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Articles 1 - 9 of 9
Full-Text Articles in Engineering
Decision Analysis With Value Focused Thinking As A Methodology To Assess Air Force Officer Retention Alternatives, Sang-Ho Moon
Decision Analysis With Value Focused Thinking As A Methodology To Assess Air Force Officer Retention Alternatives, Sang-Ho Moon
Theses and Dissertations
Many countries realize the importance of the retention of qualified military personnel, and have tried to solve this problem using various methods. Nevertheless, the effects of those methods have not been determined or proven yet. The military retention problem is closely related to each individual's separation decision from the military. The characteristics of this decision are multi-objective and highly subjective. Accordingly, the effectiveness of various methods is heavily dependant on the value set of each individual. Decision Analysis (DA) using Value Focused Thinking (VFT) can be an excellent process to deal with this decision. Also, the data can reflect the …
Agent Based Simulation Seas Evaluation Of Dodaf Architecture, Gregory V. Destefano
Agent Based Simulation Seas Evaluation Of Dodaf Architecture, Gregory V. Destefano
Theses and Dissertations
With Department of Defense (DoD) weapon systems being deeply rooted in the command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) structure, it is necessary for combat models to capture C4ISR effects in order to properly assess military worth. Unlike many DoD legacy combat models, the agent based model System Effectiveness and Analysis Simulation (SEAS) is identified as having C4ISR analysis capabilities. In lieu of requirements for all new DoD C4ISR weapon systems to be placed within a DoD Architectural Framework (DoDAF), investigation of means to export data from the Framework to the combat model SEAS began. Through operational, system, …
Modeling And Analysis Of Post-Conflict Reconstruction, Damon B. Richardson
Modeling And Analysis Of Post-Conflict Reconstruction, Damon B. Richardson
Theses and Dissertations
The forces at play in reconstruction operations are a complex system of time phased interlocking cause and effect relationships that are not thoroughly understood. A model capable of capturing the general dynamics involved in post-conflict reconstruction would provide insight to decision makers regarding potential policy alternatives. This research effort demonstrates the viability of using systems dynamics modeling techniques to simulate the establishment of public order and safety in a post-conflict reconstruction operation (Phase IV operations). A high level generic framework is developed that can be used as a general template for modeling post-conflict reconstruction. It is then demonstrated with a …
Modeling And Simulation Of The Military Intelligence Process, Carl R. Pawling
Modeling And Simulation Of The Military Intelligence Process, Carl R. Pawling
Theses and Dissertations
There is concern within U.S. space and intelligence organizations that the current Tasking, Processing, Exploitation, and Dissemination processes may be insufficient to support current and future Intelligence, Surveillance, and Reconnaissance systems. As part of a larger intelligence process, more detailed analysis becomes critical to determine what portions need to be improved. This analysis can be accomplished by simulation, which is appropriate due to the complexity of the process and the ability to compare variations in the process. We construct a high level model of a generalized military intelligence process based in part on the Intelligence Cycle outlined in Joint Publications. …
Value-Focused Thinking In The Presence Of Weight Ambiguity: A Solution Technique Using Monte Carlo Simulation, Timothy W. Porter
Value-Focused Thinking In The Presence Of Weight Ambiguity: A Solution Technique Using Monte Carlo Simulation, Timothy W. Porter
Theses and Dissertations
When a Decision Maker is asked to provide his or her preferences, the response represents a snapshot in time. While their preference structure elicited at any given moment may represent their revealed preferences at that point in time, it may change over time. These changing preferences over time represent ambiguity in the decision maker's preferences. Other sources of ambiguity may exist. One weakness of many decision analysis techniques today is the inability to incorporate ambiguity into the basic decision model. The existence of the problem has been known and commented on for many years. This research addresses that problem. It …
Effects Of Uncertainty On Real World Aerospace Mission Data, Steven J. Barosko
Effects Of Uncertainty On Real World Aerospace Mission Data, Steven J. Barosko
Theses and Dissertations
Uncertainty is an age old element of warfare. How does one measure success or failure on the battlefield? This thesis explores the effect of uncertainty on real world aerospace mission data from Operation Iraqi Freedom (OIF). Sources of uncertainty are identified during data preparation and the effects of uncertainty are investigated using multivariate analysis techniques. Two distinct cases are analyzed: one case with a low level of uncertainty in predicting whether or not a mission is pre-planned or alert generated, and another case with a high level of uncertainty in predicting whether or not a mission is a success or …
An Investigation Of The Optimal Sensor Ensemble For Sensor Fusion, Paul P. Clemans
An Investigation Of The Optimal Sensor Ensemble For Sensor Fusion, Paul P. Clemans
Theses and Dissertations
This thesis continues the research begun by Storm, Bauer and Oxley in 2003 into the fusion of classifiers. It examines the fusion of up to three correlated classifiers using three different fusion techniques. The overall objective was to determine the optimal ensemble of classifiers to maximize the expected classification accuracy. The ISOC fusion method (Haspert, 2000), the ROC Within fusion method (Oxley and Bauer, 2002) and a Probabilistic Neural Network were the three fusion techniques employed in these set of experiments. Performance of the classifiers and the fusion methods is measured via ROC curves. Two possible configurations of feature correlations …
Age Replacement And Service Rate Control Of Stochastically Degrading Queues, Patrick S. Chapin
Age Replacement And Service Rate Control Of Stochastically Degrading Queues, Patrick S. Chapin
Theses and Dissertations
This thesis considers the problem of optimally selecting a periodic replacement time for a multiserver queueing system in which each server is subject to degradation as a function of the mean service rate and a stochastic and dynamic environment. Also considered is the problem of optimal service rate selection for such a system. In both cases, the performance metric is the long-run average cost rate. Analytical expressions are obtained, in terms of Laplace transforms, for the nonlinear objective functions, necessitating the use of numerical Laplace transform inversion to evaluate candidate solutions in conjunction with standard numerical algorithms. Due to the …
An Investigation Of The Effects Of Correlation, Autocorrelation, And Sample Size In Classifier Fusion, Nathan J. Leap
An Investigation Of The Effects Of Correlation, Autocorrelation, And Sample Size In Classifier Fusion, Nathan J. Leap
Theses and Dissertations
This thesis extends the research found in Storm, Bauer, and Oxley, 2003. Data correlation effects and sample size effects on three classifier fusion techniques and one data fusion technique were investigated. Identification System Operating Characteristic Fusion (Haspert, 2000), the Receiver Operating Characteristic Within Fusion method (Oxley and Bauer, 2002), and a Probabilistic Neural Network were the three classifier fusion techniques; a Generalized Regression Neural Network was the data fusion technique. Correlation was injected into the data set both within a feature set (autocorrelation) and across feature sets for a variety of classification problems, and sample size was varied throughout. Total …