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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Aqsa Asad Hafiz Saad Khaliq Nasir Mahmood Muhammad Qasim Mehmood Yehia Massoud Innovative Technologies Laboratories (ITL) Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

A planar multi-functional meta-surface is designed to reproduce spin-isolated meta-holographic displays at broadband wavelengths covering ultraviolet (UV) and visible (VIS) regimes. The proposed metasurface can have p...

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Chirality Enhancement at Broadband UV-VIS Regimes for Bio-Sensing

Chirality Enhancement at Broadband UV-VIS Regimes for Bio-Se...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Aima Zahid Hafiz Saad Khaliq Yehia Massoud Innovative Technologies Laboratories (ITL) Electrical and Computer Engineering King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

An achiral aluminum-based metasurface is proposed for applications in bio-sensing and circular dichroism spectroscopy. The results demonstrate up to 20-fold chirality and 4.8- fold dissymmetry factor enhancement in bo...

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Instantaneous GNSS Ambiguity Resolution and Attitude Determination via Riemannian Manifold Optimization

arXiv

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arXiv 2022年

作者： Liu, Xing Ballal, Tarig Ahmed, Mohanad Al-Naffouri, Tareq Y. The Division of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

We present an ambiguity resolution method for Global Navigation Satellite System (GNSS)-based attitude determination. A GNSS attitude model with nonlinear constraints is used to rigorously incorporate a priori information. Given the characteristics of the employed nonlinear constraints, we formulate GNSS attitude determination as an optimization problem on a manifold. Then, Riemannian manifold optimization algorithms are utilized to aid ambiguity resolution based on a proposed decomposition of the objective function. The application of manifold geometry enables high-quality float solutions that are critical to reinforcing search-based integer ambiguity resolution in terms of efficiency, availability, and reliability. The proposed approach is characterized by a low computational complexity and a high probability of resolving the ambiguities correctly. The performance of the proposed ambiguity resolution method is tested through a series of simulations and real experiments. Comparisons with the principal benchmarks indicate the superiority of the proposed method as reflected by the high ambiguity resolution success rates. Copyright © 2022, The Authors. All rights reserved.

关键词： Global positioning system

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2D Polynomial Regression Modeling for Predictive Analysis of Glucose Concentration in NP-Model Fractal Microwave Sensor Using Frequency and Transmission Coefficient Disparities

2D Polynomial Regression Modeling for Predictive Analysis of...

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International electrical engineering Congress (iEECON)

作者： Nutyada Nantapanich Pisit Mahatthanajatuphat Norakamon Wongsin Wilaiporn Lee Department of Electronics and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Thanyaburi Pathum Thani Thailand Regular Program in Mathematics-Science Yothinburana School Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

The article introduces a two-dimensional polynomial regression model for the predictive analysis of glucose concentration in a fractal microwave sensor NP model, utilizing frequency and transmission coefficient differences to examine their correlation with glucose concentration levels. The sensor employed in this investigation is fabricated on an economical FR-4 substrate to minimize costs. The sensor structure is developed with the fractal structure reduction method established by the NP model to operate at a frequency of roughly 2.97 GHz. The CST Studio software is utilized to analyze the findings from the simulation of the suggested sensor structure. Furthermore, the proposed sensor is integrated into a test apparatus comprising a sensor platform and a liquid tube constructed from PPA material. The liquid under examination is a glucose and water mixture at varying concentrations. It was analyzed using a VNA instrument to evaluate its frequency response and the magnitude of the alteration in the transmission coefficient. The values are utilized to create a two-dimensional polynomial regression model. The experiments demonstrated that the proposed sensor model possesses an Adjusted R² value of 0.99499 and an average error of approximately 3.57% for glucose concentration analysis throughout the range of 5% to 30%, with sensitivities of 0.00879 dB/% for insertion loss and 0.092 MHz/% for frequency variation, facilitating accurate glucose concentration prediction analysis.

