Multiparadigm programming languages are a recent development in the realm of programming languages. A multiparadigm programming language allows the use of multiple, differing programming paradigms without departing from a single, unified linguistic framework. Multiparadigm programming languages are claimed to have benefits to both pedagogy and complex application creation. The beneficial...
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...
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...
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...
Multiparadigm languages are languages that are designed to support more than one style of programming. Leda is a strongly-typed multiparadigm programming language that supports imperative, functional, object-oriented, and logic programming. The constraint programming paradigm is a declarative style of programming where the programmer is able to state relationships among some...
The recent advances in VLSI technology have facilitated feature shrinking
and hence a rapid increase in the levels of integration at the chip level. This increase
in the level of integration has brought along with it a host of other constraints, the
most crucial being timing management and increased power...
A Hybrid Meshnet LAN, a new local area network architecture, has been proposed by Dr. Cheoul-Shin Kang and Dr. James Herzog. It provides for distributed control hybrid architecture which is good for effective load sharing under various local area network environments. Hybrid Meshnet has a dual channel structure, a token...
The general problem of application development of interactive GUI applications has been addressed by toolkits, libraries, user interface management systems, and more recently domain-specific application frameworks. However, the most sophisticated solution offered by frameworks still lacks a number of features which are addressed by this research: 1) limited functionality --...
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...
An active object system is a transition-based object-oriented system suitable for the design of various concurrent systems. An AOS consists of a collection of interacting objects, where the behavior of each object is determined by the transition statements provided in the class of that object. A transition statement is a...
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)...
Relational database systems have successfully solved many
business data processing problems. The primary reason of this
success is that the relational data model provides a simple, yet
flexible view of data as tables. In studying VLSI/CAD data, we noticed
that they are often represented in formats similar to relational
tuples....
Many systematic methods exist for mapping algorithms to processor arrays. The algorithm is usually specified as a set of recurrence equations, and the processor arrays are synthesized by finding timing and allocation functions which transform index points in the recurrences into points in a space-time domain. The problem of scheduling...
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...
The Control-Oriented Local Area Network (COLAN) is a
distributed control system for a series of networked
microcontrollers, which has been under development at Oregon
State University since 1986. A reliable master controller, functioning
both as a task scheduler and as a network controller, is
required to allow users to perform...
Two new medium access protocols for ring type local area networks,
CTR (Concurrent Token Ring) protocol and DRUID (Destination Removal
withoUt Intermediate node Delay) ring protocol, are proposed, designed and
analyzed. A destination partial removal technique is designed and used in
these two protocols to support concurrent message transmission and...
This paper describes the design and implementation of
"A multiprocessor node for communication and control"
(MPCC). MPCC is a high speed, high performance local area
network capable of performing real time control tasks. This
is achieved by the concurrent operation of two 8051
microcontrollers, a dual port RAM and the...
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...