Essays about: "network design implementation"
Showing result 11 - 15 of 407 essays containing the words network design implementation.
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11. Growing Furniture : Designing a mycelium side table
University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleAbstract : Product development can be taxing for the environment. When it comes to hardware products then a lot ofthe materials generally involved are based on finite resources such as fossil fuels. READ MORE
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12. Automating End Station Configuration: An Agile Approach to Time-Sensitive Networking
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Industries such as automotive and industrial automation are pushing the limits of networking technology. The Time-Sensitive Networking (TSN) standards offer a promising solution that can meet the demands of high-bandwidth applications with strict timing constraints, allowing time-critical traffic to coexist with other traffic. READ MORE
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13. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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14. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE
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15. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. READ MORE