scholarly journals Analysis of the impact of metal thickness and geometric parameters on the quality factor-Q in integrated spiral inductors by means of artificial bee colony technique

2019 ◽  
Vol 9 (4) ◽  
pp. 2918
Author(s):  
Hamid Bouyghf ◽  
Bachir Benhala ◽  
Abdelhadi Raihani
Keyword(s):  
Integrated Circuits ◽  
Quality Factor ◽  
Artificial Bee Colony ◽  
Spiral Inductor ◽  
Geometrical Parameters ◽  
Bee Colony ◽  
Metal Thickness ◽  
Spiral Inductors ◽  
Quality Factor Q ◽  
The Impact

The goal of this present paper is to design, analysis the influence of the inductor geometrical parameters and the effect of the metal thickness on the quality factor-Q in integrated square spiral inductor using an efficient application of the artificial bee colony (ABC) algorithm. The inductors were optimized at 2.4 GHz to determinate their major geometrical dimensions (sp, w, din…) and their number of turns, for uses in radio-frequency integrated circuits (RFICs). The optimization results are validated by the simulation using an electromagnetic simulator (ADS-Momentum). Using matlab software, the study on the impact of the effect of geometrical parameters and the effect of metal thickness, on the factor of quality-Q of spiral inductors, is shown. We first reported that it is possible to improve Q-factors further by increasing the metal thickness, and in the design of inductor; a compromise must be reached between the value of w, n, sp and din to achieve the desired quality factor-Q and other electrical parameters.

Minimizing Cost of Highway Maintenance Considering the Impact of Vehicle Emissions using an Artificial Bee Colony Approach

2020 ◽  
Vol 2674 (6) ◽  
pp. 60-72
Author(s):  
Celina Semaan ◽  
Steven Chien ◽  
Ching-Jung Ting
Keyword(s):  
Vehicle Emissions ◽  
Artificial Bee Colony ◽  
Motor Vehicle ◽  
Well Being ◽  
Work Zone ◽  
Emission Rates ◽  
Traffic Demand ◽  
Abc Algorithm ◽  
Bee Colony ◽  
The Impact

The increasing traffic demand has reduced the efficiency of road networks and intensified the maintenance need for mobility and safety, increasing vehicle emissions, reducing air quality, and affecting climate change. To mitigate the negative impacts of work zone activities, a reliable method that can optimize spatio-temporal work zone activities is desirable. Previous studies have aimed to minimize the total cost, including maintenance, user delay, and accident costs, yet the associated environmental impact has been neglected. This study aims to optimize work zone activities using the artificial bee colony (ABC) algorithm, considering the cost of vehicle emissions in addition to the aforementioned costs for an environmentally sustainable optimization. MOtor Vehicle Emission Simulator (MOVES) is applied to calculate emission rates. The results show that the ABC algorithm is very efficient to search for the optimal solution that yields the minimum cost taking into account the well-being of the environment.

scholarly journals Using bees algorithms for solution of radar pavement monitoring inverse problem

2014 ◽  
Vol 15 (1) ◽  
pp. 53-66
Author(s):  
Alexander Krainyukov ◽  
Valery Kutev ◽  
Elena Andreeva
Keyword(s):  
Inverse Problem ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Physical Characteristics ◽  
Frequency Range ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Pavement Monitoring ◽  
Tree Models ◽  
The Impact

Abstract This work has focused on using of Bee Algorithm and Artificial Bee Colony algorithm for solution the inverse problem of subsurface radar probing in frequency domain. Bees Algorithms are used to minimize the aim function. Tree models of road constructions and their characteristics have been used for solution of the subsurface radar probing inverse problem. There has been investigated the convergence of BA and ABC algorithms at minimisation of the aim function of the inverse problem of radar subsurface probing of roadway structures. There has been investigated the impact of free arguments of BA and ABC algorithm, width of the frequency range and width of the searching interval on the error of reconstruction of electro-physical characteristics of layers and duration of algorithm operating. There has been investigated the impact of electro-physical characteristics of roadway structure layers and width of the frequency range on aim function of radar pavement monitoring inverse problem.

scholarly journals Impact of Superconductors’ Properties on the Measurement Sensitivity of Resonant-Based Axion Detectors

