• Title/Summary/Keyword: construction-phase

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An Experimental Study on the Collapse Phase of a River Leeves(II) -Effect of the Soil Properties and Compactness (하천제방 붕괴 양상의 실험적 연구(II) - 축조재료 및 다짐도의 영향)

  • Lee, Jong-Tae;Lee, Sang-Tae
    • Journal of Korea Water Resources Association
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    • v.34 no.2
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    • pp.155-167
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    • 2001
  • The effects of bank crest width, slope steepness, soil properties, and soil compactness on the characteristics of levee breach due to overlfow were investigated through a series of experiments. Generally, the major factors influencing the breach phenomenon are compactness, soil properties. crest width, and slope steepness, in that order. Using proper soil, and ensuring enough compactness in bank construction are very essential for extending breach duration and reducing peak overflow ranges for the values of breach duration, breach width, width-to-depth ratio, and side slope of the breach section, proposed by Singh, MacDonald and Fread based on the field data for earth dam breaks were reasonable. We found that those criteria could also be applied to the phenomenon of levee breaching.

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The Development of a Computer-Assisted HACCP Program for the Microbiological Quality Assurance in Hospital Foodservice Operations (병원급식의 미생물적 품질보증을 위한 HACCP 전산프로그램의 개발)

  • Kwak, Tong-Kyung;Ryu, Kyung;Choi, Seong-Kyung
    • Journal of the Korean Society of Food Culture
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    • v.11 no.1
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    • pp.107-121
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    • 1996
  • This study was carried out to develop the computer-assisted Hazard Analysis and Critical Control Point (HACCP) program for a systematic approach to the identification, assessment and control of hazards for foodservice manager to assure the microbiological quality of food in hospital foodservice operations. Sanitation practices were surveyed and analyzed in the dietetic department of 4 hospitals. Among them, one 762-bed general hospital was selected as standard model to develop computer-assisted HACCP program. All data base files and processing programs were created by using Foxpro package for easy access of HACCP concept. HACCP program was developed based on the methods suggested by NACMCF, IAMFES and Bryan. This program consisted of two parts: the pre-stage for HACCP study and the implementation stage of the HACCP system. 1. Pre-stage for HACCP study includes the selection of menu item, the development of the HACCP recipe, the construction of a product flow diagram, and printing the HACCP recipe and a product flow diagram. A menu item for HACCP study can be selected from the menu item lists classified by cooking methods. HACCP recipe includes ingredients, their amount and cooking procedure. A flow diagram is constructed based on the HACCP recipe. The HACCP recipe and a product flow diagram are printed out. 2. Implementation of HACCP study includes the identification of microbiological hazards, the determination of critical control points, the establishment of control methods of each hazard, and the complementation of data base file. Potentially hazardous ingredients are determined and microbiological hazards are identified in each phase of the product flow. Critical control points (CCPs) are identified by applying CCP decision trees for ingredients and each process stage. After hazards and CCPs are identified, criteria, monitoring system, corrective action plan, record-keeping system and verification methods are established. When the HACCP study is complemented, HACCP study result forms are printed out. HACCP data base file can be either added, corrected or deleted.

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A study on NCS based qualification plan development procedure of industrial safety field - Focused on the industrial safety, industrial health, nondestructive section- (산업안전 분야 NCS기반 자격설계 개발과정에 관한 연구 - 산업안전, 산업보건, 비파괴 분야를 중심으로 -)

  • Yi, Shin-jae;Yang, wook;Yoon, Young-Ju;Choi, Seo-Yeon
    • Journal of the Korea Safety Management & Science
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    • v.17 no.3
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    • pp.9-14
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    • 2015
  • The study is conducted in order to establish validity of industrial safety field's neo-qualification composition by suggesting reengineering procedure of NCS based industrial safety field's qualifying occupational plan. Industrial safety fields are first classified into great classification which are environment energy safety, and then into sub-classification which are industrial safety management, industrial health management, and nondestructive test. NCS based neo-qualification plan is deveopled into progress as following steps; First, planning NCS neo-qualification system. Second, presenting work education combined program certification standard. Third, developing NCS based neo-qualification assessment standard. Fourth, developing work education qualification prototype problem. The process of qualification plan was composed with Worksheet 14 and with 4phase being completing summary of each section, certification and development of assessment standard, and development of prototype problem. As a result, Industrial safety manager was redesigned into Industrial sfety manager and Construction Safety Manager, and Occupational Health Care Manager was redesigned into Occupational Health Care Manager and Industrial Health Manager. This study, in conclusion, suggests development of qualifying occupation that could be applied to the integrated management system and development of future industrial safety field's specialized neo-qualifying occupation.

