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We report the first InP HBT MMIC power amplifier chip results at K-band. A 21 GHz fully monolithic 2 mil InP HBT power MMIC which achieves 62.8% PAE with 10 dB gain and 20 dBm output power. A higher power MMIC at 18.5 GHz achieved 25 dBm output power with 40% PAE at 1 dB compression under class AB operation with no noticeable gain expansion. The MMIC has(More)
We present an interactive system for physical exercise of older people and provide results of a usability study with target user group. The system motivates an elderly person to do regular physical activity based on an easy exercise in a monitored environment without a direct supervision from care-givers. Our system employs multi-modal interface including(More)
We develop novel methods of incremental learning based on the bagging and boosting approaches to ensemble learning. Our method combines perceptron decision trees obtained with a margin maximizing algorithm into an ensemble in an incremental way. We demonstrate practical functionality of our algorithm on the task of ECG records classification. Our results(More)
HMMs are the dominating technique used in speech recognition today since they perform well in overall phone recognition. In this paper, we show the comparison of HMM methods and machine learning techniques, such as neural networks, decision trees and ensemble classifiers with boosting and bagging in the task of articulatory-acoustic feature classification.(More)
In the framework of the 5 th EU-FWP project ECORA the capabilities of CFD software packages for simulating flows in the containment of nuclear reactors was evaluated. Four codes were assessed using two basic tests in the PANDA facility addressing the transport of gases in a multi-compartment geometry. The assessment included a first attempt to use Best(More)
Generally speech recognition systems make use of acoustic features as a representation of speech for further processing. These acoustic features are usually based on human auditory perception or signal processing. More recently, Articulatory Feature (AF) based speech representations have been investigated by a number of speech technology researchers.(More)
Generally speech recognition systems make use of acoustic features as a representation of speech for further processing. These acoustic features are usually based on human auditory perception or signal processing. More recently , Articulatory Feature (AF) based speech representations have been investigated by a number of speech technology researchers.(More)
This paper presents simulations of the convective boiling flow performed with NEPTUNE_CFD and FLUENT codes. The DEBORA experiments carried out at CEA Grenoble were used as an experimental data set. In these experiments, freon R12 flows upwards inside a vertical pipe. Radial profiles of the flow variables are measured at the end of the heated section. Seven(More)
A typical speech recognition system uses acoustic features to represent speech for its processing. Recently, articulatory features were introduced to serve the same purpose. They are motivated by linguistic knowledge and may therefore provide better or complementary representation of speech signal. We present research on recognition of such articulatory(More)