• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.6
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• pp.1161-1175
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• 2018

An unexpected event could be easily followed by a large secondary accident due to the limitation in sight of drivers in road tunnels. Therefore, a series of automated incident detection systems have been under operation, which, however, appear in very low detection rates due to very low image qualities on CCTVs in tunnels. In order to overcome that limit, deep learning based tunnel incident detection system was developed, which already showed high detection rates in November of 2017. However, since the object detection process could deal with only still images, moving direction and speed of moving vehicles could not be identified. Furthermore it was hard to detect stopping and reverse the status of moving vehicles. Therefore, apart from the object detection, an object tracking method has been introduced and combined with the detection algorithm to track the moving vehicles. Also, stopping-reverse discrimination algorithm was proposed, thereby implementing into the combined incident detection processes. Each performance on detection of stopping, reverse driving and fire incident state were evaluated with showing 100% detection rate. But the detection for 'person' object appears relatively low success rate to 78.5%. Nevertheless, it is believed that the enlarged richness of image big-data could dramatically enhance the detection capacity of the automatic incident detection system.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.3
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• pp.95-105
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• 2019

In recent years, image processing techniques for detecting road surface damaged spot have been actively researched. Especially, it is mainly used to acquire images through a smart phone or a black box that can be mounted in a vehicle and recognize the road surface damaged region in the image using several algorithms. In addition, in conjunction with the GPS module, the exact damaged location can be obtained. The most important technology is image processing algorithm. Recently, algorithms based on artificial intelligence have been attracting attention as research topics. In this paper, we will also discuss artificial intelligence image processing algorithms. Among them, an object detection method based on an region-based convolution neural networks method is used. To improve the recognition performance of road surface damage objects, 600 road surface damaged images and 1500 general road driving images are added to the learning database. Also, supervised learning using background object recognition method is performed to reduce false alarm and missing rate in road surface damage detection. As a result, we introduce a new method that improves the recognition performance of the algorithm to 8.66% based on average value of mAP through the same test database.

• Journal of the Korea Institute of Building Construction
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• v.24 no.1
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• pp.145-156
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• 2024

In an era where construction projects are becoming increasingly large and complex, the Korean construction industry faces the challenge of implementing systematic and cohesive schedule management practices. This study initially delineates the concept of schedule management capabilities, systematically categorizing them into five distinct domains: law and regulations, requirements of project owners, capabilities of professionals and organizations, task capability, and the adoption of smart construction technologies for schedule management. Through a survey targeting industry professionals, this research assesses the perceived importance and the actual proficiency level in schedule management across these categories, employing an Importance Performance Analysis(IPA) to scrutinize these capabilities. The findings underscore the acknowledged significance of diverse aspects of schedule management, yet reveal discrepancies between the current proficiency levels and their perceived importance, pinpointing areas necessitating enhancement. Critical improvement needs identified encompass the planning of budgets for schedule management, development of regulations for assessing construction periods, deployment of specialized on-site staff for schedule management, and investment in advanced schedule management software solutions. Consequently, this study offers a nuanced analysis and strategic insights for enhancing schedule management practices, aiming to facilitate their effective implementation in the field.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.243-254
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• 2017

Recently, discussions about the guarantee of smart ecological environment have been started in S. Korea. These discussions are becoming more and more popular in the aspect of ubiquitous administrative spatial informatization in utilization using big data as a new paradigm due to the rapid change of information and communication technology, such as the start of smart society and the ubiquitous era. In addition, there is a growing interest in discussing environmental and disaster preservation in terms of ubiquitous smart city construction in smart society. In thisstudy, by applying 'scenario planning' as a foresight method, we have developed a desirable future vision for ubiquitous administrative spatial informatization in terms of preservation of disaster of Kori nuclear power plant like earthquake. In order to establish a high level of city disaster prevention level in S. Korea in 2030 when the big data and big data System will be further intensified in the future, it is necessary to develop advanced ICT city disaster prevention system with big data administrative spatial informatization in terms ofsmart ecological city construction.

• 한국IT서비스학회:학술대회논문집
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• 2010.05a
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• pp.115-118
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• 2010

유비쿼터스-도시(U-City)는 도로, 교량, 학교, 병원 등 도시기반시설에 첨단 정보통신기술을 융합하는 유비쿼터스 기반시설 구축을 통해 교통, 환경, 복지 등 각종 유비쿼터스 서비스를 언제 어디서나 제공하는 도시이다. 정부, 지자체, 공사에서 주도한 u-City건설을 지속적으로 발전하기 위해서는 수익성을 확보하는 모델이 필요하다. 현재 민간기관에서는 다양한 유형의 수익성 확보방안을 주장하고 있는데 최신연구자료로는 탄소배출권 및 스마트그리드를 통한 수익모델등이다. 본 연구 에서는 u-City사업에 u-Eco 서비스 특화를 통한 수익성 확보 방안을 제안한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.317-317
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• 2022

가뭄은 지역에 따라 다양한 특성을 가지기 때문에 가뭄의 진행 상황이나 심각한 상태를 정의할 수 있는 객관적인 지표가 필요한 실정이다. 이러한 이유로 가뭄 지수(drought index)를 정량적으로 산정하여 제시하였고 국내외에서 꾸준한 연구가 진행되고 있다. 본 연구는 의령군을 대상으로 가뭄지수를 산정하였고, 1973년부터 2017년까지의 강수자료 및 가뭄 관련 지역 특성을 통하여 가뭄 위험 지수(DRI)를 추정하였고, 또한 가뭄 취약성 지수(DVI)와 가뭄 위험요소 지수(DHI)를 통해 가뭄위험도를 1등급에서 4등급으로 분류하여 제시하였다. 본 가뭄지수는 강수특성 뿐만 아니라 의령군의 지역적 특성을 다양하게 고려하였다. 따라서, 의령군 상황에 맞게 소지역별로 가뭄의 취약성 및 위험요소를 동시에 추정하여 합리적인 가뭄의 위험성을 정량적으로 제시할 수 있을 것으로 판단된다.

