Digitized by Kansas Correctional Industries / Department: Computer Science.

Thesis (Ph. D.)--Massachusetts Institute of Technology, Alfred P. Sloan School of Management, 1975. / "February 1975." Vita. / Bibliography: leaves 240-246. / by Ashok Malhotra. / Ph.D.

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Database and database technology are having a major impact on the growing use of computers. The rising popularity of database systems for the management of data has resulted in an increasing number of systems. As the number grows, the difficulty in choosing the system which will best meet the requirements of a particular application also increases. Knowing how to choose the correct one for a given application is important.The purpose of this thesis is to compare two very commonly used Database Management Systems (ORACLE and RDB) at Ball State University by describing and listing the advantages of each of them as well as their weaknesses, giving a comprehensive study of their performances, user friendliness, limits, and to aid users and managers in obtaining a deeper knowledge of these two systems. / Department of Computer Science

Databases and database technology are having a major impact on the growing use of computers. It is fair to say that databases are playing a critical role in almost all areas where computers are used, including business, engineering, medicine, law, education, and library science, to name a few.At Ball State University, databases are very widely used among faculty, staff, and students. The common commercial database management system (DBMS) used in the university is ORACLE. Due to the extensive use of the system and the availability and easy access to alternative systems such as RDB/VMS, a comparative research is in order.This thesis is a comprehensive comparison between the two systems. It covers the differences in design, SQL codings, and the use of host programming language such as FORTRAN. It concentrates on the differences in memory usage, execution time, as well as the CPU time needed to precompile, link, and run. / Department of Computer Science

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An expert system for dairy herd reproductive management for microcomputer was developed using an expert system shell and Turbo Pascal. A dairy extension reproductive specialist provided information for the system and empirical support was provided by research. The expert system initially examines days open, days to first insemination, percent of possible estruses observed, and number of breedings per conception to determine whether a problem exists. Interpretations ranging from “excellent” to “severe” were established for each parameter. “Excellent” and “adequate” interpretations correspond to a 12 to 13 mo calving interval. The system then selects for evaluation one of three areas that influences days open; days to first insemination, efficiency of detection of estrus, or conception percentage. Once an area has been selected for further evaluation, the expert system utilizes information from the user and from DHIA reproductive management reports developed by the Dairy Records Processing Center in Raleigh, NC. The reproductive reports are captured in a computer file and read by the expert system to identify problems of conception categorized by production, parity, service, days in milk, breed, and service sire. In addition, questions are asked by the expert system to isolate problems in data accuracy, semen handling, AI technique, detection of estrus, signs of estrus, and other management areas. Recommendations and suggestions are given. The expert system was designed to be used by extension personnel who may not have extensive knowledge of computers or reproductive management. The compiled program runs on an IBM compatible personal computer with 640K memory. Ten Virginia DHIA herds with conception problems were evaluated by the expert system and the extension specialist. Of 100 potential problem areas, the expert system and extension specialist identified 47, agreeing on 85% of them. Most discrepancies resulted from the expert applying a more restrictive standard when values were close to a preselected threshold. / Master of Science