• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.287-291
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• 2015

본 연구에서는 두 지역의 실제 상수관망에 대해서 부정류해석을 수행하였고 각각의 상수관망에 필요한 부정류피해 최소화방안을 제시하였다. 첫 번째 대상지역은 베트남 호치민으로 148개 절점과 162개의 파이프로 이루어진 소블럭 상수관망이며 두 번째 대상지역은 파주시 광탄면으로 512개 절점과 527개의 파이프로 이루어진 세 개의 소블럭 상수관망이다. 두지역의 상수관망은 지형적면이나 규모면에서 다른 모습을 하고 있기 때문에 부정류해석 시 발생가능한 피해유형이 틀린 것으로 나타났다. 호치민의 경우 배수지의 높이가 낮고 도시 내 표고차가 없어서 관망 내 평균수압이 $1kg/cm^2$을 약간 상회하는 수준으로 수압이 낮고 수압차 역시 작다. 따라서 상수관망에서 일어날 수 있는 소요수량의 변화나 소화전 사용과 같은 작은 변화에도 역류발생이 빈번히 일어나는 것으로 나타났으며 역류발생이 잦은 파이프를 선정할 수 있었다. 상당히 많은 파이프에서 단기간 역류가 발생하는 것을 확인할 수 있었다. 짧은 기간에 발생하는 변화에 대한 단기간 역류는 교차연결(Cross-Connection)의 문제를 야기할 수 있다. 따라서 역류발생이 빈번히 일어나는 파이프 주위에 check valve나 역지밸브등의 설치를 통해 역류로 인한 피해를 최소화할 수 있다. 파주시 광탄면 지역의 소블럭 집합으로써 고저차가 많은 지역이다. 배수지 밸브개폐 시 발생 가능한 수충격에 대한 시뮬레이션과 펌프장정지로 인해 발생할 수 있는 수충격에 발생 시뮬레이션을 수행하였고 관망내에서 자주 발생하는 밸브개폐로 인한 시뮬레이션을 수행하였다. 그 결과 광탄의 경우 수충격 발생위험 지점은 배수지 근처로 나타났고 수격압이 최대 $2.5kg/cm^2$에서 $3.0kg/cm^2$까지 발생 가능한 것으로 나타났고 밸브개폐시간이 1-2초 지연되어도 상당히 큰 수격압을 줄일 수 있는 것으로 나타났다. 수충격압이 크게 발생할 수 있는 지역에 수충격피해 최소화를 위해 surge tank와 같은 장치를 설치해야 한다. 또한 발생가능한 수격압의 크기를 통계적기법을 통해 확률밀도함수로 나타낼 수 있었다. 이 결과는 앞으로 상수관망의 설계나 운영에서 수충격피해 방지 장치 및 설비를 시공할 때 장치의 규모나 용량을 결정할 때 유용한 정보가 될 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.426-426
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• 2018

제 4차 산업혁명의 시대를 맞아 ICT 융합 차세대 물관리 시스템 관련 기술이 핵심적인 역할을 수행하게 될 것으로 예상되며, 이와 함께 다국적 기업의 시장 진출로 인한 경쟁심화가 예상되고 있다. 한편, 인구증가, 도시성장, 산업발전 및 기후변화에 따른 물부족, 물 수요와 물 공급의 불균형, 수질오염 등은 점점 더 심각해질 것으로 예상되고 있다. 또한, 수자원 산업에서 대상시설의 안전하고 경제적인 운영 및 유지관리를 목적으로 하는 운전, 감시, 진단, 보수, 개선 및 이를 위한 의사결정지원 기술인 운영관리(O&M, Operation and Maintenance) 기술의 중요성이 지속적으로 증가하는 추세이다. 스마트워터그리드(SWG)는 ICT 융복합 첨단 수자원 관리기술로 기후변화에 의한 물 부족과 수자원 인프라 노후화로 인한 효율저하 등 물 문제 해결을 위한 차세대 플랫폼으로 주목받고 있으나, 아직까지 스마트워터그리드 시스템 구축을 위한 장치, 부품, 공정, 설계, 시공 기술 등 주로 요소기술 확보를 목적으로 연구되었으며, 시설의 운영 및 유지관리 연구는 거의 진행되지 않아 효율적인 현장적용이 어려운 실정이다. 본 연구에서는 스마트워터그리드 데모플랜트 시설을 대상으로 운영 유지관리 기술의 고도화 기본방향, 세부 핵심기술, 추진방법 등을 제시하고자 한다. 특히 스마트워터그리드의 핵심기술인 AMI 기반 수운영 시스템을 대상으로 IoT 기반의 고효율 저비용 물 공급 체계 고도화 및 지능형 통합 운영 플랫폼 구축, Hybrid형 다중수원 활용 이동식 물 생산 시스템에 대한 운전제어 자가진단 운영관리 유지보수기술 등 원격 무인 자동화 물 생산시설 기술 고도화 개발방안에 대하여 중점적으로 다루고자 한다.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.6
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• pp.7-14
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• 2019

The automatic monitoring and detection of crowd behavior in the surveillance videos has obtained significant attention in the field of computer vision due to its vast applications such as security, safety and protection of assets etc. Also, the field of crowd analysis is growing upwards in the research community. For this purpose, it is very necessary to detect and analyze the crowd behavior. In this paper, we proposed a deep learning-based method which detects abnormal activities in surveillance cameras installed in a smart city. A fine-tuned VGG-16 model is trained on publicly available benchmark crowd dataset and is tested on real-time streaming. The CCTV camera captures the video stream, when abnormal activity is detected, an alert is generated and is sent to the nearest police station to take immediate action before further loss. We experimentally have proven that the proposed method outperforms over the existing state-of-the-art techniques.

