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A Study on the Safety Operation and Evaluation of Unconventional Oil Plant (비전통오일 시설물의 안전성 운용확보 및 평가에 관한 연구)

  • Jin-Woo Jung;Young-Woo Na;Neung-Won Yang
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.11 no.4
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    • pp.576-581
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    • 2023
  • In this study aims to provide operational guidelines based on risk assessment and safety evaluation in the operation of non-traditional oil production plants, serving as alternative resources in comparison to conventional oils within the construction sector. Presently, operational facilities within these plants are active. However, integrating comprehensive management through sectional and device-specific diagnostic and evaluation systems in similar platform-based operational management systems proves to be a challenging reality. Consequently, this research introduces an evaluation methodology tailored for an operation-centric management system using an integrated management approach, and evaluates its practical applicability within the construction field.

UAV-borne, LiDAR-based Elevation Data : Facilitating Risk Knowledge Sharing for Green and Sustainable Communities (LiDAR 활용 : 지식교류를 통한 지속가능한 녹색도시 실현에 관한 연구)

  • Lee Han Gul;Yoon Hong Sic
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.111-112
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    • 2022
  • 모든 도시가 발전하고 번창하기 위해서는 핵심기반시설의 재난 및 안전이 선제적으로 확보되어야 한다. 본 논문에서는 환경핵심기반시설을 중심으로 지역사회가 지속 가능한 녹색도시로 거듭나기 위해 재난준비태세 증진에 실제 활용 가능한 위험지도를 드론에 장착한 LiDAR 센서를 통해 수집한 고도 데이터를 바탕으로 제작하였다. 나아가 지진과 같은 재난 발생 시 시설에서부터 확산하는 관리 오염물의 경로 및 범위를 시범 모의하여, 기능 연속성 계획 및 재난대응 가이드와 연계를 하는 방안을 제시함으로 지자체 중심의 통합적 지역사회의 노력이 발현될 수 있도록 기초적 연구를 진행하고, 전략적 활성화 방안을 제시하였다. 본 연구는 끊임없는 성장과 거듭되는 개발로 인해 변화하는 도시의 형상에 따라 리스크를 최신화하여 대응력을 높이고, 이해관계자들에게 시각화된 재난 범위 모의를 제시함으로써 지역사회와 지자체 역량에 따른 협력적 재난대응태세에 필요한 프레임워크 도출 및 계획수립을 가능하게 한다는 점에서 큰 의의를 지닌다. 또한, 각 영역별 전문가들의 자문을 통하여 본 논문에서 제시된 확산 모의의 방법론이 타당함을 확인하였다. 무엇보다 모호한 "가능한 신속한 자원관리"와 같은 추상적인 대응계획이 아닌, 객관적인 재난자원관리계획을 수립할 수 있게 함으로써 추후 국가적 재난 및 안전역량을 계량화시킬 수 있을 것으로 사료된다.

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Implementation of a Real-Time Biometric Monitoring System for an Elderly Living Alone (독거노인을 위한 실시간 생체 모니터링 시스템 구현)

  • Myeong-Chul Park;Ji-Hoon Lee;Gyung-Hwan Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.255-256
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    • 2024
  • 고령화가 가속되면서 독거노인의 사회적 고립으로 인해 신체, 정신적 어려움이 발생하고 고독사하는 노인들의 수가 증가해 사회적 문제가 되고 있다. 또한 독거노인 관리를 위한 정부 인력은 한정되어 한 명이 담당해야 하는 사람의 수가 너무 많아 수많은 독거노인의 안전과 복지를 보장하는 데 현실적인 어려움이 있다. 이에 따라 본 논문에서는 독거노인의 안전과 복지를 책임지기 위해 IoT와 각종 센서를 활용하여 생체 정보를 수집하는 웨어러블 기기를 제작하고 데이터베이스 서버를 활용한 IT 인프라 구축을 통해 적은 인력으로 효율적인 의료 지원을 목표로 한다. 본 논문은 독거노인의 거주 환경에서 생체 데이터를 수집하고 이를 효과적으로 분석하여 컴퓨터를 통해 실시간으로 모니터링이 가능하다. 이는 고독사 상황을 사전에 감지할 뿐만 아니라 노인들의 일상생활에서 발생할 수 있는 위험 상황에 즉각적인 대처를 통해 독거노인의 안전 및 복지 수준 향상에 기여하고 나아가 소외 계층의 의료 환경 개선에 도움이 될 것으로 예측된다.

