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246 days remaining to submit papers to MIC-Civil 2022 in Zarqa, Jordan
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Paper Review Claims
# Paper ID Title Abstract Congress Claim
1 63.Cnf-1188 User Grouping for Non-Coherent DPSK Massive SIMO with Heterogeneous Propagation Conditions Most designs for multi-user non-coherent massive single input multiple output (m-SIMO) uplink system based on M-DPSK are proposed for Rayleigh fading. The inter user interference complicates their usage in Rician channels. For this reason the designs had to be only considered for two users due to the high complexity at the receiver side. In the context of 5G, the scenarios may be subject to heterogeneous fading conditions. Therefore, in this paper we analyze a multi-user non-coherent m-SIMO in heterogeneous propagation conditions for contemplating more realistic scenarios, where both Rayleigh and Rician fading may be present. The performance analysis shows that the adequate user grouping with different fading in the same physical resource allows unifying the constellation for both groups of users and the detection algorithm, reducing the complexity of the receiver. Also, the number of users that may be multiplexed may be further increased thanks to the improved performance. GC-ElecEng 2021 Claim
2 40.Cnf-1189 Effect of Number of Slots on the Starting Torque of a Line-Start Three-Phase Synchronous Reluctance Motor with Double Rotor Cage Bars This paper analyses the effect of number of stator slots on the starting torque of a three-phase Line-Start Synchronous Reluctance Motor (LS-SynRM) with double rotor cage bars. The analysis focuses on distributed three-phase windings housed in 24 stator-, 36 stator-and 48 stator-slot cores. The machines have been designed with the same dimensions and rotor specifications but with different number of turns per phase. A winding function approach is utilized to study the magnetomotive force (MMF) distribution of each stator winding configuration under full-load operation. The steady-state equivalent circuits are used to describe the engineering problem, and analyze the effect of rotor slots and the distribution of rotor current in cage bars during starting and acceleration periods. The analysis in this paper takes into account the skin-effect coefficients of both rotor cages during starting and acceleration periods. The 2D Finite Element Analysis (FEA) under ac magnetic transient solution is used to study the flux-density and the torque characteristics, under full-load operation. The FEA results evidenced that all three LS-SynRMs stall for about ± 20 mSec at starting, before the acceleration begins. The LS-SynRM with 24 stator slots has longer acceleration time of about ± 9 mSec before reaching the synchronous operation, as compared to the motors with 36 and 48 stator slots. GC-ElecEng 2021 Claim
3 62.Cnf-1185 Propagation, blocking and coverage in urban 5G wireless networks at FR1 and FR2 bands This paper relates the problem of coverage in urban 5G wireless networks with relevant propagation and blocking models using a set of simulations performed in MATLAB and Open Street Maps. From a statistical analysis of these results, major characteristics that define this problem are extracted and discussed from a theoretical viewpoint. Further, a review of the current IMT-2020 and 3GPP standards on radiopropagation for 5G have been carried out. GC-ElecEng 2021 Claim
4 43.Cnf-1181 K-means clustering of Alae Nasi and Diaphragmatic muscles activation timing as an indicator to inspiratory effort level: A proof of concept. The objective of this paper is to develop a non- invasive robust indicator to the inspiratory effort of a patient under mechanical ventilation. This indicator leads to the inspiratory effort detection as well as to the estimation of its level more reliably and earlier than the classical systems based on flow signal thresholding. Hence, the present work analyses the capability of inspiratory effort level estimation by the observation of the synchronization of the Alae Nasi and the diaphragmatic muscles activations. First, an experimental protocol is suggested to simulate the patient-ventilator coupling. Then, the evolution of muscular activation timing -versus the inspiratory effort level- is studied on acquired EMG and flow signals. Finally, a multidimensional clustering approach is applied in order to separate timing features into classes indicating the different effort levels. GC-ElecEng 2021 Claim
