We present the Time Lag/Delay Reconstructor (TLDR), an algorithm for reconstructing velocity delay maps in Maximum A Posteriori framework reverberation mapping. Reverberation mapping is a tomographical method studying kinematics and geometry of broad-line region active galactic nuclei at high spatial resolution. Leveraging modern image reconstruction techniques, including Total Variation Compre...

Virtual reality has been demonstrated to be very useful in the visualization of science and the synthesis of vast amounts of data Further advances in high speed networks make feasible the coupling of supercomputer simulations and virtual environments The critical performance issue to be addressed with this coupling is the end to end lag time i e the delay between a user input and the result of ...

References [1] D. Trivedi, C. D. Rahn, W. M. Kier and I. D. Walker, “Soft robotics: Biological inspiration, state of the art, and future research,” Applied Bionics and Biomechanics, vol. 5 (3), 2008, pp 99-117. [2] G. Sumbre, Y. Gutfreund, G. Fiorito, T. Flash and B. Hochner, “Control of Octopus Arm Extension by a Peripheral Motor Program,” Science, vol. 293, 2001, pp 1845–1848. [3] Y. Yekutiel...

We recently introduced a design methodology for the stabilization of nonlinear systems with input and state delays that depend on the current state of the plant. In the present paper we consider nonlinear horizon and the delay depend on the state of the plant, the key design challenges are how to compute the predictor state and the delay (since the delay needs to be available in order to comput...

the purpose of this research was to prepare a floating matrix tablet containing domperidone as a model drug. polyethylene oxide (peo) and hydroxypropyl methylcellulose (hpmc) were evaluated for matrix-forming properties. a simplex lattice design was applied to systemically optimize the drug release profile. the amounts of peo wsr 303, hpmc k15m and sodium bicarbonate were selected as independen...

Recurrent neural networks have been established as a general tool for tting sequential input=output data. On the other hand, Fourier analysis is a useful tool for time series analysis. In this paper, these two elds are linked together to form a new interpretation to recurrent networks for time series prediction. Fourier analysis of a time series is applied to construct a complex-valued recurren...

In this paper a time domain recursive digital filter model, based on recurrent neural network is proposed. This problem can be considered as a training procedure of two layer recurrent neural network. The proposed neural network training algorithm is based on determination of the sensitivity coefficients of the recurrent system. The dynamic model of two layer recurrent neural network described ...