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This project developed computer graphics to display spatial and statistical data in a functional, appropriate and articulate manner. The spatial data creates mapping of Orange County focusing on traffic zones. The graphs display statistical data projecting from spatial areas presented in a simple form. The graphs produced by the system are geared towards an audience involved with transportation and planning decisions for Orange County. The graphics employ population, income, number of dwelling units, trip generation and trip production data based upon the 1980 census. The population, income, and number of dwelling unites statistics include predictions for 1985 through 2005 in five-year increments. The trip generation and production data is divided into six categories. These groups of statistics were chosen owing to their effect on the transportation system and travel characteristics of Orange County. The two-dimensional graphs display only spatial data. The three-dimensional graphs permit examination of one data category projecting from a large spatial area or up to four data categories projecting from one small six mile square of Orange County. All graphs presented in a three-dimensional form can be rotated around two axes.

The goal of this paper is to develop an interactive training system. Although the system developed was used to train tank gunners, the system concepts are generic in that they can be applied to many training scenarios. Applications of computer-based training systems are briefly discussed. The system concepts are defined and hardware and software subsystems are outlined. An architectural overview will precede a detailed discussion of subsystems.

As modern industrial robots are used more in industry, the need for qualified programmers and operators will increase. Inexpensive robots are available for use as training systems, but these robots typically lack the high level tools, such as high level, languages and graphics simulators, that are available for the industrial robots. A high level programming language and a graphics simulator were developed for one of these training robots, the Heath ET-18 Hero Robot. The programs were designed to be executed on an IBM Personal Computer. The software was developed as part of an overall system which also includes a compiler and a program for downloading software to the Hero over a serial interface.

This thesis introduces a solution to the problem of time and memory space requirements associated with the manipulation/creation of solid state device layout. Through the use of a hierarchical organization of data and a tailored indexing technique, the software described here, referred to as Saw Draw, is capable of manipulating huge amounts of data in a short period of time. This program was written for surface acoustic wave (SAW) device layout but works for a broad range of devices to include semiconductors, microstrip and others. Due to the large number of details which must be stored for each SAW structure, simply displaying a typical SAW device can become exceedingly tedious. When an entire mask of devices is organized, disk storage requirements can become prohibitive. This software has been designed to minimize both of these critical problems. This work describes the capabilities, structure and special algorithms used in Saw Draw. Included is an example of how a SAW device might be created and a listing of the program code in the Appendix.

<p> In this paper, the authors explore different approaches to animating 3D facial emotions, some of which use manual keyframe facial animation and some of which use machine learning. To compare approaches the authors conducted an experiment consisting of side-by-side comparisons of animation clips generated by skeleton, blendshape, audio-driven, and vision-based capture techniques.</p> <p>Ninety-five participants viewed twenty face animation clips of characters expressing five distinct emotions (anger, sadness, happiness, fear, neutral), which were created using four different facial animation techniques. After viewing each clip, the participants were asked to score the naturalness on a 5-point Likert scale and to identify the emotions that the characters appeared to be conveying.</p> <p>Although the happy emotion clips differed slightly in the naturalness ratings, the naturalness scores of happy emotions produced by the four methods tended to be consistent. The naturalness ratings of the fear emotion created with skeletal animation were higher than other methods.Recognition of sad and neutral were very low for all methods as compared to other emotions. Findings also showed that a few people participants were able to identify the clips that were machine generated rather than created by a human artist.The means, boxplots and HSD revealed that the skeleton approach had significantly higher ratings for naturalness and higher recognition rate than the other methods.</p>

Computer graphics is a field whose time has come. In the past, it was an esoteric specialty involving expensive display hardware and idiosyncratic software. Recently, hardware has become more readily available, and efforts have been made to develop graphics software standards, which help make graphics programming rational and straightforward. The Graphical Kernel System (GKS) is rapidly gaining acceptance as a worldwide standard for computer graphics. The International Standards Organization (ISO) is in the final stages of converting GKS from its current status as a Draft International Standard (DIS) to an International Standard. This report presents an overview of GKS and also discusses a subroutine library, that has been developed for use at McMaster University and is equivalent to ”0a" GKS (the lowest level of GKS). This library, called GKSLIB, is written in FORTRAN 77, and could be used by a programmer to support a wide range of two-dimensional, passive graphics applications. / Thesis / Master of Science (MS)