Open Access. Powered by Scholars. Published by Universities.®
Operations Research, Systems Engineering and Industrial Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (5231)
- Computer Sciences (4776)
- Artificial Intelligence and Robotics (4243)
- Computer Engineering (4206)
- Systems Science (3974)
-
- Numerical Analysis and Scientific Computing (3946)
- Industrial Engineering (3567)
- Operational Research (2141)
- Business (1293)
- Systems Engineering (1263)
- Mechanical Engineering (912)
- Industrial Technology (743)
- Social and Behavioral Sciences (740)
- Electrical and Computer Engineering (692)
- Other Operations Research, Systems Engineering and Industrial Engineering (664)
- Education (609)
- Manufacturing (524)
- Higher Education (467)
- Chemical Engineering (424)
- Operations and Supply Chain Management (403)
- Business Administration, Management, and Operations (318)
- Civil and Environmental Engineering (317)
- Process Control and Systems (298)
- Public Affairs, Public Policy and Public Administration (292)
- Controls and Control Theory (289)
- Medicine and Health Sciences (282)
- Technology and Innovation (273)
- Risk Analysis (260)
- Institution
-
- China Simulation Federation (3880)
- Air Force Institute of Technology (1238)
- Missouri University of Science and Technology (839)
- University of Nebraska - Lincoln (764)
- California Polytechnic State University, San Luis Obispo (590)
-
- Old Dominion University (585)
- Singapore Management University (450)
- Chulalongkorn University (375)
- University of Central Florida (275)
- University of Dar es Salaam (264)
- University of Arkansas, Fayetteville (260)
- Tashkent State Technical University (253)
- Georgia Southern University (225)
- Engineering Conferences International (205)
- New Jersey Institute of Technology (202)
- California State University, San Bernardino (185)
- University of Texas at Arlington (169)
- Clemson University (164)
- Purdue University (162)
- Wright State University (149)
- Embry-Riddle Aeronautical University (146)
- Portland State University (135)
- West Virginia University (97)
- Wayne State University (94)
- University of Texas Rio Grande Valley (91)
- University of Texas at El Paso (91)
- University of Northern Iowa (85)
- University of South Florida (83)
- Western Michigan University (81)
- University of Louisville (73)
- Keyword
-
- Simulation (303)
- Optimization (198)
- Machine learning (112)
- Deep learning (93)
- Scheduling (93)
-
- Decision making (85)
- Applied sciences (77)
- Path planning (77)
- Modeling (76)
- Reinforcement learning (73)
- Systems engineering (71)
- Manufacturing (70)
- Engineering (69)
- Genetic algorithm (68)
- Sustainability (66)
- Virtual reality (59)
- Uncertainty (57)
- Artificial intelligence (55)
- Machine Learning (55)
- Department of Biomedical, Industrial & Human Factors Engineering (54)
- Multi-objective optimization (54)
- Technology (53)
- Design (51)
- Logistics (50)
- Reliability (50)
- Automation (49)
- Digital twin (49)
- Modeling and simulation (48)
- Industrial engineering (46)
- Neural networks (45)
- Publication Year
- Publication
-
- Journal of System Simulation (3880)
- Theses and Dissertations (1284)
- Engineering Management and Systems Engineering Faculty Research & Creative Works (468)
- Research Collection School Of Computing and Information Systems (417)
- ACUTA Newsletters (383)
-
- Chulalongkorn University Theses and Dissertations (Chula ETD) (375)
- Industrial and Manufacturing Engineering (356)
- Tanzania Journal of Engineering and Technology (TJET) (261)
- Chemical Technology, Control and Management (251)
- Electronic Theses and Dissertations (249)
- Engineering Management & Systems Engineering Theses & Dissertations (214)
- Masters Theses (194)
- Engineering Management & Systems Engineering Faculty Publications (191)
- Journal of International Technology and Information Management (182)
- Theses (169)
- United States Army: Publications (164)
- Faculty Publications (150)
- Industrial, Manufacturing, and Systems Engineering Dissertations - Archive (139)
- Industrial Technology and Packaging (128)
- Graduate Theses and Dissertations (122)
- All Dissertations (100)
- Doctoral Dissertations (100)
- Biomedical, Industrial & Human Factors Engineering Faculty Publications (93)
- Industrial Engineering Undergraduate Honors Theses (87)
- Open Access Theses & Dissertations (87)
- Manufacturing & Industrial Engineering Faculty Publications (83)
- USF Tampa Graduate Theses and Dissertations (79)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (74)
- Dissertations and Theses @ UNI (73)
- Master's Theses (70)
- Publication Type
- File Type
Articles 3661 - 3690 of 13783
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
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 …
