• Title/Summary/Keyword: Hot spot

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Causes of Burn and Emergency Care on the Spot for the Patients Admitted to Three Hospitals in Taegu (대구시내 종합병원에 입원한 화상환자의 화상원인과 현장에서 취한 응급처치)

  • Chu, Min;Park, Jung-Han
    • Journal of Preventive Medicine and Public Health
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    • v.21 no.2 s.24
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    • pp.238-244
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    • 1988
  • This study was conducted to investigate the causes of burn and emergency cares taken on the spot for the burn patient. Study population included 161 burn patients admitted to 2 university hospitals and 1 general hospital in Taegu from November 1, 1987 to April 30, 1988. Patients or guardians were interviewed with a structured questionnare. Out of 161 burn patients 111(68.9%)were males and 50(31.1%) females. Preschool children of 1-4 years old accounted for 29.8% of the total patients. Burns of children under 15 years of age took place at home in 91.0%, while 48.3% of burns of adult (15 years and over)males occurred at the working place, and 68.0% of adult females occurred at the home. Out of total burns occurred at home 39.8% took place at kitchen/dining room and 24.1% in the room. The most common cause of burns in children was the boiling water or hot food (74.3%). In adults the common causes were electrical burn(22.4%), hot water or food(19.0%) and explosion(12.1%) for males, and hot water or food(32.0%) and explosion (20.0%) for females. Common emergency cares for the burn taken on the spot were undressing(64.6%), pouring Soju(liquor)(13.7%), and pouring cold water(5.0%). There were a few cases who applied ash, soy or salt. To prevent burn, it is recommended to remodel the traditional kitchen and coal-briquet hole, to strengthen the safety control of LP Gas and LN Gas supply, to educate the public for the handling method for such gases, to strengthen the occupational safety control, to improve the safety device for the electric wire and socket, and to limit the temperature of hot water at home and public baths.

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Development of Automatic Extraction Model of Soil Erosion Management Area using ArcGIS Model Builder (ArcGIS Model Builder를 이용한 토양유실 우선관리 지역 선정 자동화 모형 개발)

  • Kum, Dong-Hyuk;Choi, Jae-Wan;Kim, Ik-Jae;Kong, Dong-Soo;Ryu, Ji-Chul;Kang, Hyun-Woo;Lim, Kyoung-Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.53 no.1
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    • pp.71-81
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    • 2011
  • Due to increased human activities and intensive rainfall events in a watershed, soil erosion and sediment transport have been hot issues in many areas of the world. To evaluate soil erosion problems spatially and temporarily, many computer models have been developed and evaluated over the years. However, it would not be reasonable to apply the model to a watershed if topography and environment are different to some degrees. Also, source codes of these models are not always public for modification. The ArcGIS model builder provides ease-of-use interface to develop model by linking several processes and input/output data together. In addition, it would be much easier to modify/enhance the model developed by others. Thus, simple model was developed to decide soil erosion hot spot areas using ArcGIS model builder tool in this study. This tool was applied to a watershed to evaluate model performance. It was found that sediment yield was estimated to be 13.7 ton/ha/yr at the most severe soil erosion hot spot area in the study watershed. As shown in this study, the ArcGIS model builder is an efficient tool to develop simple models without professional programming abilities. The model, developed in this study, is available at http://www.EnvSys.co.kr/~sateec/toolbox for free download. This tool can be easily modified for further enhancement with simple operations within ArcGIS model builder interface. Although very simple soil erosion and sediment yield were developed using model builder and applied to study watershed for soil erosion hot spot area in this study. The approaches shown in this study provides insights for model development and code sharing for the researchers in the related areas.

Development of a Model to Predict the Primary Infection Date of Bacterial Spot (Xanthomonas campestris pv. vesicatoria) on Hot Pepper

  • Kim, Ji-Hoon;Kang, Wee-Soo;Yun, Sung-Chul
    • The Plant Pathology Journal
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    • v.30 no.2
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    • pp.125-135
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    • 2014
  • A population model of bacterial spot caused by Xanthomonas campestris pv. vesicatoria on hot pepper was developed to predict the primary disease infection date. The model estimated the pathogen population on the surface and within the leaf of the host based on the wetness period and temperature. For successful infection, at least 5,000 cells/ml of the bacterial population were required. Also, wind and rain were necessary according to regression analyses of the monitored data. Bacterial spot on the model is initiated when the pathogen population exceeds $10^{15}cells/g$ within the leaf. The developed model was validated using 94 assessed samples from 2000 to 2007 obtained from monitored fields. Based on the validation study, the predicted initial infection dates varied based on the year rather than the location. Differences in initial infection dates between the model predictions and the monitored data in the field were minimal. For example, predicted infection dates for 7 locations were within the same month as the actual infection dates, 11 locations were within 1 month of the actual infection, and only 3 locations were more than 2 months apart from the actual infection. The predicted infection dates were mapped from 2009 to 2012; 2011 was the most severe year. Although the model was not sensitive enough to predict disease severity of less than 0.1% in the field, our model predicted bacterial spot severity of 1% or more. Therefore, this model can be applied in the field to determine when bacterial spot control is required.

