Search Results - (( developing service optimization algorithm ) OR ( java features encryption algorithm ))
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1
Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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Academic Exercise -
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Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III
Published 2024“…In this research, the NSGA III algorithm is employed to develop a multiobjective optimization framework for 4D printing service portfolios, addressing critical issues such as service cost, time, quality, adaptability, and overall service optimization amidst fluctuating demand and service availability. …”
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3
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique contains three approaches; first approach is string encryption. The string encryption is about adding a mathematical equation with arrays and loops to the strings in the code to hide the meaning. …”
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4
Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC
Published 2021“…The design combined symmetric key encryption (AES) for the message encryption with the asymmetric key encryption (ECC). …”
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5
Modelling and optimization of a transit services with feeder bus and rail system / Mohammadhadi Almasi
Published 2015“…This is followed by application of the improved model to the benchmark and Petaling Jaya study areas. In this study, optimized transit services and coordinated schedules are developed using metaheuristic algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), water cycle algorithm (WCA) and imperialist competitive algorithm (ICA). …”
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6
Cloud Resource Management Framework Using Monarch Butterfly Harmony Search And Case Based Reasoning
Published 2017“…The rop framework consists of two main components: global resource optimizer (gro) and resource identifier (ri). This research enhances the butterfly optimization algorithm and plugs the resulting algorithm into the rop as a gro. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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8
The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach
Published 2001“…From standard static formula for bearing capacity of a single pile foundation, an algorithm using a reliability approach for the determination of service load was developed. …”
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Optimal vehicle to grid planning and scheduling using double layer multi-objective algorithm
Published 2023Article -
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WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
Published 2023“…In this work, a new microcontroller board was designed and developed with Genetic Algorithm (GA) embedded on board. …”
Conference paper -
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Resource scheduling algorithm with load balancing for cloud service provisioning
Published 2019“…Hence, there necessitates efficient resource scheduling for ensuring load optimization in cloud. The objective of this work is to introduce an integrated resource scheduling and load balancing algorithm for efficient cloud service provisioning. …”
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Enhancing Solutions Of Capacity Vehicle Routing Problem Based On An Improvement Ant Colony System Algorithm
Published 2019“…The paper aims to discover an optimal route for VRP by using Improvement Ant Colony System Algorithm (IACS). …”
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Optimization of Feeder Bus Routes for Electric Train Service using Ant Colony Algorithm
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Final Year Project -
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Proposed algorithm for scheduling in computational grid using backfilling and optimization techniques
Published 2016“…To allocate the suitable resources for the incoming jobs, a scheduling algorithm has to manage this process.In this paper, we provide a critical review the recent mechanisms in “grid computing” environment.In addition, we propose a new scheduling algorithm to minimize the delay for the end user, Gap Filling policy will be applied to improve the performance of the priority algorithm.Then, an optimization algorithm will perform in order to further enhance the initial result for that obtained from backfilling mechanism.The main aim of the proposed scheduling mechanism is to improve the QoS for the end user in a real grid computing environment.…”
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A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system
Published 2021“…Peak shaving service can be found from this algorithm as a simple and forcible way. …”
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Challenges of hidden data in the unused area two within executable files
Published 2009“…Results: The programs were coded in Java computer language and implemented on Pentium PC. …”
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Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm
Published 2020“…Thus, a web-based route optimization is proposed with the objectives of developing a system that is able to find the shortest route to deliver. …”
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Final Year Project / Dissertation / Thesis -
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A hybrid algorithm for improving the quality of service in MANET
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Quality of service and scheduling performance optimization in LTE networks / Abubakar Auwal Idris
Published 2017“…This research proposed an optimal downlink scheduling algorithm called Video Real-Time Scheduling Algorithm (VRTSA) to support real-time traffic of video in LTE network. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…VL-WIDE was also integrated with the solution selection model based on the Analytical Hierarchical Process (AHP) that considers decision-maker preference for the optimized objectives. Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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