An FIR filter is implemented in this work. Enhancing the arithmetic operations of the filter is considered. For the addition operation, the signed-digit number system is utilized. For the multiplication operation, Boo...
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An FIR filter is implemented in this work. Enhancing the arithmetic operations of the filter is considered. For the addition operation, the signed-digit number system is utilized. For the multiplication operation, Booth-3 algorithm is used to reduce the number of partial products. Then a 1D filter is used to construct a 2D filter that is deployed on real hardware in an image processing application.
Web service has been widely accepted as a technical standard for constructing software system which supports interoperable machine-to-machine interaction over a network. Even though such new system exhibits a lot of a...
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Web service has been widely accepted as a technical standard for constructing software system which supports interoperable machine-to-machine interaction over a network. Even though such new system exhibits a lot of advantages such as loose-coupling, heterogeneity and flexibility, how to maintain it is still an open problem, especially for fault diagnosis. In the paper, a framework of debugging Web services system through intelligent information process methods is proposed. In such framework, the execution traces can be collected via SOAP message monitoring or service invocation instrument. Meanwhile, execution logic between Web services can be analyzed according to time-stamp. Based on the logic relations, service order matrix for each execution trace can be constructed. Then, cluster analysis technique can be performed on such matrices to partition the similar traces together. Subsequently, the failure reference 2-tuple which is the important clue for further fault location is formed through sampling and similarity analysis. Finally, the case study and simulation experiment are performed to confirm the feasibility and effectiveness of our method.
Two-way satellite time and frequency transfer is a precise time transfer method and has being used to generate the TAI since 1999. Nowadays, TWSTFT links have formed a worldwide network and the utilization of the high...
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Two-way satellite time and frequency transfer is a precise time transfer method and has being used to generate the TAI since 1999. Nowadays, TWSTFT links have formed a worldwide network and the utilization of the highly redundant TWSTFT data become an important topic. In our pervious study, a feasible method has been proposed, with full time transfer network data, to improve the results of TWSTFT network. Besides, NICT has recently developed the software-defined radio based two-way time transfer modems using the dual pseudo random noise (DPN) signal. The first DPN two-way time transfer experiments, using these modems, were performed between NICT(Japan) and TL(Taiwan) from March to December 2010 and its ability in improving the time transfer precision was approved on the Japan-Taiwan baseline. In compare with the conventional NICT-TL TWSTFT link, the DPN time transfer results have higher precision and less diurnals. Since the DPN results show better performance than the conventional TWSTFT time transfer, we would adopt the DPN results for the NICT-TL link, and solve the TWSTFT+DPN network solution by using our proposed method. The numerical results about how the DPN data can benefit the performance of TWSTFT network will be illustrated in the paper.
We describe a "molecular" evolutionary algorithm that can be implemented in DNA computing in vitro to learn the recently-proposed hypernetwork model of cognitive memory. The molecular learning process is des...
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We describe a "molecular" evolutionary algorithm that can be implemented in DNA computing in vitro to learn the recently-proposed hypernetwork model of cognitive memory. The molecular learning process is designed to make it possible to perform wet-lab experiments using DNA molecules and bio-lab tools. We present the bio-experimental protocols for selection, amplification and mutation operators for evolving hypernetworks. We analyze the convergence properties of the molecular evolutionary algorithms on simulated DNA computers. The performance of the algorithms is demonstrated on the task of simulating the cognitive process of learning a language model from a drama corpus to identify the style of an unknown drama. We also discuss other applications of the molecular evolutionary algorithms. In addition to their feasibility in DNA computing, which opens a new horizon of in vitro evolutionary computing, the molecular evolutionary algorithm provides unique properties that are distinguished from conventional evolutionary algorithms and makes a new addition to the arsenal of tools in evolutionary computation.
This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input ...
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This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input variables. In this study, we consider multivariate polynomials as the nonlinear functions. Unlike multilayer neural networks, the CFLN is free from local minima problem, and it offers very fast learning in parameters because of its linear structure. In the complex domain, polynomial based CFLN has an additional advantage of not requiring activation functions, which is a major concern in the complex-valued neural networks. However, it is important to select a smaller subset of polynomial terms (monomials) for faster and better performance, since the number of all possible monomials may be quite large. In this paper, we use the orthogonal least squares method in a constructive fashion (starting from lower degree to higher) for the selection of a parsimonious subset of monomials. Simulation results demonstrate that computing CFLN in purely complex domain is advantageous than in double-dimensional real domain, in terms of number of connection parameters, faster design, and possibly generalization performance. Moreover, our proposed CFLN compares favorably with several other multilayer networks in the complex domain.
