1 Ocak 2018 Dergi makalesi Açık Erişim

Kocak, Onur; Sulak, Fatih; Doganaksoy, Ali; Uguz, Muhiddin

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/93463</identifier>
  <creators>
    <creator>
      <creatorName>Kocak, Onur</creatorName>
      <givenName>Onur</givenName>
      <familyName>Kocak</familyName>
      <affiliation>TUBITAK BILGEM UEKAE, Gebze, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Sulak, Fatih</creatorName>
      <givenName>Fatih</givenName>
      <familyName>Sulak</familyName>
      <affiliation>Atilim Univ, Dept Math, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Doganaksoy, Ali</creatorName>
      <givenName>Ali</givenName>
      <familyName>Doganaksoy</familyName>
      <affiliation>Middle East Tech Univ, Dept Math, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Uguz, Muhiddin</creatorName>
      <givenName>Muhiddin</givenName>
      <familyName>Uguz</familyName>
      <affiliation>Middle East Tech Univ, Dept Math, Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Modifications Of Knuth Randomness Tests For Integer And Binary Sequences</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/93463</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1501/Commua1_0000000862</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">Generating random numbers and random sequences that are indistinguishable from truly random sequences is an important task for cryptography. To measure the randomness, statistical randomness tests are applied to the generated numbers and sequences. Knuth test suite is the one of the first statistical randomness suites. This suite, however, is mostly for real number sequences and the parameters of the tests are not given explicitly.</description>
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