Chipless RFID Systems Using Advanced Artificial Intelligence:
This book shows you how to develop a hybrid mm-wave chipless Radio Frequency Identification (RFID) system, which includes chip-less tag, reader hardware, and detection algorithm that use image processing and machine learning (ML) techniques. It provides the background and information you need to app...
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Norwood :
Artech House,
2023.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This book shows you how to develop a hybrid mm-wave chipless Radio Frequency Identification (RFID) system, which includes chip-less tag, reader hardware, and detection algorithm that use image processing and machine learning (ML) techniques. It provides the background and information you need to apply the concepts of AI into detection and chip-less tag signature printable on normal plastic substrates, instead of the conventional peak/nulls in the frequency tags. You'll learn how to incorporate new AI detection techniques along with cloud computing to lower costs. You'll also be shown a cost-effective means of image construction, which can lower detection errors. The book focuses on side-looking-aperture-radar (SLAR) with a combination of deep learning to provide a much safer means of chipless detection than the current iSAR technique, and includes extensive coverage of reader array antennas, beamforming, and MIMO. Each chapter includes practical examples of design. With its emphasis on mm-waveband and the practical side of design and engineering of the chipless tags, reader and detection algorithms, this is an excellent resource for industry engineers, design engineers and university researchers. |
Beschreibung: | Description based upon print version of record. |
Beschreibung: | 1 online resource (237 p.) |
ISBN: | 1630819492 9781630819491 |
Internformat
MARC
LEADER | 00000cam a2200000Mu 4500 | ||
---|---|---|---|
001 | ZDB-4-EBA-on1378393491 | ||
003 | OCoLC | ||
005 | 20241004212047.0 | ||
006 | m o d | ||
007 | cr cnu|||||||| | ||
008 | 230513s2023 xx o ||| 0 eng d | ||
040 | |a EBLCP |b eng |c EBLCP |d UKAHL |d N$T |d OCLCF |d IEEEE |d OCLCO |d DXU | ||
019 | |a 1443991884 | ||
020 | |a 1630819492 | ||
020 | |a 9781630819491 |q (electronic bk.) | ||
035 | |a (OCoLC)1378393491 |z (OCoLC)1443991884 | ||
037 | |a 10040266 |b IEEE | ||
050 | 4 | |a TK6570.I34 | |
082 | 7 | |a 621.3841/92 |2 23 | |
049 | |a MAIN | ||
100 | 1 | |a Arjomandi, Larry M. | |
245 | 1 | 0 | |a Chipless RFID Systems Using Advanced Artificial Intelligence |h [electronic resource]. |
260 | |a Norwood : |b Artech House, |c 2023. | ||
300 | |a 1 online resource (237 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
500 | |a Description based upon print version of record. | ||
520 | |a This book shows you how to develop a hybrid mm-wave chipless Radio Frequency Identification (RFID) system, which includes chip-less tag, reader hardware, and detection algorithm that use image processing and machine learning (ML) techniques. It provides the background and information you need to apply the concepts of AI into detection and chip-less tag signature printable on normal plastic substrates, instead of the conventional peak/nulls in the frequency tags. You'll learn how to incorporate new AI detection techniques along with cloud computing to lower costs. You'll also be shown a cost-effective means of image construction, which can lower detection errors. The book focuses on side-looking-aperture-radar (SLAR) with a combination of deep learning to provide a much safer means of chipless detection than the current iSAR technique, and includes extensive coverage of reader array antennas, beamforming, and MIMO. Each chapter includes practical examples of design. With its emphasis on mm-waveband and the practical side of design and engineering of the chipless tags, reader and detection algorithms, this is an excellent resource for industry engineers, design engineers and university researchers. | ||
650 | 0 | |a Radio frequency identification systems. |0 http://id.loc.gov/authorities/subjects/sh93005118 | |
650 | 0 | |a Artificial intelligence. |0 http://id.loc.gov/authorities/subjects/sh85008180 | |
650 | 6 | |a Systèmes d'identification par radiofréquence. | |
650 | 6 | |a Intelligence artificielle. | |
650 | 7 | |a artificial intelligence. |2 aat | |
650 | 7 | |a Artificial intelligence |2 fast | |
650 | 7 | |a Radio frequency identification systems |2 fast | |
700 | 1 | |a Karmakar, Nemai Chandra. | |
776 | 0 | 8 | |i Print version: |a Arjomandi, Larry M. |t Chipless RFID Systems Using Advanced Artificial Intelligence |d Norwood : Artech House,c2023 |z 9781630819484 |
856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3601453 |3 Volltext |
938 | |a Askews and Holts Library Services |b ASKH |n AH41410391 | ||
