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119 articles for “data memory”

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Research ArticleOpen accessIn the abstractComparison of Pre-Processing and Classification Techniques for Single-Trial and Multi-Trial P300-Based Brain Computer InterfacesChanan S. Syan, Randy E.S. HarnarinesinghThe P300 component of Event Related Brain Potentials (ERP) is commonly used in Brain Computer Interfaces (BCI) to translate the intentions of an individual into commands for external devices. The P300 response, however, resides in a signal environment of high background noise. Consequently, the main problem in developing a P300-based BCI lies in identifying the P300 response in the presence … …American Journal of Applied Sciences, Vol. 7, Issue 9 · 30 Sep 2010 · 7,577 accessesView PDFCite
Research ArticleOpen accessIn the abstractMethods of Fast ExponentiationMohammed Al-MaitahProblem statement: Modular exponentiation constitutes the basis of many well-known and widely used public key cryptosystems. Approach: A fast portable modular exponentiation algorithm considerably enhanced the speed and applicability of these systems, also an efficient implementation of this algorithm was the key to high performance of such system. Results: In this study, two main approaches for solving this problem were … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,700 accessesView PDFCite
Research ArticleOpen accessIn the abstractMemory Storage Issues of Temporal Database Applications on Relational Database Management SystemsSami M. Halawani, Nashwan A. Al-RomemaProblem statement: Many existing database applications manage time-varying data. These database applications are referred to as temporal databases or time-oriented database applications that are considered as repositories of time-dependent data. Many proposals have been introduced for developing time-oriented database applications, some of which suggest building support for Temporal Database Management Systems (TDBMS) on top of existing non-temporal DBMSs, while others … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,734 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Low-Memory Reference FFT on Digital Signal ProcessorYi-Pin Hsu, Shin-Yu LinProblem statement: In order to improve and implement Fast Fourier Transform (FFT), in general, an efficient parallel form in digital signal processor is necessary. The butterfly structure is an important role in FFT, because its symmetry form is suitable for hardware implementation. Although it can perform a symmetric structure, the performance will be reduced under the data-dependent flow characteristic. Even … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 7,146 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of String Matching Compression AlgorithmsKrishnaveny Nadarajan, Zuriati A. ZukarnainThe improvement rate in microprocessor speed by far exceeds the improvement in DRAM memory. This increasing processor-memory performance gap is the primary obstacle to improved computer system performance. As a result, the size of main memory has increased gradually. To utilize main memory’s resources effectively, data compression can be applied. Through compression, the data can be compressed by eliminating redundant … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,299 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffective Load Metric and Efficient Initial Job Placement for Dynamic Load Balancing in ClusterP. Sammulal, M. V. Gopalachari, A. V. BabuHigh performance clusters are being configured specially to give data centers that require extreme performance and the processing power they need. When the data is accessed across clusters the data latency time has significant impact on the performance. In the literature it is given that memory and I/O have become the new bottleneck, instead of processing power in achieving efficient … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Generalized Discrete-Time Long Memory Volatility Model for Financial Stock ExchangeChin Wen CheongWe proposed a simple way to combine a few long memory models in financial market volatility modeling using daily, range and high frequency data. This model was able to fit the return, range of daily return or realized volatility under a parametric heavy-tailed distribution. Model was flexible to include additional volatility information as the contemporaneous variables. Empirical results found that … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 6,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiomedicine and Informatics Model of Alzheimer's DiseaseKang Cheng, Chang-Hua ZouIn a perspective of biomedicine and informatics, the mechanism of Alzheimer's, senile amnesia, or other aging-associated and cognitive impairment related diseases involve four important informative processing procedures: propagation, consolidation, retrieval and cognition, In this study, we systematically model the four procedures based on published experimental data. When modeling the propagation, we develop an equivalent circuit of biological membrane to describe … …American Journal of Biochemistry and Biotechnology, Vol. 3, Issue 3 · 28 May 2007 · 6,828 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Method for Tagging Arabic TextYamina Tlili-GuiassaMany natural language expressions are ambiguous and need to draw on other sources of information to be interpreted. Interpretation of the word ﺗﻌﺎون to be considered as a noun or a verb depends on the presence of contextual cues. This study proposes a hybrid method of based- rules and a machine learning method for tagging Arabic words. So this method … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,705 accessesView PDFCite
Research ArticleOpen accessIn the abstractNelson and Plosser Revisited: Evidence from Fractional ARIMA ModelsGuglielmo Maria Caporale, Luis A. Gil-AlanaIn this study fractionally integrated ARIMA (ARFIMA) models are estimated using an extended version of Nelson and Plosser[1]’s data set. The analysis employs[11]’s maximum likelihood procedure. Such a parametric approach requires the model to be correctly specified in order for the estimates to be consistent. A model-selection procedure based on diagnostic tests on the residuals, together with several likelihood criteria, … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,718 accessesView PDFCite