• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 춘계학술대회논문집
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• pp.927-932
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• 2000

Recently, construction vibration has caused annoyance for a number of dwellers in nearby construction field and that induced from operating of large construction equipment, has become a very serious issue in our living environment. But, construction vibration standard of our living environment. But construction vibration standard of our country is efficient. Especially, directly blow method(diesel piling method, oil pressure method, etc) has caused much problems of highly impactive vibration. Construction works, in order to solve these problem, will be used SIP(Soilcement Injected Precast Pile) method of low vibration equipment. In this point, this study attempts to survey on the characteristics of piling vibration by SIP method for various earth conditions in construction field. And this study intends to get the basic data to establish a standard about construction vibration.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.91-92
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• 2022

The construction industry is highly dependent on human resources and changes the degree of completion of construction work depending on the level of performance of engineers. As women's social advancement has recently expanded, the construction industry is also experiencing a large influx. Therefore, it can be seen that not only male engineers' ability to carry out work but also female engineers' ability to carry out work is important. Therefore, this study investigated the actual work conditions and work performance capabilities of female engineers and presented them as basic data for the construction of work capability improvement measures.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2009년도 세계 도시지반공학 심포지엄
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• pp.27-50
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• 2009

This paper describes an adaptive management approach for predicting, monitoring, and controlling ground movements associated with excavations in urban areas. Successful use of monitoring data to update performance predictions of supported excavations depends equally on reasonable numerical simulations of performance, the type of monitoring data used as observations, and the optimization techniques used to minimize the difference between predictions and observed performance. This paper summarizes each of these factors and emphasizes their inter-dependence. Numerical considerations are described, including the initial stress and boundary conditions, the importance of reasonable representation of the construction process, and factors affecting the selection of the constitutive model. Monitoring data that can be used in conjunction with current numerical capabilities are discussed, including laser scanning and webcams for developing an accurate record of construction activities, and automated and remote instrumentations to measure movements. Self-updating numerical models that have been successfully used to compute anticipated ground movements, update predictions of field observations and to learn from field observations are summarized. Applications of these techniques from case studies are presented to illustrate the capabilities of this approach.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.323-324
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• 2021

This study is to develop a non-contact construction project management solution that can reduce cost and construction period through on-site information sharing, minimizing contact with others by COVID19, and improving the productivity of the construction industry. Decisions, checklists, and execution rates of construction costs can be checked with smart devices through sharing on-site photos and videos, exchanging opinions. Details and checklist data stored on cloud servers of sites that apply non-face-to-face construction project management solutions will be used as data for analyzing amounts and construction periods depending on the size of the construction. Real-time field information sharing will reduce expected problems and waste factors, expand communication channels with users to prevent or minimize construction disputes and claims, and contribute to the expansion and growth of new research industry markets in construction technology.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.329-333
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• 2008

최근 건설공사가 대형화 및 복잡화됨에 따라 건설현장에서의 진행관리 중요성은 점점 더 증대되고 있다. 현재 건설 프로젝트 현장에서는 데이터, 정보 기록 및 분석을 현장관리자가 직접 수작업으로 수행하고 있어 상당한 노력과 시간이 소비되고 있으며, 이는 생산성 저하 등 문제점을 있어 야기하고 있다. 이를 개선하기 위한 방안중의 하나로 첨단 DAT(Data Acquisition Technology) 기술 적용이 시도되고 있으며, 본 연구에서는 이러한 DAT의 포괄적 적용 가능성을 분석함으로써 효율적인 프로젝트 진행관리의 방안을 검토하고자 한다.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.443-452
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• 2020

Worker's awkward postures and unreasonable physical load can be corrected by monitoring construction activities, thereby increasing the safety and productivity of construction workers and projects. However, manual identification is time-consuming and contains high human variance. In this regard, an automated activity recognition system based on inertial measurement unit can help in rapidly and precisely collecting motion data. With the acceleration data, the machine learning algorithm will be used to train classifiers for automatically categorizing activities. However, input acceleration data are extracted either from designed experiments or simple construction work in previous studies. Thus, collected data series are discontinuous and activity categories are insufficient for real construction circumstances. This study aims to collect acceleration data during long-term continuous work in a construction project and validate the feasibility of activity recognition algorithm with the continuous motion data. The data collection covers two different workers performing formwork at the same site. An accelerator, as well as portable camera, is attached to the worker during the entire working session for simultaneously recording motion data and working activity. The supervised machine learning-based models are trained to classify activity in hierarchical levels, which reaches a 96.9% testing accuracy of recognizing rest and work and 85.6% testing accuracy of identifying stationary, traveling, and rebar installation actions.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2003년도 학술대회지
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• pp.290-293
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• 2003

