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Articles 661 - 690 of 1284

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Synthesis, Interdiction, And Protection Of Layered Networks, Kevin T. Kennedy Sep 2009

Synthesis, Interdiction, And Protection Of Layered Networks, Kevin T. Kennedy

Theses and Dissertations

This research developed the foundation, theory, and framework for a set of analysis techniques to assist decision makers in analyzing questions regarding the synthesis, interdiction, and protection of infrastructure networks. This includes extension of traditional network interdiction to directly model nodal interdiction; new techniques to identify potential targets in social networks based on extensions of shortest path network interdiction; extension of traditional network interdiction to include layered network formulations; and develops models/techniques to design robust layered networks while considering trade-offs with cost. These approaches identify the maximum protection/disruption possible across layered networks with limited resources, find the most robust layered …

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Determining The Orbit Locations Of Turkish Airborne Early Warning And Control Aircraft Over The Turkish Air Space, Nebi Sarikaya Mar 2009

Determining The Orbit Locations Of Turkish Airborne Early Warning And Control Aircraft Over The Turkish Air Space, Nebi Sarikaya

Theses and Dissertations

The technology improvement affects the military needs of individual countries. The new doctrine of defense for many countries emphasizes detecting threats as far away as you can from your homeland. Today, the military uses both ground RADAR and Airborne Early Warning and Control (AEW&C) Aircraft. AEW&C aircraft has become vital to detect low altitude threats that a ground RADAR cannot detect because of obstacles on the earth. Turkey has ordered four AEW&C aircraft for her air defense system because of the lack of complete coverage by ground RADAR. This research provides optimal orbit locations that can be updated according to …

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Developing A Tool For The Location Optimization Of The Alert Aircraft With Changing Threat Anticipation, Okan Arslan Mar 2009

Developing A Tool For The Location Optimization Of The Alert Aircraft With Changing Threat Anticipation, Okan Arslan

Theses and Dissertations

The threat to the airspace is posed by the outside world in conventional terms as well as hostilities from within the airspace such as hijacked aircraft. Alert aircraft are located with the sole responsibility of responding to any incident. Different regions of the airspace may have different alert states depending on current intelligence input. Due to non-constant states of threat level, the Turkish Air Force must deploy aircraft to cover the more sensitive regions with a greater number of aircraft with a relatively short response time. This research deals with the problem by developing a tool for the location optimization …

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Application Of Reliability And Linear Regression To Enterprise Architecture In Support Of The Us Air Force's Capability Review And Risk Assessment, Peter C. Mastro, Richard L. Orcutt Mar 2009

Application Of Reliability And Linear Regression To Enterprise Architecture In Support Of The Us Air Force's Capability Review And Risk Assessment, Peter C. Mastro, Richard L. Orcutt

Theses and Dissertations

This research explored the use of modeling and enterprise architecture in the analysis of Air Force Capabilities. The Air Force accomplishes this through the Capability Review and Risk Assessment (CRRA). The CRRA is currently performed by building architectures which contain Process Sequence Models (PSMs). PSMs are scored by Subject Matter Experts to determine the probability of successfully completing the mission they model and ultimately to determine the risk associated to Air Force capabilities. Two findings were identified. The first is that creating additional architectural viewpoints, some of which are currently being proposed for version 2.0 of the DoD Architecture Framework, …

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A Tailored Systems Engineering Framework For Science And Technology Projects, Stephen M. Behm, J. Bradford Pitzer, Jane F. White Mar 2009

A Tailored Systems Engineering Framework For Science And Technology Projects, Stephen M. Behm, J. Bradford Pitzer, Jane F. White

Theses and Dissertations

As government and industry becomes subject to a wider range of technology initiatives, science and technology (S&T) research project leadership recognizes the need to incorporate more systems engineering (SE) rigor into their projects. The objective of this research is to develop a tailorable systems engineering framework for S&T project planning, execution, assessment and transition. The key deliverable is an Excel-based tool instantiating the SE framework for a wide range of S&T projects in technology development organizations. It includes a report with tailored methods based on programmatic discriminants.
To develop this framework, a comprehensive understanding of SE principles is applied to …

