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119 articles for “data memory”
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Research ArticleOpen accessIn the abstractFramework for Enhancing the Performance of Data Intensive MPI based HPC applications on CloudAshwini Janagal Padmanabha, Sanjay Harogolige AdimurthyCloud computing is a new technology which is revolutionizing the current business model with pay-per-usage resource provisioning method. This model proves to be more profitable compared to traditional resource procurement and maintenance model. Data intensive High performance applications (HPC Application) handles large scale data sets on cluster/grid environment for enhanced performance. Most of these applications belong to the MPI category, … …Journal of Computer Science, Vol. 13, Issue 8 · 7 Aug 2017 · 7,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Improving Antivirus Scanning Engines: Memory On-Access ScannerMohammed I. Al-Saleh, Rasha K. Al-HuthaifiThe Antivirus (AV) products are utilized by home user's community to attain protection. To some extent, the AV meets users' expectations by detecting previously known malware samples. In this study, we question the set of events which should trigger the AV to scan data. Scanning every single piece of data as it moves from one location into another could be … …Journal of Computer Science, Vol. 13, Issue 8 · 26 Jul 2017 · 8,494 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasuring Customers’ Satisfaction Using Sentiment Analysis: Model and ToolAhmed Alqurafi, Tawfeeq AlsanoosyCustomer reviews are a valuable data resource for business owners and companies. Customers frequently write reviews on many platforms, such as eBay or Amazon. These reviews show, for instance, to what extent customers are satisfied with a service or a product. Therefore, these reviews can be used by companies and business owners to improve their services or products. However, numerous … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Modified Key Partitioning for BigData Using MapReduce in HadoopGothai Ekambaram, Balasubramanie PalanisamyIn the period of BigData, massive amounts of structured and unstructured data are being created every day by a multitude of ever-present sources. BigData is complicated to work with and needs extremely parallel software executing on a huge number of computers. MapReduce is a current programming model that makes simpler writing distributed applications which manipulate BigData. In order to make … …Journal of Computer Science, Vol. 11, Issue 3 · 15 Apr 2015 · 6,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractPROBING NON-ADHERENCE TO PRESCRIBED MEDICINES? A BIVARIATE DISTRIBUTION WITH INFORMATION NUCLEUS CLARIFIESRamalingam ShanmugamNo illness gets cured without the patient’s adherence to the prescribed medicine (s). Reasons such as too many medicines, lack of health insurance coverage, high co-payment cost, loss of cognitive memory to take. are commonly noticed for non-adherence. In some illnesses, the patients who do not adhere to the prescribed medicines end up again in hospital. How should the pertinent … …Current Research in Medicine, Vol. 5, Issue 2 · 17 Jul 2014 · 7,227 accessesView PDFCite
Research ArticleOpen accessIn the abstractPARALLEL IMPLEMENTATION OF EXPECTATION-MAXIMISATION ALGORITHM FOR THE TRAINING OF GAUSSIAN MIXTURE MODELSG. F. Araújo, H. T. Macedo, M. T. Chella et al.Most machine learning algorithms need to handle large data sets. This feature often leads to limitations on processing time and memory. The Expectation-Maximization (EM) is one of such algorithms, which is used to train one of the most commonly used parametric statistical models, the Gaussian Mixture Models (GMM). All steps of the algorithm are potentially parallelizable once they iterate over … …Journal of Computer Science, Vol. 10, Issue 10 · 9 Jul 2014 · 6,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractCastration and Passive Avoidance Learning Alter the Distribution of N-Methyl D-Aspartate ReceptorSeyed Hassan Mirzaei, Mahnaz Taherianfard, Mina Tadjali, Mahbobeh KohkaloyehIn neurophysiological studies on learning and memory, L-glutamate receptors especially N-Methyl, D-Aspartate glutamate (NMDA) receptors have a major role in different aspect of the learning and memory. Two sites of mammalian brain that show high density of these receptors are CA1 region of hippocampus and Purkinje cell layer of cerebellum. Twenty four Sprague-Dawley rats were used in 4 groups: Control … …Neuroscience International, Vol. 4, Issue 2 · 1 Apr 2014 · 6,777 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Bisphenol a on Passive Avoidance Performance in Male RatsMahnaz Taherianfard, Bita Geramizadeh, Mehrzad Banihashemi et al.Bisphenol A (BPA) is used to manufacture polycarbonate plastic products in resins lining metal cans, in dental sealants and in blends with other types of plastic products. In sharp contrast, there are many published studies that BPA has a wide range of significant adverse effects including structural and neurochemical changes throughout the brain associated with behavioral changes, such as hyperactivity, … …Current Research in Medicine, Vol. 4, Issue 2 · 10 Dec 2013 · 7,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Proficient Traceback Approach Using Provincial Locality Aspects to Eliminate Denial of Service AttacksS. Periyasamy, K. DuraiswamyA Denial-of-Service (DoS) attack, a menace to the availability of resources and service to the intended user, is usually by augmenting the traffic in the communication medium. These attacks originate in either ways, internal or external to a network with the aim to suspend the legitimate user from getting his/her service. The DoS attacks have been countered through various approaches, … …Journal of Computer Science, Vol. 9, Issue 2 · 12 Apr 2013 · 6,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractIs Cancer Recurrence Postponed By a Treatment? A New Model AnswersRamalingam ShanmugamDuring a treatment period of a cancer patient, the medical team ponders over a question: Is patient’s cancer recurrence significantly postponed by the medication, even if the illness is not completely cured? This question could be answered with data evidence if the data are analyzed with an appropriate model and a suitable methodology. A scanning of the literature reveals that … …Current Research in Medicine, Vol. 4, Issue 1 · 26 Mar 2013 · 6,894 accessesView PDFCite