• Journal of Climate Change Research
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• v.5 no.3
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• pp.257-266
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• 2014

This study aims to understand abnormal climate caused by impacts of climate change and to suggest the direction of urban planning focusing on adaptation to climate change. The study consists of theory consideration and case study(Chicago, Philadelphia, Seattle). As a result, the main impacts of climate change faced by urban areas are heat wave, precipitation, and drought. To prevent these impacts, it is important to prepare methods of urban planning as followings: planning for land use, park and green considering the climate patterns, establishing and managing water resources systems similar to the nature, securing renewable energy resources, and transportation facilities and exterior space with proof against climate. It is especially necessary to introduce infrastructures related to storm water, green roof, shading tree planting, green space, and permeable pavement. Finally, in order to realize urban planning for adaptation to climate change, it is needed to make the detailed and specific goal and strategy for the climate change adaptation plan and to extend the scope from the goals to an action plan, a detailed plan, and a design guideline.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1027-1041
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• 2015

Recently, there are rapidly increasing cases of APT (Advanced Persistent Threat) attacks such as Verizon(2010), Nonghyup(2011), SK Communications(2011), and 3.20 Cyber Terror(2013), which cause leak of confidential information and tremendous damage to valuable assets without being noticed. Several anomaly detection technologies were studied to defend the APT attacks, mostly focusing on detection of obvious anomalies based on known malicious codes' signature. However, they are limited in detecting APT attacks and suffering from high false-negative detection accuracy because APT attacks consistently use zero-day vulnerabilities and have long latent period. Detecting APT attacks requires long-term analysis of data from a diverse set of sources collected over the long time, real-time analysis of the ingested data, and correlation analysis of individual attacks. However, traditional security systems lack sophisticated analytic capabilities, compute power, and agility. In this paper, we propose a Fast Data based real-time abnormal behavior detection system to overcome the traditional systems' real-time processing and analysis limitation.

• Journal of the Korean Society of Hazard Mitigation
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• v.3 no.3 s.10
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• pp.165-171
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• 2003

An abnormal storm by the typhoon of RUSA in 2002th year was broken out with tremendous flood demages and inundations on the basin of Chogangcheon located in the upper middle part of Guem river's upstream. This flood could not be engaged because it was so big that the stage engaging Songcheon station stuck to Songcheon bridge was destroyed by submerging. In this study the quantity of the flood was calculated by use of Manning's equation and suitable roughness coefficient was suggested.

• Journal of the Korean Geographical Society
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• v.43 no.6
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• pp.858-872
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• 2008

This study examined the meteorological disaster of Jeju Island in Chosun Dynasty based on historical documents, and analyzed how its government and Jeju Islanders responded to this. Recording cases of abnormal weather days of Jeju Island in Chosun Dynasty were most in 17th Century, and then in 18th Century, 16th Century, 15th Century, and 19th Century in order. For the type of meteorological disaster, storm damage was most serious, and then flood disaster, drought disaster, and snow damage were in order. For the region, Jejumok was mostly damaged from storm and flood, and Daejeonghyeon was mostly from drought. Once meteorological disaster occurred, it was a common thing that it continued with famine. The Chosun government relieved Jeju Islanders by moving the grains of mainland into Jeju Island, and for this, installed Galdujin warehouse, Naripo warehouse, and Jemin warehouse. Also, it tried to resolve chronic famine by moving Jeju people into mainland such as Pyeong'an-do. Corresponding to severe weather, the farmers of Jeju Island implemented agricultural methods such as Dapjeon, Baryeong, molding, and wind-breaking; and the seamen conducted unique arts of navigation such as Hwanjeon, and gravel shipment.

• Journal of Korean Society of Disaster and Security
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• v.13 no.4
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• pp.13-24
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• 2020

Abnormal weather conditions have lately been occurring frequently due to the rapid economic development and global warming. Natural disasters classified as storm and flood damages such as heavy rain, typhoon, strong wind, high seas and heavy snow arouse large-scale human and material damages. To minimize damages, it is important to estimate the scale of damage before disasters occur. This study is intended to develop a strong wind damage estimation function to prepare for strong wind damage among various storm and flood disasters. The developed function reflects weather factors and regional characteristics based on the strong wind damage history found in the Natural Disaster Yearbook. When the function is applied to a system that collects real-time weather information, it can estimate the scale of damage in a short time. In addition, this function can be used as the grounds for disaster control policies of the national and local governments to minimize damages from strong wind.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.69-75
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• 2019

