• 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.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.27-29
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• 2009

Real-time control of on-site construction, based on high quality data, is essential to identify discrepancies between actual and planned performances. Additionally, real-time control enables timely corrective measures to be taken when needed to reduce the damages caused by the discrepancies. The focus of the presentation will be on our work, which uses automated data technologies to collect data needed for real time control.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 가을 학술발표회 논문집
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• pp.607-614
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• 2000

A cost-effective automated slope monitoring system is developed to monitor hazardous cut slopes along highways. This automated slope monitoring system consists of data-collection and visual monitoring, data-transmitting, database and internet service, and alarm system. Wire-line extensometer, automatic raingauge, and CCD camera are selected as monitoring instruments in this system, after consideration of failure characteristics of roadside cut slopes in the country. This paper describes the important features of this newly developed automated slope monitoring system.

• 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.17-22
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• 2011

A considerable number of construction disasters occur on pathways. Safety management is usually performed on construction sites to prevent accidents in activity areas. This means that the safety management level of hazards on pathways is relatively minimized. Many researchers have noted that hazard identification is fundamental to safety management. Thus, algorithms for helping safety managers to identify hazardous areas are developed using automated data collection technology. These algorithms primarily search for potential hazardous areas by comparing workers' location logs based on a real-time location system and optimal routes based on BIM. Potential hazardous areas are filtered by identified hazardous areas and activity areas. After that, safety managers are provided with information about potential hazardous areas and can establish proper safety countermeasures. This can help to improve safety on construction sites.

• 한국건설관리학회논문집
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• 제11권6호
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• pp.14-23
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• 2010

건설 산업의 재해 중 상당 부분은 작업자의 이동 중 발생한다. 건설 현장의 안전관리는 작업을 중심으로 수행되며, 이는 이동 경로에 존재하는 위험원에 대한 안전관리 수준을 상대적으로 낮게 만든다. 많은 연구자들이 위험원을 인지하는 것이 안전관리의 기본임을 제시하였다. 따라서 본 연구에서는 자동화 데이터 수집기술(Automated Data Collection)을 이용하여 작업자의 이동경로에 존재하는 위험원에 대한 안전관리자의 인지를 지원하는 모델을 개발하였다. 모델은 실시간 위치추적기술 기반의 작업자의 위치정보와 BIM을 통한 최적이동 동선의 비교를 통해 일차적으로 위험 가능 지역을 찾는다. 그리고 기존 위험지역과 작업지역을 필터링함으로써 위험 가능 지역을 폭을 좁힌다. 이를 바탕으로 안전 관리자는 위험원이 존재할 가능성이 높은 지역에 대한 정보를 제공받고, 현장의 상황에 맞는 안전관리대책을 수립할 수 있을 것이다. 본 연구에서 제시된 모델을 통해 발견하지 못한 채 남을 수 있는 위험지역을 인지함으로써 안전관리 프로세스 범위에 속하지 않는 위험원을 줄일 수 있으며, 이를 통해 건설 현장의 안전 향상에 도움을 줄 것이라 예상된다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1324-1327
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• 2009

Social infrastructure is the basis of public welfare and should be recognized and managed as important assets. Bridge is one of the most important infrastructures to be managed systematically because the impact of the failure is critical. It is essential to monitor the performance of bridges in order to manage them as an asset. But current analytical methods such as predictive modeling and structural analysis are very complicated and difficult to use in practice. To apply these methods, structural and material condition data collection should be performed in each element of bridge. But it is difficult to collect these detailed data in large numbers and various kinds of bridges. Therefore, it is necessary to collect data of major measurement items and predict the life of bridges roughly with advanced information technologies. When certain measurement items reach predefined limits in the monitoring bridges, precise performance measurement will be done by detailed site measurement. This paper describes the selection of major measurement items that can represent the tendency of bridge life and introduces automated bridge data collection test-bed using wireless sensor network technology. The following will be major parts of this paper: 1) Examining the features of conventional bridge management system and data collection method 2) Mileage concept as a bridge life indicator and measuring method of the indicator 3) Test-bed of automated and real-time based bridge life indicator monitoring system using wireless sensor network

• 한국측량학회지
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• 제32권3호
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• pp.205-216
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• 2014

Multi-camera systems have been widely used as cost-effective tools for the collection of geospatial data for various applications. In order to fully achieve the potential accuracy of these systems for object space reconstruction, careful system calibration should be carried out prior to data collection. Since the structural integrity of the involved cameras' components and system mounting parameters cannot be guaranteed over time, multi-camera system should be frequently calibrated to confirm the stability of the estimated parameters. Therefore, automated techniques are needed to facilitate and speed up the system calibration procedure. The automation of the multi-camera system calibration approach, which was proposed in the first part of this paper, is contingent on the automated detection, localization, and identification of the object space signalized targets in the images. In this paper, the automation of the proposed camera calibration procedure through automatic target extraction and labelling approaches will be presented. The introduced automated system calibration procedure is then implemented for a newly-developed multi-camera system while considering the optimum configuration for the data collection. Experimental results from the implemented system calibration procedure are finally presented to verify the feasibility the proposed automated procedure. Qualitative and quantitative evaluation of the estimated system calibration parameters from two-calibration sessions is also presented to confirm the stability of the cameras' interior orientation and system mounting parameters.

