• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.542-545
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• 2022

Recently, the Act on the Punishment of Severe Disasters has drawn attention to the construction environment. A common way to check the safety management of the construction site is for workers to check the site with their own eyes. However, this method is inevitably affected by the limitations of workers' abilities, resulting in fatigue and reduced work efficiency. For this reason, it cannot be an efficient method. Thus, we intend to help the working environment and construction site safety through this study, by proposing an efficient ICT safety management system that can supplement the above methods. In this paper explain the design of the access management system using RFID and the field information monitoring method through noise sensors and fine dust sensors. In addition, we propose a system that can prevent accidents between heavy equipment and people with a PIR sensor, and prevent safety accidents by grasping the slope of the building being worked through a gyro sensor.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.301-301
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• 2020

물은 보다 나은 삶을 살아가는데 있어 매우 중요한 자원이며, 안전하고 깨끗한 물을 공급받는 것은 국민 생활 영위에 반드시 필요한 부분이다. 국내 주요 수자원은 하천수를 통해 확보하고 있으며, 안전한 수자원 공급을 위해서는 하천관리를 통한 수질오염사고에 대비한 대책 수립이 필요하다. 국내에서는 페놀, 황산 등 독성오염물질 유출로 인한 수질오염사고가 발생한 바 있고, 그 피해액이 수백억에 달한다. 이러한 수질오염사고로 인한 피해액을 감소시키고 안전한 수자원 공급을 유지하기 위해서는 오염물질의 거동을 이해하고 예측하는 것이 매우 중요하다. 국내하천의 경우, 대부분 하폭 대비 수심비가 크기 때문에 오염물질이 2차원 혼합특성을 나타낸다. 따라서 본 연구에서는 하천 내 오염물질의 2차원적 혼합거동을 해석할 수 있는 수치모형을 개발하고자 하며, 현장에 적합한 해석기법을 검토하고 모형 개발 방향을 결정하고자 한다. 본 연구에서는 하천 내 수질오염사고 발생 시 신속하고 정확한 수질 분석 및 예측을 목표로 오염물질 혼합해석에 주로 활용되는 격자기반 모형과 입자추적 기반 모형의 프로토타입을 개발했다. 용존성 오염물질을 대상으로 격자 기반 및 입자 기반 혼합해석 모형을 개발했으며, 오염물질의 주입형태와 하천 내 유속 분포를 가정해 혼합해석을 수행했다. 격자 기반 모형의 경우, 경계조건과 분산계수의 결정이 필요하고 수렴/발산 문제로 인해 모형의 안정적 실행을 위한 조건 수립이 필요하다. 입자 기반 모형의 경우에도 입자 수에 따른 계산시간 개선이 필요하지만, 입력조건 결정이 간편하고 분산계수 입력이 필요 없어 신속한 모의조건 설정이 가능하다. 오염물질 혼합해석 모형 개발을 위한 해석기법 검토 결과, 신속한 수질 분석 및 예측 결과를 제공하기 위해서는 계산시간 개선을 전제로 모의조건 설정이 용이한 입자 기반 모형이 가장 적합한 것으로 판단된다.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.26-36
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• 2022

Recently, studies have been conducted to cluster vehicles and disseminate safety messages in a VANET environment for driver safety and smoothy traffic. This paper proposes cluster management scheme for safety message dissemination through V2V communication and V2I communication in a VANET environment with high vehicle density and mobility. The proposed scheme reduces packet loss by selecting CH considering reception quality, total data owned by vehicles, moving speed, and connected vehicles, and maintaining cluster head candidates, which are the main agents of message dissemination, considering frequent cluster departures and subscriptions. In addition, the proposed scheme reduces duplicate messages by utilizing clusters by collaborating with a Road side unit(RSU). To prove the excellence of the proposed scheme, various performance evaluations are performed in terms of message packet loss and the number of RSU processing requests. As a result of performance evaluation, the cluster management scheme proposed in this paper shows better performance than the existing scheme.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.3D
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• pp.231-240
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• 2010

As majority of the traffic accidents in intersections is caused by human factor, a close examination is required on its contributing factors through measuring the psychological and physiological response according to the driving characteristics of the drivers and the road conditions. In this study, for the safety evaluation of individual intersection considering human factors of the drivers, electroencephalography reaction was measured utilizing cutting-edge measuring equipment and survey on drivers' cognitive characteristics in ordinary times and while driving test was conducted. The relationship between the electroencephalography response when approaching the intersection and cognitive evaluation survey data in driving test was clarified, and individual intersection safety evaluation model was built considering cognitive evaluation factor and the reaction of a bio-response electroencephalography data. As a result, I could find out that cognitive evaluation was made through the reaction of a bio-response (Electroencephalography) process because electroencephalography reaction of a bio-response showed differently by the physical characteristics of the intersection and cognitive evaluation had a difference.