Examining The Impact Of Logistics On Military Strength Among European Nations Using Data Envelopment Analysis, Hunter C. Kalin
Examining The Impact Of Logistics On Military Strength Among European Nations Using Data Envelopment Analysis, Hunter C. Kalin
Theses and Dissertations
The purpose of this study is to evaluate if logistics and economic factors affect how a country achieves its military power. Countries have focused on material factors such as nuclear weapons or massive military presence for far too long. What has not been discussed is, do other factors play a role in achieving military power. This study applied Data Envelopment Analysis (DEA) and linear regression to a series of United States European Command (EUCOM) countries and the United States to understand how efficient each country was at achieving its military power. Additionally, the overall relationship between military power and each …
Strategic Upgrade Scheduling And Portfolio Management To Fortify Contested Networks, Justin L. Anderson
Strategic Upgrade Scheduling And Portfolio Management To Fortify Contested Networks, Justin L. Anderson
Theses and Dissertations
The nuclear command, control, and communication (NC3) network provides an effective deterrent against adversaries by maintaining robust communication between assets, operators, and decision makers. NC3 must receive a series of upgrades to remain an effective deterrent against evolving threats around the globe. Given a contested network and a portfolio of network upgrades, this research seeks an optimal upgrade schedule to maximize network resilience in support of NC3 modernization. Our research contributes a model that solves a budget-constrained network upgrade scheduling problem (NUSP). The NUSP is a defender-attacker-defender tri-level optimization model that achieves fortification via selecting and scheduling network upgrades. The …
The Impact Of Triage Classification Errors On Military Medical Evacuation System Performance, Emily S. Graves
The Impact Of Triage Classification Errors On Military Medical Evacuation System Performance, Emily S. Graves
Theses and Dissertations
In a deployed environment, evacuation requests of injured personnel are serviced by multiple forms of evacuation including medical evacuation (MEDEVAC) and casualty evacuation (CASEVAC). This thesis focuses on the optimal dispatching policy for MEDEVAC units when triage classification errors and blood transfusion kits are considered. A discounted, infinite-horizon Markov decision process (MDP) model is formulated to analyze the MEDEVAC dispatching problem and determine the optimal policy based on the status of the MEDEVAC units in the system, the priority level of incoming requests, and the locations from which requests originate. A notional, representational scenario based in Azerbaijan is utilized to …
Automated Sentiment Analysis For Personnel Survey Data In The Us Air Force Context, Julia M. Haines
Automated Sentiment Analysis For Personnel Survey Data In The Us Air Force Context, Julia M. Haines
Theses and Dissertations
When surveys are distributed across the Air Force (AF), whether it be an employee engagement survey, a climate survey, or similar, significant resources are put towards the development, distribution and analysis of the survey. However, when open ended questions are included on these surveys, respondent comments are generally underutilized, more often treated as a source for pull-quotes rather than a data source in and of themselves. This is due to a lack of transparency and confidence in the accuracy of machine-aided methods such as sentiment analysis and topic modeling. This confidence reduces further when the text has special context, such …
The Autonomous Attack Aviation Problem, John C. Goodwill
The Autonomous Attack Aviation Problem, John C. Goodwill
Theses and Dissertations
An autonomous unmanned combat aerial vehicle (AUCAV) performing an air-to-ground attack mission must make sequential targeting and routing decisions under uncertainty. We formulate a Markov decision process model of this autonomous attack aviation problem (A3P) and solve it using an approximate dynamic programming (ADP) approach. We develop an approximate policy iteration algorithm that implements a least squares temporal difference learning mechanism to solve the A3P. Basis functions are developed and tested for application within the ADP algorithm. The ADP policy is compared to a benchmark policy, the DROP policy, which is determined by repeatedly solving a deterministic orienteering problem as …
Bayesian Augmentation Of Cnn-Lstm For Video Classification With Uncertainty Measures, Emmie K. Swize
Bayesian Augmentation Of Cnn-Lstm For Video Classification With Uncertainty Measures, Emmie K. Swize
Theses and Dissertations
