{
    "ok": true,
    "doi": "10.46243/jst.2023.v8.i01.pp1-7",
    "events": [
        {
            "seq": 1,
            "kind": "register",
            "at": "2026-09-29 22:00:28",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "registered at Crossref; record read from api.crossref.org",
            "changes": [
                {
                    "path": "abstract.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "abstract.value",
                    "from": null,
                    "to": "The significance of encoding strategies in communication systems cannot be overstated, with methods such as Manchester and FM0 encoding playing crucial roles in various applications. Each strategy exhibits distinct operations tailored to specific requirements. This paper introduces the Similarity-Oriented Logic Simplification technique (SOLS), which integrates design and synchronizes tasks, coupled with the use of Differential Manchester Encoding (DSRC) to maintain DC balance and signal reliability. The combination of these techniques aims to reduce the number of transistors and preserve DC balance. The current work focuses on achieving an integrated design of FM0 and Manchester encoding to address shortcomings in traditional methods. This approach results in a reduction in the number of hardware components, consequently minimizing the overall area occupied by additional functionality in Dedicated Short-Range Communication (DSRC) systems."
                },
                {
                    "path": "agents.0.name.family",
                    "from": null,
                    "to": "G. Vishwanath"
                },
                {
                    "path": "agents.0.name.given",
                    "from": null,
                    "to": "G. Vishwanath"
                },
                {
                    "path": "agents.0.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.0.sequence",
                    "from": null,
                    "to": "first"
                },
                {
                    "path": "agents.1.name.org",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "agents.1.role",
                    "from": null,
                    "to": "publisher"
                },
                {
                    "path": "characters.0",
                    "from": null,
                    "to": "Language"
                },
                {
                    "path": "container.identifiers.0.medium",
                    "from": null,
                    "to": "electronic"
                },
                {
                    "path": "container.identifiers.0.type",
                    "from": null,
                    "to": "ISSN"
                },
                {
                    "path": "container.identifiers.0.value",
                    "from": null,
                    "to": "2456-5660"
                },
                {
                    "path": "container.issue",
                    "from": null,
                    "to": "1"
                },
                {
                    "path": "container.pages.first",
                    "from": null,
                    "to": "1"
                },
                {
                    "path": "container.pages.last",
                    "from": null,
                    "to": "7"
                },
                {
                    "path": "container.titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "container.titles.0.value",
                    "from": null,
                    "to": "Journal of Science & Technology"
                },
                {
                    "path": "container.type",
                    "from": null,
                    "to": "Journal"
                },
                {
                    "path": "container.volume",
                    "from": null,
                    "to": "8"
                },
                {
                    "path": "dates.date_type",
                    "from": null,
                    "to": "PublicationDate"
                },
                {
                    "path": "dates.online",
                    "from": null,
                    "to": "2023-03-02"
                },
                {
                    "path": "dates.published",
                    "from": null,
                    "to": "2023-03-02"
                },
                {
                    "path": "doi",
                    "from": null,
                    "to": "10.46243/jst.2023.v8.i01.pp1-7"
                },
                {
                    "path": "format",
                    "from": null,
                    "to": "smartscholars-doi-metadata/1.0"
                },
                {
                    "path": "identifiers.0.type",
                    "from": null,
                    "to": "DOI"
                },
                {
                    "path": "identifiers.0.value",
                    "from": null,
                    "to": "10.46243/jst.2023.v8.i01.pp1-7"
                },
                {
                    "path": "language",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "license.applies_to",
                    "from": null,
                    "to": "vor"
                },
                {
                    "path": "license.start",
                    "from": null,
                    "to": "2023-03-02"
                },
                {
                    "path": "license.url",
                    "from": null,
                    "to": "https://creativecommons.org/licenses/by/4.0"
                },
                {
                    "path": "links.0.primary",
                    "from": null,
                    "to": true
                },
                {
                    "path": "links.0.return_type",
                    "from": null,
                    "to": "text/html"
                },
                {
                    "path": "links.0.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/view/685"
                },
                {
                    "path": "links.1.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.1.return_type",
                    "from": null,
                    "to": "application/pdf"
