View in EDS HTML Full Text PDF Full Text

Application of IoT optical sensing image processing equipment based on load balancing algorithm in sports physical fitness detection.

Saved in:
Bibliographic Details
Title: Application of IoT optical sensing image processing equipment based on load balancing algorithm in sports physical fitness detection.
Authors: Wang, Yanjun1 (AUTHOR), He, Lili2 (AUTHOR) menglil@zjxu.edu.cn, Wang, Limin3 (AUTHOR)
Source: Optical & Quantum Electronics. Apr2024, Vol. 56 Issue 4, p1-17. 17p.
Subjects: Image processing equipment, Image processing, Internet of things, Load balancing (Computer networks), Physical fitness, Algorithms, Physical fitness testing
Abstract: The aim of this study is to propose an image processing device based on load balancing algorithm, which can realize efficient and accurate data processing in physical fitness detection. The characteristics of optical sensor image processing equipment and the demand of physical fitness detection are studied and analyzed. Then, according to the principle and strategy of load balancing, a load balancing algorithm suitable for iot optical sensor image processing equipment is designed. The algorithm can automatically adjust the task allocation according to the load of the device and ensure the load balance of each device. Finally, the experiment is carried out in the actual scene, and the comparison with the traditional method is analyzed. The experimental results show that the iot optical sensor image processing equipment based on load balancing algorithm has excellent performance in the physical fitness detection. It can effectively reduce the load pressure of the equipment and improve the speed and accuracy of data processing. The application potential of the equipment is huge, and it can play an important role in sports training, health monitoring and other fields. [ABSTRACT FROM AUTHOR]
Copyright of Optical & Quantum Electronics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 175877703
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Application of IoT optical sensing image processing equipment based on load balancing algorithm in sports physical fitness detection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Yanjun%22">Wang, Yanjun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Lili%22">He, Lili</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> menglil@zjxu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Limin%22">Wang, Limin</searchLink><relatesTo>3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Optical+%26+Quantum+Electronics%22">Optical & Quantum Electronics</searchLink>. Apr2024, Vol. 56 Issue 4, p1-17. 17p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Image+processing+equipment%22">Image processing equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Load+balancing+%28Computer+networks%29%22">Load balancing (Computer networks)</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+fitness%22">Physical fitness</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+fitness+testing%22">Physical fitness testing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The aim of this study is to propose an image processing device based on load balancing algorithm, which can realize efficient and accurate data processing in physical fitness detection. The characteristics of optical sensor image processing equipment and the demand of physical fitness detection are studied and analyzed. Then, according to the principle and strategy of load balancing, a load balancing algorithm suitable for iot optical sensor image processing equipment is designed. The algorithm can automatically adjust the task allocation according to the load of the device and ensure the load balance of each device. Finally, the experiment is carried out in the actual scene, and the comparison with the traditional method is analyzed. The experimental results show that the iot optical sensor image processing equipment based on load balancing algorithm has excellent performance in the physical fitness detection. It can effectively reduce the load pressure of the equipment and improve the speed and accuracy of data processing. The application potential of the equipment is huge, and it can play an important role in sports training, health monitoring and other fields. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Optical & Quantum Electronics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=175877703
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11082-024-06292-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1
    Subjects:
      – SubjectFull: Image processing equipment
        Type: general
      – SubjectFull: Image processing
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Load balancing (Computer networks)
        Type: general
      – SubjectFull: Physical fitness
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Physical fitness testing
        Type: general
    Titles:
      – TitleFull: Application of IoT optical sensing image processing equipment based on load balancing algorithm in sports physical fitness detection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wang, Yanjun
      – PersonEntity:
          Name:
            NameFull: He, Lili
      – PersonEntity:
          Name:
            NameFull: Wang, Limin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 03068919
          Numbering:
            – Type: volume
              Value: 56
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Optical & Quantum Electronics
              Type: main
ResultId 1