Network on chip for enterprise information management and integration in intelligent physical systems

Recently, solution of discretisation operator technique with circular (DOTWC) approach, and runge-kutta implicit are presented for the Eigen efficient analysis, in this paper based on the various surveys it has been analysed that the efficiency is considered as low and computational burden terms to...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Enterprise information systems Ročník 15; číslo 7; s. 935 - 950
Hlavní autoři: Chen, Guobin, Li, Shijin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Taylor & Francis 09.08.2021
Témata:
computational Algorithms
Eigen Efficient Analysis
intelligent Physical System and Deep Learning Reinforcement
ira
ISSN:1751-7575, 1751-7583
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Recently, solution of discretisation operator technique with circular (DOTWC) approach, and runge-kutta implicit are presented for the Eigen efficient analysis, in this paper based on the various surveys it has been analysed that the efficiency is considered as low and computational burden terms to be high. Henceforth, the implicitly of the restarted Arnoldi (IRA) with intelligent physical system (IPS) with IOT algorithm is implemented for the computational Eigenvalues of critical solution operators in discretized matrices to optimise efficiency and computational burden. Furthermore, we have proposed the Advancement Deep Learning Reinforcement (ADLR) algorithms to improve the efficiency and existing of scalability of the intelligent physical system.
AbstractList Recently, solution of discretisation operator technique with circular (DOTWC) approach, and runge-kutta implicit are presented for the Eigen efficient analysis, in this paper based on the various surveys it has been analysed that the efficiency is considered as low and computational burden terms to be high. Henceforth, the implicitly of the restarted Arnoldi (IRA) with intelligent physical system (IPS) with IOT algorithm is implemented for the computational Eigenvalues of critical solution operators in discretized matrices to optimise efficiency and computational burden. Furthermore, we have proposed the Advancement Deep Learning Reinforcement (ADLR) algorithms to improve the efficiency and existing of scalability of the intelligent physical system.
Author Chen, Guobin
Li, Shijin
Author_xml – sequence: 1
  givenname: Guobin
  surname: Chen
  fullname: Chen, Guobin
  organization: Rongzhi College of Chongqing Technology and Business University
– sequence: 2
  givenname: Shijin
  surname: Li
  fullname: Li, Shijin
  email: lee_shijin@sina.com
  organization: Yunnan University of Finance and Economics
BookMark eNqFkF1LwzAUhoNMcJv-BKF_oDNpm50Ub5ThFwy92X04TdMt2qYjCUj_vek2vfBCIZDkfXgPnGdGJra3mpBrRheMCnrDgMcDfJHRLEaQUZGJMzId8xS4yCc_b-AXZOb9O6VLQYFPiX7V4bN3H0lvE7Uz-6TpXaJt0G7vjNeJsTHoMJjIO7S41V2kCdo6oqC37oiMPXzb1mxHvN8N3ihsEz_4oDt_Sc4bbL2-Ot1zsnl82Kye0_Xb08vqfp2qnNGQcrqsoFRlxRAbSkWNgkOBuaBMLTkAb6CooQaoqqIoMyxYBVgCFLzKRKXzOeHHscr13jvdyLhEh26QjMpRlfxWJUdV8qQq9m5_9ZQJh8WCQ9P-2747tk-uos62lgGHtneNQ6uMl_nfI74AmcmGYw
