Approximation Algorithms for the Star k-Hub Center Problem in Metric Graphs View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016-07-20

AUTHORS

Li-Hsuan Chen , Dun-Wei Cheng , Sun-Yuan Hsieh , Ling-Ju Hung , Chia-Wei Lee , Bang Ye Wu

ABSTRACT

Given a metric graph \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$G=(V, E, w)$$\end{document} and a center \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$c\in V$$\end{document}, and an integer k, the Stark-Hub Center Problem is to find a depth-2 spanning tree T of G rooted by c such that c has exactly k children and the diameter of T is minimized. Those children of c in T are called hubs. The Stark-Hub Center Problem is NP-hard. (Liang, Operations Research Letters, 2013) proved that for any \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\epsilon >0$$\end{document}, it is NP-hard to approximate the Stark-Hub Center Problem to within a ratio \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.25-\epsilon $$\end{document}. In the same paper, a 3.5-approximation algorithm was given for the Stark-Hub Center Problem. In this paper, we show that for any \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\epsilon > 0$$\end{document}, to approximate the Stark-Hub Center Problem to a ratio \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.5 - \epsilon $$\end{document} is NP-hard. Moreover, we give 2-approximation and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\frac{5}{3}$$\end{document}-approximation algorithms for the same problem. More... »

PAGES

222-234

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-42634-1_18

DOI

http://dx.doi.org/10.1007/978-3-319-42634-1_18

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017593052


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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0802", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Computation Theory and Mathematics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Computer Science and Information Engineering, National Chung Cheng University, 62102, Chiayi, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.412047.4", 
          "name": [
            "Department of Computer Science and Information Engineering, National Chung Cheng University, 62102, Chiayi, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Li-Hsuan", 
        "id": "sg:person.014055212561.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014055212561.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.64523.36", 
          "name": [
            "Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheng", 
        "givenName": "Dun-Wei", 
        "id": "sg:person.013576160001.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013576160001.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.64523.36", 
          "name": [
            "Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hsieh", 
        "givenName": "Sun-Yuan", 
        "id": "sg:person.012542161655.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012542161655.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.64523.36", 
          "name": [
            "Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hung", 
        "givenName": "Ling-Ju", 
        "id": "sg:person.014652573161.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014652573161.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.64523.36", 
          "name": [
            "Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Chia-Wei", 
        "id": "sg:person.013575542172.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013575542172.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Computer Science and Information Engineering, National Chung Cheng University, 62102, Chiayi, Taiwan", 
          "id": "http://www.grid.ac/institutes/grid.412047.4", 
          "name": [
            "Department of Computer Science and Information Engineering, National Chung Cheng University, 62102, Chiayi, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Bang Ye", 
        "id": "sg:person.013045767237.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013045767237.23"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2016-07-20", 
    "datePublishedReg": "2016-07-20", 
    "description": "Given a metric graph \\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$G=(V, E, w)$$\\end{document} and a center \\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$c\\in V$$\\end{document}, and an integer k, the Stark-Hub Center Problem is to find a depth-2 spanning tree T of G rooted by c such that c has exactly k children and the diameter of T is minimized. Those children of c in T are called hubs. The Stark-Hub Center Problem is NP-hard. (Liang, Operations Research Letters, 2013) proved that for any \\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$\\epsilon >0$$\\end{document}, it is NP-hard to approximate the Stark-Hub Center Problem to within a ratio \\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$1.25-\\epsilon $$\\end{document}. In the same paper, a 3.5-approximation algorithm was given for the Stark-Hub Center Problem. In this paper, we show that for any \\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$\\epsilon > 0$$\\end{document}, to approximate the Stark-Hub Center Problem to a ratio \\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$1.5 - \\epsilon $$\\end{document} is NP-hard. Moreover, we give 2-approximation and \\documentclass[12pt]{minimal}\n\t\t\t\t\\usepackage{amsmath}\n\t\t\t\t\\usepackage{wasysym}\n\t\t\t\t\\usepackage{amsfonts}\n\t\t\t\t\\usepackage{amssymb}\n\t\t\t\t\\usepackage{amsbsy}\n\t\t\t\t\\usepackage{mathrsfs}\n\t\t\t\t\\usepackage{upgreek}\n\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\n\t\t\t\t\\begin{document}$$\\frac{5}{3}$$\\end{document}-approximation algorithms for the same problem.", 
    "editor": [
      {
        "familyName": "Dinh", 
        "givenName": "Thang N.", 
        "type": "Person"
      }, 
      {
        "familyName": "Thai", 
        "givenName": "My T.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-42634-1_18", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-42633-4", 
        "978-3-319-42634-1"
      ], 
      "name": "Computing and Combinatorics", 
      "type": "Book"
    }, 
    "keywords": [
      "children", 
      "center", 
      "ratio", 
      "diameter", 
      "problem", 
      "hub", 
      "NP", 
      "same paper", 
      "same problem", 
      "star k", 
      "paper", 
      "algorithm", 
      "graph", 
      "integer k", 
      "metric graphs", 
      "center problem", 
      "tree T", 
      "approximation algorithm", 
      "Stark-Hub Center Problem", 
      "depth-2 spanning tree T", 
      "spanning tree T", 
      "hub center problem"
    ], 
    "name": "Approximation Algorithms for the Star k-Hub Center Problem in Metric Graphs", 
    "pagination": "222-234", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1017593052"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-42634-1_18"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-42634-1_18", 
      "https://app.dimensions.ai/details/publication/pub.1017593052"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-12-01T20:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/chapter/chapter_413.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-319-42634-1_18"
  }
]
 

