• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 가을학술발표대회논문집
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• pp.265-266
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• 2023

Recently, many disasters have occurred due to poor management of construction site. In addition, as legal regulations on safety management at construction sites are strengthened, its importance is being further emphasized. In relation to smart safety management technology, a study was introduced to build an analysis model through various safety-related data collected within construction companies. This model derives quantitative disaster risk about the site level through information related to past disasters and near misses. However, construction work is performed separately by work group of each partner company. There is a limitation in that individual workers cannot directly experience this analysis information. In this study, we propose a method to derive the safety disaster risk of individual work units from disaster risk of the site level. We expect that this study to be helpful for smart safety management technology of construction sites.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2002년도 춘계학술대회논문집
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• pp.11-24
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• 2002

GIS 사업의 특성상 데이터구축 부문은 전체 사업의 성패를 좌우할 만큼 중요한 부문임에도 불구하고 지금까지의 GIS 사업은 데이터구축 부문의 중요성을 간과하고 넘어간 사업이 많은 것이 사실이며 이를 계기로 사용자는 사업성과물인 전체 정보 시스템에 대한 신뢰성을 갖지 못하는 경우도 발생했다. 이런 계기로 GIS감리제도의 필요성에 대한 활발한 논의가 이루어지게 되었다. GIS감리에 대해서 아직은 명확히 정의된 것은 없지만 크게 전산기술 감리(구 정보시스템 관리)와 GIS Data구축감리의 두가지 큰 내용으로 나뉘어지는게 일반적이다. GIS Data구축감리의 목적은 데이터구축 활동의 합리적이고 전반적인 활동체계를 갖는 것과 사업목적에 맞는 올바르고 정확한 산출물 생성에 있다. 그리고, GIS Data구축감리의 목적을 이루기 위한 내용은 크게 데이터 구축 계획수립의 적정성, 데이터 구축 활동의 적정성, 데이터 품질관리 활동의 적정성, 데이터 구축부문에 관한 컨설팅, 데이터 검수의 5가지로 나눌수 있다. CIS Data구축감리의 내용 중 데이터 검수는 실제적으로 구축되는 단계별 산출물에 대해서 내재되는 오류를 찾아내는 단계로써 현장검수, 육안검수, 화면검수, 전산검수, 자동검수 5가지의 내용으로 이루어진다. 정보화 시스템에 사용되는 CIS 데이터는 자동검수 기능의 다양함과 정밀함에 따라 정보화 시스템의 성능이 결정된다고 해도 과언이 아니다. 본 논문은 Data CIS Data구축 감리에 대한 전반적인 내용에 대한 소개와 전산검수에 사용되는 효과적인 검수 프로그램을 제안한다.

• Smart Structures and Systems
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• 제15권4호
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• pp.1019-1039
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• 2015

Shanghai Tower is a composite structure building with a height of 632 m. In order to verify the structural properties and behaviors in construction and operation, a structural health monitoring project was conducted by Tongji University. The monitoring system includes sensor system, data acquisition system and a monitoring software system. Focusing on the health monitoring in construction, this paper introduced the monitoring parameters in construction, the data acquisition strategy and an integration structural health monitoring (SHM) software. The integration software - Structural Monitoring/ Analysis/ Evaluation System (SMAE) is designed based on integration and modular design idea, which includes on-line data acquisition, finite elements and dynamic property analysis functions. With the integration and modular design idea, this SHM system can realize the data exchange and results comparison from on-site monitoring and FEM effectively. The analysis of the monitoring data collected during the process of construction shows that the system works stably, realize data acquirement and analysis effectively, and also provides measured basis for understanding the structural state of the construction. Meanwhile, references are provided for the future automates construction monitoring and implementation of high-rise building structures.

• 한국음향학회지
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• 제15권2호
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• pp.61-71
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• 1996

본 논문에서는 음성합성을 위한 대화체(회화체) 음성의 triphone 단위 데이터베이스 구축에 대하여 보고한다. 특히 본 연구는 방송 매체를 이용하여 대화체 음성을 수집하고 3차에 걸친 대화체 표기(transcription)작업을 거쳐 triphone 단위의 분할 및 음성기호층 단계의 레이블링을 목표로 진행되었다. 수집된 총 10시간 방송분량중 6시간 분량을 데이터베이스 구축에 사용하였으며, 나머지 4시간은 예비 분으로 수집되었다. 낭독체 음성 데이터베이스 구축과는 여러 면에서 다른, 대화체 음성 데이터베이스 구축을 위한 음성 데이터 수집에서부터 triphone 단위 레이블링까지의 과정을 본 논문에서 기술하고, 보다 체계적이고 일관성있는 대화체 음성 데이터베이스 구축을 위해 필요한 계획 및 요구 사항에 대해서 논하고자 한다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 추계 학술논문 발표대회
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• pp.185-187
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• 2011

The purpose of this study is to develop and apply the oversea construction competitiveness evaluation model which measures the competitiveness of construction companies in global construction market. This model consists of the design and construction competitiveness indexes by ENR statistic data and provides the oversea construction competitiveness index based on the evaluation model.

