• 제목/요약/키워드: Local mapping

검색결과 367건 처리시간 0.028초

협업을 위한 XMDR-DSM 시스템 설계에 관한 연구 (A Study on XMDR-DSM System Design for Cooperative)

  • 문석재;정계동;최영근
    • 정보처리학회논문지D
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    • 제16D권5호
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    • pp.701-714
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    • 2009
  • 서비스 기반의 전사적 데이터 통합은 기업 변화의 가속화에 따른 통합적인 데이터 관리가 필요하다. 기업 간 협업은 비즈니스 프로세스를 이용하여 분산된 데이터베이스들에 접근하여 이루어진다. 이러한 접근은 글로벌 쿼리 기반으로 수행되기 때문에 이기종간의 상호운용을 위해서 데이터 이질성, 스키마 이질성, 유효성 검증과 같은 문제가 선결되어야 한다. 따라서 협업은 동적이면서 신뢰성 있는 구조를 갖추어야 한다. 본 논문에서는 협업을 위한 XMDR-DSM(eXtended MetaData Registry-Data Service Mediator) 시스템을 제안한다. XMDR-DSM은 XMDR-DS와 XMDR-DQP, XMDR-DAI로 구성되어 글로벌 스키마와 로컬 스키마간의 매핑을 지원해주고, 데이터 접근 및 통합 서비스를 제공한다. 따라서 이기종 데이터베이스 상호간의 업무 지원이 가능하게 하고, 정보를 재활용 가능한 자산으로 확보할 수 있는 이점과 교환의 표준화를 제시할 수 있다. 그리고 워크플로우 기반의 비즈니스 프로세스 제공할 수 있으므로 일원화된 정보를 관리할 수 있게 된다. 따라서 정보 수명을 증대하고 비용절감을 할 수 있게 된다.

National and Regional Spatial Data Infrastructure(NSDI & RSDI) and National Cartographic Center of Iran's Activities about it

  • Baktash, Peyman
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.60-62
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    • 2003
  • The concept of a Spatial Data Infrastructure (SDI) has emerged globally to facilitate the transit of spatial information from data producers to a vast and ever-growing community of users. SDI have become very important in determining the way in which spatial data are used throughout an organization, a nation, different regions, and the world. SDI is an initiative intended to create an environment in which all stakeholders can cooperate with each other and interact with technology, to better achieve their objectives at different political / administrative levels. Islamic Republic of Iran began her participation in the Global map project and SDI activities in 1998. In this related, National Cartographic Center (NCC), as the representative of Iran, started the job with identifying the suitable sources of data for creation of those layers stated in the specifications of Global Mapping. NCC started making GIS Users Councils (National & Provincial Councils) for the making National SDI and Local SDI too. Now, NCC is doing some activities to joining its National SDI to Regional and Global SDI. This paper in first section, discuss about SDI as basic point in Information Technology (IT). In second section, SDI situation in IRAN and National Cartographic Center’s roles in realization of future scope of RSDI and GSDI is discussed. (NCC is one of the greatest Map Producer organizations in IRAN). The way that be applied, is analyzing of fundamental points especially Sustainable development, IT and SDI and their complementing policy in Information Society. These include some applications in National, Regional and Global levels.

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지리정보시스템 기반의 고병원성 조류인플루엔자 발생 위험지도 구축 (A GIS-Based Mapping to Identify Locations at Risk for Highly Pathogenic Avian Influenza Virus Outbreak in Korea)

  • 이경주;박선일
    • 한국임상수의학회지
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    • 제34권2호
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    • pp.146-151
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    • 2017
  • Six major outbreaks of highly pathogenic avian influenza (HPAI) occurred from 2003 to 2016 in Korea. Epidemiological investigations of each outbreak revealed that migratory birds were the primary source of the HPAI virus. During the last five years, the geographic transmission pattern of domestic HPAI seems to have extended from local to nationwide; therefore, it is necessary to identify specific locations in which poultry farms are at elevated risk for HPAI outbreak to enable targeted surveillance and other mitigation strategies. Here, a geographical information system (GIS)-based analysis was used to identify geographic areas at high risk for future HPAI incidents in Korea based on historical outbreak data collected between December 2003 and April 2016. To accomplish this, seven criteria were used to identify areas at high-risk for HPAI occurrence. The first three criteria were based on defined spatial criteria buffering of 200 bird migration sites to some defined extents and the historical incidence of HPAI outbreaks at the buffering sites. The remaining criteria were based on combined attribute information such as number of birds or farms at district levels. Based on the criteria established for this study, the most-likely areas at higher risk for HPAI outbreak were located in Chungcheong, Jeolla, Gyeonggi, and Gyeongnam provinces, which are densely populated poultry regions considered major poultry-production areas that are located along bird migration sites. The proportion of areas at risk for HPAI occurrence ranged from 4.5% to 64.9%. For the worst criteria, all nine provinces, including Jeju Island, were found to be at risk of HPAI. The results of this study indicate that the number of poultry farms at risk for HPAI outbreaks is largely underestimated by current regulatory risk assessment procedures conducted for biosecurity authorization. The HPAI risk map generated in this study will enable easy use of information by policy makers to identify surveillance zones and employ targeted surveillance to reduce the impact of HPAI transmission.

