Hyperspectral data consists of three dimensional images;the third dimension is the spectral signature of each pixel. The question always arises: which bands should be used and how should they be weighted. In this pape...
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In an attempt to increase the area utilization of multi-chip packages, manufacturers have started looking at 3D packaging. The 3D structures have either dies or chips stacked one above the other. These 3D structures h...
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This paper presents the multi-band inductor with 0.18 μm CMOS technology on plastic achieves high Q-factor and small size for multiband applications. The multi-band inductor on VLSI-standard Si Substrate is operated ...
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Traditional state estimators based on steady state system model cannot capture the dynamics of power system very well because of the slow updating rate of SCADA systems (several seconds). The emergence of wide-area me...
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ISBN:
(纸本)9781424480463
Traditional state estimators based on steady state system model cannot capture the dynamics of power system very well because of the slow updating rate of SCADA systems (several seconds). The emergence of wide-area measurement systems offers new opportunity for developing more effective methods to monitor power system dynamics online. But due to the nonlinearity of state transition and observation equation, linearization and Jacobian Matrix calculation are indispensible in the existing methods of power system state estimation. This makes WAMS' high performance compromised by burdensome calculation and inaccuracy of the state estimation. In order to overcome the drawbacks, this study tries to develop an effective state estimation method without the linearization and Jacobian Matrix calculation. Firstly, unscented transformation is introduced as an effective method to calculate the means and covariances of a random vector undergoing a nonlinear transformation. Secondly, by embedding the unscented transformation in the Kalman Filter process, a new method is developed for power system dynamic state estimation. Finally, some simulation results are presented showing accuracy and easier implementation of the proposed method.
This paper studies the behavior of three-phase power transformers under various voltage sag conditions. A nonlinear model of a three-phase three-leg transformer based on electric and magnetic circuit topologies is imp...
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ISBN:
(纸本)9780473182366
This paper studies the behavior of three-phase power transformers under various voltage sag conditions. A nonlinear model of a three-phase three-leg transformer based on electric and magnetic circuit topologies is implemented and solved in time-domain using iterative numerical techniques. The corresponding transformer waveforms are computed and analyzed in both the time and frequency domains. Simulations are performed for different voltage sag magnitudes, starting and termination (recovery instant waveform) angles. It is shown that there can be significant distortions in transformer flux and magnetizing current, as well as three-phase output voltages and currents. Furthermore, high levels of voltage sag can severely deteriorate the power quality of input and output current and voltage waveforms.
Data storage technologies have been recognized as one of the major dimensions of information management along with the network infrastructure and applications. The prosperity of cloud computing requires the migration ...
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A background model using image subtraction in an intelligent video surveillance system could make severe errors in detection and tracking of objects due to changes of natural phenomena such as shadows and wind. Adapti...
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Recently, more and more services need high quality bandwidth. In order to satisfy those services, high-speed networks are needed. The Task Force team of IEEE 802.3ah set a standard as Ethernet Passive Optical Network ...
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Combined feedback/feedforward blade pitch control is compared to industry standard feedback control when simulated in realistic turbulent winds. The feedforward controllers are designed to reduce fatigue loads, increa...
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Parallel-channel flow mal-distribution and pressure-drop flow oscillations are two of the most severe dynamic instabilities for boiling flow especially in microchannel systems. This paper presents a framework for the ...
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