• Title/Summary/Keyword: Regional Network

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Social Network Type Analysis of Highly Pathogenic Avian Influenza(HPAI) Outbreaks in South Korea, 2014-2016 (2014-2016 국내 발생 고병원성조류인플루엔자(HPAI)의 사회연결망(Social Network) 유형 분석)

  • BAE, Sun-Hak;JEONG, Hae-Yong;EOM, Chi-Ho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.3
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    • pp.114-126
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    • 2016
  • Domestic risk factors that are thought to be correlated with highly pathogenic avian influenza (HPAI) outbreak are migratory birds and moving objects such as poultry farm vehicles. In particular, the commercial vehicles that routinely circulate the local and/or remote poultry farms produce are thought to be major HPAI risk factors in South Korea. In this study, the driving histories of the vehicles belonging to poultry farms and/or commercial companies registered in the Korea Animal Integrated System (KAHIS) were analyzed using statistical and social networking tools in a Geographic Information System (GIS) in order to understand the pattern of the HPAI (H5N8) outbreak that occurred in 2014 in South Korea. Based on the 2014 HPAI outbreak patterns, HPAI-infected poultry farms were categorized according to geological features. The HPAI-infected poultry farms were categorized as 'regional-accumulation', 'regional-distribution', 'metropolitan-accumulation', 'metropolitan-distribution' and 'national-distribution' in endemic or non-endemic regions. We were able to categorize most HPAI-infected poultry farms into the five proposed categories, but further studies are required to categorize all such farms. Based on this categorization system, we propose efficient but economical prevention boundaries in South Korea. We strongly believe that our research could hugely impact government decisions to estimate the prevention area.

Identifying Regional Tourism Resources Using Webometric Network Analysis: A case of Suseong-gu in Daegu, South Korea (웹보메트릭스를 활용한 지역관광자원 발굴 및 네트워크 분석: 대구 수성구를 중심으로)

  • Song, Hwa Young;Zhu, Yu Peng;Kim, Ji Eun;Oh, Jung Hyun;Park, Han Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.475-486
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    • 2020
  • The purpose of present study is to identify the regional tourism resources using Webometric network analysis. The study focuses on Suseong area in Daegu metropolitan city. Various kinds of web-based data, for example, hit counts, online news, and public comments, were used to discover hot places and people's responses. The research question is, 'First, what is the optimum level of the search engine for suseong? Second, what is the online appearance of tourist resources in suseong? Which region is the center of tourism with high levels of emergence? Third, what are the main contents of news articles and comments related to the Suseong pond?'. The results show that the search engine optimization level in Suseong is lower than that in other areas in Daegu. In other words, tourism information and contents regarding Suseong are not highly visible on cyber space. Importantly, Suseong pond had the highest online presence. A close analysis of both online news and users' comments on Suseong pond, however, revealed the biggest concern as calling for improving public accessibility to tourism infrastructure. The findings are expected to contribute to policy development and service operation related to tourism resources in Suseong.

Subsistence Mode of Small Manufacturing Enterprises at the Industrial Community in Taegu City. (대도시 주공혼재지역의 영세제조업의 존립기반: 대구시 노원동을 사례로)

  • Lee, Chul-Woo;Park, Sahng-Min
    • Journal of the Korean association of regional geographers
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    • v.6 no.1
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    • pp.29-49
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    • 2000
  • The purposes of this study are to identify the characteristics of inner-city industrial community and to analyse the subsistence mode of small manufacturing enterprises in the industrial community in Taegu Metropolitan area. The case study area, Nowon 1. 2-ga dong, is the typical inner city industrial community, adjacent to old industrial complex, which was recently transformed from semi -industrial to semi-residential zoning district. Now there are many old one story housing, newly constructed multi stories housing and many small factories of metal and machinery products. The conflicts of between residents and small business owners are not serious but latent. The subsistence mode of small manufacturing enterprises in this area is characterized as the network production system. The main attributes of this mode are local integration, horizontal subcontracting and strong industrial linkages in production processes and transactions. These transactions are mainly made by face-to-face contacts. The small business owners' local social networks are seen as series of units which are interconnected through various types of social and business relations. They exchange business information as using social networks. In addition, the majority of them join local social clubs with their local business counterpartners. Finally, the locational advantages of inner-city industrial community are production network, different industrial linkages and characteristic industrial milieu such as social solidarity, informal labor market and incubator effects. But these advantages are being challenged from the contradiction between capital and laned property and the urban gentrification policy. Accordingly, there should be positive redevelopment policy considering the subsistence mode of small business in these areas.

