• 제목/요약/키워드: geographic characteristic

검색결과 116건 처리시간 0.024초

다목적실용위성 3호 Overlap 영역의 특성분석 (Characterizing Overlap Area of KOMPSAT-3)

  • 서두천;김희섭
    • 항공우주기술
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    • 제10권2호
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    • pp.154-162
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    • 2011
  • 다목적실용위성 3호는 고해상도 0.7m 흑백영상을 촬영할 수 있는 PAN 카메라와 2.8m 다중파장대의 칼라 영상을 수집할 수 있는 멀티스펙터럴 카메라를 탑재하고 있다. 이를 통하여 취득한 위성영상은 국토관리, 농업, 환경, 해양감시 및 GIS등의 광범위한 분야에 활용될 예정이다. 다목적실용위성3호의 15km의 관측폭을 가지는 영상을 생성하기 위해, 각 detector의 양 끝단의 20 pixel을 제외하고 24,020 픽셀로 구성된다. 이러한 크기의 CCD를 하나의 CCD로 구성하는 것은 매우 어렵기 때문에 다목적실용위성 3호는 12,080 픽셀로 구성된 두 detector로 구성되며, 따라서 두 detector의 기하학적 특성이 각기 다른 특징을 가지게 된다. 본 연구에서는 다목적실용위성3호의 한 밴드내의 기하학적 특성을 분석하기 위한 시뮬레이션 영상의 생성과정을 서술하고자 한다.

사회적 약자보호를 위한 국가인권보호 활동의 발전방향 -경찰의 치안대책을 중심으로- (A study of the police legislative system for the disadvantaged)

  • 황현락
    • 융합보안논문지
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    • 제12권2호
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    • pp.71-86
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    • 2012
  • 21세기 지식정보화시대에서는 그 특성상 다원화되고 양극화가 급속히 진행되어 사회의 여러 계층과 지역간 빈부간의 격차가 심화되어가는 경향이 있다. 여기서 나타나는 다양한 사회갈등은 정부 어느 한 부처의 독자적인 노력과 활동만으로는 지역사회의 다양한 치안문제에 효율적으로 대응하기 불가능하다. 지방화 분권화 민주화 등 다양한 사회변화에 대처하기 위해 경찰행정에 대한 주민과 지역 사회의 광범위한 참여와 협력이 무엇보다 중요하다. 특히 사회적 약자를 충분히 지키고 보호할 수 있기 위해서는 경찰의 치안대책 뿐만아니라 중앙정부나 지방자치단체 그리고 관련기관에서도 여러 가지 대안이 종합적으로 고려되어야한다. 소고에서는 보편적 인권의 역사적인 발전과정을 간단하게 살펴보고, 경찰업무와 관련하여 사회적 약자의 개념을 모색하고, 평소 경찰의 직무수행 중 나타나는 사회적 약자의 인권침해 실태 분석하고 문제점을 찾아 그에 합당한 해결책을 행정법제의 개선을 통해 모색해보았다.

An Interpretation of Archetypal Form of Byungyoung Castle in Ulsan City

  • Hong, Kwang-Pyo;Kim, Hyun-Sook
    • Journal of the Korean Institute of Landscape Architecture International Edition
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    • 제1호
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    • pp.89-101
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    • 2001
  • The purpose of this study ins to verify the characteristic location of Byungyoung Castle, physical type, inside spatial organization, and the scheme of Byungyoung Castle. The study utilizes historic literature, ancient maps related to Byungyoung Castle, topographical and cadastral maps which were published under the rule of Japanese Imperialism Castle, topographical and cadastral maps which were published under the rule of Japanese Imperialism and the topographical maps which were made recently by National Geographic Institute with various scales. The methodology of the study is to interpret the contents from the historic literature on the site map. The methodology of the study is to interpret the contents from the historic literature on the site map. The result of the study is as follows; Byungyoung Castle does duty as a defensive base for the entire country and has a specific character of location that has the dual function of a mountain fortress for national defense and of a village fortress for the town. Byungyoung Castle has four gates on four sides and has a oval shape very close to a circular form. The road construction inside the castle is composed basically of a cross shape. Byungyoung is located in the northwest area of this major road system. The private houses that lie along the north-south road are build up at the core area of the lower level and the town market built up around the south gate becomes the heart of life for the people. Schematically, it has the same pattern as regular village fortress, in that the houses for the guests and the houses for the public office are arranged to the east and the west. It is considered that there is certain functional parallel between Byungyoug Castle and Ulsan castle because there are no facilities for sacrificial rites no institutional budding.

