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2021 IEEE International Symposium on Antennas and Propagation and North American Radio science Meeting, APS/URSI 2021

作者： Zhang, Haoran Shamim, Atif King Abdullah University of Science and Technology Electrical Engineering Program CEMSE Division Thuwal Saudi Arabia

ISBN: (纸本)9781728146706

In this work, a 5 × 5 stacked patch rectangular phased array, along with its feeding network, is designed and fabricated in a multilayered low-temperature co-fired ceramic (LTCC) substrate. The single element of the phased array is a dual linear polarized stacked patch microstrip antenna which has improved impedance as well as 3-dB gain bandwidth due to the stacked patch approach. Based on the field distributions, the single element's orientation is optimized to reduce the mutual couplings between the adjacent elements for a wide beam scanning range over a wide frequency band. The features of multilayered implementation, low dielectric loss, and excellent packaging properties ensure a compact and high-efficiency phased array design and qualify this design as an antenna-in-packaging (AiP) design. © 2021 IEEE.

关键词： Temperature

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Unbiased and Multilevel Methods for a Class of Diffusions Partially Observed via Marked Point Processes

arXiv

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arXiv 2023年

作者： Alvarez, Miguel Jasra, Ajay Ruzayqat, Hamza Applied Mathematics and Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia

In this article we consider the filtering problem associated to partially observed diffusions, with observations following a marked point process. In the model, the data form a point process with observation times that have its intensity driven by a diffusion, with the associated marks also depending upon the diffusion process. We assume that one must resort to time-discretizing the diffusion process and develop particle and multilevel particle filters to recursively approximate the filter. In particular, we prove that our multilevel particle filter can achieve a mean square error (MSE) of O(∈2) (∈ > 0 and arbitrary) with a cost of O(∈-2.5) versus using a particle filter which has a cost of O(∈-3) to achieve the same MSE. We then show how this methodology can be extended to give unbiased (that is with no time-discretization error) estimators of the filter, which are proved to have finite variance and with high-probability have finite cost. Finally, we extend our methodology to the problem of online static-parameter estimation. Key words: Unbiased Methods, Multilevel Monte Carlo, Non-Linear Filtering, Point Processes, Parameter *** Codes 60G55, 60G35, 62M20, 62F30 © 2023, CC BY.

关键词： Diffusion

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Live Demonstration: Human Body Communication Health Monitoring System Using Flexible Substrate

Live Demonstration: Human Body Communication Health Monitori...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Qi Huang Abeer Alamoudi Abdulkadir Celik Ahmed Eltawil Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

We demonstrate the design and functionality of a flexible, miniaturized, ultra-low power, and affordable health monitoring system enabling continuous monitoring of individuals' health metrics, a.k.a. a wireless body area network (WBAN). To date, the most commonly-used means of communication for WBAN modules has been based on Radio Frequency (RF) communications. Though they significantly facilitated human healthcare monitoring, they require complex, power-hungry, RF front ends. As an alternative, we design our system to communicate utilizing human body communication (HBC), which has inherent physical layer security and enhanced overall energy efficiency. The live demo presents a vital signal monitoring system based on point-to-point HBC communication. Fig. 1 illustrates the transmitter and receiver diagrams and PCB boards respectively. The transmitter comprises a microcontroller, an oscillator, an on-off-keying (OOK) modulator, and signal/ground electrodes. A 3.7 V lithium-ion battery with a 3.3 V output low dropout regulator (LDO) powers the whole system. The receiver first detects the envelope of the received signal and slices it to binary digits by comparing the input signal with its average level extracted by low-pass filtering. Interested readers can find full details at [1], where the system has shown an energy efficiency of 8.3 nJ/b at a data rate of up to 1.3 Mbps.

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Bayesian Parameter Inference for Partially Observed Stochastic Volterra Equations

arXiv

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arXiv 2023年

作者： Jasra, Ajay Ruzayqat, Hamza Wu, Amin Applied Mathematics & Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955 Saudi Arabia

In this article we consider Bayesian parameter inference for a type of partially observed stochastic Volterra equation (SVE). SVEs are found in many areas such as physics and mathematical finance. In the latter field they can be used to represent long memory in unobserved volatility processes. In many cases of practical interest, SVEs must be time-discretized and then parameter inference is based upon the posterior associated to this time-discretized process. Based upon recent studies on time-discretization of SVEs (e.g. [24]) we use Euler-Maruyama methods for the afore-mentioned discretization. We then show how multilevel Markov chain Monte Carlo (MCMC) methods [19] can be applied in this context. In the examples we study, we give a proof that shows that the cost to achieve a 4 mean square error (MSE) of O(ϵ2), ϵ > 0, is O(ϵ− 4/2H+1 ), where H is the Hurst parameter. If one uses a single level MCMC method then the cost is O(ϵ−2(2H+3)/ 2H+1 ) to achieve the same MSE. We illustrate these results in the context of state-space and stochastic volatility models, with the latter applied to real *** Codes 62F15, 62M20, 60J10, 60J22, 65C40 © 2023, CC BY.

