• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2023년도 학술발표회
• /
• pp.245-245
• /
• 2023

This paper examines the extent to which the Mekong River Basin countries have achieved socioeconomic benefits based on regional cooperation through the Greater Mekong Subregion (GMS) Program, focusing on hydropower development and the Mekong Power Grid. This study pays attention to the time period from 2012 to 2022. The benefit sharing approach is employed to evaluate the extent to which hydropower development and the Mekong Power Grid have contributed to the regional energy trade in the GMS program. The GMS program was launched by the Asian Development Bank (ADB) in 1992, and the Chinese provinces of Yunnan and Guangxi, Myanmar, Lao PDR, Thailand, Cambodia, and Vietnam have taken an active part in the program. The goals of the GMS program are to achieve poverty alleviation, economic development, and regional cooperation in various sectors, including energy, tourism, and transportation. The GMS Economic Cooperation Program Strategic Framework 2030 (GMS-2030), in 2021, provides a new framework for prosperous and sustainable development in the river basin. In the energy sector, the GMS program has been instrumental in facilitating hydropower development and creating the Mekong Power Grid with the Regional Grid Code (RGC), contributing to economic benefits and promoting regional trade of hydroelectricity. It is argued that the GMS program has enhanced regional cooperation between the riparian countries. Despite such achievements, the GMS program has faced challenges, including the gap of economic development between the riparian countries, socioeconomic and environmental concerns regarding hydropower development between the Upper and Lower Mekong countries, and geopolitical tensions from the US-China rivalry. These challenges should adequately be addressed within the program, which can guarantee the sustainability of the program for the river basin.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2023년도 학술발표회
• /
• pp.179-179
• /
• 2023

This study suggests a new approach of water level forecasting for extended lead times using original data preprocessing with variational mode decomposition (VMD). Here, two machine learning algorithms including light gradient boosting machine (LGBM) and random forest (RF) were considered to incorporate extended lead times (i.e., 5, 10, 15, 20, 25, 30, 40, and 50 days) forecasting of water levels. At first, the original data at two water level stations (i.e., SW173 and SW269 in Bangladesh) and their decomposed data from VMD were prepared on antecedent lag times to analyze in the datasets of different lead times. Mean absolute error (MAE), root mean squared error (RMSE), and mean squared error (MSE) were used to evaluate the performance of the machine learning models in water level forecasting. As results, it represents that the errors were minimized when the decomposed datasets were considered to predict water levels, rather than the use of original data standalone. It was also noted that LGBM produced lower MAE, RMSE, and MSE values than RF, indicating better performance. For instance, at the SW173 station, LGBM outperformed RF in both decomposed and original data with MAE values of 0.511 and 1.566, compared to RF's MAE values of 0.719 and 1.644, respectively, in a 30-day lead time. The models' performance decreased with increasing lead time, as per the study findings. In summary, preprocessing original data and utilizing machine learning models with decomposed techniques have shown promising results for water level forecasting in higher lead times. It is expected that the approach of this study can assist water management authorities in taking precautionary measures based on forecasted water levels, which is crucial for sustainable water resource utilization.

• 대기
• /
• 제33권4호
• /
• pp.413-422
• /
• 2023

Urban Air Mobility (UAM) is promising, sustainable and efficient air transportation in a metropolitan area. Korean government has recently announced operation demonstration plans as a step toward commercialization of UAM. However, there is lack of understanding on the potential impact of weather on UAM operation. We collected weather observations from Gimpo International Airport and 5 automatic weather stations (AWS) along UAM corridor of the Han-River to assess weather barriers such as low visibility, wind gust and wind shear. The results show the frequency of low visibility near the corridor fluctuated significantly from year to year depending on the concentration of fine particulate matter (PM_2.5) in Seoul. The frequency of high wind speed-shift calculated using 1-minute wind observations was increased not only during the spring season (March, April, and May) but also the beginning of rainy season (Jun). In addition, a chance of high wind shear from 1-minute wind observations varied by the stations, suggesting that the condition is largely affected by topography including a river and high-rise buildings. These basic weather properties suggest that there are substantial weather barriers to UAM operations along the Han-River Corridor, while they cannot properly surveil micro-scale weather conditions in detail such as wind gust and wind shear over the corridor. Thus, this study suggests that potential barriers related to adverse weather need to be evaluated, building high-density weather observations infrastructure prior to UAM demonstration and commercialization.

