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442 results for “data processing”
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Research ArticleOpen accessIn the keywordsE-GENMR: Enhanced Generalized Query Processing using Double Hashing Technique through MapReduce in Cloud Database Management SystemShweta Malhotra, Mohammad Najmud Doja, Bashir Alam, Mansaf AlamBig Data, Cloud computing and Data Science is the booming future of IT industries. The common thing among all the new techniques is that they deal with not just Data but Big Data. Users store various kinds of data on cloud repositories. Cloud Database Management System deals with these large sets of data. Cloud Database service provider deals with many … …Journal of Computer Science, Vol. 13, Issue 7 · 14 Jul 2017 · 7,566 accessesView PDFCite
Review ArticleOpen accessIn the keywordsConfluences among Big Data, Finite Element Analysis and High Performance ComputingLidong Wang, Guanghui Wang, Cheryl Ann AlexanderBig Data analyzes correlations from huge raw data and predicts outcomes. It has great impacts on scientific discoveries and value creation. High Performance Computing (HPC) uses parallel processing and advanced programs or software packages to complete complicated jobs quickly. Finite Element Method (FEM) is very powerful in scientific computation and engineering analysis. It has created huge values in almost every … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 15 Jul 2015 · 8,066 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Frame Study for Post-Processing Analysis on System Behavior: A Case Study of Deadline Miss DetectionJunghee Lee, Jongman KimProblem statement: A lot of data can be obtained by system simulation using transaction level models without affecting the performance of the system. Due to huge amount of the raw data, we often need to post-process them to extract valuable information. Profiling capabilities of commercial tools provide predefined functionalities and don’t allow users to add or modify for their own … …Journal of Computer Science, Vol. 6, Issue 12 · 22 Nov 2010 · 6,741 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArtificial Neural Network Based Model for Forecasting Sugar Cane ProductionO. O. Obe, D. K. ShangodoyinProblem statement: The global need for alternative energy source has necessitated the exploration of vast organic agricultural products with a view of processing them for the production of ethanol in commercial quantity. To ascertain a sustainable production of ethanol from processed sugar cane, a predictive model based on non-linearity nature of its production is imperative. This is due to unavailability … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,268 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPedestrian Detection in RGB-D Data Using Deep AutoencodersPavel Aleksandrovich Kazantsev, Pavel Vyacheslavovich SkribtsovRecent popularity of RGB-D sensors mostly comes from the fact that RGB-images and depth maps supplement each other in machine vision tasks, such as object detection and recognition. This article addresses a problem of RGB and depth data fusion for pedestrian detection. We propose pedestrian detection algorithm that involves fusion of outputs of 2D- and 3D-detectors based on deep autoencoders. … …American Journal of Applied Sciences, Vol. 12, Issue 11 · 17 Nov 2015 · 6,812 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimized Feature Selection Approach for Semi-Supervised Sentiment Analysis of E-Commerce FeedbackAlok Kumar Jena, Kakita Murali Gopal et al.In this globalized world, people prefer to buy products online without any hesitation. Usually, to acquire the quality of the product or brand, they examine the product’s reviews, which is a tedious job to do manually. The wide use of social media also encourages the users, to keep their views on the product in a global platform. By using machine … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,179 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Impact of Artificial Intelligence on Social Media ContentElsir Ali Saad Mohamed, Murtada Elbashir Osman, Badur Algasim MohamedArtificial Intelligence (AI) has become a powerful tool for creating and managing social media content. Social media platforms have integrated AI technology into their algorithms to optimize the user experience. However, the impact of AI on social media is a topic of debate. This research aims to explore the effects of AI and its implications for content creators and consumers. … …Journal of Social Sciences, Vol. 20, Issue 1 · 22 Apr 2024 · 39,784 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOntoJob Query Processor: An Ontology Driven Query Processing Method in Jobology Information SystemRanjna Jain, Neelam DuhanThere are a large numbers of jobsites/job portals that provide information about employment on the internet. These websites facilitate employers to post job lists. Job seekers go through those job posts and apply for the same. But, due to the availability of dozens of job portals, job seekers are unable to concentrate on the efforts to see the best outcomes. … …Journal of Computer Science, Vol. 16, Issue 5 · 11 Jan 2021 · 6,419 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLow Cost Smart Sensor DesignTakialddin A. Al SmadiProblem statement: Sensor with local processing power that enables it to react to local conditions without having to refer back to the central controller. The size and the cost of smart sensor circuit have been reduced. Approach: The use of microcontroller, such as (PIC16C715), with an 8-bit ADC (Analogue to Digital Converter) in one chip. This reduction in the circuit … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 11 Feb 2016 · 7,574 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeature Selection for High Dimensional Data: An Evolutionary Filter ApproachAnwar Ali Yahya, Addin Osman, Abd Rahman Ramli, Adlan BalolaProblem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection approaches with respect to efficiency and effectiveness. As an example, genetic algorithm is an effective search algorithm that lends itself directly to feature selection; … …Journal of Computer Science, Vol. 7, Issue 5 · 9 May 2011 · 7,946 accessesView PDFCite