The practice of literate programming is not widespread because existing literate programming systems have some undesirable characteristics such as programming language and text processor dependence and lack of flexible tools for viewing and manipulation of the source file. This dissertation describes the literate programming system AOPS (Abstraction Oriented Programming System)...
There are five main contributions of this dissertation. The first contribution is new closed-form expressions for channel capacity of a new class of channel matrices. The second contribution is the discovery of the structure for optimal binary quantizer and the associated methods for finding an optimal quantizer that maximizes mutual...
Structure Query Language (SQL) is widely used to access data stored in relational database systems. Although a powerful and flexible language, SQL can also be complex and hard to learn. For most new SQL users, it's easy to write SQL statement by following SQL grammar and syntax rules, but it's...
Dynamic CMOS circuits are commonly used in high-performance memory arrays to implement wide-NOR logic functions for their read and search operations. This is because dynamic circuits have significantly higher speed and lower area compared to static circuits for performing similar operations. Register File (RF) arrays are located at the top...
This thesis describes the design of a baseband digital predistortion
architecture for radio frequency (RF) amplifier linearization. Existing amplifier
linearization techniques are first examined. The nonlinearity of an amplifier can
be characterized as amplitude-to-amplitude distortion and amplitude-to-phase
distortion. The distortion can be corrected by providing a predistorted driver
signal (both...
Artificial Intelligence (AI) planning techniques have been central to automating a gamut of tasks from the mundane route planning and beer production to the ethereal image processing of space-ship images. Of all the planning techniques, hierarchical- decomposition planning has been the technique most employed in industrial-strength planners. Hierarchical-decomposition planning is...
This thesis deals with target localization using multiple-input multiple-output (MIMO) radars. In the field of communications, navigation, radar, and sensing networks, one of the common and most sophisticated problems is target localization. We develop a target localization scheme in distributed MIMO radar systems using bistatic range measurements. The localization approach...
General purpose computer systems have seen increased performance potential through the parallel processing capabilities of multicore processors. Yet this potential performance can only be attained through parallel applications, thus forcing software developers to rethink how everyday applications are designed. The most readily form of Thread Level Parallelism (TLP) within any...
Error correction codes (ECCs) have been widely used in communication systems and storage devices. Nowadays, the rapid development of integrated circuit technologies makes feasible the implementation of powerful ECCs such as turbo code and low-density parity-check (LDPC) code. However, these high-performance codes require complex decoding algorithms, resulting in large hardware...
Network coding, as the next generation of data routing protocols, enables each intermediate node in a network to process and encode its received data before forwarding it to the next nodes. Hence, the core idea in network coding is to allow a network to encode the data that is being...
Authentication is a means of developing an electronic signature that works like a written signature. It assumes that your data is publicly known but nevertheless ensures that the message is not tampered with and that you have an audit trail.
This project discusses the techniques and concepts used to design...
The Vehicle Preventative Maintenance System (VPMS) is a 4GL application system that keep track of information required for vehicle maintenance. It can be used to schedule routine vehicle maintenance, and to produce complete and accurate vehicle cost reports, enabling its users to optimize vehicle maintenance. In this report, after describing...
Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
Efficient routing of information packets in dynamically changing communication networks requires routing policies that adapt to changes in load levels, traffic patterns and network topologies. Reinforcement Learning (RL) is an area of artificial intelligence that studies algorithms that dynamically optimize their performance based on experience in an environment. RL, thus,...
In this work, we study network coding technique, its relation to random matrices, and their applications to communication systems. The dissertation consists of three main contributions. First, we propose efficient algorithms for data synchronization via a broadcast channel using random network coding. Second, we study the resiliency of network coding...
Transmission over wireless networks presents multiple technical challenges due to
noise, interference, fading, power constraints and bandwidth limitation. Different
solutions have been propposed to overcome these issues and some of them are
treated here. Cooperative diversity has been proposed as an implementation for
networks where terminals are restricted to using...
Markov Decision Process (MDP) is a well-known framework for devising the optimal decision making strategies under uncertainty. Typically, the decision maker assumes a stationary environment which is characterized by a time-invariant transition probability matrix. However, in many real-world scenarios, this assumption is not justified, thus the optimal strategy might not...
