• 한국지반신소재학회논문집
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• 제18권4호
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• pp.107-114
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• 2019

본 논문에서는 진원지 주변에서 빠르고 정확한 지진 조기 경보를 수행하기 위한 선착 P파 다중 탐지 시스템과 이를 구동하기 위한 지진파 초동 탐지 및 경보 알고리즘을 개발하였다. 공용 중인 5개소(포항지역 4개소)의 건축물을 선정하여 개발한 계측 시스템을 설치하였고, 지반 진동을 실시간 모니터링하며 실증시험을 진행하였다. 실증 모니터링 중 2019년 9월 26일 포항 지역에서 규모 2.3의 지진이 발생하였다. 포항지역에 설치된 총 4개소의 시스템 중 3개소에서 P파 초동 탐지 알고리즘이 작동되어 지진동 이벤트로 기록되었다. 진원지로부터 5.5 km로 가장 가까운 계측소는 지진 발생 후 1.2초 후 P파 초동이 감지되었으며, P파 도달 후 약 1.02초 후 S파가 도달하여 다소의 경보시간을 제공해주었다. P파가 탐지된 3곳의 최대 가속도는 각각 6.28gal, 6.1gal, 5.3gal로 기록되었으며, 이벤트 경보 발령을 위한 최대 지반 가속도의 임계값(25.1gal)을 초과하지 않아 경보 알고리즘이 작동하지 않았다. 향후 지속적인 모니터링 및 분석을 통해 추가 검증이 이루어진다면 국내 실정에 맞는 실효성 높은 지진 경보 시스템으로 활용 될 수 있을 것으로 판단된다.

• 동아시아경상학회지
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• 제2권4호
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• pp.48-55
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• 2014

Indian railways has been regularly in the news albeit for the wrong reasons. The frequency with which train accidents have been taking place has led to serious doubts in the public mind about the safety of rail travel and also the health of the network. Against this background, an attempt is made in this paper to assess the trends in railway accidents for the period from 2000-01 to 2009-10. The paper also highlighted the various measures taken by IR to prevent accidents to ensure safety to the public.

• 한국자동차공학회논문집
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• 제24권2호
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• pp.255-263
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• 2016

Lane Keeping Assistance System (LKAS) is a kind of Advanced Driver Assistance Systems (ADAS) which are developed to automate/ adapt/ enhance vehicle systems for safety and better driving. The main system function of LKAS is to support the driver in keeping the vehicle within the current lane. LKAS acquires information on the position of the vehicle within the lane and, when required, sends commands to actuators to influence the lateral movement of the vehicle. Recently, the vehicles equipped with LKAS are commercially available in a few vehicle-advanced countries and the installation of LKAS increases for safety enhancement. The test procedures for LKAS evaluations are being discussed and developed in the international committees such as ISO (the International Organization for Standardization) and UNECE (United Nations Economic Commission for Europe). In Korea, the evaluations of LKAS for vehicle safety are planned to be introduced in 2016 KNCAP (Korean New Car Assessment Program). Therefore, the test procedures of LKAS suitable for domestic road and traffic conditions, which accommodate international standards, should be developed. In this paper, some bullet points of the test procedures for LKAS are discussed and proposed by extensive researches of previous documents and reports, which are released in public in regard to lateral test procedures including LKAS and Lane Departure Warning System (LDWS). And then, to evaluate the validity of the proposed test procedures, a series of experiments were conducted using commercially available two vehicles equipped with LKAS. Later, it can be helpful to make a draft considering domestic traffic situations for test procedures of LKAS.

• 융합보안논문지
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• 제15권7호
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• pp.97-102
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• 2015

최근 세계적으로 자연재해 등의 피해를 줄이기 위해 각 국가마다 통합재난안전관리시스템을 운영하고 있다. 특히, 재난경보 메시지를 보내기 위한 방법으로 디지털 사이니지(Digital Signage) 활용에 대한 연구가 이루어지고 있다. 본 논문에서는 디지털 사이니지에 대한 개념과 재난안전관리시스템을 살펴보고 재난안전통신망에서 요구되어지는 보안요구사항을 알아보았다. 또한, 디지털 사이니지를 활용한 재난안전 서비스에서 공통경보 메시지를 안전하게 디지털 사이니지 터미널에 전송하기 위해 공개키 인증기법을 사용한 프로토콜을 제안하였다. 제안 된 프로토콜은 공통경보 메시지를 해당 지역에 안전하게 표시될 수 있도록 하였다.