건설산업의 조직운영은 생산성 및 원가절감에 중요한 요소이다. 그러나 현재 조직개선을 위한 노력이 부족할 뿐만 아니라 조직의 평가방법 또한 체계적으로 갖추고 있지 않다. 본 연구는 공동주택 및 오피스의 현장조직원 선정실태 분석을 통하여 현장조직인의 선임방법, 직급, 및 인원수 결정기준, 자격조건등을 종합하여 제시하였고, 현장 조직원의 선정절차를 제안하였다. 또한 현장관리조직원에 활동에 대한 평가실태 분석을 통하여 현장소장에 대한 평가항목 및 배점, 준공현장에 대한 평가항목 및 배점을 제안하였다. 따라서 본 연구의 결과는 건설공사의 현장관리조직원의 선정 및 평가에 대한 기준을 체계적으로 갖추지 못한 건설기입에 효율적인 조직운영을 위한 기초자료 제공함으로써 생산성향상 및 원가절감에 기여하고자 한다.

• 터널과지하공간
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• 제8권2호
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• pp.139-145
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• 1998

The reliable estimation of the system parameters and the accurate prediction of the system behavior are important to design underground structures safely and economically. Especially, the elastic modulus and the in-situ stresses are very important parameters in predicting the behavior of the underground structure. Therefore, the back analysis using the field measurement data is developed to determine accurately the elastic modulus and the in-situ stresses of the underground structural system in this study. A back analysis using the combined finite and boundary element is developed. It can consider the far field boundary condition and is efficient in computation. In this study, a back analysis is performed to predict behaviors of underground structures for the real construction site. The comparison between the results of the back analysis with field measurement data and the obtained material properties from the field test shows good agreement for the real construction site.

• 스마트미디어저널
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• 제9권2호
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• pp.99-109
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• 2020

본 논문은 전파 빅데이터 활용을 위한 플랫폼 구축 방안을 제시하는 것으로 전파 분야의 빅데이터를 수집 및 분석하고 연계방안을 수립하고, 전파 및 공공분야 빅데이터를 연계 및 활용하는 지원체계 방안을 제시하여, 전파 공공분야 연계 빅데이터 플랫폼 구축 방안을 제시하였다. 전파 분야 빅데이터의 체계적 분석과 활용을 위한 지원체계가 부족한 상황에서 전파 관련 산업체의 빅데이터 활용을 위한 플랫폼 구축방안을 마련함으로써 4차 산업혁명 구현을 위한 선제적 대응과 국내 전파 분야의 위상과 국가의 혁신성장 동력을 확보하고 전파산업의 공정경쟁과 서비스 품질 증진에 기여하여 전파 및 공공분야 빅데이터 플랫폼 이용자의 편의 증진에 기여하고자 한다. 또한, 전파관리 데이터 활용가치에 대한 사회적 인식 제고 및 플랫폼 공동 활용을 통한 전파 빅데이터 활용 협업 체계 마련에 기여하고자 한다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.253-254
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• 2021

In the field of construction, research on smart construction technology is being actively pursued as a measure to increase productivity and efficiency. The technology that links 3D scanning and BIM of smart construction technology is in the limelight as a technology for checking the state of buildings in the field of architecture. It is thought that these techniques will be of great help in solving problems when the amount of inspection targets is large, such as confirmation of the rebar arrangement intervals, and therefore a large number of human resources are required. Therefore, in this study, we would like to apply 3D scanning to rebar construction to confirm whether the rebar arrangement can be confirmed according to the design drawing. In the study, the wall rebar of the rebar placed at the actual construction site was directly scanned to extract data, and the rebar placing status was confirmed through type analysis. As a result of analyzing the reinforcing bar arrangement state based on the data obtained by 3D scanning, it was found that the technology can be utilized.