The success of Department of Defense (DoD) missions rely heavily on intelligence, surveillance, and reconnaissance (ISR) capabilities, which supply information about the activities and resources of an enemy or adversary. To secure this information, satellites and unmanned aircraft systems collect video data to be classified by either humans or machine learning networks. Traditional automated video classification methods lack measures of uncertainty, meaning the network is unable to identify those cases in which it predictions are made with significant uncertainty. This leads to misclassification, as the traditional network classifies each observation with same amount of certainty, no matter what the observation …
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
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, Yun-Chia Liang, Vanny Minanda, Aldy Gunawan
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 …
A Simulation Modeling The Effects Of Maintenance Personnel On Aircraft Sortie Generation, Benjamin D. Huffman
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 …
Examining Crucial Demographic Trends In General Aviation, Joshua D. Meyer
Examining Crucial Demographic Trends In General Aviation, Joshua D. Meyer
Theses and Dissertations
America's General Aviation sector has witnessed significant demographic shifts since the turn of the century. The number of certified, private pilots, non-fatal aircraft accidents, fatal aircraft accidents, and number of general aviation hours flown are all in decline. Meanwhile, the average age of an American private pilot has increased by several years. All of these factors indicate that the industry is in decline. This study determined via mathematical, linear regression that times relationship to the number of annual, fatal General Aviation accidents and the number of certified private pilots is negative. It also proved that the average age of the …
Optimizing Cost And Performance Of Infrastrucure Alternatives At Contingency Bases In A Hub-And-Spoke Network, Kyle J. Rodriguez
Optimizing Cost And Performance Of Infrastrucure Alternatives At Contingency Bases In A Hub-And-Spoke Network, Kyle J. Rodriguez
Theses and Dissertations
Military contingency bases require substantial resources and funding sustain and are often not connected to an infrastructure grid. Infrastructure assets produce the required outputs for sustainment, but are often expensive and inefficient, producing a significant logistical burden. With the increasing near-peer threats of opposing military forces, there is a need for more self-sufficient contingency bases with alternatives that reduce resources usage and the cost of sustainment. Accordingly, the goal of this research is to develop an optimization model capable of selecting infrastructure alternative combinations that minimize the overall resource usage and cost of sustainment at the contingency base level.
Assessing The Effectiveness Of Afwerx Ability To Influence Regional Participation Rates And Capture Cluster Specific Technological Innovations, Colin M. Sandor
Assessing The Effectiveness Of Afwerx Ability To Influence Regional Participation Rates And Capture Cluster Specific Technological Innovations, Colin M. Sandor
Theses and Dissertations
The 2018 National Defense Strategy (NDS) emphasized capturing innovation through partnerships with non-traditional defense contractors. Furthermore, the NDS outlined the need to rapidly acquire new technologies to maintain a competitive advantage against our adversaries. The AFWERX program is the Air Forces attempt to accomplish these goals. AFWERX seeks to capture innovations occurring within the private sector of the United States by placing itself geographically within top innovation ecosystems. An approach that creates a setting where the Air Force is one of many investors, who benefit from the learning and investments across the entire network. The research within this paper examines …
Resupply Operations Of A Dispersed Infantry Brigade Combat Team Using Approximate Dynamic Programming, Camero K. Song
Resupply Operations Of A Dispersed Infantry Brigade Combat Team Using Approximate Dynamic Programming, Camero K. Song
Theses and Dissertations
Military sustainment planners must consider the effective employment of Cargo Unmanned Aerial Vehicles (CUAVs) into resupply operations under austere threat conditions. Viewed as an inventory routing problem, the complexities of resupplying dislocated Forward Operating Bases (FOBs) under dangerous and dynamic conditions warrant additional features to the baseline problem. This research models a military stochastic inventory routing problem with multiple routing (MIL SIRP- MR) as a Markov decision process (MDP) model and provides high-quality policy solutions using a combination of approximate dynamic programming and ordinal optimization techniques.
