Engineering Commons^™

Secure Two-Party Protocol For Privacy-Preserving Classification Via Differential Privacy, Manish Kumar

Boise State University Theses and Dissertations

Privacy-preserving distributed data mining is the study of mining on distributed data—owned by multiple data owners—in a non-secure environment, where the mining protocol does not reveal any sensitive information to the data owners, the individual privacy is preserved, and the output mining model is practically useful. In this thesis, we propose a secure two-party protocol for building a privacy-preserving decision tree classifier over distributed data using differential privacy. We utilize secure multiparty computation to ensure that the protocol is privacy-preserving. Our algorithm also utilizes parallel and sequential compositions, and applies distributed exponential mechanism to ensure that the output is differentially-private. …

Hexarray: A Novel Self-Reconfigurable Hardware System, Fady Hussein

Boise State University Theses and Dissertations

Evolvable hardware (EHW) is a powerful autonomous system for adapting and finding solutions within a changing environment. EHW consists of two main components: a reconfigurable hardware core and an evolutionary algorithm. The majority of prior research focuses on improving either the reconfigurable hardware or the evolutionary algorithm in place, but not both. Thus, current implementations suffer from being application oriented and having slow reconfiguration times, low efficiencies, and less routing flexibility. In this work, a novel evolvable hardware platform is proposed that combines a novel reconfigurable hardware core and a novel evolutionary algorithm.

The proposed reconfigurable hardware core is a …

Analog Spiking Neuromorphic Circuits And Systems For Brain- And Nanotechnology-Inspired Cognitive Computing, Xinyu Wu

Boise State University Theses and Dissertations

Human society is now facing grand challenges to satisfy the growing demand for computing power, at the same time, sustain energy consumption. By the end of CMOS technology scaling, innovations are required to tackle the challenges in a radically different way. Inspired by the emerging understanding of the computing occurring in a brain and nanotechnology-enabled biological plausible synaptic plasticity, neuromorphic computing architectures are being investigated. Such a neuromorphic chip that combines CMOS analog spiking neurons and nanoscale resistive random-access memory (RRAM) using as electronics synapses can provide massive neural network parallelism, high density and online learning capability, and hence, paves …

Developing An Application For Evolutionary Search For Computational Models Of Cellular Development, Nicolas Scott Cornia

Boise State University Theses and Dissertations

VPEvolve is a free and open source application that utilizes a Visual Programming Environment (VPE) for the setup of the Genetic Algorithm (GA), for optimization of computational models. Specifically, the User Interface uses connected glyphs to represent the genetic operators of mutation, reproduction, fitness and selection. These glyphs give the user an intuitive way to set the parameters for the GA, and better visualization of the population's flow through these operators.

VPEvolve is currently being developed alongside research being done in Biocomputing to create models of cellular regeneration based on the regenerative properties of Planaria or flatworms. Since these models …

A Systematic Approach To Verify An Embedded Capacitive Touchscreen System, Jeffrey Lee Richardson

Boise State University Theses and Dissertations

The conspicuously massive growth in the number of products utilizing capacitive touchscreen technology has raised awareness of the technology. The embedded system used to detect and report finger touches to the host is fairly complex and difficult to verify. An automated verification system is required to systematically test this type of system in a reasonable amount of time. This thesis describes the framework for an automated verification system for embedded capacitive touchscreen systems. The framework includes a Cartesian desktop robot, test instruments, communications bridge, and custom-built test management software. The criteria for selecting a Cartesian desktop robot rather than a …

Hardware Implementation Of Real-Time Operating System’S Thread Context Switch, Deepak Kumar Gauba

Boise State University Theses and Dissertations

Increasingly, embedded real-time applications use multi-threading. The benefits of multi-threading include greater throughput, improved responsiveness, and ease of development and maintenance. However, there are costs and pitfalls associated with multi-threading.

In some of hard real-time applications, with very precise timing requirements, multi-threading itself becomes an overhead cost mainly due to scheduling and contextswitching components of the real-time operating system (RTOS). Different scheduling algorithms have been suggested to improve the overall system performance. However, context-switching still consumes much of the processor’s time and becomes a major overhead cost especially for hard real-time embedded systems.

A typical RTOS context switch consumes 50 …