• 한국문헌정보학회지
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• 제36권1호
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• pp.165-186
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• 2002

본 연구는 인터넷이라는 새로운 정보기술을 활용하여 장서관리에 대한 정보를 제공하고 있는 미국 대학도서관 웹사이트의 현황을 살펴보고 구성요소별 내용평가를 통해 웹사이트를 분석하고, 나아가 장서관리의 목적과 특성에 맞는 사이트를 체계적으로 운영할 수 있는 장서관리 웹사이트의 컨텐츠 구성을 목적으로 한다. 컨텐츠 구성은 <장서개발정책>, <직원주소록>, <통계>, <선정도구>, <구입 희망자료 신청>, <신간안내>의 6개 영역으로 구분된다. 웹사이트의 활용을 통해 장서관리 업무의 효율화를 이룸으로써 향후 장서관리 웹사이트를 구축하고자 하는 도서관에게 보다 합리적이고 체계적으로 나아갈 방향을 제시하고자 한다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.317-320
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• 2015

Documenting work-in-progress on construction sites using images captured with smartphones, point-and-shoot cameras, and Unmanned Aerial Vehicles (UAVs) has gained significant popularity among practitioners. The spatial and temporal density of these large-scale site image collections and the availability of 4D Building Information Models (BIM) provide a unique opportunity to develop BIM-driven visual analytics that can quickly and easily detect and visualize construction progress deviations. Building on these emerging sources of information this paper presents a pipeline for model-driven visual analytics of construction progress. It particularly focuses on the following key steps: 1) capturing, transferring, and storing images; 2) BIM-driven analytics to identify performance deviations, and 3) visualizations that enable root-cause assessments on performance deviations. The information requirements, and the challenges and opportunities for improvements in data collection, plan preparations, progress deviation analysis particularly under limited visibility, and transforming identified deviations into performance metrics to enable root-cause assessments are discussed using several real world case studies.

• 한국방재학회 논문집
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• 제8권1호
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• pp.103-108
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• 2008

Riverbed change is greatly influenced by artificial factors such as dam construction, gravel collection, and river improvement. This study simulated a long-term bed change based on the GSTARS3 model using actual data from the area downstream of the Geum River Daecheong Dam and compared the estimation with a section of the actual measurement. As a result, it was found that the section of the actual measurement was far lower than the result of the simulation in terms of long-term bed change. While the area downstream of Daecheong Dam displayed approximately an average of 2.29 m of streambed degradation on average while the upper stream area showed approximately 0.63 m of bed degradation over 24 years. In the simulation of the area downstream of Daecheong Dam based on the GSTARS3 model, similar bed degradation was observed. However, a great difference was detected between the result and the actual measurement. According to the cause analysis, the riverbed in the area downstream of Daecheong Dam has continuously degraded due to the dam construction and mass collection of gravel. The mass collection of gravel was the main cause of riverbed change. It was found that about 76% of all riverbed degradation was caused by the mass collection of gravel.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.772-775
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• 2008

사회기반시설물은 국가 발전의 원동력 중 하나이며, 대한민국은 1970년대 이후 집중적인 투자를 통해 오늘날의 성장을 이루어 낼 수 있었다. 국토해양부에 따르면 2004년을 기준으로 전국 도로, 철도, 공항, 항만, 상하수도, 수리치수 등 사회기반시설물의 가격 스톡은 총 515조 2,000억 원에 이른다(국토해양부 2007). 지금까지는 사회기반시설물의 건설에 집중하였으나, 이제는 건설과 아울러 이러한 규모의 사회기반시설물들의 정확한 가치평가를 기반으로 한 종합적 관리가 필요하다. 선진국에서는 이러한 사회기반시설물을 효율적 관리를 위해 자산관리 개념을 환용하고 있으며, 비용절감, 사용성 증대의 효과를 거두고 있으며, 국내의 경우도 자산관리 개념의 도입이 추진 중이다. 이러한 배경에서 본 논문에서는 보다 효율적인 사회기반시설의 자산관리 수행을 위해 자산관리의 초기 단계인 자산 데이터 수집(Data Collection) 단계에서의 기존 데이터 수집 방법의 문제점을 검토하고 IT 기술(RFID/USN, Radio Frequency IDentification/Ubiquitous Sensor Network)의 활용의 필요성과 도입 방안을 제시하고자 한다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1001-1008
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• 2022