We develop efficient coordination techniques that support inelastic traffic in large-scale distributed dynamic spectrum access DSA networks. By means of any learning algorithm, the proposed techniques enable DSA users to locate and exploit spectrum opportunities effectively, thereby increasing their achieved throughput (or "rewards" to be more general). Basically, learning algorithms...
In this dissertation, we explored multiple coding techniques to reduce energy consumption, improve performance, and secure wireless sensor networks specifically and ad-hoc networks in general. With the introduction of Internet of Things (IoT) and 5G technologies, wireless sensor networks are quickly emerging as an important and key technology in the...
The widespread use of wireless devices that we have recently been witnessing, such as smartphones, tablets, laptops, and wirelessly accessible devices in general, is causing an unprecedented growth in the required amount of the wireless radio spectrum. On the other hand, the spectrum resource has, for the last several decades,...
Worst-case analysis is often meaningless in practice. Some problems never reach the anticipated worst-case complexity. Other solutions get bogged down with impractical constants during implementation, despite having favorable asymptotic running times. In this thesis, we investigate these contrasts in the context of finding maximum flows in planar digraphs. We suggest...
We consider the parallelization of Monte Carlo algorithms for analyzing numerical models of charge transport used in semiconductor device physics. Parallel algorithms for the standard k-space Monte Carlo simulation of a three band model of bulk GaAs on hypercube multicomputers are first presented. This Monte Carlo model includes scattering due...
The Soil Conditioning Index (SCI) aids the conservationist in designing crop rotations and residue management practices when low organic matter, poor soil tilt, and crusting problems are identified. The Natural Resources and Conservation Services (NRCS) field staff and others use the SCI as a qualitative tool during conservation planning. In...
It has been estimated that data traffic from the different mobile devices that range from smartphones to machine-to-machine (M2M) devices will exceed 15.9 exabyte per month by the year 2018. With this immense data growth, the current wireless communication systems suffer from the scarcity of the radio spectrum and eventually...
Reinforcement Learning (RL) is the study of learning agents that improve
their performance from rewards and punishments. Most reinforcement learning
methods optimize the discounted total reward received by an agent, while, in many
domains, the natural criterion is to optimize the average reward per time step. In this
thesis, we...
We have developed a prototype web-based GIS application for tracking the locations of moving entities. This application, which is called the Responder application, consists of two parts: the Responder client and the Responder server. The Responder client is a .NET application written in C#. It reads the location data from...
The communication in MLS cross-domain environments faces many challenges. The three most important challenges are efficient key management, privacy preserving and covert channel. We propose an Efficient, Secure and Covert Channel Capacity Bounded Protocol which has three algorithms that addresses these challenges: The Efficient Attribute-based Fine-Grained Authentication (EAFA) algorithm, Anonymous...
The ubiquity of high quality video and proliferation of mobile devices has contributed to an unprecedented rise in video consumption. HTTP, in conjunction with adaptive streaming, has become the de facto mechanism for delivering the vast majority of video as it readily caters to heterogeneous networks and devices. This dissertation...
MANETs are known to be useful in situations where mobile nodes need to communicate and coordinate in dynamic environments with no access to fixed network infrastructure. However, connectivity problems can occur when sub-groups within a MANET move out of communication range from one another. The increasingly prolific use of UAVs...
We investigate a number of techniques for increasing throughput and quality of media applications over wireless networks. A typical media communication application such as video streaming imposes strict requirements on the delay and throughout of its packets, which unfortunately, cannot be guaranteed by the underlying wireless network due inherently to...
A distributed system is a network of multiple autonomous computational nodes designed primarily for performance scalability and robustness. The performance of a distributed system depends critically on how tasks and resources are distributed among the nodes. Thus, a main thrust in distributed system research is to design schemes for distributing...
This report presents a graphical tool for implementation of the scheduling heuristics provided by Kruatrachue. The input of scheduling is a task graph and the output is a schedule in the form of a Gantt chart. The implemented scheduling heuristics are: 1) Hu's HLF (highest level first) algorithm. 2) Yu's...