황칠나무의 집단구조와 치수의 발생과 생육동태 및 공간분포 (Population Structure, and Emergence and Growth Dynamics of Seedling, and Spatial Distribution of Dendropanax morbifera Lev.(Araliaceae))

  • 정재민
    • 한국자원식물학회지
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    • 제11권3호
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    • pp.345-352
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    • 1998
  • A Korean endemic and evergreen small tree ' Dendropanax morbifera $L_{EV}$.(Araliaceae)' is a component of evergreen forest and mainly idstributein sourthern region and islands in Korea. A local population of D. morbifera which is located between evergreen and deciduous forest within 50m x 50m quadrate was investigated to ascertain the change of population structure, emergence and growth dynamics of seedlings and saplings, and pattern of spatial distribution by the temproal and spatial expansion of population . The result of analysis of population structure by Importnace Value(IV), evergreen forest showed a high species diversity of evergreen tree species such as Cinnamomum japonicum, Machilus japonica, Neolitsea serica, Daphniphyllum macropodum, Ligustrum japonicum, and etc, in middle and under story than in upper story where Camelia japonica and Quercus acuta were dominant. And in conterminous deciduous fores, the major component of evergreen forest in this region, Camellia japonica, Quercus acuta, evergreen tree of Lauraceae and etc. were abundant in only under story. IV of D. morbifera differed from among three story. In comparative analysis of emergence and growth dynamics of D. morbifera seedlings and saplings between evergreen and deciduous forest, emergece and density of seedlings were significantly greater in evergreen than in deciduous forest, and growth of height and basal diameter of seedlings and saplings were slightly larger in evergreen than in deciduous forest. The spatial distribution patterns by Moristia's index mapping of indivuduals using a lattice method of XY axis within this population showed that seedlings(age up to 2 years) and saplings (age>2 years and height<1m) both evergreen and deciduous forest were more or less aggregated apart from mature trees, and thougth intermediate trees(height>1m and dbh<10cm) had a aggregated distribution pattern, mature trees(dbh>10cm were uniform. In conclusion , the expansion of D. morbfera population from evergreen to deciduous forest accompanied with a mumber of evergreen woody species, and also, emergence and recruitment, and growth of seedlings were greatly influenced moisture and canopy by around community structure.

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Understanding Neurogastroenterology From Neuroimaging Perspective: A Comprehensive Review of Functional and Structural Brain Imaging in Functional Gastrointestinal Disorders

  • Kano, Michiko;Dupont, Patrick;Aziz, Qasim;Fukudo, Shin
    • Journal of Neurogastroenterology and Motility
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    • 제24권4호
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    • pp.512-527
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    • 2018
  • This review provides a comprehensive overview of brain imaging studies of the brain-gut interaction in functional gastrointestinal disorders (FGIDs). Functional neuroimaging studies during gut stimulation have shown enhanced brain responses in regions related to sensory processing of the homeostatic condition of the gut (homeostatic afferent) and responses to salience stimuli (salience network), as well as increased and decreased brain activity in the emotional response areas and reduced activation in areas associated with the top-down modulation of visceral afferent signals. Altered central regulation of the endocrine and autonomic nervous responses, the key mediators of the brain-gut axis, has been demonstrated. Studies using resting-state functional magnetic resonance imaging reported abnormal local and global connectivity in the areas related to pain processing and the default mode network (a physiological baseline of brain activity at rest associated with self-awareness and memory) in FGIDs. Structural imaging with brain morphometry and diffusion imaging demonstrated altered gray- and white-matter structures in areas that also showed changes in functional imaging studies, although this requires replication. Molecular imaging by magnetic resonance spectroscopy and positron emission tomography in FGIDs remains relatively sparse. Progress using analytical methods such as machine learning algorithms may shift neuroimaging studies from brain mapping to predicting clinical outcomes. Because several factors contribute to the pathophysiology of FGIDs and because its population is quite heterogeneous, a new model is needed in future studies to assess the importance of the factors and brain functions that are responsible for an optimal homeostatic state.