CitedBy_id crossref_primary_10_1155_2022_9658735
crossref_primary_10_1155_2021_7960972
crossref_primary_10_1155_2022_2654892
crossref_primary_10_1155_2022_6117804
crossref_primary_10_1155_2022_3323866
crossref_primary_10_1155_2022_4556135
crossref_primary_10_1155_2022_6800135
crossref_primary_10_1155_2022_9467095
crossref_primary_10_1080_17517575_2021_1948613
crossref_primary_10_1155_2022_4663574
crossref_primary_10_1155_2022_4502430
crossref_primary_10_1155_2022_3786707
crossref_primary_10_1155_2022_6405903
crossref_primary_10_1155_2022_7276756
crossref_primary_10_1155_2022_6567123
Cites_doi 10.1109/MICRO.2018.00061
10.1145/2818950.2818951
10.2200/S00772ED1V01Y201704CAC040
10.1109/TPDS.2015.2465905
10.1177/1753193415591491
10.1109/TC.2018.2875476
10.1109/APCCAS.2018.8605639
10.1007/s10653-010-9355-1
10.1145/3132402.3132405
10.1109/HPCA.2018.00049
ContentType Journal Article
Copyright 2020 Informa UK Limited, trading as Taylor & Francis Group 2020
Copyright_xml – notice: 2020 Informa UK Limited, trading as Taylor & Francis Group 2020
DBID AAYXX
CITATION
DOI 10.1080/17517575.2020.1720828
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1751-7583
EndPage 950
ExternalDocumentID 10_1080_17517575_2020_1720828
1720828
Genre Research Article
GroupedDBID .7F
0BK
0R~
30N
4.4
8VB
AAGDL
AAHIA
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
ABCCY
ABFIM
ABJNI
ABLIJ
ABPAQ
ABPEM
ABTAI
ABXUL
ABXYU
ACGFS
ACTIO
ADCVX
ADGTB
ADMLS
AEISY
AENEX
AEYOC
AFRVT
AGDLA
AHDZW
AHQJS
AIJEM
AIYEW
AKBVH
AKOOK
AKVCP
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AQTUD
AVBZW
AWYRJ
BLEHA
CCCUG
CE4
CS3
DGEBU
DKSSO
DU5
EBS
EBU
E~A
E~B
GTTXZ
H13
HZ~
H~P
IPNFZ
J~4
K1G
KYCEM
LJTGL
M4Z
MK~
O9-
P2P
QWB
RIG
RNANH
ROSJB
RTWRZ
S-T
SNACF
TASJS
TBQAZ
TDBHL
TEN
TFL
TFT
TFW
TH9
TTHFI
TUROJ
TWF
TWQ
UT5
UU3
ZGOLN
ZL0
AAYXX
CITATION
ID FETCH-LOGICAL-c310t-506b79c9b1aaf008da8574a3801c65775f74d7d77bb4492a41b7a97745b28be3
IEDL.DBID TFW
ISICitedReferencesCount 18
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000513466500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1751-7575
IngestDate Tue Nov 18 22:27:30 EST 2025
Sat Nov 29 06:46:09 EST 2025
Mon Oct 20 23:47:38 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 7
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c310t-506b79c9b1aaf008da8574a3801c65775f74d7d77bb4492a41b7a97745b28be3
PageCount 16
ParticipantIDs informaworld_taylorfrancis_310_1080_17517575_2020_1720828
crossref_primary_10_1080_17517575_2020_1720828
crossref_citationtrail_10_1080_17517575_2020_1720828
PublicationCentury 2000
PublicationDate 2021-08-09
PublicationDateYYYYMMDD 2021-08-09
PublicationDate_xml – month: 08
  year: 2021
  text: 2021-08-09
  day: 09
PublicationDecade 2020
PublicationTitle Enterprise information systems
PublicationYear 2021
Publisher Taylor & Francis
Publisher_xml – name: Taylor & Francis
References Hong B. (cit0007) 2018
cit0012
Liang M. (cit0011) 2018
