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A novel discrete sinusoidal signal integrator (DSSI) structure is proposed in this paper for single grid-tied inverters. The DSSI provides an adjustable gain and bandwidth at the expected frequency and a highly attenuated gain at other frequencies which make the DSSI based controllers obtain the zero steady-state error tracking performance of arbitrary frequencies. The performance of the conventional...
Although the hybrid switch consisting of high power Si IGBT and low power SiC MOSFET achieves reduction of losses and cost, there is a severe concern of its short-circuit capability due to its internal SiC MOSFET with small die size. Experimental study shows that the short-circuit capability of hybrid switch is limited by that of SiC MOSFET. The physical mechanism of short-circuit capability of SiC...
Aim at large aircraft power supply which use variable frequency ac power supply and has complex power system structure, the parameters test system needs to store the large amount of data, puts forward a data storage strategy based on the system time; To meet the testing requirements of voltage phase difference, three-phase voltage unbalance and other characteristic parameters, the article designs...
Medium-low speed maglev, as a form of urban rail transportation system, has already drawn a lot of attention from researchers and engineers for its advantages of low noise, strong climbing ability and flexible route planning. The train positioning system, as a matter of fact, is a very important part in operation and control system (OCS) of medium-low speed maglev transportation, for it collects real-time...
Aiming at the loss of angle information and detection accuracy of traditional radar system, the paper puts forward the Network Radar Countermeasure System active, passive and integrated anti-stealth detection model. The model, which is based on single-bistatic equivalent principle and simplification model of RCS, combines the advantages of bistatic radar, netted radar, MIMO radar, passive radar, etc...
Accurate registration plays a critical role in group-wise functional Magnetic Resonance Imaging (fMRI) image analysis, as spatial correspondence among different brain images is a prerequisite for inferring meaningful patterns. However, the problem is challenging and remains open, and more effort should be made to advance the state-of-the-art image registration methods for fMRI images. Inspired by...
The problem of the scattering of SH-waves by a shallow cylindrical cavity in inhomogeneous half-space is discussed in this paper. Methods of complex function and multi-polar coordinate system are adopted to solve the problem of dynamic stress concentration factor. Based on the conformal mapping technique, the Helmholtz equation with variable coefficients is transferred into its standard form. Besides,...
With the development of Internet technology and the explosive increase of network information, how to extract specific and useful information in an automatic or semi-automatic way become a problem. There is a large number of different forms of bilingual corpus and different quality on the Internet. How to extract a large number of high quality corpus from the Internet has become a more and more important...
With the growing number of audio excerpts through various media and distribution channels, advanced audio analysis approaches have received significant interest in the multimedia field. However, current audio analysis approaches are still far from satisfactory due to the semantic gaps between the low-level acoustic features and high-level semantics perceived by human brain. In order to alleviate the...
Identification of concurrent spatially overlapping functional networks and understanding of their mechanisms of jointly realizing the total brain function have been important yet challenging problems. In this work, we have applied a datadriven sparse representation framework to learn a dictionary consisting of multiple network components and their associated weight coefficients from a given fMRI dataset...
As brain imaging data such as fMRI is growing explosively, how to reduce its size but not to lose much information becomes a pressing problem. To address this problem, this work aims to represent resting state fMRI (rs-fMRI) signals of a whole brain via a statistical sampling based sparse representation. Specifically, we improve the online dictionary learning and sparse coding algorithm by adding...
Recently, it has been shown that structural connectivity patterns derived from diffusion MRI (dMRI) can be used for cortical parcellation and segmentation. However, most previous methods were based on diffusion tractography, which is limited in depicting local profiles, e.g., in regions beneath the cortical sulcal fundi. Instead, in this paper, we propose to derive effective features directly from...
A relatively underexplored question in fMRI is whether there are intrinsic differences in terms of signal composition patterns that can effectively characterize and differentiate task-based and resting state fMRI (tfMRI or rsfMRI) signals. In this paper, we propose a novel two-stage sparse representation framework to examine the fundamental difference between tfMRI and rsfMRI signals. In the first...
Assessment of structural connectivity patterns of macaque brains may hold the key to understanding mechanism of cortical convolution and brain function. Therefore, lots of interests have been attracted to analyze axonal pathways via up-to-date techniques, such as tract-tracing data, which is taken as ‘gold standard’ to estimate trustworthy meso-scale pathways and diffusion MRI (e.g., DTI), from which...
With the development of value-added services in cable digital TV, user behavior analysis has important practical significance in improving stickiness and implementation of personalized marketing. Based on real viewing data collected by software in set-top box, this paper adopts clustering method to analyze viewing habit in a particular region of Shanxi Province. The results show that the prime time...
Distributed shipborne over the horizon radar (DS-OTHR) is a new radar detection system that becomes a new research direction of shipborne OTHR. Array reconstruction and signal reconstruction are the key techniques in the radar system. Reasonable reconstruction for moving distributed radar receiving subarrays can realize accurate measurement of target. In this letter, we propose an interpolation approach...
Under certain sea state, the sea wave will lead to the ship oscillation when the ship is sailing on the sea. The influence that the ship oscillation has on the target echo is usually discarded when simulating the target in shipborne HFSWOTHR. In this paper, the characteristic of ship oscillation is analyzed, including rolling, pitching and yawing. The model of the ship oscillation is set up. The concept...
Bone defect repair is a significant clinical challenge in orthopedic surgery. Despite tremendous efforts, the majority of the current bone tissue engineering strategies depend on bone formation via intramembranous ossification (IO), which often results in poor vascularization and limited-area bone regeneration. Recently, there has been increasing interest in exploring bone regeneration through a cartilage-mediated...
Construction and modeling of structural and functional connectomes from neuroimaging data have shown great promise in elucidating the fundamental architectures of the human brain. In this paper, we present a novel framework to optimize large-scale cortical landmarks by maximizing the structural connectome agreement across a group of subjects and then use group-wise consistent connectome as an effective...
In natural stimulus fMRI during video watching, it is natural to postulate that a human participant's attention system would respond to shot changes of the video stream. However, quantitative assessment of the relationship between the functional activities of the attention system and the dynamics of video shot changes has been rarely explored yet. This paper presents a novel framework for modeling...
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