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UAV Swarm Mission Planning and Routing using Multi-Objective Evolutionary Algorithms

Gary B. Lamont, James N. Slear, Kenneth Melendez
2007 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making  
The purpose of this research is to design and implement a comprehensive mission planning system for swarms of autonomous aerial vehicles (UAV).  ...  Out of order execution avoids delaying received events scheduled at a future time, while waiting on the receipt of all events from earlier times.  ...  Our associated Genetic Vehicle Routing algorithm [21, 26] uses an evolutionary approach to find an optimal assignment of vehicles to targets for combat or reconnaissance missions.  ... 
doi:10.1109/mcdm.2007.369410 dblp:conf/cimcdm/LamontSM07 fatcat:7tdcev3sxfhevagxrplootycoy

Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
Then machine learning and blockchain techniques as novel defense mechanisms are explored to enhance the security of vehicular networks.  ...  To direct UUVs in real-time, a mission-motion planner is modeled using tri-level optimization frameworks.  ...  In fine optimization, the B-spline curve is exploited to connect the searched states into a continuous trajectory.  ... 
doi:10.1109/tits.2022.3141513 fatcat:gvywr655cvgolg7rfjrqmt33b4

Efficient Master/Worker Parallel Discrete Event Simulation

Alfred Park, Ric Fujimoto
2009 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation  
I feel I have learned a great deal not only from his advisement and expertise but also through the exposure to a variety of projects that I was able to participate in.  ...  First and foremost, this thesis would not have been possible without the support and guidance from my advisor, Dr. Richard Fujimoto.  ...  Computer simulations can be generally divided into two categories: continuous and discrete. As the name implies, continuous simulations correspond to models that change continuously over time.  ... 
doi:10.1109/pads.2009.9 dblp:conf/pads/ParkF09 fatcat:6aiga6uc6jdy5adfzhujiqab3a

Analysis of Aperture Shape Changing Trend Base on the Shaped Charge Jet Penetration through the Steel Target [chapter]

Junqing Huang, Yalong Ma, Kelei Huang, Jianxun Zhao
2012 Communications in Computer and Information Science  
Simultaneously, discrete difference is used to approximate differential operation. New iterative 3-D shape reconstruction algorithm is proposed by the discrete difference equation.  ...  It is shown in the paper that the derivative state constrained optimal H2 integral servo problems can be reduced to the standard optimal H2 control problem.  ...  QSS method discretizes the continuous system to discrete-event model and each model could be treated as a federate in HLA.  ... 
doi:10.1007/978-3-642-34384-1_2 fatcat:xvp3o6agk5hxpmbjptnthxiz5m

2021 Index IEEE Robotics and Automation Letters Vol. 6

2021 IEEE Robotics and Automation Letters  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Trajectory Optimization of Contact-Rich Motions Using Implicit Differential Dynamic Programming.  ... 
doi:10.1109/lra.2021.3119726 fatcat:lsnerdofvveqhlv7xx7gati2xu

A review of modelling and analysis of morphing wings

Daochun Li, Shiwei Zhao, Andrea Da Ronch, Jinwu Xiang, Jernej Drofelnik, Yongchao Li, Lu Zhang, Yining Wu, Markus Kintscher, Hans Peter Monner, Anton Rudenko, Shijun Guo (+4 others)
2018 Progress in Aerospace Sciences  
Methods and tools commonly deployed for the design and analysis of these concepts are discussed, ranging from structural to aerodynamic analyses, and from control to optimisation aspects.  ...  use are given.  ...  Aquatic Micro Air Vehicle (AquaMAV) in Figure 6 (b) is designed to satisfy such mission profiles, and uses a reconfigurable wing to dive into the water from flight.  ... 
doi:10.1016/j.paerosci.2018.06.002 fatcat:ouoordkgd5cmhap64hpji2h5ya

2019 Index IEEE Transactions on Signal Processing Vol. 67

2019 IEEE Transactions on Signal Processing  
Xue, Z., +, Adaptive Global Time Sequence Averaging Method Using Dynamic Time Warping.  ...  Huang, Y., +, TSP Oct. 15, 2019 5417-5432 A June 1, 2019 3042-3057 Adaptive Global Time Sequence Averaging Method Using Dynamic Time Warping.  ... 
doi:10.1109/tsp.2020.2968163 fatcat:dvvpqntb2rc2bjed5nnk4xora4

Ideas for Citizen Science in Astronomy

Philip J. Marshall, Chris J. Lintott, Leigh N. Fletcher
2015 Annual Review of Astronomy and Astrophysics  
We review the relatively new, internet-enabled, and rapidly-evolving field of citizen science, focusing on research projects in stellar, extragalactic and solar system astronomy that have benefited from  ...  In the coming years we expect participation and productivity in citizen astronomy to increase, as survey datasets get larger and citizen science platforms become more efficient.  ...  Acknowledgments We are most grateful to the following people for their suggestions, comments,  ... 
doi:10.1146/annurev-astro-081913-035959 fatcat:4vqilnbdxbbotcsabxhzpsd724

Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning [article]

Szymon Szott, Katarzyna Kosek-Szott, Piotr Gawłowicz, Jorge Torres Gómez, Boris Bellalta, Anatolij Zubow, Falko Dressler
2022 arXiv   pre-print
Much research has been published on using ML to improve Wi-Fi performance and solutions are slowly being adopted in existing deployments.  ...  While classical optimization approaches fail in such conditions, machine learning (ML) is able to handle complexity.  ...  The ML improvement is in comparison to SoA methods. Table V -continued from previous page Table V -continued from previous page ML ML ML ML Evaluation Evaluation Area Area Ref.  ... 
arXiv:2109.04786v3 fatcat:ny55qfhsnfduzcxyve5mylpr2m

Crawler [chapter]

Kenneth A. Ross, Christian S. Jensen, Richard Snodgrass, Curtis E. Dyreson, Christian S. Jensen, Richard Snodgrass, Spiros Skiadopoulos, Cristina Sirangelo, Mary Lynette Larsgaard, Gösta Grahne, Daniel Kifer, Hans-Arno Jacobsen (+106 others)
2009 Encyclopedia of Database Systems  
As a result, it is common (at the time of writing) for data accesses to RAM to require several hundred CPU cycles to resolve.  ...  This knowledge can be used to ensure that the algorithms have good temporal and/or spatial locality on the target platform.  ...  When two time series are compared, the Dynamic Time Warping distance measure is often used to quantify their distance.  ... 
doi:10.1007/978-0-387-39940-9_2315 fatcat:x4qspjdytvhvroc7h753dihp7u

Ping-pong beam training for reciprocal channels with delay spread

Elisabeth de Carvalho, Jorgen Bach Andersen
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
Incorporating these constraints in an analytically tractable manner continues to be longstanding open challenge as the optimization problem subject to these constraints is a hard non-convex problem.  ...  More generally, it can be derived using the replica method from statistical physics.  ...  We propose prediction-correction algorithms with a discrete time-sampling scheme to find and track the solution trajectory, while sampling the problem data at a constant rate of $1/h$.  ... 
doi:10.1109/acssc.2015.7421451 dblp:conf/acssc/CarvalhoA15 fatcat:mqokuvnh3zg45licnfbgxyvxfu

Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning

Szymon Szott, Katarzyna Kosek-Szott, Piotr Gawlowicz, Jorge Torres Gomez, Boris Bellalta, Anatolij Zubow, Falko Dressler
2022 IEEE Communications Surveys and Tutorials  
Much research has been published on using ML to improve Wi-Fi performance and solutions are slowly being adopted in existing deployments.  ...  While classical optimization approaches fail in such conditions, machine learning (ML) is able to handle complexity.  ...  The example shows two RL algorithms that use different types of output (DQN -discrete, DDPG -continuous) and which explore the available parameter space in search of better CW values (a).  ... 
doi:10.1109/comst.2022.3179242 fatcat:sqmcwxuawrchjkaprnak4kawym

Interoperability, XML Schema [chapter]

2017 Encyclopedia of GIS  
B Dynamic time warping in contrast, allows non-linear alignments.  ...  time instants t i and t j after using l optimal MBRs.  ...  In practice, some kind of penalty function is used to avoid excessive freedom of clusters shape.  ... 
doi:10.1007/978-3-319-17885-1_100625 fatcat:bgxdhdxa4bewzcggrogz56rdpi

An Introduction to Sensor Data Analytics [chapter]

Charu C. Aggarwal
2012 Managing and Mining Sensor Data  
We, then, can use a two-state HMM with states Hot (denoted as H) and Cold (denoted as C) to continuously infer the semantic states of the temperature in all the rooms.  ...  Second, for choosing sensors to sample, the BBQ system poses an optimization problem of the following form: min So⊆S and B(So)≥1−δ. C(S o ), (2.2) Ken.  ...  Access to computing facilities was provided by the University of Minnesota Supercomputing Institute.  ... 
doi:10.1007/978-1-4614-6309-2_1 fatcat:pfbx566yfzgqpnjcuzonmxr23q

D1.1 - State of the Art Analysis

Danilo Ardagna
2021 Zenodo  
The aim of this deliverable is to review the state-of-the-art in techniques used in the development and operation of AI applications in computing continua and the related technologies.  ...  We also extensively discuss existing solutions for applications deployment, monitoring, runtime management, and scheduling considering the emerging Function as a Service paradigm.  ...  some implicit concerns: decomposing the problem into computing units (tasks), map those tasks onto the available compute resource and decide the optimal moment to start the task execution (scheduling)  ... 
doi:10.5281/zenodo.6372377 fatcat:f6ldfuwivbcltew4smiiwphfty
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