Defensive Counterair For Air Base Air Defense Using Directed Energy And Kinetic Energy Weapons,
2021
Air Force Institute of Technology
Defensive Counterair For Air Base Air Defense Using Directed Energy And Kinetic Energy Weapons, Andrew S. Wilson
Theses and Dissertations
Air bases in key locations provide a strategic advantage to the countries that access them, and are at constant threat from adversaries. This research seeks to determine the optimal maneuvering of a fixed number of fighter aircraft in a combat air patrol for defensive counterair to maximally and effectively attrit the inbound cruise missile threat to a stationary high value asset such as an air base. The problem formulation identifies multiple objectives for the model: minimize the distance traveled for the fighters, minimize the time utilized to engage the incoming cruise missiles, and maximize the number of cruise missiles destroyed. …
Guidance For Building Motivation In Space Operator Training,
2021
Air Force Institute of Technology
Guidance For Building Motivation In Space Operator Training, Foster E. Davis
Theses and Dissertations
Services provided by spacecraft, including communications and global positioning, are integral to small businesses, multinational corporations, and the United States Department of Defense. United States rivals recognize the need to undermine the military advantage provided by the space domain and are exploring ways to degrade these services in their warfare doctrine. In response, the United States will need space systems suited to counter these threats and personnel who are trained to respond to the new reality of a contested space environment. This paper also reviews the academic literature and written guidelines for developing motivation in an interactive environment for improving …
Examining The Impact Of Logistics On Military Strength Among East Asian Nations Using Data Envelopment Analysis,
2021
Air Force Institute of Technology
Examining The Impact Of Logistics On Military Strength Among East Asian Nations Using Data Envelopment Analysis, Meaghan E. Crandell
Theses and Dissertations
The current narrative in logistics revolves around modernization and the rapid development and deployment of capabilities, which is a sentiment echoed across the Air Force and the DoD alike. However, the combination of intangible and tangible aspects of logistics can make it challenging to find a foundational place to start the process. The purpose of this study is to evaluate logistical factors to include land area, infrastructure, labor force, and GDP and their relationship to military power. This foundation will provide a baseline of areas for improvement and replication. Data Envelopment Analysis (DEA) and linear regression were leveraged to analyze …
Stochastic Programming Design For West Africa Logistics Networks,
2021
Air Force Institute of Technology
Stochastic Programming Design For West Africa Logistics Networks, Julius C. Walker
Theses and Dissertations
The USAFRICOM is studying methods to increase the resiliency of its West African Logistic Network, a hub-and-spoke network design responsible for sustaining long term humanitarian and security missions in the West Africa region. This paper employs a two-stage stochastic programming network design modeled on the WALN that builds a flexible supply chain capable of responding to periodic disruptions while maintaining peak resiliency. Elements such as cost, probability, and event-based disruption are integrated into the model to mirror challenges the WALN faces. We demonstrate that incorporating resilient based response mechanism provide a 90% reduction in cost compared to meeting the logistical …
A Simulation Modeling The Effects Of Maintenance Personnel On Aircraft Sortie Generation,
2021
Air Force Institute of Technology
A Simulation Modeling The Effects Of Maintenance Personnel On Aircraft Sortie Generation, Benjamin D. Huffman
Theses and Dissertations
Commanders and wargamers lack adequate tools to quickly determine the number of mission-capable (MC) aircraft and number of achievable sorties to support wargames and exercises. Even less understood is the impact of available maintenance personnel on sortie generation. The Expected-Number-of-In-Game-Mission-capable Aircraft (ENIGMA) simulation was recently developed to calculate the number of MC aircraft and number of sorties own accounting for the number and type of aircraft, scheduled sorties, mean-time-between-failure (MTBF), and mean-time-to-repair (MTTR). ENIGMA is extended by replacing the MTTR input with functions derived from actual numbers and types of maintenance personnel available. Functions in the form of response surface …
An Analysis Of Application Type, Super Domain, And Productivity In Software Intensive Defense Acquisition,
2021
Air Force Institute of Technology
An Analysis Of Application Type, Super Domain, And Productivity In Software Intensive Defense Acquisition, Evan P. Amato
Theses and Dissertations