关键词： Analytical models Adaptation models Correlation Liquids Predictive models Microwave sensors Polynomials Fractals Glucose Predictive analytics

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Optimized coupling of photocatalysis and cavitation for phenol degradation: Use of an extended-kinetic approach

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Environmental Advances 2024年 16卷

作者： Sarvothaman, Varaha P. Subburaj, Janardhanraj Velisoju, Vijay K. Kulkarni, Shekhar R. Canciani, Chiara Castaño, Pedro Nagarajan, Sanjay Guida, Paolo Roberts, William L. CCRC King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Multiscale Reaction Engineering (MuRE) Group KAUST Catalysis Center (KCC) King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Chemical Engineering Program Physical Science and Engineering (PSE) Division King Abdullah University of Science and Technology (KAUST) Saudi Arabia Department of Chemical Engineering University of Bath Claverton Down Bath BA2 7AY United Kingdom

The coupling of hydrodynamic cavitation (HC) and photocatalysis (PC) predominantly exhibits a complementary nature, which is highlighted through a synergistic index. However, this calculation, based on pseudo-first order kinetics, fails to accurately represent the concentration data, often skewed by the formation of reaction intermediates. To address this, an ‘extended’ kinetic approach previously developed with two parameters, which accounts for the formation of intermediates, was adopted. The PC process was optimized for a simulated wastewater containing phenol of concentration (C₀) of 100 ppm by applying a UV-A light source of intensity 175 ± 8 W/cm² on an operating volume (V_L) of 200 mL. Catalyst loading, solution pH and initial concentration (C₀) were optimized. These optimal parameters were used to operate HC-PC (V_L = 3500 mL) at a comparable illumination intensity across the 2 techniques’ reactors. It was observed that phenol conversion was observable only with halved C₀ (= 50 ppm) for the HC-PC system, increasing catalyst loading from 0.5 to 1.0 g/L exhibited no increase in phenol conversion. The obtained results from experiments were interpreted with the help of the two-parameter model. For the PC system, the initial rate constant (k₀) exhibits a similar trend to the final oxidation extent, however, it did not compare quantitatively. The second parameter – ‘y’ showed a high finite value, denoting the need for dosing external oxidants. The trends of the two-parameters with respect to different relevant parameters presented will help leverage this kinetic approach for AOPs, while optimizing and translating processes to larger scales of operation. © 2024 The Author(s)

关键词： Hydrodynamic cavitation Phenol Photocatalysis Water treatment

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Retraction Note: A study on bowtie antenna based optical rectenna system for THz energy harvesting applications

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Optical and Quantum Electronics 2024年第12期56卷 1-2页

作者： Khouqeer, Ghada. A. Alanazi, Nadyah Alodhayb, abdullah Chakraborty, Sibashish Awasthi, Vimarsh Pandiaraj, Saravanan Jayaswal, Gaurav Department of Physics Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh Saudi Arabia Department of Physics and Astronomy College of Science King Saud University Riyadh Saudi Arabia SeNSE Indian Institute of Technology Delhi India Department of Self-Development Skills King Saud University Riyadh Saudi Arabia Computer Electrical and Mathematical Sciences and Engineering (CEMSE) Divison King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

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Predicting Energy Consumption in Wastewater Treatment Plants through Light Gradient Boosting Machine: A Comparative Study

Predicting Energy Consumption in Wastewater Treatment Plants...

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International Conference on Systems and Control (ICSC)

作者： Yasminah Alali Fouzi Harrou Ying Sun Electrical and Mathematical Sciences and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Computer Thuwal Saudi Arabia

ISBN: (数字)9781665465076

ISBN: (纸本)9781665465083

Water quality and availability worldwide are greatly affected by climate changes due to global warming. For instance, recently, the water levels in numerous European rivers decreased compared to their levels in centuries. Treated and desalinated water represents a promising strategic option to mitigate water scarcity. The global cost of wastewater treatment plants (WWTPs) depends significantly on their energy consumption. A precise prediction of energy consumption of WWTPs can comprehend and predict the plant behavior to support process design and monitoring and enhance optimization of overall performances. This paper presents a practical machine-learning approach to predict WWTP energy consumption through Light Gradient Boosting Machine (LightGBM) approach. Data from a full-scale WWTP at Melbourne eastern over five years is employed in this study. Results indicate that the LightGBM is more accurate than the other fourteen machine commonly used machine-learning models. In addition, results revealed that including lagged measurements in constructing the investigated models improves the prediction accuracy. This study shows that the dynamic, optimized LightGBM model outperformed all models with reasonable root-mean-square error and mean absolute error of 37.38 and 28.63, respectively.

