Search Results - (( developing effective commitment algorithm ) OR ( java estimation based algorithm ))

Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Multi-floor indoor location estimation system based on wireless local area network by Chua, Tien Han

“…The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. …”
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Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

“…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 other ant based algorithm, in terms of resource utilization. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

“…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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Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

“…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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JTAGGER by YAACOB, NORHANA

“…The part-of-speech tagging algorithms fall into three classes which are rule-based taggers, stochastic taggers, and transformation-based taggers. …”
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Effect of business social responsibility (BSR) on performance of SMEs in Nigeria by Gorondutse, Abdulahi Hassan

“…Therefore, significant positive effects of commitment, trust, and perceived ethics suggest that the variables are important in relation to performance. …”
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Implementation of RIO in UMJaNetSim / Chan Chin We by Chan, Chin We

“…In this project, I will focus on the earliest making algorithm, which is calculating the average queue sizes for in-profile packets and total packets. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

“…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”

Examining leadership style and ethical reasoning in Nigeria public sector by Felix, Chikelu Okey

“…Findings also showed that the relationship between transformational leadership and post conventional cognitive moral development was found to be significantly moderated by religiosity commitment and vertical individualism and collectivism. …”
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Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks by Mohamed, Mohamed Awad Elshaikh

“…This thesis investigates the effect of different scheduling mechanisms and usage of a different marker algorithms then develop and implement a fair scheduling mechanism and integrate it with a shaper with the usage of a very fair efficient marker at the edge of the DiffServ networks with the usage of simulation and analytical techniques. …”
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Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List by Othman M.N.C., Rahman T.K.A., Mokhlis H., Aman M.M.

“…This paper presents an approach to solve the unit commitment problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). …”

Fraud Detection in Shipping Industry using K-NN Algorithm by Subramaniam G., Mahmoud M.A.

Optimal economic load dispatch using multiobjective cuckoo search algorithm by Yasin Z.M., Aziz N.F.A., Salim N.A., Wahab N.A., Rahmat N.A.

“…In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. …”

Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman by Che Othman, Muhammad Nazree

“…From the result obtained and the comparative study conducted, it is proved that the proposed MAEP-PL optimisation technique has able to solve the unit commitment problem where, the total daily generation cost is effectively minimised and the computation time is reduced as compared to other techniques.…”
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Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection by Nadheer Abdulridha, Shalash

“…The probability agent is to determine the capacity in service while a fuzzy model agent is to estimate the operation or failure probability. In addition, another two agents have been developed based on Monte Carlo simulation. …”
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Skyline queries on data with uncertain dimensions for efficient computation by Mohd Saad, Nurul Husna

“…The performance of SkyQUD-T is studied against two naïve algorithms that are developed to reflect the best-case and worst-case scenarios. …”
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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

“…As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. …”
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Bornean Orangutan nest classification using Image enhancement with convolutional neural network and kernel multi support vector machine classifier by Amanda Aiza Amran, Chin Kim On, Samsul Ariffin Abdul Karim, Lai Po Hung, Chai Soo See, Donna Simon, Munirah Rossdy, Chi Jing

“…In future work, we aim to develop orangutan nest detector, contributing to wildlife conservation research.…”
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Bornean Orangutan Nest Classification using Image Enhancement with Convolutional Neural Network and Kernel Multi Support Vector Machine Classifier by Amanda Aiza, Amran, Kim On, Chin, Samsul Ariffin, Abdul Karim, Po Hung, Lai, Soo See, Chai, Donna, Simon, Munirah, Rossdy, Chi, Jing

“…In future work, we aim to develop orangutan nest detector, contributing to wildlife conservation research.…”
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