A theoretical model of avian flight is developed which simulates wing motion through a class of methods known as predictive simulation. This approach uses numerical optimization to predict power-optimal kinematics of avian wings in hover, cruise, climb and descent. The wing dynamics capture both aerodynamic and inertial loads. The model is used to simulate the flight of the pigeon, Columba livi...

prior experimental and theoretical background of the banki water turbine has been briefly presented. theoretical values of unit quantities have been compared with published experimental data as well as data obtained in the hydraulic lab at the university of tehran; from which, shortcomings of the existing theory in predicting the turbine performance has been highlighted. factors responsible for...

Financial failure prediction models have been developed by using Logistic Regression (LR) analysis from traditional statistical methods and Data Envelopment Analysis (DEA), which is a mathematically based nonparametric method over the financial reports of the companies traded in The Istanbul Stock Exchange National 100 Index (BIST 100) between the years 2014-2016. In the development of these mo...

The traditional measure of market power is the HHI, which gives implausible results given the low elasticity of demand in electricity spot markets, unless it is adapted to take account of contracting. In its place the Residual Supply Index has been proposed as a more suitable index to measure potential market power in electricity markets, notably in California and more recently in the EU Sector...

We present a new statistical model for predicting discrete events continuously in time, called Reactive Point Processes (RPP’s). RPP’s are a natural fit for many domains where time-series data are available, and their development was motivated by the important problem of predicting serious events (fires, explosions, power failures) in the underground electrical grid of New York City (NYC). RPP’...