SEOUL NATIONAL UNIVERSITY AGN MONITORING PROJECT. I. STRATEGY AND SAMPLE

  • Woo, Jong-Hak;Son, Donghoon;Gallo, Elena;Hodges-Kluck, Edmund;Jeon, Yiseul;Shin, Jaejin;Bae, Hyun-Jin;Cho, Hojin;Cho, Wanjin;Kang, Daeun;Kang, Wonseok;Karouzos, Marios;Kim, Minjin;Kim, Taewoo;Le, Huynh Anh N.;Park, Daeseong;Park, Songyoun;Rakshit, Suvendu;Sung, Hyun-il
    • 천문학회지
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    • 제52권4호
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    • pp.109-119
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    • 2019
  • While the reverberation mapping technique is the best available method for measuring black hole mass in active galactic nuclei (AGNs) beyond the local volume, this method has been mainly applied to relatively low-to-moderate luminosity AGNs at low redshift. We present the strategy of the Seoul National University AGN Monitoring Project, which aims at measuring the time delay of the $H{\beta}$ line emission with respect to AGN continuum, using a sample of relatively high luminosity AGNs out to redshift z ~ 0.5. We present simulated cross correlation results based on a number of mock light curves, in order to optimally determine monitoring duration and cadence. We describe our campaign strategy based on the simulation results and the availability of observing facilities. We present the sample selection, and the properties of the selected 100 AGNs, including the optical luminosity, expected time lag, black hole mass, and Eddington ratio.

"아시아인 건강을 위한 한국인 게놈" : 한국인 유전체 프로젝트의 상업화 전략 ("The Korean Genome for Asian Health": A Commercialization Strategy of the Korean Genome Projects)

  • 현재환
    • 과학기술학연구
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    • 제19권2호
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    • pp.117-167
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    • 2019
  • 인간 유전체 프로젝트의 초안 발표 이후 여러 한국인 유전체 프로젝트들이 추진되었다. 그 결과 등장한 한국인 유전체를 둘러싼 흥미로운 담론 중 하나는 "한국인 유전체" 서열 분석을 통해 "아시아인 맞춤의학"을 구현할 수 있다는 주장이다. 본 논문은 이를 한국 유전체 학자들이 자국민에 대한 유전체 자료를 상업화하려는 노력 가운데 발전시킨 전략으로 인지하고, 이 "아시아인 건강을 위한 한국인 게놈" 전략이 출현하게 된 배경을 역사적으로 검토한다. 이 글은 한국 유전체 프로젝트들의 전략이 탈식민 국가들에서 빈번하게 발견되는 "유전체 주권"(genome sovereignty) 정책이 2000년대 초반 이후 한국에서 주요 정책 의제로 부상한 아시아 지역주의와 결합하여 등장한 산물이라고 주장한다. 이를 통해 이 연구는 그간 범아시아 SNP 컨소시엄(Pan-Asian Single Nucleotide Polymorphism Consortium)을 중심으로 논의된 유전체학과 아시아인의 구성에 관한 과학기술학 연구가 국소적인 아시아인 관념과 아시아 지역주의를 가진 싱가포르의 경험을 지나치게 일반화해왔음을 지적한다. 이와 함께 한국 유전체학 거버넌스에서 과학기술학자들이 맡을 수 있는 역할에 대해서도 고민해 볼 기회를 제공할 것이다.

