This paper presents the considerations that must be taken into account when formalizing a simulation model to determine the operational availability of a Navy training device. Consideration is given to those design and logistic support parameters that impact the general simulation model before it is formulated. These parameters, are then used as guidelines to collect and screen the data available for use in the general model. The general model is then translated into a computer simulation model. A specific training site is then chosen and data gathered to be used in the computer model. Design and logistic support parameters given consideration in this specific case were; component Mean-time-between-failures, repair capabilities (manual or automatic test equipment, and depot), spares provisioning, and repair or replacement times. The simulation model was then exercised by changing the provisioning on-site to determine its effect on the trainers operational availability. Of significant notice was the effects that provisioning had on manpower requirements in the area of maintenance.

Thesis (M.S. in Modeling, Virtual Environments and Simulations (MOVES))--Naval Postgraduate School, Sept. 2004. / Thesis Advisor(s): Rudy Darken. Includes bibliographical references (p. 77-79, 81). Also available online.

Motion coding in the brain undoubtedly reflects the statistics of retinal image motion occurring in the natural environment. Measuring the statistics of motion in natural scenes is an important tool for building our understanding of how the brain works. Unfortunately, there are statistics that are either impossible or prohibitively difficult to measure. For this reason, it is useful to measure scene statistics in artificial movies derived from simulated environments. This is a novel and important methodological approach that allows us to ask questions about optimal coding that are impossible otherwise. This dissertation describes a course of research that develops this research methodology, the simulated scene statistical approach. This dissertation applied the artificial scene statistical approach to understanding the visual statistics of motion during navigation through forest environments. An environmental model of forest scenes was developed based on previously measured range and surface texture statistics. Spatiotemporal power spectra were measured in both simulated and natural scenes for the task of first person motion through a forest environment. These image statistics measurements helped validate the environmental model. Next, the environmental model was used to simulate across-domain statistics to study the ideal aperture size of motion sensors. It was found that across a variety of different scene conditions, the optimal aperture size of motion sensors increases with the speed to which the sensor is tuned. This is an important constraint for understanding both how the brain encodes motion as well as for designing computer motion detectors. This theoretical research inspired a psychophysical experiment estimating the receptive-field size of human foveal motion discrimination. It was found that for narrow-band stimuli the ideal aperture size increases with spatial frequency, but is unchanging with respect to velocity or temporal frequency. This dissertation shows an approach to the study of vision that has applications in psychophysics, neuroscience and computer vision. The emphasis on accurate and validated environmental models for simulating scene statistics can help improve our understanding of the structure and function of the human visual system and also help us build more accurate and robust computer vision systems. / text

Thesis (Ph. D.)--Texas State University-San Marcos, 2007. / Vita. Appendices: leaves 101-117. Includes bibliographical references (leaves 5-7, 33-36, 65-66, 95-98).

Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--Texas State University-San Marcos, 2007. / Vita. Appendices: leaves 101-117. Includes bibliographical references (leaves 5-7, 33-36, 65-66, 95-98).

No description available.

An overview of a flight simulation system is presented with a discussion of the system components and the interaction between functional units. The functions of each unit in the visual system are described. Specifically, the projectile subsystem portion of the visual system is presented in detail. A projectile subsystem executive structure is presented with capability of controlling projectile activation and deletion. Mathematical models for missiles with linear projected impact and proportional guidance are discussed. Ballistic projectile models with and without wind and drag considerations are developed. The mathematical equations for position and attitude calculations are given. Design considerations and implementation of algorithms are also presented with other system design trade-offs.

There is a great need for a graphic simulation system used as a training device to take the place of actual flying. A good system will greatly reduce the cost of training men as well as cut down on casualties. Several systems have been tried and are now in use. Among them are two that are worthy of more study. These are the CCTV or model board and the digital systems. Both have several disadvantages that create a need for a new system. One such system is an optically based digitally processes system that combines the best features of two previous systems. This system uses charge-coupled-device memories that are digitally accessed by a microcomputer based system. The information from the CCD's is then processed and calculations are performed on it to transform it into a form that can be displayed on a cockpit-like screen. The system also allows for interaction between the pilot and itself.

Thesis PlanB (M.S.)--University of Wisconsin--Stout, 2007. / Includes bibliographical references.