• Title/Summary/Keyword: archived data

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Diagnostic/prognostic health monitoring system and evaluation of a composite bridge

  • Mosallam, A.;Miraj, R.;Abdi, F.
    • Smart Structures and Systems
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    • v.5 no.4
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    • pp.397-413
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    • 2009
  • Composite bridges offer many advantages compared to current steel and aluminum bridges. This paper presents the results of a comprehensive on-going research program to develop innovative Diagnostic Prognostic System (DPS) and a structural evaluation of Composite Army Bridge (CAB) system. The DPS is founded on three technologies: optical fiber sensing, remote data transmission, and virtual testing. In developing this system, both laboratory and virtual test were used in different damage scenarios. Health monitoring with DPS entailed comparing live strain data to archived strained data in various bridge locations. For field repairs, a family of composite chords was subjected to simple ramp loads in search of ultimate strength. As such, composite bridge specimens showcased their strengths, heralded the viability of virtual testing, highlighted the efficacy of field repair, and confirmed the merits of health monitoring.

Big IoT Healthcare Data Analytics Framework Based on Fog and Cloud Computing

  • Alshammari, Hamoud;El-Ghany, Sameh Abd;Shehab, Abdulaziz
    • Journal of Information Processing Systems
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    • v.16 no.6
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    • pp.1238-1249
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    • 2020
  • Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

KOMPSAT Data Processing System: Preliminary Acceptance Test Results

  • Kim, Yong-Seung;Kim, Youn-Soo;Lim, Hyo-Suk;Lee, Dong-Han;Kang, Chi-Ho
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.331-336
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    • 1999
  • The optical sensors of Electro-Optical Camera (EOC) and Ocean Scanning Multi-spectral Imager (OSMI) aboard the Korea Multi-Purpose SATellite (KOMPSAT) will be placed in a sun synchronous orbit in 1999. The EOC and OSMI sensors are expected to produce the land mapping imagery of Korean territory and the ocean color imagery of world oceans, respectively. Utilization of the EOC and OSMI data would encompass the various fields of science and technology such as land mapping, land use and development, flood monitoring, biological oceanography, fishery, and environmental monitoring. Readiness of data support for user community is thus essential to the success of the KOMPSAT program. As part of testing such readiness prior to the KOMPSAT launch, we have performed the preliminary acceptance test for the KOMPSAT data processing system using the simulated EOC and OSMI data sets. The purpose of this paper is to demonstrate the readiness of the KOMPSAT data processing system, and to help data users understand how the KOMPSAT EOC and OSMI data are processed and archived. Test results demonstrate that all requirements described in the data processing specification have been met, and that the image integrity is maintained for all products. It is however noted that since the product accuracy is limited by the simulated sensor data, any quantitative assessment of image products can not be made until actual KOMPSAT images will be acquired.

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User Interface of Data Processing, Design and Construction Techniques of Traffic Database Supporting Archived data (교통정보 이력자료 분석을 위한 통합 교통 데이터베이스의 설계 및 구축과 자료처리 이용자 인터페이스)

  • Lee, Yoon-Kyung;Lee, Min-Soo;NamGung, Sung
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06c
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    • pp.55-59
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    • 2008
  • 분산되어 있는 여러 운영계 시스템에서 대용량의 교통자료를 가져와 교통정보 이력자료를 분석할 수 있는 단일 통합 교통 데이터베이스를 구축한다. 품질 평가, 오류 판단, 결측보정과 평활화 등의 자료처리 과정을 거친 교통자료는 자료의 신뢰도를 판단하고 활용도를 높일 수 있게 해주며 이용자에게 고속도로 통행료 수납자료, 고속도로 전자통행료 수납자료, 차량검지장치자료, 도로전광표지자료, 돌발상황자료, 기상자료, 차량번호인식장치자료 등에 대한 검색 및 자료 처리 기능을 제공한다.