• 한국유체기계학회 논문집
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• 제17권4호
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• pp.40-46
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• 2014

This paper describes blower performance characteristics of a automated vacuum waste collection system. Blowers serially connected to six or seven centrifugal blowers are evaluated by experimental measurements to understand blower performances according to blower numbers operated. Two different blowers and duct diameters connected to the main blowers are considered. Data acquisition system is introduced to measure pressure and pressure difference at the main duct simultaneously, which is connected to several blowers serially. A auxiliary blower, which is installed between a filter room and an air deodorizing apparatus, is also added to simulate its performance effect on the main blower. Throughout the experimental measurements of the blower system, it is found that pressure and inlet velocity at the upstream of a blower increase 3.7 and 2.4 times separately by increasing the operating blower numbers from one to seven. It is noted that blower efficiency and pressure measured at the system vary according to the distance between a air intake and a blower system. Auxiliary blower is effective to increase blower inlet suction pressure, while total energy consumption is increased relatively.

• 정보보호학회논문지
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• 제9권3호
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• pp.13-26
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• 1999

인터넷의 급속한 발전과 함께 정보 시스템의 보안 위협인 침입 사고도 급증하고 있다. 보다 강 화된 보안 메커니즘이 요구되고 있다. 시스템 로그 분석은 이런 침입 사실을 탐지하고 침입 자를 추적하 기 위해 필수적인 과정이나 로그 자료의 종류와 형태의 다양함으로 인해 자동화된 로그 수 집 및 분석이 현실적으로 어려운 상태이다. 우리는 침입 추적에 필요한 로그 자료의 형태를 정의하고 방 대한 로그 자 료로부터 효율적으로 로그수집, 분석할수 있는 도구를 설계 및 구현하였다. 이 논문에서는 개발된 도구 를 사용하여 실제 침입 추적을 한 경험을 소개하고 도구의 향후 개선 방향을 제시한다 Widespread use of Internet despite numerous positive aspects resulted in increased number of system intrusions and the need for enhanced security mechanisms is urgent. Systematic collection and analysis of log data are essential in intrusion investigation. Unfortunately existing logs are stored in diverse and incompatible format thus making an automated intrusion investigation practically impossible. We examined the types of log data essential in intrusion investigation and implemented a tool to enable systematic collection and efficient analysis of voluminous log data. Our tool based on RBDMS and SQL provides graphical and user-friendly interface. We describe our experience of using the tool in actual intrusion investigation and explain how our tool can be further enhanced.

• 대한원격탐사학회지
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• 제37권3호
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• pp.463-473
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• 2021

본 연구에서는 최근 USGS에서 공개한 Landsat 8 Collection 2 Level 2 Science Product (L2SP) 위성 영상을 이용하여 국내 지표면 온도를 산출하였고, 기존 Landsat 8 Collection 1 Level 1 Terrain Precision (L1TP) 위성 영상을 활용하여 산출한 국내 지표면 온도와의 비교와 기상청 종관기상관측자료(Automated Synoptic Observing System, ASOS)와의 검증을 통해 L2SP 기반 지표면 온도 자료의 국내 영역에 대한 적합성을 평가하고자 하였다. L2SP는 연구 및 분석에 용이하도록 Landsat 8 Collection 2 Level 1 데이터를 기반으로 만든 Level 2 자료로, 기존의 계산식을 통해 산출해야 하는 지표면 반사도 자료와 지표면 온도 자료를 계산 처리 없이 바로 사용할 수 있다는 장점이 있다. 2018년부터 2020년까지 3년간의 Landsat 8 지표면 온도 산출물과 관측소 지점 8개소 주변 3×3 격자 영역과의 비교한 결과, 8개 관측소 기준 L2SP 지표면 온도와 L1TP 지표면 온도의 평균 피어슨 상관계수(Pearson correlation coefficient)는 각각 0.971, 0.964로 두 자료 모두 상당히 강한 양의 상관관계를 보여주었으며, RMSE (Root Mean Square Error)의 경우 각각 4.029℃, 5.247℃로 L2SP 지표면 온도 자료가 더 낮은 RMSE를 보여주는 것을 확인 하였다. 이는 관측소 위치별로 값에 차이가 생길 수 있지만 평균적인 지표 결과를 보았을 때, L2SP 지표면 온도 자료가 L1TP를 통해 산출되는 지표면 온도 자료와 비교했을 때 준수하거나 그 이상의 정확도를 보여주어 국내 지표면 온도 산출 연구에 적합하다고 판단된다. 따라서 향후 계절적 요인과 고도에 따른 온도 차이 등의 환경 및 지형적인 요인도 고려를 하거나, 본 연구 과정에서 발생한 Science Product의 고정적인 영상 품질 문제 등이 개선된다면 보다 더 안정적이고 정확도 높은 지표면 온도 참조 자료로써의 유용성이 클 것이라 판단된다.