Microclimate vision: Multimodal prediction of climatic parameters using street-level and satellite imagery

In recent years, particularly following the definition of the UN Sustainable Development Goals (SDGs) for 2030, Nature-Based Solutions (NBS) have gained considerable attention, capturing the interest of both the scientific community and policymakers committed to addressing urban environmental issues. However, the need for studies to guide decision-makers in identifying suitable locations for NBS implementation within urban stormwater management is evident. To address this gap, the present study employs a methodological approach grounded in multi-criteria analysis integrated with Geographic Information Systems (GIS) to identify areas with potential for NBS implementation. In this process, ten NBS were proposed and tested in the drainage area of a shallow tropical urban lake in Londrina, southern Brazil. Additionally, the study investigates areas hosting lower-income populations, a relevant aspect for public managers given the diverse economic subsidies required to implement NBS. Furthermore, the study incorporates a preliminary analysis that evaluates the potential ecosystem benefits to determine the most suitable NBS for a specific site. The result shows that all the ten analyzed NBS were deemed suitable for the study area. Rain barrels had the highest percentage coverage in the study area (37.1%), followed by tree pits (27.9%), and rain gardens (25.4%). Despite having the highest distribution in the basin area, rain barrels exhibited only moderate ecosystem benefits, prompting the prioritization of other NBS with more significant ecological advantages in the final integrated map. In summary, the methodology proposed showed to be a robust approach to selecting optimal solutions in densely populated urban areas. 

Site selection for nature-based solutions for stormwater management in urban areas: An approach combining GIS and multi-criteria analysis.

Ion exchange resins (IEX) are used in drinking water utilities to remove natural organic matter (NOM) from surface water; however, the disposal of used brine can be a major drawback. Recently, biological ion exchange (BIEX) has been proposed as an alternative to biological activated carbon (BAC) for removing natural organic matter (NOM). The present study is, to the best of our knowledge, the first attempt to use a hybrid BIEX and BAC (BIEX+BAC) system for drinking water treatment. The removal of NOM, assimilable organic carbon, and trihalomethane formation potential was investigated by operating four columns comprising IEX, BIEX, BAC, and BIEX+BAC with 18,000 bed volumes. The BIEX+BAC system was the most effective at removing dissolved organic carbon (59.9%). Based on fluorescence excitation-emission matrix spectroscopy, the BIEX+BAC column showed the maximum removal rates in all peak regions of T1, T2, and A. Using liquid chromatography-organic carbon detection, resin-containing columns were found to effectively remove humic substances, which are the principal precursors of trihalomethanes. The lowest potential for trihalomethane formation was observed in BIEX+BAC. BIEX+BAC also had the highest assimilable organic carbon removal efficiency (61.2%) followed by BIEX (52.3%), BAC (49.5%), and IEX (47.1%). The BIEX+BAC hybrid was found to be the most effective method for removing NOM fractions and reducing the formation of disinfection byproducts. 

Integrating biological ion exchange with biological activated carbon treatment for drinking water: A novel approach for NOM removal, trihalomethane formation potential, and biological stability

Heating ventilation and air conditioning system accounts for over one third of building energy usage, especially for public buildings due to large indoor heat source and high ventilation and thermal comfort requirement compared to residential buildings. Natural ventilation shows high application potentials in public buildings because of its high-efficient ventilation effect and energy saving potential for indoor heat dissipation. In this paper, the building design is conducted for a science museum and library with atrium-centered natural ventilation consideration. The floor layout, building orientation and internal structure are optimized to make full use of natural ventilation for space cooling under local climatic conditions. A natural ventilation model is established through building field tests to evaluate the air flow and thermal environment under indoor and outdoor pressure differences. The preliminary results show that Building A's courtyard exhibited overheating issues, likely attributed to outdoor solar radiation, whereas Building B's courtyard experienced localized cooling, possibly due to indoor air conditioning system controls. Addressing these concerns necessitates modifications in courtyard design and structure. Moreover, both courtyards displayed vertical temperature gradients, emphasizing the need for effective management of outdoor heat influx and enhancements in indoor ventilation and shading strategies. To mitigate these issues, the study proposed three distinct roof design models and more refined indoor air conditioning system control strategies. The optimization of architectural design can achieve a maximum energy-saving rate of 46.54 %. Furthermore, aligning functional zones with thermal comfort areas was recommended to enhance overall building thermal comfort. The findings and proposed solutions from this study are anticipated to contribute to the enhancement of thermal comfort, energy efficiency, and vertical temperature distribution in large public buildings, catering to user requirements while reducing energy consumption. This research holds significant implications for advancing sustainability and environmental preservation in the realm of architecture. 