Analysis of Land Cover Classification and Pattern Using Remote Sensing and Spatial Statistical Method - Focusing on the DMZ Region in Gangwon-Do - (원격탐사와 공간통계 기법을 이용한 토지피복 분류 및 패턴 분석 - 강원도 DMZ일원을 대상으로 -)

  • NA, Hyun-Sup;PARK, Jeong-Mook;LEE, Jung-Soo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.4
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    • pp.100-118
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    • 2015
  • This study established a land-cover classification method on objects using satellite images, and figured out distributional patterns of land cover according to categories through spatial statistics techniques. Object-based classification generated each land cover classification map by spectral information, texture information, and the combination of the two. Through assessment of accuracy, we selected optimum land cover classification map. Also, to figure out spatial distribution pattern of land cover according to categories, we analyzed hot spots and quantified them. Optimal weight for an object-based classification has been selected as the Scale 52, Shape 0.4, Color 0.6, Compactness 0.5, Smoothness 0.5. In case of using the combination of spectral information and texture information, the land cover classification map showed the best overall classification accuracy. Particularly in case of dry fields, protected cultivation, and bare lands, the accuracy has increased about 12 percent more than when we used only spectral information. Forest, paddy fields, transportation facilities, grasslands, dry fields, bare lands, buildings, water and protected cultivation in order of the higher area ratio of DMZ according to categories. Particularly, dry field sand transportation facilities in Yanggu occurred mainly in north areas of the civilian control line. dry fields in Cheorwon, forest and transportation facilities in Inje fulfilled actively in south areas of the civilian control line. In case of distributional patterns according to categories, hot spot of paddy fields, dry fields and protected cultivation, which is related to agriculture, was distributed intensively in plains of Yanggu and in basin areas of Cheorwon. Hot spot areas of bare lands, waters, buildings and roads have similar distribution patterns with hot spot areas related to agriculture, while hot spot areas of bare lands, water, buildings and roads have different distributional patterns with hot spot areas of forest and grasslands.

Thermal Characteristics of Daegu using Land Cover Data and Satellite-derived Surface Temperature Downscaled Based on Machine Learning (기계학습 기반 상세화를 통한 위성 지표면온도와 환경부 토지피복도를 이용한 열환경 분석: 대구광역시를 중심으로)

  • Yoo, Cheolhee;Im, Jungho;Park, Seonyoung;Cho, Dongjin
    • Korean Journal of Remote Sensing
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    • v.33 no.6_2
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    • pp.1101-1118
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    • 2017
  • Temperatures in urban areas are steadily rising due to rapid urbanization and on-going climate change. Since the spatial distribution of heat in a city varies by region, it is crucial to investigate detailed thermal characteristics of urban areas. Recently, many studies have been conducted to identify thermal characteristics of urban areas using satellite data. However,satellite data are not sufficient for precise analysis due to the trade-off of temporal and spatial resolutions.In this study, in order to examine the thermal characteristics of Daegu Metropolitan City during the summers between 2012 and 2016, Moderate Resolution Imaging Spectroradiometer (MODIS) daytime and nighttime land surface temperature (LST) data at 1 km spatial resolution were downscaled to a spatial resolution of 250 m using a machine learning method called random forest. Compared to the original 1 km LST, the downscaled 250 m LST showed a higher correlation between the proportion of impervious areas and mean land surface temperatures in Daegu by the administrative neighborhood unit. Hot spot analysis was then conducted using downscaled daytime and nighttime 250 m LST. The clustered hot spot areas for daytime and nighttime were compared and examined based on the land cover data provided by the Ministry of Environment. The high-value hot spots were relatively more clustered in industrial and commercial areas during the daytime and in residential areas at night. The thermal characterization of urban areas using the method proposed in this study is expected to contribute to the establishment of city and national security policies.

