• Journal of the Society of Disaster Information
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• v.16 no.1
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• pp.70-78
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• 2020

Purpose: When a disaster occurs, information is collected and sent indiscriminately to the disaster safety situation room, making it difficult to make quick and correct decisions. Therefore, in this study, both the field response team and the situation room attempted to derive the essential information elements for disaster management so that they can identify and respond optimally. Method: In this study, the actual disaster response process was first identified based on the case of large-scale fire disasters in multi-dense facilities. Afterwards, essential information on disaster management was obtained by analyzing the standard manual for large-scale fire crisis management in multi-dense facilities and the fire situation report form prepared at the time of disaster. Result: The Essential information on disaster management was divided into four stages: situation reception·reporting·transmission, total response·regional emergency rescue control group·regional disaster safety task force, operation stage of central emergency rescue control group·central disaster safety task force, and recovery stage. Since then, the information to be collected at each stage and the information relevant to core tasks are presented. Conclusion: The Essential information on disaster management thus obtained can serve as a guide for the person who collects information on site to collect information efficiently. In addition, it is expected that the situation room in charge of disaster response decision-making will receive only the information necessary for decision making, so that it is possible to make a quick situation decision and more efficient disaster situation management.

• Asia pacific journal of information systems
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• v.8 no.3
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• pp.1-20
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• 1998

We propose an Executive Information Systems (EIS) Architecture for chief officers of the Air Force using data warehousing method. This architecture has two main proposes. The one is to provide the information for chief officers to control and command their organizations effectively by analyzing operation data at normal times. The other is to provide chief officers with the information about current situation so that they may make right and rapid decisions at emergency. The architecture introduced here is one that analyzes operational trends as well as current trends in a hierarchical organization environment. System analysis and design techniques for the Air Force EIS such as data flow diagram, system structure, entity-relational diagram, and third normal form of relational database were presented. After prototype screens are demonstrated, benefits of new EIS architecture were also discussed as a conclusion.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.46-53
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• 2015

This paper suggests a method of real time confidence interval estimation to detect abnormal states of sensor data. For real time confidence interval estimation, the mean square errors of the exponential smoothing method and moving average method, two of the time series analysis method, were compared, and the moving average method with less errors was applied. When the sensor data passes the bounds of the confidence interval estimation, the administrator is notified through alarms. As the suggested method is for real time anomaly detection in a ship, an Android terminal was adopted for better communication between the wireless sensor network and users. For safe navigation, an administrator can make decisions promptly and accurately upon emergency situation in a ship by referring to the anomaly detection information through real time confidence interval estimation.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.21 no.1
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• pp.95-114
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• 2023

During the decades after the Fukushima Daiichi Nuclear Power Station (FDNPS) accident, ambient dose rates have markedly decreased when compared to those at the early state of the accident. Government projects have been continuously conducted by surveying the ambient dose rate and radiocesium distributions. Airborne surveys using crewed helicopters and unmanned aerial vehicles (UAVs) are the best methods for obtaining an overall picture of the distribution. However, ground-based surveys are required for accurate measurements near the population. The differences between these methods include the knowledge of the post depositional behavior of radionuclides in land use. The survey results form the basis for policy decisions such as lifting evacuation zones, decontamination, and other countermeasures. These surveys contain crucial findings regarding post-accident responses. This paper reviews the survey methods of government projects and current situation around the FDNPS. The visualization methods and databases of ambient dose rates are also reviewed to provide information to the population.

• The Journal of the Acoustical Society of Korea
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• v.38 no.4
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• pp.443-449
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• 2019

To protect the patient's internal organs when a patient with cardiovascular disease occurs, it is important to reduce the elapsed time by providing emergency medical services. Decisions for conducting cardiopulmonary resuscitation are mainly made using the carotid palpation method, which directs the pulse of the carotid artery, which can diagnose the patient's condition according to one's own subject and cause cerebral blood flow to be blocked by excessive pressure in the carotid due to the weaken cardiopulmonary function. In this study, we developed a multimodal patch-type probe based on multi-channel ultrasound Doppler pairs and oxygen saturation measurement modules which can monitor cardiopulmonary functions. From the in-vivo experiments, the developed probe can be utilized as a novel tool that can increase the survival rate of cardiovascular disease patients by objectively monitoring the cardiopulmonary function of the patient quantitatively and promptly in an emergency situation.

