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Wireless Sensor Networks (WSNs) have an important role in establishing the communication between the Internet of things (IoT) devices. Routing is an important research field in the WSN as it helps in finding the suitable paths for the communication. This paper proposes a multipath routing algorithm based on the optimization approach. The proposed routing algorithm has two important phases, namely,...
Utilizing a double bias scheme for graphene patterns as a single layer, a THz meta‐surface structure is proposed. The structure includes two dual bias layers and a graphene continuous sheet on top. So five possible biases are available which lead to a highly tunable absorption response. All consisting parts are modeled via passive circuit elements to obtain whole device input impedance. Then impedance...
The effects of uncertainties, primarily manufacturing tolerances but also incomplete information about operating conditions or material parameters, can be detrimental to the performance of microwave components. Quantification of such effects is essential to ensure a meaningful evaluation of the structure, in particular, its reliability under imperfect fabrication procedures. The improvement of the...
In this paper, a drain‐engineered double‐gate Tunnel‐FET (DE‐DG‐TFET) to enhance the electrical characteristics and analog parameters of a conventional DG‐TFET is proposed and examined through calibrated TCAD simulations. Unlike DG‐TFET, a constant n‐type doping, Ncd, (5 × 1017 cm−3 − 2 × 1018 cm−3), in the channel/drain regions of DE‐DG‐TFET is used, resulting in a p+‐n‐n structure instead of conventional...
The LiFi enabled smart street lighting system requires the adaptive SoC to save huge amount of power/energy for data storage, which plays an important role for any urban area development. For the above application, an energy‐efficient data‐dependent power supplied 10T SRAM cell with half‐select free read‐decoupled circuit is designed to boost stability while stacking effect controls the leakage current...
This dissertation shows energy scheduling in grid‐connected micro grid (MG) using an amazing hybrid method for optimal energy management. The hybrid method is the mixture of Radial Basis Neural Function Network (RBFNN) and Bumble Bees Mating Optimization (BBMO) and is therefore referred to as RBFNN–BBMO technique. The MG system consists of photovoltaic, wind turbine, battery storage and micro turbine...
System design centering process looks for nominal values of system designable parameters that maximize the probability of satisfying the design specifications (yield function). Statistical design centering implements a statistical analysis method such as Latin hypercube sampling (LHS) for yield function estimation and explicitly optimizes it. In this paper, we introduce a new statistical design centering...
Design of high‐frequency structures, including microwave and antenna components, heavily relies on full‐wave electromagnetic (EM) simulation models. Their reliability comes at a price of a considerable computational cost. This may lead to practical issues whenever numerous EM analyses are to be executed, e.g., in the case of parametric optimization. The difficulties entailed by massive simulations...
Electromagnetic (EM) simulations have become an indispensable tool in the design of contemporary antennas. EM‐driven tasks, for example, parametric optimization, entail considerable computational efforts, which may be reduced by employing surrogate models. Yet, data‐driven modelling of antenna characteristics is largely hindered by the curse of dimensionality. This may be addressed using the recently...
Mutual injection locking of multi‐element graphene nanoribbon impact avalanche transit time (G‐IMPATT) sources designed to operate at different millimeter‐wave (mm‐wave) and terahertz frequencies has been studied. Planar circuit is used for implementing the mutual injection locking between adjacent elements of the source operating in parallel‐connected‐power‐combined mode. The static, high frequency...
Generalized Polynomial Chaos (gPC) expansions are well established for forward uncertainty propagation in many application areas. Although the associated computational effort may be reduced in comparison to Monte Carlo techniques, for instance, further convergence acceleration may be important to tackle problems with high parametric sensitivities. In this work, we propose the use of conformal maps...
We propose four approaches to solve time‐harmonic Maxwell's equations in ℝ3 through the finite element method (FEM) in a bounded region encompassing parameter inhomogeneities, coupled with the multiple multipole program (MMP) in the unbounded complement. MMP belongs to the class of methods of auxiliary sources and of Trefftz methods, as it employs point sources that spawn exact solutions of the homogeneous...
Yield estimation of antenna systems is important to check their robustness with respect to the uncertain sources. Since direct Monte Carlo sampling of accurate physics‐based models can be computationally intensive, this work proposes the use of the polynomial chaos–Kriging (PC‐Kriging) metamodeling method for fast yield estimation of multiband patch antennas. PC‐Kriging integrates the polynomial chaos...
We present an algorithm for computing sparse, least squares‐based polynomial chaos expansions, incorporating both adaptive polynomial bases and sequential experimental designs. The algorithm is employed to approximate stochastic high‐frequency electromagnetic models in a black‐box way, in particular, given only a dataset of random parameter realizations and the corresponding observations regarding...
This work addresses geometry parameter scaling of multiband antennas for Internet of Things applications. The presented approach is comprehensive and permits redesign of the structure with respect to both the operating frequencies and material parameters of the dielectric substrate. A two‐step procedure is developed with the initial design obtained from an inverse surrogate model constructed using...
Pseudospectral techniques are known as powerful tools and highly accurate solvers to deal with partial differential equations. In the current work, a local meshless technique in Pseudospectral mode is employed to deal with an interesting and general mathematical model which describes anomalous electrodiffusion of ions in spiny dendrites, the two‐dimensional variable‐order time fractional nonlinear...
This study presents, for the first time, a novel design of ultra‐wideband (UWB), circularly polarized and highly directive log‐spiral THz photoconductive antenna. The proposed antenna is simulated in High Frequency Structure Simulator using gold as the antenna electrode material which is backed by a quartz substrate (εr = 3.78, tan δ = 0.0001) and hemispherical silicon‐based lens with a diameter of...
In the present work, the effects of interface dipoles on channel engineering and on direct tunneling current have been studied for a double gate (DG) NMOSFET with Si and In0.53Ga0.47As as channel materials. The gate tunneling current (IG) has been calculated for both type of devices and simulation results are reported using Silvaco ATLAS 3D TCAD. A gate length of 10 nm has been used for the simulations...
The major bottleneck of electromagnetic (EM)‐driven antenna design is the high CPU cost of massive simulations required by parametric optimization, uncertainty quantification, or robust design procedures. Fast surrogate models may be employed to mitigate this issue to a certain extent. Unfortunately, the curse of dimensionality is a serious limiting factor, hindering the construction of conventional...
This article presents a Bayesian extension of the vector fitting (VF) procedure for rational approximation of frequency‐domain responses. The proposed method treats the linear part of VF in a Bayesian way, while propagating distributions through the nonlinear part by sampling. As such, it is capable of providing data‐driven uncertainty information along with the rational fit. The Bayesian VF technique...
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