Deficiency of Formyl Peptide Receptor 2 Retards Hair Regeneration by Modulating the Activation of Hair Follicle Stem Cells and Dermal Papilla Cells in Mice

  • Han, Jinsol;Lee, Chanbin;Jung, Youngmi
    • Development and Reproduction
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    • v.25 no.4
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    • pp.279-291
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    • 2021
  • Hair loss is one of the most common chronic diseases, with a detrimental effect on a patient's psychosocial life. Hair loss results from damage to the hair follicle (HF) and/or hair regeneration cycle. Various damaging factors, such as hereditary, inflammation, and aging, impair hair regeneration by inhibiting the activation of hair follicle stem cells (HFSCs) and dermal papilla cells (DPCs). Formyl peptide receptor 2 (FPR2) regulates the inflammatory response and the activity of various types of stem cells, and has recently been reported to have a protective effect on hair loss. Given that stem cell activity is the driving force for hair regeneration, we hypothesized that FPR2 influences hair regeneration by mediating HFSC activity. To prove this hypothesis, we investigated the role of FPR2 in hair regeneration using Fpr2 knockout (KO) mice. Fpr2 KO mice were found to have excessive hair loss and abnormal HF structures and skin layer construction compared to wild-type (WT) mice. The levels of Sonic hedgehog (Shh) and β-catenin, which promote HF regeneration, were significantly decreased, and the expression of bone morphogenetic protein (Bmp)2/4, an inhibitor of the anagen phase, was significantly increased in Fpr2 KO mice compared to WT mice. The proliferation of HFSCs and DPCs was significantly lower in Fpr2 KO mice than in WT mice. These findings demonstrate that FPR2 impacts signaling molecules that regulate HF regeneration, and is involved in the proliferation of HFSCs and DPCs, exerting a protective effect on hair loss.

On the Feasibility of Freak Waves Formation within the Harbor Due to the Presence of Infra-Gravity Waves of Bound Mode Underlying the Ever-Present Swells (Bound Mode의 외중력파에 의한 항내 이상파 생성가능성에 대하여)

  • Cho, Yong Jun;Bae, Jung Hyun
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.31 no.1
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    • pp.17-27
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    • 2019
  • We carry out the numerical simulation to test a hypothesis that freak waves can be triggered by the infragravity waves of bound mode underlying the ever-present swells and its constructive interaction with swells using the Tool Box called the ihFoam that has its roots on the OpenFoam, and Bi-spectrum. Numerical simulation is implemented for the SamChcuk LNG Plant where freak waves have been reported in front of the private wharf during its construction phase due to the uncompleted northern breakwater. Infra-gravity waves of bound mode is generated using the difference wave-wave interaction between the local wind waves of 7 s and a swell of 11.4 s based on the Bi-spectrum. For the sake of comparison, numerical simulation for infra-gravity waves of free mode is also carried out. Numerical results show that stem waves along the private wharf for SamChcuk LNG Plant can be triggered by the infra-gravity waves of bound mode coming from the north, which eventually leads to freak waves when encounters the reflected waves from the south jetty.

An EEG-based Deep Neural Network Classification Model for Recognizing Emotion of Users in Early Phase of Design (초기설계 단계 사용자의 감정 인식을 위한 뇌파기반 딥러닝 분류모델)

  • Chang, Sun-Woo;Dong, Won-Hyeok;Jun, Han-Jong
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.34 no.12
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    • pp.85-94
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    • 2018
  • The purpose of this paper was to propose a model that recognizes potential users' emotional response toward design by classifying Electroencephalography(EEG). Studies in neuroscience and psychology have made an effort to recognize subjects' emotional response by analyzing EEG data. And this approach has been adopted in design since it is critical to monitor users' subjective response in the preface of design. Moreover, the building design process cannot be reversed after construction, recognizing clients' affection toward design alternatives plays important role. An experiment was conducted to record subjects' EEG data while they view their most/least liked images of small-house designs selected by them among the eight given images. After the recording, a subjective questionnaire, PANAS, was distributed to the subjects in order to describe their own affection score in quantitative way. Google TensorFlow was used to build and train the model. Dataset for model training and testing consist of feature columns for recorded EEG data and labels for the questionnaire results. After training and testing, the measured accuracy of the model was 0.975 which was higher than the other machine learning based classification methods. The proposed model may suggest one quantitative way of evaluating design alternatives. In addition, this method may support designer while designing the facilities for people like disabled or children who are not able to express their own feelings toward alternatives.

Estimation of Optimal Training Period for the Deep-Learning LSTM Model to Forecast CMIP5-based Streamflow (CMIP5 기반 하천유량 예측을 위한 딥러닝 LSTM 모형의 최적 학습기간 산정)

  • Chun, Beom-Seok;Lee, Tae-Hwa;Kim, Sang-Woo;Lim, Kyoung-Jae;Jung, Young-Hun;Do, Jong-Won;Shin, Yong-Chul
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.1
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    • pp.39-50
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    • 2022
  • In this study, we suggested the optimal training period for predicting the streamflow using the LSTM (Long Short-Term Memory) model based on the deep learning and CMIP5 (The fifth phase of the Couple Model Intercomparison Project) future climate scenarios. To validate the model performance of LSTM, the Jinan-gun (Seongsan-ri) site was selected in this study. We comfirmed that the LSTM-based streamflow was highly comparable to the measurements during the calibration (2000 to 2002/2014 to 2015) and validation (2003 to 2005/2016 to 2017) periods. Additionally, we compared the LSTM-based streamflow to the SWAT-based output during the calibration (2000~2015) and validation (2016~2019) periods. The results supported that the LSTM model also performed well in simulating streamflow during the long-term period, although small uncertainties exist. Then the SWAT-based daily streamflow was forecasted using the CMIP5 climate scenario forcing data in 2011~2100. We tested and determined the optimal training period for the LSTM model by comparing the LSTM-/SWAT-based streamflow with various scenarios. Note that the SWAT-based streamflow values were assumed as the observation because of no measurements in future (2011~2100). Our results showed that the LSTM-based streamflow was similar to the SWAT-based streamflow when the training data over the 30 years were used. These findings indicated that training periods more than 30 years were required to obtain LSTM-based reliable streamflow forecasts using climate change scenarios.

