A mathematical model is developed for calculating liquid sloshing effects such as hydrodynamic pressures and forces in half-full spherical containers under arbitrary external excitation. The velocity potential is expressed in a series form, where each term is the product of a time function and the associated spatial function. Because of the spherical configuration, the problem is not separable ...

The prediction of fill levels in stormwater tanks is an important practical problem in water resource management. In this study state-of-the-art CI methods, i.e. Neural Networks (NN) and Genetic Programming (GP), are compared with respect to their applicability to this problem. The performance of both methods crucially depends on their parametrization. We compare different parameter tuning appr...

In this work thermal runaway of cumene hydroperoxide (CHP) in a storage tank with constant jacket temperature is considered. The divergence method developed by Strozzi and Zaldivar (1994) based on the concept of parametric sensitivity and a runaway criterion focused on a set of critical parameters identified by Velo et al. (1996) have been applied to our system. The results obtained from the co...

A method is proposed in order to calculate the damping effects of viscous fluids in liquid storage tanks subjected to earthquakes. The potential equation of an ideal fluid can satisfy only the boundary conditions normal to the surface of the liquid. To satisfy also the tangential interaction conditions between liquid and tank wall and tank bottom, the potential flow is superimposed by a one-dim...

In this research paper, the concept of hyper-spherical/hyperellipsoidal separability is introduced. Method of arriving at the optimal hypersphere (maximizing margin) separating two classes is discussed. By projecting the quantized patterns into higher dimensional space (as in encoders of error correcting code), the patterns are made hyper-spherically separable. Single/multiple layers of spheric...

| We are applying genetic algorithms to fully connected neural network model of associative memory, We reported elsewhere that random weight matrix evolves to store some number of patterns only by means of a Genetic Algorithm. And we also reported the Genetic Algorithm can enlarge storage capacity of Hebb-rule associative memory. In those two reports, however, we did not mention about the basin...

The objectives of this work are: (a) to present a new system for building heating which is based on underground energy storage, (b) develop mathematical model the system, and (c) optimise performance system. includes Photovoltaic Thermal Hybrid Solar Panels (PVT) panels with cooling, an evacuated solar collector water-to-water heat pump. Additionally, storage tanks, placed underground, are used...

Cleaning up and disposing of approximately 50 years of nuclear waste is the main mission at the U.S. Department of Energy’s Hanford Nuclear Reservation, located in the southeastern part of the state of Washington. A major element of the total cleanup effort involves retrieving, processing, and disposing of radioactive and hazardous waste stored in 177 underground storage tanks. referred to as t...

Video analytics have a wide range of applications and has attracted much interest over the years. While it can be both computationally energy intensive, video greatly benefit from in/ near memory compute. The practice moving compute closer to continued show improvements performance consumption is seeing increasing adoption. Recent advancements in solid state drives (SSDs) incorporated Field Pro...

an elliptical tank cross-section is formulated to explore and optimization method, based on a real-coded genetic algorithm to enhance the roll stability limit of a tank vehicle. a shape genetic algorithm optimization problem is applied to minimize the overturning moment imposed on the vehicle due to c.g. height of the liquid load, and lateral acceleration and cargo load shift . the minimization...