The productivity of software developers has been an area of interest in the private industry in an endeavor to more appropriately interpret pertinent software development cost drivers. In an effort to better predict the cost of developing software, many have focused on Application Type as an important factor. The Department of Defense (DoD) has recently adopted a similar focus. Studies on categorization schemes of Application Types have shown increasingly relevant cost and productivity driving characteristics recently in the DoD. Identification of factors associated with distinct productivity effects is important for the defense acquisition and software cost estimation domains. Distinct factors …
A Survey Of The Strategic Alternate Sourcing Program Offices Management Of United States Air Force Diminishing Manufacturing Sources And Material Shortages Subject Matter Experts,
2021
Air Force Institute of Technology
A Survey Of The Strategic Alternate Sourcing Program Offices Management Of United States Air Force Diminishing Manufacturing Sources And Material Shortages Subject Matter Experts, David E. Portée
Theses and Dissertations
The office designated by the Air Force to be DMSMS subject expert program office is known as the Strategic Alternate Sourcing Program Office (SASPO). Aided by the USAF Program Offices and DMSMS Subject Matter Experts, the SASPO is responsible for sourcing DMSMS resolutions as well as the organizing, training, and equipping of the Program Offices DMSMS Programs. Using quantitative research, this study conducts a survey, with the USAF Program Offices as the unit of analysis, to gain insight as to where the SASPO is doing well and where gaps exist in their program management. The analysis and conclusion identify where …
Examining How Standby Assets Impact Optimal Dispatching Decisions Within A Military Medical Evacuation System Via A Markov Decision Process Model,
2021
Air Force Institute of Technology
Examining How Standby Assets Impact Optimal Dispatching Decisions Within A Military Medical Evacuation System Via A Markov Decision Process Model, Kylie Wooten
Theses and Dissertations
The Army medical evacuation (MEDEVAC) system ensures proper medical treatment is readily available to wounded soldiers on the battlefield. The objective of this research is to determine which MEDEVAC unit to task to an incoming 9-line MEDEVAC request and where to station a single standby unit to maximize patient survivability. A discounted, infinite-horizon continuous-time Markov decision process model is formulated to examine this problem. We design, develop, and test an approximate dynamic programming (ADP) technique that leverages a least squares policy evaluation value function approximation scheme within an approximate policy iteration algorithmic framework to solve practical-sized problem instances. A computational …
An Analysis Of Stability In Software Resources Data Report (Srdr) Computer Software Configuration (Csci),
2021
Air Force Institute of Technology
An Analysis Of Stability In Software Resources Data Report (Srdr) Computer Software Configuration (Csci), Trevor J. Violette
Theses and Dissertations
This research studies cost and schedule stability in programs that utilize Software Resource Data Report (SRDR) reporting standards. We find software programs at the Computer Software Configuration Item (CSCI) level show much lower levels of stability than previously published DoD stability research that focused on aircraft. A comparison of software development methods found little to no difference between Agile and Plan Driven methodologies. Critical Success Factors (CSF) were identified from prior literature and used to examine CSCIs from the SRDR dataset. Focusing on schedule or cost resulted in different variables showing significance. A CSCI is more likely to remain on …
Singapore Airlines: Profit Recovery And Aircraft Allocation Models During The Covid-19 Pandemic,
2021
Singapore Management University
Singapore Airlines: Profit Recovery And Aircraft Allocation Models During The Covid-19 Pandemic, Michelle L. F. Cheong, Ulysses M. Z. Chong, Anne N. T. A. Nguyen, Su Yiin Ang, Gabriella P. Djojosaputro, Gordy Adiprasetyo, Kendra L. B. Gadong
Research Collection School Of Computing and Information Systems
COVID-19 has severely impacted the global aviation industry, causing many airlines to downsize or exit the industry. For airlines which attempt to sustain their operations, they will need to respond to the increase in passenger and cargo demand, as countries recover slowly from the crisis due to the availability of vaccines. We built a series of spreadsheet models to first project the COVID-19 recovery rates by countries from 2021 to 2025, then forecast the passenger and cargo demand, using historical data as base figures. Using the financial and operation data, the revenue, expense, and profit can be projected, then an …
Waste Collection Routing Problem: A Mini-Review Of Recent Heuristic Approaches And Applications,
2021
Yuan-Ze University
Waste Collection Routing Problem: A Mini-Review Of Recent Heuristic Approaches And Applications, Yun-Chia Liang, Vanny Minanda, Aldy Gunawan
Research Collection School Of Computing and Information Systems
