No abstract

Accurate estimation of the motion and shape of a moving object is a challenging task due to great variety of noises present from sources such as electronic components and the influence of the external environment, etc. To alleviate the noise, the filtering/estimation approach can be used to reduce it in streaming video to obtain better estimation accuracy in feature points on the moving objects. To deal with the filtering problem in the appropriate nonlinear system, the extended Kalman filter (EKF), which neglects higher-order derivatives in the linearization process, has been very popular. The unscented Kalman filter (UKF), which uses a deterministic sampling approach to capture the mean and covariance estimates with a minimal set of sample points, is able to achieve at least the second order accuracy without Jacobians’ computation involved. In this paper, the UKF is applied to the rigid body motion and shape dynamics to estimate feature points on moving objects. The performance evaluation is carried out through the numerical study. The results show that UKF demonstrates substantial improvement in accuracy estimation for implementing the estimation of motion and planar surface parameters of a single camera.

No abstract

No abstract

Optimization of the process of the fine hydro-blanking is proposed. In this approach, the V-ring indenter carved on the work piece substitutes for the guide plate that is used by the conventional fine blanking and is pressurized by hydraulic pressure. In addition, the counter force is also replaced by hydraulic pressure to produce a uniform back-pressure by acting as the ejector. To find the final optimal solution, the Taguchi-FE method is adopted to simulate and find the optimal factors according to the Taguchi technology. Once the optimal factors were chosen, a hybrid system that combined the artificial neural network (ANN) with the genetic algorithm (GA) is used to search and find the final optimal solution. It was observed that the V-ring cavity on the work-piece has the same efficacy as conventional fine blanking. In addition, the results of the experiment and finite element simulation using the optimal factors were compared. It was found that the study could achieve its stated objectives.