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191. A Study on LoRa Signal Propagation Models in Urban Environments for Large-scale Networks Deployment
Year: 2021, Volume: 21, Number: 4
... 4, 2021 A Study on LoRa Signal Propagation Models in Urban Environments for Large-Scale Networks Deployment Adrian Ioan PETRARIU1,2, Partemie-Marian MUTESCU1, Eugen COCA1, Alexandru ... sensors connected to the elevation changes, clutter losses or dense vegetation regions global IoT network can be seen in Figure 1. According to that attenuate the radio signals ...
Year: 2011, Volume: 11, Number: 3
... Number 3, 2011 An Optimal Spectrum Handoff Scheme for Cognitive Radio Mobile Ad Hoc Networks Jiaqi DUAN, Yong LI School of Electronics and Information, Northwestern Polytechnical University ... (CR) users and aim to help the CR users characteristics in the CR network, the CR network needs to to vacate the spectrum rapidly and find available ...
Year: 2018, Volume: 18, Number: 1
... on 33 bus residential DE is a population based algorithm. Each chromosome is distribution networks serving 1000 houses with nominal exposed to mutation, cross over and selection operators ... Volume 18, Number 1, 2018 Optimization of Charge/Discharge Coordination to Satisfy Network Requirements Using Heuristic Algorithms in Vehicle-to-Grid Concept Ahmet DOGAN, Serkan BAHCECI, Ferhat ...
Year: 2014, Volume: 14, Number: 4
... station, technology, achieving a high quality seamless mobility access namely: across mobile networks is the present challenge to research and (i) A user prediction approach ... . Resource allocation tracking is added to enables users to select the most appropriate target network the cell prediction approach to come up with less handover technology based on their ...
Year: 2019, Volume: 19, Number: 2
... . Duration of Interruption per Consumer Unit. The proposed The analysis of power distribution networks has been methodology consists in choosing feeders to receive Self- Healing system based ... and cluster selection has great impact on the system level of medium voltage in distribution network. However, operation since it is related to the number of served consumers ...
Year: 2010, Volume: 10, Issue: 3
... network, Distribution In this paper, a new approach based on the wavelet packet networks, Fault detection, High impedance fault, Wavelet transform, is used to ... transform with the analysis of the feeder responses to impulse waves which an artificial neural network(ANN). Wavelet packet is firstly are periodically injected at the feeder ...
Year: 2021, Volume: 21, Number: 3
... in deal with this problem, high-resolution quantizers are addition to compression, in neural networks, the application of usually used, increasing complexity. In this paper, ... Engineering Volume 21, Number 3, 2021 Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution Zoran PERIC, Bojan DENIC, Milan DINCIC, Jelena ...
Year: 2018, Volume: 18, Number: 3
... TSTF) is one of the nonlinear functions used in Artificial based applications. Neural Networks (ANNs). As TSTF includes exponential Transfer functions used in ANNs are ... 3, 2018 Implementation of High Speed Tangent Sigmoid Transfer Function Approximations for Artificial Neural Network Applications on FPGA Ismail KOYUNCU Afyon Kocatepe University, Department of Electrical Electronics Engineering ...
Year: 2011, Volume: 11, Number: 1
... Volume 11, Number 1, 2011 Blind Source Separation for Convolutive Mixtures with Neural Networks Botond Sandor KIREI, Marina Dana ŢOPA, Irina MURESAN, Ioana HOMANA, ... resulting in multipath considered to be convolutive ones. Time domain algorithms (as neural network based blind source separation) are not suitable propagation with large channel delay spread ...
Year: 2011, Volume: 11, Number: 2
... , Number 2, 2011 A New Filter Design Method for Disturbed Multilayer Hopfield Neural Networks Choon Ki AHN Faculty of the Department of Automotive Engineering, Seoul National University ... we often need to estimate the states of neural Consider the following multilayer Hopfield neural network networks using measurements and then use the estimated with external disturbance: states of ...
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