The waste collection routing problem (WCRP) can be defined as a problem of designing a route to serve all of the customers (represented as nodes) with the least total traveling time or distance, served by the least number of vehicles under specific constraints, such as vehicle capacity. The relevance of WCRP is rising due to its increased waste generation and all the challenges involved in its efficient disposal. This research provides a mini-review of the latest approaches and its application in the collection and routing of waste. Several metaheuristic algorithms are reviewed, such as ant colony optimization, simulated annealing, genetic …
Deployment And Control Of Adaptive Building Facades For Energy Generation, Thermal Insulation, Ventilation And Daylighting: A Review,
2021
Technological University Dublin
Deployment And Control Of Adaptive Building Facades For Energy Generation, Thermal Insulation, Ventilation And Daylighting: A Review, Hani Alkhatib, Philippe Lemarchand, Brian Norton, Dominic O'Sullivan
Articles
A major objective in the design and operation of buildings is to maintain occupant comfort without incurring significant energy use. Particularly in narrower-plan buildings, the thermophysical properties and behaviour of their façades are often an important determinant of internal conditions. Building facades have been, and are being, developed to adapt their heat and mass transfer characteristics to changes in weather conditions, number of occupants and occupant’s requirements and preferences. Both the wall and window elements of a facade can be engineered to (i) harness solar energy for photovoltaic electricity generation, heating, inducing ventilation and daylighting (ii) provide varying levels of …
An Improved Firefly Algorithm And Its Application In Washout Optimization,
2021
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
An Improved Firefly Algorithm And Its Application In Washout Optimization, Wang Hui, Xingshun Lü
Journal of System Simulation
Abstract: To improve the accuracy of the firefly algorithm (FA) and solve the problem of fixed iteration step of the algorithm and easy to fall into local optimum, an improved firefly algorithm is proposed, i.e., EOFA. The EOFA algorithm combines the strong local search ability of extremal optimization algorithm with the strong search ability of firefly algorithm, and adopts the iterative step size of inverted s-type function to improve the optimization ability of the firefly algorithm. The simulation results of function optimization test shows that the improved EOFA algorithm has better optimization performance than firefly algorithm and particle swarm optimization …
Overview Of Cgf-Oriented Cognitive Architecture,
2021
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Overview Of Cgf-Oriented Cognitive Architecture, Xu Kai, Junjie Zeng, Weilong Yang, Qin Long, Quanjun Yin
Journal of System Simulation
Abstract: In order to further formalize and boost standardized behavioral model development of Computer Generated Forces (CGF), the CGF-oriented cognitive architecture is reviewed and the implementation details of one of the CGF cognitive behaviors, i.e. plan recognition, upon standard cognitive architecture are designed. The results show that the well-designed architecture has a strong support for complex behavior modeling. Four specific suggestions, including requirement analysis, design implementation, theoretical principle and cooperation mechanism, for architecture design and complex behavior modeling are provided.
Modeling Of Adversarial Behavior On Road Network Based On Non-Cooperative Game,
2021
1. China Huayin Ordnance Test Center, Huayin 714200, China; ;
Modeling Of Adversarial Behavior On Road Network Based On Non-Cooperative Game, Xiangyu Wei, Zhang Qi
Journal of System Simulation
Abstract: The modeling of adversarial behavior is the key to the study of various military-like confrontation problems. Existing research mainly focus on the target domain, but in reality, many confrontation problems occur on the road network. Combined with the network flow representation of adversarial behavior, a network adversarial game modeling framework based on non-cooperative games is proposed, and a novel road network confrontation problem—network evasion interdiction game is given based on the framework. Simulation experiments show that the new double oracle algorithm performs better than the original linear solution algorithm. Data experiments based on real road networks further verify …
Behavior Modeling For Computer Generated Forces Based On Machine Learning,
2021
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;
Behavior Modeling For Computer Generated Forces Based On Machine Learning, Zhang Qi, Junjie Zeng, Xu Kai, Qin Long, Quanjun Yin
Journal of System Simulation
Abstract: With the rapid development of Machine Learning, especially deep learning, it has become an important way of modeling Computer Generated Force (CGF) behavior by ML methods, which can overcome the challenges of traditional methods. The existing research and application of three typical learning methods in CGF behavior modeling are discussed, and the effects of introducing learning into different stages of the typical CGF applications are analyzed, and the function and performance requirements of CGF behavior modeling using machine learning are proposed. Four potential research directions in the field for future are proposed.
