A5000381477- Galaxies: Formation, Evolution, Phenomena
- Distributed Control Multi-Agent Systems
- Astronomy and Astrophysical Research
- Evolutionary Algorithms and Applications
- Stellar, planetary, and galactic studies
- Metaheuristic Optimization Algorithms Research
- Underwater Vehicles and Communication Systems
- Remote Sensing in Agriculture
- Evolutionary Game Theory and Cooperation
- Scientific Research and Discoveries
- Underwater Acoustics Research
- stochastic dynamics and bifurcation
- Artificial Intelligence in Games
- Data Analysis with R
- Computer Graphics and Visualization Techniques
- Optimization and Search Problems
- Complex Network Analysis Techniques
- Fuzzy Logic and Control Systems
- Spectroscopy and Laser Applications
- Wireless Networks and Protocols
- Semiconductor Quantum Structures and Devices
- Language, Metaphor, and Cognition
- Opinion Dynamics and Social Influence
- Atmospheric Ozone and Climate
- Neural dynamics and brain function
University of Central Lancashire
2014-2022
Saint Mary's University
2017-2022
University of Hull
2017
Joint Institute for Nuclear Astrophysics
2017
Pennsylvania State University
2013-2014
United States Air Force Academy
2009
University of Washington
2003-2004
Northampton Community College
1996
Given a complicated and computationally intensive underwater acoustic model in which some measurement is function of sonar system environmental parameters, it beneficial to train neural network emulate the properties that model. this model, we now have convenient means performing geoacoustic inversion without computational intensity required when attempting do so with actual This paper proposes an efficient reliable method obtain parameters pertaining characteristics ocean floor, using two...
One of the benefits using Combs disjunctive control in swarm intelligence is ability to continue operate even when one or more its sensors are broken. Instead failing, continues perform based on inputs remaining sensors. In this technical correspondence, a multiobjective scenario designed for agents complete. Once optimized, modified by removing Maintaining original objective, evolution process continued allow compensate handicap. This correspondence describes different emergent behaviors...
Given simple agent rules, a swarm's emergent behavior can be difficult to predict. The inverse problem is even more difficult: desired behavior, what are the rules by which swarm agents should operate? Disjunctive fuzzy control proposed as method model agents. Compared commonly used conjunctive such that Mamdani, disjunctive robustly fault tolerant and disjointly connected. Swarms inherently disjunctive. Instead of working in coordination with one another, each contributes individually...
Using a cosmological $N$-body simulation, we investigate the origin and distribution of stars in intracluster light (ICL) Fornax-like cluster. In dark matter only simulation identify halo which, at $z=0$, has $M_200 \simeq 4.1 \times 10^{13}M_{sun}$ $r_{200} = 700kpc$, replace infalling subhalos with models that include spheroid disc components. As they fall into cluster, some these galaxies are stripped from their hosts, form ICL. We consider separate contributions to ICL which originate...
Stochastic resonance is said to occur when just the right amount of noise enhances performance a process. For simple threshold detector, first moment stochastic obtained by passing signal through transfer function equal transposed and shifted version underlying noise's probability distribution function. The process readily evident in images wherein corresponding linear produces better visual representation than other used.
The dynamics of large decentralized groups agents, or swarms, can be difficult to characterize due complex and often unpredictable behaviors that arise from low-level interactions between agents. When designing multiagent systems, these emergent have hidden undesirable implications on the overall operation swarm. This paper examines use inversion swarm refine individual agents' rules in order achieve a given collective goal applies this method scenario tactical relevance: point defense very...
The typical methodology for comparing simulated galaxies with observational surveys is usually to apply a spatial selection the simulation mimic region of interest covered by comparable survey sample. In this work we compare approach more sophisticated post-processing in which uncertainties and effects (photometric, surface gravity effective temperature) are taken into account. We `solar neighbourhood analogue' model Milky Way-like galaxy RAMSES-CH fourth release Gaia-ESO data. find that...
Swarms are collections of loosely coupled distinct agents each following simple rules. do not use central coordination AND individual need be aware the swarm's overall function. As agent performs its task, swarm collective can display unusual and unexpected emergent behaviors. For those swarms defying analytic evaluation, simulation remains as only method to reveal behavior. A number simulated with no more than rules follow. Each reveals an interesting often surprising Termites clear areas...
We conduct hydrodynamical cosmological zoom simulations of fourteen voids to study the ability haloes accrete gas at different locations throughout z = 0. Measuring relative velocity with respect their ambient gas, we find that a tenth are expected be unable external due its fast flow passed them (so called 'fast haloes'). These typically located near void walls. determine these have recently crossed wall and still moving away from it. motion counter falling towards results in flows make...
We present VIDE, the Void IDentification and Examination toolkit, an open-source Python/C++ code for finding cosmic voids in galaxy redshift surveys N-body simulations, characterizing their properties, providing a platform more detailed analysis. At its core, VIDE uses substantially enhanced version of ZOBOV (Neyinck 2008) to calculate Voronoi tessellation estimating density field performing watershed transform construct voids. Additionally, provides significant functionality both pre-...
The allocation of resources between tasks within a swarm agents can be difficult without centralized controller. Disjunctive control has been shown to viable method the behavior swarm. In this project, disjunctive fuzzy system is used solve problem resource management. A multi-state evolved with an offline learning algorithm adapt dynamic scenario multiple objectives. Some emergent behaviors developed through evolutionary were state-switching and recruitment techniques.
The decomposition of an electromyographic (EMG) signal is the separation complex into its constituent motor units' action potentials (MUAPs). goal this work to achieve real-time interpretation MUAPs. Traditional approaches are relatively successful but suffer from drawback being slow and often requiring human intervention. Our attempts overcome these problems in two stages. (1) Use traditional methods where appropriate, speed up processing. We currently developing a multiprocessor array...
Coordinating the dynamics of large groups, or swarms, autonomous underwater vehicles in order to search a given target area can be difficult due plurality system, environmental com- plications, and prolonged indefinite duration patrol. This paper examines use swarm inversion optimize behavioral agents patrol with morphological constraints. In partic- ular, range forward-looking sensor varies spatially, requiring more time dark areas maintain high level surveillance. results tradeoff between...
This paper investigates the use of fuzzy logic as a tool to fuse sensed and communicated data from multiple pursuers in pursuit problem, improve individual pursuer's target tracking. An intuitive approach enables development inference system (FIS) pursuers' information. To show that FIS aids pursuit, simulation models sensor uncertainty movement targets pursuers. The shows introduction yields faster mean capture times all with simpler trajectories compared baseline algorithm.