fast data processing model
Fast Time Varying Channel Model Research for Data Processing of Wireless
... The model tree was first proposed by Quinlan in 1992. It is a classical model for regression ...The model tree is different from the regression tree which is proposed by ...The model tree ...
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Big Data Processing Using Hadoop MapReduce Programming Model
... analyzed data using a batch process. One takes a chunk of data, submits a job to the server and waits for delivery of the ...incoming data rate is slower than the batch processing rate and ...
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A Review on Fast Query Processing Techniques and Algorithms
... New keyword suggestions will be determined in keeping with their linguistics connection to the initial keyword question. One of the novel method called ProMiSH (Projection and Multi Scalez Hashing) that uses random ...
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Provable Data Processing (PDP) a Model for Client's secured data on cloud
... this fast generation, cloud computing has swiftly extended as an substitute to conservative computing subsequently it can offer a flexible, dynamic, robust and cost effective ...structure. Data integrity is ...
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Learning to Construct Fast Signal Processing Implementations
... signal processing algorithm can be represented by many mathematically equivalent formu- ...to model this broad performance ...generate fast formulas, allowing us to intelligently search through only ...
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A Real Time Stream Data Processing and Analysis Model and Catchments over Twitter Stream Data
... Big data processing is an important aspect in todays ...of data according user usage and ...different processing tools and methodology. Real time data gathering, storing them and ...
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Abstract: Big Data in medicine includes possibly fast processing of large data sets, both current and
... large data sets have been created, which allow classification of objects with great efficiency - Inception model [20] trained using ImageNet containing 1000 categories of images is subject to a top-5 error ...
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Fast probabilistic inference and GPU video processing
... The fragment stage computes the colour for each fragment, using the interpolated values from the vertex stage. Typically the fragment colour is composed of values sampled from textures. Textures are images which can be ...
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1. Hybrid data processing model for big data - a review
... the processing models we have mentioned in this ...the data processing ...the model stand out from the rest. Considering the fact that each model has its own advantages and is mainly ...
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A Fast Parallel Data Processing Method in Cloud Computing
... C.JOB ESCRIPTION: Jobdescription based on directed acyclic graph (DAGs) in that vertices and edges are used vertices is used to represent job’s individual tasks and edges denote communication channels. Figure 4 ...
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FPGA Implementation of Peak Detector, 64 Bit BCD Counter and Reset Automatic Block for Pd Detection System Using VHDL Simulation P Sateesh Kumar, M Kesab Chandrasen, V Suresh & V Ravi Tejesvi
... its fast digital processing capability.This paper is purely a model to determine the design circuit to implement Par- tial Discharge (PD) detection in FPGA ...input data have very fast ...
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Data Cluster Formation Using FAST Algorithm
... In existing system, supervised neural network learning mutual information is used which is independent of robust estimation. Use of mutual information in this method is determined by input dimensionality which requires ...
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A Simulator Framework for Naval Electronic Information System
... 6) The tools in the tool layer are utilized for simulator and workflow configuration. It provides convenient human-machine interaction where the HMI designer provides graphical interface to layout interface elements; the ...
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Improved Signal Processing and Calibration Methods for GPR Tomography
... The transfer function of the antennas (together) was measured by pointing them at each other and recording S21 on the VNA (see Figure 2 (b)). This was done at different distances to investigate the effect of the possible ...
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Data Driven Big Data Processing Model V Nagarjuna & Mrs Deeba Khan
... Autonomous data sources with distributed and decentralized controls are a main charac- teristic of Big Data ...each data source is able to generate and collect information without involving (or ...
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A Model Design of Big Data Processing System using Hace Theorem
... streaming data need to be processed and analyzed at the same speed and in a timely manner for it to be of value to business organizations and the general ...of data analysis should equally be transmitted ...
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FAST MORPHOLOGICAL IMAGE PROCESSING OPEN-SOURCE EXTENSIONS FOR GPU PROCESSING WITH CUDA
... image processing is powerful non-linear image analysis tool for the analysis of spatial structure based on pre-defined spatial structures known as structuring ...image processing, erosion and dilation have ...
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Research on Fire Dispersion Data Processing Method Based on Cloud Model
... transformation model between a qualitative concept expressed by linguistic value and its quantitative representation, which is used to reflect the uncertainty of the concept in natural language, and reflect the ...
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Sensors Data-Stream Processing Middleware based on Multi-Agent Model
... correctly data about which it is interested. The KDA will analyze data from external sources and will compare this data with its ...some data stream about his cardiac frequency from the last ...
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Estimation, Decision and Applications to Target Tracking
... Note that we are interested in the nonlinearity between x and z, and hence additive noises are not considered in the measure. Intuitively, M quantifies the portion (or percentage) of the nonlinear part that cannot be ...
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