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Moving seawater through geomagnetic field can evoke a distribution of weak electric currents in the medium, which may generate a measurable magnetic field. The velocity vector of moving seawater can be resolved by using the ship wave theory, and the induced magnetic field can be evaluated by solving the Maxwell equations. Simulation results show that the induced magnetic field by the wake of a typical...
Process of configuration and fault scan is required to be repeated many times before all resources of a FPGA-under-test are tested and diagnosed. Both FPGA test system and test schemes have been studied and presented in the keynote. Construction of the in-house developed FPGA test system is based on SOC HW/SW co-verification technology. Algorithms for FPGA test and diagnosis covering all FPGA resources...
Unsupervised clustering of objects is often needed for image and video summarization, tracking and segmentation. Shape, as fundamental representation of objects, is hard to do clustering task since usual clustering algorithms need quantitative features which are very hard to extract in shapes. In this paper, we proposed a novel approach to shape clustering. To overcome the difficulty of extracting...
Natural image matting is one of the major challenges in modern image editing, whose goal is to estimate fractional opacity of foreground layer from an image and recover the colors of the foreground/background layers respectively. Most of existing methods require complicated mathematics computation and are implemented on a single processor. The closed-form matting [1] is relatively faster and more...
This paper presents a novel approach to hierarchical shape classification. We combine two shape features: contour and skeleton. Weights of two features are learned through large-margin optimization. The proposed approach uses a shape tree to efficiently represent the similarity of different shape classes. The tree is generated offline by a bottom-up clustering approach using stochastic optimization...
In this paper, two new spectra?? canonical relizations are developed for the class of time-varying Scalar Linear Dynamical Systems (SLDS) of the form: y(n)+??n(t)y(n-1)+...+??2(t)??+ ??1(t)y=??(t)u(n)+??n(t)u(n-1)+...+ ??2(t)u??+??1(t)u, and the class of completely controllable time-varying Vector Linear Dynamical Systems (VLDS) of the form: x??=A(t)x+b(t)u, y=C(t)x+d(t)u, where A(t), b(t), C(t) and...
In a series of recent papers [11], [12], the new notions of ED-eigenvalues, D-spectra, D-characteristic equation, and D-similarity transformations were introduced for (time-varying) Vector Linear Dynamical Systems (VLDS) of the form ??= A(t)x and Scalar LDS (SLDS) of the form y(n) + ??nk=1 ??k(t)y(k-1)=0. The present paper establishes several fundamental features of D-similarity classes of (time-varying)...
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