Search Results - parallel distributed ((cell algorithm) OR (((mining algorithm) OR (matching algorithm))))
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Multithreaded Scalable Matching Algorithm For Intrusion Detection Systems
Published 2010“…Hence, this thesis defines a new algorithm called the Distributed Packet Header Matching algorithm (DPHM), and a New Network Intrusion Detection Systems (NNIDS) platform using hybrid technology in order to increase the overall performance of SNORT-NIDS.…”
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Thesis -
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The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The main objective of this study is to visualize the brain tumors’ growth in three-dimensional and implement the algorithm on distributed parallel computer systems. …”
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Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
Published 2010“…The tools of partial different equations via multi-dimensional parabolic types are emphases as the computational engine for the future prediction of the cell growth. This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz’s wave equation on a distributed parallel computing system. …”
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Effect Of The Addition Of Wastepaper To Concrete Mix
Published 2009“…Hence, this thesis defines a new algorithm called the Distributed Packet Header Matching algorithm (DPHM), and a New Network Intrusion Detection Systems (NNIDS) platform using hybrid technology in order to increase the overall performance of SNORT-NIDS.…”
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Parallel system for abnormal cell growth prediction based on fast numerical simulation
Published 2010“…The development of the prediction system is the combinations of the parallel algorithms, open source software on Linux environment and distributed multiprocessor system. …”
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Conference or Workshop Item -
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Adaptive resource allocation for reliable performance in heterogeneous distributed systems.
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Book Section -
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Extended Kalman Filter (EKF)-based modular-stack Vanadium Redox Flow Battery (V-RFB) prediction model development for reducing electrode contact resistance and parallelization curr...
Published 2019“…On the other hands, three different cell geometries of V-RFB cell, namely square-, rhombus- and circular cell designs are evaluated at three different cases i.e. no flow (plain) channel, parallel channel and serpentine channel. …”
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An efficient cache replacement algorithm for minimizing the error rate in L2-STT-MRAM caches
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Proceeding Paper -
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Random sampling method of large-scale graph data classification
Published 2024“…Mining a large number of graphs becomes a challenging task because state-of-the-art methods are not scalable due to the memory limit. …”
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DC-based PV-powered home energy system
Published 2017“…The work initially investigates the feasibility of using the DC distribution system to power the locally available AC appliances, that are analyzed and evaluated individually to match the DC supply either by direct coupling or some modification. …”
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A fuzzy-based PI controller for power management of a grid-connected PV-SOFC hybrid system
Published 2023Article -
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Generic DNA encoding design scheme to solve combinatorial problems
Published 2015“…To prove the concept, we employ four different combinatorial problems: Traveling Salesman Problem, Distribution Centre Location Problem, Scheduling Robotic Cell Problem, and Vertex Colouring Problem. …”
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Thesis -
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K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata
Published 2018“…K Nearest Neighbor Joins (KNN join) are regarded as highly primitive and expensive operations in the data mining.The efficient use of KNN join has proven good results in finding the objects from two data sets prevailed in the huge databases.This has been achieved with the combination of K-Nearest Neighbor query and join operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. …”
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A study on performance evaluation of conventional cache replacement algorithms: A review
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Proceeding Paper -
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An approximate method for solving unsteady transitional and rarefied flow regimes in pulsed pressure chemical vapor deposition process using the quiet direct simulation method
Published 2023“…The QDS algorithm is suitable for parallelization with its highly local nature. …”
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