938 | |a ProQuest Ebook Central |b EBLB |n EBL30516621 | ||
938 | |a EBSCOhost |b EBSC |n 3601453 | ||
994 | |a 92 |b GEBAY | ||
912 | |a ZDB-4-EBA | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-on1378393491 |
---|---|
_version_ | 1816882569812115456 |
adam_text | |
any_adam_object | |
author | Arjomandi, Larry M. |
author2 | Karmakar, Nemai Chandra |
author2_role | |
author2_variant | n c k nc nck |
author_facet | Arjomandi, Larry M. Karmakar, Nemai Chandra |
author_role | |
author_sort | Arjomandi, Larry M. |
author_variant | l m a lm lma |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | T - Technology |
callnumber-label | TK6570 |
callnumber-raw | TK6570.I34 |
callnumber-search | TK6570.I34 |
callnumber-sort | TK 46570 I34 |
callnumber-subject | TK - Electrical and Nuclear Engineering |
collection | ZDB-4-EBA |
ctrlnum | (OCoLC)1378393491 |
dewey-full | 621.3841/92 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.3841/92 |
dewey-search | 621.3841/92 |
dewey-sort | 3621.3841 292 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03148cam a2200481Mu 4500</leader><controlfield tag="001">ZDB-4-EBA-on1378393491</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">230513s2023 xx o ||| 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">EBLCP</subfield><subfield code="b">eng</subfield><subfield code="c">EBLCP</subfield><subfield code="d">UKAHL</subfield><subfield code="d">N$T</subfield><subfield code="d">OCLCF</subfield><subfield code="d">IEEEE</subfield><subfield code="d">OCLCO</subfield><subfield code="d">DXU</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">1443991884</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1630819492</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781630819491</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1378393491</subfield><subfield code="z">(OCoLC)1443991884</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">10040266</subfield><subfield code="b">IEEE</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TK6570.I34</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">621.3841/92</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Arjomandi, Larry M.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Chipless RFID Systems Using Advanced Artificial Intelligence</subfield><subfield code="h">[electronic resource].</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Norwood :</subfield><subfield code="b">Artech House,</subfield><subfield code="c">2023.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (237 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based upon print version of record.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book shows you how to develop a hybrid mm-wave chipless Radio Frequency Identification (RFID) system, which includes chip-less tag, reader hardware, and detection algorithm that use image processing and machine learning (ML) techniques. It provides the background and information you need to apply the concepts of AI into detection and chip-less tag signature printable on normal plastic substrates, instead of the conventional peak/nulls in the frequency tags. You'll learn how to incorporate new AI detection techniques along with cloud computing to lower costs. You'll also be shown a cost-effective means of image construction, which can lower detection errors. The book focuses on side-looking-aperture-radar (SLAR) with a combination of deep learning to provide a much safer means of chipless detection than the current iSAR technique, and includes extensive coverage of reader array antennas, beamforming, and MIMO. Each chapter includes practical examples of design. With its emphasis on mm-waveband and the practical side of design and engineering of the chipless tags, reader and detection algorithms, this is an excellent resource for industry engineers, design engineers and university researchers.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Radio frequency identification systems.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh93005118</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85008180</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Systèmes d'identification par radiofréquence.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Intelligence artificielle.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">artificial intelligence.</subfield><subfield code="2">aat</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Artificial intelligence</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radio frequency identification systems</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Karmakar, Nemai Chandra.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Arjomandi, Larry M.</subfield><subfield code="t">Chipless RFID Systems Using Advanced Artificial Intelligence</subfield><subfield code="d">Norwood : Artech House,c2023</subfield><subfield code="z">9781630819484</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3601453</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">AH41410391</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest Ebook Central</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL30516621</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">3601453</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
