• Title/Summary/Keyword: 집계자료

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Socio-Economic Impacts of an Unscheduled Event: A Case in Korea (재해발생으로 인한 사회-경제적 영향분석: 우리나라 사례를 중심으로)

  • Lee, Seong-Kwan;Kang, Seung-Lim;Kim, Tschang-Ho John
    • International Journal of Highway Engineering
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    • v.11 no.1
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    • pp.117-126
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    • 2009
  • Total number of recorded earthquakes in Korea is more than 2,000 of which 48 were catastrophic. The impacts from infrastructure damage due to an earthquake to production facilities and lifelines may spread across boundaries of several regions via import-export relationships and can bring serious economic impact to other regions. The economic impacts from unscheduled events stem not only from the damage and direct losses, but also from the indirect losses during the recovery and reconstruction periods. To recover and reconstruct the facilities and lifelines damaged by unexpected events through investment or government financial aid, both the direct and the indirect economic impacts from an event need to be measured in regional and interregional contexts. Direct economic impact is the direct change of production and demand due to the disruption of production facilities and lifelines from an unexpected event, and indirect economic impact is the change in other sectors due to inter-industry relationships. The purpose of the paper is to analyze various economic impacts of an earthquake, especially impacts on transportation networks in Korea. We collected spatial and economic data from Korea, and analyzed and estimated final demand loss and commodity flows from the unscheduled event.

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A Study on the Air Pollution Monitoring Network Algorithm Using Deep Learning (심층신경망 모델을 이용한 대기오염망 자료확정 알고리즘 연구)

  • Lee, Seon-Woo;Yang, Ho-Jun;Lee, Mun-Hyung;Choi, Jung-Moo;Yun, Se-Hwan;Kwon, Jang-Woo;Park, Ji-Hoon;Jung, Dong-Hee;Shin, Hye-Jung
    • Journal of Convergence for Information Technology
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    • v.11 no.11
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    • pp.57-65
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    • 2021
  • We propose a novel method to detect abnormal data of specific symptoms using deep learning in air pollution measurement system. Existing methods generally detect abnomal data by classifying data showing unusual patterns different from the existing time series data. However, these approaches have limitations in detecting specific symptoms. In this paper, we use DeepLab V3+ model mainly used for foreground segmentation of images, whose structure has been changed to handle one-dimensional data. Instead of images, the model receives time-series data from multiple sensors and can detect data showing specific symptoms. In addition, we improve model's performance by reducing the complexity of noisy form time series data by using 'piecewise aggregation approximation'. Through the experimental results, it can be confirmed that anomaly data detection can be performed successfully.

Monitoring of aquatic medicine managements in South Korea (국내 수산용의약품의 관리 현황 모니터링)

  • Kim, Young-Jae;Seo, Jung-Soo;Park, Jeon-Oh;Jeong, Ah Reum;Lee, Ji-Hoon
    • Journal of fish pathology
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    • v.32 no.1
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    • pp.37-43
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    • 2019
  • Due to the rapid global expansion of aquaculture industry during the past decades, production volume of aquatic organisms has accordingly grown. This has been accompanied by a rise in the incidence of diseases in aquatic organisms, leading to an increased use of aquatic medicines. While aquatic medicines are essential for the prevention and treatment of diseases of aquatic organisms, misuse can cause evolution of antibiotic-resistant bacteria and pose serious problems to the safety and hygiene of fisheries products. In this study, we surveyed and compared, by analyzing data compiled by all national control centers for aquatic animal diseases in South Korea, to estimate the amount of aquatic medicines sold in different regions between 2012 through 2015. Since we also examined the marketing routes of aquatic medicines, this basic data can be utilized for policy implementation to improve drug safety. In the future research, however, it will be clearly necessary to estimate directly the amounts of drugs actually applied to aquaculture organisms. The current sales figure data should be helpful for preparation of an effective system for aquatic drug use management.

A Study on the Supply Competitiveness of Dramas of the Domestic OTT Platforms (국내 OTT 플랫폼 드라마 수급 경쟁력 연구)

  • Hong, Ilhan;Park, Jin-woo;Kim, Kenneth ChiHo
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.327-333
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    • 2021
  • The purpose of this study is to explore what elements and measures are necessary to grasp the content influence and competitiveness of each OTT platform, which is difficult to measure only with the existing TV broadcast ratings indicator, on the same basis. In this study, based on the RACOI, the daily Top 10 list provided by Netflix was scored to determine the correlation with the viewers' reaction to TV dramas, and a meaningful comparison criterion index was derived. Based on this, the study tried to analyze the share of content provided by the top 3 OTT platforms in Korea. Spearman's correlation analysis was performed for each indicator of RACOI and the Netflix popularity score. It was confirmed that the Netflix popularity score was correlated with the digital video views indicator of RACOI. As a result of analyzing the platforms, it was found that the popularity of the content provided by Netflix and Tving was relatively high. This study did not secure the company's sales data, and there is a limitation in that long-term tracking analysis could not be performed. However, the study extracted the viewer response indicators of TV that are correlated with popularity within Netflix. It is valuable as a basic study of an extended study that compares and confirms the long-term impact of content provided by each OTT platform in the future.