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Adaptive Pareto Set Estimation For Stochastic Mixed Variable Design Problems, Christopher D. Arendt Mar 2009

Adaptive Pareto Set Estimation For Stochastic Mixed Variable Design Problems, Christopher D. Arendt

Theses and Dissertations

Many design problems require the optimization of competing objective functions that may be too complicated to solve analytically. These problems are often modeled in a simulation environment where static input may result in dynamic (stochastic) responses to the various objective functions. System reliability, alloy composition, algorithm parameter selection, and structural design optimization are classes of problems that often exhibit such complex and stochastic properties. Since the physical testing and experimentation of new designs can be prohibitively expensive, engineers need adequate predictions concerning the viability of various designs in order to minimize wasteful testing. Presumably, an appropriate stochastic multi-objective optimizer can …

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Exploitation Of Intra-Spectral Band Correlation For Rapid Feacture Selection And Target Identification In Hyperspectral Imagery, Michael K. Miller Mar 2009

Exploitation Of Intra-Spectral Band Correlation For Rapid Feacture Selection And Target Identification In Hyperspectral Imagery, Michael K. Miller

Theses and Dissertations

This research extends the work produced by Capt. Robert Johnson for detecting target pixels within hyperspectral imagery (HSI). The methodology replaces Principle Components Analysis for dimensionality reduction with a clustering algorithm which seeks to associate spectral rather than spatial dimensions. By seeking similar spectral dimensions, the assumption of no a priori knowledge of the relationship between clustered members can be eliminated and clusters are formed by seeking high correlated adjacent spectral bands. Following dimensionality reduction Independent Components Analysis (ICA) is used to perform feature extraction. Kurtosis and Potential Target Fraction are added to Maximum Component Score and Potential Target Signal …

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Using Multiple Robust Parameter Design Techniques To Improve Hyperspectral Anomaly Detection Algorithm Performance, Matthew T. Davis Mar 2009

Using Multiple Robust Parameter Design Techniques To Improve Hyperspectral Anomaly Detection Algorithm Performance, Matthew T. Davis

Theses and Dissertations

Detecting and identifying objects of interest is the goal of all remote sensing. New advances, specifically in hyperspectral imaging technology have provided the analyst with immense amounts of data requiring evaluation. Several filtering techniques or anomaly detection algorithms have been proposed. However, most new algorithms are insufficiently verified to be robust to the broad range of hyperspectral data being made available. One such algorithm, AutoGAD, is tested here via two separate robust parameter design techniques to determine optimal parameters for consistent performance on a range of data with large attribute variances. Additionally, the results of the two techniques are compared …

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Project Scheduling To Maximize Positive Impacts Of Reconstruction Operations, Andrew D. Chaney Mar 2009

Project Scheduling To Maximize Positive Impacts Of Reconstruction Operations, Andrew D. Chaney

Theses and Dissertations

Since the decline of the Cold War, the risk of major conflict between powerful industrialized nations has significantly decreased. Insecurity in the twenty-first century is forecast to arise rather from the debris of imploding states. Such situations may require intervention | military or otherwise | by concerned states, and the frequency with which these interventions occur is increasing. To meet this new operational challenge, the US military must adapt its planning procedures to account for Security, Stabilization, Transition, and Reconstruction Operations (SSTRO). This research develops a project scheduling based framework for post-conflict reconstruction that prioritizes and schedules reconstruction activities in …

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An Advanced Tabu Search Approach To Solving The Mixed Payload Airlift Load Planning Problem, Robert Larry Nance Mar 2009

An Advanced Tabu Search Approach To Solving The Mixed Payload Airlift Load Planning Problem, Robert Larry Nance