• 한국건설관리학회논문집
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• 제11권2호
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• pp.15-24
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• 2010

건설 사업관리의 자료 수집 및 분석에 있어 아직도 많은 부분이 현장관리자의 수작업에 의존하고 있다. 이런 수작업에 의한 관리 방법의 대표적인 문제점으로서는, 자세한 현장자료의 획득이 어려울 뿐만 아니라, 가능하더라도 이를 위해서는 상당한 비용과 노력이 소요된다. 따라서 효율적인 사업관리를 위한 첨단 DAT(Data Acquisition Technology) 기술이 적용을 통한 자료수집 자동화가 시도되고 있으나, 대부분 기존 연구가 단일 공종이나 혹은 일부 주요 관리만을 대상으로 한 DAT 적용 연구로 이루어져 프로젝트 전체관점에서 분석한 종합적 연구는 전무한 상태이다. 따라서 본 연구는 DAT를 건설 사업관리와 관련하여 포괄적으로 분석함으로써 활용분야를 살펴보고 대체 활용 방향을 제안한다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1068-1074
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• 2009

The progress is widely used as a critical index for successful construction project management. In spite of the importance of progress measurement, the excessive management effort to collect and maintain detailed data has been highlighted as a major barrier to measurement of highly accurate progress. In order to reduce the required workload and to enhance accuracy, several researches have been conducted. These researches can be categorized into two groups. First group focuses on automated data collection utilizing advanced technologies only for limited construction tasks. The second group is a research area where the standard progress measurement methodologies encompassing entire construction tasks are investigated. Topics include the adjusting the level of details, standardizing work processes, and applying flexible WBS. However, the techniques for automated data collection are not fully investigated yet in the second group. Combining these two research areas can provide a solution for more effective progress management in terms of enhancing accuracy and optimizing workload. However, there has been no comprehensive research addressing these two research groups in an integrated manner. In this context, the purpose of this paper is to propose a methodology that identifies the most suitable measurement method and data acquisition technology (e.g., GPS, RFID, etc.) for entire construction tasks of a project. The proposed methodology in this paper will be able to facilitate the selection process of data acquisition technologies for entire construction tasks of a project and to support the overall enhancement of automated progress management.

• 한국측량학회지
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• 제39권5호
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• pp.343-349
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• 2021

In The process from design to construction in the existing construction work was less efficient due to the contradictory approach of identifying the 3D state in the plan view and the repeated generation of surveys, floor plans, drawings. Accurate 3D design data is essential for smart construction. However, most of the existing related studies have focused on explaining the development method and main functions of equipment or improving the productivity of smart construction. Therefore, in this study, the utility of 3D design model generation for smart construction and construction survey using 3D laser scanner was evaluated. Plane and vertical road alignment were created using the specifications of the road. The generated road alignment was created as a three-dimensional corridor design using cross-sections at intervals of 20m. In addition, it was possible to create a DTM (Digital Terrain Model) using a digital map and effectively create a 3D design model for the study area through overlapping. Construction survey using a 3D laser scanner showed accuracy within 10cm as a result of the accuracy evaluation. These results proved that construction surveying using a 3D laser scanner is possible because it satisfies the acceptable accuracy of the relevant regulations modeling of target areas using 3D design and construction survey using 3D laser scanner can be a way to address shortcomings of existing GNSS (Global Navigation Satellite System) methods. And accurate 3D data will be used as essential data as basic data for smart construction.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.893-903
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• 2022

Recently, computer vision (CV)-based safety monitoring (i.e., object detection) system has been widely researched in the construction industry. Sufficient and high-quality data collection is required to detect objects accurately. Such data collection is significant for detecting small objects or images from different camera angles. Although several previous studies proposed novel data augmentation and synthetic data generation approaches, it is still not thoroughly addressed (i.e., limited accuracy) in the dynamic construction work environment. In this study, we proposed a game engine-driven synthetic data generation model to enhance the accuracy of the CV-based object detection model, mainly targeting small objects. In the virtual 3D environment, we generated synthetic data to complement training images by altering the virtual camera angles. The main contribution of this paper is to confirm whether synthetic data generated in the game engine can improve the accuracy of the CV-based object detection model.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2000년도 춘계학술대회 논문집
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• pp.503-510
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• 2000

Recently, many kinds of research has been actively developing for a standardization and information related to the construction works. These works include the general field of design, construction, supervision, maintenance and management on facilities. The works of database construction for a standardization and information were chiefly propelled centering around the present conditions related to the design, construction work. The field related to maintenance and management on facilities lags behind in the works of database construction. The establishment of standard classification system(SCS) on facilities and inspection data is most important among the things related to maintenance and management to have a efficiently maintenance and management. This paper suggests SCS on facilities and inspection data according to that of facilities. On the basis of SCS of facilities and inspection data, code work with classification system and input work for a data of maintenance and management was practised. The purpose of this paper is to suggest a kind of statistics data and investigate a characteristics of inspection using statistic data on tunnel structures