关键词： Radio frequency Process design Energy consumption Water quality Predictive models Boosting Rivers

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Threshold Decision-Making Dynamics Adaptive to Physical Constraints and Changing Environment

Threshold Decision-Making Dynamics Adaptive to Physical Cons...

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European Control Conference (ECC)

作者： Giovanna Amorim María Santos Shinkyu Park Alessio Franci Naomi Ehrich Leonard Dept. of Mechanical and Aerospace Engineering Princeton Univ. Princeton NJ USA Computer Electrical and Math. Science and Eng. Div. King Abdullah Univ. of Science and Technology (KAUST) Thuwal Saudi Arabia Department of Electrical Engineering and Computer Science University of Liege Liége Belgium WEL Research Institute Wavre Belgium

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

We propose a threshold decision-making frame-work for controlling the physical dynamics of an agent switching between two spatial tasks. Our framework couples a nonlinear opinion dynamics model that represents the evolution of an agent's preference for a particular task with the physical dynamics of the agent. We prove the bifurcation that governs the behavior of the coupled dynamics. We show by means of the bifurcation behavior how the coupled dynamics are adaptive to the physical constraints of the agent. We also show how the bifurcation can be modulated to allow the agent to switch tasks based on thresholds adaptive to environmental conditions. We illustrate the benefits of the approach through a multi-robot task allocation application for trash collection.

关键词： Adaptation models Decision making Europe Switches Bifurcation Control systems Resource management

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Covariance-based rational approximations of fractional SPDEs for computationally efficient Bayesian inference

arXiv

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arXiv 2022年

作者： Bolin, David Simas, Alexandre B. Xiong, Zhen Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

The stochastic partial differential equation (SPDE) approach is widely used for modeling large spatial datasets. It is based on representing a Gaussian random field u on Rd as the solution of an elliptic SPDE Lβu = W where L is a second-order differential operator, 2β ∈ N is a positive parameter that controls the smoothness of u and W is Gaussian white noise. A few approaches have been suggested in the literature to extend the approach to allow for any smoothness parameter satisfying β > d/4. Even though those approaches work well for simulating SPDEs with general smoothness, they are less suitable for Bayesian inference since they do not provide approximations which are Gaussian Markov random fields (GMRFs) as in the original SPDE approach. We address this issue by proposing a new method based on approximating the covariance operator L−2β of the Gaussian field u by a finite element method combined with a rational approximation of the fractional power. This results in a numerically stable GMRF approximation which can be combined with the integrated nested Laplace approximation (INLA) method for fast Bayesian inference. A rigorous convergence analysis of the method is performed and the accuracy of the method is investigated with simulated data. Finally, we illustrate the approach and corresponding implementation in the R package rSPDE via an application to precipitation data which is analyzed by combining the rSPDE package with the R-INLA software for full Bayesian inference. Copyright © 2022, The Authors. All rights reserved.

关键词： Gaussian noise (electronic)

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2D Polynomial Regression Modeling for Predictive Analysis of Glucose Concentration in NP-Model Fractal Microwave Sensor Using Frequency and Transmission Coefficient Disparities

2D Polynomial Regression Modeling for Predictive Analysis of...

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13th International electrical engineering Congress, iEECON 2025

作者： Nantapanich, Nutyada Mahatthanajatuphat, Pisit Wongsin, Norakamon Lee, Wilaiporn Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Pathum Thani Thailand Yothinburana School Regular Program in Mathematics-Science Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand

ISBN: (纸本)9798331543952

关键词： Polynomial regression

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