An Intrusion Detection Algorithm Based On Ifoa And Welm,
2021
School of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang 330013, China;
An Intrusion Detection Algorithm Based On Ifoa And Welm, Jianwu Dang, Tan Ling
Journal of System Simulation
Abstract: An intrusion detection algorithm of WELM optimized by IFOA is proposed. The advantages of short training time and good generalization performance of WELM are used, and the weight of minority attacks is increased, so that the recall rate of minority attacks in network attacks is greatly improved.The FOA with adaptive adjustment of the iterative step size is used, so the input weights and bias of the hidden layer in the WELM are globally optimized to avoid the algorithm falling into local optimal solution and realize the classification of the NSL-KDD intrusion detection data set. The experimental results show …
Integrated Design And Simulation Of A Giant Magnetostrictive Driving Positioning And Vibration Suppression System,
2021
1. Department of Mechanical Engineering, Donghua University, Shanghai 201620, China; ;
Integrated Design And Simulation Of A Giant Magnetostrictive Driving Positioning And Vibration Suppression System, Xiaoqing Sun, Hu Wei, Yucheng Liu, Zhilei Wang, Hu Jun
Journal of System Simulation
Abstract: Aiming at the ultra-precision positioning and vibration suppression for sensitive payloads on-orbital working environment, a giant magnetostrictive driving positioning and vibration suppression system is proposed. The passive vibration isolation performance is selected as the optimization objective to realize the optimization design of the key part of the integrated system. The dynamic model of the whole system is built and the simulation model is constructed through Simulink. The simulation analysis and experimental tests are carried out to test the integrated system. The results show that the proposed integrated system realizes the ultra-precision positioning, and suppresses the vibration above 60 Hz, …
Longitudinal Adaptive Control Of Autonomous Vehicles Base On Optimization Algorithm,
2021
School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China;
Longitudinal Adaptive Control Of Autonomous Vehicles Base On Optimization Algorithm, Zhishuai Yin, Jiaxiong He, Linzhen Nie, Jiayi Guan
Journal of System Simulation
Abstract: Aiming at the nonlinear, time-varying and uncertain characteristics of the longitudinal motion of autonomous vehicles, a Radial Basis Function neural network(RBFNN) Proportional Integral Derivative(PID) controller base on Particle Swarm Optimization(PSO) is designed. A RBFNN is integrated into a PID controller so that parameters of the PID controller could be adjusted self-adaptively. To solve the problem that poor selection of initial parameters of RBFNN and PID might lead to overshoot or instability in the control system, PSO is adopted to optimize aforementioned initial parameters off-line. Finally, a closed-loop adaptive control system model is built in MATLAB/Simulink. Simulation results show that …
A Quantized State System Method With Adaptive Quantum,
2021
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China;
A Quantized State System Method With Adaptive Quantum, Zhihua Li, Dongjin Fu, Li Guang, Zhihua Fan
Journal of System Simulation
Abstract: Quantized state system (QSS) is a new numerical integration method. It has advantages over the traditional time-discrete integration methods in solving general ordinary differential equation (ODE) systems. But it is hard to choose an appropriate quantum for the QSS method. In order to improve the accuracy and efficiency of QSS, a quantized state system method with adaptive quantum (VQSS) is proposed. Combined with the idea of step control in the variable step Runge-Kutta method, it can adaptively change the quantum in the process of computation. The feasibility of this algorithm is verified by the simulation of two examples …