Farrokhbakht H. (cit0004) 2016
McKeown M. (cit0014) 2018
Xing Z. (cit0018) 2018
Zeng Y. (cit0020) 2017
Gregor M. (cit0006) 2018
Yin J. (cit0019) 2018
Alazemi F. (cit0001) 2018
Kwon H. (cit0010) 2017
Teran E. (cit0016) 2016
cit0008
cit0009
Reagen B. (cit0015) 2017
cit0017
cit0005
cit0002
Loh G. H. (cit0013) 2015
Das S. (cit0003) 2016
References_xml – start-page: 762
  volume-title: HPCA, Austria
  year: 2018
  ident: cit0014
– start-page: 682
  volume-title: 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Japan
  year: 2018
  ident: cit0007
  doi: 10.1109/MICRO.2018.00061
– start-page: 3
  volume-title: Proceedings of the 2015 international symposium on Memory Systems, USA
  year: 2015
  ident: cit0013
  doi: 10.1145/2818950.2818951
– ident: cit0008
  doi: 10.2200/S00772ED1V01Y201704CAC040
– start-page: 1
  volume-title: 2017 Eleventh IEEE/ACM International Symposium on Networks-on-Chip (NOCS), South Korea
  year: 2017
  ident: cit0010
– start-page: 1
  volume-title: 2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Taiwan
  year: 2017
  ident: cit0015
– ident: cit0017
– ident: cit0012
  doi: 10.1109/TPDS.2015.2465905
– start-page: 726
  volume-title: Proceedings of the 45th Annual International Symposium on Computer Architecture,USA
  year: 2018
  ident: cit0019
– start-page: 57
  volume-title: Proceedings of the 35th International Conference on Computer-Aided Design, USA
  year: 2016
  ident: cit0003
– ident: cit0002
  doi: 10.1177/1753193415591491
– ident: cit0005
  doi: 10.1109/TC.2018.2875476
– start-page: 1
  volume-title: 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Taiwan
  year: 2016
  ident: cit0016
– start-page: 613
  volume-title: International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
  year: 2018
  ident: cit0018
– start-page: 540
  volume-title: 2018 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), China
  year: 2018
  ident: cit0011
  doi: 10.1109/APCCAS.2018.8605639
– ident: cit0009
  doi: 10.1007/s10653-010-9355-1
– start-page: 305
  volume-title: Proceedings of the International Symposium on Memory Systems, Alexandria Virginia
  year: 2017
  ident: cit0020
  doi: 10.1145/3132402.3132405
– start-page: 1
  volume-title: 2016 Tenth IEEE/ACM International Symposium on Networks-on-Chip (NOCS), Japan
  year: 2016
  ident: cit0004
– start-page: 492
  volume-title: 2018 IEEE International Symposium on High Performance Computer Architecture (HPCA),Vienna, Austria
  year: 2018
  ident: cit0001
  doi: 10.1109/HPCA.2018.00049
– start-page: 1
  volume-title: 2018 ELEKTRO, Czech Republic
  year: 2018
  ident: cit0006
SSID ssj0068075
Score 2.340721
Snippet Recently, solution of discretisation operator technique with circular (DOTWC) approach, and runge-kutta implicit are presented for the Eigen efficient...
SourceID crossref
informaworld
SourceType Enrichment Source
Index Database
Publisher
StartPage 935
SubjectTerms computational Algorithms
Eigen Efficient Analysis
intelligent Physical System and Deep Learning Reinforcement
ira
