Zobrazit minimální záznam

dc.contributor.authorBeneš, Filip
dc.contributor.authorStaša, Pavel
dc.contributor.authorŠvub, Jiří
dc.contributor.authorAlfian, Ganjar
dc.contributor.authorKang, Yong-Shin
dc.contributor.authorRhee, Jong-Tae
dc.date.accessioned2022-05-19T12:15:07Z
dc.date.available2022-05-19T12:15:07Z
dc.date.issued2022
dc.identifier.citationApplied Sciences. 2022, vol. 12, issue 3, art. no. 1277.cs
dc.identifier.issn2076-3417
dc.identifier.issn10.3390/app12031277
dc.identifier.urihttp://hdl.handle.net/10084/146194
dc.description.abstractAs a part of the supply chain, inventory management includes, among other things, maintaining the storage of stock, controlling the amount of product for sale and order fulfilment. In business terms, inventory management means the right stock, at the right levels, in the right place, at the right time. In the case of large outdoor warehouses, common identification methods are lengthy and inappropriate. One way to determine inventory easily and quickly is to deploy UAV’s (unmanned aerial vehicle) for product identification purposes. In this case, however, there is a problem in determining where the goods are located. A drone moves at higher altitudes, which can lead to a situation where we will not be able to determine the exact location of the goods. This article deals with a method of determining the correct flight level suitable to distinguish the identified items located at least 2 m apart. The evaluation is performed based on an RSSI (received signal strength indicator) value. The experiment proved that even at maximum reading distance of selected passive UHF RFID tags the two objects can be distinguished.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesApplied Sciencescs
dc.relation.urihttps://doi.org/10.3390/app12031277cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectRFIDcs
dc.subjectinventory managementcs
dc.subjectdronecs
dc.subjectunmanned aerial vehiclecs
dc.subjectRSSIcs
dc.subjectpositioningcs
dc.titleInvestigation of UHF signal strength propagation at warehouse management applications based on drones and RFID technology utilizationcs
dc.typearticlecs
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume12cs
dc.description.issue3cs
dc.description.firstpageart. no. 1277cs
dc.identifier.wos000759892400001


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Zobrazit minimální záznam

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.