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In this talk, I will describe a moving sphere approach to a class of integral equations with bubble-type kernel. This class of equations comes from higher-order elliptic equations on the standard sphe...
The free, esterified and bound forms of 37 phenolic compounds (including hydroxybenzoic acid, hydroxycinnamic acids, flavanols, flavonols and flavones) from walnut kernel (Juglans regia L.) were inves...
On the complexity of the Permuted Kernel Problem     Cryptanalysis  Identification scheme  complexity       font style='font-size:12px;'> 2019/4/23
In this document, we investigate the complexity of an old-time combinatorial problem - namely Permuted Kernel Problem (PKP) - about which no new breakthrough were reported for a while. PKP is an NP-co...
The General Sieve Kernel and New Records in Lattice Reduction     cryptanalysis  lattice reduction  sieving       font style='font-size:12px;'> 2019/1/29
We propose the General Sieve Kernel (G6K, pronounced /ʒe.si.ka/), an abstract stateful machine supporting a wide variety of lattice reduction strategies based on sieving algorithms. Using the bas...
In view of the fact that the deep convolutional neural network has stronger ability of feature learning and feature expression, an exploratory research is done on feature extraction and classification...
Countermeasures against a side-channel attack in a kernel memory     REE  TEE       font style='font-size:12px;'> 2018/1/19
We proposed a zero-contention in cache lines a cache policy between REE and TEE to prevent from TruSpy attacks in a kernel memory of an embedded system. We suggested that delay time of data path of RE...
Distinguishers play an important role in Side Channel Analysis (SCA), where real world leakage information is compared against hypothetical predictions in order to guess at the underlying secret key. ...
Proposal of primitive polynomials for Linux kernel PRNG     LFSRs  PRNG       font style='font-size:12px;'> 2017/8/1
The polynomials defining the LFSRs of the linux Kernel PRNG are irreducible but not primitive. As a result, the space of numbers generated by these LFSRs does not fill all the space. We propose in thi...
This study was to examine in vivo digestibility, nitrogen balance and ruminal fermentation of tamarind (Tamarind indica) kernel powder extract residue (TKPER) compared to soybean products and by-produ...
This paper presents a kernel-based approach for the change detection of remote sensing images. It detects change by comparing the probability density (PD), expressed as kernel functions, of the featur...
A kernel-based method for very high spatial resolution remote sensing image classification is proposed in this article. The new kernel method is based on spectral-spatial information and structure inf...
In this study estimation of tree damage from a windthrow event using feature detection on RGB high resolution imagery is assessed. An accurate quantitative assessment of the damage in terms of volume ...
The objective of this study was to evaluate the interaction effect of maize grain texture (dent vs semi-flint) and two different stages of maturity (1/2 vs 3/4 milk line) on ruminal starch degradabili...
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
With the increasing demand for the digital survey and acquisition of road pavement conditions, there is also the parallel growing need for the development of automated techniques for the analysis and ...

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