Indoor thermal nonuniformity of atrium-centered public building: Monitoring and diagnosis for energy saving

Integrating vertical greenery for complex building patterns towards sustainable urban environment

Landscape Design for Improved Thermal Environment: An Optimized Tree Arrangement Design for Climate-Responsive Outdoor Spaces in Residential Buildings Complexes

In this study, the use of an infiltration constructed wetland (ICW) as an eco-friendly water treatment technology for improving the quality of raw water and river water was evaluated using a full-scale test-bed built in the upper reaches of the old Seung-chon weir river channel. The average removal efficiency for the biochemical oxygen demand, suspended solids, and total phosphorus over three years was 86.8%, 96.6%, and 83.1%, respectively. However, the removal efficiency for total organic carbon and total nitrogen was relatively low, which is thought to be due to the characteristics of the influent. The general water quality constituents (BOD, SS, T-N and T-P) were not significantly different in winter when the water temperature was lower, indicating that stable water treatment over all four seasons was possible. In addition, biopolymers, humic substances, and building blocks of influent (Yeongsanriver) were able to be removed, illustrating that ICWs can be used as an effective eco-friendly water treatment technology to improve the quality of raw and river water. The removal efficiency for heavy metals, pesticides, and pharmaceuticals varied greatly, suggesting that further research is required to identify the main factors that affect there moval efficiency of ICWs. 

A Study on the Improvement of River and Source Water Quality Using an Infiltration Constructed Wetland as an Eco-Friendly Water Treatment Technology

This study is to review the capacity building of higher education institutions based on the case of the Department of Material Science and Engineering 10-10 Project at Seoul National University. The Department of Material Science and Engineering intend to reach the top ten level QS Ranking in the field of materials science. The MSE 10-10 Project provide opportunities for undergraduate and graduate students to participate in various lectures, global networking program and international experiences program. And it provide opportunities to network with fellow researchers with graduates of the Department of Material Science and Engineering. The 10-10 project provide opportunities research enviroment improvement, international exchange and networking opportunities for professors in the Department of Material Science and Engineering 
In this study, based on the literature reviews on capacity building, the key indicators necessary to strengthen the capabilities of higher education institutions. It was analyzed as research capabilities, internationalization capabilities, participation capabilities in academic communities.

Case study on capacity building of higher education institutions and improvement of competitiveness indicators: Based on MSE 10-10project at Seoul National University

사람, 자전거, 자동차 등 실시간으로 이동하는 객체의 움직임을 예측하는 것은 중요한 현대 기술 중 하나이다. 특히 이동체는 시계열성을 갖고 있기 때문에 이를 활용하여 이동체의 다음 움직임을 예측하는 기술은 광범위한 분야에서 활용되고 있다. 실시간으로 영상 데이터를 전송하는 드론과 CCTV의 영상 데이터로 차량의 다음 이동 궤적과 이동체 간 충돌을 예측하는 비전 기반 이동 궤적 예측 모델은 공간적 속성과 시간적 속성을 동시에 갖고 있기 때문에 이미지 딥러닝 기술의 발전과 함께 대두된 중요한 응용분야이다. 본 연구에서는 최근 많은 연구가 이루어지고 있는 비전 기반(vision-based) 예측 기법을 RNN, Feedforward, GAN, 어텐션 모듈(Attention module), 멀티모달(Multimodal) 카테고리로 나누어 각각의 딥러닝 방법론을 소개하고 이와 관련된 응용분야, 활용데이터 셋을 살펴 보았다. 본 연구에서 소개된 방법론과 적용 분야, 그리고 활용 가능한 데이터셋을 참고하여 국내 실정에 맞춘 연구를 한다면 향후 이동 궤적을 활용한 다양한 분야에 실질적인 도움이 될 것으로 예상된다. 

Research Trends Analysis of Vision-based Trajectory Prediction Using Deep Learning

transportation Oanh Tran Thi Kim, Jun Hyeong Lee, Ji Yeon Kim, Choong Seon Hong Department of Computer Engineering, Kyung Hee University {ttkoanh, wnsgud3014, nabillee, cshong}@khu.ac.kr Abstract Shortest path query is an important problem and has been well studied in static graphs. However, in practice, there are many factors that influence cost of edges such as weather, time of day, and vehicle type. Then, the costs of edges in graphs always change over time. Therefore, finding shortest path needs to be considered not only distance but also factors affecting road speed. In this paper, we addressed the problem of computing fastest paths underlying future transportation with traffic speed patterns to non-stop intersections. A system model is proposed to show how a finding path processing is performed in future transportation. By defining the path cost, we propose an efficient finding path algorithm to compute a costoptimal path.

http://networking.khu.ac.kr/layouts/net/publications/data/KIISE%202015/KIISE17.pdf

Finding shortest path to non-stop intersection for future transportation

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