Search Results - (( policy implementation developing algorithm ) OR ( framework implementation drops algorithm ))
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…The first algorithm, named as Framework Initialization algorithm, is developed to initialize the framework and discovering the subsystems configured in order to derive the interoperation tasks. …”
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Immune-based technique for undergraduate programmes recommendation / Muhammad Azrill Mohd Zamri
Published 2017“…Based on the framework, a prototype was implemented to evaluate the accuracy of the proposed technique. 52% is the highest accuracy obtained from the technique by using ten-fold cross validation. …”
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Conceptual framework for lightweight ciphertext policy-attribute based encryption scheme for internet of things devices / Norhidayah Muhammad and Jasni Mohamad Zain
Published 2019“…Therefore we propose a lightweight Ciphertext Policy-Attribute Based Encryption (CP-ABE) algorithm to implement in IoT devices. …”
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Investigation and modelling of building energy management system for sustainable energy usage
Published 2024text::Final Year Project -
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Cache replacement algorithm using hierarchical allocation scheduling
Published 2014“…Therefore, this research is an effort of developing a conceptual model of the cache replacement policy. …”
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VANET SECURITY FRAMEWORK FOR LOW LATENCY SAFETY APPLICATIONS
Published 2012“…However, these solutions still do not satisfy the existing safety applications standard or have larger message size due to increased message drop ratio. In this thesis, a security framework is presented; one that uses both standard asymmetric PKI and symmetric cryptography for faster and secured safety message exchange. …”
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A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia
Published 2018“…In this research, a hybrid model of system dynamics (SD) and genetic algorithm (GA) was developed to determine the optimal policy in increasing the CPO production in Malaysia. …”
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A Toolkit for Simulation of Desktop Grid Environment
Published 2014“…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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A federated usage control framework with ontology-based policy and elimination of irrelevant rules set algorithm for grid computing authorization
Published 2019“…The results indicate that, by implementing the UBACO, the weighted comprehensive complexity is reduced by 40.5% as compared to the UCON based policy proposed by Martinelli and Mori (2010). …”
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Bio-inspired network on chip having both guaranteed throughput and best effort services using fault-tolerant algorithm
Published 2018“…Cache updates is an example of BE noncritical traffic. In this paper, we implement a novel biologically inspired fault-tolerant algorithm that provides both GT and BE QoS. …”
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Bio-inspired network on chip having both guaranteed throughput and best effort services using fault-tolerant algorithm
Published 2018“…Cache updates is an example of BE noncritical traffic. In this paper, we implement a novel biologically inspired fault-tolerant algorithm that provides both GT and BE QoS. …”
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CHID : conditional hybrid intrusion detection system for reducing false positives and resource consumption on malicous datasets
Published 2017“…The result of the evaluation showed that CHID gains a significant performance improvement in terms of resource consumption and packet drop rate, compared to the default packet-based detection implementation. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In the benchmarking of the SKF and ssSKF algorithms’ performance in solving the 14-hole PCB drill path optimization case study with recent implementations, on average, both algorithms show the ability to converge to the optimal solution at a smaller number of function evaluations compared to the Gravitational Search Algorithm (GSA), Cuckoo Search (CS), and Intelligent Water Drop (IWD), although fall-short to the Taguchi- Genetic Algorithm optimization algorithm.…”
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Development of Blockchain-Based Secure Wide Area Measurement System for Smart Grid Integration
Published 2021“…Subsequently, the thesis demonstrates the implementation of proposed framework for secure phasor data sharing. …”
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Runtime pluggable CPU scheduler for linux operating system
Published 2010“…It also provides a flexible interface for kernel developers which facilitates the evaluation and testing for their newly developed scheduling algorithms. …”
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Efficient cache replacement policy for minimizing error rate in L2-STT-MRAM caches
Published 2018“…The performance analysis of the proposed algorithm ensures its effectiveness in reducing the WER and cost overheads as compared to the conventional LRU technique implemented on SRAM cells.…”
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Enhanced Mobility Solution In Mobile Ipv6 Network
Published 2008“…The interface selection algorithm was based on NEMO implementation structure using a technique of mutihoming which was extended to MIPv6 concepts The outcome of this research work are: a designed policy protocol for policy messages communication between the Mobile Router and the Home Agent, the framework is simulated using Network Simulator (NS2) with an extension of mobiwan, the result shows the end to end delay, average end to end delay, overhead, optimal routing path, average inter-packet latency and throughput of the developed system. …”
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An Improve k-NN Classifier using Similarity Distance Plot-Data Reduction and Dask for Big Datasets
Published 2025“…The k-Nearest Neighbour (k-NN) algorithm is one of the most widely used Instance-Based Learning methods due to its simplicity and ease of implementation. …”
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