Sensitivity Analysis of an Implanted Antenna within Surrounding Biological Environment

Ding, Shuoliang; Pichon, Lionel

doi:10.3390/en13040996

Cited by 6 publications

(4 citation statements)

References 24 publications

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“…Some other sampling techniques have not been considered in this study, such as spatiotemporal kriging and analog approaches [44], polynomial chaos expansion [45,46], graphbased convolution networks [47], multi-channel ARMA models [48], dynamic uncertainty sets [49], and universal kriging models [50]. These sampling techniques are extensive in implementation complexity and computational cost and remain an ongoing area of research concerning their appropriateness for application in probabilistic voltage stability analysis by explicitly taking into account the inherent variability of system loads and the intermittent nature of the RESs.…”

Section: Importance Sampling (Is) Techniquementioning

confidence: 99%

Identification of Efficient Sampling Techniques for Probabilistic Voltage Stability Analysis of Renewable-Rich Power Systems

et al. 2021

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This paper presents a comparative analysis of six sampling techniques to identify an efficient and accurate sampling technique to be applied to probabilistic voltage stability assessment in large-scale power systems. In this study, six different sampling techniques are investigated and compared to each other in terms of their accuracy and efficiency, including Monte Carlo (MC), three versions of Quasi-Monte Carlo (QMC), i.e., Sobol, Halton, and Latin Hypercube, Markov Chain MC (MCMC), and importance sampling (IS) technique, to evaluate their suitability for application with probabilistic voltage stability analysis in large-scale uncertain power systems. The coefficient of determination (R2) and root mean square error (RMSE) are calculated to measure the accuracy and the efficiency of the sampling techniques compared to each other. All the six sampling techniques provide more than 99% accuracy by producing a large number of wind speed random samples (8760 samples). In terms of efficiency, on the other hand, the three versions of QMC are the most efficient sampling techniques, providing more than 96% accuracy with only a small number of generated samples (150 samples) compared to other techniques.

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Section: Importance Sampling (Is) Techniquementioning

confidence: 99%

Identification of Efficient Sampling Techniques for Probabilistic Voltage Stability Analysis of Renewable-Rich Power Systems

et al. 2021

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“…In order to reduce the size of the antenna, the dielectric substrate with high relative dielectric constant is selected, the meandering technology with slots or gaps on the surface of the radiation patch and the capacitive loading technology which can offset the inductive impedance are adopted. In order to obtain a wide bandwidth, some literatures adopt fractal technology, multi-resonance coupling structure, multi-layer stacking structure and other methods by reducing the Q value of equivalent resonant circuit [5][6][7][8][9] . Implantable or ingested antennas work in the human body, and the strong coupling between the human body and the antenna affects the electromagnetic characteristics of the antenna.…”

Section: Introductionmentioning

confidence: 99%

Design of Small Circular Polarized Antenna With Ring Descriptive Loading for Biomedical Applications

Ou,

2023

IEEE Access

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A small circular polarized antenna for biomedical applications is designed, which can be used for signal transmission of implantable medical devices or capsule endoscopes. By introducing the ring characteristic loading array, the high electromagnetic energy is aggregated, and the electrical size of the antenna is reduced effectively while the impedance bandwidth is widened. Under the same bandwidth requirement, the antenna size is reduced by about 18 %, and the antenna volume is 80.7 mm 3 . The circular polarization performance of the antenna is generated and adjusted by adding annular slots between the outer ring and the ring descriptive loaded array to generate geometric perturbations. The sensitivity of the complete antenna model to implant in different parts of human body and ingestion of different digestive organs is studied. The biological compatibility, radiation characteristics and safety of the antenna are evaluated. The gain values are -16.8 dBi and -15.6 dBi. The performances of the antenna are tested in pork and simulated digestive tissue solutions. The impedance bandwidths are 24.7 % (2.23 ~ 2.86 GHz) and 20.2 % (2.25 ~ 2.76 GHz) respectively, and the effective communication distance is 11.8m in space. The designed antenna has wide working frequency band, small size, anti-interference and good electromagnetic compatibility, which can meet the working requirements of biological medical equipment after ingestion in digestive organs or implantation in human body.

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“…Therefore, a fitting stochastic framework for the characterization of uncertainty propagation within these systems is Generalized Polynomial Chaos (gPC) [ 2 , 3 ]. As a versatile technique, gPC has been applied extensively to study the effects of randomness on antenna performance and radio wave propagation [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. With the appropriate approach, gPC can even compete with MC when a high number of random variables are used [ 12 , 13 , 14 , 15 , 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

A New Conformal Map for Polynomial Chaos Applied to Direction-of-Arrival Estimation via UCA Root-MUSIC

Brandt

Verhaevert

Hecke

et al. 2022

Sensors

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The effects of random array deformations on Direction-of-Arrival (DOA) estimation with root-Multiple Signal Classification for uniform circular arrays (UCA root-MUSIC) are characterized by a conformally mapped generalized Polynomial Chaos (gPC) algorithm. The studied random deformations of the array are elliptical and are described by different Beta distributions. To successfully capture the erratic deviations in DOA estimates that occur at larger deformations, specifically at the edges of the distributions, a novel conformal map is introduced, based on the hyperbolic tangent function. The application of this new map is compared to regular gPC and Monte Carlo sampling as a reference. A significant increase in convergence rate is observed. The numerical experiments show that the UCA root-MUSIC algorithm is robust to the considered array deformations, since the resulting errors on the DOA estimates are limited to only 2 to 3 degrees in most cases.

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Sensitivity Analysis of an Implanted Antenna within Surrounding Biological Environment

Cited by 6 publications

References 24 publications

Identification of Efficient Sampling Techniques for Probabilistic Voltage Stability Analysis of Renewable-Rich Power Systems

Identification of Efficient Sampling Techniques for Probabilistic Voltage Stability Analysis of Renewable-Rich Power Systems

Design of Small Circular Polarized Antenna With Ring Descriptive Loading for Biomedical Applications

A New Conformal Map for Polynomial Chaos Applied to Direction-of-Arrival Estimation via UCA Root-MUSIC

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