• Title/Summary/Keyword: building remains

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A Study on the Location of Buyeo Geumgangsaji (Temple Site) through GPR and GIS (GPR탐사와 GIS기법을 이용한 부여 금강사지 입지 연구)

  • Oh, Hyun-dok;Kim, Sung-tae;Woo, Sang-eun;Jo, Yong-il
    • Korean Journal of Heritage: History & Science
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    • v.47 no.4
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    • pp.120-135
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    • 2014
  • There is a necessity of re-research about Geumgangsaji temple site as reviewed recently confirmed typical temple arrangement of Baekje. The purposes of this study are, determine that building remains and layout patterns using Ground Penetrating Radar, and identify that the location and terrain changes of Geumgangsaji using aerial photographs and a numerical map by GIS. In the GPR result, it was confirmed that new building sites in the west and the north area which in Geumgangsaji is more wide. In addition, it was found that the temple is located on stable river terrace with low soil loss. And this site has spontaneous drainage system for the optimum position.

Low-flow simulation and forecasting for efficient water management: case-study of the Seolmacheon Catchment, Korea

  • Birhanu, Dereje;Kim, Hyeon Jun;Jang, Cheol Hee;ParkYu, Sanghyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.243-243
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    • 2015
  • Low-flow simulation and forecasting is one of the emerging issues in hydrology due to the increasing demand of water in dry periods. Even though low-flow simulation and forecasting remains a difficult issue for hydrologists better simulation and earlier prediction of low flows are crucial for efficient water management. The UN has never stated that South Korea is in a water shortage. However, a recent study by MOLIT indicates that Korea will probably lack water by 4.3 billion m3 in 2020 due to several factors, including land cover and climate change impacts. The two main situations that generate low-flow events are an extended dry period (summer low-flow) and an extended period of low temperature (winter low-flow). This situation demands the hydrologists to concentrate more on low-flow hydrology. Korea's annual average precipitation is about 127.6 billion m3 where runoff into rivers and losses accounts 57% and 43% respectively and from 57% runoff discharge to the ocean is accounts 31% and total water use is about 26%. So, saving 6% of the runoff will solve the water shortage problem mentioned above. The main objective of this study is to present the hydrological modelling approach for low-flow simulation and forecasting using a model that have a capacity to represent the real hydrological behavior of the catchment and to address the water management of summer as well as winter low-flow. Two lumped hydrological models (GR4J and CAT) will be applied to calibrate and simulate the streamflow. The models will be applied to Seolmacheon catchment using daily streamflow data at Jeonjeokbigyo station, and the Nash-Sutcliffe efficiencies will be calculated to check the model performance. The expected result will be summarized in a different ways so as to provide decision makers with the probabilistic forecasts and the associated risks of low flows. Finally, the results will be presented and the capacity of the models to provide useful information for efficient water management practice will be discussed.

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Research on Introduction of Toi-Maru in Mid-Joseon Period and Structural Adjustment of Frame Work in Roof Structure (조선 중기 툇마루의 도입과 상부가구의 구조적 대응)

  • Bae, Chang-Hyun;Jeon, BongHee
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.11
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    • pp.117-128
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    • 2019
  • The necessity of the Toi-Maru has increased greatly in order to enter to the building or to move conveniently in the building after the mid-Joseon period, when the combination of On-dol Ma-ru began to be universally used. According to this process, the 3-Dori type upper structure is thought to have undergone the typological changed by securing a more stable space of Toi-Maru In cases where a relatively large girder was used, it is often the case that the space is divided using a pillar to place a Toi-Maru on the front. However, it is difficult to find a case where the width of the Toi-Maru exceeds 1meter due to its structural limit. The type that made additional Toi-girder to overcome the spatial constraint of this structure and replaced the method of former typology after Mid-Jpseon period. In case of 5-Dori type, Toi-Maru installed in between high post and Toi post in early period. In these type, the width of Toi-Maru was subordinated by the location of milled Dori of roof structure and sometimes it became too excessive. 5-Dori type with Pyon-ju occurred to overcome these restriction between the width of Toi-Maru and the location of milled Dori of roof structure. Not a few remains of Mid-Jpseon period keeping the evidences of changing process of roof structure provoked by Toi-Maru installation. The consistent process of Toi-Maru installation and structural adjustment will be focused to consider the attempt to spatial requirement and architectural reaction in Mid-Joseon perid.

Study of Satellite Image Analysis Techniques to Investigate Construction Environment Analysis of Resource Development in the Arctic Circle - Alberta, Canada (북극권 자원개발 건설환경 조사를 위한 위성 영상 분석 기법 연구 - 캐나다 앨버타주 대상)

  • Kim, Sewon;Kim, YoungSeok
    • The Journal of Engineering Geology
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    • v.31 no.4
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    • pp.549-559
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    • 2021
  • The Arctic Circle's huge amounts of fossil fuels and mineral resources are being developed and subjected to active construction projects. Global efforts are continuing to actively respond to climate change, but the dependence on fossil fuels remains high. This study reports a preliminary survey conducted in Alberta, Canada, where oil sand resources are actively developed. A land cover map was prepared using satellite imagery to reduce the cost and time of surveying a wide area. Results likely useful to resource development projects such as ground surface temperature and snow cover distribution were derived by using the obtained image classification results. It is expected that the results of the present research and analysis will be used to establish strategies for the successful promotion and operation of projects to develop resources in the Arctic.