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.10.1007/978-3-319-42634-1_18'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-42634-1_18'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-42634-1_18'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-42634-1_18'


 

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

125 TRIPLES      23 PREDICATES      47 URIs      40 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-42634-1_18 schema:about anzsrc-for:08
2 anzsrc-for:0802
3 schema:author Na7e0eb7326cc442ca1d468586e69ca4f
4 schema:datePublished 2016-07-20
5 schema:datePublishedReg 2016-07-20
6 schema:description Given a metric graph \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$G=(V, E, w)$$\end{document} and a center \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$c\in V$$\end{document}, and an integer k, the Stark-Hub Center Problem is to find a depth-2 spanning tree T of G rooted by c such that c has exactly k children and the diameter of T is minimized. Those children of c in T are called hubs. The Stark-Hub Center Problem is NP-hard. (Liang, Operations Research Letters, 2013) proved that for any \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\epsilon >0$$\end{document}, it is NP-hard to approximate the Stark-Hub Center Problem to within a ratio \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.25-\epsilon $$\end{document}. In the same paper, a 3.5-approximation algorithm was given for the Stark-Hub Center Problem. In this paper, we show that for any \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\epsilon > 0$$\end{document}, to approximate the Stark-Hub Center Problem to a ratio \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1.5 - \epsilon $$\end{document} is NP-hard. Moreover, we give 2-approximation and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\frac{5}{3}$$\end{document}-approximation algorithms for the same problem.
7 schema:editor N7b70e2c7853d4e7ea632a99e423d9397
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N0d00bfa608f64fac839a3ca7c5df0498
12 schema:keywords NP
13 Stark-Hub Center Problem
14 algorithm
15 approximation algorithm
16 center
17 center problem
18 children
19 depth-2 spanning tree T
20 diameter
21 graph
22 hub
23 hub center problem
24 integer k
25 metric graphs
26 paper
27 problem
28 ratio
29 same paper
30 same problem
31 spanning tree T
32 star k
33 tree T
34 schema:name Approximation Algorithms for the Star k-Hub Center Problem in Metric Graphs
35 schema:pagination 222-234
36 schema:productId N07adf4911ad747e99f10e38ed1b3d6ba
37 N2cbaf9cd553147159e4d957869fdbff0
38 schema:publisher Nc1368d1fb522486e98fdb3314b1cbae7
39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017593052
40 https://doi.org/10.1007/978-3-319-42634-1_18
41 schema:sdDatePublished 2021-12-01T20:09
42 schema:sdLicense https://scigraph.springernature.com/explorer/license/
43 schema:sdPublisher N18f71a89041c45ecaf25c73105399862
44 schema:url https://doi.org/10.1007/978-3-319-42634-1_18
45 sgo:license sg:explorer/license/
46 sgo:sdDataset chapters
47 rdf:type schema:Chapter
48 N07adf4911ad747e99f10e38ed1b3d6ba schema:name dimensions_id
49 schema:value pub.1017593052
50 rdf:type schema:PropertyValue
51 N0d00bfa608f64fac839a3ca7c5df0498 schema:isbn 978-3-319-42633-4
52 978-3-319-42634-1
53 schema:name Computing and Combinatorics
54 rdf:type schema:Book
55 N18f71a89041c45ecaf25c73105399862 schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 N2130ef9bed52410f849a595ff10004b7 rdf:first sg:person.012542161655.09