• Journal of Platform Technology
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• v.8 no.4
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• pp.59-69
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• 2020

Recently, the seriousness of ultrafine dust and fine dust has emerged as a national disaster, but small and medium-sized cities in provincial areas lack fine dust monitoring stations compared to their area, making it difficult to manage fine dust. Although the computing resources for collecting and processing fine dust data are not large, it is necessary to utilize cloud and private and public data to share data. In this paper, we proposed a small edge computing system that can measure fine dust, ultrafine dust and temperature and humidity and process it to provide real-time control of fine dust and service to the public. Collecting fine dust data and using public and private data to service fine dust ratings is efficient to handle with edge computing using raspberry pie because the amount of data is not large and the processing load is not large. For the experiment, the experiment system was constructed using three sensors, raspberry pie and Thinkspeak, and the fine dust measurement was conducted in northern part of kyongbuk region. The results of the experiment confirmed the measured fine dust measurement results over time based on the GIS data of the private sector.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.305-315
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• 2021

This study aimed to investigate the influencing factors of stress response, immediacy, emotional intelligence on converged nursing performance in Nurses. The Participants were 180 nurses who had worked at general hospitals without COVID-19 patients in B city. The data were collected by structured questionnaires of stress response, lack of premeditation, emotional intelligence, nursing performance. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffé test, Pearson's correlation coefficients and multiple regression with SPSS 21.0 program. The results showed that use of emotion(β=.31~.39) is the highest significant influencing factors on nursing process skills, leadership, education and collaboration of nursing performance explaining 48.2% of the regression model in this study. And then age(β=-.29~.30), other's emotion appraisal(β=.17~.23) and current position(β=.19) are significant in order. Therefore, it is necessary to develop and apply the intervention programs that improve nurses' emotional intelligence for improving nursing performance.

• Atmosphere
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• v.30 no.4
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• pp.361-376
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• 2020

This study evaluates multiple Regional Climate Models (RCMs) in simulating temperature and precipitation over the Far East Asia (FEA) and estimates the portions of the total uncertainty originating in the RCMs and the driving Global Climate Models (GCMs) using nine present-day (1981~2000) climate data obtained from combinations of three GCMs and three RCMs in the CORDEX-EA phase2. Downscaling using the RCMs generally improves the present temperature and precipitation simulated in the GCMs. The mean temperature climate in the RCM simulations is similar to that in the GCMs; however, RCMs yield notably better spatial variability than the GCMs. In particular, the RCMs generally yield positive added values to the variability of the summer temperature and the winter precipitation. Evaluating the uncertainties by the GCMs (VARGCM) and the RCMs (VARRCM) on the basis of two-way ANOVA shows that VARRCM is greater than VARGCM in contrast to previous studies which showed VARGCM is larger. In particular, in the winter temperature, the ocean has a very large VARRCM of up to 30%. Precipitation shows that VARRCM is greater than VARGCM in all seasons, but the difference is insignificant. In the following study, we will analyze how the uncertainty of the climate model in the present-day period affects future climate change prospects.

• Korean Journal of Heritage: History & Science
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• v.55 no.2
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• pp.114-129
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• 2022

Securing a safe place to keep its collections in Busan, the interim capital during the Korean War, the National Museum of Korea could fulfill its mission to protect the national treasures. Right before Seoul was recaptured by the Communist forces, the museum managed to evacuate its collections to Busan in December of 1950. Until the armistice in 1953, a Korean government warehouse in Busan had to function as a temporary museum building. Protecting the national treasures in this small building, the National Museum of Korea had to maintain its role as a national museum and contribute in revitalizing cultural functions of Busan, the interim capital. The efforts led to hope for reconstructing the museum.

• Journal of the Korean Institute of Gas
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• v.26 no.5
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• pp.10-15
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• 2022

Currently, some urban gas companies are conducting their own gas AMI meter verification projects, along with the demonstration of gas AMI (Advanced Metering Infrastructure) meters under the supervision of the government. There are many positive factors such as remote meter reading and ensuring user gas safety through AMI meter installation, but on the other hand, there are also many problems such as battery discharge, expensive price, and decreased reliability of remote meter data. This study sought various improvements in gas AMI meters along with prevention of serious civil disasters by preemptively eliminating structural safety problems and potential risks from gas leakage due to the expansion of gas AMI meters, and it is expected that this study will contribute to the government's policy to advance gas AMI.

• Journal of the Korean Institute of Gas
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• v.25 no.6
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• pp.1-6
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• 2021

In this study, we developed AMI terminals of 1 (reader): N (small transmitter). Currently, the government is focusing on the Gas AMI demonstration project to advance the outdated metering system of the urban gas industry, led by the government-sponsored ministries. The supply of gas AMI meters has the advantage of resolving uncertainties in privacy violations and measurement information and preparing for consumer safety through gas leakage detection. In the case of existing AMI meters, readers and transmitters were 1:1 methods, while this technology can be extended to multiple generations with a 1:N method, and a technology that can extend battery life by implementing a low-power design is applied. We hope that this research will contribute to the gas AMI supply project in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.123-140
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• 2022

Even though driving behaviors in underground roads can be significantly different from ground roads, existing underground roads follow the design guidelines of ground roads. In this context, this study investigates the driving behaviors of the exit-ramp terminal of urban underground roads using a driving simulator. Virtual driving experiments were performed by analyzing scenarios between the underground and ground road environments. The experiments' driving behavior data for each geometry section are compared and validated through a statistical significance test. This test showed that the speed in the underground road environment is relatively low, and the LPM tends to move away from the adjacent tunnel wall. Based on these findings, this study suggests implications and feasible solutions for improving driver's safety in the exit-ramp terminal of the underground roads.