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A stochastic electromagnetic-circuit modeling workflow is presented for the computer-aided analysis of electromagnetic interference effects in multi-scale, shielded environments. The multi-scale complexity of the environment is tackled through the selective relaxation of the full electromagnetic coupling between different sub-domains when appropriate. The Stochastic Collocation technique is relied...
This paper proposes a static-dynamic hybrid malware detecting scheme for Android applications. While the static analysis could be defeated by transformation technique sometimes and dynamic analysis needs a high complexity, the suggested methods can automatically deliver an unknown App to static or dynamic analysis path according to whether the Android App can be decompiled(its feature) which overcomes...
In this paper, we propose algorithms for computing Walsh-Hadamard transform with arbitrary K-sparse support. When K is sublinear in the dimension N of the time-domain signal, the algorithms achieve vanishing error probability as K increases without bound and involve sublinear computational complexity. Specifically, under the noiseless setting, an algorithm based on random hashing and successive cancellation...
<?Pub Dtl?>This paper proposes a decoder architecture for low-density parity-check convolutional code (LDPCCC). Specifically, the LDPCCC is derived from a quasi-cyclic (QC) LDPC block code. By making use of the quasi-cyclic structure, the proposed LDPCCC decoder adopts a dynamic message storage in the memory and uses a simple address controller. The decoder efficiently combines the memories...
In this paper, a method is presented to analyze chaos-based pseudorandom sequence and determine its complexity based on intensive statistical complexity measure. For the case of chaos-based sequence and octal chaos-based pseudorandom sequence produced by logistic map and one-way coupled lattice, an example is made to demonstrate how it works. By improving permutation patterns, this method can be applied...
An effective face detection system used for detecting multi-pose frontal face in gray images is presented. Image preprocessing approaches are applied to reduce the influence of the complex illumination. Eye-analog pairing and improved multiple related template matching are used to glancing and accurate face detecting, respectively. To shorten the time cost of detecting process, we employ prejudge...
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