• Journal of the Korean Society of Safety
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• v.31 no.4
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• pp.150-155
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• 2016

This study is to suggest legislation and criteria for public service drones for disaster safety in order to enhance the research and development of the drones by helping setting right direction of the R&D. Many foreign governments are now conducting research and development on using drones as public service for disaster safety. Although there are also some efforts to using drones for public service in Korea, domestic laws and performance criteria for the drones for the purpose have not prepared yet. To set a right direction of the R&D, the laws and criteria shall be legislated and established immediately and then we can enhance the efforts to develop related technology for the drone. So this study proposed a performance criteria to fit various circumstances and situations by analyzing the aviation law in overseas. We hope this study can help R&D on the public service drones for disaster safety.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.35-43
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• 2023

This paper emphasizes that information received in disaster situations can lead to disparities in the effectiveness of communication, potentially causing damage. As a result, there is a growing demand for disaster and safety information among citizens. A user-centered disaster and safety information application service is designed to address the rapid dissemination of disaster and safety-related information, bridge information gaps, and alleviate anxiety. Through the Open API (Open Application Programming Interface), we can obtain clear information about the weather, air quality, and guidelines for disaster-related actions. Using chatbots, we can provide users with information and support decision-making based on their queries and choices, utilizing cloud APIs, public data portal open APIs, and solution knowledge bases. Additionally, through Mashup techniques with the Google Maps API and Twitter API, we can extract various disaster-related information, such as the time and location of disaster occurrences, update this information in the disaster database, and share it with users.

• Journal of the Korea Safety Management & Science
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• v.13 no.2
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• pp.31-42
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• 2011

Smart-Phones are utilized in disaster management field because it can deliver disaster information to large population simultaneously and quickly, and provide accurate information through situation-based service using the LBS(Location Based Service). To study on the utilization of smart phone for disaster information collection and dissemination method, this study suggest a framework which connects smart phone by loading application for reporting disaster. The disaster monitoring and situation dissemination system framework using smart phone is composed of 4 parts. First, smart phone application enters image, video, voice and text information and location of the disaster. Second, the disaster report reception and situation dissemination server receives the information, save in the DB, and send through smart phone SMS. Third, store into disaster information database. Fourth, display the disaster report and management information on 2D GIS, support the decision making process in deciding whether to manage as disaster, and disaster management web service which disseminates situation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.667-670
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• 2014

Recently, Domestic situation have been occurred lots of accidents related with disaster and safety including Sewolho Accident. Nevertheless there is insufficient about IoT recognition service technics. Furthermore mosf of people aware of M2M and IoT technics, but there is no service system at a whole perspective. Goverment have been discuss about that disaster and saftey but it is hard to construct that service system. In this paper, we suggest a process and technology about IoT recognition service on disaster and safety.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.351-362
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• 2017

Recently, analysis techniques to extract new meanings using big data analysis and various services using them have been developed. A disaster safety service among such services has been paid attention as the most important service. In this paper, we design and implement a flood disaster safety system using real time weather big data. The proposed system retrieves and processes vast amounts of information being collected in real time. In addition, it analyzes risk factors by aggregating the collected real time and past data and then provides users with prediction information. The proposed system also provides users with the risk prediction information by processing real time data such as user messages and news, and by analyzing disaster risk factors such a typhoon and a flood. As a result, users can prepare for potential disaster safety risks through the proposed system.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.3
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• pp.163-188
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• 2017

This study aims to propose disaster safety information service model based on LOD for effective management and dissemination of the information. To achieve the aim of this study, current state of disaster safety information was analyzed through online search and face-to-face interviews, and then the information was divided into 6 types. Finally, this study proposed specific process of building disaster safety information LOD service with considerations reflecting the information characteristics. The process for building LOD was based on Guidelines for Building Linked Data written by National Information Society Agency. Especially, ontology concept model was defined by using standard lexical resources and modeling tools based on 6 types of disaster safety information, and classes and properties were proposed. The results of this study will make disaster safety information more useful for common people.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.95-101
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• 2021

In this study, we present how to improve the current seismic disaster information service by utilizing Shake, which can express the effects of earthquakes in the form of isolines. Using ShakeMap software provided by the U.S. Geological Survey, an automated rapid ShakeMap generation system was implemented, and based on this, an earthquake disaster information service improvement model was presented to identify earthquake risk in the form of intensity or peak ground acceleration. In order to verify the feasibility and effectiveness of the improved model, the seismic disaster information service app. was developed and operated on a trial basis in Pohang, Gyeongsangbuk-do. As a result of the operation, it was found that more detailed seismic risk information could be provided by providing information using rapid ShakeMap to induce users' safety behavior more effectively.

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.43-49
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• 2016

In this paper, we propose the controllability function and service design to efficiently implement the control of the disaster communication network, using Internet of Things(IoT) Technology. In accordance with the spread of Information Communication Technology(ICT), the era for building a disaster communications system without exclusion over the entire areas has emerged. National wireless mesh networks for public safety and disaster relief have been evolving to strengthen the pre-disaster response system using the latest technologies through the convergence of various technologies and services from the viewpoint of the command and control between disaster response agencies. In line with such a technological paradigm shift, the controllability of the objects in the IoT has been emerging as a key quality requirement of a disaster communications system. In this study, the objects are classified by the subject of control according to the IoT component, such as data, network resources and services in order to effectively implement their controllability. In addition, based on the destination of this controllability, technologies and services have been designed that can reduce the damage caused by disasters. Technologies and services that were derived from this study must be implemented in the current disaster safety network systems together with the establishment of an infrastructure for the networks in order that all persons are able to effectively utilize the disaster communications system for their safety.

• Journal of Information Technology Services
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• v.18 no.3
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• pp.1-15
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• 2019

Disadvantaged from disaster response training and disaster safety education who people are vulnerable to disasters when faced with disasters. The vulnerability of these disaster response will be linked to the desire for disaster information. Therefore, using smartphone to provide timely disaster information will be an effective disaster response service that enables disaster vulnerable people to avoid disaster efficiently. In particular, the importance of using smartphone as a part of the body will become more and more important in everyday situations when information is acquired through smartphone. In this study, Through a survey of traditional market traders, I can find out that the desire of elderly women, who are weak in disaster, to receive disaster information through smartphone text service is relatively strong. Based on the results of this study, I expect that the opportunity to improve disaster response capability through smartphone text service will be provided to elderly women who are weak in disaster.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.682-690
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• 2020

Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.