The Analysis of Changes in Forest Status and Deforestation of North Korea's DMZ Using RapidEye Satellite Imagery and Google Earth (RapidEye 위성영상과 구글 어스를 활용한 북한 DMZ의 산림현황 및 산림황폐지 변화 분석)

  • KWON, Sookyung;KIM, Eunhee;LIM, Joongbin;YANG, A-Ram
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.4
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    • pp.113-126
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    • 2021
  • This study was conducted to analyze the forest status and deforestation area changes of the DMZ region in North Korea based on satellite images. Using growing and non-growing season's RapidEye satellite images, land cover of the North Korean DMZ was classified into stocking land(conifer, deciduous, mixed), deforested land(unstocked mountain, cultivated mountain, bare mountain), and non-forest areas. Deforestation rates in the Yeonan-baecheon, Beopdong-Pyeonggang, Heoyang-Geumgang and Tongcheon-Goseong district were calculated as 14.24%, 16.75%, 5.98%, and 16.63% respectively. Forest fire and land use change of forest were considered as the main causes of deforestation of DMZ. Changes in deforestation area were analyzed through Google Earth images. As a results, it was shown that the area of deforestation was on a decreasing trend. This study can be used as basic data for establishing inter-Korean border region's forest cooperation strategies by providing forest spatial information on the North Korea's DMZ.

A Study on Biomass Estimation Technique of Invertebrate Grazers Using Multi-object Tracking Model Based on Deep Learning (딥러닝 기반 다중 객체 추적 모델을 활용한 조식성 무척추동물 현존량 추정 기법 연구)

  • Bak, Suho;Kim, Heung-Min;Lee, Heeone;Han, Jeong-Ik;Kim, Tak-Young;Lim, Jae-Young;Jang, Seon Woong
    • Korean Journal of Remote Sensing
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    • v.38 no.3
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    • pp.237-250
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    • 2022
  • In this study, we propose a method to estimate the biomass of invertebrate grazers from the videos with underwater drones by using a multi-object tracking model based on deep learning. In order to detect invertebrate grazers by classes, we used YOLOv5 (You Only Look Once version 5). For biomass estimation we used DeepSORT (Deep Simple Online and real-time tracking). The performance of each model was evaluated on a workstation with a GPU accelerator. YOLOv5 averaged 0.9 or more mean Average Precision (mAP), and we confirmed it shows about 59 fps at 4 k resolution when using YOLOv5s model and DeepSORT algorithm. Applying the proposed method in the field, there was a tendency to be overestimated by about 28%, but it was confirmed that the level of error was low compared to the biomass estimation using object detection model only. A follow-up study is needed to improve the accuracy for the cases where frame images go out of focus continuously or underwater drones turn rapidly. However,should these issues be improved, it can be utilized in the production of decision support data in the field of invertebrate grazers control and monitoring in the future.

Evaluation of Etiological Factors for Injuries at Oral and Maxillofacial Area (구강악안면부 외상발생의 역학적 평가)

  • Bae, Sung-Suk;Hwang, Soon-Jung
    • Journal of dental hygiene science
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    • v.12 no.4
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    • pp.310-319
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    • 2012
  • In this study, 1,495 cases of computerized data collected as disease entities of oral and maxillofacial injuries among patient visiting S university hospital located in Seoul in 2009 were analyzed and following results were obtained. It was found that the injury incidence in male was greater than in female (1.49:1), it occurred most frequently in the age of 7~14 years old (19.6%), and its most frequent cause was falling down (25.9%). Injuries occurred in other place including beach and open-air (24.7%) most frequently, often developed in anterior teeth (43.2%) and posterior teeth (43.1%), their incidence was relatively higher between 15:00~17:00 (10.4%) and 19:00~23:00 (7.1%) O'clock. In the relationship between causes of the injury and the diagnosis based on the international classification of disease), falling, fall, impingement, violence, traffic accident, sports and own making accident caused most frequently lip and oral open injuries (S01.5), open fracture of tooth (S02.51), close fracture of tooth (S02.50), close fracture of mandible (S02.60), close fracture of tooth (S02.50), respectively. From the above results, it is necessary to understand general characteristics of oral and maxillofacial injuries and to consider their trends for the establishment of systematic complement policies and for the performing safety training and public relations activities.

