Photovoltaic system (PV) is alternate suitable option against conventional source of generating electricity. A typical photovoltaic system produces the electrical energy in terms of voltage and current. PV system is the environmental protection technique as well as saving of the electrical energy. This system reduces the level of chlorofluorocarbons (CFC) in the environment because it restricts...

Capacitive differential pressure sensor (CPS), which converts an input differential pressure to an output current, is extremely used in different industries. Since the accuracy of CPS is limited due to ambient temperature variations and nonlinear dependency of input and output, compensation is necessary in industries that are sensitive to pressure measurement. This paper proposes a framework fo...

The task to compute 3D reconstructions from large amounts of data has become an active field of research within the last years. Based on an initial estimate provided by structure from motion, bundle adjustment seeks to find a solution that is optimal for all cameras and 3D points. The corresponding nonlinear optimization problem is usually solved by the Levenberg-Marquardt algorithm combined wi...

In this work, estimation of high frequency underwater ambient noise spectrum carried out using neural network is reported. The periodic ambient noise data were measured at 5 m depth in Bay of Bengal using omni directional hydrophone. The data were acquired using portable, broadband high frequency data acquisition system. The noise level at high frequencies in the range of 5 kHz to 12 kHz was an...

In this paper a Neural Predictive Controller (NPC) designed to control a broad class of process systems. Neural network identification yields nonlinear global model of the unknown system. LevenbergMarquardt (L-M) optimization method is used to find optimal control signal to minimize future errors of the objective function of predictive controller. Inequality constraints of actuators are added t...

We formulated an approach to estimate parameters of a layered earth model such as interval velocity, reflector depth, and dip by inverting reflected traveltime with constraints on dipping directions and depth to reflectors. We applied the “shooting method” (Lines, Bourgeois and Covey, 1984) to calculate modeled reflection time. We derived an explicit expression of the Jacobian matrix. The effic...

Gradient descent parameter identification methods are typically effective for objective surfaces that are well conditioned, but can result in excessive computational cost or failed convergence when this is not the case. This research presents a novel Regional Conjugate Optimisation (RCO) approach, for parameter identification in three dimensions. The method characterises the objective surface p...