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Browsing by Author "Crespo, Jonah"
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Item Asset Allocation with Swarm/Human Blended Intelligence(IEEE, 2016-10) Christopher, Lauren; Boler, William; Wieczorek, Calvin; Crespo, Jonah; Witcher, Paul; Hawkins, Scot A.; Stewart, James; Department of Electrical and Computer Engineering, School of Engineering and TechnologyPSO has been used to demonstrate the near-real-time optimization of frequency allocations and spatial positions for receiver assets in highly complex Electronic Warfare (EW) environments. The PSO algorithm computes optimal or near-optimal solutions so rapidly that multiple assets can be exploited in real-time and re-optimized on the fly as the situation changes. The allocation of assets in 3D space requires a blend of human intelligence and computational optimization. This paper advances the research on the tough problem of how humans interface to the swarm for directing the solution. The human intelligence places new pheromone-inspired spheres of influence to direct the final solution. The swarm can then react to the new input from the human intelligence. Our results indicate that this method can maintain the speed goal of less than 1 second, even with multiple spheres of pheromone influence in the solution space.Item Design of a Highly Efficient Microinverter(IEEE, 2016-06) Nezamuddin, Omar; Crespo, Jonah; dos Santos, Euzeli C., Jr.; Department of Electrical and Computer Engineering, School of Engineering and TechnologyThis paper proposes a grid-tied single-phase photovoltaic (PV) microinverter consisting of five-level four-switch (5L-4S) DC-AC converter fed by an isolated fly-back DC-DC converter. The microinverter utilizes a split-coil inductor to produce five levels of pulse width modulation (PWM) compared to the three levels of PWM using conventional four-switch topologies. These implementations reduce losses by up to 39% compared to a conventional topology. The results show that the proposed design improves performance throughout the switching frequency spectra with various loads. The theoretical expectations are validated with simulation and experimental results.Item Human Fitness Functions(IEEE, 2015-09) Christopher, Lauren; Reynolds, Joshua; Crespo, Jonah; Eberhart, Russ; Shaffer, Patrick; Department of Electrical and Computer Engineering, School of Engineering and Technology"Be careful what you measure" is a management adage that applies to Particle Swarm Optimization (PSO) and is especially important with Humans in the Swarm. PSO has been applied to the autonomous asset management problem in electronic warfare where the speed provides fast optimization of frequency allocations for receivers and jammers in highly complex and dynamic environments in our previous work. In this optimization problem, one key part of the fitness is adapted by the human: the 2D (and future 3D) battlefield environment. This paper explores the use of the human in the fitness function, adapting to the battlefield conditions as the PSO is acting. Two aspects of dynamic human influence will be discussed: Simple geometric zones and pheromone influenced zones.