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A Study on the Environmental Changes of Coastal Area in Oncheon Gun of Pyeongnam Province by Neural Network Classification Using Satellite Images, West Coast of North Korea (위성영상의 신경망 분류에 의한 평안남도 온천군 해안지역의 환경 변화 연구)

  • Lee, Min-Boo;Kim, Nam-Shin;Lee, Gwang-Ryul;Han, Uk
    • Journal of the Korean association of regional geographers
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    • v.11 no.2
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    • pp.278-290
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    • 2005
  • This study deals with the geomorphic, environmental and land use changes by comparative analysis using Landsat TM images of 1988 year and ETM ones of 2002 year, partly together with the new Quick Bird images having 60cm resolution for more detail analysis, focusing on the Oncheon gun(county) in Pyeongnam Province, west coast zone of North Korea. The main analysis methodology is neural network classification, which is more advanced techniques for the classification of land cover and land use, with higher accuracy rate and lower errors. The TM images of 1988 year show, mainly, the on-construction tide embank for the reclamation at Gwangryangman bay and salt farm on the reclaimed tidal flat. But, ETM images of 2002 year present stabilized reclaimed land, salt farm and rice field, recently transformed from salt farm. Especially, new tidal land has been naturally developed on the coastal shallow out of tide embank and salt farm. The results of the study may help to database coastal environmental changes and to support for reasonable and productive land use of North Korea, and to manage and plan unified national land in the near future.

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Comparing the Industrial Characteristics of Smart City in Korea and Spain (한국과 스페인의 스마트시티 산업 특성 비교)

  • Jo, Sung Su;Lee, Sang Ho
    • Journal of the Korean Regional Science Association
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    • v.38 no.3
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    • pp.19-39
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    • 2022
  • The aim of this study is to compare and analyze structural characteristics of smart city industry focused on Korea and Spain. Structural characteristics of industries were compared focusing on share, penetration, impact path and network clustering of smart industries. Research data used input-output tables established by Korea and Spain in 1995 and 2015, and industries were reclassified into 8 and 25 industries. The analysis model is the Smart SPIN Model. The key finding as follows: It was analyzed that there are differences in the structure and characteristics of the smart city industry between Korea and Spain. Firstly, It is analyzed that Korea has a larger share and penetration rate of IT manufacturing than Spain. On the other hands, Spain has a higher share and penetration rate in the IT service and knowledge service sectors than Korea. Secondly, Korea had many production paths for the IT service and the knowledge service. On the other hands, Spain included more production paths in the IT manufacturing sector. Thirdly, as a result of network analysis, Korea's smart industry has a characteristic that it is difficult to develop independently because it is dependent on traditional industries. In Spain, most of the smart industries were included in one industrial cluster, and it was analyzed to have an independent form. In conclusion, It was found that Korea has the industrial characteristics of a smart city based on IT manufacturing. Spain has the characteristics of smart city industry based on IT service and knowledge service. The results of this study are expected to provide basic data on the direction of smart city promotion and the establishment of smart city policies in Korea.

Examining the Urban Growth Process of the 1st New Town -Focusing on the Keyword Network Analysis of Newspaper Articles using Text Mining- (1기 신도시의 도시 성장 과정 고찰 - 텍스트마이닝을 이용한 신문기사의 키워드 네트워크 분석을 중심으로 -)

  • Jung, Da-Eun;Kim, Chung Ho
    • Journal of the Korean Regional Science Association
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    • v.39 no.4
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    • pp.91-110
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    • 2023
  • The purpose of this study is to explore urban issues that have arisen in the urban growth process of the 1st New Town for about 34 years since its construction through newspaper articles. For this purpose, newspaper articles related to the 1st New Town were collected using web crawling, and content analysis was conducted based on text mining. The main findings of the study are as follows. First, in the early stages of the construction of the 1st New Town, issues were diverse in the following six sectors: living service facilities, real estate, transportation, urban development and maintenance, safety, and housing supply, but gradually narrowed down to those of real estate and urban development and maintenance. Second, during the new town construction and urban stabilization stages, the network structure centered on 'Seoul' was maintained, which can be explained by the fact that the 1st New Town was geographically located on the outskirts of Seoul, and many articles compared the issues to Seoul. Third, the issue of urban aging appeared from the 10th year after construction, and the discussion on urban reorganization due to urban aging began in earnest from the 30th year after construction. The significance of the study is that it explored the urban issues that occurred throughout the urban growth process of the 1st New Town, and can be used as a basis for preparing a plan to reorganize the 1st New Town.