关键词： Mean square error

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Multi-frame Correlated Representation Network for Video Super-Resolution

Multi-frame Correlated Representation Network for Video Supe...

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2023 IEEE International Conference on computer, Information, and Telecommunication Systems, CITS 2023

作者： Jin, Shuo Liu, Meiqin Guo, Yu Yao, Chao Obaidat, Mohammad S. Institute of Information Science Beijing Jiaotong University Beijing China School of Computer & Communication Engineering University of Science and Technology Beijing Beijing China King Abdullah Ii School of Information Technology The University of Jordan Amman11942 Jordan School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The Amity University UP Noida201301 India

ISBN: (纸本)9798350336092

Video super-resolution aims to reconstruct the high-resolution video from its degraded observation. Existing methods primarily utilize explicit alignment strategies, including optical flow and motion compensation, and implicit alignment strategies, including deformable convolution and non-local attention, to model the temporal information. However, these alignment strategies with motion estimation and motion compensation (MEMC) introduce inaccurate inter-frame information to some extent, which largely affects the reconstruction performance. To avoid the error compensation information, we propose to model the temporal information from the perspective of the self-similarity between frames and design a multi-frame correlated representation network (MCRNet) for video super-resolution. To address the issue of temporal information distortion caused by large-scale pixel displacement and object occlusion, MCRNet extracts temporal information through similar regions on multiple frames, which are aggregated with allocated weights for information compensation. Moreover, we design a multi-scale non-local information fusion module for non-local correlation matching of spatio-temporal features in the multi-scale space, which maintains the scale consistency of spatio-temporal features. Experimental results indicate that MCRNet achieves promising gains over other competing methods which employ explicit and implicit alignment strategies on different datasets. © 2023 IEEE.

关键词： Alignment

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Bayesian Parameter Estimation for Partially Observed McKean-Vlasov Diffusions Using Multilevel Markov chain Monte Carlo

arXiv

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arXiv 2025年

作者： Jasra, Ajay Wu, Amin School of Data Science The Chinese University of Hong Kong Shenzhen Shenzhen China Statistics Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

In this article we consider Bayesian estimation of static parameters for a class of partially observed McKean-Vlasov diffusion processes with discrete-time observations over a fixed time interval. This problem features several obstacles to its solution, which include that the posterior density is numerically intractable in continuous-time, even if the transition probabilities are available and even when one uses a time-discretization, the posterior still cannot be used by adopting well-known computational methods such as Markov chain Monte Carlo (MCMC). In this paper we provide a solution to this problem by using new MCMC algorithms which can solve the aforementioned issues. This MCMC algorithm is extended to use multilevel Monte Carlo (MLMC) methods. We prove convergence bounds on our parameter estimators and show that the MLMC-based MCMC algorithm reduces the computational cost to achieve a mean square error versus ordinary MCMC by an order of magnitude. We numerically illustrate our results on two models. Copyright © 2025, The Authors. All rights reserved.

关键词： Channel estimation

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Enhancing Gas Selectivity in Thin-Film Composite Carbon Molecular Sieve Membranes by Platinum Sputtering

SSRN

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SSRN 2025年

作者： Ogieglo, Wojciech Puspasari, Tiara Hu, Xiaofan Wehbe, Nimer Hassine, Mohamed Ben Aslam, Nabeel Kazmi, Syed N.R. Pinnau, Ingo Chemical Engineering Program Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Imaging and Characterization Core Lab King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Nanofabrication Core Lab King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

We present a novel approach to significantly boost gas-pair selectivity of thin-film composite (TFC) carbon molecular sieve (CMS) membranes by sputtering platinum on the surface of the CMS precursor polymer prior to pyrolysis. A polyimide of intrinsic microporosity (PIM-PI), 6FDA-HTB, was selected as the CMS precursor which had previously been shown to transform into an excellent CMS membrane material at moderate pyrolysis temperatures (550 – 600 °C). Deposition of Pt at high ion currents combined with subsequent pyrolysis at 550 °C leads to the development of an ultrathin (10-20 nm thick) Pt/CMS intermix layer consisting of a CMS matrix with a large volume fraction of embedded, fused Pt nanoparticles. The Pt phase seems to stabilize the micropores of the intermixed CMS phase as well as limit the undesired impact of defects leading to a dramatic enhancement of gas-pair selectivity of the modified TFC CMS membranes (e.g. H2/CH4 > 1100, CO2/CH4 ~100, O2/N2 ~ 11) which represent improvements of 3300, 370, and 100% in comparison to the non-Pt-sputtered CMS control membranes. This novel, simple and effective procedure may be extendable to other types of CMS polymer precursors, membrane supports, alternative sputtering metals and the deposition parameters can be easily tuned to balance the membrane permeance against the desired selectivity. © 2025, The Authors. All rights reserved.