The processor allocation in an n-dimensional hypercube multiprocessor using buddy strategy, gray code strategy, and a new strategy is implemented on Macintosh. Our implementations show that when processor relinquishment is not considered (i.e. static allocation), all these strategies are optimal in the sense that each incoming request sequence is always...
I introduce a compositional approach to application software development. In this approach, an extended entity-relationship diagram (EERD), which represents the component types and the relationship types within an application domain, is used as a template of executable programs in that application domain. As we use structural active objects as the...
"Collaborative filtering has seen considerable success in the areas regarding
information overload and e-commerce, while the current developed systems are
flawed in several respects. Two approaches, the distribution-based algorithm and
the blurring profile solution, are proposed to address several outstanding issues.
The main findings of this research include:
• The...
Low-Density Parity-check (LDPC) codes have attracted considerable attention due to their capacity approaching performance over AWGN channel and highly parallelizable decoding schemes. They have been considered in a variety of industry standards for the next generation communication systems. In general, LDPC codes achieve outstanding performance with large codeword lengths (e.g.,...
Seed-Lab, is a software system for managing seed laboratory information. It was developed at the Oregon State University Seed Testing Laboratory. Seed-Lab was built around a database development package Revelation, which provides its own programming language.
Seed-Lab shields the user from the complexities of database management by supporting menu driven...
Traditional approaches to streaming H.264 video over a network typically rely on a single method of transport (i.e., reliable or unreliable) and/or use static values for parameters that can have a significant negative impact on the perceptual quality of the received video. This dissertation presents a dynamic method for wireless...
Correctness and efficiency are important properties of programs. However, to support maintenance and debugging, the programs should also be understandable. Program explanations also play a vital role in educational settings, enhancing the understanding of programs among students.
Proof trees provide a sound basis for generating dynamic explanations of programs. But...
Parallel programming is the major stumbling block preventing the parallel processing industry from quickly satisfying the demand for parallel computer software. This research is aimed at solving some of the problems of software development for parallel computers. ELGDF is a graphical language for designing parallel programs. The goal of ELGDF...
Parallel solutions for two classes of linear programs are
presented. First we parallelized the two-phase revised simplex
algorithm and showed that it is possible to get linear improvement in
performance. The simplex algorithm is the best known algorithm for
solving linear programs, and we claim our result is the best...
In this paper we outline an implementation of Linda on a network of Unix workstations. A literature survey was done to gain a better perspective on state of the art and to learn from the experiences of other implementations. The tuple space which is central to the Linda system is...
Wireless Networks have been widely adopted into a major part of today's network infrastructure. They have become a popular technology to not only expand the coverage of wired networks but also to interconnect a large wireless network, i.e., wireless mesh networks. As they allow more flexible communication than traditional wired-networks...
The Advanced Encryption Standard (AES) is the new standard for cryptography and has gained wide support as a means to secure digital data. Hence, it is beneficial to develop an implementation of AES that has a high throughput. SIMD technology is very effective in increasing the performance of some cryptographic...
Energy consumption has become a great deal for cloud service providers due to financial as well as environmental concerns. Studies show that cloud servers operate, most of the time, at only between 10% and 50% of their maximal utilizations. These same studies also show that servers that are kept ON...
Cryptographic devices leak timing and power consumption information that is easily measurable, radiation of various levels, and more. Such devices also have additional inputs, other than plaintext and keys, like voltage, which can be modified to force the device to produce certain faulty outputs that can be used to reveal...
As the Tekbots program expands into senior and graduate level classes at Oregon State University, so does the need arise for more complex learning platforms. These complex hardware platforms cannot be adequately tested in a manufacturing environment as we have done previously. Also, due to their complexity, these platforms require...
Linear transformation for dimension reduction is a well established problem in the field of machine learning. Due to the numerous observability of parameters and data, processing of the data in its raw form is computationally complex and difficult to visualize. Dimension reduction by means of feature extraction offers a strong...
In this report., we address the issues of translating MATLAB scripts into SPMD-style C programs. The resulting programs, when linked with our run-time library are suitable for execution on parallel computers. We describe the design of the compiler and improvements made to it in the current version. We also describe...