• 한국안전학회지
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• 제25권3호
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• pp.40-44
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• 2010

North Korea's discharge of water from a dam into the Imjin River that flows through the inter-Korean border swept away a riverside camping site early Sunday morning, killing six people. This tragic incident might have been prevented if the North had given prior notice of the release from its Hwanggang Dam to the South. Investigations are under way to determine the reasons behind the unexpected act. This incident was a man-made disaster not least death of six people. A water level monitoring system(WLMS) of the Imjin River was installed the bridge of Pilseung that operate three public institutions. The WLMS of the A institution set up warning siren and broadcasting as the water level has been rising the bridge of Pilseung in the Imjin River. But the A institution's system was already out of side before discharged of water a dam into the Imjin River and the operators were culpable negligence. The B institution's office employee on charges of negligence that might have contributed to the tragedy and one of the A institution's employees ignored 26 warning messages on the WLMS. This tragic incident was a man-made disaster not least death of six people and might have been prevented if the WLMS was normally operated and the system operators must be worked a tight.

• 여성건강간호학회지
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• 제6권1호
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• pp.109-116
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• 2000

In modern society, the amount of alcohol ingestion is increasing at a dangerous level, especially among women. One of reason for increased alcohol consumption is stress caused by social pressures. Alcohol is a kind of depressant of centric nervous system, so it can induce relaxation of body and decrease the stress. The evidence on the effects of alcohol on the fetus is somewhat hazy, whereas that of smoking is quite clear. The literature on the ingestion of alcohol strongly suggests that drinking during pregnancy is associated with teratogenic effect and low birth weight. Therefore, the adverse effect of alcohol ingestion during pregnancy must be informed to public. More remarkable warning sign about alcohol ingestion must be attached on the top of bottles. This can be an effective measure for public education. Also legal sanction or tax imposition for the production of liquor be required. First of all, drinking habit or drinking culture must be changed. In fact, the strongest motivation of drinking in adolescent is a peer pressure which is related to drinking habit or culture. Secondly, early detection and treatment must be required to prevent from fetal alcohol syndrome. Accordingly, drinking history of pregnant women must be assessed as early as possible and health professional should give a warning about the abstinence of alcohol to drinking women. Thirdly, to minimize the adverse effects for mother, withdrawal syndrome by alcohol ingestion must be treated. to correct the malformation by fetal alcohol syndrome(FAS) can be corrected. Sometimes surgical intervention may be required for this purpose.

• Safety and Health at Work
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• 제10권4호
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• pp.420-427
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• 2019

Introduction: To prevent and manage the societal and economic burden of occupational diseases (ODs), countries should develop strong prevention policies, health surveillance and registry systems. This study aims to contribute to the improvement of OD surveillance at national level as well as to identify priority actions in Turkey. Methods: The history and current status of occupational health studies were considered from the perspective of OD surveillance. Interpretative research was done through literature review on occupational health at national, regional and international level. Analyses were focused on countries' experiences in policy development and practice, roles and responsibilities of institutions, multidisciplinary and intersectoral collaboration. OD surveillance models of Turkey, Belgium and the Netherlands were examined through exchange visits. Face-to-face interviews were conducted to explore the peculiarities of legislative and institutional structures, the best and worst practices, and approach principles. Results: Some countries are more focused on exploring OD trends through effective and cost-efficient researches, with particular attention to new and emerging ODs. Other countries try to reach every single case of OD for compensation and rehabilitation. Each practice has advantages and shortcomings, but they are not mutually exclusive, and thus an effective combination is possible. Conclusion: Effective surveillance and registry approaches play a key role in the prevention of ODs. A well-designed system enables monitoring and assessment of OD prevalence and trends, and adoption of preventive measures while improving the effectiveness of redressing and compensation. A robust surveillance does not only provide protection of workers' health but also advances prevention of economic losses.