Spatial and temporal dynamic of land-cover/land-use and carbon stocks in Eastern Cameroon: a case study of the teaching and research forest of the University of Dschang

  • Temgoua, Lucie Felicite;Solefack, Marie Caroline Momo;Voufo, Vianny Nguimdo;Belibi, Chretien Tagne;Tanougong, Armand
    • Forest Science and Technology
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    • 제14권4호
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    • pp.181-191
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    • 2018
  • This study was carried out in the teaching and research forest of the University of Dschang in Belabo, with the aim of analysing land-cover and land-use changes as well as carbon stocks dynamic. The databases used are composed of three Landsat satellite images (5TM of 1984, 7ETM + of 2000 and 8OLI of 2016), enhanced by field missions. Satellite images were processed using ENVI and ArcGIS software. Interview, focus group discussion methods and participatory mapping were used to identify the activities carried out by the local population. An inventory design consisting of four transects was used to measure dendrometric parameters and to identify land-use types. An estimation of carbon stocks in aboveground and underground woody biomass was made using allometric models based on non-destructive method. Dynamic of land-cover showed that the average annual rate of deforestation is 0.48%. The main activities at the base of this change are agriculture, house built-up and logging. Seven types of land-use were identified; adult secondary forests (64.10%), young secondary forests (7.54%), wetlands (7.39%), fallows (3.63%), savannahs (9.59%), cocoa farms (4.28%) and mixed crop farms (3.47%). Adult secondary forests had the highest amount of carbon ($250.75\;t\;C\;ha^{-1}$). This value has decreased by more than 60% for mixed crop farms ($94.67\;t\;C\;ha^{-1}$), showing the impact of agricultural activities on both forest cover and carbon stocks. Agroforestry systems that allow conservation and introduction of woody species should be encouraged as part of a participatory management strategy of this forest.

도로 자산관리를 위한 상태 모니터링 및 경제성 분석 : 세종시를 중심으로 (Infrastructure Health Monitoring and Economic Analysis for Road Asset Management : Focused on Sejong City)

  • 최승현;박정권;도명식
    • 한국ITS학회 논문지
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    • 제20권4호
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    • pp.71-82
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    • 2021
  • 본 연구에서는 세종시 포장도로 구간을 대상으로 모바일매핑시스템(MMS)과 딥러닝 균열 감지시스템을 활용한 도로포장 모니터링 방안을 제시하고 경제성 분석을 통한 최적 유지보수 공법을 제시하였다. 나아가, 기존 대부분의 연구에서는 도로포장 조사 차량에 의해 취득된 데이터를 활용한 사례가 대부분이었으나 본 연구에서는 직접 모니터링 조사를 통해 취득한 도로 포장 상태등급을 기준으로 경제성 분석을 실시하였다. 도로포장 상태 모니터링 결과 일반국도, 시도, 지방도의 순서대로 도로포장 상태가 양호한 것을 확인하였다. 또한 포장파손모델을 활용한 경제성 분석 결과, 예방적 유지보수공법인 마이크로서페이싱 공법을 적용하는 것이 유지보수비용과 이용자 편익 측면에서 가장 경제적인 것으로 나타났다. 본 연구의 성과는 지자체의 기반시설 관리계획 수립을 위한 기초적 자료로 활용될 것으로 기대된다.

베이지안 예측모델을 활용한 농업 및 인공 인프라의 산사태 재해 위험 평가 (Landslide Risk Assessment of Cropland and Man-made Infrastructures using Bayesian Predictive Model)

  • 알-마문;장동호
    • 한국지형학회지
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    • 제27권3호
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    • pp.87-103
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    • 2020
  • The purpose of this study is to evaluate the risk of cropland and man-made infrastructures in a landslide-prone area using a GIS-based method. To achieve this goal, a landslide inventory map was prepared based on aerial photograph analysis as well as field observations. A total of 550 landslides have been counted in the entire study area. For model analysis and validation, extracted landslides were randomly selected and divided into two groups. The landslide causative factors such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in the analysis. Moreover, to identify the correlation between landslides and causative factors, pixels were divided into several classes and frequency ratio was also extracted. A landslide susceptibility map was constructed using a bayesian predictive model (BPM) based on the entire events. In the cross validation process, the landslide susceptibility map as well as observation data were plotted with a receiver operating characteristic (ROC) curve then the area under the curve (AUC) was calculated and tried to extract a success rate curve. The results showed that, the BPM produced 85.8% accuracy. We believed that the model was acceptable for the landslide susceptibility analysis of the study area. In addition, for risk assessment, monetary value (local) and vulnerability scale were added for each social thematic data layers, which were then converted into US dollar considering landslide occurrence time. Moreover, the total number of the study area pixels and predictive landslide affected pixels were considered for making a probability table. Matching with the affected number, 5,000 landslide pixels were assumed to run for final calculation. Based on the result, cropland showed the estimated total risk as US $ 35.4 million and man-made infrastructure risk amounted to US $ 39.3 million.