Search Results - (( using simulation a algorithm ) OR ( software optimization sensor algorithm ))
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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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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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GbLN-PSO Algorithm for indoor localization in wireless sensor network
Published 2020“…A comparison of the performances of PSO and GbLN-PSO in terms of localization error (accuracy) and computation time is presenting using simulation in Matlab. …”
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Vehicle communications: Sensitive node election SNE algorithm achieves optimized QoS
Published 2026“…Furthermore, the SNE algorithm uses a metric based on transmission distance and can dynamically adapt to application requirements, such as prioritizing it provides high throughput and minimized delay. …”
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Modeling of static and dynamic components of bio-nanorobotic systems
Published 2012“…The first modeling technique applies graph algorithms to compute a new set of optimal weighted structural properties of C60 and C70 fullerenes. …”
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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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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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8
PID-PSO DC motor position controller design for ankle rehabilitation system
Published 2023“…The control algorithms also aim to be analyzed using an incremental rotary encoder sensor device as closed-loop feedback for dorsiflexion and plantarflexion movement. …”
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Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower
Published 2018“…Therefore, this study aims to develop a new health monitoring system for communication towers based on AdaBoost, Bagging, and RUSBoost algorithms as hybrid algorithm, which can predict the damage by using noisy, random, unstable, and skewed frequency data with high accuracy. …”
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10
Feasibility study on utilization of stub loaded miniature monopole antenna for forwards scattering micro-radar (FSR) network project: article / Hamid Salim
Published 2013“…The main application of the antenna is purposely for the Forward Scattering Micro-Radar (FSR) network project which had been carried out by some other researchers from University of Birmingham during the last few years. The simulation result of the miniature antenna design by using the Computer Simulation Technology (CST) Studio Suite software will be analyzed and performance analysis will be conducted by comparing with the Commercial Off-The-Shelve (COTS) antenna which had been used before for the prototype of the sensor network. …”
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Direct Adaptive Predictive Control For Wastewater Treatment Plant
Published 2012“…This N4SID plays the role of the software sensor for on-line estimation of prediction matrices and control matrices of the bioprocess, joint together with model predictive control (MPC) in order to obtain the optimal control sequence. …”
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Feasibility study on utilization of stub loaded miniature monopole antenna for forwards scattering micro-radar (FSR) network project / Hamid Salim
Published 2013“…The main application of the antenna is purposely for the Forward Scattering Micro-Radar (FSR) network project which had been carried out by some other researchers from University of Birmingham during the last few years. The simulation result of the miniature antenna design by using the Computer Simulation Technology (CST) Studio Suite software will be analyzed and performance analysis will be conducted by comparing with the Commercial Off-TheShelve (COTS) antenna which had been used before for the prototype of the sensor network. …”
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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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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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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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FuMAM: fuzzy-based mobile agent migration approach for data gathering in wireless sensor networks
Published 2018“…An MA is a software component that can migrate among network nodes by following an assigned itinerary (or path). …”
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Virtual Force Algorithm and Cuckoo Search algorithm for node placement technique in wireless sensor network
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…Diabetic ketoacidosis is a complication of diabetes that occurs when body cannot produce insulin necessarily to convert glucose into energy, instead fat is used as energy source and produce ketone as a byproduct. …”
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Investigation of the optimal sensor location and classifier for human motion classification
Published 2022“…In addition, this study seeks to find the best classification algorithm for human daily activities. The data recorded at these three locations were analysed using several classification algorithms in both Orange software and MATLAB. …”
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