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Wei F, Xiang F, Chu B, Noche B (2021). Feature fusion algorithm based on modular scalable integrated sensor behavior recognition. Logistics Journal : Proceedings, Vol. 2021. (urn:nbn:de:0009-14-54471)
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%0 Journal Article %T Feature fusion algorithm based on modular scalable integrated sensor behavior recognition %A Wei, Fuyin %A Xiang, Fei %A Chu, Bohao %A Noche, Bernd %J Logistics Journal : Proceedings %D 2021 %V 2021 %N 17 %@ 2192-9084 %F wei2021 %X Based on the behavior recognition model of Convolutional Neural Network, we developed a modular scalable integrated (MSI) sensor system together with a signal feature fusion algorithm. The integrated sensor system can obtain high-quality signals without having to be embedded in the body of the object and has good modular scalability and timeliness. The feature fusion algorithm improves the recognition accuracy as well as the robustness of the model. %L 620 %K Convolutional Neural Network %K Feature-Fusion %K Genauigkeit %K Robustheit %K accuracy %K feature fusion %K modular scalable integrated sensor %K modularer skalierbarer integrierter Sensor %K robustness %R 10.2195/lj_Proc_wei_en_202112_01 %U http://nbn-resolving.de/urn:nbn:de:0009-14-54471 %U http://dx.doi.org/10.2195/lj_Proc_wei_en_202112_01Download
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@Article{wei2021, author = "Wei, Fuyin and Xiang, Fei and Chu, Bohao and Noche, Bernd", title = "Feature fusion algorithm based on modular scalable integrated sensor behavior recognition", journal = "Logistics Journal : Proceedings", year = "2021", volume = "2021", number = "17", keywords = "Convolutional Neural Network; Feature-Fusion; Genauigkeit; Robustheit; accuracy; feature fusion; modular scalable integrated sensor; modularer skalierbarer integrierter Sensor; robustness", abstract = "Based on the behavior recognition model of Convolutional Neural Network, we developed a modular scalable integrated (MSI) sensor system together with a signal feature fusion algorithm. The integrated sensor system can obtain high-quality signals without having to be embedded in the body of the object and has good modular scalability and timeliness. The feature fusion algorithm improves the recognition accuracy as well as the robustness of the model.", issn = "2192-9084", doi = "10.2195/lj_Proc_wei_en_202112_01", url = "http://nbn-resolving.de/urn:nbn:de:0009-14-54471" }Download
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TY - JOUR AU - Wei, Fuyin AU - Xiang, Fei AU - Chu, Bohao AU - Noche, Bernd PY - 2021 DA - 2021// TI - Feature fusion algorithm based on modular scalable integrated sensor behavior recognition JO - Logistics Journal : Proceedings VL - 2021 IS - 17 KW - Convolutional Neural Network KW - Feature-Fusion KW - Genauigkeit KW - Robustheit KW - accuracy KW - feature fusion KW - modular scalable integrated sensor KW - modularer skalierbarer integrierter Sensor KW - robustness AB - Based on the behavior recognition model of Convolutional Neural Network, we developed a modular scalable integrated (MSI) sensor system together with a signal feature fusion algorithm. The integrated sensor system can obtain high-quality signals without having to be embedded in the body of the object and has good modular scalability and timeliness. The feature fusion algorithm improves the recognition accuracy as well as the robustness of the model. SN - 2192-9084 UR - http://nbn-resolving.de/urn:nbn:de:0009-14-54471 DO - 10.2195/lj_Proc_wei_en_202112_01 ID - wei2021 ER -Download
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PT Journal AU Wei, F Xiang, F Chu, B Noche, B TI Feature fusion algorithm based on modular scalable integrated sensor behavior recognition SO Logistics Journal : Proceedings PY 2021 VL 2021 IS 17 DI 10.2195/lj_Proc_wei_en_202112_01 DE Convolutional Neural Network; Feature-Fusion; Genauigkeit; Robustheit; accuracy; feature fusion; modular scalable integrated sensor; modularer skalierbarer integrierter Sensor; robustness AB Based on the behavior recognition model of Convolutional Neural Network, we developed a modular scalable integrated (MSI) sensor system together with a signal feature fusion algorithm. The integrated sensor system can obtain high-quality signals without having to be embedded in the body of the object and has good modular scalability and timeliness. The feature fusion algorithm improves the recognition accuracy as well as the robustness of the model. ERDownload
