• 한국건설순환자원학회지
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• 제14권1호
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• pp.61-64
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• 2019

• 한국건설순환자원학회지
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• 제16권4호
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• pp.50-56
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• 2021

• 한국건설순환자원학회지
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• 제18권4호
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• pp.87-93
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• 2023

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2001년도 학술대회지
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• pp.169-174
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• 2001

지난 10여년간 눈부시게 발전하고 있는 IT(Information Technology)기술과 소프트웨어에 의하여 건설산업도 적지 않은 영향을 받아왔다. 그 결과 건설의 주요한 연구분야로 건설정보화가 자리잡게 되었으며, 기술 또한 발전을 거듭하여 왔다 많은 세부분야로 나뉘어 연구가 이루어져왔고, 다양한 기법이 사용되어왔다. 이렇게 양적으로나 질적으로 급속히 팽창해져가는 시점에서 국내 건설정보화 연구에 대한 흐름을 짚어봄으로써 그동안 어떠한 연구가 어떤 방향으로 이루어왔는지 살펴보고, 앞으로 나아가야 할 방향에 대하여 제시하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3970-3990
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• 2021

In view of the problems of insufficient data collection and processing capability of multi-source heterogeneous equipment, and low visibility of equipment status at the ship block construction site. A data collection method for ship block construction equipment based on wireless sensor network (WSN) technology and a data processing method based on edge computing were proposed. Based on the Browser/Server (B/S) architecture and the OneNET platform, an online monitoring system for ship block construction equipment was designed and developed, which realized the visual online monitoring and management of the ship block construction equipment status. Not only that, the feasibility and reliability of the monitoring system were verified by using the intelligent tire frame system as the application object. The research of this project can lay the foundation for the ship block construction equipment management and the ship block intelligent construction, and ultimately improve the quality and efficiency of ship block construction.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.382-388
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• 2011

Being aware of the risk in advance necessitates intricate processes but is feasible. Although previous studies have demonstrated high accuracy, their performance still leaves room for improvement. A self-organizing feature map (SOM) based neurofuzzy model is developed in this study to provide another alternative for forecasting corporate financial distress. The model is designed to yield high prediction accuracy, as well as reference rules for evaluating corporate financial status. As a database, the study collects all financial reports from listed construction companies during the latest decade, resulting in over 1000 effective samples. The proportion of "failed" and "non-failed" companies is approximately 1:2. Each financial report is comprised of 25 ratios which are set as the input variable s. The proposed model integrates the concepts of pattern classification, fuzzy modeling and SOM-based optimization to predict corporate financial distress. The results exhibit a high accuracy rate at 85.1%. This model outperforms previous tools. A total of 97 rules are extracted from the proposed model which can be also used as reference for construction practitioners. Users may easily identify their corporate financial status by using these rules.

• 한국조경학회지
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• 제47권1호
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• pp.10-25
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• 2019

본 연구는 서울시의 문화재 수리공사의 발주현황에 관한 연구로써 각 지자체 및 산하 기관에서 발주되는 문화재 공사를 중심으로 하였으며, 연구의 범위로는 공간적으로는 서울시를 대상으로 하였고, 시간적 범위로는 2015년 10월부터 2017년 9월까지 2년으로 하였다. 그리고 서울시의 문화재 현황, 그리고 문화재 수리 예산을 알아봄으로써 문화재 공사의 발주규모를 파악할 수 있었다. 2년간의 문화재 공사의 발주 실태를 조사하여 총 발주 건수, 발주 시기 및 각 공종별 발주규모를 알 수 있었으며, 이러한 기초자료를 가지고 세부내역을 분석함으로써 각 문화재 공종별 혼입 실태를 파악할 수 있었다. 문화재 공사의 혼입 실태를 파악한 결과, 하나의 문화재 공사는 타 공종의 혼입 없이 완전히 시공하는데 어려움이 있음을 알게 되었고, 이에 대응할 수 있는 문화재공사 도급 방식을 제안하였다. 본 연구는 문화재공사 발주 성향을 분석함으로써 적절한 발주 방식을 제안하였고, 이것으로 현장에 적절한 문화재수리기술자 배치를 위한 기초자료로 활용할 수 있을 것이다. 특히 문화재 공사업에 있어서 조경은 문화재 경관을 책임지는 중요한 위치에 있으며, 이런 조경의 위상을 정립할 필요가 있음에도 불구하고, 문화재 공사업의 발주 실태와 조경공사의 위상을 밝힌 논문이 전혀 없으며, 이 논문은 그것에 대하여 서울시를 대상으로 실증적으로 밝혀, 조경공사의 오롯한 위상 정립을 위한 제안을 함과 동시에 각 문화재 수리분야의 업역 확보에도 크게 기여할 수 있을 것이다.