• Journal of Family Resource Management and Policy Review
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• v.13 no.1
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• pp.147-168
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• 2009

The purpose of this study is to research support systems of the community child care services for optimum work-family balance. For this purpose, the questionnaire to be completed combined four areas: the workplace, school, community and home. Then questions concerning demographic factors and community-related aspects were analysed for this article. After analyzing 197 questionnaires, supplementary questions were asked, by interview to 10 samples. Full-time working wives (eg. working from 9am to 6pm) who have 1 or more children under 10 years old, living in Seoul and Gyeonggi province were collected as samples. The results were as follows: First, child care from family and relatives, and community services was properly used during the week, but dual working parents took complete charge of child care on Saturdays. Second, emergency child care was usually provided by the family, while relatives and community child care services were used less. Third, parents spent 17% of their monthly income on total child care expenditure. Fourth, community child care services were not used often, but the level of satisfaction with them was very high. Finally, they used relatives' services for safety reasons and community services for location, and only based on informed decisions. Therefore, Saturday child care programmes need to be initiated to help physically and mentally tired parents, with more general provision of positive and diverse public support systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.8
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• pp.708-715
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• 2014

In this paper, we suggest a method of realtime confidence interval estimation to detect abnormal states of sensor data. For realtime confidence interval estimation, the mean square errors of the exponential smoothing method and moving average method, two of the time series analysis method, where compared, and the moving average method with less errors was applied. When the sensor data passes the bounds of the confidence interval estimation, the administrator is notified through alarming. As the suggested method is for realtime anomaly detection in a ship, an Android terminal was adopted for better communication between the wireless sensor network and users. For safe navigation, an administrator can make decisions promptly and accurately upon emergency situation in a ship by referring to the anomaly detection information through realtime confidence interval estimation.

• Nuclear Engineering and Technology
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• v.53 no.10
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• pp.3275-3285
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• 2021

A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. In order to control the plant operation under both normal and abnormal conditions, the different systems in NPPs (e.g., the reactor core components, primary and secondary coolant systems) are usually monitored continuously, resulting in very large amounts of data. This situation makes it possible to integrate relevant qualitative and quantitative knowledge with artificial intelligence techniques to provide faster and more accurate behavior predictions, leading to more rapid decisions, based on actual NPP operation data. Data-driven models (DDM) rely on artificial intelligence to learn autonomously based on patterns in data, and they represent alternatives to physics-based models that typically require significant computational resources and might not fully represent the actual operation conditions of an NPP. In this study, a feed-forward backpropagation artificial neural network (ANN) model was trained to simulate the interaction between the reactor core and the primary and secondary coolant systems in a pressurized water reactor. The transients used for model training included perturbations in reactivity, steam valve coefficient, reactor core inlet temperature, and steam generator inlet temperature. Uncertainties of the plant physical parameters and operating conditions were also incorporated in these transients. Eight training functions were adopted during the training stage to develop the most efficient network. The developed ANN model predictions were subsequently tested successfully considering different new transients. Overall, through prompt prediction of NPP behavior under different transients, the study aims at demonstrating the potential of artificial intelligence to empower rapid emergency response planning and risk mitigation strategies.

• The Korean Society of Law and Medicine
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• v.24 no.1
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• pp.67-98
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• 2023

In the early stages of the COVID-19 pandemic, Korea took the lead in implementing "social distancing" policies more strongly than other countries. In addition to making it mandatory to wear a mask according to the policy, all patients using medical institutions are tested for COVID-19 to prevent Healthcare-Associated Infections, and only those patients who test negative have been regulated to receive face-to-face medical treatment. In this process, situations such as the disabled, who have difficulty wearing masks, were not taken into account, and emergency patients did not receive timely treatment or surgery from medical personnel. In response, the National Human Rights Commission of Korea has decided that forcing everyone to wear a mask and restricting access to medical institutions constitutes discrimination against the disabled. Therefore, the purposes this study has that, the first is to review cases of human rights discrimination against persons with disabilities due to measures to prevent the transmission of infectious diseases that did not consider the characteristics of persons with disabilities in the COVID-19 situation and issues regarding the decisions of the National Human Rights Commission of Korea, the second is to find a reasonable plan and the need for measures to prevent refusal of treatment by medical institutions for the disabled who have difficulty wearing masks.