Mortality Change of North Korean People and its Association with State Production and Welfare System (경제 위기 전후 북한 주민의 사망률 동태의 특성과 변화)

  • Park, Keong-Suk
    • Korea journal of population studies
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    • v.35 no.1
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    • pp.101-130
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    • 2012
  • This study examines mortality change in North Korea and its association with state production and welfare systems. Two main subjects are analyzed. The first theme is to examine the reliability of mortality related data released by North Korea government authorities. Examining inner consistencies among mortality related statistics and comparing with mortality trends in other socialist societies, the study finds that mortality rate was under estimated. Under-estimation of mortality by North Korean authorities is regarded to result not only from political purpose which aims to propagate the regime's superiority but also from enumeration errors of vital statistics based on the residence registration. The second theme is to estimate the change in mortality of North Korean people since the establishment of DPRK, correcting errors of mortality data. Mortality of North Korean people is estimated to have improved largely by the early 1970s, to have been sluggish hereafter, and finally to have increased during the economic hardship period between 1993 and 2008. While large people died during the food crisis in the late 1990s, however the population loss caused by mortality increase was not so great as the proposition of the huge starvation was expected. It is partly because population turbulence occurred not just by mortality increase, rather it has progressed in the joint effects of fertility decline and exodus of North Korean people for food. It is also due to North Korean people's voluntary activities of informal economy. It is also worth noting the high mortality rate of North Korean men. The high mortality of North Korean men is likely due to men's mobilization for long time in army and labor with high risk of accident and their life styles.

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Time Series Analysis on Outcomes of Tuberculosis Control and Prevention Program between Small Areas in Korea - with Patient Registry Data of 234 City.County.District Public Health Centers - (소규모 지역간 결핵관리사업 성과에 대한 시계열분석 - 전국 234개 시.군.구 보건소의 환자등록자료를 중심으로 -)

  • Kim, Chun-Bae;Choe, Heon;Shin, Kye-Chul;Park, Jong-Ku;Ham, Soo-Keun;Kim, Eun-Mi
    • Tuberculosis and Respiratory Diseases
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    • v.48 no.6
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    • pp.837-852
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    • 2000
  • Backgrounds : Today, tuberculosis cannot only be cured medically, but also controlled by public health. Despite the overall worldwide decline in tuberculosis, the disease continues to be a significant problem among developing countries and in the slums of large cities in some industrialized countries. Particularly, this communicable disease has come into the public health spotlight because of its resurgence in the 1990's. our country has been operating the Korean National Tuberculosis Control Program since 1962, focusing around public health centers. Therefore, this study aims to compare the effectiveness of tuberculosis control activities, one of the major public health activities in Korea, by producing indexes, such as the yearly registration rate per 100,000 population and treatment compliance of tuberculosis on in small areas (communities). Methods : This work was accomplished by constructing a time-series analytic model using data from "1980~2000: the Yearly Statistical Report" with patient registry data of 234 City. County. District public health centers and by identifying the factors influencing the tuberculosis indexes. Results : The trends of pulmonary tuberculosis positive point prevalence and pulmonary tuberculosis negative point prevalence on X-ray screening have declined steadily, beginning in 1981 and continuing to 1998 by region (city, county, district). Although the tuberculosis mortality rate steadily shows a declining trend by year and region, but Korea still ranks first among 29 OECD countries in 1998, with a tuberculosis mortality rate of 7.1 per 100,000 persons, according to the time-series analysis for fatal diseases. Conclusion : The results of the study will form the fundamental basis of future regional health care planning and the Korean Tuberculosis Surveillance System on 2000. Since the implementation of local autonomy through the Local Health Act of 1995, it has now become vita1 for each city, county, district public health centers to determine its own priorities for relevant health care management, including budget allocation and program goals.

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Analysis on the Effect of the Urban Park Development on Change of Urban Spatial Structures - Focused on Gentrification around Seoul Forestry Park in Seongdong-gu - (도시공원 조성이 도시공간구조 변화에 미치는 영향 분석 - 성동구 서울숲 젠트리피케이션 현상을 중심으로 -)

  • Moon, Seung-Woon;Kim, Euijune;Ku, Jin-Hyuk
    • Journal of the Korean Institute of Landscape Architecture
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    • v.45 no.2
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    • pp.76-88
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    • 2017
  • The urban park plays important roles in protecting the urban landscape and improving citizens' health, recreation, and the emotional life. Above and beyond these roles, the urban park is expected to rearrange urban spatial structures as a kind of urban system. The purpose of this paper is to identify empirically to change urban spatial structures by construction of the urban park. This study regards gentrification around the urban park as a process to change urban spatial structures. The gentrification means the regeneration and upgrading of deteriorated urban property by the middle class or commercial developers. The site of case analysis is the Seoul Forestry Park in Sungdong-gu, Seoul. The Seoul Forestry Park is regarded as a representative urban park of Seoul, and caused gentrification around park after the 2005 opening. This study operationally defines the gentrification index and the accessibility index from an urban park and offers an empirical analysis of relation among the urban park, the gentrification and urban spatial structure in a statistic district which is the minimum unit of Korean statistic data in 2000, 2005, and 2010, using Difference-in-Difference method and linear probability model. The results of this empirical study show that the Seoul Forestry Park changes urban spatial structures by gentrification. It reverses a trend of migration of gentrifiers before and after construction of the Seoul Forestry Park. It suggests urban park construction as an alternative method for urban regeneration by inducing the middle class into the inner city of Seoul.