• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.3
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• pp.10-21
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• 2014

In Fukushima accident, when the severe accident such as a natural disaster happens, it is impossible to monitor the plant status due to a extreme environment and station blackout and most I&C systems break downs. Finally, these cause the loss of emergency cooling function and thus results in a hydrogen explosion and radiation leak. In this paper, the emergency response system is introduced that monitors and controls properly when the sever accidents like Fukushima accident happen, And the performance requirements of a wireless communication system used in the emergency respons system is described and the performance of emergency communication system is analyzed using the markov model.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.4
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• pp.233-259
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• 2005

The loss of book happens not only from natural disaster but from mostly humans improper intention to acquire without proper consideration of ethnic standards. We occasionally have difficulty in differentiating between stealing and toying books since it is often called the basic instinct to possess the books. It is however absolutely illegal to take books belong to others without permission due to one's pure love towards books, passion to possession, or innate instinct. In this study, we define the definition of book theft and classify the cases of historically well-known book theft. It then states the book plunder cases of Nazi with the abuse of public powers, Libri, and Blumberg in terms of quantity and methods as a history of library.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.9
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• pp.909-915
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• 2008

Recently, the interests in the development and application of unmaned robots are increasing in various fields including surveillance and reconnaissance, planet exploration, and disaster relief. Unmaned robots are usually controlled from distance using radio communications but they should be equipped with an autonomous travelling function to cope with unexpected terrains and obstacles. This means that they should be able to evaluate terrain's characteristics quantitatively using mounted sensors so as to traverse harsh natural terrains autonomously. For this purpose, this paper presents a method for extracting terrain information, that is, slope and roughness from elevation maps as a prior step of traversability analysis. Slope is extracted using the curve fitting based on the least squares method and roughness using three metrics and their weighted average. The effectiveness of the proposed method is verified on both a fractal map and the world model map of a real terrain.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.299-304
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• 2006

This paper is for the on-line monitoring and controlling system in which remote central processor execute commands based on data transmitted via radio or cable captured from the industrial or marine environments. By executing the appropriate system commands, many mechanical parts in industrial environments and natural factors such as temperature and humidity are to be under control in the way of normal system condition. In this research, we control the temperature of a hydrochloric acid tank to be within the predetermined range by executing temperature controlling commands issued by remote central computer which decides the appropriate action for the total system based on the received sensor data transmitted via radio and cable media. This type of monitoring and controlling system has the various applications such as the disaster prevention system, ubiquitous embedded system, alarm system, and the USN systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.338-340
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• 2021

Among the recent natural disasters, flood damage is concentrated in the summer, leading to casualties or property damage due to the typhoon's rainy season. Much research is being done to reduce this damage. In this paper, we design and implement a system that detects paths and provides them to users using shortest-distance algorithms in the event of such sudden flooding. The proposed system uses QGIS to detect paths using topographical data that generated tracks and pointers. In addition, other shortest paths are detected and provided to users when sudden flooding occurs during evacuation to routes detected through scenarios. Therefore, it is assumed that the proposed system will allow users to safely evacuate from the risk of future disaster safety accidents.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.4
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• pp.65-74
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• 2017

North Korea is one of the high vulnerable countries facing the threat of natural disaster and has experienced more frequent disasters in recent years. These disasters have significantly led to food shortages and large reductions in crop yields. In 2015, both North Korean officials and international agencies had identified the extreme drought event, the worst in one hundred years according to the North Korean government. The objective of this study was an assessment of the extreme drought events in 2014~2015, and to apply climatic drought indices for drought monitoring in North Korea. Characteristics of the extreme drought in North Korea are examined by using the weekly-based Standardized Precipitation Evapotranspiration Index (SPEI). The drought characteristics illustrated by the SPEI results are compared with a Standardized Precipitation Index (SPI) results and drought impact information to understand how these indices can explain the drought conditions within the country. These results demonstrated that the SPEI could be an effective tool to provide improved spatial and temporal drought conditions to inform management decisions for drought policy.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.787-794
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• 2018

The various natural disasters such as floods and localized heavy rains are increasing due to the global warming. If a natural disaster can be detected and analyzed in advance and more effectively, it can prevent enormous damage of natural disasters. Recent development in visual sensor technologies has encouraged various studies on monitoring environments including rivers. In this paper, we propose a method to detect water regions from river images which can be exploited for river surveillance systems using video sensor networks. In the proposed method, we first segment a river image finely using the minimum spanning tree algorithm. Then, the seed regions for the river region and the background region are set by using the preliminary information, and each seed region is expanded by merging similar regions to segment the water region from the image. Experimental results show that the proposed method separates the water region from a river image easier and accurately.

• Spatial Information Research
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• v.21 no.5
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• pp.33-41
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• 2013

Recently, the number of disasters has been seriously increasing. The total damages by the natural or man-made disasters during the past years resulted in tremendous fatalities and recovery costs. It is necessary to have efficient emergency evacuation management which is concerned with identifying evacuation route, and the estimation of evacuation and clearance times. An emergency evacuation model is important in identifying critical locations, and developing various evacuation strategies. In that existing evacuation models have focused on route analysis for indoor evacuation, there are only a few models for areawide emergency evacuation analysis. Therefore, we developed a mesoscopic model by using Cube Avenue and performed evacuation simulation, targeting road network in City of Fargo, North Dakota. Consequently, a mesoscopic model developed in this study is used to carry out dynamic analysis using network and input variable of existing travel demand model. The results of this study show that the model is an appropriate tool for areawide emergency evacuation analysis to save time and cost. Henceforth, the results of this study can be applied to develop a disaster evacuation model which can be used for a variety of disaster simulation and evaluation based on scenarios in the local metropolitan area.

• Journal of the Society of Disaster Information
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• v.11 no.3
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• pp.318-328
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• 2015

Effective urban flood reduction and restoration of natural water cycle at present include the application of permeable pavements. The application of permeable pavement addresses urban water cycle and disaster related events which gained attention internationally. However, few researches have been conducted to investigate unsaturated behavior and evaluate the water characteristics curves of these type of pavement materials most especially in the unsaturated state. In this study, first the saturated permeability and the soil-water characteristics curve of a pervious concrete are evaluated based on laboratory tests, and, based on experimental results, the infiltration of permeable pavement system is numerically modelled. In the soil-water characteristics curve of a pervious concrete, the volumetric water content drops very steeply after the air entry value with increasing matric suction. From the finite element analyses, the performance of the permeable pavement when compared to impermeable pavement, confirmed that the whole system effectively delayed and reduced runoff.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.811-818
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• 2022

Recently, the number of natural and environmental disasters is rapidly increasing due to extreme weather caused by climate change, and the scale of economic losses and damage to human life is increasing accordingly. In addition, with urbanization and industrialization, the characteristics and scale of extreme weather appearance are becoming more complex and large in different ways from the past, and need for remote sensing and artificial intelligence technology for responding and managing global environmental disasters. This special issue investigates environmental disaster observation and management research using remote sensing and artificial intelligence technology, and introduces the results of disaster-related studies such as drought, flood, air pollution, and marine pollution, etc. in South Korea performed by the i-SEED (School of Integrated Science for Sustainable Earth and Environmental Disaster at Pukyong National University). In this special issue, we expect that the results can contribute to the development of monitoring and management technologies that may prevent environmental disasters and reduce damage in advance.