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Kernel Metadata Declaration — on demand

ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.

Reads the DOI's public Crossref record; nothing is stored. Until Smart Scholars is accredited, every Declaration is marked as a draft in the XML itself.

✓ Meets every rule of the format

The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.

What the DOI identifies

Reviewon Traffic Congestion DetectionusingImage Processing

10.46243/jst.2021.v6.i2.pp109-113 · JournalArticle — an article in a journal · Digital · Visual · Language · en

Published 2021-03-08

Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 02 · pp. 109–113

Principal agents

  • Sahana Kulkarni (author → Author)
  • Sumit Ugale (author → Author)
  • Himanshu Jawale (author → Author)
  • Dr. Amita Shinde (author → Author)
  • Longman Publishers (publisher → Publisher)

Also in the record, outside the Kernel: the abstract, the licence, 4 links, 10 references. Source: Crossref (member 25296), registered 2026-09-08, last deposited 2026-09-20.

⬇ Record (JSON) ⬇ Declaration (XML)

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name and the Handbook's (in grey), read off the record.

DOI Name
DOI name
10.46243/jst.2021.v6.i2.pp109-113
Referent Type
referentType
Creation
Referent Sub-Type
referentSubType
JournalArticle — an article in a journal
Referent Name(s)
referentName(s)
Reviewon Traffic Congestion DetectionusingImage Processing (PrincipalTitle, en)
Basic Metadata
basicMetadata
author: Sahana Kulkarni
author: Sumit Ugale
author: Himanshu Jawale
author: Dr. Amita Shinde
publisher: Longman Publishers
published: 2021-03-08
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 02 · pp. 109–113
language: en
form: Digital · Visual · Language
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOI
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copy
Created Date
issueDate
2026-09-08
relatedIdentifiersnone needed — the descriptive metadata is in this record

The record

{
    "format": "smartscholars-doi-metadata/1.0",
    "doi": "10.46243/jst.2021.v6.i2.pp109-113",
    "referent": "Creation",
    "type": "JournalArticle",
    "structural_type": "Digital",
    "modes": [
        "Visual"
    ],
    "characters": [
        "Language"
    ],
    "titles": [
        {
            "value": "Reviewon Traffic Congestion DetectionusingImage Processing",
            "type": "PrincipalTitle",
            "lang": "en"
        }
    ],
    "identifiers": [
        {
            "type": "DOI",
            "value": "10.46243/jst.2021.v6.i2.pp109-113"
        }
    ],
    "agents": [
        {
            "role": "author",
            "name": {
                "given": "Sahana",
                "family": "Kulkarni"
            },
            "sequence": "first"
        },
        {
            "role": "author",
            "name": {
                "given": "Sumit",
                "family": "Ugale"
            },
            "sequence": "additional"
        },
        {
            "role": "author",
            "name": {
                "given": "Himanshu",
                "family": "Jawale"
            },
            "sequence": "additional"
        },
        {
            "role": "author",
            "name": {
                "given": "Dr. Amita",
                "family": "Shinde"
            },
            "sequence": "additional"
        },
        {
            "role": "publisher",
            "name": {
                "org": "Longman Publishers"
            }
        }
    ],
    "dates": {
        "published": "2021-03-08",
        "date_type": "PublicationDate",
        "online": "2021-03-08"
    },
    "language": "en",
    "container": {
        "type": "Journal",
        "titles": [
            {
                "value": "Journal of Science & Technology",
                "type": "PrincipalTitle"
            }
        ],
        "identifiers": [
            {
                "type": "ISSN",
                "value": "2456-5660",
                "medium": "electronic"
            }
        ],
        "volume": "06",
        "issue": "02",
        "pages": {
            "first": "109",
            "last": "113"
        }
    },
    "links": [
        {
            "url": "https://www.jst.org.in/index.php/pub/article/view/322",
            "return_type": "text/html",
            "primary": true
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/download/322/287",
            "purpose": "text-mining",
            "return_type": "application/pdf"
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/download/322/2486",
            "purpose": "text-mining",
            "return_type": "application/xml"
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/view/322/287",
            "purpose": "similarity-checking"
        }
    ],
    "abstract": {
        "value": "This paper presents a review on various image processing techniques used to detect traffic congestion. The conventional traffic light system has a fixed time cycle regardless of the traffic congestion. To reduce traffic congestion, system that controls the traffic lights based on number of vehicles can be designed. Heavy flow of vehicles at any particular side can be given higher priority for efficient vehicle management. Detection of real-time traffic congestion is necessary. In this paper, various image processing algorithms such as background subtraction, edge detection, etc. are discussed.",
        "lang": "en"
    },
    "license": {
        "url": "https://creativecommons.org/licenses/by/4.0/",
        "start": "2021-03-08",
        "applies_to": "vor"
    },
    "references": [
        {
            "key": "ref1",
            "doi": "10.1109/iccubea.2018.8697838",
            "unstructured": "Aditya Rao, AkshayPhadnis, Atul Patil, Tejal Rajput, Dr. Prof. Pravin Futane, “Dynamic Traffic System Based On Real Time Detection Of Traffic Congestion,” 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)"
        },
        {
            "key": "ref2",
            "doi": "10.1109/icist49303.2020.9202144",
            "unstructured": "Sin-Chun Ng, Chok-Pang Kwok, Yui-Chung Fung, Chun-Yung So, Yuen-Ho Lam, “A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong”, 10th International Conference on Information Science and Technology Bath, United Kingdom, September 9-15, 2020, pp. 258-265"
        },
        {
            "key": "ref3",
            "doi": "10.1109/icoei48184.2020.9143058",
            "unstructured": "ArghyaGuchhait, DebdattaKandar, “Multiple Vehicle Detection using C-OFDM Based RADAR for Advanced Collision Warning,” Fourth International Conference on Trends in Electronics and Informatics (ICOEI 2020), pp. 164-168"
        },
        {
            "key": "ref4",
            "doi": "10.1109/icct.2017.8359891",
            "unstructured": "Chan-Tong Lam, Hanyang Gao, Benjamin Ng, “A Real-Time Traffic Congestion Detection System Using On-Line Images,” 2017 17th IEEE International Conference on Communication Technology, pp. 1548-1552"
        },
        {
            "key": "ref5",
            "doi": "10.1109/iccwamtip.2017.8301495",
            "unstructured": "Mudassir Khalil, Jianping Li, Abida Sharif, Jalaluddin Khan, “Traffic Congestion Detection By Use Of Satellites View”, pp. 278-280"
        },
        {
            "key": "ref6",
            "doi": "10.1109/iconstem.2019.8918779",
            "unstructured": "V.Ellappan, B.Sindhusaranya, TadesseHailu, “Multi Inteligent Traffic Light Optimization techniques by appling Modified Component Analysis Algorithm,” 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), pp. 316-318"
        },
        {
            "key": "ref7",
            "doi": "10.1109/iccsp.2018.8524501",
            "unstructured": "Sarath S and Deepthi L.R., “Priority Based Real Time Smart Traffic Control System Using Dynamic Background,” International Conference on Communication and Signal Processing, April 3-5, 2018, India, pp. 0620-0622"
        },
        {
            "key": "ref8",
            "doi": "10.1109/ic4me2.2018.8465599",
            "unstructured": "Partha Narayan Chowdhury, Tonmoy Chandra Ray, Jia Uddin, “A Vehicle Detection Technique for Traffic Management using Image Processing”"
        },
        {
            "key": "ref9",
            "doi": "10.1109/icraect.2017.48",
            "unstructured": "Mallikarjun Anandhalli and Vishwanath P. Baligar, “Vehicle Detection and Tracking Based On Color Feature,” 2017 International Conference on Recent Advances in Electronics and Communication Technology, pp. 240-248"
        },
        {
            "key": "ref10",
            "doi": "10.1109/icicct.2017.7975196",
            "unstructured": "Ch.Jaya Lakshmi and S.Kalpana, “Intelligent Traffic Signalling System,” International Conference on Inventive Communication and Computational Technologies (ICICCT 2017), pp. 247-251"
        }
    ],
    "record": {
        "registrant": "Longman Publishers",
        "registered": "2026-09-08",
        "updated": "2026-09-20",
        "issue_number": 1,
        "source": "crossref-api",
        "source_agency": "Crossref (member 25296)"
    }
}

