
The paper introduces an analytical approach to predict the no-load flux density spatial repartition of inner permanent magnet tubular-linear synchronous machines (IPM T-LSMs). It considers a trapezoidal waveform whose maximum value is predicted using a simple magnetic equivalent circuit of an elementary part of the machine. Then, the accuracy of the proposed approach is enhanced by the incorporation of a mover permeance function that accounts for the PM luxconcentrating arrangement.
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This work focuses on using the full potential of PV inverters in order to improve the efficiency of low voltage networks. More specifically, the independent per-phase control capability of PV three-phase four-wire inverters, which are able to inject different active and reactive powers in each phase, in order to reduce the system phase unbalance is considered. This new operational procedure is analyzed by raising an optimization problem which uses a very accurate modelling of European low voltage networks.
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This pdf file contains supplementary information to a published article, "Early Warning of mmWave Signal Blockage and AoA Transition Using sub-6 GHz Observations," by Ziad Ali, Alexandra Duel-Hallen and Hans Hallen, published in IEEE Communications Letters, 2019.
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The dataset contains high-resolution microscopy images and confocal spectra of semiconducting single-wall carbon nanotubes. Carbon nanotubes allow down-scaling of electronic components to the nano-scale. There is initial evidence from Monte Carlo simulations that microscopy images with high digital resolution show energy information in the Bessel wave pattern that is visible in these images. In this dataset, images from Silicon and InGaAs cameras, as well as spectra, give valuable insights into the spectroscopic properties of these single-photon emitters.
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The DFT and FFT are used mainly to obtain the amplitude of a harmonic component from a periodic signal containing several harmonics. For instance, it is desired to know the 180 Hz harmonic amplitude from a signal. Then, the DFT and FFT are the best choices to do that.
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These datasets are of the hydraulically actuated robot HyQ’s proprioceptive sensors. They include absolute and relative encoders, force and torque sensors, and MEMS-based and fibre optic-based inertial measurement units (IMUs). Additionally, a motion capture system recorded the ground truth data with millimetre accuracy. In the datasets HyQ was manually controlled to trot in place or move around the laboratory. The sequence includes: forward and backwards motion, side-to-side motion, zig-zags, yaw motion, and a mix of linear and yaw motion.
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GENERATION OF MODE SELECTION PROBABILITY - SINGLE RATE CASE, IMPORTANCE OF DIRECT PATH, COMPARISON WITH CONVENTIONAL INCREMENTAL SCHEME
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Malignant pleural effusions (MPEs) are a challenging public health problem, causing significant morbidity and often being the first presenting sign of cancer. Pleural fluid cytology is the most common method used to differentiate malignant from non-malignant effusions. However, its sensitivity reaches 50-70% and depends on the experience of the cytologist, the tumor load, and the amount of fluid tested. Therefore, diagnostic inaccuracy and a high incidence of false negatives may endanger patients with clinical mistreatment and mismanagement.
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