The functioning of the engine in a closed loop with lambda sensor and catalyzer makes the excess air factor to be maintained as close as possible to the value 1=1. Based on an own model, the authors realized an analytical calculation of the indicated diagram. The indicated diagram was also raised on an experimental stand in p-V coordinates, and the real indicated diagram in p-a coordinates. The equations for the thermal processes that take place in the engine have been determined and, after that, these were introduced in a computer. Using these equations, the state parameters in the characteristic points of the engine cycle were calculated.

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This paper presents the validation for a simplified mathematical model of a passenger-car's ABS (Anti-Lock Braking System) for a "quarter-car" planar model was considered: a wheel in rotation movement and a mass in translational movement (the vehicle mass supported by that wheel), in accordance with the continuous improvement of the ABS (anti-lock braking system) operation for the passenger cars. The mathematical model consists in the motion equations of the wheel and "quarter-car" mass and in the equations describing the behaviour of the driver, controller, hydraulic module and brake. The model was transposed in a Matlab-Simulink model, offering the possibility to simulate many times how the ABS works if the constructive parameters, road conditions or driver inputs are changed. To validate a simplified model of a passenger car ABS (Anti-Lock Braking System) for a "quarter-car" planar model were conducted experimental researches in order to determine the braking performance of a vehicle on roads / runways with different adhesion coefficients.

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Abstract. User tracking for gesture recognition, object manipulation and fingerbased interaction within an immersive virtual environment represents challenging problems. The motion capture system is providing the data for the user's motion recognition, but the uncertainty remains in obtaining the exact motion of the user due to the deformations, especially when the markers are attached to the clothes or to the skin. This paper address the question how can this uncertainty be solved, how can be obtained the geometrical parameters of the users based on tracking data. The tracking data obtained from markers cannot be independent and had to satisfy the physical constraint between the different body parts, represented by the joints of the human skeleton. The Bayesian filtering technique provides an efficient way to obtain the distributional estimate of the unknown parameters. The obtained algorithm is well-suited to identifying parameters of articulated models in the presence of noisy data.