Essays about: "Industrial Internet of Things IIoT"
Showing result 16 - 20 of 49 essays containing the words Industrial Internet of Things IIoT.
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16. Diagnostics Framework for Time-Critical Control Systems in Cloud-Fog Automation
University essay from Mälardalens universitet/Inbyggda systemAbstract : Evolving technology in wireless telecommunication, such as 5G, provides opportunities to utilize wireless communication more in an industrial setting where reliability and predictability are of great concern. More capable Industrial Internet of Things devices (IIoT) are, indeed, a catalyst for Industry 4.0. READ MORE
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17. Scalable Predictive Maintenance through the Eclipse Arrowhead Framework
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : With the rise of Industry 4.0 and the 4:th industrial revolution withthe Internet of Things, infrastructures have become more prevalent to connect and monitor many different systems within an industrial set-ting. READ MORE
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18. Evaluation of Industrial Controllers’ Connectivity using MQTT Message Protocol
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The increase of the Industrial Internet of Things (IIoT) and Industry 4.0 led to many interconnections in the control systems. IIoT has begun its evolution and development in the scientific community and industrial application field. READ MORE
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19. A framework for implementation of real-time monitoring through IIoT
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : In the global and dynamic business environment of today, Industry 4.0 and the development of digital networking and real-time connection are pushing manufacturing companies to introduce new technologies into their manufacturing processes. IIoT is seen as a key element of Industry 4. READ MORE
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20. Detection Of Malicious Activity in Network Traffic on a Binary Representation using Image Analysis
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : In this thesis, we explore the idea of using binary visualization and image analysis to detect anomalous activity on an Industrial Internet of Things (IIoT) based network. The data is gathered into a pcap file and then fed into our encoder, which uses a space-filling curve to convert the 1-dimensional stream of data into pixels with a specific red, blue, and green gradient value. READ MORE