• Title/Summary/Keyword: 공간적 능력

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Spatio-Temporal Changes and Characteristics of Households Failing to Meet the New Minimum Housing Standard in Seoul Metropolitan(1995~2010) (서울시 최저주거기준 미달가구의 시.공간적 특성과 변화(1995~2010년))

  • Kim, Yongchang;Choi, Eunyoung
    • Journal of the Korean Geographical Society
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    • v.48 no.4
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    • pp.509-532
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    • 2013
  • Minimum Housing Standard is an instrument to cope with the problems of public health and community hygiene, deterioration of working class housing conditions appeared commonly in the process of capitalist industrialization and rapid rural-to-urban migration. This paper aims to examine the institutionalization of histories of minimum housing standard in the advanced countries, and analyze the spatio-temporal changes and characteristics of households failing to meet the New Minimum Housing Standard in Seoul Metropolitan since 1995. The analysis of this paper is based on the census data on population and housing. The results are as follows; Households failing to meet the New Minimum Housing Standard in Seoul are 501,000 households(1.368 million person, 14.4%). This means Seoul has overtaken the national average 11.8% for the first time and there are structurally marginal band of households who can not improve the housing conditions by themselves. In addition, the fact that the rate of Seoul households living in the marginal shelter including the basement and rooftop room is the highest in Korea means the housing quality issues of Seoul is serious. Spatial distribution of households failing to meet the standard is divided into the northeast area and the southwest area in Seoul. Main features of the households are female-headed families, middle and old-aged people, divorce families, lower educated people, under and graduate students, non-apartments, dweller in 15~20 year old houses.

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Detection Ability of Occlusion Object in Deep Learning Algorithm depending on Image Qualities (영상품질별 학습기반 알고리즘 폐색영역 객체 검출 능력 분석)

  • LEE, Jeong-Min;HAM, Geon-Woo;BAE, Kyoung-Ho;PARK, Hong-Ki
    • Journal of the Korean Association of Geographic Information Studies
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    • v.22 no.3
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    • pp.82-98
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    • 2019
  • The importance of spatial information is rapidly rising. In particular, 3D spatial information construction and modeling for Real World Objects, such as smart cities and digital twins, has become an important core technology. The constructed 3D spatial information is used in various fields such as land management, landscape analysis, environment and welfare service. Three-dimensional modeling with image has the hig visibility and reality of objects by generating texturing. However, some texturing might have occlusion area inevitably generated due to physical deposits such as roadside trees, adjacent objects, vehicles, banners, etc. at the time of acquiring image Such occlusion area is a major cause of the deterioration of reality and accuracy of the constructed 3D modeling. Various studies have been conducted to solve the occlusion area. Recently the researches of deep learning algorithm have been conducted for detecting and resolving the occlusion area. For deep learning algorithm, sufficient training data is required, and the collected training data quality directly affects the performance and the result of the deep learning. Therefore, this study analyzed the ability of detecting the occlusion area of the image using various image quality to verify the performance and the result of deep learning according to the quality of the learning data. An image containing an object that causes occlusion is generated for each artificial and quantified image quality and applied to the implemented deep learning algorithm. The study found that the image quality for adjusting brightness was lower at 0.56 detection ratio for brighter images and that the image quality for pixel size and artificial noise control decreased rapidly from images adjusted from the main image to the middle level. In the F-measure performance evaluation method, the change in noise-controlled image resolution was the highest at 0.53 points. The ability to detect occlusion zones by image quality will be used as a valuable criterion for actual application of deep learning in the future. In the acquiring image, it is expected to contribute a lot to the practical application of deep learning by providing a certain level of image acquisition.

Model testing of leakage effect due to multi-cell inflater of rapid protection system in subsea tunnel (해저터널 급속차폐시스템의 Inflater 분할구조에 따른 터널 내 차수효율에 대한 실험적 연구)

  • Yoo, Kwang-San;Lee, Ji-Hyun;Kim, Yeon-Deok;Kim, Sang-Hwan
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.17 no.3
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    • pp.295-303
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    • 2015
  • This paper presents the study of leakage effect due to multi-cell inflater of rapid protection system to protect the possibilities of tunnel damages by flooding threats and unusual leakage to be occurred during and after subsea tunnel construction. Particularly, this protect system should be necessary in subsea tunnel. This research concentrates the physical model tests due to several multi-cell inflater to study protection capacity of leakage between the inflater and tunnel liner. A 27:1 small scale model are used in the model tests. The leakage rate, water pressure and axial displacement of inflater are measured during the model tests. According to the results, the minium leakage rate clearly shows in the case of two-cell inflater compared with in other cases. It is concluded that the results of this research will be very useful to understand the fundamental information of inflater structure design and development the technology of tunnel protection structures in the future.