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<mods> <titleInfo> <title>Feature fusion algorithm based on modular scalable integrated sensor behavior recognition</title> </titleInfo> <name type="personal"> <namePart type="family">Wei</namePart> <namePart type="given">Fuyin</namePart> </name> <name type="personal"> <namePart type="family">Xiang</namePart> <namePart type="given">Fei</namePart> </name> <name type="personal"> <namePart type="family">Chu</namePart> <namePart type="given">Bohao</namePart> </name> <name type="personal"> <namePart type="family">Noche</namePart> <namePart type="given">Bernd</namePart> </name> <abstract>Based on the behavior recognition model of Convolutional Neural Network, we developed a modular scalable integrated (MSI) sensor system together with a signal feature fusion algorithm. The integrated sensor system can obtain high-quality signals without having to be embedded in the body of the object and has good modular scalability and timeliness. The feature fusion algorithm improves the recognition accuracy as well as the robustness of the model.</abstract> <subject> <topic>Convolutional Neural Network</topic> <topic>Feature-Fusion</topic> <topic>Genauigkeit</topic> <topic>Robustheit</topic> <topic>accuracy</topic> <topic>feature fusion</topic> <topic>modular scalable integrated sensor</topic> <topic>modularer skalierbarer integrierter Sensor</topic> <topic>robustness</topic> </subject> <classification authority="ddc">620</classification> <relatedItem type="host"> <genre authority="marcgt">periodical</genre> <genre>academic journal</genre> <titleInfo> <title>Logistics Journal : Proceedings</title> </titleInfo> <part> <detail type="volume"> <number>2021</number> </detail> <detail type="issue"> <number>17</number> </detail> <date>2021</date> </part> </relatedItem> <identifier type="issn">2192-9084</identifier> <identifier type="urn">urn:nbn:de:0009-14-54471</identifier> <identifier type="doi">10.2195/lj_Proc_wei_en_202112_01</identifier> <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-14-54471</identifier> <identifier type="citekey">wei2021</identifier> </mods>Download
Full Metadata
Bibliographic Citation | Logistics Journal : referierte Veröffentlichungen, Vol. 2021, Iss. 17 |
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Title |
Feature fusion algorithm based on modular scalable integrated sensor behavior recognition (eng) |
Author | Fuyin Wei, Fei Xiang, Bohao Chu, Bernd Noche |
Language | eng |
Abstract | Based on the behavior recognition model of Convolutional Neural Network, we developed a modular scalable integrated (MSI) sensor system together with a signal feature fusion algorithm. The integrated sensor system can obtain high-quality signals without having to be embedded in the body of the object and has good modular scalability and timeliness. The feature fusion algorithm improves the recognition accuracy as well as the robustness of the model. Basierend auf dem Verhaltenserkennungsmodell des Convolutional Neural Network haben wir ein modulares skalierbares integriertes (MSI) Sensorsystem zusammen mit einem Signal-Feature-Fusion-Algorithmus entwickelt. Das integrierte Sensorsystem kann hochqualitative Signale erhalten, ohne in den Körper des Objekts eingebettet werden zu müssen, und weist eine gute modulare Skalierbarkeit und Aktualität auf. Der Feature-Fusion-Algorithmus verbessert die Erkennungsgenauigkeit sowie die Robustheit des Modells. |
Subject | Convolutional Neural Network, Feature-Fusion, Genauigkeit, Robustheit, accuracy, feature fusion, modular scalable integrated sensor, modularer skalierbarer integrierter Sensor, robustness |
DDC | 620 |
Rights | fDPPL |
URN: | urn:nbn:de:0009-14-54471 |
DOI | https://doi.org/10.2195/lj_Proc_wei_en_202112_01 |