The Proposal of Asset Management Indicators for Public Rental Apartment (공공자산관리 기반의 공공임대주택 관리 지표 제안)

  • Roh, Seung-Chan;Lee, Ung-Kyun
    • Journal of the Korea Institute of Building Construction
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    • v.21 no.3
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    • pp.221-229
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    • 2021
  • Public rental apartment is increasing due to the needs and changes of the times, but there is a lack of advancement in terms of management. As asset management in domestic buildings still remains unchanged from the concept of repair after failure or breakdown, social cost reduction is needed through the introduction of the concept of asset management. Therefore, the purpose of this study is to present the management indicators for public rental housing asset management by identifying the concepts of domestic public rental housing asset management and the existing evaluation indicators through the consideration of domestic and foreign literature. To this end, this study identified the management factors presented overseas and analyzed the repair cases and history of domestic public rental housing to present sustainable management indicators suitable for domestic conditions. Through this, this study presented the basic direction for the management of rental housing as a public good in the future.

Deep learning-based post-disaster building inspection with channel-wise attention and semi-supervised learning

  • Wen Tang;Tarutal Ghosh Mondal;Rih-Teng Wu;Abhishek Subedi;Mohammad R. Jahanshahi
    • Smart Structures and Systems
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    • v.31 no.4
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    • pp.365-381
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    • 2023
  • The existing vision-based techniques for inspection and condition assessment of civil infrastructure are mostly manual and consequently time-consuming, expensive, subjective, and risky. As a viable alternative, researchers in the past resorted to deep learning-based autonomous damage detection algorithms for expedited post-disaster reconnaissance of structures. Although a number of automatic damage detection algorithms have been proposed, the scarcity of labeled training data remains a major concern. To address this issue, this study proposed a semi-supervised learning (SSL) framework based on consistency regularization and cross-supervision. Image data from post-earthquake reconnaissance, that contains cracks, spalling, and exposed rebars are used to evaluate the proposed solution. Experiments are carried out under different data partition protocols, and it is shown that the proposed SSL method can make use of unlabeled images to enhance the segmentation performance when limited amount of ground truth labels are provided. This study also proposes DeepLab-AASPP and modified versions of U-Net++ based on channel-wise attention mechanism to better segment the components and damage areas from images of reinforced concrete buildings. The channel-wise attention mechanism can effectively improve the performance of the network by dynamically scaling the feature maps so that the networks can focus on more informative feature maps in the concatenation layer. The proposed DeepLab-AASPP achieves the best performance on component segmentation and damage state segmentation tasks with mIoU scores of 0.9850 and 0.7032, respectively. For crack, spalling, and rebar segmentation tasks, modified U-Net++ obtains the best performance with Igou scores (excluding the background pixels) of 0.5449, 0.9375, and 0.5018, respectively. The proposed architectures win the second place in IC-SHM2021 competition in all five tasks of Project 2.

An In-depth Analysis of Enhancing the Core Blueprint of Architectural Constructs Leveraging Value Engineering(VE) Techniques (VE 기법을 활용한 건축 구조물 코어 형식 개선 방안에 관한 연구)

  • Lee, Jae-Taek;Kim, Gyu-Yong;Lee, Jae-Hyun;Nam, Jeong-Soo
    • Journal of the Korea Institute of Building Construction
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    • v.23 no.5
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    • pp.571-581
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    • 2023
  • The contemporary domestic construction landscape has witnessed a contraction, primarily attributed to the operational challenges faced by construction entities and a downtrend in the initiation of new projects. In light of this, domestic construction enterprises are ardently seeking avenues to economize whilst simultaneously amplifying the quality across diverse construction genres. Value engineering (VE), heralded for its prowess in not only cost mitigation but also in accelerating project timelines and bolstering construction quality, has been extensively adopted in refining finishing tasks. However, its application to framework enhancements remains conspicuously limited. Particularly in factory edification, framing emerges as a pivotal process exerting significant influence over the entire construction continuum. Thus, it becomes imperative to integrate VE techniques at the inception phase of framing. This would facilitate a meticulous examination of design schematics and on-site conditions, paving the way for alternative strategies that condense construction durations, economize on costs, and augment work efficiency, all the while upholding paramount standards of quality and safety. Such a venture stands to be foundational in expediting construction timelines, fostering economic efficiency, and buttressing construction safety protocols.

