• Title/Summary/Keyword: u-map

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Real-time Web Location System for the elderly active surveillance based on Google Map 3D (노약자 활동 감시를 위한 구글 맵 3D 기반의 실시간 웹 위치 추적 시스템)

  • Lee, Young-Min;choi, Okkyung;Kim, Gi-hyung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.120-122
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    • 2011
  • 과학 기술과 의학 기술의 발달로 전 세계적인 고령화 인구 비율도 해마다 증가하고 있다. 본 연구에서는 이러한 고령화 인구 증가 현상에 대한 대책 방안의 하나로 U-HealthCare 시스템에 구글맵(Google Map) 3D 기반의 실시간 위치 추적기법을 적용 시켜 노약자들이 이동하는 중간에 실시간 위치 추적을 실시하여 추후 발생 할 수 있는 위험 사태에 대비하고자 한다. 제안 방식은 구글 맵 3D 서비스 방식이기에 2D 서비스나 문자 서비스 방식보다 시각적으로 건물의 생김새나 주변의 건물에 대한 정확한 파악이 가능하여 노약자들의 위치 정보에 대한 신속한 대체가 가능하다.

ROTATIONAL HYPERSURFACES CONSTRUCTED BY DOUBLE ROTATION IN FIVE DIMENSIONAL EUCLIDEAN SPACE 𝔼5

  • Erhan Guler
    • Honam Mathematical Journal
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    • v.45 no.4
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    • pp.585-597
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    • 2023
  • We introduce the rotational hypersurface x = x(u, v, s, t) constructed by double rotation in five dimensional Euclidean space 𝔼5. We reveal the first and the second fundamental form matrices, Gauss map, shape operator matrix of x. Additionally, defining the i-th curvatures of any hypersurface via Cayley-Hamilton theorem, we compute the curvatures of the rotational hypersurface x. We give some relations of the mean and Gauss-Kronecker curvatures of x. In addition, we reveal Δx=𝓐x, where 𝓐 is the 5 × 5 matrix in 𝔼5.

Contents Development Strategies for Field Trips with Creative Activities Using Smart Devices (창의적 체험활동을 위한 스마트 기기용 콘텐츠 개발 전략)

  • Kim, Hong-Rae;Lim, Byeong-Choon
    • 한국정보교육학회:학술대회논문집
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    • 2011.01a
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    • pp.139-146
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    • 2011
  • The present study proposes an innovative approach to develop educational contents for the field trip with creative activities. In the study, the field trip with creative activities extends students' learning spaces from not only the classroom but also social circumstances. With the use of the Creative Resource Map (CRM) for students' field trip, students can approach to rich contents whenever and wherever they want. For this, it is necessary to have a variety of curriculum-related contents. For the content development, it is important to enhance mutual cooperation between school and local community as well as to create local capacity for the development of the u-learning contents with smart devices.

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Geological Review on the Distribution and Source of Uraniferous Grounwater in South Korea (국내 고함량 우라늄 지하수의 분포와 기원에 관한 지질학적 고찰)

  • Hwang, Jeong
    • The Journal of Engineering Geology
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    • v.28 no.4
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    • pp.593-603
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    • 2018
  • The most of groundwater with high U-concentration occur in the Jurassic granite of Gyeonggi massif and Ogcheon belt, and some of them occur in the Cretaceous granite of Ogcheon belt. On the contrary, they do not occur in the Jurassic granite of Yeongnam massif and the Cretaceou granite of Gyeongsang basin. The Jurassic and Cretacous granite, the host rock of high U-groundwater, were resulted from parental magma with high ratio of crustal material and highly differentiated product of fractional crystalization. These petrogenetic characteristics explain the geological evidence for preferential distribution of uraniferous groundwater in each host rock. It were reported recently that high U-content, low Th/U ratio and soluble mineral occurrence of uraninite in the two-mica granite of Daejeon area which have characteristics of S-type peraluminous and highly differntiated product. It is the mineralogical-geochemical evidences supporting the fact that the two-mica granite is the effective source of uranium in groundwater. The biotite granite and two-mica granite of Jurassic age were reported as biotite granite in many geological map even though two-mica granite occur locally. This fact suggest that the influence of two-mica granite can not be ignored in uraniferous groundwater hosted by biotite granite.

Determinants and Processes of Morphological Transformation of Apartment Complexes in Busan (부산 아파트 단지 배치형태 변화의 요인과 과정에 관한 연구)

  • Lee, Sangjin;Park, SoHyu
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.3
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    • pp.91-102
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    • 2019
  • This study explores the causes and processes of morphological transformation of apartment complexes in Busan. All apartment complexes built until the year 2016 were selected for statistical analysis, drawing/map examination, field observation, selected expert interviews based on 6 periodical groups: Period I(~1990), Period II(1991~1995), Period III(1996~2000), Period IV(2001~2005), Period V(2006~2010), and Period VI(2011~2016). The research argues for three 'arrangement' types, P1U, L1U and P2U, which have dominated the whole periods occupying 88% of the total 260 complexes. The switch of the leading type represents for morphological transformation of apartment complexes. Four aspects, density(F.A.R.), height(maximum number of floors), deformed-building-type ratio, and building-orientation, have affected the change of 'arrangement' types. Density was the major cause of the arrangement-type switch, from P1U to L1U, on Period II(1991~1995). The morphological change, from type L1U to P2U, on Period V(2006~2010) was caused by height and orientation, and is correlated with the increased number of deformed-type buildings. The first phase morphological change on Period II(1991~1995) was resulted by the supply side of apartment. However, the second phase transformation on Period V(2006~2010) had gone through the complex process including reflection of consumers' demands. The significance of research is to reveal the morphological transformation process of apartment complexes through analytical investigation of the entire apartment data in Busan. The result shows that the major change of urban paysage started to occur from Period V(2006~2010), and the superficial evaluation on apartment 'being monotonous and repetitive' may not be proper at least from the perspective of town plan.