The Kernel Metadata Declaration

DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation

<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
  <referentDoiName>10.46243/jst.2021.v6.i2.pp109-113</referentDoiName>
  <primaryReferentType>Creation</primaryReferentType>
  <registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
  <issueDate>2026-10-04</issueDate>
  <issueNumber>1</issueNumber>
  <referentCreation>
    <name primaryLanguage="en">
      <value>Reviewon Traffic Congestion DetectionusingImage Processing</value>
      <type>PrincipalTitle</type>
    </name>
    <identifier>
      <nonUriValue>10.46243/jst.2021.v6.i2.pp109-113</nonUriValue>
      <uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2021.v6.i2.pp109-113</uri>
      <type>DOI</type>
    </identifier>
    <identifier>
      <uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/322</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri>https://www.jst.org.in/index.php/pub/article/download/322/287</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/322/2486</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri>https://www.jst.org.in/index.php/pub/article/view/322/287</uri>
      <type>URI</type>
    </identifier>
    <structuralType>Digital</structuralType>
    <mode>Visual</mode>
    <character>Language</character>
    <type>JournalArticle</type>
    <principalAgent>
      <name>
        <value>Sahana Kulkarni</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>Sumit Ugale</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>Himanshu Jawale</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>Dr. Amita Shinde</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>Longman Publishers</value>
        <type>PrincipalName</type>
      </name>
      <role>Publisher</role>
    </principalAgent>
    <linkedCreation>
      <name>
        <value>Journal of Science &amp; Technology</value>
        <type>PrincipalTitle</type>
      </name>
      <identifier>
        <nonUriValue>2456-5660</nonUriValue>
        <type>ISSN</type>
      </identifier>
      <referentCreationRole>Part</referentCreationRole>
      <referentCreationSequenceIdentifier>
        <value>06</value>
        <type>VolumeNumber</type>
      </referentCreationSequenceIdentifier>
      <referentCreationSequenceIdentifier>
        <value>02</value>
        <type>IssueNumber</type>
      </referentCreationSequenceIdentifier>
      <referentCreationSequenceIdentifier>
        <value>109-113</value>
        <type>PageNumber</type>
      </referentCreationSequenceIdentifier>
    </linkedCreation>
    <language>en</language>
    <languageOfReferentContent>
      <language>en</language>
      <languageOfReferentContentType>Original</languageOfReferentContentType>
    </languageOfReferentContent>
    <creationDate>
      <date>2021-03-08</date>
      <creationDateType>PublicationDate</creationDateType>
    </creationDate>
  </referentCreation>
</kernelMetadata>
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