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Characteristics of Geometric Conditions Affecting Freeway Traffic Safety at Nighttime, Sunrise, and Sunset (야간 및 일출몰 시간대 교통안전에 영향을 미치는 고속도로 기하구조 특성분석)

  • Hong, Sung-Min;Kim, Joon-Ki;Oh, Cheol
    • Journal of Korean Society of Transportation
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    • v.30 no.4
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    • pp.95-106
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    • 2012
  • Driver's capability of identifying the change in freeway alignments and environments is one of important factors associated with traffic safety on freeways. In particular, driver's visibility and recognition capability are highly dependent on the altitude of the sun by sunset, sunrise, and nighttime. The purpose of this study is to identify the characteristics of geometric conditions affecting crash occurrences at sunset, sunrise, and nighttime. Poisson and negative binomial regressions were adopted to predict freeway crash frequency in this study. Freeway crash data during 2007~2010 were used for developing the crash frequency models. A set of variables representing the characteristics of geometric conditions were identified as significant ones affecting crash occurrences. The results of this study would be useful in deriving effective countermeasures for preventing traffic crashes that mainly occur at sunset, sunrise, and nighttime on freeways.

Management Method for Private Key File of PKI using Container ID of USB memory (USB 메모리의 컨테이너ID를 이용한 PKI 기반의 개인키 파일의 안전한 관리 방안)

  • Kim, Seon-Joo;Joe, In-June
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.607-615
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    • 2015
  • Mosts user of internet and smart phone has certificate, and uses it when money transfer, stock trading, on-line shopping, etc. Mosts user stores certificate in a hard disk drive of PC, or the external storage medium. In particular, the certification agencies are encouraged for user to store certificate in external storage media such as USB memory rather than a hard disk drive. User think that the external storage medium is safe, but when it is connect to a PC, certificate may be copied easily, and can be exposed to hackers through malware or pharming site. Moreover, if a hacker knows the user's password, he can use user's certificate without restrictions. In this paper, we suggest secure management scheme of the private key file using a password of the encrypted private key file, and a USB Memory's hardware information. The private key file is protected safely even if the encrypted private key file is copied or exposed by a hacker. Also, if the password of the private key file is exposed, USB Memory's container ID, additional authentication factor keeps the private key file safe. Therefore, suggested scheme can improve the security of the external storage media for certificate.

Development and Evaluation of Patient Safety Reporting Promoting Education Program (환자안전보고 촉진 교육프로그램의 개발 및 평가)

  • Kim, Myoung-Soo;Kim, Yun-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.1
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    • pp.284-295
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    • 2012
  • The purpose of this study was to develop and evaluate patient safety reporting promoting strategy for nurses to improve nursing care quality. The process included three phase - construction, implementation and evaluation phase. Before the construction phase has two kinds of subcategories as analysis and verification. Analysis phase was consisted of literature review and field study, and verification was conducted by two specialist. At the construction phase, patient safety reporting system, educational materials, planning for public relation, and reward preparation were developed. After implementation during 12 weeks, we evaluated pre-post scores of satisfaction, stress of conscience, job performances. The participants were 51 nurses working for a hospitals. The program was developed and then administered to the experimental group for 12 weeks. One group pretest-posttest design was used for this study. Data were analyzed using descriptive analysis, paired t-test with the SPSS WIN 18.0 program. After the intervention, job performance scores improved significantly from 3.62 to 3.75(t=2.653, p=.009). But job stress didn't changed significantly(t=.785, p=.434). These strategy can be applied to many clinical setting that will be helpful to promote patient safety reporting for nurses.

A Study on the Information Management of Construction Workers Using Smartmaker of Site Safety Management Supervisor (현장 안전관리 감독자의 smartmaker 를 활용한 건설현장 근로자 정보 관리의 관한 연구)

  • Kim, Sung-hyun;Lee, Ji-yeob;Son, Kiyoung
    • Journal of the Korea Institute of Construction Safety
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    • v.3 no.1
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    • pp.32-40
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    • 2020
  • In this study, an application was developed to reduce the work between labor and safety managers and to hire better workers when hiring workers. With the expected increase in foreign workers in the future, the number of illegal workers will also increase. As a result, accident and on-site management are becoming more difficult due to insufficient information collection of workers. Therefore, it was possible to secure on-site safety through an application that could collect accurate information and reduce the time of information exchange between safety managers and labor managers. In addition, the application was designed to help the safety manager identify the faithful workers more quickly when re-employment of the day laborers if many day laborers were assessed and filled out as they were. This anticipates the expected effect of shortening the construction period. The current application collected necessary information through an interview with the site manager. If the company collects more information needed in the field and has big data than it has collected necessary information so far, it will be highly competitive in the market as it can improve the completeness of applications by establishing opinions and reflecting information accordingly.

