Virtual network technics in Internet of Things

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dc.contributor.advisorGál, Zoltán
dc.contributor.authorAl-Akrawee, Hussein
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2023-04-20T09:24:22Z
dc.date.available2023-04-20T09:24:22Z
dc.date.created2023-04-19
dc.description.abstractVirtual networks are a crucial technology of the Internet of Things (IoT). They enable devices and sensors to interact with each other and with the cloud.The ability of IoT virtual networks to link numerous devices with minimum infrastructure is a big benefit. Our project demonstrates how to access sensor data from IoT devices using the IoT PnP app and MXCHIP through Microsoft Azure and Visual Studio Code (VS Code).Overall, we aimed to explore the potential of using accelerometer data from the MXCHIP Devkit to predict hand movement for the purpose of detecting writing. Through the collection and labelling of accelerometer data, we were able to train a decision tree classifier using sklearn library. The classifier was able to accurately distinguish between hand movement associated with writing and non-writing activities, achieving an accuracy score of 97% on the test dataset.
dc.description.correctorN.I.
dc.description.courseComputer Science Engineering
dc.description.degreeMSc/MA
dc.format.extent51
dc.identifier.urihttps://hdl.handle.net/2437/350340
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectVirtual Networks
dc.subjectMicrosoft Azure
dc.subjectSesors Data
dc.subjectApplication Programming Interface
dc.subjectPredict hand movments
dc.subjectDetect writing
dc.subjectMachine learning
dc.subjectPostman API Platform
dc.subjectPython scirpting
dc.subject.dspaceDEENK Témalista::Informatika::Információtechnológia
dc.titleVirtual network technics in Internet of Things
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