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dc.contributor.authorDobrik, Andrej
dc.date.accessioned2019-03-04T10:05:39Z
dc.date.available2019-03-04T10:05:39Z
dc.date.issued2018cs
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 147-149. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138196
dc.description.abstractIn the past few years there has been a quite significant shift in how customers interact with their smart devices. Strong emphasis is laid on the usage convenience of the device. For people, the most convenient way to communicate is through voice interaction. Many companies have realized this change and started to develop software and hardware to support it. The main focus of this work is the development of a new unique Amazon Alexa skill that recommends appropriate windsurfing equipment based on weather conditions.en
dc.formattextcs
dc.format.extent147-149cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 24th Conference STUDENT EEICT 2018en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.subjectAWSen
dc.subjectAmazon Echoen
dc.subjectcustom skillen
dc.subjectresource linkingen
dc.subjectLambda functionen
dc.subjectsmart homeen
dc.titleAmazon Alexa Weather Skill Implementationen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionPublishers's versionen


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