Essays about: "8-bit"
Showing result 11 - 15 of 48 essays containing the word 8-bit.
-
11. Adversarial Example Transferabilty to Quantized Models
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Deep learning has proven to be a major leap in machine learning, allowing completely new problems to be solved. While flexible and powerful, neural networks have the disadvantage of being large and demanding high performance from the devices on which they are run. READ MORE
-
12. Board and Chip Diversity in Deep Learning Side-Channel Attacks : On ATtiny85 Implementations Featuring Encryption and Communication
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Hardware security is an increasingly relevant topic because more and more systems and products are equipped with embedded microcontrollers. One type of threat against hardware security is attacks against encryption implementations in embedded hardware. READ MORE
-
13. Methods to simulate resistance at high resolution and accuracy
University essay from Uppsala universitet/ElektricitetsläraAbstract : In this paper, four methods to simulate or generate electric resistance at high resolution have been developed, tested and evaluated. Each method is called a Resistor Simulator and are numbered from one to four. READ MORE
-
14. A design of a 100 MS/s, 8-bit Pipelined ADC in CMOS
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The thesis focuses on designing and simulating an 8-bit high-speed fully differential pipelined Analog to Digital Converter (ADC) in the 65nm Complementary Metal-Oxide-Semiconductor (CMOS) technology by using the software Cadence Virtuoso. The aim is to increase the operation speed of the ADC for communication systems without reducing the performance, in the meantime, the low power consumption and the low complexity should also be required when considering future implementation. READ MORE
-
15. 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