                },
                {
                    "path": "links.1.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/685/613"
                },
                {
                    "path": "links.2.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.2.return_type",
                    "from": null,
                    "to": "application/xml"
                },
                {
                    "path": "links.2.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/685/1901"
                },
                {
                    "path": "modes.0",
                    "from": null,
                    "to": "Visual"
                },
                {
                    "path": "record.issue_number",
                    "from": null,
                    "to": 1
                },
                {
                    "path": "record.registered",
                    "from": null,
                    "to": "2024-02-16"
                },
                {
                    "path": "record.registrant",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "record.source",
                    "from": null,
                    "to": "crossref-api"
                },
                {
                    "path": "record.source_agency",
                    "from": null,
                    "to": "Crossref (member 25296)"
                },
                {
                    "path": "record.updated",
                    "from": null,
                    "to": "2026-09-28"
                },
                {
                    "path": "referent",
                    "from": null,
                    "to": "Creation"
                },
                {
                    "path": "structural_type",
                    "from": null,
                    "to": "Digital"
                },
                {
                    "path": "titles.0.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "titles.0.value",
                    "from": null,
                    "to": "Optimizing DSRC Systems through Combined Similarity-Oriented Logic Simplification and Manchester Encoding"
                },
                {
                    "path": "type",
                    "from": null,
                    "to": "JournalArticle"
                }
            ],
            "record_after": {
                "format": "smartscholars-doi-metadata/1.0",
                "doi": "10.46243/jst.2023.v8.i01.pp1-7",
                "referent": "Creation",
                "type": "JournalArticle",
                "structural_type": "Digital",
                "modes": [
                    "Visual"
                ],
                "characters": [
                    "Language"
                ],
                "titles": [
                    {
                        "value": "Optimizing DSRC Systems through Combined Similarity-Oriented Logic Simplification and Manchester Encoding",
                        "type": "PrincipalTitle",
                        "lang": "en"
                    }
                ],
                "identifiers": [
                    {
                        "type": "DOI",
                        "value": "10.46243/jst.2023.v8.i01.pp1-7"
                    }
                ],
                "agents": [
                    {
                        "role": "author",
                        "name": {
                            "given": "G. Vishwanath",
                            "family": "G. Vishwanath"
                        },
                        "sequence": "first"
                    },
                    {
                        "role": "publisher",
                        "name": {
                            "org": "Longman Publishers"
                        }
                    }
                ],
                "dates": {
                    "published": "2023-03-02",
                    "date_type": "PublicationDate",
                    "online": "2023-03-02"
                },
                "language": "en",
                "container": {
                    "type": "Journal",
                    "titles": [
                        {
                            "value": "Journal of Science & Technology",
                            "type": "PrincipalTitle"
                        }
                    ],
                    "identifiers": [
                        {
                            "type": "ISSN",
                            "value": "2456-5660",
                            "medium": "electronic"
                        }
                    ],
                    "volume": "8",
                    "issue": "1",
                    "pages": {
                        "first": "1",
                        "last": "7"
                    }
                },
                "links": [
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/view/685",
                        "return_type": "text/html",
                        "primary": true
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/685/613",
                        "purpose": "text-mining",
                        "return_type": "application/pdf"
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/685/1901",
                        "purpose": "text-mining",
                        "return_type": "application/xml"
                    }
                ],
                "abstract": {
                    "value": "The significance of encoding strategies in communication systems cannot be overstated, with methods such as Manchester and FM0 encoding playing crucial roles in various applications. Each strategy exhibits distinct operations tailored to specific requirements. This paper introduces the Similarity-Oriented Logic Simplification technique (SOLS), which integrates design and synchronizes tasks, coupled with the use of Differential Manchester Encoding (DSRC) to maintain DC balance and signal reliability. The combination of these techniques aims to reduce the number of transistors and preserve DC balance. The current work focuses on achieving an integrated design of FM0 and Manchester encoding to address shortcomings in traditional methods. This approach results in a reduction in the number of hardware components, consequently minimizing the overall area occupied by additional functionality in Dedicated Short-Range Communication (DSRC) systems.",