Instruments ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Andrea Alimenti ◽  
Kostiantyn Torokhtii ◽  
Daniele Di Gioacchino ◽  
Claudio Gatti ◽  
Enrico Silva ◽  
...  
Keyword(s):  
Quality Factor ◽  
Cold Dark Matter ◽  
Vortex Motion ◽  
Lateral Wall ◽  
Measurement Sensitivity ◽  
Frequency Magnetic Field ◽  
Order Of Magnitude ◽  
Temperature Ranges ◽  
Quality Factor Q ◽  
The Impact

Axions, hypothetical particles theorised to solve the strong CP problem, are presently being considered as strong candidates for cold dark matter constituents. The signal power of resonant-based axion detectors, known as haloscopes, is directly proportional to their quality factor Q. In this paper, the impact of the use of superconductors on the performances of haloscopes is studied by evaluating the obtainable Q. In particular, the surface resistance Rs of NbTi, Nb3Sn, YBa2Cu3O7−δ, and FeSe0.5Te0.5 is computed in the frequency, magnetic field, and temperature ranges of interest, starting from the measured vortex motion complex resistivity and the screening lengths of these materials. From Rs, the quality factor Q of a cylindrical haloscope with copper conical bases and a superconductive lateral wall, operating with the TM010 mode, is evaluated and used to perform a comparison of the performances of the different materials. Both YBa2Cu3O7−δ and FeSe0.5Te0.5 are shown to improve the measurement sensitivity by almost an order of magnitude, with respect to a whole Cu cavity, while NbTi is shown to be suitable only at lower frequencies (<10 GHz). Nb3Sn can provide an intermediate improvement of the whole spectrum of interest.

scholarly journals Artificial bee colony algorithm applied to optimal power flow solution incorporating stochastic wind power

2021 ◽  
Vol 12 (3) ◽  
pp. 1890
Author(s):  
Vian H. Ahgajan ◽  
Yasir G. Rashid ◽  
Firas Mohammed Tuaimah
Keyword(s):  
Wind Power ◽  
High Performance ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Artificial Bee Colony ◽  
Wind Farms ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Optimal Power ◽  
The Impact

<span lang="EN-US">This paper focuses on the artificial bee colony (ABC) algorithm, which is a nonlinear optimization problem. is proposed to find the optimal power flow (OPF). To solve this problem, we will apply the ABC algorithm to a power system incorporating wind power. The proposed approach is applied on a standard IEEE-30 system with wind farms located on different buses and with different penetration levels to show the impact of wind farms on the system in order to obtain the optimal settings of control variables of the OPF problem. Based on technical results obtained, the ABC algorithm is shown to achieve a lower cost and losses than the other methods applied, while incorporating wind power into the system, high performance would be gained.</span>

Application of Negative Resistance in the Inductor Feedback Oscillators Based on Multisim

2014 ◽  
Vol 556-562 ◽  
pp. 1898-1901
Author(s):  
Yu Lei ◽  
Jian Feng Ai
Keyword(s):  
Quality Factor ◽  
Negative Resistance ◽  
Circuit Performance ◽  
Oscillation Circuit ◽  
Start Up ◽  
Loss Resistance ◽  
In Series ◽  
Quality Factor Q ◽  
The Impact ◽  
The Ideal

By analyzing three-point oscillator of inductance feedback with the loss resistance of the inductor,we found the loss resistance of the inductor is a major factor in affecting circuit performance. Negative resistance in series with loss resistance can offset the impact of the loss resistance in the circuit. Oscillation circuit Start-up easilier. The quality factor Q increases and the selectivity is better.The oscillation shape closer to the ideal oscillator.

