Shear horizontal wave propagation in periodically layeredcomposites

The transverse resonance approach to guided wave analysis is applied to shear horizontal (SH) wave propagation in periodically layered composites. It is found for SH waves that at high values of the guided wavevector β, the wave energy is trapped in the slower of the two media and propagates accordingly at the slower wavespeed. At low values of β, however, the modes demonstrate a clustering behavior, indicative of the underlying Floquet wave structure. The number of modes in a cluster is observed to correlate with the number of unit cells in the layered plate. New physical insights into the behavior of these systems are obtained by analyzing the partial waves of the guided SH modes in terms of Floquet waves. We show that the fast and slow shear waves in the periodically layered composite play an analogous role to the longitudinal and shear partial waves comprising Lamb waves in a homogeneous plate     

Applications of one-cycle control to improve the interconnection of a solid oxide fuel cell and electric power system with a dynamic load

Adding distributed generation (DG) is a desirable strategy for providing highly efficient and environmentally benign services for electric power, heating, and cooling. The interface between a solid oxide fuel cell (SOFC), typical loads, and the electrical grid is simulated in Matlab/Simulink and analyzed to assess the interactions between DG and the electrical grid. A commercial building load profile is measured during both steady-state and transient conditions. The load data are combined with the following models that are designed to account for physical features: a One-Cycle Control grid-connected inverter, a One-Cycle Control active power filter, an SOFC, and capacitor storage. High penetration of DG without any power filter increases the percentage of undesirable harmonics provided by the grid, but combined use of an inverter and active power filter allows the DG system interconnection to improve the grid tie-line flow by lowering total harmonic distortion and increasing the power factor to unity.     

Transient ischemic attacks not produced by extracranial vascular disease: a plea for complete and early angiographic investigation

Six patients with classical transient ischemic attacks that were not directly related to extracranial carotid disease are presented. These cases were selected to include a variety of pathologic conditions: one case each of brain tumor, arteriovenous malformation, chronic subdural hematoma, cervical spondylosis, and two cases of giant intracranial aneurysms. These case histories are significant because they illustrate that without complete angiographic investigation, tragic results could have and did occur in some cases. Transient ischemic attacks should be considered as a symptom of various possible pathologic conditions, and a careful search for the cause must be pursued aggressively.     

Bayesian Neural Networks for Internet Traffic Classification

Internet traffic identification is an important tool for network management. It allows operators to better predict future traffic matrices and demands, security personnel to detect anomalous behavior, and researchers to develop more realistic traffic models. We present here a traffic classifier that can achieve a high accuracy across a range of application types without any source or destination host-address or port information. We use supervised machine learning based on a Bayesian trained neural network. Though our technique uses training data with categories derived from packet content, training and testing were done using features derived from packet streams consisting of one or more packet headers. By providing classification without access to the contents of packets, our technique offers wider application than methods that require full packet/payloads for classification. This is a powerful advantage, using samples of classified traffic to permit the categorization of traffic based only upon commonly available information     

Electro-optic sampling measurement of coplanar waveguide (coupled slot line) modes

The application of the electro-optic sampling technique for the characterisation of propagating modes of planar guiding structures on GaAs is described. The characteristics of even and odd modes of coplanar waveguide on semi-insulating GaAs substrate are investigated. The guide wavelength for each mode is directly obtained from standing wave measurements by electro-optic sampling, and compared to the theoretical values.     

Applications of time lens optical systems

The first demonstration is presented of the time reversal and jitter suppression properties of a time lens optical system designed to actively control the temporal aspect of optical pulses.<>