作者：
Chum, Chi SingWei, XinzhouZhang, XiaowenCUNY
Comp Sci Dept Grad Ctr New York NY 10016 USA CUNY
Elect & Telecommun Dept New York City Coll Technol Brooklyn NY USA CUNY
Comp Sci Dept Coll Staten Isl Staten Isl NY USA
We propose a model along with its algorithm, which can detect suspicious activities and safeguard sensitive information within a complicated infrastructure of an organization based on the secret sharing schemes. The m...
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ISBN:
(纸本)9798350312935
We propose a model along with its algorithm, which can detect suspicious activities and safeguard sensitive information within a complicated infrastructure of an organization based on the secret sharing schemes. The model provides a flexible multifactor authentication methodology to increase the overall security of the system.
With the continuous improvement of computer software and hardware performance, a large amount of image and video data can be easily collected and quickly transmitted, and new recognition methods that introduce deep le...
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With the continuous improvement of computer software and hardware performance, a large amount of image and video data can be easily collected and quickly transmitted, and new recognition methods that introduce deep learning are emerging, making the application and research of face recognition technology. The value is also increasingly prominent. The purpose of this paper is to study the face recognition robot implementation algorithm based on deep learning. The research background and significance of face recognition and expression recognition, which are the core of facial biological information extraction, are introduced. The face feature extraction network structure of Inception-ResNet-V1 has been improved, and high recognition features of faces can be obtained. At the same time, the training of the feature extraction model of the self-built training set and the adjustment of hyperparameters are completed. Finally, the effectiveness of the improved network in this paper is fully verified in the LFW test set and the actual robot environment. It is verified by experiments that the proposed optimization method can improve the performance of the network. It also verified the significant research significance of the current deep learning direction through practice.
The main objective of this study is to suggest a suitable and coherent approach allowing the early fault detection occurring in the induction machine and conveyed by the stator current as a revealing signal of relevan...
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ISBN:
(纸本)9781450397827
The main objective of this study is to suggest a suitable and coherent approach allowing the early fault detection occurring in the induction machine and conveyed by the stator current as a revealing signal of relevant information. In this context, the paradigm involving the concept of FFT tool combined with the adopted technique, intended to be able to judiciously describe the spectral behavior of the signal from the stator current via an appropriate sensor. For this reason, the proposed approach is dedicated to deducing from the spectral behavior of the motor which suffers from several deficiencies, the parameter pattern which could be notified by the faults presence and therefore avoiding any kind of undesirable repercussions on the process involving this type of engine.
In recent years, implementing a complicated algorithm in an embedded system, especially in a heterogeneous computing system, has gained more and more attention in many fields. The problem is that the implementation ne...
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ISBN:
(纸本)9781479962457
In recent years, implementing a complicated algorithm in an embedded system, especially in a heterogeneous computing system, has gained more and more attention in many fields. The problem is that the implementation needs amounts of coding and debugging work, even if the algorithm has been verified by high-level language in PC environment. Our demo presents a method which can reduce the time of developing an algorithm in an embedded and heterogeneous system by high level synthesis method. Least Square Support Vector Machine(LS-SVM) algorithm was realized on Zynq platform by translating high-level language to Hardware Description Language(HDL). Basing on the feature of the developed heterogeneous system and the theory of LS-SVM, three parts were implemented to realize LS-SVM which includes a generating Kernel Matrix module, a solving linear equations module and a forecasting module. The first and the third parts have been placed in ARM processor by C language. Moreover, considering that the second parts was compute-intensive, it has been realized in logic resource by using high-level language. To manage data communication and computing task, an SOPC system has been designed on Zynq platform which worked in PXI chassis. Experiments demonstrate that the design method is feasible and can be used for the implementation of other complicate algorithm. The precision and time consumption in computing are given at the end.
By employing the 2-regularized determinant technique about Hilbert-Schmidt operators and creating what we call the contraposition return difference relationship for finite-dimensional linear continuous-time periodic (...
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By employing the 2-regularized determinant technique about Hilbert-Schmidt operators and creating what we call the contraposition return difference relationship for finite-dimensional linear continuous-time periodic (FDLCP) feedback systems, a contraposition 2-regularized Nyquist stability criterion is developed for asymptotic stability analysis in this study. The stability conditions of the contraposition 2-regularized Nyquist stability criterion are necessary and sufficient, which can be implemented graphically in a way similar to what we do in linear time-invariant cases but without involving open-loop poles distribution and encircling orientation counting of the Nyquist loci. A numeric implementation algorithm for the contraposition 2-regularized Nyquist criterion is also proposed via truncating the harmonic transfer operator of the FDLCP systems.
An optimal control problem for a linear nonstationary dynamic system with uncertainty in the initial state is considered. Based on preposterior analysis, an algorithm for implementing an optimal closable output loop i...
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An optimal control problem for a linear nonstationary dynamic system with uncertainty in the initial state is considered. Based on preposterior analysis, an algorithm for implementing an optimal closable output loop is constructed. The control results are illustrated using a numerical example and are compared with those based on two-stage disclosable output loop.
An advanced elasto-plastic constitutive model for frictional materials, whose incremental version is presented in a companion paper (Int. J. Numer. Anal. Meth. Geomech., 2002;26:647), is implemented in a user-defined ...
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An advanced elasto-plastic constitutive model for frictional materials, whose incremental version is presented in a companion paper (Int. J. Numer. Anal. Meth. Geomech., 2002;26:647), is implemented in a user-defined material module. The general calculation strategy inside this module is presented and discussed, including the initial intersection of the yield surface and the techniques for updating of stresses and hardening modulus. Several integration schemes are implemented in the module and their capabilities in relation to the advanced, three-dimensional constitutive model are evaluated. The forward Euler, modified Euler, and Runge-Kutta-Dormand-Prince integration schemes are explained in detail, compared, and evaluated in view of error tolerances and computational efficiency. Copyright (C) 2002 John Wiley Sons, Ltd.
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