Essays about: "Arm Cortex"
Showing result 1 - 5 of 40 essays containing the words Arm Cortex.
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1. Using ARM TrustZone for Secure Resource Monitoring of IoT Devices Running Contiki-NG
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The rapid development of Internet of Things (IoT) devices has brought unparalleled convenience and efficiency to our daily lives. However, with this exponential growth comes the pressing need to address the critical security challenges posed by these interconnected devices. READ MORE
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2. Investigation of dynamic control ML algorithms on existing and future Arm microNPU systems
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In this thesis, dynamically controlled machine learning algorithms running on state of the art Arm microNPUs, with an attached Cortex-M CPU, were investigated. The machine learning framework used was Tensorflow and different subsets of it, such as Tensorflow Lite micro. READ MORE
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3. Aggregator to connect in-body sensors to the health record system
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Wireless connected Implanted Medical Devices are becoming more and more common. Also, the increasing connectivity of medical sensors opens room for improving one important field of Health Care, Remote Patients Monitoring. READ MORE
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4. Evaluation of embedded processors for next generation asic : Evaluation of open source Risc-V processors and tools ability to perform packet processing operations compared to Arm Cortex M7 processors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Nowadays, network processors are an integral part of information technology. With the deployment of 5G network ramping up around the world, numerous new devices are going to take advantage of their processing power and programming flexibility. READ MORE
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5. Optimizing Convolutional Neural Networks for Inference on Embedded Systems
University essay from Uppsala universitet/Signaler och systemAbstract : Convolutional neural networks (CNN) are state of the art machine learning models used for various computer vision problems, such as image recognition. As these networks normally need a vast amount of parameters they can be computationally expensive, which complicates deployment on embedded hardware, especially if there are contraints on for instance latency, memory or power consumption. READ MORE