대향2문조사시 Target Volume의 위치에 따른 Beam Weight의 최적화

  • Lee Jin Guk;Kim Ji Han;Im Ik Su;Choe Yeong Heon
    • The Journal of Korean Society for Radiation Therapy
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    • v.5 no.1
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    • pp.68-73
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    • 1992
  • If the same weight is used in parallel opposed 6 and 10 MV x-ray beams, the lowest dose is achieved at SAD. Therefore, dose homogeneity in the target volume is decreased when SAD is taken at center of target volume than center of phantom or patient. With Standard deviation of ${\pm}6\%$ that repuesented the dose homogeneity in tarhet volume, we studied the optimized beam weights at which hot spot dose was least in parallel opposed beams. The optimized beam weights that maximally decrease the hot spot dose, wer 1.29, 1.19, 2.71, 3.50, and 4.70 in 6 MV x-ray and 1.25, 1.53, 1.90, 2.36, 3.01, and 3.7 in 10 MV x-ray, reapectively, when center of target volume was changed to 2,4,6,8,10, and 12cm from center plan of phantom along the centeral axis of beams.

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An Estimation of the Stress Concentration Factor for Mast Lug of Yacht with Different Shapes (해양레저용 요트의 마스트 러그 형상에 따른 응력집중계수 추정)

  • Roh, Ji-Sun;Oh, Dong-Jin;Kim, Myung-Hyun
    • Journal of Welding and Joining
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    • v.30 no.1
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    • pp.72-77
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    • 2012
  • Recently, according to the increase of income and development of quality of life, the leisure industry has been developed. In particular, the interest of design and manufacture technology of leisure yacht has significantly increased. However, domestic market of leisure ships is currently in its initiating stage. So research and development for structural strength of leisure yacht need to be investigated. In this study, lug of yacht's mast which is known for a critical damage region is explicitly considered. This paper deals with the estimation of stress concentration factors (SCFs) for lug of yacht's mast depending on dimensions of lug using hot spot stress. Also, SCF formulae is suggested using parametric study.

The Variation of Electrical Characteristics of PV Module due to Mechanical Stress (기계적 스트레스에 의한 태양전지모듈의 전기적 특성변화)

  • Kong, Ji-Hyun;Ji, Yang-Geun;Kang, Gi-Hwan;Kim, Kyung-Su;Yu, Gwon-Jong;Ahn, Hyung-Kuen;Han, Deuk-Young
    • New & Renewable Energy
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    • v.6 no.1
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    • pp.38-45
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    • 2010
  • Abstract Under the physical stress on photovoltaic (PV) module, it will be warped according to elongation of the front glass and then micro-crack will be occurred in the thermally sealed solar cell. This micro-crack leads to drop of short circuit current of the PV module. This is because of increase of resistance component by micro-crack. Micro-crack at specific solar cell in the module lessens the durability of PV module with reduced output, hot-spot caused by solar cell output mismatch and increased resistance component. This study shows the relation between electrical characteristics and micro- cracks due to mechanical stress on PV module.

Thermal Fluid Flow Analysis for Temperature Characterization of Mold Transformer in Distribution Power System (배전용 몰드변압기의 온도특성 파악을 위한 열유동해석)

  • Kim, Ji-Ho;Lee, Jeong-Gun;Lee, Ki-Sik;Rhee, Wook;Lee, Hyang-Beom
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.62 no.1
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    • pp.6-11
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    • 2013
  • In this paper, the temperature characteristics of mold transformer for the distribution power system have been analyzed by using computational fluid dynamics(CFD). The model has been modeled by coil, cores, insulating materials and frames about 3MVA grade mold transformer and analyzed the temperature distribution of the structure with a heat fluid. The fluid, which is incompressible ideal gas, is analyzed as a turbulent flow phenomenon on the assumption that it is natural cooling of transformer cooling system. Through this study, by examining the temperature distribution and hot-spot of the structure field of the mold transformer, cooling design and temperature distribution information, which are demanded for designing are estimated.

A Layer-based Dynamic Unequal Clustering Method in Large Scale Wireless Sensor Networks (대규모 무선 센서 네트워크에서 계층 기반의 동적 불균형 클러스터링 기법)

  • Kim, Jin-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.12
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    • pp.6081-6088
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    • 2012
  • An unequal clustering method in wireless sensor networks is the technique that forms the cluster of different size. This method decreases whole energy consumption by solving the hot spot problem. In this paper, I propose a layer-based dynamic unequal clustering using the unequal clustering model. This method decreases whole energy consumption and maintain that equally using optimal cluster's number and cluster head position. I also show that proposed method is better than previous clustering method at the point of network lifetime.