Doctoral Dissertations

Keywords and Phrases

CMOS architecture; Digital reasoning; Memory-based; Multi-valued; Quaternary


”This dissertation describes the application of a multi-level, memory-based approach for building digital circuits. To reflect the alternative approach, the basic science is termed digital reasoning and the specific CorMem technology is based on recent patents. CMOS transistors are used in a non-traditional way for multi-level operations and memory manipulation. The combination of multi-level architectures and matrix algebra principles can create flexible, modular systems using standard fabrication methods and can avoid many of the limitations of other multi-valued logic approaches.

Quaternary, memory-based systems are developed to implement logic-gate-type functions, digital adder circuits, a complete arithmetic and logic unit (ALU), quaternary-to-binary and binary-to-quaternary circuits, and ALU control circuits. All of these implementations use driver and array architectures using CMOS TSMC 130 micron technology. The circuit layouts and functional simulations are given and are compared to binary circuits with comparable functionality. Experimental performance of a hardware AND chip is also demonstrated including excellent signal discrimination. The digital reasoning approach requires more chip area for basic logic gate functionality, but it grows increasingly efficient for more complex systems through hardware reuse. Potential quaternary advantages include fewer interconnections, lesser area requirements, and lower power consumption”--Abstract, page iii.


Watkins, Steve Eugene, 1960-

Committee Member(s)

Beetner, Daryl G.
Choi, Minsu
Sedigh, Sahra
Shi, Yiyu


Electrical and Computer Engineering

Degree Name

Ph. D. in Computer Engineering


Missouri University of Science and Technology

Publication Date

Spring 2015


ix, 96 pages

Note about bibliography

Includes bibliographic references (pages 92-95).


© 2015 Indira Priyadarshini Dugganapally, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Thesis Number

T 12009

Electronic OCLC #