• 한국IT서비스학회지
• /
• 제22권4호
• /
• pp.171-184
• /
• 2023

FinTech, which has brought innovation to the financial industry thanks to the advancements in ICT since 2010, has contributed to the growth of the financial ecosystem and increased consumer benefits. Furthermore, there has been a growing demand for social responsibility and sustainability in financial institutions, which have a significant impact on governments, businesses, and people's lives. Despite this, many FinTech companies and traditional financial institutions are still in the early stages of establishing ESG (Environmental, Social, and Governance) management philosophy or lack long-term plans. In this study, we aim to examine the impact of ESG management on the FinTech industry, focusing on representative domestic cases, and derive policy and institutional measures to spread it in the financial industry. Specifically, we will adopt MSCI rating indicators, which are internationally accepted by various industries such as manufacturing, healthcare, and transportation, to evaluate the 35 ESG management subcategories of FinTech companies. As a result, a total of 22 compliance items were disclosed in the ESG report, and it was possible to confirm the detailed management. Through this, we intend to propose effective management strategies for the organizational structure, operations, programs, and performance evaluation of FinTech companies, which are positioning themselves as sustainable growth drivers in the domestic industry.

• 한국건설순환자원학회논문집
• /
• 제11권4호
• /
• pp.316-323
• /
• 2023

지속가능한 폐기물 관리의 필요성으로 인해 철도에 사용되는 프리스트레스트 콘크리트 침목의 재활용에 관한 관심이 높아졌다. 이에 따라, 사용 수명이 다한 폐콘크리트 침목의 양이 증가한다는 점과 이것이 환경에 미치는 영향을 고려할 때, 폐콘크리트 침목의 효율적인 재활용 방법을 찾는 것은 매우 중요하다. 이 연구는 현재의 재활용 방법, 특히 기계적 처리 방법을 조사하고, 이들의 이점, 한계, 그리고 경제적 실현 가능성에 대해 파악하였다. 이를 참고하여 본 연구는 기계적 재활용 처리 방법의 한 예시를 수행하여 회수된 순환 골재의 특성과 이를 포함하여 제조한 알칼리 활성화 플라이애시 콘크리트의 특성을 분석하였다. 향후 본 연구 결과물을 콘크리트 침목으로 다시 적용할 목적으로 기초적으로 연구하였다.

• 무역학회지
• /
• 제46권2호
• /
• pp.193-212
• /
• 2021

This study investigates the structural relationship among 11 latent factors that potentially influence the intention of Chinese consumers to purchase electrical vehicles (EV) by applying the MGB and TAM models, both based on well-established socio-psychological theories. For this research, we conducted an online survey using a Chinese platform collecting 287 valid responses to our questionnaire. The analysis reveals that 10 out of the 12 hypotheses were adopted while 2 were rejected. Specifically, it was found that EC (environment concern) and PEV (perceived environment value) had a positive effect on the PEU (perceived environmental usefulness) of electric vehicles. In addition, ATT (attitude), PAE (positive anticipated emotion), and PBC (perceived behavior control) were confirmed to have a significant positive relationship with DES (desire) for EV purchase. At the same time, the results of the analysis show a statistically significant relationship between PEU, ATT as well as PI (purchase intention). This study further analyzed and presented the results of the moderating effects of gender, based on the adopted relationship hypotheses. This study is novel in that it is the first attempt in the literature to apply both the MGB model and the TAM simultaneously to predict EV purchasing behavior.

• 공업화학
• /
• 제34권5호
• /
• pp.472-478
• /
• 2023

글로벌화 추세에 따라 항공기를 이용한 승객 및 물류이동이 증가하고 있으며, 이로 인해 항공유 사용량 역시 매년 증가하고 있다. 항공기로부터 발생되는 온실가스인 CO₂는 전세계에서 발생되는 CO₂의 약 3.5%를 차지하고 있으며, 수송용 연료에서 발생하는 CO₂의 약 12%를 차지할 정도로 높은 비중을 차지하고 있다. 이에 따라서 많은 국가와 국제민간항공기구(ICAO) 등에서는 바이오항공유를 도입함으로써 CO₂ 저감을 위한 노력을 하고 있다. 본 논문에서는 항공유의 연료적 특성 및 품질기준과 함께 바이오항공유의 대표적 생산방법으로 ATJ, OTJ, GTJ, STJ에 대해 기술하였다. 또한 국내·외 바이오항공유에 대한 사용현황과 보급활성화에 대한 방안을 제시하였다.

