A computer network, built on the need for military communication by the defense department, has developed into the internet and had a tremendous effect on businesses, companies, communities, and day-to-day activities....
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A computer network, built on the need for military communication by the defense department, has developed into the internet and had a tremendous effect on businesses, companies, communities, and day-to-day activities....
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A computer network, built on the need for military communication by the defense department, has developed into the internet and had a tremendous effect on businesses, companies, communities, and day-to-day activities. The development of the computer network has only altered the perceived usefulness of the computing system but has also contributed to significant improvement in several commercial applications. Recent developments in groundbreaking information and communication technology (ICT) technologies have since had a major influence on global economies. Premising on comprehensive literature review, this paper aims to review the development of computer networks over the years and also discuss the evolution of Internet of Everything (loE) and the impacts on human development.
Large margin classifiers such as support vector machines (SVM) have been applied successfully in various classification ***,their performance may be significantly degraded in the presence of *** this paper,we propose ...
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Large margin classifiers such as support vector machines (SVM) have been applied successfully in various classification ***,their performance may be significantly degraded in the presence of *** this paper,we propose a robust SVM formulation which is shown to be less sensitive to *** key idea is to employ an adaptively weighted hinge loss that explicitly incorporates outlier filtering in the SVM training,thus performing outlier filtering and classification *** resulting robust SVM formulation is *** first relax it into a semi-definite programming which admits a global *** improve the efficiency,an iterative approach is *** have performed experiments using both synthetic and real-world *** show that the performance of the standard SVM degrades rapidly when more outliers are included,while the proposed robust SVM training is more stable in the presence of outliers.
Coupling factor computation is the first and most important stepInfilter design process. Extraction of the coupling factor curves versus physical parameters of the coupled resonators,especially when there is no analyt...
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Coupling factor computation is the first and most important stepInfilter design process. Extraction of the coupling factor curves versus physical parameters of the coupled resonators,especially when there is no analytical solution,make this process very time consuming and *** paper in order to over comeThis draw back,a surprisingly fast,accurate and general approach based on fuzzy inference method is introduced to model the coupling factor. The developed method is applied to the coupled square open loop resonators to extract the coupling factor curves. The extracted coupling factor curves are used to design a four pole band pass Chebychev *** simulated response of the designed filter is compared with an ideal four pole Chebychev one. There is good agreement between the response of an ideal Chebychev filter and the designed one,while the computing time is vanishingly short.
Recently, cryptographic applications based on finite fields have attracted much attention. The most demanding finite field arithmetic operation is multiplication. This investigation proposes a new multiplication algor...
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Recently, cryptographic applications based on finite fields have attracted much attention. The most demanding finite field arithmetic operation is multiplication. This investigation proposes a new multiplication algorithm over GF（2^m） using the dual basis representation. Based on the proposed algorithm, a parallel-in parallel-out systolic multiplier is presented, The architecture is optimized in order to minimize the silicon covered area （transistor count）. The experimental results reveal that the proposed bit-parallel multiplier saves about 65% space complexity and 33% time complexity as compared to the traditional multipliers for a general polynomial and dual basis of GF（2^m）.
＜正＞Feature extraction is very important for the classifier design and the overall performance of *** recognition ***,due to the lack of theoretical guidances,feature extraction and classifier design are usually tre...
＜正＞Feature extraction is very important for the classifier design and the overall performance of *** recognition ***,due to the lack of theoretical guidances,feature extraction and classifier design are usually treated separately in current speech recognition *** *** proposes an approach to combine linear feature extraction with continuous density hidden Markov modeling（HMM） which is currently the most successful speech pattern classifier.A maximumlikelihood based algorithm is derived to iteratively train HMM parameters as well as the parameters of the feature *** algorithm is an exteusion of the Baum-Welcli parameter re-estimation algorithm for conventional HMMs and thus has a nice property of guara, nteed convergence.
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