Title Network on chip for enterprise information management and integration in intelligent physical systems
URI https://www.tandfonline.com/doi/abs/10.1080/17517575.2020.1720828
Volume 15
WOSCitedRecordID wos000513466500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAWR
  databaseName: Taylor & Francis Online Journals
  customDbUrl:
  eissn: 1751-7583
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0068075
  issn: 1751-7575
  databaseCode: TFW
  dateStart: 20070201
  isFulltext: true
  titleUrlDefault: https://www.tandfonline.com
  providerName: Taylor & Francis
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELYQYoCBN6K85IHVQOM4jkeEqJgqhkp0i_yKiARp1QR-P3exU7UDMICUJYkvOp3vfGfry3eEXGPJqiUEYJ5njkHGt8xk3jCrlOXKaZ6I0GxCjsf5dKqeI5qwibBK3EOXgSiiW6sxuLVpekTcLWQ8uKSA3V0Cj2SCNGywCkPqx9CcjF76tTiLVLsowVCk_4fnu6-sZac17tKVrDPa-wd998luLDnpffCRA7Lh60Oys0JEeET8OKDB6aym9rWaU9CI-oBHrBpPo4o4ifR9CZihoBHt-SbwVVV3t4His6Xz6AM00EU3x2Qyepw8PLHYgIFZqPpaJu4yI5VVZqh1CcWC07mQqeaQ1WwmpBSlTJ10UhqTpirR6dBIjQWlMEluPD8hm_Ws9qeEaqSyczb1PIdRFsFxXDoYx40RNssHJO3tXthITo49Mt6KYeQw7Y1YoBGLaMQBuVmKzQM7x28CanVSi7Y7FilDD5OC_yh79gfZc7KdIBimw5pckM128eEvyZb9bKtmcdX57BdOH-eE
linkProvider Taylor & Francis
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwED5BQQIG3ojy9MAaoHEcxyNCVEWUTJHoFtmOIypBWrWB348vTqp0AAaQsiT2Rafz2Xe2Pn8HcIUpq-R2AkZRmHk24mtPhUZ5WghNRSapz1yxCR7H0Wgk2ndhEFaJe-jcEUVUazVObjyMbiBxNzbk2Yczu73z7SfuIw_bKqwxG2uRPz_pvzSrcViT7aKIhzLNLZ7vfrMUn5bYS1txp7_zHxrvwnaddZI75yZ7sGKKfdhqcREegIkdIJxMCqJfx1NiVSLGQRLHc0NqHXEcyfsCM0OsSqShnMCmcVG9OpbPkkxrNyCOMXp-CEn_IbkfeHUNBk_bxK_02G2ouNBC9aTMbb6QyYjxQFIb2HTIOGc5DzKeca5UEAhfBj3FJeaUTPmRMvQIOsWkMMdAJLLZZTowNLK9NOLjKM9sP6oU02HUhaAxfKprfnIsk_GW9moa08aIKRoxrY3YheuF2NQRdPwmINqjmpbVyUjuypik9EfZkz_IXsLGIHkepsPH-OkUNn3ExlTQkzPolLMPcw7r-rMcz2cXlQN_AQca664
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NT4QwEJ3oaowe_Daunz14RV1KKT0alWg0ZA-buDfSlhJJlCUL-vttadnsHtSDJlyADplMp8wrebwBuDCQlVO9AKMozDxd8aUnQiU8yZjELOPYJ7bZBE2SaDxmQ8cmrB2t0uyhcysU0b6rzeKusrxjxF3piqcPSvTuzteXqG9k2JZhRUPn0CT5KH7pXsah09o1Jp6x6X7i-e4xC-VpQbx0ruzEW__g8DZsOsyJbmyS7MCSKndhY06JcA9UYungaFIi-VpUSHuElCUkFrVCzkUzi-h9xphB2iPUCU6YW0XZnlqNzwZVLgmQ1Yuu92EU349uHzzXgcGTGvY1HrkOBWWSiQHnuUYLGY8IDTjWZU2GhFKS0yCjGaVCBAHzeTAQlBtESYQfCYUPoFdOSnUIiBstu0wGCkd6lDTsOEwzPQ4LQWQY9SHo4p5Kp05ummS8pQMnYtoFMTVBTF0Q-3A5M6usPMdvBmx-UtOm_S6S2yYmKf7R9ugPtuewNryL0-fH5OkY1n1DjGl5JyfQa6Yf6hRW5WdT1NOzNn2_AElZ6mA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Network+on+chip+for+enterprise+information+management+and+integration+in+intelligent+physical+systems&rft.jtitle=Enterprise+information+systems&rft.au=Chen%2C+Guobin&rft.au=Li%2C+Shijin&rft.date=2021-08-09&rft.pub=Taylor+%26+Francis&rft.issn=1751-7575&rft.eissn=1751-7583&rft.volume=15&rft.issue=7&rft.spage=935&rft.epage=950&rft_id=info:doi/10.1080%2F17517575.2020.1720828&rft.externalDocID=1720828
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1751-7575&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1751-7575&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1751-7575&client=summon