Theses and Dissertations

This paper presents a new tabu search based two-dimensional bin packing algorithm which produces high quality solutions to the Mixed Payload Airlift Load Planning (MPALP) problem using C-5 and C-17 aircraft. This algorithm, called Mixed Payload Airlift Load Planning Tabu Search (MPALPTS), surpasses previous research conducted in this area because, in addition to pure pallet cargo loads, MPALPTS can accommodate rolling stock cargo (i.e. tanks, trucks, HMMMVs, etc.) while still maintaining aircraft feasibility with respect to aircraft center of balance, mandatory cargo separations, aircraft floor structural limitations, etc. Furthermore, while this research is currently restricted to C-5 and C-17 aircraft, …

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Host-Based Multivariate Statistical Computer Operating Process Anomaly Intrusion Detection System (Paids), Glen R. Shilland Mar 2009

Host-Based Multivariate Statistical Computer Operating Process Anomaly Intrusion Detection System (Paids), Glen R. Shilland

Theses and Dissertations

No abstract provided.

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Value-Driven Enterprise Architecture Score: Evaluation Applied To Joint Force Protection Future State Design, Larry D. Cotton, Gary A. Haase Mar 2009

Value-Driven Enterprise Architecture Score: Evaluation Applied To Joint Force Protection Future State Design, Larry D. Cotton, Gary A. Haase

Theses and Dissertations

This research presents a methodology to evaluate the quality of a system's architecture using principles drawn from Value-Focused Thinking (VFT) and resulting in a Value-Driven Enterprise Architecture Score (VDEA-Score). This is an overall numerical architecture quality score useful to a system's management team to identify the advantages and disadvantages of a system design and associated architecture documentation or to track its quality across discrete evaluation epochs. This effort determined which aspects of the architecture are most valuable to the stakeholder in the areas of (1) the system effectiveness values (quality of the instantiated system being represented and its ability to …

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A Hybrid Templated-Based Composite Classification System, Michael A. Turnbaugh Mar 2009

A Hybrid Templated-Based Composite Classification System, Michael A. Turnbaugh

Theses and Dissertations

An automatic target classification system contains a classifier which reads a feature as an input and outputs a class label. Typically, the feature is a vector of real numbers. Other features can be non-numeric, such as a string of symbols or alphabets. One method of improving the performance of an automatic classification system is through combining two or more independent classifiers that are complementary in nature. Complementary classifiers are observed by finding an optimal method for partitioning the problem space. For example, the individual classifiers may operate to identify specific objects. Another method may be to use classifiers that operate …

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The Hybrid Counterinsurgency Strategy: System Dynamics Employed To Develop A Behavioral Model Of Joint Strategy, Ferdinand Maldonado Mar 2009

The Hybrid Counterinsurgency Strategy: System Dynamics Employed To Develop A Behavioral Model Of Joint Strategy, Ferdinand Maldonado

Theses and Dissertations

Since the recent focus on the Global War on Terror, both military and civilian theorists have begun to “relearn” the intricacies of counterinsurgency warfare. We face difficult challenges when confronting non-state actors that tend to attack in the time between conventional battles and the establishment of stable governments. This research compares and contrasts current counterinsurgency strategies (Hearts and Minds and Cost Benefit Theory) by applying System Dynamics to provide insight into the influences and emergent behavior patterns of counterinsurgency systems. The information gained from the development of the models and from their simulation behaviors is used to construct a System …

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Combat Identification Modeling Using Neural Network Techniques, Changwook Lim Mar 2009

Combat Identification Modeling Using Neural Network Techniques, Changwook Lim

Theses and Dissertations

The purposes of this research were: (1) validating Kim’s (2007) simulation method by applying analytic methods and (2) comparing the two different Robust Parameter Design methods with three measures of performance (label accuracy for enemy, friendly, and clutter). Considering the features of CID, input variables were defined as two controllable (threshold combination of detector and classifier) and three uncontrollable (map size, number of enemies and friendly). The first set of experiments considers Kim’s method using analytical methods. In order to create response variables, Kim’s method uses Monte Carlo simulation. The output results showed no difference between simulation and the analytic …