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.284-292
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• 2024

Purpose: Compared to general fires of the same size, underground parking lot fires are more likely to cause human and property damage and are not easy for firefighters to extinguish fire and save lives. This study attempted to find out how to secure the evacuation safety of parking lot users based on changes in the evacuation simulation behavior mode applied to evaluate the evacuation safety of the object. Method: Simulation for each CASE was performed using the Pathfinder program. Result: it was found that the higher the reference value, the higher the evacuation time, and Behavior showed an increase in time in SFPE mode rather than Steering mode. Priority was able to confirm an increase in time in priority designation rather than non-priority designation. Conclusion: The Required Safe Egress Time (RSET) for evaluating the evacuation safety of underground parking lots and the building evacuation design to ensure evacuation safety should be evaluated and reflected separately from Simulation's Behaviour Mode and Priority.

• Journal of the Korean Society of Safety
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• v.38 no.6
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• pp.50-59
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• 2023

As the diversity of disasters continues to increase, the concept of "complex disasters" has gained prominence in various policies and studies related to disaster management. However, there has been a certain limitation in the availability of the systematic statistics or data in advancing policies and research initiatives related to complex disasters. This study aims to analyze the macro-level characteristics of the complex disasters that have occurred domestically utilizing a 30-year span of a news data. Initially, we categorize the complex disasters into the three types: "Natural disaster-Natural disaster", "Natural disaster-Social disaster", and "Social disaster-Social disaster". As a result, the "natural diaster-social disaster" type is the most prevalent. It is noted that "natual disaster-natural disaster" type has increased significantly in recent 10 years (2011-2020). In terms of specific disaster types, "Storm and Flood", "Collapse", "Traffic Accident", "National Infrastructure Paralysis", and "Fire⋅Explosion" occur the most in conjunction with other disasters in a complex manner. It has been observed that the types of disasters co-ocuuring with others have become more diverse over time. Parcicularly, in recent 10 years (2011-2020), in addition to the aforementioned five types, "Heat Wave", "Heavy Snowfall⋅Cold Wave", "Earthquake", "Chemical Accident", "Infectious Disease", "Forest Fire", "Air Pollution", "Drought", and "Landslide" have been notable for their frequent co-occurrence with other disasters. These findings through the statistical analysis of the complex disasters using long-term news data are expected to serve as crucial data for future policy development and research on complex disaster management.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.559-563
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• 2024

Currently, in Korea, large-scale, deep excavations are being carried out adjacent to structures due to overcrowding in urban areas. for adjacent excavations in urban areas, it is very important to ensure the safety of earth retaining structures and underground structures. accordingly, an automated measurement system is being introduced to manage the safety of subway tunnel structures. however, the utilization of automated measurement system results is very low. existing evaluation techniques rely only on the maximum value of measured data, which can overestimate abnormal behavior. accordingly, in this study, a vast amount of automated measurement data was analyzed using the Gaussian probability density function, a technique that can quantitatively evaluate. highly reliable results were derived by applying probabilistic statistical analysis methods to a vast amount of data. therefore, in this study, the safety evaluation of subway tunnel structures due to adjacent excavation work was performed using a technique that can process a large amount of data.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.579-584
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• 2024

Currently, large-scale, deep construction is being carried out adjacent to subway tracks in korea. when excavating adjacent to each other, it is very important to ensure the safety of earth retaining structures and underground structures. therefore, we are managing the safety of the subway by introducing an automated measurement system. deformation of the subway track during adjacent excavation may affect train running stability. this is a factor that can be linked to train derailments. however, current subway track safety evaluation using automated measurement systems relies only on the maximum value of measured data. therefore, a method to improve the usability of automated measurement system results is needed. in this study, we utilized a technique that can quantitatively evaluate the measurement results of a large amount of subway track deformation. a safety evaluation was conducted on subway track deformation due to adjacent excavation using a vast amount of data using probabilistic statistical analysis techniques.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2010.05a
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• pp.8-8
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• 2010