• 한국산업보건학회지
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• 제19권3호
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• pp.182-194
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• 2009

This study was conducted to evaluate health status and to propose health protection measures of irregular plant construction workers in Yoesu National Industrial Complex (YNIC). The status of safety and health management was examined in five areas including safety and health education, work environment monitoring, health examination, health management record, and personal protective equipment (PPE) for plant construction workers. The safety training rate for plant construction workers was reached high at 91%, The training was mostly consisted of safety accident related things, but training on hazardous materials was found to be insufficient. Workplace monitoring results showed that the compliance rate for work environment for irregular construction workers was 54% and workplace monitoring during turnaround (TA) period with high risk of exposure to hazardous agents has not been implemented. While 61.4% of irregular workers received the general health examination but only 36.8% received the special health examination. The special health examination was found to be conducted only upon welders from 2-3 years ago. The issue of health management record upon irregular construction workers was not being implemented. In case of PPE, basic safety protective equipments such as safety shoes, safety belt, safety helmet were being supplied well while the supply rate of respirator for organic vapor was relatively low at 40%. Based on this study, two suggestions to maximize the utilization of the current safety and health program were made while boosting its effectiveness in protecting workers' health. First, the role of owners (petrochemical plant) related to safety and health should be strengthened. Second, in consideration of the characteristics of construction workers who usually engage in short term employment and frequent movement, community based health management organization is suggested that can overcome such structural problem and carry out the implementation of health examination and sustained health management.

• Advances in Computational Design
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• 제5권4호
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• pp.445-465
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• 2020

This paper presents a study conducted with the aim of developing a model of tendering based on a technique of artificial intelligence by managing and controlling the factors of success or failure of construction projects through the evaluation of the process of invitation to tender. Aiming to solve this problem, analysis of the current environment based on SWOT (Strengths, Weaknesses, Opportunities, and Threats) is first carried out. Analysis was evaluated through a case study of the construction projects in Algeria, to bring about the internal and external factors which affect the process of invitation to tender related to the construction projects. This paper aims to develop a mean to identify threats-opportunities and strength-weaknesses related to the environment of various national construction projects, leading to the decision on whether to continue the project or not. Following a SWOT analysis, novel artificial intelligence models in forecasting the project status are proposed. The basic principal consists in interconnecting the different factors to model this phenomenon. An artificial neural network model is first proposed, followed by a model based on fuzzy logic. A third model resulting from the combination of the two previous ones is developed as a hybrid model. A simulation study is carried out to assess performance of the three models showing that the hybrid model is better suited in forecasting the construction project status than RNN (recurrent neural network) and FL (fuzzy logic) models.

• 대한간호학회지
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• 제42권4호
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• pp.568-578
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• 2012

Purpose: The purpose of this cross-sectional study was to examine current status of IT-based medication error prevention system construction and the relationships among system construction, medication error management climate and perception for system use. Methods: The participants were 124 patient safety chief managers working for 124 hospitals with over 300 beds in Korea. The characteristics of the participants, construction status and perception of systems (electric pharmacopoeia, electric drug dosage calculation system, computer-based patient safety reporting and bar-code system) and medication error management climate were measured in this study. The data were collected between June and August 2011. Descriptive statistics, partial Pearson correlation and MANCOVA were used for data analysis. Results: Electric pharmacopoeia were constructed in 67.7% of participating hospitals, computer-based patient safety reporting systems were constructed in 50.8%, electric drug dosage calculation systems were in use in 32.3%. Bar-code systems showed up the lowest construction rate at 16.1% of Korean hospitals. Higher rates of construction of IT-based medication error prevention systems resulted in greater safety and a more positive error management climate prevailed. Conclusion: The supportive strategies for improving perception for use of IT-based systems would add to system construction, and positive error management climate would be more easily promoted.