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Year: 2011, Volume: 11, Number: 4
... (SingleEndedCondEq) or double- ended model is organized as a set of radial networks which can be (DoubleEndedCondEq) conductors, and these ends are weakly meshed ... model describing large electricity power the following phases: coarsening, partitioning, and distribution network. Experiments show that SR refinement (or uncoarsening). Coarsening is an ...
Year: 2017, Volume: 17, Number: 3
... of arrhythmias in [6] and another complex combination of K-Nearest Neighbors, neural networks and a Index Terms — complexity theory, decision trees, fuzzy system is ... . A new required for complexity calculus, a cloud computing solution fuzzy clustering neural network architecture is proposed to with executable code deployment is also proposed. classify ten ...
Year: 2017, Volume: 17, Number: 4
... are the coefficients of a load model power P) coefficients was used for distribution networks consisting of constant impedance Z, constant current I and considering the mutual coupling ... Voltage Reduction (CVR) algorithm in a or devices [3]. distribution network with distributed generations (DG) units CVR has been widely tested and employed ...
Year: 2019, Volume: 19, Number: 3
... P. Nuutinen, and J. Ylitalo, scale MIMO-based wireless backhaul in 5G networks," IEEE "Improving clustering performance using multipath component Wireless Commun., ... , Number 3, 2019 Estimation of Spatial Channel Model in a Wireless Ultra-Wide-Area Backhaul Network using the Deterministic Ray Tube Method Daljae YUN1, Youngdam KIM2, Inil JUNG1 ...
Year: 2013, Volume: 13, Number: 2
... delays of the analog reliably convergent in comparison with classical iterative filter and the all-pass networks are added because of their techniques [11]. cascade connection. A ... was the y High convergence velocity and stability. main optimization objective using an all-pass network, see y Applicability to multidimensional problems. Figure 3. It is a ...
Year: 2011, Volume: 11, Number: 3
... paper we use the Kohonen neural network as a classifier and language using Kohonen neural networks. The study focused we will compare the level of performance achieved by the ... heavily impaired pronunciations of 'r' consonant in Romanian paper we use the Kohonen neural network as a classifier and language using Kohonen neural networks. The study focused we ...
Year: 2023, Volume: 23, Number: 3
... Models (HMM), Support Vector Machines (SVM), and Convolutional Neural Networks (CNN), motivation of this research study is to demonstrate that by ... CNN-based ASR system phase, the Viterbi decoder was employed to estimate the Convolutional Neural Network (CNN) is a Deep Learning most probable state sequence. Phone-level transcription ...
Year: 2015, Volume: 15, Number: 4
... . Chu, "Long-term voltage instability detections of multiple fixed-speed induction generators in distribution networks TABLE B1. TRANSFORMER ULTC PARAMETERS using synchrophasors," IEEE Transactions on Smart ... and streamed onto a communication buses of interest are related to the voltage level by network for load and generator clustering, and voltage computing the reduced Jacobian of the ...
Year: 2023, Volume: 23, Number: 1
... Nguyen Luong Bang, Danang, Vietnam lhlam@dut.udn.vn 1 Abstract — The transmission network can enhance its Switching transmission lines in and out of service has economic advantages ... the possibility of system instability when severing too many respectively. The constraints indicate the network's physical lines simultaneously. They lack the force required to limit operational boundaries. ...
Year: 2011, Volume: 11, Number: 1
... to comply with it, both probable practical case in low voltage (0.4kV) networks (SSC in current wave shape and in current harmonic emission= 4000 kVA ... THDI dependence on number of PCs (NPC) in a cluster, affected by network parameters and load side parameters of THDI= f (NPC), is ...
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