Spectral Efficiency of WRAN Spectrum Overlay in the TV White Space

  • Leem, Cha-Sik;Kim, Sang-Won;Kim, Chang-Joo;Kang, Sung-Chul;Lee, Jai-Yong
    • ETRI Journal
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    • v.30 no.6
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    • pp.871-873
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    • 2008
  • In this letter, we investigate the spectral efficiency of IEEE 802.22 wireless regional area network (WRAN) spectrum overlay when it is used in TV white space. Since 2004, when the FCC published the notice of proposed rule making 04-186 to make use of unused TV spectrum, the IEEE 802.22 working group has been standardizing specifications for WRAN operations. There have been a few papers investigating the spectral efficiency of this, but their analyses were limited to the cases for various guard distances between WRAN base stations. Since WRAN base station (BS) power for WRAN service may differ from country to country, it is important to analyze the spectral efficiency for various WRAN BS powers. In this letter, we analyze the spectral efficiency of WRAN spectrum overlay as a function of the power of WRAN BSs. The simulation results show that spectral efficiency decreases as the power of WRAN BSs and guard distances increase.

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Inflow Forecasting for Reservoir Operation using Artificial Neural Network with RDAPS (인공신경망과 RDAPS 자료를 이용한 유입량 예측)

  • Choi, Gi-An;Lee, Kyoung-Joo;Kim, Tae-Soon;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.23-26
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    • 2009
  • 효과적인 저수지 운영을 위해 가장 중요한 절차는 저수지 유입량을 적절하게 모의하는 것이다. 실시간 저수지 운영의 경우 기존의 물리적인 강우-유출현상에 기초한 수학적인 모형을 이용해서 유입량을 예측하는데 한계가 있으므로 인공신경망과 같이 자료의 특성에 기반한 모형이 효율적인 대안이 될 수 있다. 본 연구에서는 인공신경망(Artificial neural network, ANN)을 이용하여 실시간 저수지 운영을 위해 현재시간을 기준으로 3시간 후, 6시간 후, 9시간 후, 12시간 후의 유입량을 예측하였다. 본 연구의 대상지역은 한강수계의 화천댐 유역으로 기상청 수치예보자료인 RDAPS(Regional Data Assimilation and Prediction System)자료 중에서 강우예측자료를 사용하였다. RDAPS 강우예측자료를 이용한 예측값 결과와 비교하기 위해 지점 강우자료를 사용하였으며, 이 지점 강우자료는 화천댐 유역에 있는 AWS, 기상청, 국토해양부의 지점자료을 이용하였다. RDAPS 강우예측값만을 이용한 유입량 예측결과가 과거 12시간 강우 누적값을 이용한 유입량 예측값과 비슷한 정확도를 가지는 것을 알 수 있었으며, 자료의 효율적인 취득을 고려해야만 하는 실시간 운영의 경우, RDAPS 강우예측자료와 인공신경망을 이용한 모형이 충분히 효과적인 대안이 될 수 있음을 알 수 있다.

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Electricity Demand Forecasting based on Support Vector Regression (Support Vector Regression에 기반한 전력 수요 예측)

  • Lee, Hyoung-Ro;Shin, Hyun-Jung
    • IE interfaces
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    • v.24 no.4
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    • pp.351-361
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    • 2011
  • Forecasting of electricity demand have difficulty in adapting to abrupt weather changes along with a radical shift in major regional and global climates. This has lead to increasing attention to research on the immediate and accurate forecasting model. Technically, this implies that a model requires only a few input variables all of which are easily obtainable, and its predictive performance is comparable with other competing models. To meet the ends, this paper presents an energy demand forecasting model that uses the variable selection or extraction methods of data mining to select only relevant input variables, and employs support vector regression method for accurate prediction. Also, it proposes a novel performance measure for time-series prediction, shift index, followed by description on preprocessing procedure. A comparative evaluation of the proposed method with other representative data mining models such as an auto-regression model, an artificial neural network model, an ordinary support vector regression model was carried out for obtaining the forecast of monthly electricity demand from 2000 to 2008 based on data provided by Korea Energy Economics Institute. Among the models tested, the proposed method was shown promising results than others.

A Design and Implementation of Robot Control Policy for Domain Administration-Oriented Search Engine (로봇 제어 정책을 이용한 영역관리지향 검색시스템 설계 및 구현)

  • Park, Kyoo-Seok;Kim, Chang-Geun;Kim, Seong-Hoo;Kim, Il
    • Journal of Korea Multimedia Society
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    • v.2 no.1
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    • pp.1-8
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    • 1999
  • To provide information service with time constraints, it is required to support real-time information system for retrieval and update of distributed information. In this paper, we propose an information retrieval system model for internet. We design and implement a Domain Administration-Oriented search engine for the regional information network. Accordingly, an intelligent robot gathering and updating distributed information is implemented. And, in order to improves the performance of the system, a realtime robot control policy based on the loads of network and web server is proposed.

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