id | ZDB-4-EBA-on1378393491 |
illustrated | Not Illustrated |
indexdate | 2024-11-27T13:30:42Z |
institution | BVB |
isbn | 1630819492 9781630819491 |
language | English |
oclc_num | 1378393491 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (237 p.) |
psigel | ZDB-4-EBA |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | Artech House, |
record_format | marc |
spelling | Arjomandi, Larry M. Chipless RFID Systems Using Advanced Artificial Intelligence [electronic resource]. Norwood : Artech House, 2023. 1 online resource (237 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based upon print version of record. This book shows you how to develop a hybrid mm-wave chipless Radio Frequency Identification (RFID) system, which includes chip-less tag, reader hardware, and detection algorithm that use image processing and machine learning (ML) techniques. It provides the background and information you need to apply the concepts of AI into detection and chip-less tag signature printable on normal plastic substrates, instead of the conventional peak/nulls in the frequency tags. You'll learn how to incorporate new AI detection techniques along with cloud computing to lower costs. You'll also be shown a cost-effective means of image construction, which can lower detection errors. The book focuses on side-looking-aperture-radar (SLAR) with a combination of deep learning to provide a much safer means of chipless detection than the current iSAR technique, and includes extensive coverage of reader array antennas, beamforming, and MIMO. Each chapter includes practical examples of design. With its emphasis on mm-waveband and the practical side of design and engineering of the chipless tags, reader and detection algorithms, this is an excellent resource for industry engineers, design engineers and university researchers. Radio frequency identification systems. http://id.loc.gov/authorities/subjects/sh93005118 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Systèmes d'identification par radiofréquence. Intelligence artificielle. artificial intelligence. aat Artificial intelligence fast Radio frequency identification systems fast Karmakar, Nemai Chandra. Print version: Arjomandi, Larry M. Chipless RFID Systems Using Advanced Artificial Intelligence Norwood : Artech House,c2023 9781630819484 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3601453 Volltext |
spellingShingle | Arjomandi, Larry M. Chipless RFID Systems Using Advanced Artificial Intelligence Radio frequency identification systems. http://id.loc.gov/authorities/subjects/sh93005118 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Systèmes d'identification par radiofréquence. Intelligence artificielle. artificial intelligence. aat Artificial intelligence fast Radio frequency identification systems fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh93005118 http://id.loc.gov/authorities/subjects/sh85008180 |
title | Chipless RFID Systems Using Advanced Artificial Intelligence |
title_auth | Chipless RFID Systems Using Advanced Artificial Intelligence |
title_exact_search | Chipless RFID Systems Using Advanced Artificial Intelligence |
title_full | Chipless RFID Systems Using Advanced Artificial Intelligence [electronic resource]. |
title_fullStr | Chipless RFID Systems Using Advanced Artificial Intelligence [electronic resource]. |
title_full_unstemmed | Chipless RFID Systems Using Advanced Artificial Intelligence [electronic resource]. |
title_short | Chipless RFID Systems Using Advanced Artificial Intelligence |
title_sort | chipless rfid systems using advanced artificial intelligence |
topic | Radio frequency identification systems. http://id.loc.gov/authorities/subjects/sh93005118 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Systèmes d'identification par radiofréquence. Intelligence artificielle. artificial intelligence. aat Artificial intelligence fast Radio frequency identification systems fast |
topic_facet | Radio frequency identification systems. Artificial intelligence. Systèmes d'identification par radiofréquence. Intelligence artificielle. artificial intelligence. Artificial intelligence Radio frequency identification systems |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3601453 |
work_keys_str_mv | AT arjomandilarrym chiplessrfidsystemsusingadvancedartificialintelligence AT karmakarnemaichandra chiplessrfidsystemsusingadvancedartificialintelligence |