The objective of this study was to develop a forecast model to determine the rate of generation of municipal solid waste in the municipalities of the Cuenca del Cañón del Sumidero, Chiapas, Mexico. Multiple linear regression was used with social and demographic explanatory variables. The compiled database consisted of 9 variables with 118 specific data per variable, which were analyzed using a ...

In this paper, a Fuzzy PI Adaptive Learning controller is proposed for a flight control system to control the angle of attack of an aircraft. The proposed controller tracks the reference angle as desired by the pilot of the aircraft. The performance indices are evaluated and the corresponding value is compared with that for the conventional controllers obtained from Zigler Nichols (ZN), Tyreus ...

There are several constants and hyperparameters to be specified in the Bayesian model. To set the GPS position error covariance matrix Σ, we calculate the minimum distance from each GPS location in the data to the nearest arc. Assuming that the error is radially symmetric, that the vehicle was on the nearest arc when it generated the GPS point, and approximating that arc locally by a straight l...

abstract the muskingum method is frequently used to route floods in hydrology. however, application of the model is still difficult because of the parameter estimation’s. recently, some of heuristic methods have been used in order to estimate the nonlinear muskingum model. this paper presents a efficient heuristic algorithm, simulated annealing, which has been used to estimate the three paramet...

The problem of estimating the density-weighted average derivative of a regression function is considered. We present a new consistent estimator based on a plug-in approach and wavelet projections. Its performances are explored under various dependence structures on the observations: the independent case, the ρ-mixing case and the α-mixing case. More precisely, denoting n the number of observati...

Abstract—It is well known that the Analytic Hierarchy Process (AHP) of Saaty is one of the most powerful approach for decision aid in solving of a multi criteria decision making (MCDM) problem. Several computing weights methods in AHP are analyzed. Based on least square method, three methods for calculating weights using the least the sum of squares of error criterion, the least the sum of erro...

This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a tim...

The paper employs Artificial Neural Network (ANN) to forecast foreign exchange rate in India during 1992-2009. We used two types of data set (daily and monthly) for US dollar, British pound, euro and Japanese yen. The performance of forecasting is quantified by using various loss functions namely root mean square error (RMSE), mean absolute error (MAE), mean absolute deviation (MAD) and mean ab...

Existing methods extract facial expression parameters from captured expressions data in two steps. First, head absolute orientation is acquired, the captured expression is then transferred from world coordinates to local coordinates. Second, expression parameters are extracted from local coordinate data. However, above methods results to severe error accumulation. In the second step, the error ...