A novel exploiting modification direction scheme and its application in quantum color image steganography View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-07-26

AUTHORS

Hong-wei Xie, Ya-jun Gao, Xi-lin Liu, Jun Zhang, Hao Zhang

ABSTRACT

This paper proposes a novel quantum color image steganography algorithm using an efficient embedding technique of exploiting modification direction (EMD). In this paper, the EMD algorithm is improved to reduce the number of modified pixels and smooth the noticeable changes at both ends of the histogram of hidden images. Besides, a fractional-order chaotic system is proposed to increase the security of secret information. The effective quantum circuit for the quantum steganography algorithm is also presented in this paper. The simulation and numerical analysis demonstrate that the proposed algorithm has good performance in imperceptibility analysis, capacity analysis and security analysis. More... »

PAGES

249

References to SciGraph publications

  • 2017-07-20. Quantum watermarking scheme through Arnold scrambling and LSB steganography in QUANTUM INFORMATION PROCESSING
  • 2021-02-05. An efficient quantum image steganography protocol based on improved EMD algorithm in QUANTUM INFORMATION PROCESSING
  • 2019-08-16. Two-level information hiding for quantum images using optimal LSB in QUANTUM INFORMATION PROCESSING
  • 2020-01-09. A secure image encryption scheme based on a novel 2D sine–cosine cross-chaotic (SC3) map in JOURNAL OF REAL-TIME IMAGE PROCESSING
  • 2017-08-22. A novel quantum LSB-based steganography method using the Gray code for colored quantum images in QUANTUM INFORMATION PROCESSING
  • 2021-09-02. Interpolation-Based High Capacity Quantum Image Steganography in INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
  • 2020-02-19. Fast image encryption algorithm with high security level using the Bülban chaotic map in JOURNAL OF REAL-TIME IMAGE PROCESSING
  • 2010-12-20. Existence Results for Nonlinear Fractional Difference Equation in ADVANCES IN CONTINUOUS AND DISCRETE MODELS
  • 2020-02-19. Efficient Implementation of Multi-image Secret Hiding Based on LSB and DWT Steganography Comparisons in ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
  • 2020-06-17. A new image encryption scheme based on coupling map lattices with mixed multi-chaos in SCIENTIFIC REPORTS
  • 2020-10-16. A secure controlled quantum image steganography algorithm in QUANTUM INFORMATION PROCESSING
  • 2017-05-31. Quantum realization of the bilinear interpolation method for NEQR in SCIENTIFIC REPORTS
  • 2020-03-16. Quantum image steganography algorithm based on modified exploiting modification direction embedding in QUANTUM INFORMATION PROCESSING
  • 2019-10-22. Traceable Quantum Steganography Scheme Based on Pixel Value Differencing in SCIENTIFIC REPORTS
  • 2015-04-16. LSB Based Quantum Image Steganography Algorithm in INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
  • 2018-04-03. Artificial bee colony approach for enhancing LSB based image steganography in MULTIMEDIA TOOLS AND APPLICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11128-022-03596-5

    DOI

    http://dx.doi.org/10.1007/s11128-022-03596-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1149788630