Development of Methodology for Automated Office Room Generation Based on Space Utilization (공간 사용률 기반 오피스 실 생성 자동화 방법론 개발)

  • Song, Yoan;Jang, Jae Young;Cha, Seung Hyun
    • Journal of KIBIM
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    • v.14 no.3
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    • pp.1-12
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    • 2024
  • Many efforts are being made to enhance user productivity and promote collaboration while ensuring the economic efficiency of office buildings. Analyzing space utilization, indicating how users utilize spaces, has been a crucial factor in these efforts. Appropriate space utilization enhances building maintenance and space layout design, reducing unnecessary energy waste and under-occupied spaces. Recognizing the importance of space utilization, there have been several studies to predict space utilization using information about users, activities, and spaces. These studies suggested an ontology of the information and implemented automated activity-space mapping as part of space utilization prediction. Despite the existing studies, there remains a gap in integrating space utilization prediction with automated space layout design. As a foundational study to bridge this gap, our study proposes a novel methodology that automatically generates office rooms based on space utilization optimization. This methodology consists of three modules: Activity-space mapping, Space utilization calculation, and Room generation. The first two modules use data on space types and user activity types as input to calculate and optimize space utilization through requirement-based activity-space mapping. After optimizing the space utilization value within an appropriate range, the number and area of each space type are determined. The Room generation module then automatically generates rooms with optimized areas and numbers. The practical application of the developed methodology is demonstrated, highlighting its effectiveness in fabricated case scenario. By automatically generating rooms with optimal space utilization, our methodology shows potential for expanding to automated generation of optimized space layout design based on space utilization.

Preparation of AgCl/Ag3PO4/Diatomite Composite by Microemulsion Method for Rapid Photo-Degradation of Rhodamine B with Stability under Visible Light

  • Zhu, Hai-Tao;Ren, Qi-Fang;Jin, Zhen;Ding, Yi;Liu, Xin-Yu;Ni, Xi-Hui;Han, Meng-Li;Ma, Shi-Yu;Ye, Qing;Oh, Won-Chun
    • Korean Journal of Materials Research
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    • v.30 no.8
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    • pp.383-392
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    • 2020
  • In this paper, AgCl/Ag3PO4/diatomite photocatalyst is successfully synthesized by microemulsion method and anion in situ substitution method. X-ray diffraction (XRD), photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), transmission electron microscopy (TEM), and ultraviolet-visible spectroscopy (UV-Vis) are used to study the structural and physicochemical characteristics of the AgCl/Ag3PO4/diatomite composite. Using rhodamine B (RhB) as a simulated pollutant, the photocatalytic activity and stability of the AgCl/Ag3PO4/diatomite composite under visible light are evaluated. In the AgCl/Ag3PO4/diatomite visible light system, RhB is nearly 100 % degraded within 15 minutes. And, after five cycles of operation, the photocatalytic activity of AgCl/Ag3PO4/diatomite remains at 95 % of the original level, much higher than that of pure Ag3PO4 (40 %). In addition, the mechanism of enhanced catalytic performance is discussed. The high photocatalytic performance of AgCl/Ag3PO4/diatomite composites can be attributed to the synergistic effect of Ag3PO4, diatomite and AgCl nanoparticles. Free radical trapping experiments are used to show that holes and oxygen are the main active species. This material can quickly react with dye molecules adsorbed on the surface of diatomite to degrade RhB dye to CO2 and H2O. Even more remarkably, AgCl/Ag3PO4/diatomite can maintain above 95 % photo-degradation activity after five cycles.

Optimal Capacity Determination of Hydrogen Fuel Cell Technology Based Trigeneration System And Prediction of Semi-closed Greenhouse Dynamic Energy Loads Using Building Energy Simulation (건물 에너지 시뮬레이션을 이용한 반밀폐형 온실의 동적 에너지 부하 예측 및 수소연료전지 3중 열병합 시스템 적정 용량 산정)

  • Seung-Hun Lee;Rack-Woo Kim;Chan-Min Kim;Hee-Woong Seok;Sungwook Yoon
    • Journal of Bio-Environment Control
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    • v.32 no.3
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    • pp.181-189
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    • 2023
  • Hydrogen has gained attention as an environmentally friendly energy source among various renewable options, however, its application in agriculture remains limited. This study aims to apply the hydrogen fuel cell triple heat-combining system, originally not designed for greenhouses, to greenhouses in order to save energy and reduce greenhouse gas emissions. This system can produce heating, cooling, and electricity from hydrogen while recovering waste heat. To implement a hydrogen fuel cell triple heat-combining system in a greenhouse, it is crucial to evaluate the greenhouse's heating and cooling load. Accurate analysis of these loads requires considering factors such as greenhouse configuration, existing heating and cooling systems, and specific crop types being cultivated. Consequently, this study aimed to estimate the cooling and heating load using building energy simulation (BES). This study collected and analyzed meteorological data from 2012 to 2021 for semi-enclosed greenhouses cultivating tomatoes in Jeonju City. The covering material and framework were modeled based on the greenhouse design, and crop energy and soil energy were taken into account. To verify the effectiveness of the building energy simulation, we conducted analyses with and without crops, as well as static and dynamic energy analyses. Furthermore, we calculated the average maximum heating capacity of 449,578 kJ·h-1 and the average cooling capacity of 431,187 kJ·h-1 from the monthly maximum cooling and heating load analyses.