Search Results - (( data acquisition integration algorithm ) OR ( java simulation optimization algorithm ))
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1
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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2
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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3
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
4
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. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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6
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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7
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
8
Application Of Exact String Matching Algorithms Towards SMILES Representation Of Chemical Structure.
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Development of wireless data acquisiton system using LoRa technology for construction of PID control system
Published 2025text::Thesis -
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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11
IOT-based fertigation system / Mohamad Amir Furqan Darus
Published 2024“…Advanced algorithms and machine learning processes this data to determine the ideal irrigation and fertilization needs. …”
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Student Project -
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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli
Published 2023“…This study addresses challenges related to data acquisition, preprocessing, feature extraction, and results. …”
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Student Project -
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Enhancing Internet of Things monitoring systems through solar power, 3D printing and multi-cellular network connectivity for outdoor precision agriculture
Published 2023“…The integration of enhanced data acquisition device and network modem results in a reliable agriculture monitoring system with a 100% data broadcast success rate, compared to 96% and 89% when using a single network setup, while hardware fabrication and network deployment cost are reduced by 51% and 88% respectively, for a cost-effective system.…”
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INTELLIGENT MODELLING OF GRADIENT FLEXIBLE PLATE STRUCTURE UTILISING HYBRID EVOLUTIONARY ALGORITHM
Published 2023“…A slanted GFPS with orientation angle of 30° and all edges clamped was developed and fabricated to represent the actual dynamics of the system. Then, data acquisition and instrumentation system were integrated to the rig to collect the input-output vibration data. …”
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15
Smart agriculture: precision farming through sensor-based crop monitoring and control system
Published 2024“…Upon its integration into the comprehensive system for monitoring new data and predicting fruit growth, the model achieves an impressive 98% accuracy score. …”
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A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Published 2025“…The second layer employed spatial data and the fuzzy Technique for Order Preference by Similarity to Ideal Solution algorithm to refine potential solar energy sites, yielding the top 100 optimal locations. …”
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17
WBEC: A web browsers evidence collection toolkit for web browsers usage in Windows 10
Published 2022“…In addition, the SHA-1 hashing algorithm was used to improve the evidence's integrity. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks
Published 2025“…The FRF signals were captured using accelerometers to monitor the structural health of the pipeline. The data acquisition stage involved collecting FRF signals from the accelerometers to capture vibrations and responses related to the identified faults using a Siemens LMS SCADAS data acquisition unit. …”
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PID control system implementation in embedded system for DC motor speed control
Published 2008“…By creating real time data acquisition software, the performance of the system is monitored and later on analyzed. …”
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Undergraduates Project Papers -
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Blueing reflectivity integration (BRI) for seismic spectral enhancement and its application in seismic data interpretation
Published 2019“…A new and practical technique is proposed by incorporating seismic and well data. Blueing Reflectivity Integration (BRI) technique helps to create a new seismic data set that can disclose thin beds below seismic tuning thickness. …”
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