Vehicle Detection and Ship Stability Calculation using Image Processing Technique (영상처리기법을 활용한 차량 검출 및 선박복원성 계산)

  • Kim, Deug-Bong;Heo, Jun-Hyeog;Kim, Ga-Lam;Seo, Chang-Beom;Lee, Woo-Jun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.7
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    • pp.1044-1050
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    • 2021
  • After the occurrence of several passenger ship accidents in Korea, various systems are being developed for passenger ship safety management. A total of 162 passenger ships operate along the coast of Korea, of which 105 (65 %) are car-ferries with open vehicle decks. The car-ferry has a navigation pattern that passes through 2 to 4 islands. Safety inspections at the departure point(home port) are carried out by the crew, the operation supervisor of the operation management office, and the maritime safety supervisor. In some cases, self-inspections are carried out for safety inspections at layovers. As with any system, there are institutional and practical limitations. To this end, this study was conducted to suggest a method of detecting a vehicle using image processing and linking it to the calculations for ship stability. For vehicle detection, a method using a difference image and one using machine learning were used. However, a limitation was observed in these methods that the vehicle could not be identified due to strong background lighting from the pier and the ship in the cases where the camera was backlit such as during sunset or at night. It appears necessary to secure sufficient image data and upgrade the program for stable image processing.

A Study on the Optimal Operating Conditions for an Unreacted Hydrogen Oxidation-Heat Recovery System for the Safety of the Hydrogen Utilization Process (수소 활용공정 안전성 확보를 위한 미반응 수소 산화-열 회수 시스템의 운전 조건 최적화 연구)

  • Younghee Jang;Sung Su Kim
    • Applied Chemistry for Engineering
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    • v.34 no.3
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    • pp.307-312
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    • 2023
  • In this study, a catalytic oxidation-heat recovery system was designed that can remove unreacted with a concentration of about 1% to 6% in the exhaust gas of hydrogen fuel cells and recover heat to ensure safety in the hydrogen economy. The safety system was devised by filling hydrogen oxidation catalysts at room temperature that can remove unreacted hydrogen without any energy source, and an exhaust-heat recovery device was integrated to efficiently recover the heat released from the oxidation reaction. Through CFD analysis, variations in pressure and fluid within the system were shown depending on the filling conditions of the hydrogen oxidation system. In addition, it was found that waste heat could be recovered by optimizing the temperature of the exhaust gas, flow rate, and pressure conditions within the heat recovery system and securing hot water above 40 ℃ by utilizing the exhaust gas oxidation heat source above 300 ℃. Through this study, it was possible to confirm the potential of utilizing hydrogen processes, which are applied in small to medium-sized systems such as hydrogen fuel cells, as a safety system by evaluating them at a pilot scale. Additionally, it could be a safety guideline for responding to unexpected hydrogen safety accidents through further pilot-scale studies.

Impact of personal characteristics on learning performance in virtual reality-based construction safety training - Using machine learning and SHAP - (가상현실 기반 건설안전교육에서 개인특성이 학습성과에 미치는 영향 - 머신러닝과 SHAP을 활용하여 -)

  • Choi, Dajeong;Koo, Choongwan
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.6
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    • pp.3-11
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    • 2023
  • To address the high accident rate in the construction industry, there is a growing interest in implementing virtual reality (VR)-based construction safety training. However, existing training approaches often failed to consider learners' individual characteristics, resulting in inadequate training for some individuals. This study aimed to investigate the impact of personal characteristics on learning performance in VR-based construction safety training using machine learning and SHAP (SHAPley Additional exPlanations). This study revealed that age exerted the greatest influence on learning performance, while work experience had the least impact. Furthermore, age exhibited a negative relationship with learning performance, indicating that the introduction of VR-based construction safety training can be effective for younger individuals. On the other hand, academic degree, qualifications, and work experience exhibited a positive relationship. To enhance learning performance for individuals with lower academic degree, it is necessary to provide content that is easier to understand. The lower qualifications and work experience have minimal impact on learning performance, so it is important to consider other learners' characteristics so as to provide appropriate educational content. This study confirmed that personal characteristics can significantly affect learning performance in VR-based construction safety training, highlighting the potential for leveraging these findings to provide effective safety training for construction workers.