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Physical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0206", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Quantum Physics", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "College of Software, Taiyuan University of Technology, 030600, Jinzhong, China", 
              "id": "http://www.grid.ac/institutes/grid.440656.5", 
              "name": [
                "College of Software, Taiyuan University of Technology, 030600, Jinzhong, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xie", 
            "givenName": "Hong-wei", 
            "id": "sg:person.011713347673.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011713347673.51"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Software, Taiyuan University of Technology, 030600, Jinzhong, China", 
              "id": "http://www.grid.ac/institutes/grid.440656.5", 
              "name": [
                "College of Software, Taiyuan University of Technology, 030600, Jinzhong, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gao", 
            "givenName": "Ya-jun", 
            "id": "sg:person.012320165440.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012320165440.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Bigdata, Taiyuan University of Technology, 030600, Jinzhong, China", 
              "id": "http://www.grid.ac/institutes/grid.440656.5", 
              "name": [
                "College of Bigdata, Taiyuan University of Technology, 030600, Jinzhong, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Xi-lin", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Bigdata, Taiyuan University of Technology, 030600, Jinzhong, China", 
              "id": "http://www.grid.ac/institutes/grid.440656.5", 
              "name": [
                "College of Bigdata, Taiyuan University of Technology, 030600, Jinzhong, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Jun", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "College of Information and Computer, Taiyuan University of Technology, 030600, Jinzhong, China", 
              "id": "http://www.grid.ac/institutes/grid.440656.5", 
              "name": [
                "College of Information and Computer, Taiyuan University of Technology, 030600, Jinzhong, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Hao", 
            "id": "sg:person.01221306674.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221306674.97"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11128-020-02882-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1131842138", 
              "https://doi.org/10.1007/s11128-020-02882-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1155/2011/713201", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023497631", 
              "https://doi.org/10.1155/2011/713201"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11128-017-1640-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090832605", 
              "https://doi.org/10.1007/s11128-017-1640-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11042-018-5933-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101895794", 
              "https://doi.org/10.1007/s11042-018-5933-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-02575-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085634116", 
              "https://doi.org/10.1038/s41598-017-02575-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11128-019-2413-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1120369405", 
              "https://doi.org/10.1007/s11128-019-2413-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11128-017-1694-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091287439", 
              "https://doi.org/10.1007/s11128-017-1694-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13369-020-04413-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1125023185", 
              "https://doi.org/10.1007/s13369-020-04413-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10773-015-2640-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003779405", 
              "https://doi.org/10.1007/s10773-015-2640-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11554-020-00948-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1125023799", 
              "https://doi.org/10.1007/s11554-020-00948-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11554-019-00940-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1123980102", 
              "https://doi.org/10.1007/s11554-019-00940-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-019-51598-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1121997670", 
              "https://doi.org/10.1038/s41598-019-51598-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10773-021-04891-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1140862754", 
              "https://doi.org/10.1007/s10773-021-04891-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-020-66486-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1128522286", 
              "https://doi.org/10.1038/s41598-020-66486-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11128-021-02991-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1135167257", 
              "https://doi.org/10.1007/s11128-021-02991-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11128-020-02641-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1125681891", 
              "https://doi.org/10.1007/s11128-020-02641-5"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-07-26", 
        "datePublishedReg": "2022-07-26", 
        "description": "This paper proposes a novel quantum color image steganography algorithm using an efficient embedding technique of exploiting modification direction (EMD). In this paper, the EMD algorithm is improved to reduce the number of modified pixels and smooth the noticeable changes at both ends of the histogram of hidden images. Besides, a fractional-order chaotic system is proposed to increase the security of secret information. The effective quantum circuit for the quantum steganography algorithm is also presented in this paper. The simulation and numerical analysis demonstrate that the proposed algorithm has good performance in imperceptibility analysis, capacity analysis and security analysis.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s11128-022-03596-5", 
        "isAccessibleForFree": false, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.8308416", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1052742", 
            "issn": [
              "1570-0755", 
              "1573-1332"
            ], 
            "name": "Quantum Information Processing", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "7", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "21"
          }
        ], 
        "keywords": [
          "quantum circuits", 
          "noticeable changes", 
          "numerical analysis", 
          "image steganography algorithm", 
          "simulations", 
          "chaotic systems", 
          "direction", 
          "pixels", 
          "circuit", 
          "technique", 
          "images", 
          "secret information", 
          "applications", 
          "scheme", 
          "system", 
          "security analysis", 
          "analysis", 
          "paper", 
          "steganography algorithm", 
          "better performance", 
          "histogram", 
          "efficient embedding technique", 
          "number", 
          "information", 
          "performance", 
          "color image steganography", 
          "embedding techniques", 
          "changes", 
          "imperceptibility analysis", 
          "image steganography", 
          "algorithm", 
          "modification direction", 
          "end", 
          "direction scheme", 
          "steganography", 
          "EMD algorithm", 
          "fractional-order chaotic systems", 
          "security", 
          "capacity analysis"
        ], 
        "name": "A novel exploiting modification direction scheme and its application in quantum color image steganography", 
        "pagination": "249", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1149788630"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11128-022-03596-5"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11128-022-03596-5", 
          "https://app.dimensions.ai/details/publication/pub.1149788630"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T16:08", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_936.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s11128-022-03596-5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11128-022-03596-5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11128-022-03596-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11128-022-03596-5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11128-022-03596-5'


     

    This table displays all metadata directly associated to this object as RDF triples.

