• 제목/요약/키워드: Spatial Data Types

검색결과 631건 처리시간 0.033초

Geohashed Spatial Index Method for a Location-Aware WBAN Data Monitoring System Based on NoSQL

  • Li, Yan;Kim, Dongho;Shin, Byeong-Seok
    • Journal of Information Processing Systems
    • /
    • 제12권2호
    • /
    • pp.263-274
    • /
    • 2016
  • The exceptional development of electronic device technology, the miniaturization of mobile devices, and the development of telecommunication technology has made it possible to monitor human biometric data anywhere and anytime by using different types of wearable or embedded sensors. In daily life, mobile devices can collect wireless body area network (WBAN) data, and the co-collected location data is also important for disease analysis. In order to efficiently analyze WBAN data, including location information and support medical analysis services, we propose a geohash-based spatial index method for a location-aware WBAN data monitoring system on the NoSQL database system, which uses an R-tree-based global tree to organize the real-time location data of a patient and a B-tree-based local tree to manage historical data. This type of spatial index method is a support cloud-based location-aware WBAN data monitoring system. In order to evaluate the proposed method, we built a system that can support a JavaScript Object Notation (JSON) and Binary JSON (BSON) document data on mobile gateway devices. The proposed spatial index method can efficiently process location-based queries for medical signal monitoring. In order to evaluate our index method, we simulated a small system on MongoDB with our proposed index method, which is a document-based NoSQL database system, and evaluated its performance.

Evaluation of spatial pressure distribution during ice-structure interaction using pressure indicating film

  • Kim, Hyunwook;Ulan-Kvitberg, Christopher;Daley, Claude
    • International Journal of Naval Architecture and Ocean Engineering
    • /
    • 제6권3호
    • /
    • pp.578-597
    • /
    • 2014
  • Understanding of 'spatial' pressure distribution is required to determine design loads on local structures, such as plating and framing. However, obtaining a practical 'spatial' pressure distribution is a hard task due to the sensitivity of the data acquisition frequency and resolution. High-resolution Pessure-Idicating Flm (PIF) was applied to obtain pressure distribution and pressure magnitude using stepped crushing method. Different types of PIF were stacked at each test to creating a pressure distribution plot at specific time steps. Two different concepts of plotting 'spatial' pressure-area curve was introduced and evaluated. Diverse unit pixel size was chosen to investigate the effect of the resolution in data analysis. Activated area was not significantly affected by unit pixel size; however, total force was highly sensitive.

Temporal and spatial outlier detection in wireless sensor networks

  • Nguyen, Hoc Thai;Thai, Nguyen Huu
    • ETRI Journal
    • /
    • 제41권4호
    • /
    • pp.437-451
    • /
    • 2019
  • Outlier detection techniques play an important role in enhancing the reliability of data communication in wireless sensor networks (WSNs). Considering the importance of outlier detection in WSNs, many outlier detection techniques have been proposed. Unfortunately, most of these techniques still have some potential limitations, that is, (a) high rate of false positives, (b) high time complexity, and (c) failure to detect outliers online. Moreover, these approaches mainly focus on either temporal outliers or spatial outliers. Therefore, this paper aims to introduce novel algorithms that successfully detect both temporal outliers and spatial outliers. Our contributions are twofold: (i) modifying the Hampel Identifier (HI) algorithm to achieve high accuracy identification rate in temporal outlier detection, (ii) combining the Gaussian process (GP) model and graph-based outlier detection technique to improve the performance of the algorithm in spatial outlier detection. The results demonstrate that our techniques outperform the state-of-the-art methods in terms of accuracy and work well with various data types.

