March 1, 2009 Thesis Open Access

Mesfin Agide

DCAT Export

<?xml version='1.0' encoding='utf-8'?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:adms="http://www.w3.org/ns/adms#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:dctype="http://purl.org/dc/dcmitype/" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:duv="http://www.w3.org/ns/duv#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:frapo="http://purl.org/cerif/frapo/" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:gsp="http://www.opengis.net/ont/geosparql#" xmlns:locn="http://www.w3.org/ns/locn#" xmlns:org="http://www.w3.org/ns/org#" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:prov="http://www.w3.org/ns/prov#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns:schema="http://schema.org/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#" xmlns:wdrs="http://www.w3.org/2007/05/powder-s#">
  <rdf:Description rdf:about="https://doi.org/10.20372/nadre:4930">
    <rdf:type rdf:resource="http://www.w3.org/ns/dcat#Dataset"/>
    <dct:type rdf:resource="http://purl.org/dc/dcmitype/Text"/>
    <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://doi.org/10.20372/nadre:4930</dct:identifier>
    <foaf:page rdf:resource="https://doi.org/10.20372/nadre:4930"/>
    <dct:creator>
      <rdf:Description>
        <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/>
        <foaf:name>Mesfin Agide</foaf:name>
      </rdf:Description>
    </dct:creator>
    <dct:title>Neural Network predictive process modeling: Application to food processing</dct:title>
    <dct:publisher>
      <foaf:Agent>
        <foaf:name>Zenodo</foaf:name>
      </foaf:Agent>
    </dct:publisher>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2009</dct:issued>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2009-03-01</dct:issued>
    <owl:sameAs rdf:resource="https://nadre.ethernet.edu.et/record/4930"/>
    <adms:identifier>
      <adms:Identifier>
        <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://nadre.ethernet.edu.et/record/4930</skos:notation>
        <adms:schemeAgency>url</adms:schemeAgency>
      </adms:Identifier>
    </adms:identifier>
    <dct:isVersionOf rdf:resource="https://doi.org/10.20372/nadre:4929"/>
    <dct:isPartOf rdf:resource="https://nadre.ethernet.edu.et/communities/aau"/>
    <dct:isPartOf rdf:resource="https://nadre.ethernet.edu.et/communities/zenodo"/>
    <dct:description>&lt;p&gt;Currently, food processing industry is driven by several requirements. This&lt;br&gt; requirement includes ensuring safety, meeting quality standard and customer&lt;br&gt; expectation and reducing production cost to be competent in market. To achieve&lt;br&gt; this requirement they have to operate at optimum process conditions all the time.&lt;br&gt; In food processing, due to the nature of the process, it is difficult to find and&lt;br&gt; operate at the best conditions solely by experience.&lt;br&gt; The Ethiopia food industry is no coping up with such requirement due cost&lt;br&gt; of optimization and low level of education of works operating in the production&lt;br&gt; system. Thus, it is necessary modeling of the process or part of the process to&lt;br&gt; capture the relation of between important process parameters and use the model to&lt;br&gt; control and improve the process better. In addition, it is found necessary to make&lt;br&gt; the model accessible for the operators working in Ethiopian industry. Using&lt;br&gt; artificial neural network method is found to be very good modeling to tool to solve&lt;br&gt; food engineering problems&lt;/p&gt;</dct:description>
    <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/>
    <dct:accessRights>
      <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess">
        <rdfs:label>Open Access</rdfs:label>
      </dct:RightsStatement>
    </dct:accessRights>
    <dcat:distribution>
      <dcat:Distribution>
        <dct:rights>
          <dct:RightsStatement rdf:about="http://www.opendefinition.org/licenses/cc-by">
            <rdfs:label>Creative Commons Attribution</rdfs:label>
          </dct:RightsStatement>
        </dct:rights>
        <dcat:accessURL rdf:resource="https://doi.org/10.20372/nadre:4930"/>
      </dcat:Distribution>
    </dcat:distribution>
    <dcat:distribution>
      <dcat:Distribution>
        <dcat:accessURL rdf:resource="https://doi.org/10.20372/nadre:4930"/>
        <dcat:byteSize>647925</dcat:byteSize>
        <dcat:downloadURL rdf:resource="https://nadre.ethernet.edu.et/record/4930/files/f1042664640.pdf"/>
        <dcat:mediaType>application/pdf</dcat:mediaType>
      </dcat:Distribution>
    </dcat:distribution>
  </rdf:Description>
</rdf:RDF>