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한국 대도시의 도시화 특성 : 이동, 통근자 자료 분석을 통한 도시화 단계의 실증적 검토 (Urbanization of Large Cities in Korea : Assessing Development Stages using Migration and Commuting data)

  • 권상철
    • 한국지역지리학회지
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    • 제17권5호
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    • pp.536-553
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    • 2011
  • 최근 산업도시 성장 이후 탈산업화 시대에 전개되는 새로운 도시화에 대한 논의가 포스트모던 도시, 소비도시 등으로 다양하게 전개된다. 도시화의 단계적 접근에서는 인구 변화와 이동에 기초하여 거대도시는 도시화의 후기 단계인 재도시화를 경험하고 있으며, 이러한 도시화 단계는 시차를 두고 점진적으로 하위 규모 도시에서 나타날 것으로 추정된다. 그러나 산업 재구조화는 인구 규모만으로는 포착되지 않는 새로운 도시화 특성을 유발할 것으로, 본 연구는 한국 대도시의 도시화 특성을 이동, 통근 인구 그리고 이들의 지리적, 사회적 특성에 기초하여 검토하였다. 대도시별 도시화 경험은 다르게 나타나는데, 서울은 단계적 도시화 과정을 거치지만, 다른 대도시들은 산업도시와 탈산업도시로의 전이에서 다양한 모습을 드러낸다. 특히, 지방 대도시의 경우 산업 기반의 교외화가 이루어졌으나 중심 도시의 편리한 주거, 생활 환경으로 중심 도시에 거주하며 주변으로 역통근하는 인구가 늘고 중장년층의 경제활동 가구가 대도시로 유입되며 주거 기능이 새로운 도시의 역할로 확대되는데, 이는 한국 대도시의 새로운 도시화 특성이라 하겠다.

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도시지역 마을만들기의 사례와 시사점 : 대구 삼덕동을 사례로 (Community Making in Urban Areas and the Implications : A Case of Samduck-Dong, Daegu City)

  • 윤옥경
    • 한국지역지리학회지
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    • 제14권5호
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    • pp.466-479
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    • 2008
  • 본 연구에서는 도시지역에서 이루어지는 마을만들기의 특징과 시사점을 도출하고자, 대구 삼덕동의 마을만들기 사례에 대해 조사하였다. 대구 삼덕동의 지리적 특징을 파악하고, 삼덕동의 마을만들기 사업의 배경과 전개 과정을 고찰할 뿐 아니라, 이 사업에 대한 삼덕등 주민들의 관심과 반응을 통해 도시 지역 마을만들기 사업의 의의와 시사점을 찾아보았다. 삼덕동은 도심에 인접하여 접근성이 좋고 주변 환경 등으로 인해 통근을 위한 주거지로서의 매력이 있는 지역이다. 그러나 점차 상업기능이 강화되고 기존 주택이 원룸으로 전환되면서 마을만들기를 통한 공동체 형성에 어려움이 예상된다. '담장 허물기'에서 시작된 삼덕동 마을만들기는 지속적으로 다양한 사업들이 발굴되고 있으며 마을만들기와 관련된 장소들은 상덕동만의 특색으로 자리매김되고 있다. 그러나 사업의 대상과 범위 등에 대한 삼덕동 주민들의 인식의 공유와 참석의 과제를 남겨두고 있다 하겠다.

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Landslide susceptibility assessment using feature selection-based machine learning models

  • Liu, Lei-Lei;Yang, Can;Wang, Xiao-Mi
    • Geomechanics and Engineering
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    • 제25권1호
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    • pp.1-16
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    • 2021
  • Machine learning models have been widely used for landslide susceptibility assessment (LSA) in recent years. The large number of inputs or conditioning factors for these models, however, can reduce the computation efficiency and increase the difficulty in collecting data. Feature selection is a good tool to address this problem by selecting the most important features among all factors to reduce the size of the input variables. However, two important questions need to be solved: (1) how do feature selection methods affect the performance of machine learning models? and (2) which feature selection method is the most suitable for a given machine learning model? This paper aims to address these two questions by comparing the predictive performance of 13 feature selection-based machine learning (FS-ML) models and 5 ordinary machine learning models on LSA. First, five commonly used machine learning models (i.e., logistic regression, support vector machine, artificial neural network, Gaussian process and random forest) and six typical feature selection methods in the literature are adopted to constitute the proposed models. Then, fifteen conditioning factors are chosen as input variables and 1,017 landslides are used as recorded data. Next, feature selection methods are used to obtain the importance of the conditioning factors to create feature subsets, based on which 13 FS-ML models are constructed. For each of the machine learning models, a best optimized FS-ML model is selected according to the area under curve value. Finally, five optimal FS-ML models are obtained and applied to the LSA of the studied area. The predictive abilities of the FS-ML models on LSA are verified and compared through the receive operating characteristic curve and statistical indicators such as sensitivity, specificity and accuracy. The results showed that different feature selection methods have different effects on the performance of LSA machine learning models. FS-ML models generally outperform the ordinary machine learning models. The best FS-ML model is the recursive feature elimination (RFE) optimized RF, and RFE is an optimal method for feature selection.