    192 TRIPLES      21 PREDICATES      79 URIs      55 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11128-022-03596-5 schema:about anzsrc-for:02
    2 anzsrc-for:0206
    3 schema:author Ne4f6df5e0d2f4c60bc8136094c83eda4
    4 schema:citation sg:pub.10.1007/s10773-015-2640-0
    5 sg:pub.10.1007/s10773-021-04891-0
    6 sg:pub.10.1007/s11042-018-5933-5
    7 sg:pub.10.1007/s11128-017-1640-9
    8 sg:pub.10.1007/s11128-017-1694-8
    9 sg:pub.10.1007/s11128-019-2413-4
    10 sg:pub.10.1007/s11128-020-02641-5
    11 sg:pub.10.1007/s11128-020-02882-4
    12 sg:pub.10.1007/s11128-021-02991-8
    13 sg:pub.10.1007/s11554-019-00940-4
    14 sg:pub.10.1007/s11554-020-00948-1
    15 sg:pub.10.1007/s13369-020-04413-w
    16 sg:pub.10.1038/s41598-017-02575-6
    17 sg:pub.10.1038/s41598-019-51598-8
    18 sg:pub.10.1038/s41598-020-66486-9
    19 sg:pub.10.1155/2011/713201
    20 schema:datePublished 2022-07-26
    21 schema:datePublishedReg 2022-07-26
    22 schema:description This paper proposes a novel quantum color image steganography algorithm using an efficient embedding technique of exploiting modification direction (EMD). In this paper, the EMD algorithm is improved to reduce the number of modified pixels and smooth the noticeable changes at both ends of the histogram of hidden images. Besides, a fractional-order chaotic system is proposed to increase the security of secret information. The effective quantum circuit for the quantum steganography algorithm is also presented in this paper. The simulation and numerical analysis demonstrate that the proposed algorithm has good performance in imperceptibility analysis, capacity analysis and security analysis.
    23 schema:genre article
    24 schema:isAccessibleForFree false
    25 schema:isPartOf N090e72ba52a54f45bd2d2ddbcd8e8b03
    26 N4b1a18a5161b4035a52a6cbadfaeb57e
    27 sg:journal.1052742
    28 schema:keywords EMD algorithm
    29 algorithm
    30 analysis
    31 applications
    32 better performance
    33 capacity analysis
    34 changes
    35 chaotic systems
    36 circuit
    37 color image steganography
    38 direction
    39 direction scheme
    40 efficient embedding technique
    41 embedding techniques
    42 end
    43 fractional-order chaotic systems
    44 histogram
    45 image steganography
    46 image steganography algorithm
    47 images
    48 imperceptibility analysis
    49 information
    50 modification direction
    51 noticeable changes
    52 number
    53 numerical analysis
    54 paper
    55 performance
    56 pixels
    57 quantum circuits
    58 scheme
    59 secret information
    60 security
    61 security analysis
    62 simulations
    63 steganography
    64 steganography algorithm
    65 system
    66 technique
    67 schema:name A novel exploiting modification direction scheme and its application in quantum color image steganography
    68 schema:pagination 249
    69 schema:productId N05caa0cb8ec24f41b044fc98eaeb2cca
    70 N4f57c994785148b4bbd9231b572e7396
    71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1149788630
    72 https://doi.org/10.1007/s11128-022-03596-5
    73 schema:sdDatePublished 2022-09-02T16:08
    74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    75 schema:sdPublisher N7f8c6d3cbd0b4f8baa47a63877eaa590
    76 schema:url https://doi.org/10.1007/s11128-022-03596-5
    77 sgo:license sg:explorer/license/
    78 sgo:sdDataset articles
    79 rdf:type schema:ScholarlyArticle
    80 N04b2bc669c234f12809ad882bb43e75b rdf:first sg:person.012320165440.89
    81 rdf:rest Nf40b6eafbfb54b90a565db3bbd491ff9
    82 N05caa0cb8ec24f41b044fc98eaeb2cca schema:name doi
    83 schema:value 10.1007/s11128-022-03596-5
    84 rdf:type schema:PropertyValue
    85 N090e72ba52a54f45bd2d2ddbcd8e8b03 schema:issueNumber 7
    86 rdf:type schema:PublicationIssue
    87 N45e3bbe04d6e4ac2b898ef1da3dfcf71 rdf:first Ncbbd457258c2407baadedb9fe7282a9e
    88 rdf:rest N5028c9d0c96648459d1e4f7db718186f
    89 N4b1a18a5161b4035a52a6cbadfaeb57e schema:volumeNumber 21
    90 rdf:type schema:PublicationVolume
    91 N4f57c994785148b4bbd9231b572e7396 schema:name dimensions_id
    92 schema:value pub.1149788630
    93 rdf:type schema:PropertyValue
    94 N5028c9d0c96648459d1e4f7db718186f rdf:first sg:person.01221306674.97
    95 rdf:rest rdf:nil
    96 N7f8c6d3cbd0b4f8baa47a63877eaa590 schema:name Springer Nature - SN SciGraph project
    97 rdf:type schema:Organization
    98 Nbfaff87aec504a7cb8d5c5a1d23cb032 schema:affiliation grid-institutes:grid.440656.5
    99 schema:familyName Liu
    100 schema:givenName Xi-lin
    101 rdf:type schema:Person
    102 Ncbbd457258c2407baadedb9fe7282a9e schema:affiliation grid-institutes:grid.440656.5
    103 schema:familyName Zhang
    104 schema:givenName Jun
    105 rdf:type schema:Person
    106 Ne4f6df5e0d2f4c60bc8136094c83eda4 rdf:first sg:person.011713347673.51
    107 rdf:rest N04b2bc669c234f12809ad882bb43e75b
    108 Nf40b6eafbfb54b90a565db3bbd491ff9 rdf:first Nbfaff87aec504a7cb8d5c5a1d23cb032
