Essays about: "cortex-m"
Showing result 1 - 5 of 6 essays containing the word cortex-m.
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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. RTIC Scope : Real-Time Tracing for the RTIC RTOS Framework
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Work done at Luleå Technical University regarding the RTIC RTOS framework is expanded upon to yield a convenient toolset for event-based instrumentation by exploiting debug peripherals available on the ARMv7-M platform. By parsing the source of an RTIC application and recovering instrumentation metadata from user-supplied information, the target-emitted trace stream is decoded and mapped to RTIC task events, yielding a timeline of events that can be analyzed live and postmortem by help of a recording host-side daemon. READ MORE
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3. 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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4. Real time Rust on multi-core microcontrollers
University essay from Luleå tekniska universitet/DatavetenskapAbstract : Today the majority of embedded software is written in C or C++ using the thread paradigm. C and C++ are memory unsafe programming languages that often appear in CVE (Common Vulnerability and Exploits) reports. READ MORE
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5. Analysis of machine learning for human motion pattern recognition on embedded devices
University essay from KTH/MekatronikAbstract : With an increased amount of connected devices and the recent surge of artificial intelligence, the two technologies need more attention to fully bloom as a useful tool for creating new and exciting products. As machine learning traditionally is implemented on computers and online servers this thesis explores the possibility to extend machine learning to an embedded environment. READ MORE