test, In the case of circular ducts, the deviation was high, In the case of Flexible ducts, the mild increase in the countercurrent is judged to be the difference in pressure and friction received by shape.

2020년 6월부터 8월까지 일본 도쿄 남쪽 940 km 해상에 위치한 니시노시마 화산이 분화하였다. 2020년 7월 말 발생한 분화로 인한 화산재와 화산가스 일부가 우리나라에 영향을 주었을 가능성이 있는 것으로 보도되었다. 본 연구에 서는 화산재 확산 수치모의 프로그램인 Ash3D를 이용하여 현지시각 2 02 0년 7월 2 8일 0시에 화산폭발지수 3의 분화가 발생한 것으로 설정하고 수치모의를 실시하였다. 수치모의 결과, 화산재가 니시노시마 인근에서 동풍을 타고 7월 30일 새벽 오키나와에 도달한 이후 남풍을 타고 북상하여 8월 1일 제주도에 상륙하고 시계방향으로 회전하듯이 이동하면서 8월 2일에는 남부지방에 영향을 주는 것으로 나타났다. 실제 측정된 PM10 미세먼지농도는 제주도 고산기상관측소에서 8월 1일부터, 부산 구덕산기상관측소에서는 8월 2일부터 상승한 것으로 나타나 니시노시마 화산 분화가 제주도 및 남 부지방의 미세먼지 수치에 영향을 준 것으로 보인다.