    109 rdf:rest N45e3bbe04d6e4ac2b898ef1da3dfcf71
    110 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
    111 schema:name Physical Sciences
    112 rdf:type schema:DefinedTerm
    113 anzsrc-for:0206 schema:inDefinedTermSet anzsrc-for:
    114 schema:name Quantum Physics
    115 rdf:type schema:DefinedTerm
    116 sg:grant.8308416 http://pending.schema.org/fundedItem sg:pub.10.1007/s11128-022-03596-5
    117 rdf:type schema:MonetaryGrant
    118 sg:journal.1052742 schema:issn 1570-0755
    119 1573-1332
    120 schema:name Quantum Information Processing
    121 schema:publisher Springer Nature
    122 rdf:type schema:Periodical
    123 sg:person.011713347673.51 schema:affiliation grid-institutes:grid.440656.5
    124 schema:familyName Xie
    125 schema:givenName Hong-wei
    126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011713347673.51
    127 rdf:type schema:Person
    128 sg:person.01221306674.97 schema:affiliation grid-institutes:grid.440656.5
    129 schema:familyName Zhang
    130 schema:givenName Hao
    131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01221306674.97
    132 rdf:type schema:Person
    133 sg:person.012320165440.89 schema:affiliation grid-institutes:grid.440656.5
    134 schema:familyName Gao
    135 schema:givenName Ya-jun
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012320165440.89
    137 rdf:type schema:Person
    138 sg:pub.10.1007/s10773-015-2640-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003779405
    139 https://doi.org/10.1007/s10773-015-2640-0
    140 rdf:type schema:CreativeWork
    141 sg:pub.10.1007/s10773-021-04891-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140862754
    142 https://doi.org/10.1007/s10773-021-04891-0
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1007/s11042-018-5933-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101895794
    145 https://doi.org/10.1007/s11042-018-5933-5
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/s11128-017-1640-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090832605
    148 https://doi.org/10.1007/s11128-017-1640-9
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/s11128-017-1694-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091287439
    151 https://doi.org/10.1007/s11128-017-1694-8
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/s11128-019-2413-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120369405
    154 https://doi.org/10.1007/s11128-019-2413-4
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/s11128-020-02641-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125681891
    157 https://doi.org/10.1007/s11128-020-02641-5
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s11128-020-02882-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1131842138
    160 https://doi.org/10.1007/s11128-020-02882-4
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s11128-021-02991-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1135167257
    163 https://doi.org/10.1007/s11128-021-02991-8
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/s11554-019-00940-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1123980102
    166 https://doi.org/10.1007/s11554-019-00940-4
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1007/s11554-020-00948-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125023799
    169 https://doi.org/10.1007/s11554-020-00948-1
    170 rdf:type schema:CreativeWork
    171 sg:pub.10.1007/s13369-020-04413-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1125023185
    172 https://doi.org/10.1007/s13369-020-04413-w
    173 rdf:type schema:CreativeWork
    174 sg:pub.10.1038/s41598-017-02575-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085634116
    175 https://doi.org/10.1038/s41598-017-02575-6
    176 rdf:type schema:CreativeWork
    177 sg:pub.10.1038/s41598-019-51598-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1121997670
    178 https://doi.org/10.1038/s41598-019-51598-8
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1038/s41598-020-66486-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1128522286
    181 https://doi.org/10.1038/s41598-020-66486-9
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1155/2011/713201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023497631
    184 https://doi.org/10.1155/2011/713201
    185 rdf:type schema:CreativeWork
    186 grid-institutes:grid.440656.5 schema:alternateName College of Bigdata, Taiyuan University of Technology, 030600, Jinzhong, China
    187 College of Information and Computer, Taiyuan University of Technology, 030600, Jinzhong, China
    188 College of Software, Taiyuan University of Technology, 030600, Jinzhong, China
    189 schema:name College of Bigdata, Taiyuan University of Technology, 030600, Jinzhong, China
    190 College of Information and Computer, Taiyuan University of Technology, 030600, Jinzhong, China
    191 College of Software, Taiyuan University of Technology, 030600, Jinzhong, China
    192 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...