Aerodynamic loads and moments on a naval patrol vessel are investigated using computational fluid dynamic simulations based on the OpenFOAM solver.After the initial turbulence, time, and grid dependency study, model scale simulations were performed for a wide range of inflow angles to predict Double Gas Oven aerodynamic forces and moments acting on

The use of renewable energy implies a more variable supply of power.Market efficiency may improve if demand can absorb some of this variability by being Camera more flexible, e.g.by responding quickly to changes in the market price of power.To learn about this, in particular, whether demand responds already within the same day, we suggest an econom

Cigarettes are commonly sold in packs of 20 units and therefore little is known about the potential impact of pack size on consumption.Using insights from behavioral economics, we suggest that cigarette packs smaller than the standard size may help some smokers cut back and/or quit, consistent with their long-term goals.Results from an online hypot

We develop a novel method based on Deep Convolutional Networks (DCN) to automate the identification and mapping of fracture and fault traces in optical images.The method employs two DCNs in a two players Ingredient Bins game: a first network, called Generator, learns to segment images to make them resembling the ground truth; a second network, call

Abstract Extensive research on the multi-bridge extension of cascaded rectifier stages BURRITO GF BEAN RICE is deemed important to meet the requirements of high-voltage and high-power applications.Two control structures for capacitor voltage balancing in cascaded rectifier stages are analyzed in this paper.On this basis, the balance strategy for th