As a part of the Smart Cities Mission, the Government of India in 2015 embarked upon the development of 100 existing cities as smart cities. In this study, the authors selected Ahmedabad city as the smart city development in India and presented project-level elements of the city based on the secondary data availability. At first, the authors focused on peer-reviewed articles, policy documents, and technical reports. Next, the authors collected the secondary data of project-level elements of the Ahmedabad city from the years 2015 to 2019. The findings show no significant improvement in the sewage system and waste collection as compared to the level of investment made in these sectors. The study showed that the water supply system outperformed revenue generation based on the government investment made in that sector. As a lesson learned, these findings indicate that significant improvement should be addressed in sewage management and waste collection. These study findings could help government officials, investors, developers, and city planners in making the appropriate decision before and during smart city execution. The lesson learned from this study could be used as a reference to improve revenue during the future smart city implication.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 추계 학술논문 발표대회
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• pp.141-142
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• 2012

Estimating the productivity of labor has relied on the experience and intuition of an estimator, or productivity data, such as standard in practical estimation. However, when new technologies and new construction methods employed in the construction industry, Dependence of a quantity surveyor's intuition is increased. This is because of the lack of a systematic methodology which models, estimates, and measures the labor productivity, Due to the historical productivity data is unavailable. Even thought project history data contains information that is important to predict the performance of a project, It can not provide valuable information to model, estimate, and measure the labor productivity. This is because 1) the absence of the productivity measurement system with consistency, 2) the difficulty of reusability of historical data collected. Therefor, this study suggests a methodology which build a productivity model by measuring the productivity of labor and collecting the historical data systematically. In addition, this methology is applied to develop a productivity model of shop-drawing and manufacturing process using descrete event simulation.

• 한국건설관리학회논문집
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• 제12권1호
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• pp.85-96
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• 2011

건설 물류 차량의 입/출입 관리는 송장(문서)을 중심으로 한 관리 방식에서 바코드와 결합된 송장 또는 차량 관리를 거쳐, RFID 기술을 이용한 관리에 이르기까지 정보 수집을 자동화하기 위한 방향으로 지속적으로 발전을 하고 있다. 하지만 기존의 관리 방식은 송장 또는 차량의 입/출입 정보 관리를 위한 정보 수집에만 초점을 맞추고 있을 뿐, 입/출고 시 관리자에 의해 이루어지는 차량 통제 등에 대한 부분을 간과함으로써 별도의 관리자가 필요한 한계를 가지고 있다. 따라서 본 연구는 물류 차량의 진출입 정보 수집 및 물리적 진출입 통제가 가능한 장비 및 시스템을 제안하고, prototype의 장비 개발 및 Lab test를 통해 제안된 장비의 타당성 검증을 실시하였다. 또한 본 연구를 통해 제시된 RFID 안테나와 태그의 선정 및 설치 방법은 입/출입 관리뿐만 아니라, 건설 현장에서 RFID 기술을 적용하는데 다양하게 응용될 수 있을 것으로 판단된다.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.300-300
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• 2012

A database is an organized collection of data, today typically in digital form. The data are typically organized to model relevant aspects of reality, in a way that supports processes requiring this information. A good database is designed for a specific use and is constructed with the possibility of growth. In this project, we collect music education data of the East Asia and try to build a database that can share the primary data based on this collection. Hence we can provide opportunity to study about Korea modern music and culture in a broader perspective. In this paper, we explore the database construction methodology for implementing on this project and we see over about data entry and management.

• Journal of Positioning, Navigation, and Timing
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• 제12권1호
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• pp.37-42
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• 2023

Wi-Fi Received Signal Strength Indicator (RSSI) is considered one of the most important sensor data types for indoor localization. However, collecting a RSSI fingerprint, which consists of pairs of a RSSI measurement set and a corresponding location, is costly and time-consuming. In this paper, we propose a Wi-Fi RSSI learning technique without true location data to overcome the limitations of static database construction. Instead of the true reference positions, inertial measurement unit (IMU) data are used to generate pseudo locations, which enable a trainer to move during data collection. This improves the efficiency of data collection dramatically. From an experiment it is seen that the proposed algorithm successfully learns the unsupervised Wi-Fi RSSI positioning model, resulting in 2 m accuracy when the cumulative distribution function (CDF) is 0.8.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2014년도 추계 학술논문 발표대회
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• pp.100-101
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• 2014

The generation of 3D models for freeform buildings is an important task while continuous monitoring of the related spatial information at different time phases. Realistic models of freeform building have to provide high geometric accuracy and detail at an effective data size.(Al-kheder, S. 2008) The efficiency of this image-based technique has been increased considerably by the development of digital technologies. Furthermore, 3D data collection based on laser scanning has become an high quality 3D models for construction site. Therefore, in this research, we have an effort to review construction methods to make freeform envelope of building using 3D scanning technology.