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Derivation of SST using MODIS direct broadcast data

  • Chung, Chu-Yong;Ahn, Myoung-Hwan;Koo, Ja-Min;Sohn, Eun-Ha;Chung, Hyo-Sang
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.638-643
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    • 2002
  • MODIS (MODerate-resolution Imaging Spectroradiometer) onboard the first Earth Observing System (EOS) satellite, Terra, was launched successfully at the end of 1999. The direct broadcast MODIS data has been received and utilized in Korea Meteorological Administration (KMA) since february 2001. This study introduces utilizations of this data, especially for the derivation of sea surface temperature (SST). To produce the MODIS SST operationally, we used a simple cloud mask algorithm and MCSST algorithm. By using a simple cloud mask algorithm and by assumption of NOAA daily SST as a true SST, a new set of MCSST coefficients was derived. And we tried to analyze the current NASA's PFSST and new MCSST algorithms by using the collocated buoy observation data. Although the number of collocated data was limited, both algorithms are highly correlated with the buoy SST, but somewhat bigger bias and RMS difference than we expected. And PFSST uniformly underestimated the SST. Through more analyzing the archived and future-received data, we plan to derive better MCSST coefficients and apply to MODIS data of Aqua that is the second EOS satellite. To use the MODIS standard cloud mask algorithm to get better SST coefficients is going to be prepared.

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Development of Terra MODIS data pre-processing system on WWW

  • Takeuchi, W.;Nemoto, T.;Baruah, P.J.;Ochi, S.;Yasuoka, Y.
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.569-572
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    • 2002
  • Terra MODIS is one of the few space-borne sensors currently capable of acquiring radiometric data over the range of view angles. Institute of Industrial Science, University of Tokyo, has been receiving Terra MODIS data at Tokyo since May 2001 and Asian Institute of Technology at Bangkok since May 2001. They can cover whole East Asia and is expected to monitor environmental changes regularly such as deforestation, forest fires, floods and typhoon. Over eight hundred scenes have been archived in the storage system and they occupy 2 TB of disk space so far. In this study, MODIS data processing system on WWW is developed including following functions: spectral subset (250m, 500m, 1000m channels), radiometric correction to radiance, spatial subset of geocoded data as a rectangular area with latitude-longitude grid system in HDF format, generation of a quick look file in JPEG format. Users will be notified just after all the process have finished via e-mail. Using this system enables us to process MODIS data on WWW with a few input parameters and download the processed data by FTP access. An easy to use interface is expected to promote the use of MODIS data. This system is available via the Internet on the following URL from September 1 2002, "http : //webmodis.iis.u-tokyo.ac.jp/".

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A Proposal for Archives securing Community Memory The Achievements and Limitations of GPH Archives (공동체의 기억을 담는 아카이브를 지향하며 20세기민중생활사연구단 아카이브의 성과와 과제)

  • Kim, Joo-Kwan
    • The Korean Journal of Archival Studies
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    • no.33
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    • pp.85-112
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    • 2012
  • Group for the People without History(GPH) was launched at September 2002 and had worked for around five years with the following purposes; Firstly, GPH collects first-hand data on people's everyday lives based on fieldworks. Secondly, GPH constructs digital archives of the collected data. Thirdly, GPH guarantees the accessibility to the archives for people. And lastly, GPH promotes users to utilize the archived data for the various levels. GPH has influenced on the construction of archives on everyday life history as well as the research areas such as anthropology and social history. What is important is that GPH tried to construct digital archives even before the awareness on archives was not widely spreaded in Korea other than formal sectors. Furthermore, the GPH archives proposed a model of open archives which encouraged the people's participation in and utilization of the archives. GPH also showed the ways in which archived data were used. It had published forty seven books of people's life histories and five photographic books, and held six photographic exhibitions on the basis of the archived data. Though GPH archives had contributed to the ignition of the discussions on archives in various areas as leading civilian archives, it has a few limitations. The most important problem is that the data are vanishing too fast for researchers to collect. It is impossible for researchers to collect the whole data. Secondly, the physical space and hardware for the data storage should be ensured. One of the alternatives to solve the problems revealed in the works of GPH is to construct community archives. Community archives are decentralized archives run by people themselves to preserve their own voices and history. It will guarantee the democratization of archives.