Meta-Heuristic Optimization Methods For Quaternion-Valued Neural Networks, Jeremiah P. Bill
Meta-Heuristic Optimization Methods For Quaternion-Valued Neural Networks, Jeremiah P. Bill
Theses and Dissertations
In recent years, real-valued neural networks have demonstrated promising, and often striking, results across a broad range of domains. This has driven a surge of applications utilizing high-dimensional datasets. While many techniques exist to alleviate issues of high-dimensionality, they all induce a cost in terms of network size or computational runtime. This work examines the use of quaternions, a form of hypercomplex numbers, in neural networks. The constructed networks demonstrate the ability of quaternions to encode high-dimensional data in an efficient neural network structure, showing that hypercomplex neural networks reduce the number of total trainable parameters compared to their real-valued …
An Examination Of Potential Training Regression Recognition Algorithms For Pilot Training Next, Alex R. Gaines
An Examination Of Potential Training Regression Recognition Algorithms For Pilot Training Next, Alex R. Gaines
Theses and Dissertations
The initiative to reduce the Air Forces serious pilot shortage lead to the Pilot Training Next (PTN) program. Under PTN, student pilots progress at an individual rate while making increased use of simulator-based training resources. A previous thesis used data from the first PTN class to conceptualize and prototype a student training flight scheduler. This scheduler did not consider training events required to bring students back to achieved levels of performance if in fact that student performance had regressed. This thesis examines three classes of PTN student data to determine whether student regression in training progression can be detected. A …
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
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 …
Preliminary Research On Verification And Validation For Cgf Behavioral Modeling, Jianbing Tang, Zhang Qi, Jiao Peng, Yabing Zha
Preliminary Research On Verification And Validation For Cgf Behavioral Modeling, Jianbing Tang, Zhang Qi, Jiao Peng, Yabing Zha
Journal of System Simulation
Abstract: Building computer generated force model is a very important job in combat simulation. Its core content is modeling of complicated human behavior, including cognition behavioral modeling and physical behavioral modeling. The credibility is vital for behavioral model. Verification and validation (V&V) in all life circle of behavioral modeling can insure the credibility of behavioral model. On the basis of explaining V&V of behavioral modeling and other conceptions, the process model of behavioral modeling is proposed. The V&V process of CGF behavioral modeling is studied emphasizly. Many effective V&V methods for CGF behavioral modeling are explored.
An Improved Firefly Algorithm And Its Application In Washout Optimization, Wang Hui, Xingshun Lü
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 …
Research On Virtual Avatar Position And Orientation Technology For Augmented Reality Virtual Sandbox, Tiantian Yu, Xiaoping Wang, Weiqing Li, Zhiyong Su
Research On Virtual Avatar Position And Orientation Technology For Augmented Reality Virtual Sandbox, Tiantian Yu, Xiaoping Wang, Weiqing Li, Zhiyong Su
Journal of System Simulation
Abstract: When using augmented reality (AR) virtual sandbox for multi-person collaborative command or discussion, the local operator needs to know the specific direction and location of the remote operator to avoid wrong direction, position conflict and to better communicate with the other. Aiming at this problem, a three-dimensional marker suitable for AR environment is designed, and a vision-based position and orientation algorithm is researched and implemented. The PnP algorithm is used to estimate the pose of the marker, and the area ratio method is used to calculate the azimuth. The experimental results show that the proposed algorithm can achieve …
Study On The Scattering Echo Signal Simulation Method Of Sea Scene For Wide-Band Phased Array Radar, Guijie Diao, Ni Hong, Yang Liang, Ningbo Gong, Guo Jiao
Study On The Scattering Echo Signal Simulation Method Of Sea Scene For Wide-Band Phased Array Radar, Guijie Diao, Ni Hong, Yang Liang, Ningbo Gong, Guo Jiao
Journal of System Simulation
Abstract: Aiming at the problem of fast and accurate simulation of sea -scene scattering echo for wide-band phased array radar in radio frequency simulation, an efficient calculation method is proposed based on the time-domain approximation and frequency-domain transform. The frequency-domain transform method is used to calculate the scattering echo signal accurately, and the time-domain approximation method is used to calculate the echo signal of the large area of sea-clutter background. Then the scattering echo signal for wide-band phased array radar of the sea-scene is generated through vector summation. The simulation results validate this hybrid method. It shows that this hybrid …