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Combat Identification Using Multiple Tuav Swarm, Younin Kang Sep 2008

Combat Identification Using Multiple Tuav Swarm, Younin Kang

Theses and Dissertations

In modern warfare, Tactical Unmanned Aerial Vehicles (TUAVs) are rapidly taking on a leading role in traditional and non-traditional ISR, to include Automatic Target Recognition (ATR). However, additional advancements in processors and sensors on TUAVs are still needed before they can be widely employed as a primary source for positive identification in the Combat Identification (CID) process. Cost is a driving factor for operating an ATR system using multiple TUAVs. The cost of high quality sensors appropriate for a single TUAV can be significantly higher than less sophisticated sensors suitable for deployment on a group, or swarm, of coordinated TUAVs. …

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A Confidence Paradigm For Classification Systems, Nathan J. Leap Sep 2008

A Confidence Paradigm For Classification Systems, Nathan J. Leap

Theses and Dissertations

There is no universally accepted methodology to determine how much confidence one should have in a classifier output. This research proposes a framework to determine the level of confidence in an indication from a classifier system where the output is or can be transformed into a posterior probability estimate. This is a theoretical framework that attempts to unite the viewpoints of the classification system developer (or engineer) and the classification system user (or war-fighter). The paradigm is based on the assumptions that the system confidence acts like, or can be modeled as a value and that indication confidence can be …

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Interoperability Measurement, Thomas C. Ford Aug 2008

Interoperability Measurement, Thomas C. Ford

Theses and Dissertations

This research presents an inaugural general method of measuring the collaborative and confrontational interoperability of a heterogeneous set of systems in the context of an operational process. The method is holistic, fundamental, flexible, and mathematical in nature and accommodates all types of systems and interoperations. The method relates the interoperability measurement to measures of operational effectiveness for confrontational operational processes. Extant leveling methods of describing interoperability are shown to be a special case of the more general method given in this research and the general interoperability measurement method is demonstrated through the presentation of coalition interoperability, suppression of enemy air …

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Metamodeling Techniques To Aid In The Aggregation Process Of Large Hierarchical Simulation Models, June F. D. Rodriguez Aug 2008

Metamodeling Techniques To Aid In The Aggregation Process Of Large Hierarchical Simulation Models, June F. D. Rodriguez

Theses and Dissertations

This research investigates how aggregation is currently conducted for simulation of large systems. The purpose is to examine how to achieve suitable aggregation in the simulation of large systems. More specifically, investigating how to accurately aggregate hierarchical lower-level (higher resolution) models into the next higher-level in order to reduce the complexity of the overall simulation model. The focus is on the exploration of the different aggregation techniques for hierarchical lower-level (higher resolution) models into the next higher-level. We develop aggregation procedures between two simulation levels (e.g., aggregation of engagement level models into a mission level model) to address how much …

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Developing A Decision Model For Joint Improvised Explosive Device Defeat Organization (Jieddo) Proposal Selection, Lyle M. Dawley, Lenore A. Marentee, Alice Marie Long Jun 2008

Developing A Decision Model For Joint Improvised Explosive Device Defeat Organization (Jieddo) Proposal Selection, Lyle M. Dawley, Lenore A. Marentee, Alice Marie Long

Theses and Dissertations

This research uses decision analysis to develop a structured, repeatable and most importantly defensible decision model for the evaluation of proposed IED defeat solutions submitted to the Joint IED Defeat Organization (JIEDDO). Additive value models using Value-Focused Thinking (VFT) and the Analytic Hierarchy Process (AHP) are examined as possible methodologies. VFT is determined to be the "best fit" for JIEDDO's decision situation in which proposals are submitted continuously and must be scored independently of previous proposals. VFT is first used to determine desirable qualities in IED defeat options, and then to generate a hierarchal value model to evaluate these qualities …

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Forecasting Flying Hour Costs Of The B-1, B-2, And B-52 Bomber Aircraft, Stefanie L. Van Dyk Jun 2008