5 39.Cnf-1183 Investigation of the possibility of using Single-Electron Transistors in Digital-to-Time Converters Single-Electron-Transistor (SET) features are exploited to improve the performance and the area of digital-to-time domain analog converters. There are two DTCs proposed in this research, DTC1 and DTC2, which have 4 and 8 transistors less compared with previous research, respectively. In the beginning, DTC1 and DTC2, are designed and simulated using CMOS transistors. Afterwards, the area, the power consumption and the delay parameters are discussed. In the rest, the mentioned DTCs are designed and simulated using SET instead of CMOS. Although power consumption and area were extremely reduced, it is shown that the delay parameter had an unacceptable increase. Finally, to overcome delay issue, combination of SET and CMOS was exploited to design and simulate DTCs. The simulations’ results have shown improvement in delay parameter; especially it is found that Hybrid-DTC2 has the best performance in comparison with all designs. GC-ElecEng 2021 Claim
6 40.Cnf-98 Power Losses minimization at Bus Voltage in Transmission Lines: (A Case Study of Nigerian 28 Bus System) Inadequate supply of power is increasing day by day and causing a lot of problems and affecting various sectors of the country. This work involves the power analysis on the 28-bus network of the Nigeria 330kV integrated power system. The network consists of twenty-eight (28) buses, nine (9) generation stations, and fifty-two (52) transmission lines. Newton-Raphson (N-R) method of power flow analysis was carried out on the network using the relevant data. This analysis was carried out using PSS®E to determine bus voltages, real and reactive power losses of the integrated network. The work also involves carrying out line outages on various parts of the network to determine the effects on power losses and bus voltages. The results show that the following buses were not in line with the statutory limit of 0.95≤Vi≤1.05: bus 13 (New-Heaven), bus 14 (Onitsha), bus 16 (Gombe), bus 19 (Jos), bus 22 (Kano). Bus 16 was observed to not satisfy the limit during the analysis going as low as 0.7602p.u. in one of the line outages (Makurdi-Mambila off). The total losses was also determined and the highest power loss was observed when Makurdi-Mambila line was taken out of service (142.54MW, 1072.16MVAR) and the lowest loss was observed when the double transmission line between Benin-Sapele were both taken out of service(105.0MW, 830.50MVAR). This result concludes that the Nigeria network still needs to undergo changes to ensure sustainable and reliable power system. Compensation is recommended on the above stated weak buses using Flexible Alternating Current Transmission System (FACTS). GC-ElecEng 2021 Claim
7 63.Cnf-1184 Detection of Sickle Cell, Megaloblastic Anemia, Thalassemia and Malaria through Convolutional Neural Network This paper presents an alternative method to diagnose Malaria and Anemia (Sickle Cell Anemia, Megaloblastic Anemia and Thalassemia) as well as to differentiate between them. First, different related high resolution images of blood samples are taken from multiple datasets. Second, Convolutional Neural Networks technique is implemented and applied in order to process the images without the need of the standard protocol of Complete Blood Count (CBC) test. The implemented convolutional Neural Network (CNN) has been designed using Python to train on a number of microscopic images. After completing the training phase, the built model has been tested on other images to classify them into normal blood cells, Malaria, Sickle cell anemia, Megaloblastic anemia or Thalassemia. Third, the diagnosis is made based on the outcomes. Finally, the accuracy of results is assessed. The total accuracy of the test is 93.4%. The suggested approach yields promising outcomes that help diagnose blood samples faster, with low cost as well as without the need of an analysis laboratory. GC-ElecEng 2021 Claim
8 40.Cnf-104 Dynamic Power System Behavior Identification of a Photovoltaic Generator using Probabilistic Algorithm The increasing burden on conventional energy sources and the environmental problems are motivating the world towards the use of solar energy as it offers various advantages such as lack of emission of greenhouse gases, everlasting sun energy and low maintenance cost. The performance of solar system is influenced by partial shaded conditions (PSC). This results in reduction of power from photovoltaic (PV) system. Photovoltaic (PV) cells have non-linear electrical characteristic with only one operating point at which it maximally utilize the energy of solar radiation by using PV generators. This paper examined the dynamic behavior of a photovoltaic system with the consideration of the transient stability by means of a probabilistic approach using Particle Swarm Optimization (PSO) Algorithm. The recommended technique provides robustness, high efficiency and reliability towards maximum power point (MPP). The accuracy of intended algorithm is validated using MATLAB SIMULINK with DC-DC boost converter and results have been compared with perturb and observe (PO) approach. GC-ElecEng 2021 Claim