An Intelligent Method For Rapid Construction Of Time Sensitive Target Strike Chain, Jiabo Lu, Peixing Cheng, Huang Yi, Jinqiang Yao, Xuemeng Yang, Xinqiang Ma, Liu Yong
An Intelligent Method For Rapid Construction Of Time Sensitive Target Strike Chain, Jiabo Lu, Peixing Cheng, Huang Yi, Jinqiang Yao, Xuemeng Yang, Xinqiang Ma, Liu Yong
Journal of System Simulation
Abstract: In order to improve the construction efficiency of the time sensitive hit chain, optimize the resource allocation in combat, and realize an intelligent method for quickly constructing the time-sensitive strike chain, the simulated annealing algorithm and genetic algorithm are adopted to build a time sensitive hit chain. Simulation experiments show that the method can complete the time sensitive target strike priority sorting, sensor platform-target pairing and weapon platform-target pairing in a short time, and destroy the target within the target time window. The proposed method optimizes the application of sensors and weapons, compensates for the limitations of constructing time-sensitive …
Three-Dimensional Adaptive Neural Network Guidance Law Against Maneuvering Targets, Yujie Si, Xiong Hua, Zhe Li
Three-Dimensional Adaptive Neural Network Guidance Law Against Maneuvering Targets, Yujie Si, Xiong Hua, Zhe Li
Journal of System Simulation
Abstract: The problem of designing a three-dimensional nonlinear guidance law accounting for saturation nonlinearity is concentrated to attack maneuvering targets. To solve the physical constraints of missile actuators, an anti-disturbance and anti-saturation terminal sliding mode guidance law is provided based on radial basis functions neural networks and adaptive method. The guidance law is bounded and ensures that the system state is uniformly ultimately bounded. Compared with the traditional anti-saturation guidance law, it has the advantages of fast convergence speed and high precision. Numerical simulations are introduced to demonstrate the effectiveness and superiority of the designed composite guidance law in theory.
Overview Of Cgf-Oriented Cognitive Architecture, Xu Kai, Junjie Zeng, Weilong Yang, Qin Long, Quanjun Yin
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, Xiangyu Wei, Zhang Qi
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, Zhang Qi, Junjie Zeng, Xu Kai, Qin Long, Quanjun Yin
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.
Refined Alignment Method For Single-Axis Rotary Inertial Navigation Based On Fuzzy Adaptive Filtering, Hu Jie, Xiaozhu Shi
Refined Alignment Method For Single-Axis Rotary Inertial Navigation Based On Fuzzy Adaptive Filtering, Hu Jie, Xiaozhu Shi
Journal of System Simulation
Abstract: In order to restrain the influence of saw tooth velocity error caused by the inertial measurement unit (IMU) rotation on the initial alignment accuracy of single-axis rotary strapdown inertial navigation system (SINS), a refined alignment method based on fuzzy adaptive Kalman filtering is proposed. After calculating the ratio of actual covariance to theoretical covariance of the innovation sequence, the method adaptively adjusts the measurement noise covariance matrix by using the fuzzy inference system (FIS), so that it can adapt to the changes of measurement noise caused by IMU rotation. The initial alignment validation experiments under the swing environment …
An Intrusion Detection Algorithm Based On Ifoa And Welm, Jianwu Dang, Tan Ling
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 …
Flight Simulation Modeling Method Based On Improved Euler Angle Formula, Lishan Jia, Li Ang
Flight Simulation Modeling Method Based On Improved Euler Angle Formula, Lishan Jia, Li Ang
Journal of System Simulation
Abstract: Aiming at the singularity problem of common full flight motion equation, a modeling method based on improved Euler angle formula is proposed. On the basis of the modified small perturbation modeling equation, this method increases the influence of aircraft maneuvering surface on the aircraft Euler angle and a variable step solution algorithm is used. The model can overcome the singularity problem of common Euler equation, and the accuracy of model calculation is higher than other flight simulation models which overcome the singularity of Euler equation. Compared with the flight simulation model using the conventional Euler angle formula, the proposed …
Integrated Design And Simulation Of A Giant Magnetostrictive Driving Positioning And Vibration Suppression System, Xiaoqing Sun, Hu Wei, Yucheng Liu, Zhilei Wang, Hu Jun
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, …