Rounded Square Ring Resonator Based Add Drop Filter for Wdm Applications Using Two Dimensional Photonic Crystals

2021 ◽  
Author(s):  
Massoudi Radhouene ◽  
V R Balaji ◽  
Monia Najjar ◽  
S Robinson ◽  
Vijay Janyani ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Quality Factor ◽  
Wavelength Division Multiplexing ◽  
Ring Resonator ◽  
Filter Design ◽  
Structural Parameters ◽  
Transmission Efficiency ◽  
Square Lattice ◽  
Two Dimensional ◽  
The Impact

Abstract In this paper, two dimensional photonic crystal based Add Drop filter is designed for DWDM applications. The existing work concentrate in Coarse Wavelength Division Multiplexing (CWDM) and few filter design with DWDM with non-uniform channel spacing, and low quality factor. . The proposed Add Drop Filter (ADF) enhances the quality factor using Rounded Square Ring Resonator (RSRR) for ensuring efficient bandwidth in supporting WDM systems. The design consists of bus waveguide, drop waveguide and RSRR with inner quasi-square ring in the square lattice while dielectric constant of the Si rod is 11.68 which are hosted in the air. The line defect was created by removing 4 rods (Quasi ring) in the center of the inner square ring. The line defects in the cavity help to reduce the radiation field components surrounded by the resonator. The proposed design drops the unique wavelength 1636.2 nm from a spectrum. The performance parameters of ADF are investigated using 2D Finite Difference Time Domain (FDTD) algorithm. The proposed ADF drops the narrow bandwidth of 0.7 nm, high quality factor of 2337, dropping efficiency (ON State) of 100 %, which is highly sufficient to support WDM systems for future Photonic Integrated Circuits (PIC). Further, the impact of functional parameters such as transmission efficiency, quality factor, bandwidth are investigated by varying the structural parameters, namely, adjacent rod radius, scatterer rod radius, coupling rod radius, lattice constant, inner rod radius and rod radius. The size of the device is 412.76 µm2.

A Novel Variable Population Size Artificial Bee Colony Algorithm with Convergence Analysis for Optimal Parameter Tuning

2017 ◽  
Vol 16 (03) ◽  
pp. 1750018 ◽  
Author(s):  
Nasr Elkhateeb ◽  
Ragia Badr
Keyword(s):  
Convergence Analysis ◽  
Population Size ◽  
Food Source ◽  
Artificial Bee Colony ◽  
Food Sources ◽  
Abc Algorithm ◽  
Bee Colony ◽  
Variable Population ◽  
The Impact ◽  
Variable Population Size

This paper introduces a novel algorithm called variable population size artificial bee colony (VPS-ABC) optimization algorithm. VPS-ABC is proposed to overcome the impact of the effect of initial population and improve the convergence rate of classical ABC. The main idea is based on reducing the number of food sources gradually and moving the bees towards the global best food source in each re-initialization process. Moreover, an analysis for convergence of the ABC algorithm is proofed in details. The convergence analysis is based on the relation between ABC variants and the general solution of the food source regeneration equation. To show the fitness of the proposed algorithm, a comparison is made between VPS-ABC versus classical ABC, PSO, and GA algorithms in tuning the proportional-integral-derivative (PID) controllers. Simulation results show that VPS-ABC algorithm is highly competitive, often outperforming PSO and GA algorithms.

scholarly journals Design of a multilayer on-chip inductor by computational electromagnetic modelling

2019 ◽  
Vol 70 (5) ◽  
pp. 379-385
Author(s):  
Muneeswaran Dhamodaran ◽  
Subramani Jegadeesan ◽  
Arunachalam Murugan
Keyword(s):  
Quality Factor ◽  
Method Of Moments ◽  
Spiral Inductor ◽  
Electromagnetic Modeling ◽  
Technological Parameters ◽  
Full Field ◽  
Electromagnetic Model ◽  
Electromagnetic Modelling ◽  
Spiral Inductors ◽  
On Chip

Abstract This paper presents a design of typical multilayer on-chip inductor to determine the layout parameters of the desired inductance value of electromagnetic modeling. The inductance and quality factor of multilayer on-chip spiral inductors are determined by its layout parameters and technological parameters. These layout parameters must be optimized to obtain the maximum quality factor at the desired frequency of operation. An electromagnetic model with fewer assumptions than empirical equations and higher efficiency than full-field solvers would be welcome. So would facile comparisons of different inductor structures. This paper describes recent works on the electromagnetic modeling of on-chip inductor structures applied to the comparison of inductor geometries, including the traditional spiral inductor and a novel multilayer inductor. The electromagnetic modeling of the investigative model is presented. The modeling and simulation are implemented using the method of moments. To simulate the proposed algorithm, the EM Simulator software is used.

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