9 40.Cnf-1190 Analysis of a Nine-Phase Tangential-Flux Permanent Magnet Motor with Skewed Stator and Dual Rotor Hubs for Electric Vehicles High torque density, wide-constant power operating region, wide speed range, high efficiency, low torque ripple and low cogging torque are desirable performance indexes in battery electric vehicles (BEVs) and hybrid electric vehicles (HEVs). Tangential Flux Permanent Magnet (TFPM) motors are strong contenders in BEVs and HEVs due to highest flux and torque densities. This paper presents the performance of a nine-phase phase TFPM motor with skewed stator and dual rotor hubs. First of all, the initial motor is design with a single rotor magnetic hub of a mild steel material M800-50A and a non-skewed stator. Second, the stator of initial motor is skewed as a function of stator slot pitch angle, and then as function of rotor magnet pole pitch angle to study the effect on performance parameters of interests. At last, the best skewed angle is selected for the final design, which consists of a dual rotor hub. The upper rotor hub is made of high-grade steel M250-35A and a single air barrier per rotor magnet pole. The lower rotor hub uses a mild steel material like the one used in the initial design. The design topologies were modelled using Finite Element Method (FEM). From the Finite Element Analysis (FEA) results, the proposed nine-phase TFPM motor with skewed stator and dual rotor hubs has shown to have a high torque per rotor volume, high average torque, reduced torque ripple and cogging torque, while having a high peak torque and wide speed range capability. GC-ElecEng 2021 Claim
10 61.Cnf-1192 A 2-d State Observer Using Particle Filter by Incorporation of Batch-to-batch Dynamics In batch processes with unmeasured states, state estimation problem is essential for control, monitoring and optimization of the process. In solving that problem, most state observers are inherently confined within a single batch. In this work, a state observer algorithm is designed taking into account the batch-to-batch relations in addition. First, A state-space model is introduced to characterize the state transitions along both time dimension and batch dimension. Then, an on-line alignment method that deals with the batch-to-batch shift problem is suggested. As practical environments are often non-linear and/or non-Gaussian, a 2-d particle filter algorithm is presented, based on the 2-d state space model, to approximate the optimal solution of the Bayesian state estimation equations. The performance of the proposed state observer is evaluated by an application on a simulated chemical batch process. GC-ElecEng 2021 Claim
11 62.Cnf-106 Optical Communications Through Low Orbit Satellites Current societal needs demand for global high-speed networks. Toward this regard, 3GPP has included in its release 17 Non-Terrestrial Networks (NTN). In order to meet the strict requirements of 6G networks, Very Low Earth Orbit (VLEO) and Low Earth Orbit (LEO) satellites will play a key role. However, optical fibers also can be used for transmitting data at high speeds. Unfortunately, their refraction index is much larger than the satellite one (i.e. free space), but the large altitude of satellites penalize them. So, there is a distance in which it will be better to use one or other transport network. This work determines this distance. For a fair comparison in terms of bandwidth, it has been assumed that the LEO/VLEO satellites should be optical too. Furthermore, it has been developed a parallel algorithm to collocate an optical LEO/VLEO ground station to provide 6G service. As a paradigmatic case of study, it has been considered the Iberian peninsula. EUMETSAT has provided the images and the parallel program uses the OpenMP libraries for Python. GC-ElecEng 2021 Claim
12 61.Cnf-1191 Methodology of Adaptive Inverse Control Based on Volterra Model via Modified Variable Step Size Fractional Least Mean Square Algorithm In this paper, a new methodology of nonlinear Direct Adaptive Inverse Control (DAIC) based on Volterra model is proposed. Using the model based on Volterra series, it is possible to track the plant inverse dynamic in a structure composed of linear and nonlinear terms. The proposed formulations for the control methodology were developed for a Volterra series truncated up to the second order kernel. The update of the estimate of the weights vector of Volterra model was performed by the Modified Variable Step Size FLMS (MVSS-FLMS). Since the Volterra model is able to represent nonlinear dynamics of polynomial type, the evaluation of the proposed control methodology was performed on a system described by a Nonlinear AutoRegressive with eXogenous inputs (NARX) model. GC-ElecEng 2021 Claim