Forecasting Flying Hour Costs Of The B-1, B-2, And B-52 Bomber Aircraft, Stefanie L. Van Dyk

Theses and Dissertations

This thesis both evaluates, and presents improvements to, the current method of forecasting flying costs of Air Force aircraft. It uses depot level repairable (DLR) and consumable (CONS) data for the Air Force's bomber platforms: B-1B, B-2, and B-52H. The current forecasting method assumes a proportional relationship between costs and flying hours such that 1) when no hours are flown costs are zero, and 2) a 1% increase in flying hours will increase costs by 1%. The findings of this research indicate that applying log-linear ordinary least squares regression techniques may be an improved fit of flying cost data over …

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Analyzing Individual Decision Making Versus Group Decision Making For Alternative Selection, Alper Gezeravci Jun 2008

Analyzing Individual Decision Making Versus Group Decision Making For Alternative Selection, Alper Gezeravci

Theses and Dissertations

Many "real world" decisions are made by groups. It is rare that the responsi- bility for a very important decision is given to a single decision maker with complete authority. Group decision making adds both advantages to the process as well as disadvantages. This research examines the question: "Are decisions made by groups really that much different from the decisions made by individuals in the group?" A specific case study involving the selection of the best primary training aircraft type for military pilot training is used to examine this question. Fifteen military pilots with various backgrounds and experience levels participate …

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Operationally Responsive Space (Ors): An Architecture And Enterprise Model For Adaptive Integration, Test And Logistics, Jeff A. Alexander, Martha Charles-Vickers, Talbot L. Smith, Michael L. Vickers Jun 2008

Operationally Responsive Space (Ors): An Architecture And Enterprise Model For Adaptive Integration, Test And Logistics, Jeff A. Alexander, Martha Charles-Vickers, Talbot L. Smith, Michael L. Vickers

Theses and Dissertations

The capability to rapidly deploy tactical satellites to meet a Joint Force Commander's immediate battlespace requirements is a well-documented joint capability need. Key U.S. strategic documentation cites the need for the capability to maintain persistent surveillance or an "unblinking eye" over battlespace and to rapidly reconstitute critical space capabilities to preserve situational awareness. The warfighter requires a tactical space-based deployment capability which employs a request to launch and operational deployment window of 90 to 120 days. This master's thesis executed two (2) major areas of work: apply, and reinforce the Operationally Responsive Space (ORS) mission tasks using the Joint Capabilities …

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Multi-Objective Optimization Of Mixed-Variable, Stochastic Systems Using Single-Objective Formulations, Todd J. Paciencia Mar 2008

Multi-Objective Optimization Of Mixed-Variable, Stochastic Systems Using Single-Objective Formulations, Todd J. Paciencia

Theses and Dissertations

Many problems exist where one desires to optimize systems with multiple, often competing, objectives. Further, these problems may not have a closed form representation, and may also have stochastic responses. Recently, a method expanded mixed variable generalized pattern search/ranking and selection (MVPS-RS) and Mesh Adaptive Direct Search (MADS) developed for single-objective, stochastic problems to the multi-objective case by using aspiration and reservation levels. However, the success of this method in approximating the true Pareto solution set can be dependent upon several factors. These factors include the experimental design and ranges of the aspiration and reservation levels, and the approximation quality …

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Improved Feature Extraction, Feature Selection, And Identification Techniques That Create A Fast Unsupervised Hyperspectral Target Detection Algorithm, Robert J. Johnson Mar 2008

Improved Feature Extraction, Feature Selection, And Identification Techniques That Create A Fast Unsupervised Hyperspectral Target Detection Algorithm, Robert J. Johnson

Theses and Dissertations

This research extends the emerging field of hyperspectral image (HSI) target detectors that assume a global linear mixture model (LMM) of HSI and employ independent component analysis (ICA) to unmix HSI images. Via new techniques to fully automate feature extraction, feature selection, and target pixel identification, an autonomous global anomaly detector, AutoGAD, has been developed for potential employment in an operational environment for real-time processing of HSI targets. For dimensionality reduction (initial feature extraction prior to ICA), a geometric solution that effectively approximates the number of distinct spectral signals is presented. The solution is based on the theory of the …