모음-자음-모음 연결에서 자음의 조음특성과 모음-모음 동시조음 (Consonantal Production and V-to-V Coarticulation in Korean VCV Sequences)

  • 신지영
    • 음성과학
    • /
    • 제1권
    • /
    • pp.55-81
    • /
    • 1997
  • In the present paper, V-to-V coarticulation in Korean VCV sequences is discussed, focusing on links between consonantal production and degree of V-to-V coarticulation. Temporal and spatial differences between three types of Korean alveolar stops (lax /t/. aspirated /$t^h$/ and thense /t'/) are examined from VCV sequences involving all possible combinations of three Korean unrounded vowels /a, i,/ based on spectrographic and electrographic data(two male speakers and one female speaker and one female speaker respectively). Closure duration and voice onset time (VOT) were measured from acoustic data. 'Total duration', which is defined as the sum of the closure duration and the VOT, was also calculated in order to see the temporal distance between two vowels in a VCV sequence. Differences in lingual-palatal contact pattern at the maximum contact (MC) point between the three types of stop were observed from EPG data. V-to-V coarticulation was investigated by measuring the offset or onset of the second formant (F2) of the target vowels from spectrograms. Two different dimensions of articulation, temporal and spatial, seem to playa role in determining the degree of V-to-V coarticulation. The degree of V-to-V anticipatory coarticulation is influenced by the spatial characteristics of the intervening consonant while the degree of carryover coarticulation is influenced by the temporal characteristics of the consonant.

  • PDF

확산망에 의한 방향성 계층적 공간 필터의 구현 (Implementation of Hierarchical Spatial Filters with Orientation Selectivity by Using Diffusion Network)

  • 최태완;김재창
    • 전자공학회논문지B
    • /
    • 제33B권10호
    • /
    • pp.130-138
    • /
    • 1996
  • In this paper, we propose a neural network which detect edges of different orentation and spatial frequency in arbitrary image data. We constructed the proposed neural network iwth two different types neural network. A diffusion network performs the gaussian operation efficiently by the diffusion process. And the spatial difference network has specially designed connections suitble to detect the contours of a specific oriention. Simulation results showed that the proposed neural network can extract the edges of selected orientation efficiently by applying the neural network to a test pattern and the real image.

  • PDF

인도네시아 중부(中部)자바지역(地域) 마을구성(構成) 및 주택유형(住宅類型)에 관한 연구(硏究) (A Study on the Composition of Village and Types of Housing in Central Java of Indonesia)

  • 정건채
    • 한국농촌건축학회논문집
    • /
    • 제7권2호
    • /
    • pp.56-63
    • /
    • 2005
  • This study is to provide basic research data of village composition and housing types of Central Java in Indonesia. So, I needed both field survey and research for 3 villages. I surveyed several houses cased on three village which located in two Desa of Salatica and one Desa of Purbowangi in rural area. The analysis of this research is divided into main categories as follow; The first is characteristics of village composition. And the second is classification of exterior form types and spatial composition of housing. Through this survey, the results of study are as follows. 1. The main elements of village compositions are public facilities, cross street including in naturalism, and shadow within high-rise tree. But it is not important to planning for orientation. 2. The types of house are 16 in all Indonesia land. But in this study 3 village are followed to Java style which has traditional roof style and clay tile material 지붕, 처마, conservation 3. Spatial composition of inner side is focused of living room-Ruang Tamu, and others are organized in small size. But recently new type of improved village house has rest room into living space.

  • PDF

패션에 나타난 프랙탈 디멘션의 유형분석 (Analysis of the Types of Fractal Dimension Appeared in Fashion)

  • 송아름;간호섭
    • 패션비즈니스
    • /
    • 제22권1호
    • /
    • pp.135-147
    • /
    • 2018
  • Since the 20th century, there has been a growing interest in the new concept of fractals, a combination of mathematics and art, and the attempt to study the creative spatial aspects of the concept is being made. The purpose of this research is to examine artistic characteristics of fractal dimension and then analyze the types of fractal dimensions expressed in the fashion. Previous literature on fractals and dimension, and visual data on art and fashion collected over the Internet were used for analysis. Fractal dimension refers to the spatial concept of structural dimension of geometrical self-similarity. An analysis of the types of fractals seen in fashion revealed spatial expansion, the repetition in continual figures, superposition accordant to different sizes, and shades of different shapes. The aesthetic characteristics of fractal dimension appearing in fashions were examined based on analyses of fractal dimension types; the inherent characteristics of self-similarity, superimposition, and atypicality were found. Results obtained from this study are expected to be used as basic materials for the application of the design of fractal dimension into various perspectives of fashion.