비핵화 대상 시설 운반 분석 (Transport Analysis of Facilities Subject to Denuclearization)

  • 한지영;전여령;김용민
    • 한국방사선학회논문지
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    • 제15권6호
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    • pp.833-839
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    • 2021
  • 한반도 비핵화 가능성이 언급되고 있는 상황에서 지리적, 언어적 이점을 고려할 때 한국의 역량을 키워 비핵화 검증에 참여 의지를 나타낼 필요가 있다. 문헌 조사를 통해 북한의 비핵화 대상 시설의 정보 및 현황을 파악하고 주요 비핵화 대상 시설이 위치한 영변 핵단지의 기후 환경, 지리 특성, 교통 여건 등 환경 분석을 수행하였다. 또한, 주요 비핵화 대상 시설인 영변 핵단지의 비핵화 검증을 위한 인력 및 기기의 운반을 위한 시나리오 개발을 위한 접근성 분석을 수행하였다. 접근성 분석은 항공, 항만, 차량 운반으로 구분하여 수행하였으며, 경로별 거리, 예상 소요시간, 경유 도로 등을 분석하였다. 이 과정에서 차량 운반 시나리오의 적합성을 확인할 수 있었으며, 운반 과정에 영향을 미칠 수 있는 인자들과 북한의 상세 도로 현황을 확인하였다. 후속 연구를 통해 최적의 운반 시나리오를 개발하고자 한다.

종 분포 모형을 이용한 국내 고병원성 조류인플루엔자 발생 위험지역 추정 (Application of Species Distribution Model for Predicting Areas at Risk of Highly Pathogenic Avian Influenza in the Republic of Korea)

  • 김으뜸;박선일
    • 한국임상수의학회지
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    • 제36권1호
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    • pp.23-29
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    • 2019
  • While research findings suggest that the highly pathogenic avian influenza (HPAI) is the leading cause of economic loss in Korean poultry industry with an estimated cumulative impact of $909 million since 2003, identifying the environmental and anthropogenic risk factors involved remains a challenge. The objective of this study was to identify areas at high risk for potential HPAI outbreaks according to the likelihood of HPAI virus detection in wild birds. This study integrates spatial information regarding HPAI surveillance with relevant demographic and environmental factors collected between 2003 and 2018. The Maximum Entropy (Maxent) species distribution modeling with presence-only data was used to model the spatial risk of HPAI virus. We used historical data on HPAI occurrence in wild birds during the period 2003-2018, collected by the National Quarantine Inspection Agency of Korea. The database contains a total of 1,065 HPAI cases (farms) tied to 168 unique locations for wild birds. Among the environmental variables, the most effective predictors of the potential distribution of HPAI in wild birds were (in order of importance) altitude, number of HPAI outbreaks at farm-level, daily amount of manure processed and number of wild birds migrated into Korea. The area under the receiver operating characteristic curve for the 10 Maxent replicate runs of the model with twelve variables was 0.855 with a standard deviation of 0.012 which indicates that the model performance was excellent. Results revealed that geographic area at risk of HPAI is heterogeneously distributed throughout the country with higher likelihood in the west and coastal areas. The results may help biosecurity authority to design risk-based surveillance and implementation of control interventions optimized for the areas at highest risk of HPAI outbreak potentials.

Application of Statistical and Machine Learning Techniques for Habitat Potential Mapping of Siberian Roe Deer in South Korea

  • Lee, Saro;Rezaie, Fatemeh
    • Proceedings of the National Institute of Ecology of the Republic of Korea
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    • 제2권1호
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    • pp.1-14
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    • 2021
  • The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.

Archipeligiality as a Southeast Asian Poetic in Cirilo F. Bautista's Sunlight on Broken Stones

  • Sanchez, Louie Jon A.
    • 수완나부미
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    • 제6권1호
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    • pp.193-221
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    • 2014
  • Archipeligiality, a concept continuously being developed by the scholar, is one that attempts to articulate the Filipino sense of place as discoursed in/through its literatures. As a country composed of 7,107 islands, the very fragmentation and division of the country, as well as its multiculturality and multilinguality, have become the very means by which Filipino writers have "imagined" so to speak-that is, also, constructed, into a singular, united frame-the "nation." This, the author supposes, is an important aspect to explore when it comes to discoursing the larger Southeast Asian imagination, or poetic, as similar situations (i.e. Indonesia, Malaysia, and Singapore), may soon compel for a comparative critico-literary perspective. This paper continues this exploratory "geoliterary" discourse by looking at a Filipino canonical work in English by Cirilo F. Bautista, the epic The Trilogy of Saint Lazarus, the title of which already signals a geographic allusion to the first map-name granted by the Spanish colonizer to the Philippines in the region, and consequently the first signification of the country's subjected existence in the colonial imagination. The work, published between 1970 and 1998, is composed of three parts: The Archipelago, Telex Moon, and Sunlight on Broken Stones, which won the 1998 Philippine Independence Centennial Literary Prize. In these epics, notions of Philippine history and situation were discoursed, and Filipino historical figures were engaged in dialogue by the poet/the poet's voice, with the end of locating the place [where history and time had brought it; or its direction or trajectory as a nation, being true to the Filipino maxim of ang di lumingon sa pinanggalingan, di makararating sa paroroonan (the one who does not look back to his origins would not reach his destination)]. of the Philippines not only in the national imagination, but in this paper, in the wider regional consciousness. The paper proposes that the archipelagic concept is an important and unique characteristic of the Southeast Asian situation, and thus, may be a means to explicate the clearly connected landscapes of the region's imagination through literature. This paper focuses on Sunlight on Broken Stones.

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