Intelligent metasurface sensors:
Intelligent electromagnetic (EM) sensing is a powerful contactless examination tool in science, engineering and military, enabling us to 'see' and 'understand' visually invisible targets. Using intelligence, the sensor can organize by itself the task-oriented sensing pipeline (da...
Gespeichert in:
| Hauptverfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2023
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| Schriftenreihe: | Elements of emerging theories and technologies in metamaterials
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| Schlagworte: | |
| Online-Zugang: | DE-12 DE-634 DE-92 URL des Erstveröffentlichers |
| Zusammenfassung: | Intelligent electromagnetic (EM) sensing is a powerful contactless examination tool in science, engineering and military, enabling us to 'see' and 'understand' visually invisible targets. Using intelligence, the sensor can organize by itself the task-oriented sensing pipeline (data acquisition plus processing) without human intervention. Intelligent metasurface sensors, synergizing ultrathin artificial materials (AMs) for flexible wave manipulation and artificial intelligences (AIs) for powerful data manipulation, emerge in response to the proper time and conditions, and have attracted growing interest over the past years. The authors expect that the results in this Element could be utilized to achieve the goal that conventional sensors cannot achieve, and that the developed strategies can be extended over the entire EM spectra and beyond, which will produce important impacts on the society of the robot-human alliance |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 28 Dec 2023) |
| Beschreibung: | 1 Online-Ressource (126 Seiten) |
| ISBN: | 9781009277242 |
| DOI: | 10.1017/9781009277242 |
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| 500 | |a Title from publisher's bibliographic system (viewed on 28 Dec 2023) | ||
| 520 | |a Intelligent electromagnetic (EM) sensing is a powerful contactless examination tool in science, engineering and military, enabling us to 'see' and 'understand' visually invisible targets. Using intelligence, the sensor can organize by itself the task-oriented sensing pipeline (data acquisition plus processing) without human intervention. Intelligent metasurface sensors, synergizing ultrathin artificial materials (AMs) for flexible wave manipulation and artificial intelligences (AIs) for powerful data manipulation, emerge in response to the proper time and conditions, and have attracted growing interest over the past years. The authors expect that the results in this Element could be utilized to achieve the goal that conventional sensors cannot achieve, and that the developed strategies can be extended over the entire EM spectra and beyond, which will produce important impacts on the society of the robot-human alliance | ||
| 650 | 4 | |a Metasurfaces | |
| 650 | 4 | |a Detectors / Materials | |
| 650 | 4 | |a Machine learning | |
| 700 | 1 | |a Zhao, Hanting |4 aut | |
| 700 | 1 | |a Cui, Tie Jun |d ca. 20./21. Jh. |0 (DE-588)1228649545 |4 aut | |
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Datensatz im Suchindex
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| author | Li, Lianlin Zhao, Hanting Cui, Tie Jun ca. 20./21. Jh |
| author_GND | (DE-588)1228649545 |
| author_facet | Li, Lianlin Zhao, Hanting Cui, Tie Jun ca. 20./21. Jh |
| author_role | aut aut aut |
| author_sort | Li, Lianlin |
| author_variant | l l ll h z hz t j c tj tjc |
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| dewey-full | 620.11 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620.11 |
| dewey-search | 620.11 |
| dewey-sort | 3620.11 |
| dewey-tens | 620 - Engineering and allied operations |
| doi_str_mv | 10.1017/9781009277242 |
| format | Electronic eBook |
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| id | DE-604.BV049604214 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:35:08Z |
| indexdate | 2024-09-24T12:00:37Z |
| institution | BVB |
| isbn | 9781009277242 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034948579 |
| oclc_num | 1427328287 |
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| owner_facet | DE-12 DE-92 DE-634 DE-83 |
| physical | 1 Online-Ressource (126 Seiten) |
| psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO BTU_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Cambridge University Press |
| record_format | marc |
| series2 | Elements of emerging theories and technologies in metamaterials |
| spelling | Li, Lianlin aut Intelligent metasurface sensors Lianlin Li, Hanting Zhao, Tie Jun Cui Cambridge Cambridge University Press 2023 1 Online-Ressource (126 Seiten) txt rdacontent c rdamedia cr rdacarrier Elements of emerging theories and technologies in metamaterials Title from publisher's bibliographic system (viewed on 28 Dec 2023) Intelligent electromagnetic (EM) sensing is a powerful contactless examination tool in science, engineering and military, enabling us to 'see' and 'understand' visually invisible targets. Using intelligence, the sensor can organize by itself the task-oriented sensing pipeline (data acquisition plus processing) without human intervention. Intelligent metasurface sensors, synergizing ultrathin artificial materials (AMs) for flexible wave manipulation and artificial intelligences (AIs) for powerful data manipulation, emerge in response to the proper time and conditions, and have attracted growing interest over the past years. The authors expect that the results in this Element could be utilized to achieve the goal that conventional sensors cannot achieve, and that the developed strategies can be extended over the entire EM spectra and beyond, which will produce important impacts on the society of the robot-human alliance Metasurfaces Detectors / Materials Machine learning Zhao, Hanting aut Cui, Tie Jun ca. 20./21. Jh. (DE-588)1228649545 aut Erscheint auch als Druck-Ausgabe 978-1-009-45413-1 Erscheint auch als Druck-Ausgabe 978-1-009-27727-3 https://doi.org/10.1017/9781009277242 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Li, Lianlin Zhao, Hanting Cui, Tie Jun ca. 20./21. Jh Intelligent metasurface sensors Metasurfaces Detectors / Materials Machine learning |
| title | Intelligent metasurface sensors |
| title_auth | Intelligent metasurface sensors |
| title_exact_search | Intelligent metasurface sensors |
| title_exact_search_txtP | Intelligent metasurface sensors |
| title_full | Intelligent metasurface sensors Lianlin Li, Hanting Zhao, Tie Jun Cui |
| title_fullStr | Intelligent metasurface sensors Lianlin Li, Hanting Zhao, Tie Jun Cui |
| title_full_unstemmed | Intelligent metasurface sensors Lianlin Li, Hanting Zhao, Tie Jun Cui |
| title_short | Intelligent metasurface sensors |
| title_sort | intelligent metasurface sensors |
| topic | Metasurfaces Detectors / Materials Machine learning |
| topic_facet | Metasurfaces Detectors / Materials Machine learning |
| url | https://doi.org/10.1017/9781009277242 |
| work_keys_str_mv | AT lilianlin intelligentmetasurfacesensors AT zhaohanting intelligentmetasurfacesensors AT cuitiejun intelligentmetasurfacesensors |