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In single-phase inverters, the proportional control is paralleled with the repetitive control to improve the dynamic performances. Meanwhile, in order to guarantee the stability of system, the static error cannot be eliminated in this control. This paper proposed an advanced scheme for the repetitive control to achieve zero error tracking. Taking the advantage of comb filtering by using Fourier transform...
With increasing penetration of high performance power electronic devices such as the flexible DC transmission and renewable energy power generation system, the Thevenin equivalent of the power grid at fundamental frequency fails to reflect the actual grid impedance change completely. Considering the practical situation when a large-capacity rectifier is connected to a distribution grid, we derive...
In order to perfectly recover MR image using compressed sensing (CS) with TV-regularization term, one has to minimize ill-conditioned optimization functions on large datasets, which are usually not tractable. To address this problem, we propose a novel algorithm for solving an augmented total variation (TV) regularized model with linear constraints, which can obtain accurate solutions. The classical...
Radio Frequency IDentification(RFID) is one of the most important sensing techniques for Internet of Things(IoT) and RFID systems have been applied to various different fields. But an RFID system usually uses open wireless radio wave to communicate and this will lead to a serious threat to its privacy and security. The current popular RFID tags are some low-cost passive tags. Their computation and...
Field experience indicates that over 90% lightning shielding flashover events occurred on the positive pole of a bipolar UHVDC transmission line. This polarity effect might be related to the corona space charge generated from the HVDC transmission line. The effect of corona space charge has not been taken into account in the existing electro-geometric model (EGM) and leader progression model (LPM)...
In recent years, in-memory key-value storage systems have become more and more popular in solving real-time and interactive tasks. Compared with disks, memories have much higher throughput and lower latency which enables them to process data requests with much higher performance. However, since memories have much smaller capacity than disks, how to expand the capacity of in-memory storage system while...
Aerodynamic roughness length (z0) is one of those important biophysical parameters, which influence energy exchange at the land-atmosphere interface, so it is significant to quantify the z0 accurately. In this paper, a scheme parameterizing land-surface z0 at regional scale has been approached based on multi-resource remote sensing data, including LiDAR and optical remote sensing. Firstly, we retrieved...
One of the main shortcomings of Semantic Web technologies is that there are few user-friendly ways for displaying, browsing and querying semantic data. In fact, the lack of effective interfaces for end users significantly hinders further adoption of the Semantic Web. In this paper, we propose the Semantic Web Portal (SWP) as a light-weight platform that unifies off-the-shelf Semantic Web tools helping...
The model of the blunted cone based on the real scale is presented in this paper. Based on the EM model of the plasma sheath obtained from the results of the hypersonic flow over blunted cone, the propagation characteristics of EM waves interacting with the plasma sheath are calculated by using both the PMM method and the FDTD method. The results show that the propagation characteristics present positive...
Recent trends in wearable applications demand flexible architectures being able to monitor people while they move in free-living environments. Current solutions use either store-download-offline processing or simple communication schemes with real-time streaming of sensor data. This limits the applicability of wearable applications to controlled environments (e.g, clinics, homes, or laboratories),...
To support the unrelenting demand of high spectral efficiency and gigabit data rates driven by fast developing smart applications and internet of things, heterogeneous cellular networks (HCNs) with the multiple-antenna configuration have been presented as promising paradigms. In this paper, the downlink transmission performances of K-tier HCNs with multiple-antenna configurations are analyzed, where...
Based on the scattering property of the building target in synthetic aperture radar (SAR) images, a one-dimensional detector, named ‘range detector’, is proposed for building detection in this paper. This range detector can effectively detect and extract the footprint of the wall of a cuboid building. Then the outline of building can be captured by marching the footprint. Pi-SAR image of Sendai, Japan,...
A new target identification algorithm is presented in this paper. Active contour model approach is applied to obtain the shape of the objects from background. Coherence coefficient criteria derived for polarimetric synthetic aperture radar (SAR) image is then applied to identify the targets we are interested in. Pi-SAR image of cultivation boxes over sea surface was selected to verify the proposed...
Transmit beamforming can be performed to achieve capacity gains by spatially multiplexing multiple users and reduce outages by spatial interference mitigation. In this paper, we investigate the multiuser multiple input single output (MU-MISO) transmission in a two-tier femtocell network where base stations in each tier follow an independent Poisson point process (PPP), and provide insights into the...
Driven by the proliferation of fast developing wireless user equipments, the wireless data traffic is exponentially growing in recent years, especially for indoor and hotspot scenarios. Two-tier femtocell network, comprising a conventional macrocell network with femtocell access points (FAPs), is an effective and economical solution to achieve high network capacity and coverage. However, the downlink...
The electroencephalogram (EEG) signals with different brain states show different nonlinear dynamics. Recently the statistical properties of complex networks theory have been applied to explore the nonlinear dynamics of time series, which studies the dynamics of time series via its organization. This study combines the complex networks theory with epileptic EEG analysis and applies the statistical...
Various sensing systems have been exploited to monitor in-person interactions, one of the most important indicators of mental health. However, existing solutions either require deploying in-situ infrastructure or fail to provide detailed information about a person's involvement during interactions. In this paper, we use smartphones and on-body sensors to monitor in-person interactions without relying...
Body sensor networks (BSNs) have provided the opportunity to monitor energy expenditure (EE) in daily life and with that information help reduce sedentary behavior and ultimately improve human health. Current approaches for EE estimation using BSNs require tedious annotation of activity types and multiple body sensor nodes during data collection and high accuracy activity classifiers during post processing...
Interactive genetic algorithm (IGA), combining a user's intelligent evaluation with the traditional operators of genetic algorithms, are developed to optimize those problems with aesthetic indicators. The evaluation uncertainties and burden, however, greatly restrict the applications of IGA in complicated situations. Surrogate model approximating to the evaluation of the user has been generally applied...
In modern industries, the lack of accurate real-time energy monitoring will lead to energy waste. To address this issue, we propose an effective, reliable and low-cost solution. Our scheme uses XBee-Pro S2 for communications, and provides user-friendly application software based on WPF and controls of NetAdvantage. The application of high performance XBee-Pro S2 modules solves the defects of the traditional...
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