Observed Seasonal Variability of Barrier Layer in the Bay of Bengal

  • Thadathil, Pankajakshan;Muraleedharan, P.M.;Rao, R.R.;Somayajulu, Y.K.;Reddy, G.V.;Revichandran, C.
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.922-925
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    • 2006
  • The objective of this study is first to resolve the spatial and seasonal variability of BL in the bay using 'the most comprehensive' data set available for the bay and then to understand the formation mechanisms and variability in the light of the known dynamical and thermodynamical processes. The most recent study [Masson et al., 2002] on the BL variability in the bay was based on the World Ocean Atlas (WOA98) of Levitus [1998]. The temperature and salinity profiles in the bay have increased considerably after the release of WOA98. The WOA98, itself has been updated to WOA01 in 2001. Further, the deployment of ARGO profiling floats in the bay since 2002 has generated many additional profiles. In addition to the ARGO data and the updated WOA01, the hydrographic data collected from the bay under several Indian national programs and archived in the Indian Oceanographic Data Centre (IODC) was also considered in the present study. The WOA98 and WOA01 consist of only limited data from the IODC archive, especially from the Exclusive Economic Zone of India. Therefore, the combination of these data from the three different sources (WOA01, ARGO and IODC) provides ‘the most comprehensive data set’ for the bay to resolve the BLT structure and its variability in a much better scale than in the past.

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COTS Based Air Data Recording System for SmartUAV (상용 기성품에 기반한 스마트무인기 탑재자료저장장치)

  • Chang, Sung-Ho;Kim, Young-Min
    • Aerospace Engineering and Technology
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    • v.9 no.2
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    • pp.153-160
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    • 2010
  • Air Data Recording System (ADRS) is the flight data recorder for the SmartUAV development. ADRS of the low cost designed for the SmartUAV has been developed and tested through the ground test. ADRS is the reconstructing data acquisition system and can be programmed automation controller. This paper focuses on the design aspects of the hardware and software. The hardware aspects of the ADRS include details about the hardware configurations for the interfaces with the Digital Flight Control Computer(DFCC) and sensors, components modifications. The software section describes the ADRS Operating System(OS) and data flow for archived files. Finally, ADRS-based results of the SmartUAV that include the Iron-bird test, system interface test and ground test are presented.

ASEAN+3 Satellite Image Archive for Environmental Study

  • Vibulsresth, Suvit
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.803-803
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    • 2002
  • Several environmental problems have occurred and extremely affected throughout the East Asia region. Satellite imageries and spatial information have been used in the applications of environmental and natural hazard management for years. Sharing these data and resources in the community is considered as one of the optimal solution. It would consequently bring cost saving to all participated countries and eventually be beneficial to mankind as a whole. Encouraged by these factors, ASEAN+3 Satellite Image Archive for Environmental Study project was submitted by Thailand in the 3rd Senior Official Meeting between ASEAN, China, Japan and Korea (SEOM+3 Meeting) and approved by the SEOM+3. The main objectives of this project are to share satellite images, information related to natural resources and environmental issues, and to provide data information services to all ASEAN+3 countries. The proposed system is basically embedded by distributed system. The network of data users, data providers, and the center will be established using the Internet. User can access, navigate, display, and even download some archived contents. Its service site can be generally categorized into two parts, which are environmental related data archive and the Integrated satellite image catalogue. The extension of web based GIS is also planned for future development so that GIS users can conduct some preliminary analysis directly on line. This presentation will indicate scope of work, system, working scenario, and work plan of the project.

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