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1
Automated time series forecasting
Published 2011“…While quantitative technique is based on statistical concepts and requires large amount of data in order to formulate the mathematical models.This technique can be classified into projective and causal technique.The projective technique (or univariate modelling) just involve one variable while the causal technique (or econometric modelling) suitable for multi-variables.Since forecasting involves uncertainty, several methods need to be executed on one set of time series data in order to produce accurate forecast.Hence, usually in practice forecaster need to use several softwares to obtain the forecast values.If this practice can be transformed into algorithm (well-defined rules for solving a problem) and then the algorithm can be transformed into a computer program, less time will be needed to compute the forecast values where in business world time is money.In this study, we focused on algorithm development for univariate forecasting techniques only and will expand towards econometric modelling in the future.Two set of simulated data (yearly and non-yearly) and several univariate forecasting techniques (i.e. …”
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2
Network game (Literati) / Chung Mei Kuen
Published 2003“…Therefore, efficient and robust servers that process separate client connections in separate threads are needed. Java applet is a well-known and widely used example of mobile code (a variation on the traditional client-server model). …”
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3
An enhanced ant colony system algorithm for dynamic fault tolerance in grid computing
Published 2020“…The proposed algorithm was developed in a simulated grid environment called GridSim and evaluated against other fault tolerance algorithms such as trust-based ACO, fault tolerance ACO, ACO without fault tolerance and ACO with fault tolerance in terms of total execution time, average latency, average makespan, throughput, execution success rate and load balancing. …”
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4
RISC-V instruction set extension on blockchain application
Published 2024“…In this project, some instructions were proposed to execute the cryptographic algorithm in shorter clock cycles and shorter execution time. …”
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5
Bitwise-based Routing Algorithms in Optical Multistage Interconnection Network
Published 2007“…In the first, the Improved Zero algorithm is proposed to solve the problem and secondly, the Bitwise Improved Zero algorithm is developed. …”
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6
Direct approach for mining association rules from structured XML data
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7
Pengesan lalu lintas dengan kaedah pemerosesan imej
Published 2001“…This study was conducted to develop efficient traffic detector using image-processing with a personal compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: Four algorithms were developed i. e. algorithm for traffic counting, algorithm for vehicle classification. algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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8
Greedyzero-based scheduling algorithm to route in optical low stage interconnection networks
Published 2012“…This algorithm has been developed to achieve performance goals in terms of 50% reduction in the number of passes.…”
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9
Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
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10
Parallel block methods for solving higher order ordinary differential equations directly
Published 1999“…These methods approximate numerical solution at one point at a time and therefore do not fully exploit the capability of parallel computers. Hence, the development of parallel algorithms to suit these machines becomes essential. …”
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11
Comparative analysis of sine cosine and social network search-based algorithm for software test redundancy reduction optimization
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12
The visualization of power density and temperature distribution of electronic system using elliptic PDE solver
Published 2008“…Numerical analysis is done in terms of execution time, number of iterations and computational complexity of the algorithm being used. …”
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13
A discrete event simulation framework for utility accrual scheduling algorithm in uniprocessor environment
Published 2011“…Conclusion: Extensive performance analysis of GUS simulator can be deployed using the developed simulator with low computational overhead. …”
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14
The division free parallel algorithm for finding determinant
Published 2013“…A cross multiplication method for determinant was generalized for any size of square matrices using a new permutation strategy.The permutation is generated based on starter sets.However, via permutation, the time execution of sequential algorithm became longer.Thus, in order to reduce the computation time, a parallel strategy was developed which is suited for master and slave paradigm of the high performance computer.A parallel algorithm is integrated with message passing interface.The numerical results showed that the parallel methods computed the determinants faster than the sequential counterparts particularly when the tasks were equally allocated.…”
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15
Shunt active power filter using hybrid fuzzy-proportional and crisp-integral control algorithms for total harmonic distortion improvement
Published 2016“…Utilization of soft-computing algorithms in the operation of Shunt Active Power Filters (SAPFs) becomes a latest trend. …”
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16
Automated path testing using the negative selection algorithm
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17
A filtering algorithm for efficient retrieving of DNA sequence
Published 2009“…An automaton-based algorithm is used to develop the filtering process proposed. …”
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18
DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS
Published 2012“…The issue is not only to develop new algorithms, but also to evaluate them on an experimental computational grid, using synthetic and real workload traces, along with the other existing job scheduling algorithms. …”
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19
Hybrid scheduling and dual queue scheduling
Published 2009“…Multiprogramming computer systems execute multiple programs concurrently. …”
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20
Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…The problem is even more complex using virtualized clusters in a cloud computing to execute a large number of tasks. The complexity lies in achieving multiple objectives that may be of conflicting nature. …”
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