• Water for future
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• v.56 no.9
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• pp.47-51
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• 2023

2023년 1학기(2023년 3월 2일~2023년 6월 20일) 동안 한국농어촌공사 농어촌연구원 국제융합수리시험센터(안산)에서 현장실습을 한것을 바탕으로 후기를 작성하였다. 현재 농어촌연구원은 농어촌 지역개발, 수자원의 효율적 이용과 관리, 농업 신기술 교육, 스마트팜 기술 보급, 친환경 농업, 남북협력 사업 등 농어업인의 환경 개선과 올바른 정책 방향성을 제시하기 위하여 다양한 분야의 연구를 수행하는 공공기관이다. 이번 현장실습을 경험한 국제융합수리시험센터는 1959년에 국내 최초로 수리모형실험을 시작하였으며, 2018년 대형 실험시설이 추가 증축되어 규모나 시설(장비) 측면에서 국내는 물론 세계 최상위 수준의 인프라를 보유하고 있다. 또한 댐, 하천, 해양, 신재생에너지 등과 관련하여 다수의 실험 실적 보유하고 있어 수 공학 분야의 국가경쟁력 강화에 견인하고 있다. 이번 현장실습은 수리실험 이론 교육, 실험장비 교육, 실험실습, 안전교육으로 구성되어 있다. 교육프로그램(HIGH Center ACE⁺)에 따른 학교에서 배운 전공 이론을 수리실험 분야에 어떻게 적용할 수 있는지 직접 실습하면서 배울 수 있었다. 4개월간 현장실습 교육프로그램에 참여하면서 수리실험 등 수공학 분야의 다양한 경험을 할 수 있었고, 이는 향후 전공과 관련된 직장을 준비하는 데 많은 도움이 될 것으로 생각된다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.4
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• pp.70-77
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• 2023

Fine dust is a cause of serious ecological problems, and fugitive dust generated from construction sites is a major source of fine dust in Korea. However, at construction sites, including concrete manufacturing industry sites, measurements are rarely made at the fugitive dust generation stage, and passive removal methods are the majority. Therefore, in this study, a fugitive dust measurement method suitable for managing fugitive dust generated during aggregate unloading in the concrete manufacturing industry sites was selected. In addition, the purpose was to analyze the amount of fugitive dust reduction according to the operation of the reduction system by applying the automatic fugitive dust reduction system to the aggregate unloading site. As a result, the reliability of the light scattering method was secured through the comparative measurement of the beta-ray absorption method and the light scattering method, and the light scattering method correction coefficient was calculated and applied to the measured value of the fugitive dust particle mass concentration at the concrete manufacturing industry sites. In addition, the fugitive dust reduction rate according to the operation of the automatic fugitive dust reduction system was derived.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.145-158
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• 2020

Dharavi, located in Mumbai, India, is the largest slum in the world, with over 700,000 people living in one area. The provincial government has selected a private business, and planning to promote Dharavi's redevelopment together. In addition, the Indian government announced three city development initiatives in 2015 and is promoting altogether the nationwide urban development in India, redevelopment projects in existing cities, and housing provision for slum residents. Through incorporating ongoing projects such as DMIC industrial corridor and smart city construction in India to the pharmaceutical industry that India has a comparative advantage over other industries, urban pharmaceutical research & production facility and residential complex is proposed in this paper, to be capable of supplying all occupants in the designated site, as a prototype for possible redevelopment directions.

• Journal of the Earthquake Engineering Society of Korea
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• v.10 no.6 s.52
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• pp.137-145
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• 2006

Recently, the interests in structural monitoring of civil infrastructures are increased. Especially, as the civil infrastructures such as bridges, tunnels and buildings become large-scale, it is necessary to monitor and maintain the safety state of the structures, which requires smart systems that can supply long-term monitoring during the service time of the structures. In this paper, we investigated the possibilities of fiber optic sensor application to the various structures. We investigate the possibility of using fiber optic Bragg grating sensors to joint structure. The sensors show good response to the structural behavior of the joint while electric gauges lack of sensitivity, durability and long term stability for continuous monitoring. We also apply fiber optic structural monitoring to the composite repaired concrete beam structure. Peel-out effects is detected with optical fiber Bragg grating sensors and the strain difference between main structure and repaired carbon sheets is observed when they separate each other. The real field test was performed to verify the behaviors of fiber Bragg grating sensors attached to the containment structure in Uljin nuclear power plant in Korea as a part of structural integrity test which demonstrates that the structural response of the non-prototype primary containment structures. The optical fiber Bragg grating sensor smart system which is the probable means for long term assessments can be applicable to monitoring of structural members in various civil infrastructures.