• 제목/요약/키워드: construction-phase

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

  • 곽동경;류경;최성경
    • 한국식생활문화학회지
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    • 제11권1호
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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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산업안전 분야 NCS기반 자격설계 개발과정에 관한 연구 - 산업안전, 산업보건, 비파괴 분야를 중심으로 - (A study on NCS based qualification plan development procedure of industrial safety field - Focused on the industrial safety, industrial health, nondestructive section-)

  • 이신재;양욱;윤영주;최서연
    • 대한안전경영과학회지
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    • 제17권3호
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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
    • 한국발생생물학회지:발생과생식
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    • 제25권4호
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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.

Bound Mode의 외중력파에 의한 항내 이상파 생성가능성에 대하여 (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)

  • 조용준;배정현
    • 한국해안·해양공학회논문집
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    • 제31권1호
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    • pp.17-27
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    • 2019
  • Bound mode의 외중력파와 이로 인한 보강간섭이 이상파 생성 기작이라는 가설을 확인하기 위해 OpenFoam 기반 Tool box인 ihFoam과 Bi-spectrum에 기초한 수치모의를 수행하였다. 수치모의는 건설 과정에서 이상파가 관측된 삼척 LNG 생산기지 전용부두를 대상으로 수행되었으며, Bound mode의 외중력파는 Bi-spectrum에 기반하여 출현빈도가 높은 주기가 7초인 국지 풍성파와 11.4초인 너울의 difference interaction으로 생성하였다. 또한 비교를 위해 비선형 Cnoidal wave, linear wave를 대상으로 한 수치모의도 병행하여 수행하였다. 모의결과 N 계열 bound mode의 외중력파에 의해 삼척 LNG 생산기지 전용부두를 따라 진행되는 연파가 생성되며, 이상파는 전술한 연파와 남측 도류제로부터의 반사파가 더해져 출현하는 것으로 모의되었다.

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

  • 장선우;동원혁;전한종
    • 대한건축학회논문집:계획계
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    • 제34권12호
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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.

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

  • 천범석;이태화;김상우;임경재;정영훈;도종원;신용철
    • 한국농공학회논문집
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    • 제64권1호
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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.

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

  • 하대목;유영수;구본상
    • 한국BIM학회 논문집
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    • 제12권1호
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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.

실리콘-알루미늄 몰 비의 변화에 따른 메타카올린 지오폴리머의 나노인덴테이션 결과 분석을 위한 가우시안 믹스쳐 모델의 활용 (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)

  • 박성우
    • 한국전산구조공학회논문집
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    • 제35권2호
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    • pp.101-107
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    • 2022
  • 본 논문에서는 지오폴리머의 상변화를 관찰하기 위하여 나노인덴테이션 데이터를 가우시안 믹스쳐 모델로 분석하는 방법을 제시하였다. 지오폴리머는 일반 시멘트 대비 CO2 발생량을 줄일 수 있어 시멘트 대체 재료로써 많은 연구가 이루어지고 있다. 기존 연구들로부터 최적의 실리콘/알루미늄 비율을 찾았으나 1.8 초과에서 압축강도 저하의 원인은 아직 불분명하다. 본 연구에서는 실리콘/알루미늄 비율이 재료에 미치는 영향을 조사하고자 나노인덴테이션 실험을 수행하였다. 실험 결과를 가우시안 믹스쳐 모델로 상분석하였고, 실리콘/알루미늄 비율이 증가할수록 재료가 균질거동을 하는 것을 관찰할 수 있었다. 본 연구결과는 강도저하를 규명하는데 직접적인 근거로 활용될 수 있을 것으로 기대된다.

폐광지역 산업도시의 도시축소양상과 도시공간정책방안에 관한 연구 -석탄산업합리화조치에 따른 폐광지역 축소도시에 대한 사례 연구 (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)

  • 지은희;한동규;정찬구;강준모
    • 대한토목학회논문집
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    • 제42권1호
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    • pp.135-144
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    • 2022
  • 이 논문은 폐광지역진흥지구가 지정된 4개의 사례도시를 대상으로 최근 20년간 도시축소 유형을 분석하고 도시축소 실태분석을 통해 향후 도시공간정책의 방향을 제시하고자 하였다. 최근 20년간의 1년 단위 도시축소유형 분석결과, 사례도시 모두 고착형 축소도시로 분석되었으며 최근 40년간 정점인구 대비 30 % 이상의 인구감소를 나타냈다. 공간구조적으로는 인구감소에도 불구하고 시가화면적과 비도시지역의 지구단위계획구역 지정면적은 매년 증가하고 있으며, 비도시지역의 개발행위허가 및 건축허가도 증가추세에 있어 도시공간의 효율적 관리와 운영이 필요하다. 향후 소멸 고위험단계에 있는 군급 도시에 대한 연구와 도시축소 유형의 세분화 및 유형별 실태분석을 위한 다양한 지표의 개발이 요구된다.

Assessment of Masks Used by Healthcare Workers: Development and Validation of a Mask Qualitative Assessment Tool (MQAT)

  • Gharibi, Vahid;Cousins, Rosanna;Mokarami, Hamidreza;Jahangiri, Mehdi;Keshavarz, Mohammad A.;Shirmohammadi-Bahadoran, Mohammad M.
    • Safety and Health at Work
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    • 제13권3호
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    • pp.364-371
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    • 2022
  • Background: Respiratory masks can provide healthcare workers with protection from biological hazards when they have good performance. There is a direct relationship between the visual specifications of a mask and its efficacy; thus, the aim of this study was to develop tools for qualitative assessment of the performance of masks used by healthcare workers. Methods: A mixed-methods design was used to develop a qualitative assessment tool for medical face masks (MFM) and particle filtering half masks (PFHM). The development of domains and items was undertaken using observation and interviews, the opinions of an expert panel, and a review of texts and international standards. The second phase evaluated the psychometric properties of tools. Finally, the validated Mask Qualitative Assessment Tools (MQAT) were used to assess six samples from 10 brands of the two types of masks. Results: MQAT-MFM and MQAT-PHFM shared 42 items across seven domains: "cleanliness," "design," "marking, labeling and packaging," "mask layers," "mask strap," "materials and construction," and "nose clip." MQAT-MFM included one additional item. MQAT-PHFM included another nine items associated with an eighth "Practical Performance" domain, and the valve version had another additional "Exhalation Valve" domain and six items. The evaluation indicated 80% compliance for MFM and 71% compliance for PFHM. "Marking, labeling and packaging" and "Layers" were associated with the least compliance in both types of masks and should be checked carefully for defining mask quality. Conclusion: MQAT can be used for immediate screening and initial assessment of MFM and PHFM through appearance, simple tools, and visual inspection.