• Title/Summary/Keyword: Spatial Data Types

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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
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    • v.12 no.2
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    • pp.263-274
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    • 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
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    • v.6 no.3
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    • pp.578-597
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    • 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
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    • v.41 no.4
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    • pp.437-451
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    • 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.

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

  • Shin, Ji-Young
    • Speech Sciences
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    • v.1
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    • pp.55-81
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    • 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.

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

  • 최태완;김재창
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.10
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    • pp.130-138
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    • 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.

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

  • Chong, Geon-Chai
    • Journal of the Korean Institute of Rural Architecture
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    • v.7 no.2
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    • pp.56-63
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    • 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.

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

  • Song, Arum;Kan, Hosup
    • Journal of Fashion Business
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    • v.22 no.1
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    • pp.135-147
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    • 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.

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

  • Baek, Tae-Kyung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.3
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    • pp.91-102
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    • 2013
  • The purpose of this study is to suggest the way of effective use of spatial data in Busan metropolitan city. To do so, information systems and spatial data established in each department are analyzed. Spatial data distribution networks scattered around the nation are integrated to the national spatial information clearinghouse and the service is expanded for the public and the private sectors to participate. Information systems supplied by the central government are 22 and information systems operating in the Busan Metropolitan City are 168. In addition, there are also 295 types of the thematic maps in 11 fields related to the environment, road transportation, livestock, and etc. For systems integration and management system, an integrated information management and linkage system is required in the near future. In the next logical step, generation of metadata, experiments for effective utilization of spatial data, and construction of the data center should be necessary.

Evaluation of the Pi-SAR Data for Land Cover Discrimination

  • Amarsaikhan, D.;Sato, M.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1087-1089
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    • 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.

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Investigation of Building Extraction Methodologies within the Framework of Sensory Data

  • Seo, Su-Young
    • Spatial Information Research
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    • v.16 no.4
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    • pp.479-488
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    • 2008
  • This paper performs investigation of the state-of-the-art approaches to building extraction in terms of their sensory input data and methodologies. For the last decades, there have been many types of sensory input data introduced into the mapping science and engineering field, which are considerably diverse in aspects of spatial resolution and data processing. With the cutting-edge technology in this field, accordingly, one of the key issues in GIS is to reconstruct three -dimensional virtual models of the real world to meet the requirements occurring in spatial applications such as urban design, disaster management, and civil works. Thus, this study investigates the strengths and weaknesses of previous approaches to automating building extraction with two categories - building detection and modeling and with sensor types categorized. The findings in this study can be utilized in enhancing automation algorithms and choosing suitable sensors, so that they can be optimized for a specific purpose.

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