                    "lang": "en"
                },
                "license": {
                    "url": "https://creativecommons.org/licenses/by/4.0",
                    "start": "2023-03-02",
                    "applies_to": "vor"
                },
                "record": {
                    "registrant": "Longman Publishers",
                    "registered": "2024-02-16",
                    "updated": "2026-09-28",
                    "issue_number": 1,
                    "source": "crossref-api",
                    "source_agency": "Crossref (member 25296)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/685",
            "sha256_before": null,
            "sha256_after": "5156845920d7f532059cf0d10c90e1e2f4b0d8c7055cf9bf0128cfad1bb609d4"
        },
        {
            "seq": 2,
            "kind": "update",
            "at": "2026-09-29 23:59:46",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "record re-read from api.crossref.org",
            "changes": [
                {
                    "path": "container.titles.0.value",
                    "from": "Journal of Science & Technology",
                    "to": "Journal of Science & Technology"
                }
            ],
            "record_after": {
                "format": "smartscholars-doi-metadata/1.0",
                "doi": "10.46243/jst.2023.v8.i01.pp1-7",
                "referent": "Creation",
                "type": "JournalArticle",
                "structural_type": "Digital",
                "modes": [
                    "Visual"
                ],
                "characters": [
                    "Language"
                ],
                "titles": [
                    {
                        "value": "Optimizing DSRC Systems through Combined Similarity-Oriented Logic Simplification and Manchester Encoding",
                        "type": "PrincipalTitle",
                        "lang": "en"
                    }
                ],
                "identifiers": [
                    {
                        "type": "DOI",
                        "value": "10.46243/jst.2023.v8.i01.pp1-7"
                    }
                ],
                "agents": [
                    {
                        "role": "author",
                        "name": {
                            "given": "G. Vishwanath",
                            "family": "G. Vishwanath"
                        },
                        "sequence": "first"
                    },
                    {
                        "role": "publisher",
                        "name": {
                            "org": "Longman Publishers"
                        }
                    }
                ],
                "dates": {
                    "published": "2023-03-02",
                    "date_type": "PublicationDate",
                    "online": "2023-03-02"
                },
                "language": "en",
                "container": {
                    "type": "Journal",
                    "titles": [
                        {
                            "value": "Journal of Science & Technology",
                            "type": "PrincipalTitle"
                        }
                    ],
                    "identifiers": [
                        {
                            "type": "ISSN",
                            "value": "2456-5660",
                            "medium": "electronic"
                        }
                    ],
                    "volume": "8",
                    "issue": "1",
                    "pages": {
                        "first": "1",
                        "last": "7"
                    }
                },
                "links": [
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/view/685",
                        "return_type": "text/html",
                        "primary": true
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/685/613",
                        "purpose": "text-mining",
                        "return_type": "application/pdf"
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/685/1901",
                        "purpose": "text-mining",
                        "return_type": "application/xml"
                    }
                ],
                "abstract": {
                    "value": "The significance of encoding strategies in communication systems cannot be overstated, with methods such as Manchester and FM0 encoding playing crucial roles in various applications. Each strategy exhibits distinct operations tailored to specific requirements. This paper introduces the Similarity-Oriented Logic Simplification technique (SOLS), which integrates design and synchronizes tasks, coupled with the use of Differential Manchester Encoding (DSRC) to maintain DC balance and signal reliability. The combination of these techniques aims to reduce the number of transistors and preserve DC balance. The current work focuses on achieving an integrated design of FM0 and Manchester encoding to address shortcomings in traditional methods. This approach results in a reduction in the number of hardware components, consequently minimizing the overall area occupied by additional functionality in Dedicated Short-Range Communication (DSRC) systems.",
                    "lang": "en"
                },
                "license": {
                    "url": "https://creativecommons.org/licenses/by/4.0",
                    "start": "2023-03-02",
                    "applies_to": "vor"
                },
                "record": {
                    "registrant": "Longman Publishers",
                    "registered": "2024-02-16",
                    "updated": "2026-09-28",
                    "issue_number": 1,
                    "source": "crossref-api",
                    "source_agency": "Crossref (member 25296)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/685",
            "sha256_before": "5156845920d7f532059cf0d10c90e1e2f4b0d8c7055cf9bf0128cfad1bb609d4",
            "sha256_after": "0c53aa3036a5ad4414c0d4206fdfbe64663e9a7d49e023b201090b9dcecedfa7"
        }
    ]
}