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European Conference on Antennas and Propagation, EuCAP

作者： Ming Dong Liang Chen Ran Zhao Hakan Bagci Electrical and Computer Engineering Program Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia School of Electronic Science and Engineering Univesirty of Electronic Science and Technology of China (UESTC) Chengdu China

A discontinuous Galerkin time-domain scheme is formulated and implemented to analyze three-dimensional transient lasing dynamics. The proposed scheme solves a coupled system of the Maxwell and the rate equations. The atomic transitions through different energy levels are quantum-mechanically described by a four-level two-electron model, while the electro-magnetic interactions are treated using the Maxwell equations. The resulting solver accounts for the Pauli Exclusion Principle and permits robust simulation of lasing dynamics under optical pumping. Numerical results are presented to demonstrate the applicability and the accuracy of the proposed scheme.

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Ising Solver using Weight Profile of Memristor Crossbar Array for Combinatorial Optimization

Ising Solver using Weight Profile of Memristor Crossbar Arra...

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International Electron Devices Meeting (IEDM)

作者： Kyuree Kim Sangwook Youn Jinwoo Park Hyungjin Kim Department of Electrical and Computer Engineering Inha University Incheon Korea Department of Semiconductor Engineering Division of Materials Science and Engineering Hanyang University Seoul Korea

ISBN: (数字)9798350365429

ISBN: (纸本)9798350365436

In this work, a weight profile design is presented for efficient Ising solver system based on a Hopfield neural network (HNN) using $32\times 32$ memristor crossbar array. It utilizes device noise in the probabilistic decision process of simulated annealing for binary current inputs. By implementing 0 and 1 weight matrix across various conductance states in the crossbar, we experimentally solve an unweighted max-cut problem. It is confirmed that higher noise levels, concentrated in high resistance states, enable more efficient convergence to the minimum point of the HNN energy function. This approach effectively exploits intrinsic noise, reducing external hardware overhead and demonstrating feasibility for optimization problems.

关键词： Resistance Noise Memristors Hopfield neural networks Simulated annealing Probabilistic logic Hardware Electron devices Optimization Noise level

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Electronic superradiance mediated by nuclear dynamics

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physical Review Research 2025年第1期7卷 013133-013133页

作者： Xuecheng Tao John P. Philbin Prineha Narang Division of Physical Sciences College of Letters and Science University of California Los Angeles Los Angeles California 90095 USA Electrical and Computer Engineering Department University of California Los Angeles California 90095 USA

Superradiance, in which the collective behavior of emitters can generate enhanced radiative decay, was first predicted by a model, now known as the Dicke model, that contains a collection of two-level systems (the emitters) all interacting with the same photonic mode. In this article, we extend the original Dicke model to elucidate the influence of nuclear motion on superradiant emission. Our dynamical simulations of the combined electronic, nuclear, and photonic system reveal a new time scale attributed to the population leakage of the dark, subradiant states. Furthermore, this dark-state emission pathway can be controlled by tuning the nuclear potential energy landscape. These findings impact how superradiant states and molecular degrees of freedom can be leveraged and utilized in quantum optical systems.

关键词： Quantum optics

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Accelerating Mixed-Precision Out-of-Core Cholesky Factorization with Static Task Scheduling

Accelerating Mixed-Precision Out-of-Core Cholesky Factorizat...

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ISC High Performance 2025 Research Paper Proceedings (40th International Conference)

作者： Jie Ren Hatem Ltaief Sameh Abdulah David E. Keyes Division of Computer Electrical and Mathematical Sciences and Engineering (CEMSE) King Abdullah University of Science and Technology Jeddah Saudi Arabia

ISBN: (数字)9783982633619

This paper explores the performance optimization of out-of-core (OOC) Cholesky factorization on shared-memory systems equipped with multiple GPUs 1 1 Code release available at https://***/ecrc/ooc-cholesky. We employ fine-grained computational tasks to expose concurrency while creating opportunities to overlap data movement asynchronously with computations, especially when dealing with matrices that cannot fit in the GPU memory. We leverage the directed acyclic graph of the task-based Cholesky factorization and map it onto a static scheduler that promotes data reuse while supporting strategies for reducing data movement with the CPU host when the GPU memory is exhausted. The CPU-GPU interconnect may become the main performance bottleneck as the gap between the GPU execution rate and the traditional PCIe bandwidth continues to widen. While the surface-to-volume effect of compute-bound kernels partially mitigates the overhead of data motion, deploying mixed-precision (MxP) computations exacerbates the throughput discrepancy. Using static task scheduling, we evaluate the performance capabilities of the new ultra-fast NVIDIA chip interconnect technology, codenamed NVLink-C2C, that constitutes the backbone of the NVIDIA Grace Hopper Superchip (GH200), against a new four-precision (FP64/FP32/FP16/FP8) left-looking Cholesky factorization. We report the performance results of a benchmarking campaign on various NVIDIA GPU generations and interconnects. We highlight 20% performance superiority against cuSOLVER on a single GH200 with FP64, while hiding the cost of OOC task-based Cholesky factorization and we scale almost linearly on four GH200 superchips. With MxP enabled, our statically scheduled four-precision tile-based Cholesky factorization scores a 3X speedup against its FP64-only counterpart, delivering application-worthy FP64 accuracy when modeling a large-scale geospatial statistical application. Our results represent a significant advance in handling large dat

