Herramienta de chequeo de registro xml obtenido desde SEDICI (UNLP)

XML

<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>I19-R120-10915-9707</identifier><datestamp>2019-06-22T20:03:38Z</datestamp>
<dc:identifier>http://sedici.unlp.edu.ar/handle/10915/9707</dc:identifier>
<dc:identifier>http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr12-1.pdf</dc:identifier>
<dc:identifier>issn:1666-6038</dc:identifier>
<dc:title>High Performance Customizable Architecture for Machine Vision Applications</dc:title>
<dc:creator>Leiva, Lucas</dc:creator>
<dc:creator>Acosta, Nelson</dc:creator>
<dc:date>2012-04</dc:date>
<dc:date>2012-04-09T03:00:00Z</dc:date>
<dc:language>en</dc:language>
<dc:subject>Informática</dc:subject>
<dc:subject>video processing</dc:subject>
<dc:subject>machine vision</dc:subject>
<dc:subject>FPGA</dc:subject>
<dc:subject>IMAGE PROCESSING AND COMPUTER VISION</dc:subject>
<dc:description>Vision based applications are present anywhere. A special market is industry, allowing to improve product quality and to reduce manufacturing costs. The vision systems applied to industries are known as machine vision systems. These systems must meet time constraints to operate in real time. Generally the production lines are more and more fasters, and the time to process and bring a response is minimal. For this reasons, dedicated architectures are emplaced. In this work a review of several commercial systems is presented, as well a proposed architecture is depicted. The architecture is concern as a customizable platform, avoiding having knowledge in hardware description languages. It is based on massive parallelism to achieve the maximum processing performance. Several optimizations at different levels are applied to increase the final system speedup. Also, time and area metrics are reported, showing that the architecture is well suitable for real time video processing in industrial applications.</dc:description>
<dc:description>Facultad de Informática</dc:description>
<dc:type>Articulo</dc:type>
<dc:type>Articulo</dc:type>
<dc:rights>http://creativecommons.org/licenses/by-nc/3.0/</dc:rights>
<dc:rights>Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:format>1-8</dc:format>
</oai_dc:dc>

Datos convertidos

{
    "id": "I19-R120-10915-9707",
    "record_format": "dspace",
    "spelling": [
        "I19-R120-10915-97072019-06-22T20:03:38Z http:\/\/sedici.unlp.edu.ar\/handle\/10915\/9707 http:\/\/journal.info.unlp.edu.ar\/wp-content\/uploads\/JCST-Apr12-1.pdf issn:1666-6038 High Performance Customizable Architecture for Machine Vision Applications Leiva, Lucas Acosta, Nelson 2012-04 2012-04-09T03:00:00Z en Inform\u00e1tica video processing machine vision FPGA IMAGE PROCESSING AND COMPUTER VISION Vision based applications are present anywhere. A special market is industry, allowing to improve product quality and to reduce manufacturing costs. The vision systems applied to industries are known as machine vision systems. These systems must meet time constraints to operate in real time. Generally the production lines are more and more fasters, and the time to process and bring a response is minimal. For this reasons, dedicated architectures are emplaced. In this work a review of several commercial systems is presented, as well a proposed architecture is depicted. The architecture is concern as a customizable platform, avoiding having knowledge in hardware description languages. It is based on massive parallelism to achieve the maximum processing performance. Several optimizations at different levels are applied to increase the final system speedup. Also, time and area metrics are reported, showing that the architecture is well suitable for real time video processing in industrial applications. Facultad de Inform\u00e1tica Articulo Articulo http:\/\/creativecommons.org\/licenses\/by-nc\/3.0\/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) application\/pdf 1-8"
    ],
    "institution": [
        "Universidad Nacional de La Plata"
    ],
    "institution_str": "I-19",
    "repository_str": "R-120",
    "collection": [
        "SEDICI (UNLP)"
    ],
    "language": [
        "Ingl\u00e9s"
    ],
    "topic": [
        "Inform\u00e1tica",
        "video processing",
        "machine vision",
        "FPGA",
        "IMAGE PROCESSING AND COMPUTER VISION"
    ],
    "spellingShingle": [
        "Inform\u00e1tica",
        "video processing",
        "machine vision",
        "FPGA",
        "IMAGE PROCESSING AND COMPUTER VISION",
        "Leiva, Lucas",
        "Acosta, Nelson",
        "High Performance Customizable Architecture for Machine Vision Applications"
    ],
    "topic_facet": [
        "Inform\u00e1tica",
        "video processing",
        "machine vision",
        "FPGA",
        "IMAGE PROCESSING AND COMPUTER VISION"
    ],
    "description": "Vision based applications are present anywhere. A special market is industry, allowing to improve product quality and to reduce manufacturing costs. The vision systems applied to industries are known as machine vision systems. These systems must meet time constraints to operate in real time. Generally the production lines are more and more fasters, and the time to process and bring a response is minimal. For this reasons, dedicated architectures are emplaced. In this work a review of several commercial systems is presented, as well a proposed architecture is depicted. The architecture is concern as a customizable platform, avoiding having knowledge in hardware description languages. It is based on massive parallelism to achieve the maximum processing performance. Several optimizations at different levels are applied to increase the final system speedup. Also, time and area metrics are reported, showing that the architecture is well suitable for real time video processing in industrial applications.",
    "format": [
        "Articulo",
        "Articulo"
    ],
    "author": [
        "Leiva, Lucas",
        "Acosta, Nelson"
    ],
    "author_facet": [
        "Leiva, Lucas",
        "Acosta, Nelson"
    ],
    "author_sort": "Leiva, Lucas",
    "title": "High Performance Customizable Architecture for Machine Vision Applications",
    "title_short": "High Performance Customizable Architecture for Machine Vision Applications",
    "title_full": "High Performance Customizable Architecture for Machine Vision Applications",
    "title_fullStr": "High Performance Customizable Architecture for Machine Vision Applications",
    "title_full_unstemmed": "High Performance Customizable Architecture for Machine Vision Applications",
    "title_sort": "high performance customizable architecture for machine vision applications",
    "publishDate": [
        "2012"
    ],
    "url": [
        "http:\/\/sedici.unlp.edu.ar\/handle\/10915\/9707",
        "http:\/\/journal.info.unlp.edu.ar\/wp-content\/uploads\/JCST-Apr12-1.pdf"
    ],
    "work_keys_str_mv": [
        "AT leivalucas highperformancecustomizablearchitectureformachinevisionapplications",
        "AT acostanelson highperformancecustomizablearchitectureformachinevisionapplications"
    ],
    "_version_": 1734115007258427392
}