58 rdf:rest Nd34fd2eb9cc34a6b9ee398bfb8074493
59 N2cbaf9cd553147159e4d957869fdbff0 schema:name doi
60 schema:value 10.1007/978-3-319-42634-1_18
61 rdf:type schema:PropertyValue
62 N331d6f5508d14c2fb80cfb1f0b1a4020 schema:familyName Dinh
63 schema:givenName Thang N.
64 rdf:type schema:Person
65 N49190b7819d24bf482e02a7500d02542 rdf:first sg:person.013576160001.76
66 rdf:rest N2130ef9bed52410f849a595ff10004b7
67 N68cc1023162d470ebd8794fa50841b66 rdf:first Nde4ba64f20db4c448d6e32e0cfbba57d
68 rdf:rest rdf:nil
69 N7b70e2c7853d4e7ea632a99e423d9397 rdf:first N331d6f5508d14c2fb80cfb1f0b1a4020
70 rdf:rest N68cc1023162d470ebd8794fa50841b66
71 N94e99aac9b0c4e94afa5613297d506ce rdf:first sg:person.013575542172.63
72 rdf:rest Nf6810daac9e6479391b6bebfb530c722
73 Na7e0eb7326cc442ca1d468586e69ca4f rdf:first sg:person.014055212561.22
74 rdf:rest N49190b7819d24bf482e02a7500d02542
75 Nc1368d1fb522486e98fdb3314b1cbae7 schema:name Springer Nature
76 rdf:type schema:Organisation
77 Nd34fd2eb9cc34a6b9ee398bfb8074493 rdf:first sg:person.014652573161.60
78 rdf:rest N94e99aac9b0c4e94afa5613297d506ce
79 Nde4ba64f20db4c448d6e32e0cfbba57d schema:familyName Thai
80 schema:givenName My T.
81 rdf:type schema:Person
82 Nf6810daac9e6479391b6bebfb530c722 rdf:first sg:person.013045767237.23
83 rdf:rest rdf:nil
84 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
85 schema:name Information and Computing Sciences
86 rdf:type schema:DefinedTerm
87 anzsrc-for:0802 schema:inDefinedTermSet anzsrc-for:
88 schema:name Computation Theory and Mathematics
89 rdf:type schema:DefinedTerm
90 sg:person.012542161655.09 schema:affiliation grid-institutes:grid.64523.36
91 schema:familyName Hsieh
92 schema:givenName Sun-Yuan
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012542161655.09
94 rdf:type schema:Person
95 sg:person.013045767237.23 schema:affiliation grid-institutes:grid.412047.4
96 schema:familyName Wu
97 schema:givenName Bang Ye
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013045767237.23
99 rdf:type schema:Person
100 sg:person.013575542172.63 schema:affiliation grid-institutes:grid.64523.36
101 schema:familyName Lee
102 schema:givenName Chia-Wei
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013575542172.63
104 rdf:type schema:Person
105 sg:person.013576160001.76 schema:affiliation grid-institutes:grid.64523.36
106 schema:familyName Cheng
107 schema:givenName Dun-Wei
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013576160001.76
109 rdf:type schema:Person
110 sg:person.014055212561.22 schema:affiliation grid-institutes:grid.412047.4
111 schema:familyName Chen
112 schema:givenName Li-Hsuan
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014055212561.22
114 rdf:type schema:Person
115 sg:person.014652573161.60 schema:affiliation grid-institutes:grid.64523.36
116 schema:familyName Hung
117 schema:givenName Ling-Ju
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014652573161.60
119 rdf:type schema:Person
120 grid-institutes:grid.412047.4 schema:alternateName Department of Computer Science and Information Engineering, National Chung Cheng University, 62102, Chiayi, Taiwan
121 schema:name Department of Computer Science and Information Engineering, National Chung Cheng University, 62102, Chiayi, Taiwan
122 rdf:type schema:Organization
123 grid-institutes:grid.64523.36 schema:alternateName Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan
124 schema:name Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan
125 rdf:type schema:Organization
 




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


...