• 정보처리학회 논문지
• /
• 제13권2호
• /
• pp.1-12
• /
• 2024

현대 도시는 다양한 도시 문제에 대응하기 위해 적극적으로 스마트시티 서비스를 도입하고 있다. 공간정보는 스마트시티의 기반 인프라로 작용하며, 도시의 지속 가능한 발전을 촉진한다. 공간정보의 표준화와 활용이 증가함에 따라 스마트시티의 효율적인 운영과 지속가능성이 향상되는데, 이를 위해서는 다양한 이해관계자들간의 협력을 통한 최적의 공간정보 기반 스마트시티 서비스 제공이 중요하다. 본 연구에서는 교통 및 건축-에너지 도메인 중심의 스마트시티 서비스를 공간정보 기술의 생애주기 기반으로 정의하고, 이를 공간정보 표준에 적용하고 활용하는 중요성을 강조한다. 또한, 공간정보 표준기반 스마트시티(SCGI, Smart City based on Geospatial Information standards) 프레임워크를 제안하여, 공간정보 표준에 매핑 가능한 스마트시티 서비스의 표준화에 관한 인사이트를 제시하였다. 본 연구는 공간정보 표준을 활용하여 커스터마이징된 솔루션을 제공함으로써 스마트시티 서비스의 표준화를 위한 새로운 패러다임을 제시하며, 스마트시티의 미래 발전 가능성을 논의한다.

• 한국포장학회지
• /
• 제29권3호
• /
• pp.223-228
• /
• 2023

Sustainable energy supplies without the recharging and replacement of the charge storage device have become increasingly important. Among various energy harvesters, the triboelectric nanogenerator (TENG) has attracted considerable attention due to its high instantaneous output power, broad selection of available materials, eco-friendly and inexpensive fabrication process, and various working modes customized for target applications. In this study, the amount of voltage and current generated was measured by applying the PSD profile random vibration test of the electronic vibration tester and ISTA 3A according to the time of Anodized Aluminum Oxide (AAO) pore widening of the manufactured TENG device Teflon and AAO. The discharge and charging tests of the integrated module during the random simulated transport environment and the recognition distance of RFID were measured while agricultural products (onion) were loaded into the returnable folding plastic box. As a result, it was found that AAO alumina etching processing time to maximize TENG performance was optimal at 31 min in terms of voltage and current generation, and the integrated module applied with the TENG module showed a charging effect even during the continuous use of RFID, so the voltage was kept constant without discharge. In addition, the RFID recognition distance of the integrated module was measured as a maximum of 1.4 m. Therefore, it was found that the surface condition of AAO, a TENG element, has a great influence on the power generation of the integrated module, and due to the characteristics of TENG, the power generation increases as the surface dries, so it is judged that the power generation can be increased if the surface drying treatment (ozone treatment, etc.) of AAO is applied in the future.

• Steel and Composite Structures
• /
• 제50권4호
• /
• pp.383-401
• /
• 2024

The research comprehensively studies the axial compression performance of T-shaped concrete-filled thin-walled steel tubular (CTST) long columns after fire exposure. Initially, a series of tests investigate the effects of heating time, load eccentricity, and stiffeners on the column's performance. Furthermore, Finite Element (FE) analysis is employed to establish temperature and mechanical field models for the T-shaped CTST long column with stiffeners after fire exposure, using carefully determined key parameters such as thermal parameters, constitutive relations, and contact models. In addition, a parametric analysis based on the numerical models is conducted to explore the effects of heating time, section diameter, material strength, and steel ratio on the axial compressive bearing capacity, bending bearing capacity under normal temperature, as well as residual bearing capacity after fire exposure. The results reveal that the maximum lateral deformation occurs near the middle of the span, with bending increasing as heating time and eccentricity rise. Despite a decrease in axial compressive load and bending capacity after fire exposure, the columns still exhibit desirable bearing capacity and deformability. Moreover, the obtained FE results align closely with experimental findings, validating the reliability of the developed numerical models. Additionally, this study proposes a simplified design method to calculate these mechanical property parameters, satisfying the ISO-834 standard. The relative errors between the proposed simplified formulas and FE models remain within 10%, indicating their capability to provide a theoretical reference for practical engineering applications.