• 상하수도학회지
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• 제34권1호
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• pp.35-43
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• 2020

Turbidity has various effects on the water quality and ecosystem of a river. High turbidity during floods increases the operation cost of a drinking water supply system. Thus, the management of turbidity is essential for providing safe water to the public. There have been various efforts to estimate turbidity in river systems for proper management and early warning of high turbidity in the water supply process. Advanced data analysis technology using machine learning has been increasingly used in water quality management processes. Artificial neural networks(ANNs) is one of the first algorithms applied, where the overfitting of a model to observed data and vanishing gradient in the backpropagation process limit the wide application of ANNs in practice. In recent years, deep learning, which overcomes the limitations of ANNs, has been applied in water quality management. LSTM(Long-Short Term Memory) is one of novel deep learning algorithms that is widely used in the analysis of time series data. In this study, LSTM is used for the prediction of high turbidity(>30 NTU) in a river from the relationship of turbidity to discharge, which enables early warning of high turbidity in a drinking water supply system. The model showed 0.98, 0.99, 0.98 and 0.99 for precision, recall, F1-score and accuracy respectively, for the prediction of high turbidity in a river with 2 hour frequency data. The sensitivity of the model to the observation intervals of data is also compared with time periods of 2 hour, 8 hour, 1 day and 2 days. The model shows higher precision with shorter observation intervals, which underscores the importance of collecting high frequency data for better management of water resources in the future.

• 한국IT서비스학회지
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• 제15권4호
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• pp.25-39
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• 2016

The drone is an unmanned aerial vehicle which has no human pilot. Drones can be classified into military drones, commercial drones, and personal drones by usage. Also, drones can be classified from large-sized to nano-sized drone by size and autonomous, remote controlled drone by control type. Especially, military drones can be classified into low-altitude drones, medium-altitude, and high-altitude drones by altitude. Recently, the drone industry is one of the fast growing industries in the world. As drone technologies have become more advanced and cost-effective, Korean government has set its goal to become a top-level country in drone business. However, the government's strict regulation for drone operations is one of the biggest hurdles for the development of the related technologies in Korea and other countries. For example, critical problems for drone delivery can be classified into technical issues and institutional issues. Technical issues include durability, conditional awareness, grasp and release mechanisms, collision avoidance systems, drone operating system. Institutional issues include pilot and operator licensing, privacy rules, noise guidelines, security rules, education for drone police. This study analyzes the trends of the drone industry from the viewpoint of technology and regulation. Also, we define the business areas of drone utilization. Especially, the drone business types or models for public sector are proposed. Drone services or functions promoting public interests need to be aligned with the business reference model of Korean government. To define ten types of drone uses for public sector, we combine the business types of government with the future uses of drones that are proposed by futurists and business analysts. Future uses of drones can be divided into three sectors or services. First, drone services for public or military sectors include early warning systems, emergency services, news reporting, police drones, library drones, healthcare drones, travel drones. Second, drone services for commercial or industrial services include parcel delivery drones, gaming drones, sporting drones, farming and agriculture drones, ranching drones, robotic arm drones. Third, drone services for household sector include smart home drones.

• 한국콘텐츠학회논문지
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• 제19권2호
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• pp.460-468
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• 2019

최근 빅데이터 분석을 통해 새로운 정보들을 도출해내기 위한 분석 기법들과 이를 이용한 다양한 서비스들이 개발되고 있다. 그 중에서 빅데이터가 중요하게 활용될 수 있는 분야 중의 하나가 교통 분야이다. 기존 대중교통 안내 서비스의 경우 현재 교통정보를 기준으로 추천하기 때문에 실제로는 최적이 아닌 경로가 추천될 수 있다. 본 논문에서는 빅데이터 분석을 통한 실시간 최적 교통 경로 안내 시스템을 설계하고 구현한다. 설계한 시스템은 실시간 교통정보를 활용함과 동시에 과거 수집된 교통 정보를 분석하여 각 경로들의 교통 상황을 예측하여 경로 이동 계획을 설정해준다. 또한 중간에 교통상황이 급변하여 경로를 수정해야할 필요가 있을 때 사용자에게 알림을 주고 그에 대한 조치를 취할 수 있도록 지원한다.