자원식물을 소재로 이용하는 생물산업은 21세기 경제성장을 주도할 핵심기간산업이며, 미래형 고부가가치산업이다. 현재 지구상에는 약 55만종의 식물이 존재하는 것으로 알려져 있으나, 인간의 손길이 닿지 않은 천연 강우림 등의 미개척지가 상당수 존재하고 있어 더욱 많은 종들이 존재할 것으로 추정된다. 자원식물들 중에는 작물로의 개발이 가능하거나, 개발할 필요성이 높은 식물들이 많이 있다. 자원식물들은 예로부터 식용, 약용, 관상용, 유지용, 기호용, 밀원용, 섬유용, 향신료용, 향료용, 당료용, 호료용, 염색용, 수지용, 탄닌용 등으로 구분되어 이용되어 왔다. 자원식물은 종에 따라 꽃, 줄기, 잎, 뿌리 및 종자 등 부위별로 다양하게 산업적 소재로 활용되어 왔다. 최근에는 건강에 관한 관심이 급증하면서 다양한 건강 기능성 상품이 개발되고 있으며, 관련 시장이 급속하게 성장하고 있다. 특히 자원식물 등 천연물을 소재로 한 건강 기능성 상품은 안전성이 보장되며 우수한 생리활성이 있는 것으로 밝혀지면서, 자원식물을 소재로 한 건강 기능성 상품의 개발에 대한 수요가 증가하고 있는 실정이다. 따라서 다양한 자원식물을 대상으로 이들의 활용가치를 분석하여 상품화할 수 있는 방법의 개발이 절실히 필요하다. 또한 주 5일제 실시 및 여가활용에 관한 관심이 급증하면서 농촌 경관산업에 대한 수요가 증가하고 있다. 농촌 경관산업은 국민의 여가선용 및 복지향상에 효과적일 뿐 아니라 지역주민과 관광객이 함께 즐길 수 있는 관광산업으로써 지역 이미지 강화를 통한 지역 홍보, 지역 내 일자리 창출 및 경관산업에 사용된 생물소재를 이용한 바이오산업의 활성화 등의 장점을 지니고 있다. 또한 농촌 경관산업은 자연과 농촌을 활용한 자연 친화형 관광단지를 조성하여 친환경, 고부가가치형 종합산업을 추구하는 추세이다. 그러므로 경관산업 및 이를 활용한 바이오산업의 소재로써 자원식물의 역할은 매우 클 것으로 생각된다. 특히 각 지역에 자생하는 고유의 자원식물을 활용하면 지역 특화 경관산업 및 바이오산업의 발전에 크게 이바지 할 수 있으며, 이로 인하여 지역 경제 활성화 및 친환경 건강 기능성 상품에 대한 수요를 충족시킬 수 있을 것으로 기대된다. 따라서 친환경 건강 기능성 소재 개발과 농촌 경관산업을 활용한 생물산업에 적용할 수 있는 산업적 가치가 우수한 자원식물의 다양한 기능을 분석하고, 각 자원식물별로 특성에 맞는 개발 방안을 구축하여 다양한 산업화의 소재로 활용하여야 할 것으로 생각된다.

• Tunnel and Underground Space
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• v.26 no.3
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• pp.143-153
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• 2016

This study analyzed the features and various applications of Bluetooth beacon technology for utilization in the mining and construction industries. Through a literature survey, the concept and version-specific features of Bluetooth were reviewed, and representative types of the Bluetooth beacon-based service and its real-world applications in other fields were analyzed. Although a few previous studies that used the Bluetooth Classic (the old version of Bluetooth technology) in the mining industry have been reported, no mine site could be found where the Bluetooth beacon technology was utilized. In the construction industry, this study could find a site where the Bluetooth beacon technology was used to improve the haulage works of construction raw materials. Since the Bluetooth beacon technology has low power consumption and is easy to integrate with smartphones, it will be effectively utilized to improve the productivity and safety in the mining and construction industries.