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Visar resultat 1 - 5 av 7 uppsatser som matchar ovanstående sökkriterier.
1. Using ARM TrustZone for Secure Resource Monitoring of IoT Devices Running Contiki-NG
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
2. RTIC Scope : Real-Time Tracing for the RTIC RTOS Framework
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : 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. LÄS MER
3. Implementation av ny ARM Cortex-M mikrokontroller i QEMU
Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : Through emulation of hardware, development can be achieved prior to receiving said hardware.With that, the development process will accelerate. The purpose of the thesis is to adapt an emulator for proprietary hardware modules at Cytiva. Towork with hardware during development and testing has some disadvantages. LÄS MER
4. Investigation of dynamic control ML algorithms on existing and future Arm microNPU systems
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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. LÄS MER
5. Real time Rust on multi-core microcontrollers
Master-uppsats, Luleå tekniska universitet/DatavetenskapSammanfattning : 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. LÄS MER