Interference alignment (IA) has been well recognized as a promising technique to obtain a large multiplexing gain in multiple input multiple output (MIMO) interference channels. However, most of the existing IA scheme...
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ISBN:
(纸本)9781467303217
Interference alignment (IA) has been well recognized as a promising technique to obtain a large multiplexing gain in multiple input multiple output (MIMO) interference channels. However, most of the existing IA schemes require global channel state information (CSI) at the transmitter to design precoding vectors, which causes a large amount of feedback bits. To reduce the feedback overhead, in this paper, we model the evolution and dynamic behavior of the CSI feedback rate control problem using the evolutionary game theory over orthogonal feedback channels with a total bandwidth constraint. The game utility is defined as the performance gain by CSI feedback minus the price as a linear function of the CSI feedback rate, subject to an overall bandwidth constraint. Then, an algorithm for the implementation of the evolution process is also presented. The proposed game-theoretic framework for modeling the interactions among the feedback of multiple users can be used to efficiently control the CSI feedback amount while achieving fairness among all the mobile receivers.
Determining event ordering has always been a crucial issue in distributed computing. A well known model for describing event ordering is the happened-before relation. However, the traditional happened-before relation ...
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Determining event ordering has always been a crucial issue in distributed computing. A well known model for describing event ordering is the happened-before relation. However, the traditional happened-before relation model is i-nadequate to faithfully characterize event ordering in recent emerging mobile ad hoc networks (MANETs), which usually have no fixed supporting infrastructure and may experience dynamic network topology changes. In this paper, we first propose a new relation, called the extended-happenedbefore relation, to model the ordering of events for a MANET. Then we present an algorithm to assign logical time to events such that the extendedhappened-before relation between events can be decided by comparing their tunestamps. We finally show how to construct consistent global snapshots in a MANET when the ordering of events can be determined.
We report results of the study of the low-frequency noise in thin films of bismuth selenide topological insulators, which were mechanically exfoliated from bulk crystals via “graphene-like” procedures. From the resi...
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We report results of the study of the low-frequency noise in thin films of bismuth selenide topological insulators, which were mechanically exfoliated from bulk crystals via “graphene-like” procedures. From the resistance dependence on the film thickness, it was established that the surface conduction contributions to electron transport were dominant. It was found that the current fluctuations have the noise spectral density SI ∞ 1/ f (where f is the frequency) for the frequency range up to 10 kHz. The obtained noise data are important for transport experiments with topological insulators and for any proposed device applications of these materials.
The effect of back biasing on the performance of a planar tunnel field-effect transistor (TFET) implemented on a silicon-on-insulator substrate is investigated. It is found that reverse back biasing reduces the subthr...
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The effect of back biasing on the performance of a planar tunnel field-effect transistor (TFET) implemented on a silicon-on-insulator substrate is investigated. It is found that reverse back biasing reduces the subthreshold swing SS and increases the range of drain current over which SS is less than ( k B T / q ) ln (10); hence, it is effective for improving the TFET on/off current ratio for low operating voltages (≤ 0.5 V).
In this paper, we presents a new approach to document image retrieval based on signature. The database contains document images with English text combined with headlines, ruling lines, logo, trade mark and signature. ...
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In this paper, we presents a new approach to document image retrieval based on signature. The database contains document images with English text combined with headlines, ruling lines, logo, trade mark and signature. In searching a repository of business documents, task of interest is that of using a query signature image to retrieve from a database. The signature retrieval task involves a two step process of extracting all the signatures from the document and performing a match on these signatures. We have proposed to use the rotated complex wavelet filters (RCWF) and dual tree complex wavelet transform (DT-CWT) together to derive signature feature extraction. In retrieval phase, Canberra distance measure is used. Further, relevance with query point movement (QPM) is used to improve the retrieval performance. Experimental results shows that document image retrieval rate of proposed method is satisfactory.
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