The Instructional Effect of Varying Visuals in Drawing and Writing Applied to Learning with Multiple Representations (다중 표상 학습에 적용한 그리기와 쓰기에서 시각정 정보의 형태에 따른 교수 효과)

  • Kang, Hun-Sik;Lee, Sung-Mi;Noh, Tae-Hee
    • Journal of The Korean Association For Science Education
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    • v.26 no.3
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    • pp.367-375
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    • 2006
  • This study investigated the effects of varying visuals in drawing and writing as methods to assist students in connecting and integrating multiple external representations provided in learning the particulate nature of matter. Seventh graders (N=233) at a coed middle school were assigned to control, static drawing (SO), dynamic drawing (DD), static writing (SW), and dynamic writing (DW) groups. The students were taught about "Boyle's Law" and "Charles's Law" for two class periods. Two-way ANCOVA results revealed that the scores of a conception test for the two drawing (SD, DD) groups and the two writing (SW, DW) groups were significantly higher than those for the control group. Within the writing groups, students of lower spatial visualization ability in the DW group scored significantly higher than those in the SW group. However, no significant differences were found in the scores of the conception test for the two drawing (SD, DD) groups regardless of students' visualization ability. Researchers also found that most students in both DD and DW groups had respectively positive perceptions of dynamic visuals in drawing or writing.

Development of an Adaptive Capacity Indicator to Climate Change in the Agricultural Water Sector (농업용수의 기후변화 적응능력 지표 개발 - 가뭄에 대한 적응을 중심으로 -)

  • Yoo, Ga-Young;Kim, Jin-Teak;Kim, Jung-Eun
    • Journal of Environmental Policy
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    • v.7 no.4
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    • pp.35-55
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    • 2008
  • Assessing vulnerability to climate change is the first step to take when setting up appropriate adaptation strategies. Adaptive capacity to climate change is the important factor comprising vulnerability. An adaptive capacity index in agricultural water management system was developed considering agricultural water supply and demand for rice production in Jeolla-do, Korea. The agricultural water supply was assumed to be equal to the amount of water stored in the major agricultural reservoirs, while data on the agricultural water demand was obtained from the dynamic simulation results by Korea Agriculture Corporation(KAC). The spatial unit for analysis was conducted at the county(Si, Gun, Gu) level and temporal scale was based on every month from 1991-2003. Adaptive capacity for drought stress index(ACDS index) was calculated as the percentage of data points where the irrigated water supply was greater than the crop water demand. The ACDS index was compared with SWSCI(Standard Water Storage Capacity Index) and the relationship showed high degree of fit($R^2$=0.84) using the exponential function, indicating that the developed ACDS index is useful for evaluating the status of the balance between agricultural water supply and demand, especially for the small sized agricultural reservoirs. This study provided the methodological basis for developing climate change vulnerability index in agricultural water system which is projected to be more frequently exposed to drought condition in the future due to climate change. Further research should be extended to the study on the water demand of the crops other than rice and to the projection of the change in ACDS index in the future.

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A Study on an Effective Operation of Crimes Against Children (아동대상범죄 예방을 위한 실효적 방안에 관한 연구)

  • Lee, Eun-Young
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2016.11a
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    • pp.339-342
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    • 2016
  • 본 논문에서는 아동은 성인에 비하여 신체적 정신적으로 미성숙하며, 특히 범죄에 있어서는 스스로 대응할 수 있는 능력이 부족한 존재로서 우리 사회 전체가 함께 협력하여 범죄로부터 최우선으로 보호하여야 할 대상이다. 그리나 최근 아동을 대상으로 하는 강력범죄 및 학교 내외에서 발생하는 범죄들이 지속적으로 증가하면서 해마다 이에 대한 대안 및 정책들이 쏟아져 나오고 있다. 아동들은 주로 학교나 통학로, 주거지를 비롯한 주요 활동범위 내에서 범죄 피해를 당한다. 이러한 범죄의 피해를 예방하기 위해 도입된 '환경설계를 통한 범죄예방 기법 (CPTED)'은 도입 초기에 기대와는 달리 지역사회와의 고립이 초래되고, 일률적인 학교 시설 내에 CPTED가 범죄의 사각지대를 만드는 등의 부작용이 초래되고 있다. 또한 지역사회의 아동대상범죄 예방활동 역시도 지역 내 소통부재 및 예산확보 문제 등으로 지역 내 시설의 차별이 생기기도 하며, 제대로 된 범죄 예방활동이 이루어지지 못하고 있는 실정이다. 이에 본고에서는 CPTED의 가이드라인 제정 및 공간의 차이를 통한 다양한 기법의 적용방법을 모색하여 학교 내 시설에서의 아동대상범죄를 예방하고, 전 세계적 추세의 통한 아동안전친화도시 조성을 위한 조례제정 및 기본원칙을 제언하고자 한다.

