Cited 4 time in
An Intelligent CMOS Image Sensor with a Deep Learning Algorithm for Smart Internet of Things
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jin, Minhyun | - |
| dc.contributor.author | Park, Keunyeol | - |
| dc.contributor.author | Song, Minkyu | - |
| dc.date.accessioned | 2023-04-28T05:42:42Z | - |
| dc.date.available | 2023-04-28T05:42:42Z | - |
| dc.date.issued | 2019-06 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/8653 | - |
| dc.description.abstract | Recently, many kinds of tremendous requirements are needed for smart Internet of Things (IoT). Among them, an intelligent and self-working CMOS image sensor (CIS) is a key component to satisfy the specifications of smart IoT. In this paper, therefore, an intelligent CIS with a deep learning algorithm is discussed. With a deep learning and a variable pixel recognition algorithm, an intelligent CIS has been implemented. Even though a low resolution image is obtained, a high resolution image can be taken by the proposed deep learning algorithm. As well as the intelligent CIS chip has been fabricated with a 90nm Samsung CIS technology, the power consumption is extremely low by about 1.0mW with a VGA graphic mode. | - |
| dc.format.extent | 2 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | IEEE | - |
| dc.title | An Intelligent CMOS Image Sensor with a Deep Learning Algorithm for Smart Internet of Things | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/itc-cscc.2019.8793332 | - |
| dc.identifier.scopusid | 2-s2.0-85071506241 | - |
| dc.identifier.wosid | 000494762800157 | - |
| dc.identifier.bibliographicCitation | 2019 34TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2019), pp 551 - 552 | - |
| dc.citation.title | 2019 34TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2019) | - |
| dc.citation.startPage | 551 | - |
| dc.citation.endPage | 552 | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Telecommunications | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Telecommunications | - |
| dc.subject.keywordAuthor | intelligent and self-working CMOS image sensor | - |
| dc.subject.keywordAuthor | smart Internet of Things (IoT) | - |
| dc.subject.keywordAuthor | deep learning algorithm | - |
| dc.subject.keywordAuthor | a variable pixel recognition algorithm | - |
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