Thesis (M.S.) -- Central Connecticut State University, 2008. / Title from electronic title page of document. Special project advisor: Farid Farahmand. "A special project submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Information Technology, Department of Computer Science, Management Information Systems, and Industrial Technology." Includes bibliographical references.

Thesis (doctoral)--Universität Erlangen, 1929. / Includes bibliographical references (p. v-vi).

This study investigated character color changes on the current Oregon license plate in an attempt to rectify character recognition problems currently experienced with personalized license plates. Red-violet, brown, and purple were tested against the blue color currently used on the Oregon license plate's characters. Aesthetic-preference analyses were conducted to ensure that the potential character color changes maintained the appeal of the current plate. A standard recognition paradigm was used to test errors in letter recognition for the 4 colors. Fifty-four subjects with normal or corrected normal visual acuity and normal color vision were solicited from undergraduate psychology courses. All 54 volunteers participated in the first experiment which scaled preferences of the four character color alternatives using Thurstonian scaling. Fifty subjects were used in the second experiment which examined character recognition differences. The analyses focused on the center character of a 3- character string positioned with the central character on the green tree. Thurstonian scaling results indicated that the current blue character color was most preferred and brown was least preferred. ANOVA results found significant differences in character recognition between the four colors. The current blue color yielded the best character recognition, followed by red violet, purple and then brown. The findings were not congruent with Indow's (1988) study suggesting colors further removed from green on the color cognitive map should produce superior character recognition. A theoretical explanation of the results indicating that brightness differences, not hue, may have led to blue's superior performance is discussed.

University of Macau / Faculty of Science and Technology / Department of Computer and Information Science

Using license plates as a context, we will analyze patterns. I will share a technique for graphing, and you will design your own license plates with given parameters. Our graphs will offer entry into transformational geometry, and a mapping from letters to numbers allows us to experience early algebra in context.

Using license plates as a context, we will analyze patterns. I will share a technique for graphing, and you will design your own license plates with given parameters. Our graphs will offer entry into transformational geometry, and a mapping from letters to numbers allows us to experience early algebra in context.

Using license plates as a context, we will analyze patterns. I will share a technique for graphing, and you will design your own license plates with given parameters. Our graphs will offer entry into transformational geometry, and a mapping from letters to numbers allows us to experience early algebra in context.

Using license plates as a context, we will analyze patterns. I will share a technique for graphing, and you will design your own license plates with given parameters. Our graphs will offer entry into transformational geometry, and a mapping from letters to numbers allows us to experience early algebra in context.

Thesis (M.S.)--University of Nevada, Reno, 2006. / "May, 2006." Includes bibliographical references (leaves 94-99). Online version available on the World Wide Web.

Thesis (M.S.)--Ohio University, June, 1992. / Title from PDF t.p.