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A System Dynamic Model Of Leader Emergence, Paul S. Wever Mar 2008

A System Dynamic Model Of Leader Emergence, Paul S. Wever

Theses and Dissertations

The purpose of this thesis is to develop a system dynamics model of leader emergence. Longitudinal social network and personality data were collected in a class of enlisted military professionals attending a 6-week leadership development course. Findings support known relationships in existing leadership research. The thesis demonstrates the applicability of system dynamics toward the complex social phenomena of leader emergence.

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Improving Mixed Variable Optimization Of Computational And Model Parameters Using Multiple Surrogate Functions, David Bethea Mar 2008

Improving Mixed Variable Optimization Of Computational And Model Parameters Using Multiple Surrogate Functions, David Bethea

Theses and Dissertations

This research focuses on reducing computational time in parameter optimization by using multiple surrogates and subprocess CPU times without compromising the quality of the results. This is motivated by applications that have objective functions with expensive computational times at high fidelity solutions. Applying, matching, and tuning optimization techniques at an algorithm level can reduce the time spent on unprofitable computations for parameter optimization. The objective is to recover known parameters of a flow property reference image by comparing to a template image that comes from a computational fluid dynamics simulation, followed by a numerical image registration and comparison process. Mixed …

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A Multi-Objective Linear Program Model To Test Hub-And-Spoke Networks As A Potential Air Force Deployment Alternative, Andrew J. Cullen Mar 2008

A Multi-Objective Linear Program Model To Test Hub-And-Spoke Networks As A Potential Air Force Deployment Alternative, Andrew J. Cullen

Theses and Dissertations

The purpose of this research is to develop a multiple-objective mixed-integer linear programming model that determines the feasibility of a new deployment paradigm, which offers greater flexibility to home station and deployed location civil engineers (CE) by applying hub-and-spoke networking. The research covers the histories of CE and Air and Space Expeditionary Force (AEF), current CE deployment needs, multiple-objective decision analysis, hub-and-spoke networking, and organizational behavior benefits of the new paradigm. The methodology section provides details on each objective, explains the model, defines weights, and explains the objective function’s calculation. Next, an analysis of the model’s resulting scenarios helps determine …

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Understanding The Emergence Of Disruptive Innovation In The Air Force Science And Technology Organizations, David E. Shahady Mar 2008

Understanding The Emergence Of Disruptive Innovation In The Air Force Science And Technology Organizations, David E. Shahady

Theses and Dissertations

Although innovation is widely discussed in both military and industry venues, many organizations continue to struggle with what it means to be creative as well as maintain a competitive advantage. The United States Air Force has specifically struggled with the balance between improving existing technologies and employing revolutionary technologies. The purpose of this thesis was to study the motivation, focus, barriers, and culture needed to foster disruptive innovation in Air Force Science and Technology (S&T) and to investigate how industry innovation strategies could improve breakthrough Air Force technology emergence. The Air Force Research Laboratory (AFRL), the primary organization responsible for …

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Simulation Of National Intelligence Process With Fusion, Joseph S. Lupa Mar 2008

Simulation Of National Intelligence Process With Fusion, Joseph S. Lupa

Theses and Dissertations

This work is a follow on effort of two previous Master's theses. The first was Modeling and Simulation of the Military Intelligence Process by Captain Carl Pawling in 2004. The other was A Knowledge Matrix Modeling of the Intelligence Cycle by Captain Kevin Whaley in 2005. Both of these were done to facilitate the study and analysis of the intelligence process for the National Security Space Organization (NSSO). Here, modifications are made the Pawling model to include tasking multiple intelligence sources for data collection to fulfill Requests for Information (RFIs) and fusing the collected data into one new piece of …

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