Search Results - (( using simulation sensor algorithm ) OR ( software optimization based algorithm ))
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1
Even-odd scheduling based energy efficient routing for wireless sensor network (WSN) / Muhammad Zafar Iqbal Khan
Published 2022“…The performance of the proposed routing algorithm has been evaluated through simulations of well-known software MATLAB. …”
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2
Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration
Published 2014“…Ant colony optimization algorithm is employed for this purpose. …”
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3
GbLN-PSO Algorithm for indoor localization in wireless sensor network
Published 2020“…In this paper, we propose an indoor localization in WSN based on Global best Local Neighbourhood Particle Swarm Optimization (GbLN-PSO) algorithm. Three anchors are used as the distance measurement for each unknown node to be localized. …”
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4
Modeling of static and dynamic components of bio-nanorobotic systems
Published 2012“…In addition, a graph algorithm based on greedy methods is employed to compute a new set of optimal weighted electronic properties of the fullerenes via computing their Minimum Weight Spanning Trees (MWSTs). …”
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5
Mathematical modeling for SnO2 gas sensor based on second-order response
Published 2013“…The data analysis has been done with Matlab software, and Genetic algorithm is further used to optimize the transfer function parameters. …”
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6
Sensor-less vector control using adaptive observer scheme for controlling the performance of the induction motor / Mazhar Hussain Abbasi
Published 2013“…Simulation is done by using the observer which uses optimal feedback gain as an example of process from algorithm design to verification of logic. …”
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7
Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower
Published 2018“…The modal frequencies of the tower are evaluated under various conditions of damage in concrete and connection in different parts of the tower by using finite element simulation. The results are used to develop the hybrid learning algorithm based on the AdaBoost, Bagging, and RUSBoost methods to predict the damage in the tower based on dynamic frequency domain. …”
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8
Artificial neural network (ANN) as post-processing stage for chemically selective field effect transistor (CHEMFET) sensor selectivity based-on ion concentration / Nurhakimah Abd A...
Published 2016“…The sensor voltage response used has been measured and also generated based on CHEMFET sensor modeling by using MATLAB software. …”
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9
A secure data authentication in wireless body area network for health monitoring using electrocardiogram-based key agreement
Published 2016“…Moreover, implementing an effective security mechanism uses a significant part of the available energy in a WBAN, whereby the sensors have limited resource constraints in terms of power consumption and memory space. …”
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Article -
10
A secure data authentication in wireless body area network for health monitoring using electrocardiogram-based key agreement
Published 2016“…Moreover, implementing an effective security mechanism uses a significant part of the available energy in a WBAN, whereby the sensors have limited resource constraints in terms of power consumption and memory space. …”
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11
Direct Adaptive Predictive Control For Wastewater Treatment Plant
Published 2012“…The adaptive control structure is based on the linear model of the process and combined with numerical algorithm for subspace state space system identification (N4SID). …”
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12
FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks
Published 2018“…Moreover, the proposed FuMAM approach outperforms the compared algorithms in terms of energy distribution usage among nodes.…”
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13
Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification
Published 2019“…In this research, the LDA gives as higher as 85.8% of accuracy with six units of the sensors used compared to SVM which is 85% of accuracy percentage with five units of the sensors used. …”
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14
Rao-blackwellized particle filter algorithm integrated with neural network sensor model using laser distance sensor
Published 2023“…Commonly, simultaneous localization and mapping (SLAM) algorithm is developed using high-end sensors. Alternatively, some researchers use low-end sensors due to the lower cost of the robot. …”
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15
Improving on the network lifetime of clustered-based wireless sensor network using modified leach algorithm
Published 2012“…This document is a study about LEACH algorithm where the implementation was done using OMNeT++ network simulator to study the performance of this algorithm in term of network lifetime. …”
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16
Simulated Kalman Filter optimization algorithm for maximization of wireless sensor networks coverage
Published 2019“…Simulated Kalman Filter (SKF) is a population based optimization algorithm inspired by the Kalman filtering method. …”
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17
Software module clustering based on the fuzzy adaptive teaching learning based optimization algorithm
Published 2019“…This paper describes the adoption of Fuzzy Adaptive Fuzzy Teaching Learning based Optimization (ATLBO) for software module clustering problem. …”
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18
Sensor Node Placement in Wireless Sensor Network Using Multi-objective Territorial Predator Scent Marking Algorithm
Published 2023“…Simulation results show that WSN deployed using the MOTPSMA sensor node placement algorithm outperforms the performance of the other two algorithms in terms of coverage, connectivity and energy usage. © 2014 King Fahd University of Petroleum and Minerals.…”
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19
Development of New Genetic Algorithm Software for Blow Mould Process
Published 2008“…The approach is based on newly development of Genetic Algorithm software. …”
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20
Towards Software Product Lines Optimization Using Evolutionary Algorithms
Published 2019“…This research provides a framework to compare the performance of different multi-objective Evolutionary Algorithms in software product line context. We report on the problem encoding, variation operators and different types of algorithms: Indicator Based Evolutionary Algorithm (IBEA), Non-Dominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Evolutionary Algorithms based on Decomposition (MOEA/D) and Strength Pareto Evolutionary algorithm II (SPEA-II). …”
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Proceeding Paper