关键词： Technological innovation Accuracy Processor scheduling Memory management Graphics processing units Data transfer Throughput Spatial databases Scheduling Optimization

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Internet of Things Based Smart Medicine Box for Monitoring Medications. 3

Internet of Things Based Smart Medicine Box for Monitoring M...

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3rd International Conference on Advancement in Electronics and Communication engineering, AECE 2023

作者： Shukla, Manoj Kumar Malik, Sarthak Chanti, Yerrolla Malik, Praveen Kumar Bedi, Harpreet Gehlot, Anita Maharashtra Pune India School of Computer Science and Engineering Lovely Professional University Punjab Jalandhar India School of Computer Science & Artificial Intelligence Sr University Warangal India School of Electronics and Electrical Engineering Lovely Professional University Punjab Jalandhar India School of Computer Science and Engineering Lovely Professional University Punjab Phagwara India Uttaranchal University Division of Research and Innovation Uttrakhand Dehradun248007 India

ISBN: (纸本)9798350330724

Rapid technological development has made it possible for creative solutions to improve a variety of areas of our daily life. The requirement for effective drug management has grown in significance within the healthcare industry. This project describes the creation of a smart medicine box powered by the IoT, that have aims to transform the processes for dispensing and monitoring medications. The smart medicine box makes use of IoT technology to provide a complete solution for managing and ensuring medication adherence. The STM32 board, an IR sensor, a servo motor, gears, a strong box, an ESP01 wifi module, and jumper wires are the main parts of this system. Together, these elements form an intelligent and user-friendly device. The smart medicine box was developed in response to growing worries about drug mistakes, missing dosages, and a lack of reliable monitoring systems. This project addresses these problems by automating the distribution and tracking of medications by fusing the capabilities of IoT and precision engineering. Additionally, the smart medicine box connects to a companion mobile app or online interface, enabling users and caregivers to remotely monitor prescription schedules, get reminders, and access thorough medication histories. Through quick intervention and access to real-time data, this connectivity equips healthcare professionals to improve patient safety and medication adherence. An important development in medication management is the IoT-based smart medicine box, which offers patients, carers, and healthcare professionals a dependable and effective option. It might potentially improve patient outcomes, decrease prescription errors, increase adherence rates, and streamline healthcare procedures. © 2023 IEEE.

关键词： Internet of things

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Environmental Temperature Monitoring System Featuring Printed Temperature Sensor and a Flexible, Printed WiFi Antenna

Environmental Temperature Monitoring System Featuring Printe...

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Microwave, Antennas & Circuits (ICMAC), International Conference on

作者： Rana muhammad Bilal Firas Fatani Mohammad Vaseem Sakandar Rauf Atif Shamim Department of Electrical and Computer Engineering CEMSE Division King Abdullah University of Science and Technology (KAUST) Kingdom of Saudi Arabia

ISBN: (数字)9798331518424

ISBN: (纸本)9798331518431

With the increasing need for scalable, energy-efficient sensing solutions in smart cities and buildings, traditional temperature monitoring systems face limitations due to higher manufacturing costs and rigid designs. Printed fabrication offers a flexible and economical alternative that enhances potential for volume deployment, ubiquitous integration and the increased spatial resolution of monitoring. In this work, we present a novel environmental temperature monitoring system that leverages printed fabrication for antenna and sensor for such applications. A high measured sensitivity (i.e. 3.1% Temperature coefficient of resistance) is shown for the designed printed temperature sensor. A measured 93MHz bandwidth coverage is shown for the designed printed, flexible dual-patch array WiFi antenna.

关键词： Temperature sensors Temperature measurement Antenna measurements Fabrication Smart cities Sensors electrical resistance measurement Monitoring Wireless fidelity Antenna arrays

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ENTROPY IS NOT ENOUGH FOR TEST-TIME ADAPTATION: FROM THE PERSPECTIVE OF DISENTANGLED FACTORS 12

ENTROPY IS NOT ENOUGH FOR TEST-TIME ADAPTATION: FROM THE PER...