Classification of Urban Green Space Using Airborne LiDAR and RGB Ortho Imagery Based on Deep Learning (항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류)

  • SON, Bokyung;LEE, Yeonsu;IM, Jungho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.3
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    • pp.83-98
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    • 2021
  • Urban green space is an important component for enhancing urban ecosystem health. Thus, identifying the spatial structure of urban green space is required to manage a healthy urban ecosystem. The Ministry of Environment has provided the level 3 land cover map(the highest (1m) spatial resolution map) with a total of 41 classes since 2010. However, specific urban green information such as street trees was identified just as grassland or even not classified them as a vegetated area in the map. Therefore, this study classified detailed urban green information(i.e., tree, shrub, and grass), not included in the existing level 3 land cover map, using two types of high-resolution(<1m) remote sensing data(i.e., airborne LiDAR and RGB ortho imagery) in Suwon, South Korea. U-Net, one of image segmentation deep learning approaches, was adopted to classify detailed urban green space. A total of three classification models(i.e., LRGB10, LRGB5, and RGB5) were proposed depending on the target number of classes and the types of input data. The average overall accuracies for test sites were 83.40% (LRGB10), 89.44%(LRGB5), and 74.76%(RGB5). Among three models, LRGB5, which uses both airborne LiDAR and RGB ortho imagery with 5 target classes(i.e., tree, shrub, grass, building, and the others), resulted in the best performance. The area ratio of total urban green space(based on trees, shrub, and grass information) for the entire Suwon was 45.61%(LRGB10), 43.47%(LRGB5), and 44.22%(RGB5). All models were able to provide additional 13.40% of urban tree information on average when compared to the existing level 3 land cover map. Moreover, these urban green classification results are expected to be utilized in various urban green studies or decision making processes, as it provides detailed information on urban green space.

Kidney Tumor Segmentation through Semi-supervised Learning Based on Mean Teacher Using Kidney Local Guided Map in Abdominal CT Images (복부 CT 영상에서 신장 로컬 가이드 맵을 활용한 평균-교사 모델 기반의 준지도학습을 통한 신장 종양 분할)

  • Heeyoung Jeong;Hyeonjin Kim;Helen Hong
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.5
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    • pp.21-30
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    • 2023
  • Accurate segmentation of the kidney tumor is necessary to identify shape, location and safety margin of tumor in abdominal CT images for surgical planning before renal partial nephrectomy. However, kidney tumor segmentation is challenging task due to the various sizes and locations of the tumor for each patient and signal intensity similarity to surrounding organs such as intestine and spleen. In this paper, we propose a semi-supervised learning-based mean teacher network that utilizes both labeled and unlabeled data using a kidney local guided map including kidney local information to segment small-sized kidney tumors occurring at various locations in the kidney, and analyze the performance according to the kidney tumor size. As a result of the study, the proposed method showed an F1-score of 75.24% by considering local information of the kidney using a kidney local guide map to locate the tumor existing around the kidney. In particular, under-segmentation of small-sized tumors which are difficult to segment was improved, and showed a 13.9%p higher F1-score even though it used a smaller amount of labeled data than nnU-Net.

ITERATIVE SOLUTION OF NONLINEAR EQUATIONS WITH STRONGLY ACCRETIVE OPERATORS IN BANACH SPACES

  • Jeong, Jae-Ug
    • Journal of applied mathematics & informatics
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    • v.7 no.2
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    • pp.605-615
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    • 2000
  • Let E be a real Banach space with property (U,${\lambda}$,m+1,m);${\lambda}{\ge}$0; m${\in}N$, and let C be a nonempty closed convex and bounded subset of E. Suppose T: $C{\leftrightarro}C$ is a strongly accretive map, It is proved that each of the two well known fixed point iteration methods( the Mann and Ishikawa iteration methods.), under suitable conditions , converges strongly to a solution of the equation Tx=f.

Prediction of Aircraft Noise (항공기소음 예측)

  • 강대준
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1998.04a
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    • pp.728-734
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    • 1998
  • Aircraft noise is one of the main causes of environmental impact. It is more serious than any other noise nuisance. It has become an increasing source of annoyance to the large number of people who live in communities near airports. This paper demonstrates the prediction of aircraft noise using Integrated Noise Model(INM) 5.1 developed by U.S. FAA and aircraft noise contour map near airports.

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ON THE SPECTRAL GEOMETRY FOR THE JACOBI OPERATORS OF HARMONIC MAPS INTO PRODUCT MANIFOLDS

  • Kang, Tae-Ho;Ki, U-Hang;Pak, Jin-Suk
    • Journal of the Korean Mathematical Society
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    • v.34 no.2
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    • pp.483-500
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    • 1997
  • We investigate the geometric properties reflected by the spectra of the Jacobi operator of a harmonic map when the target manifold is a Riemannian product manifold or a Kaehlerian product manifold. And also we study the spectral characterization of Riemannian sumersions when the target manifold is $S^n \times S^n$ or $CP^n \times CP^n$.

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