Search Results - (( java implementation max algorithm ) OR ( program hand based algorithm ))
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…Many algorithms have been implemented to solve the grid scheduling problem. …”
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Data-Glove-Based Hand Gesture Recognition System Using Flex Sensors And An Imu Sensor
Published 2017“…This system recognizes the hand gestures based on the information captured by the flex sensors and an IMU sensor. …”
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Monograph -
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3D hand posture recognition using multicam
Published 2011“…The availability of the distance data allows the hand posture to be recognized in z-axis direction without complex computational algorithms which also enables the program to work in real-time processing as well as eliminates the background effectively. …”
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SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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Article -
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Agent-based extraction algorithm for computational problem solving
Published 2015“…On the other hand, agent-based model offers a good method to solve complex computational problems. …”
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Collision prediction based genetic network programming-reinforcement learning for mobile robot navigation in unknown dynamic environments
Published 2017“…The problem of determining a smooth and collision-free path with maximum possible speed for a Mobile Robot (MR) which is chasing a moving target in a dynamic environment is addressed in this paper. Genetic Network Programming with Reinforcement Learning (GNP-RL) has several important features over other evolutionary algorithms such as it combines offline and online learning on the one hand, and it combines diversified and intensified search on the other hand, but it was used in solving the problem of MR navigation in static environment only. …”
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Photo Based Walkthrough Using Prefetch and Caching Strategies
Published 2007“…Since actual photographs are used, the virtual environment can achieve unparalleled realism. On the other hand, geometry-based rendering system is very time consuming to be constructed especially for a large environment with complex lighting and visual effects. …”
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Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms
Published 2016“…This is because on one hand, the individual metrics deals with only a single feature of the object-oriented systems, while on the other hand; the suites either contain duplicate metrics of the same goal or lack some important metrics that match the common attributes in the software products. …”
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Thesis -
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Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri
Published 2017“…Furthermore, the system was developed using Fingerprint Matching Algorithm (FMA), Image Processing technique and embedded programming technique. …”
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Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes
Published 2007“…Since programming is not very exact and can be considered partially art then the Genetic Algorithm is not designed to be fully autonomous and programmers hand still have to be there, but with much reduced work.…”
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Research Report -
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Speed-up robust features based 3D object recognition for grasping by three fingered robot hand / Nurul Hanani Remeli
Published 2018“…In previous work, a 7-Degree Of Freedom (DOF) three fingered robot hand had been developed for a grasping task. The reference position of the robot hand however was programmed based on predetermined motor positions of the joints for grasping two different shapes of object. …”
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Conference Approval System (e-CoAS) / Nor Hidayah Rahim
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Performance and evaluation of soft handover system towards WCDMA in 3G network / Norlia Ghazali
Published 2004“…Matlab is used as the programming language and to display the results.…”
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SYSTEMATIC DESIGN OF SIMPLY STRUCTURED COMPENSATOR
Published 2005“…In this project, the algorithm of the tuning method based on Nyquist Stability Criterion is developed first. …”
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Final Year Project -
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Photo Based Walkthrough Using Prefetch and Caching Strategies
Published 2007“…Since actual photographs are used, the virtual environment can achieve unparalleled realism. On the other hand, geometry-based rendering system is very time consuming to be constructed especially for a large environment with complex lighting and visual effects. …”
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Conference or Workshop Item -
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Towards a better feature subset selection approach
Published 2010“…The selection of the optimal features subset and the classification has become an important issue in the data mining field.We propose a feature selection scheme based on slicing technique which was originally proposed for programming languages.The proposed approach called Case Slicing Technique (CST).Slicing means that we are interested in automatically obtaining that portion 'features' of the case responsible for specific parts of the solution of the case at hand.We show that our goal should be to eliminate the number of features by removing irrelevant once.Choosing a subset of the features may increase accuracy and reduce complexity of the acquired knowledge.Our experimental results indicate that the performance of CST as a method of feature subset selection is better than the performance of the other approaches which are RELIEF with Base Learning Algorithm (C4.5), RELIEF with K-Nearest Neighbour (K-NN), RELIEF with Induction of Decision Tree Algorithm (ID3) and RELIEF with Naïve Bayes (NB), which are mostly used in the feature selection task.…”
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Conference or Workshop Item -
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