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12th International Conference on Learning Representations, ICLR 2024

作者： Lee, Jonghyun Jung, Dahuin Lee, Saehyung Park, Junsung Shin, Juhyeon Hwang, Uiwon Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Korea Republic of School of Computer Science and Engineering Soongsil University Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of Division of Digital Healthcare Yonsei University Korea Republic of AIIS ASRI INMC ISRC Seoul National University Korea Republic of

Test-time adaptation (TTA) fine-tunes pre-trained deep neural networks for unseen test data. The primary challenge of TTA is limited access to the entire test dataset during online updates, causing error accumulation. To mitigate it, TTA methods have utilized the model output's entropy as a confidence metric that aims to determine which samples have a lower likelihood of causing error. Through experimental studies, however, we observed the unreliability of entropy as a confidence metric for TTA under biased scenarios and theoretically revealed that it stems from the neglect of the influence of latent disentangled factors of data on predictions. Building upon these findings, we introduce a novel TTA method named Destroy Your Object (DeYO), which leverages a newly proposed confidence metric named Pseudo-Label Probability Difference (PLPD). PLPD quantifies the influence of the shape of an object on prediction by measuring the difference between predictions before and after applying an object-destructive transformation. DeYO consists of sample selection and sample weighting, which employ entropy and PLPD concurrently. For robust adaptation, DeYO prioritizes samples that dominantly incorporate shape information when making predictions. Our extensive experiments demonstrate the consistent superiority of DeYO over baseline methods across various scenarios, including biased and wild. Project page is publicly available at https://***/DeYO/. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Entropy

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Predicting entropy and heat capacity of hydrocarbons using machine learning

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Energy and AI 2021年第2期4卷 161-171页

作者： Mohammed N.Aldosari Kiran K.Yalamanchi Xin Gao S.Mani Sarathy Clean Combustion Research Center Physical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955Saudi Arabia Computational Bioscience Research Center ComputerElectrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955Saudi Arabia

Chemical substances are essential in all aspects of human life,and understanding their properties is essential for developing chemical *** properties of chemical species can be accurately obtained by experiments or ab initio computational calculations;however,these are time-consuming and *** this work,machine learning models(ML)for estimating entropy,S,and constant pressure heat capacity,Cp,at 298.15 K,are developed for alkanes,alkenes,and *** training data for entropy and heat capacity are collected from the *** descriptors generated using alvaDesc software are used as input features for the ML *** vector regression(SVR),v-support vector regression(v-SVR),and random forest regression(RFR)algorithms were trained with K-fold cross-validation on two *** first level assessed the models’performance,and the second level generated the final *** the three ML models chosen,SVR shows better performance on the test *** SVR model was then compared against traditional Benson’s group additivity to illustrate the advantages of using the ML ***,a sensitivity analysis is performed to find the most critical descriptors in the property estimations.

关键词： Entropy Heat capacity Molecular descriptors Machine learning Supervised learning Hydrocarbons

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Boxcar gating for time-resolved mid-infrared photothermal imaging of axon-bundle water boundaries

Boxcar gating for time-resolved mid-infrared photothermal im...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Samolis, Panagis D. Zhu, Xuedong Sander, Michelle Y. Department of Electrical and Computer Engineering BU Photonics Center Boston University BostonMA02215 United States Department of Biomedical Engineering Boston University BostonMA02215 United States Division of Materials Science and Engineering Boston University BrooklineMA02446 United States

ISBN: (纸本)9781957171258

关键词： Infrared devices

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Amico: Message Exchange Service for Elderly People 11

Amico: Message Exchange Service for Elderly People

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11th IEEE Global Conference on Consumer Electronics, GCCE 2022

作者： Isozaki, Atsushi Fukae, Kazuki Arai, Kenichi Kobayashi, Toru Nakamura, Masahide Nagasaki University Computer and Information Science Program Graduate School of Engineering Nagasaki Japan Nagasaki University Division of Electrical Engineering and Computer Science Graduate School of Engineering Nagasaki Japan Kobe University Center of Mathematical and Data Sciences Hyogo Japan

ISBN: (纸本)9781665492324

This study is related to a system that enables elderly people to communicate interactively with young people who use existing message exchange services by simply speaking to an avatar on a tablet PC, without having to perform complicated operations of the tablet PC. On the other hand, the young people side can bring in elderly people who could not previously participate in existing message exchange services groups. The effectiveness of the system was verified through demonstration experiments with two households consisting of elderly people in their 80s. © 2022 IEEE.

关键词： Personal computers

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