A Study on the Establishment of Rule-Based Modules for Automating the Design of Interior Finishes in Architectural Buildings (건축 내부 마감 자동 상세화를 위한 규칙 기반 모듈 구축 방안에 관한 연구 - 바닥, 벽 및 천장을 중심으로 -)

  • Ha, Dae-Mok;Yu, Young-Su;Koo, Bon-Sang
    • Journal of KIBIM
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    • v.12 no.1
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    • pp.42-54
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    • 2022
  • BIM facilitates data transparency and consistency through three-dimensional parametric modeling and promotes the accurate managing and sharing of project information. In Korea, however, BIM-based detailed design of architectural interior finishes required during the Construction Documents phase increases the burden on architectural firms due to frequent design changes and manual workload. Therefore, the purpose of this study was to establish rule-based modules using parametric modeling that automates repetitive tasks that occur during the detailed design of interior finishing. Interviews with practitioners were conducted to analyze the major finishing elements. Of these floors, walls, and ceilings, which were the most rudimentary and common items, were selected as the subjects of the study. The modules developed in this study have two functions. One is to create new finish types, and the other is the automatic modeling of new types into rooms. For these functions, parameters that belonged to each finish and room element in a BIM model were analyzed and valid parameters directly used for parametric modeling were derived. Then, based on these parameters, rule-based modules for three elements, I.e., floors, walls, and ceilings were constructed with Revit Dynamo, and the effectiveness of the modules was verified with a pilot test. In conclusion, this study suggested a series of processes for automatic finishing to improve the efficiency of BIM-based architectural detailed design of finishes and to contribute in solving the chronic problems occuring during current design processes.

Application of Gaussian Mixture Model for the Analysis of the Nanoindentation Test Results of the Metakaolin-based Geopolymer with Different Silicon-to-Aluminum Molar Ratio (실리콘-알루미늄 몰 비의 변화에 따른 메타카올린 지오폴리머의 나노인덴테이션 결과 분석을 위한 가우시안 믹스쳐 모델의 활용)

  • Park, Sungwoo
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.35 no.2
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    • pp.101-107
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    • 2022
  • This study proposes the deconvolution method for the nanoindentation test results of geopolymer employing the Gaussian mixture model. Geopolymer has been studied extensively as an alternative construction material because it emits relatively lower CO2 compared to ordinary Portland cement. Geopolymer is made of aluminosilicate and alkaline solution, and the Si/Al molar ratio affects its mechanical properties. Previous studies revealed that the Si/Al molar ratio of 1.8~2.0 results in the highest compressive strength, and the Si/Al molar ratio over 1.8 degrades the compressive strength of geopolymer severely; however the reason for the compressive strength degradation is still unclear. To understand the effect of the Si/Al molar ratio on the geopolymer structure, this study exploits the nanoindentation. The phase deconvolution of the indent modulus data is successful using the Gaussian mixture model, and it is observed that the Si/Al molar ratio alters the homogeneity of the geopolymer. Geopolymer becomes more homogeneous up to an Si/Al molar ratio of 1.8 at which geopolymer exhibits the highest compressive strength. The examination of this study is assumed to be adopted as evidence of strength degradation by the Si/Al ratio higher than the optimum value.

A Study on the Urban Spatial Policy for the Industrial Cities in Abandoned Mining Area Through the Analysis of the Actual Condition of Urban Shrinkage - A Case Study on Shrinking Cities in Abandoned Mining area by the Coal Industry Rationalization Policy (폐광지역 산업도시의 도시축소양상과 도시공간정책방안에 관한 연구 -석탄산업합리화조치에 따른 폐광지역 축소도시에 대한 사례 연구)

  • Chi, Eun Hee;Han, Dong Gyu;Jeoung, Chan Gu;Kang, Jun Mo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.135-144
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    • 2022
  • This paper aimed to analyze the type of urban shrinkage over the past 20 years for four case cities designated as abandoned mining area promotion zones and present the direction of future urban spatial policies through the analysis of shrinking status. According to the analysis of urban shrinkage in the past 20 years, all of the case cities were analyzed as fixed-type shrinking cities, showing a population decrease of more than 30% over the past 40 years compared to the peak population. Despite the decrease in population, the designated area of urbanization and non-urban areas is increasing every year, and the development permit and construction permit in non-urban areas are also increasing, requiring efficient management and operation of urban space. It is necessary to study military-level cities in the high-risk phase of extinction in the future, and to develop various indicators for segmentation of urban shrinkage types and analysis of status by type.