Large-eddy simulation has been used to model the atmospheric boundary layer flowing through a span-wise periodic array of wind turbines. The wind turbines are modelled using a coupled simulation in which the FAST wind turbine simulation code from NREL operates within a CFD environment. The wind turbines are implemented in the flow-field using the actuator sector technique, and operate dynamical...

This paper describes an efficient method for the identification of the melody voice from the frame-wise updated magnitude and frequency values of tone objects. Most state of the art algorithms employ a probabilistic framework to find the best succession of melody tones. Often such methods fail, if there are several musical voices with a comparable strength in the audio mixture. In this paper, w...

In this paper, we present an Internet-scale framework for publishing, browsing, and analyzing real-time sensor data. Existing work assumes a known set of sensors, deployed for a specific application, intended for a group of users who are aware of the application. In contrast, WISE provides a new environment for publishing real-time sensor data, and sharing sensor-based applications with unsolic...

Observation of speech spectrum leads to the fact that speech has a specific spectral fluctuation pattern both along time and frequency. In this paper, we integrate the usage of this nature in a multi-feature approach for voice activity detection. The effect of separating such specific spectral fluctuation using multi-stage HPSS (Harmonic-Percussive Sound Separation) has been analyzed over conve...

Conventional least-squares finite element methods (LSFEMs) for incompressible flows conserve mass only approximately. For some problems, mass loss levels are large and result in unphysical solutions. In this paper we formulate a new, locally conservative LSFEM for the Stokes equations wherein a discrete velocity field is computed that is point-wise divergence free on each element. The central i...

The velocity, volume and variety with which Twitter generates text is increasing exponentially. It is critical to determine latent sub-topics from such tweet data at any given point of time for providing better topic-wise search results relevant to users’ informational needs. The two main challenges in mining subtopics from tweets in real-time are (1) understanding the semantic and the conceptu...

We present a new way to take advantage of the dis-criminative power of Learning Vector Quantization in combination with continuous density hidden Markov models. This is based on viewing LVQ as a non-linear feature transformation. Class-wise quantization errors of LVQ are modeled by continuous density HMMs, whereas the practice in the literature regarding LVQ/HMM hybrids is to use LVQ-codebooks ...

An adaptive fuzzy sliding mode controller (AFSMC) is adopted to reduce the 2D flow-induced vibration of an elastically supported square-section cylinder, free to oscillate in stream-wise andtransverse directions in both lock-in and galloping regions. The AFSMC strategy consists of a fuzzy logic inference system intended to follow a sliding-mode controller (SMC), and a robust control syste...

The work presented in this article aims to the calculation of the aerodynamic characteristics of the NREL phase II rotor that is a horizontal axis downwind wind turbine rotor and which is assumed to stand isolated in the space. The Reynolds averaged Navier-Stokes equations combined with the Spalart-Allmaras turbulence model that describes the three dimensional steady state flow about the wind t...