The frequency of natural disasters and the scale of damage are increasing due to the abnormal weather phenomenon that occurs worldwide. Especially, damage caused by natural disasters in coastal areas around the world such as Earthquake in Japan, Hurricane Katrina in the United States, and Typhoon Maemi in Korea are huge. If we can predict the damage scale in response to disasters, we can respond quickly and reduce damage. In this study, we developed damage prediction functions for Wind waves caused by sea breezes and waves during various natural disasters. The disaster report (1991 ~ 2017) has collected the history of storm and typhoon damage in coastal areas in Korea, and the amount of damage has been converted as of 2017 to reflect inflation. In addition, data on marine weather factors were collected in the event of storm and typhoon damage. Regression analysis was performed through collected data, Finally, predictive function of the sea turbulent damage by the sea area in 74 regions of the country were developed. It is deemed that preliminary damage prediction can be possible through the wind damage prediction function developed and is expected to be utilized to improve laws and systems related to disaster statistics.

• Ocean and Polar Research
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• v.31 no.4
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• pp.415-422
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• 2009

The wave observation system in Korea has been established with an emphasis on pointmeasurement based on in situ instrumentations. However, the system cannot fully investigate the coastal wave-related problems that are significantly localized and intensified with three-dimensional regional geometries. Observation technique that can cover local processes with large time and spatial variation needs to be established. Video imaging techniques that can provide continuous monitoring of coastal waves and related phenomena with high spatial and temporal resolutions at minimum cost of instrumentation risks are reviewed together with present status of implementation in Korea. Practical applications of the video imaging techniques are suggested to tackle with various coastal issues of public concern in Korea including, real-time monitoring of wave runup and overtopping of swells on the east coast of Korea, longshore and rip currents, morphological and bathymetric changes, storm surge and tsunami inundation, and abnormal extreme waves in the west coast of Korea, etc.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.3
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• pp.299-309
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• 2006

In recent years, a large natural disasters have occurred due to worldwide abnormal weather and the amount of damage has been increased more resulting from high density population and a large-sized buildings of the urbanized area. In this study. we estimate the flooded area according to rainfall probability intensify and sea level in Woreong dong, Masan occurred flood damages by typhoon Maemi using SWMM, a dynamic rainfall-runoff simulation model in urban area, and then analyze the damage of flood expected area through connecting with GIS database. In result, we can predict accurately expected area of inundation according to the rainfall intensity and sea level rise through dividing the study area into sub-area and estimating a flooded area and height using SWMM. We provide also the shelter information available for urban planning and flood risk estimation by landuse in expected flood area. Further research for hazard management system construction linked with web or wireless communication technology expects to increase its application.

• Journal of the Korean association of regional geographers
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• v.19 no.2
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• pp.340-351
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• 2013

International society has been making a lively discussion about natural disaster by climate change to mitigate natural hazard centering around intra-government association. This study dealt with a strategic mitigation and technical adaptation to support a habitual natural disaster region such as Bangladesh in terms of international cooperation for assistance to protect against the natural hazard. The land-cover on scale of one third of Bangladesh is situated lower than sea level that causes habitual flooding accident which gets increasing in the strengthen every single year. Most of people lives around exterior sea coast being faced with disaster of abnormal storm forming every three year cycle. Especially, the socio-economic status of the people in the coast is usually very low, and it need to get help from international cooperation aid. Therefor, the case study for the vulnerability of natural disaster in Bangladesh on geographical analysis is meaningful to join the international cooperation taking a part of role on technical support and education for adaptation of the natural disaster.

• Journal of Veterinary Clinics
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• v.30 no.4
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• pp.305-309
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• 2013

Pyometra is a diestrual, chronic disease process with acute manifestations in the adult, ovary-intact bitch. Serosal inclusion cysts develop during postpartum involution as mesothelium becomes trapped during rapid uterine contraction. A 10-year-old golden retriever bitch presented with lethargy, anorexia, tachypnea, abdominal distention, and abnormal vaginal discharge. Radiographic, ultrasound, and laboratory examinations were performed. On ultrasound examination, the uterus was distended by fluid containing echogenic "snow storm" particles; cystic structures containing anechoic fluid were found adjacent to the body of the uterus. Leukocytosis, neutrophilia, and anemia were diagnosed by a complete blood cell count. The initial diagnosis was pyometra, and an ovariohysterectomy was performed. Macroscopically, the uterine body and horns were expanded and partially adhered to the abdominal wall; numerous cysts containing clear fluid protruded over the entire surface of the uterus. Escherichia coli that was sensitive to enrofloxacin, was cultured from the lumen of the uterus. Histopathological assessment confirmed a final diagnosis of pyometra and serosal inclusion cysts of the uterus.