Social and Behavioral Sciences Commons^™

Modeling Geographic Population Dispersion Utilizing Geospatial Information System Environment Agents In An Agent Based Model, Karl D. Liebert

Computational Modeling & Simulation Engineering Theses & Dissertations

New capabilities in agent based model (ABM) environments are opening the door to the creation of ABM that may incorporate high-quality, real world environment data in the form of Geospatial Information System (GIS) files . In the past, GJS environments were only possible through extensive software development efforts focused on specific model applications.

This thesis explores the value and issues of using GIS data to provide an ABM environment. It examines the ability of ABM development environments (DE) to support GIS environment data. The selected ABM DE is then used to model population behavior in an environment defined by authoritative …

Developing A Repeatable And Reliable Methodology To Determine Return-On-Investment, Mark Cullen Nesselrode

Computational Modeling & Simulation Engineering Theses & Dissertations

The high costs of modern weapons systems, fuel, personnel, and increasing environmental awareness is forcing U.S. forces to rely on simulation for training. Further, the need to train in a robust and theater specific environment is critical to ensure operational readiness immediately upon reaching the combat theater. Finally, the rapidly changing nature of the conflicts, crises, or contingencies in which U.S. forces are involved requires a new approach to training.

The purpose of this research is to develop and demonstrate the feasibility of a methodology that can provide a reliable, consistent method for determining ROI in various forms, focusing on …

Seasonal Adaptation Of Vegetation Color In Satellite Images, Srinivas Jakkula, Vamsi K.R. Mantena, Ramu Pedada, Yuzhong Shen, Jiang Li, Hamid R. Arabnia (Ed.)

Electrical & Computer Engineering Faculty Publications

Remote sensing techniques like NDVI (Normal Difference vegetative Index) when applied to phenological variations in aerial images, ascertained the seasonal rise and decline of photosynthetic activity in different seasons, resulting in different color tones of vegetation. The rise and fall of NDVI values decide the biological response, either the green up or brown down [1]. Vegetation in green up period appears with more vegetative vigor and during brown down period it has a dry appearance. This paper proposes a novel method that identifies vegetative patterns in satellite images and then alters vegetation color to simulate seasonal changes based on training …

Vegetation Identification Based On Satellite Imagery, Vamsi K.R. Mantena, Ramu Pedada, Srinivas Jakkula, Yuzhong Shen, Jiang Li, Hamid R. Arabnia (Ed.)

Electrical & Computer Engineering Faculty Publications

Automatic vegetation identification plays an important role in many applications including remote sensing and high performance flight simulations. This paper presents a method to automatically identify vegetation based upon satellite imagery. First, we utilize the ISODATA algorithm to cluster pixels in the images where the number of clusters is determined by the algorithm. We then apply morphological operations to the clustered images to smooth the boundaries between clusters and to fill holes inside clusters. After that, we compute six features for each cluster. These six features then go through a feature selection algorithm and three of them are determined to …

Differences In The Performance Of Knowledge Transfer Across Projects: A Study Of Gender And Role Of Key Project Stakeholders, Rafael E. Landaeta, Catherine Vergopia, Rey N. Diaz

Engineering Management & Systems Engineering Faculty Publications

This investigation contributes empirical results of differences identified in key project stakeholders with respect to their use of knowledge transferred across projects. Gender and role were the two individual characteristics investigated. Project managers and members of project teams were the key stakeholders analyzed. Data was collected from 71 closed projects using a survey composed of closed-ended questions. The data collected was cross tabulated and statistically analyzed using Friedman's test and Spearman's correlation. The results provide evidence of the association of the performance of knowledge transfer across projects with (a) the individual factors of gender and role of key project stakeholders …

Effects Of Leader Relationship Quality (Lmx), Supervisor Support, And Upward Influence In National Science Foundation Industry /University Cooperative Research Centers, Janet L. Bryant

Psychology Theses & Dissertations

The Industry/University Cooperative Research Center (I/UCRC) is a type of partnership between industries and universities supported by the National Science Foundation. These partnerships enable the transfer of leading-edge technology developed in universities to industrial firms. Leadership plays a powerful role in the success of these research partnerships by creating an environment that is conducive to innovation. Directors of I/UCRCs must be able to successfully lead upward, that is, develop and maintain strong relationships with the university administrators to whom they report, to obtain the necessary support to sustain the center and foster innovation. This study uses leader-member exchange (LMX) theory …