Sharif Digital Repository

FPGA is a suitable substrate for implementation of embedded systems, mobiles, and hand-held devices due to cost reduction for \emph{Non-Recurring Engineering (NRE)}, short time to market, design flexibility, and reprogramming capability. Significant downscaling of CMOS technology feature size has led to static power growth rate, which is a limiting factor in further scaling. Previous studies aimed at reducing power consumption, mainly have focused on the power consumption of logical resources. However, proposing a low power architecture in routing network affects the power consumption of FPGAs significantly, because of the dominant power consumption in the routing network. This thesis... 

Machine learning algorithms are achieving state-of-the-art performance in many various applications such as image processing, machine vision, speech recognition, diagnosis diseases, robotics, military, and aerospace. For decades, the usage of machine learning algorithms especially Neural Network Algorithms (NNA) has been restricted due to their complexity and high computation time of available inefficient hardwares. Although advances in technology and the emergence of powerful processors has increased the usage of NNAs, especially Deep Neuaral Networks (DNNs), the research gap in machine learning hardware platform with high performance as well as high energy efficiency is still remaining.... 

Intrusion Detection System (IDS) is an equipment destined to provide computer networks security. In recent years, Machine Learning and Deep Neural Network (DNN) methods have been considered as a way to detect new network attacks. Due to the huge amounts of calculations needed for these methods, there is a need for high performance and parallel or specific processors, such as Application Specific Integrated Circuit (ASIC), Graphical Processor Unit (GPU) and Field-Programmable Gate Array (FPGA). The latter seems more suitable than others due to its higher configurability and lesser power consumption. The goal of this study is the acceleration of a DNN-based IDS on FPGA. In this study, which is... 

Very dangerous gases are used in ion implanter machines. Opening and closing the valves of these gases can be very dangerous. In this project, these valves are inspected, monitored and opened and closed from a safe distance. To do this, we must monitor and control the above system by using the latest and most efficient technologies available and with the least delay. For accurate and precise monitoring, clear images should be obtained from the location and changes should be detected, and the device can be controlled very quickly with the necessary commands. To do this, one must have an accurate and comprehensive knowledge of processors and communication protocols, and also pay attention to... 

Today, telecommunication links transmit information wirelessly at high rates; The transmission channel is not ideal and the transmitted signal undergoes changes in the channel and then reaches the receiver; Also, the processing blocks in the transmitter and receiver are not completely similar and ideal; These two factors make it difficult for the receiver to recover the transmitted information and actually receives a signal that bears little resemblance to the transmitted signal. The most important effect that the channel has on the transmitted signal is due to the multi-path of the channel between the transmitter and the receiver, which causes a signal to reach the receiver through the... 

Protein, as the functional unit of the cell, plays a vital role in its biological function. With the advent of advanced sequencing techniques in recent years and the consequent exponential growth of the number of protein sequences extracted from diverse biological samples, their analysis, comparison, and classification have faced a considerable challenge. Existing methods for comparing proteins divide into two categories: methods based on alignment and alignment-free. Although alignment-based methods are among the most accurate methods, they face inherent limitations such as poor analysis of protein groups with low sequence similarity, time complexity, computational complexity, and memory... 

Convolutional Neural Networks are a kind of neural network applicable in machine vision and image processing. The accuracy of these networks is dependent on different features such as network size network and input size. Today, researchers are improving the accuracy of neural networks by increasing their size. As a result, networks' computation will increase as well. The bigger the size of the neural network, the harder its hardware implementation. One of the proposed solutions to overcome this issue is to change the number representation while preserving the network accuracy. It's challenging to implement floating-point computation on hardware as it consumes a high amount of power and... 

There are three types of Slices in an FPGA, and based on the functionality of these slices, SliceM has the most features especially for designs based on shift registers, adders, and ROMs, and from all of the slices, 25% of them are SliceM. Among the earlier designs that are FPGA-based, Anderson PUF is that is classified as a weak delay-based PUF. In Anderson’s design there always should be atleast two SliceMs that their LUTs are configured as shift registers, the Andersons PUF in some FPGA Architecture especially Series 7 FPGAs, consumes two SliceMs and two other SliceLs, so practically we are using four of our precious slices. Rather than these, in series 6 FPGAs, the design should change... 

In recent years, due to the drawback of rule-based firewalls in detecting unknown attacks, using neural networks has got more attention to be used in firewalls. As the computation load of neural networks are so much there is a need to decrease the processing time and power consumption as they are under load 24/7. Although there have been huge achievements in the usage of graphics processing units (which contain numerous processing cores) in neural networks, their high power consumption has made the scientists think about an alternative to implement neural networks. Field Programmable Gate Array (FPGA) is one of the most serious candidates to be used for implementing neural networks. The goal... 

Deep learning, as a subdivision of machine learning, attempts to model high-level concepts by using a deep graph, consisting of several layers of linear and nonlinear transformations. Implementing these algorithms on hardware is a big challenge.¬This project offers a system in which various hardware methodologies can be used to implement deep learning algorithms side by side. The overall structure of the system consists of high-level programming interfaces for implementation and expression of machine learning algorithms by the user, which will be available as libraries in a high-level programming language such as Python, Ruby, and Julia. These interfaces allow the user to evaluate their... 

Looking for eye paths is widely used in various research and even commercial areas, Eye trackers that are used commercially today do this by using infrared transmitters and receivers. As the speed and performance of the processors advanced, many efforts have been made to create an eye-tracking device using visible light without any movement restrictions for the subject, and efforts to increase the accuracy and speed of sampling are still ongoing; The initial methods proposed in this area are feature-based, but newer papers and researches have used Deep learning methods to do this. The commonly used methods for eye tracking in visible light are three main steps: 1. Fetching frames from the...