Essays about: "real time network"
Showing result 1 - 5 of 730 essays containing the words real time network.
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1. Smart Alarm- On the performance characteristics of linear, multi-linear and non-linear tensor models for alarm prediction in multi-sensor data.
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Information and modern computing technology advancements have led to a rise in the importance of maintenance, particularly in areas where a single components failure could have a significant impact on the overall systems performance. Numerous industries, including Alfa Laval, are operating on conditional-based systems that provide warnings only when a machine fails. READ MORE
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2. Performance analysis of a non-synchronized heterogeneous TSN network
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : It is becoming increasingly important to provide mechanisms and features to support the strict real-time requirements in today's industrial networks. This has caused industries to look for solutions to have reliable time-sensitive network communication. READ MORE
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3. Continuous Parallel Approximate Frequent Elements Queries on Data Streams
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The frequent elements problem involves processing a stream of elements and finding all elements that occur more than a given fraction of the time. A relaxed version of this problem is the -approximate elements problem which allows some false positives. READ MORE
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4. Supply Chain Transformation by Blockchain Technology - Implementation of Blockchain Solutions in Supply Chains
University essay from Göteborgs universitet/Graduate SchoolAbstract : There are increasing disadvantages and challenges for traditional supply chains as the supply chains are getting more extended and complex, mainly due to the rapid changes in the market environment. We have various risks such as an increasing amount of corruption, lack of quality control and difficulties of tracing impacts of disruptions along the supply chain. READ MORE
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5. Physics-informed Neural Networks for Biopharma Applications
University essay from Umeå universitet/Institutionen för fysikAbstract : Physics-Informed Neural Networks (PINNs) are hybrid models that incorporate differential equations into the training of neural networks, with the aim of bringing the best of both worlds. This project used a mathematical model describing a Continuous Stirred-Tank Reactor (CSTR), to test two possible applications of PINNs. READ MORE