关键词： Micropores

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A Semi-Linear Approximation of the First-Order Marcum Q-Function with Application to Predictor Antenna Systems

IEEE Open Journal of the Communications Society

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IEEE Open Journal of the Communications Society 2021年 2卷 273-286页

作者： Guo, Hao Makki, Behrooz Alouini, Mohamed-Slim Svensson, Tommy Department of Electrical Engineering Chalmers University of Technology Gothenburg41296 Sweden Ericsson Research Department Ericsson Gothenburg41756 Sweden Department of Computer Electrical and Mathematical Science and Engineering King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

First-order Marcum Q -function is observed in various problem formulations. However, it is not an easy-to-handle function. For this reason, in this article, we first present a semi-linear approximation of the Marcum Q -function. Our proposed approximation is useful because it simplifies, e.g., various integral calculations including Marcum Q -function as well as different operations such as parameter optimization. Then, as an example of interest, we apply our proposed approximation approach to the performance analysis of predictor antenna (PA) systems. Here, the PA system is referred to as a system with two sets of antennas on the roof of a vehicle. Then, the PA positioned in the front of the vehicle can be used to improve the channel state estimation for data transmission of the receive antenna that is aligned behind the PA. Considering spatial mismatch due to the mobility, we derive closed-form expressions for the instantaneous and average throughput as well as the throughput-optimized rate allocation. As we show, our proposed approximation scheme enables us to analyze PA systems with high accuracy. Moreover, our results show that rate adaptation can improve the performance of PA systems with different levels of spatial mismatch. © 2020 IEEE.

关键词： Channel state information

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Implementation of contact line motion based on the phase-field lattice Boltzmann method

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Physical Review E 2024年第4期109卷 045307-045307页

作者： Long Ju Zhaoli Guo Bicheng Yan Shuyu Sun Computational Transport Phenomena Laboratory (CTPL) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Kingdom of Saudi Arabia Institute of Interdisciplinary Research for Mathematics and Applied Science Huazhong University of Science and Technology Wuhan 430074 China Energy Resource and Petroleum Engineering Program Physical Science and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Kingdom of Saudi Arabia

This paper proposes a strategy to implement the free-energy-based wetting boundary condition within the phase-field lattice Boltzmann method. The greatest advantage of the proposed method is that the implementation of contact line motion can be significantly simplified while still maintaining good accuracy. For this purpose, the liquid-solid free energy is treated as a part of the chemical potential instead of the boundary condition, thus avoiding complicated interpolations with irregular geometries. Several numerical testing cases, including droplet spreading processes on the idea flat, inclined, and curved boundaries, are conducted, and the results demonstrate that the proposed method has good ability and satisfactory accuracy to simulate contact line motions.

关键词： Contact line dynamics Wetting Lattice-Boltzmann methods

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DPAL-BERT:A Faster and Lighter Question Answering Model

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computer Modeling in engineering & sciences 2024年第10期141卷 771-786页

作者： Lirong Yin Lei Wang Zhuohang Cai Siyu Lu Ruiyang Wang Ahmed AlSanad Salman A.AlQahtani Xiaobing Chen Zhengtong Yin Xiaolu Li Wenfeng Zheng Department of Geography and Anthropology Louisiana State UniversityBaton RougeLA 70803USA School of Automation University of Electronic Science and Technology of ChinaChengdu610054China College of Computer and Information Sciences King Saud UniversityRiyadh11574Saudi Arabia School of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA 70803USA College of Resources and Environmental Engineering Guizhou UniversityGuiyang550025China School of Geographical Sciences Southwest UniversityChongqing400715China

Recent advancements in natural language processing have given rise to numerous pre-training language models in question-answering ***,with the constant evolution of algorithms,data,and computing power,the increasing size and complexity of these models have led to increased training costs and reduced *** study aims to minimize the inference time of such models while maintaining computational *** also proposes a novel Distillation model for PAL-BERT(DPAL-BERT),specifically,employs knowledge distillation,using the PAL-BERT model as the teacher model to train two student models:DPAL-BERT-Bi and *** research enhances the dataset through techniques such as masking,replacement,and n-gram sampling to optimize knowledge *** experimental results showed that the distilled models greatly outperform models trained from *** addition,although the distilled models exhibit a slight decrease in performance compared to PAL-BERT,they significantly reduce inference time to just 0.25%of the *** demonstrates the effectiveness of the proposed approach in balancing model performance and efficiency.

关键词： DPAL-BERT question answering systems knowledge distillation model compression BERT Bi-directional long short-term memory(BiLSTM) knowledge information transfer PAL-BERT training efficiency natural language processing

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