부산시 공간 데이터의 유효활용에 관한 연구 (A Study on the Effective Use of Spatial Data in Busan Metropolitan City)

  • 백태경
    • 한국지리정보학회지
    • /
    • 제16권3호
    • /
    • pp.91-102
    • /
    • 2013
  • 본 연구에서는 지방자치단체 내에서 생산되어 유통되고 있는 공간데이터의 유효활용방안을 제안하였다. 그를 위하여 부산광역시를 대상으로 각 부서에서 구축된 정보시스템과 관리되고 있는 공간정보를 파악하였다. 또한, 국내의 관련동향으로는 국가공간정보통합체계와 국가공간정보유통센터를 들 수 있는데 분산되어 있는 유통망을 국가공간정보유통센터로 통합하여 공공과 민간이 다 함께 참여할 수 있도록 서비스를 확대하고 있음을 알 수 있었다. 부산광역시의 중앙부처 보급 행정정보시스템은 총 22개이며 부산광역시에서 운영 중인 정보시스템은 총 168개로 파악되었다. 그 이외에도 2009년 국가공간정보체계 2차 시범사업을 시작으로 행정공간정보체계를 구축하였는데 환경, 도로교통, 축산 등 11개 분야 295종의 행정주제도가 있었다. 향후, 이들 시스템을 통합하고 관리하는 체계가 필요하며 정보시스템 통합 관리 및 연계, 고도화 방향 설정이 필요한 것으로 판단된다. 이를 위하여 (1)메타데이터 구축 및 정보시스템 연계 (2)공간데이터 유효활용을 위한 실증실험 (3)데이터센터 구축이 필요하다고 사료된다.

Evaluation of the Pi-SAR Data for Land Cover Discrimination

  • Amarsaikhan, D.;Sato, M.
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
    • /
    • pp.1087-1089
    • /
    • 2003
  • The aim of this study is to evaluate the Pi-SAR data for land cover discrimination using a standard method. For this purpose, the original polarization and Pauli components of the Pi-SAR X-band and L-band data are used and the results are compared. As a method for the land cover discrimination, the traditional method of statistical maximum likelihood decision rule is selected. To increase the accuracy of the classification result, different spatial thresholds based on local knowledge are determined and used for the actual classification process. Moreover, to reduce the speckle noise and increase the spatial homogeneity of different classes of objects, a speckle suppression filter is applied to the original Pi-SAR data before applying the classification decision rule. Overall, the research indicated that the original Pi-SAR polarization components can be successfully used for separation of different land cover types without taking taking special polarization transformations.

  • PDF

Investigation of Building Extraction Methodologies within the Framework of Sensory Data

  • Seo, Su-Young
    • Spatial Information Research
    • /
    • 제16권4호
    • /
    • pp.479-488
    • /
    • 2008
  • 본 논문은 건물추출 기법에 있어서 기존 연구들을 분석하기 위하여 활용센서의 관점에서 분류하고 이에 따라 주요 기법들을 분석하였다. 지난 수십 년간, 많은 유형의 센서자료가 매핑과학기술분야에 도입되어 왔고, 그들의 특성은 공간해상력과 자료처리 측면에서 매우 다양하다. 이에 따라, GIS분야에서 이러한 자료들을 이용함으로써 실세계의 3차원 가상공간 구축이 가능해지고 있고, 이는 도시설계, 재난관리 및 토목공사 등 여러 응용분야에 활용될 수 있을 것으로 기대된다. 이와 관련하여, 본 연구는 건물추출에 대한 기존 연구들을 먼저 건물 영역탐지와 모델링의 두 가지 대주제로 분류한 후 기법들에 대한 장단점을 분석하였다. 본 연구에서 제시하는 분석결과는 목적에 따라 자동화 알고리즘을 향상시키거나 적합한 센서자료를 선택하는데 있어서 유용하게 활용될 수 있을 것이다.

  • PDF