Transient dynamics of cylinders under wave slamming

Large diameter slender cylindrical shells used as buoyancy chambers and support legs for compliant marine structures experience a variety of impact loadings which could induce significant levels of dynamic response. By examining the response of a typical range of cylindrical shell geometries to a simulation of the impact loading typical of wave slamming, the paper examines the likely levels and practical significance of the transient dynamic response. It shows that the levels of dynamic response are sufficiently severe to have important implications for the triggering of buckling and fatigue collapse characteristics. It is suggested that this phenomenon requires additional more-detailed consideration, including the provision of reliable predictions of transient slam pressure distributions and the levels and forms of hydrodynamic damping, as well as the effects of more practical shell and stiffening geometries, and ambient stress levels.     

An EM-based identification algorithm for a class of hybrid systems with application to power electronics

In this paper we present an identification algorithm for a class of continuous-time hybrid systems. In such systems, both continuous-time and discrete-time dynamics are involved. We apply the expectation-maximisation algorithm to obtain the maximum likelihood estimate of the parameters of a discrete-time model expressed in incremental form. The main advantage of this approach is that the continuous-time parameters can directly be recovered. The technique is particularly well suited to fast-sampling rates. As an application, we focus on a standard identification problem in power electronics. In this field, our proposed algorithm is of importance since accurate modelling of power converters is required in high- performance applications and for fault diagnosis. As an illustrative example, and to verify the performance of our proposed algorithm, we apply our results to a flying capacitor multicell converter.     

Exploiting User Interests to Characterize Navigational Patterns in Web Browsing Assistance

In order to be capable of exploiting context for pro-active information recommendation, agents need to extract and understand user activities based on their knowledge of the user interests. In this paper, we propose a novel approach for context-aware recommendation in browsing assistants based on the integration of user profiles, navigational patterns and contextual elements. In this approach, user profiles built using an unsupervised Web page clustering algorithm are used to characterize user ongoing activities and behavior patterns. Experimental evidence show that using longer-term interests to explain active browsing goals user assistance is effectively enhanced.

Interactive smart battery storage for a PV and wind hybrid energy management control based on conservative power theory

This paper presents interactive smart battery-based storage (BBS) for wind generator (WG) and photovoltaic (PV) systems. The BBS is composed of an asymmetric cascaded H-bridge multilevel inverter (ACMI) with staircase modulation. The structure is parallel to the WG and PV systems, allowing the ACMI to have a reduction in power losses compared to the usual solution for storage connected at the DC-link of the converter for WG or PV systems. Moreover, the BBS is embedded with a decision algorithm running real-time energy costs, plus a battery state-of-charge manager and power quality capabilities, making the described system in this paper very interactive, smart and multifunctional. The paper describes how BBS interacts with the WG and PV and how its performance is improved. Experimental results are presented showing the efficacy of this BBS for renewable energy applications.     

Incremental Learning of Skills in a Task-Parameterized Gaussian Mixture Model

Programming by demonstration techniques facilitate the programming of robots. Some of them allow the generalization of tasks through parameters, although they require new training when trajectories different from the ones used to estimate the model need to be added. One of the ways to re-train a robot is by incremental learning, which supplies additional information of the task and does not require teaching the whole task again. The present study proposes three techniques to add trajectories to a previously estimated task-parameterized Gaussian mixture model. The first technique estimates a new model by accumulating the new trajectory and the set of trajectories generated using the previous model. The second technique permits adding to the parameters of the existent model those obtained for the new trajectories. The third one updates the model parameters by running a modified version of the Expectation-Maximization algorithm, with the information of the new trajectories. The techniques were evaluated in a simulated task and a real one, and they showed better performance than that of the existent model.     

Quantum statistical foundation to the fermi liquid model and Ginzburg-Landau wave function

An energy eigenvalue equation for a quasi-particle is derived, starting with the Heisenberg equation of motion for an annihilation operator. An elementary derivation of the Fermi liquid model having a sharply defined Fermi surface in thek-space is given, starting with a realistic model of a metal including the Coulomb interaction amongand between electrons and lattice-ions. The Ginzburg-Landau wave function (r), where represents the superconducting pairon (Cooper-pair) state, is shown to be connected with the one-pairon density operatorn by (r) = r¦_n ^1/2¦. A close analogy between supercurrent and laser is indicated.On sabbatical leave from Department of Physics and Astronomy, State University of New York at Buffalo, Buffalo, New York.     

Confined acoustic phonons in ultrathin SOI layers

We try to reproduce experimental mobility curves in ultrathin silicon-on-insulator inversion layers using a Monte Carlo simulator and a bulk model for the electron scattering with acoustic phonons. While it is possible to reproduce the experimental behavior for the thicker samples, the electron mobility is strongly overestimated when the thinnest samples are considered. The mobility curves for the thinnest samples can be reproduced using the same model if the deformation potential parameter increases as the silicon thickness decreases. This fact shows that acoustic phonons are also confined in ultrathin silicon on insulator layers. We then study confined phonons in single and three layer structures in order to give a physical motivation to the increase of acoustic phonon scattering rate for in ultrathin silicon layers.     

Comparison Between Non-Equilibrium Green's Function and Monte Carlo Simulations for Transport in a Silicon Quantum Wire Structure

We present comparisons of simulations conducted with non-equilibrium Green's functions and Monte Carlo approaches. As prototype, we consider an idealized silicon quantum wire structure, consisting of a conduction channel of rectangular cross-section, terminated by two contacts. The Monte Carlo model treats the particles as semi-classical, but distributed over up to seven subbands and with scattering model similar to the one used for the Green's functions model. Results for drift velocity under various field conditions agree very closely using the two techniques, suggesting that particle simulation may continue to be a useful physical investigation tool at the nanoscale with an appropriate introduction of the most important quantum features of the transport.     

Accurate Deterministic Numerical Simulation of p-n Junctions

In this work some variants of a deterministic simulation of p-n junctions are considered. From a mathematical point of view, this will be done by means of the numerical resolution of the corresponding Boltzmann transport’s equations (BTE’s): one for the electrons and another one for the holes, coupled by the Poisson equation for the potential, from which the electric field is calculated. In order to improve the efficiency of the Finite-Difference Weighted Essentially Non-Oscillatory (FD-WENO) code, we will consider the two transport equations in the depletion zone and only the corresponding BTE equation for the majority carrier in each one of the neutral zones, instead of solving the two BTE’s in the entire length of the device.