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Applicability of reliability indices for water distribution networks using system performance measurements (다중 성능지표를 활용한 상수관망시스템의 신뢰도 지수 적용성 평가)

  • Jeong, Gimoon;Kang, Doosun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.90-90
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    • 2020
  • 상수관망시스템은 관할 지역 내 생활 및 공업용수를 공급하기 위한 사회기반시설물로써, 비상시에도 사용자의 용수 수요를 충족하기 위한 안정적인 성능이 요구된다. 이러한 상수관망시스템의 용수공급능력은 비상시 용수공급가능량, 공급수압 등 여러 가지 수리해석 결과를 통해 판단할 수 있다. 그러나, 시스템의 설계 및 운영 과정에서 다양한 성능들을 시간·공간적으로 모두 고려하는 것은 매우 복잡한 과정을 거치므로, 복합적인 용수공급 성능을 집약적으로 평가하기 위한 신뢰도 지수들이 개발되었다. 여기서 신뢰도 지수들은 각각의 이론적 접근방법에 따라 시스템의 특정 성능에 다소 편중된 평가 결과를 갖는 것으로 알려져 있으며, 따라서 상수관망시스템의 설계 및 운영 시, 목적과 특성에 맞는 적합한 신뢰도 지수를 선정하고, 적용하기 위한 분석이 필요하다. 본 연구에서는 상수관망시스템의 구조적 특성 및 핵심 성능에 따른 신뢰도 지수별 적용성을 평가하기 위해, 다양한 형태의 네트워크에서 몇 가지 공급부하 시나리오를 바탕으로 수리해석 결과와 신뢰도 지수 간의 상관성을 분석하였다. 또한, 다기준 분석기법을 통해 종합적인 시스템 핵심 성능에 대한 신뢰도 지수의 상관성을 분석함으로써, 시스템 전반에 대한 신뢰도 지수별 적용성을 함께 평가하였다. 본 연구 결과는 향후 상수관망시스템의 설계 또는 기존 시스템의 보강 및 운영계획 수립 등을 위한 연구에서 폭넓게 활용할 수 있을 것으로 기대된다.

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A Dynamic Path Computation Database Model in Mobile LBS System (모바일 LBS 시스템에서 동적 경로 계산 데이터베이스 모델)

  • Joo, Yong-Jin
    • Spatial Information Research
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    • v.19 no.3
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    • pp.43-52
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    • 2011
  • Recently, interest in location-based service (LBS) which utilizes a DBMS in mobile system environment has been increasing, and it is expected to overcome the existing file-based system's limitation in advanced in-vehicle system by utilizing DBMS's advantages such as efficient storage, transaction management, modelling and spatial queries etc. In particular, the road network data corresponds to the most essential domain in a route planning system, which needs efficient management and maintenance. Accordingly, this study aims to develop an efficient graph-based geodata model for topological network data and to support dynamic path computation algorithm based on heuristic approach in mobile LBS system. To achieve this goal, we design a data model for supporting the hierarchy of network, and implement a path planning system to evaluate its performance in mobile LBS system. Last but not least, we find out that the designed path computation algorithm with hierarchical graph model reduced the number of nodes used for finding and improved the efficiency of memory.

Cognitive improvement effects of Momordica charantia in amyloid beta-induced Alzheimer's disease mouse model (여주의 amyloid beta 유도 알츠하이머질환 동물 모델에서 인지능력 개선 효과)

  • Sin, Seung Mi;Kim, Ji Hyun;Cho, Eun Ju;Kim, Hyun Young
    • Journal of Applied Biological Chemistry
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    • v.64 no.3
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    • pp.299-307
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    • 2021
  • Accumulation of amyloid beta (Aβ) and oxidative stress are the most common reason of Alzheimer's disease (AD). In the present study, we investigated the cognitive improvement effects of butanol (BuOH) fraction from Momordica charantia in Aβ25-35-induced AD mouse model. To develop an AD mouse model, mice were received injection of Aβ25-35, and then orally administered BuOH fraction from M. charantia at doses of 100 and 200 mg/kg/day during 14 days. In the T-maze and novel object recognition test, administration of BuOH fraction from M. charantia L. at doses of 100 and 200 mg/kg/day improved spatial ability and novel object recognition by increased explorations of novel route and new object. In addition, BuOH fraction of M. charantia-administered groups improved learning and memory abilities by decreased time to reach hidden platform in Morris water maze test. Oral administration of BuOH fraction from M. charantia significantly inhibited lipid peroxidation and nitric oxide levels in the brain, liver, and kidney compared with Aβ25-35-induced control group. These results indicated that BuOH fraction of M. charantia improved Aβ25-35-induced cognitive impairment by attenuating oxidative stress. Therefore, M. charantia could be useful for protection from Aβ25-35-induced cognitive impairment.

A Study on the methods for improving writing ability through e-learning (영어쓰기능력 향상을 위한 이러닝 활용 방안 연구)

  • Ryu, Da-Young
    • Journal of Digital Convergence
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    • v.12 no.1
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    • pp.51-60
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    • 2014
  • Modern society is rapidly changing by the Internet, and it is getting influential on the field of education. Learners can learn what they want to learn actively and freely at their desired level at anywhere in their free time by using the internet. The purpose of this study, therefore, is to find out the methods for improving writing ability through e-learning. The results of the study are as follows: First, learners can attend a lecture to improve their writing ability and can get learning materials from on-line course sites, internet websites, communities and blogs. Second, e-learning is learner-centered education, so it stimulates learners learning motivation and interest. Third, learners have an opportunity to express their ideas freely, and they can gain cultural comprehension while they communicate with people in the world by e-mail and chatting.