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Advances in Computing, Communication and Applied Informatics (ACCAI), International Conference on

作者： M P Haripriya R Durai Vasanth M. Suresh Anand Vikas Vitthal Kulkarni S Farook K.R. Senthil Kumar Department of Computer Science Kristu Jayanti College Bangalore Karnataka India Department of Computer Science and Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu India Department of Computing Technologies School of Computing SRM Institute of Science & Technology Kattankulathur Tamil Nadu India Department of Electrical Engineering AISSMS College of Engineering Pune India Department of Electrical and Electronics Engineering School of Engineering Mohan Babu University Tirupathi Andhar Pradesh India Department of Mechanical Engineering R.M.K. Engineering College Kavaraipettai Tamil Nadu India

ISBN: (数字)9798350389449

ISBN: (纸本)9798350389456

The operation of machine literacy algorithms for disfigurement identification and opinion within power systems is presented in this exploration composition. In light of the added complexity of moment’s power grids, it’s of the utmost significance to develop fault discovery and opinion styles that are both effective and effective. As a result of their capacity to assay big datasets and honor patterns, machine literacy ways present several openings that hold great pledges. Several different machine learning algorithms, including as neural networks, decision trees, support vector machines, and clustering approaches, are delved in this study. The purpose of the disquisition is to estimate the utility of these algorithms in relating and diagnosing blights in power systems. Through the use of empirical evaluation and case studies, the exploration reveals that these algorithms are applicable in the process of perfecting the trustability and effectiveness of power system operations. This exploration donates to the advancement of fault identification and opinion approaches in power engineering, hence paving the way for further exploration.

关键词： Support vector machines Fault diagnosis Power engineering Machine learning algorithms Fault detection Neural networks Clustering algorithms

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Pressure Sensor Data Analysis for Motor Function Assessment of Stroke Patients

Pressure Sensor Data Analysis for Motor Function Assessment ...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Helder C. R. Oliveira Haaziq Altaf Mohammed Almekhlafi Svetlana N. Yanushkevich Department of Electrical and Computer Engineering Biometric Technologies Laboratory Cumming School of Medicine and Hotchkiss Brain Institute University of Calgary Canada

ISBN: (纸本)9781665487696

This paper investigates the potential use of pressure data for the detection of abnormalities in motor function of post-stroke patients. Histograms of the pressure values, empirical cumulative curves and the pressure intensity captured over time were considered. The evaluation was performed on three datasets: the PMat dataset, and two other datasets collected for this study. The preliminary results show that it is possible to identify patterns of motor function impairment, which shows a potential venue for future research for monitoring this function in stroke survivors.

关键词： Pressure sensors Histograms Data analysis Stroke (medical condition) Monitoring Computational intelligence

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Surface-patterned chalcogenide glasses with high-aspect-ratio microstructures for long-wave infrared metalenses

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Opto-Electronic Science 2024年第10期3卷 1-13页

作者： Zhaofeng Gu Yixiao Gao Kongsi Zhou Junyang Ge Chen Xu Lei Xu Mohsen Rahmani Ran Jiang Yimin Chen Zijun Liu Chenjie Gu Yaoguang Ma Jianrong Qiu Xiang Shen Laboratory of Infrared Materials and Devices Research Institute of Advanced TechnologiesNingbo UniversityNingbo 315211China Zhejiang Key Laboratory of Advanced Optical Functional Materials and Devices Ningbo 315211China Advanced Optics&Photonics Laboratory Department of EngineeringSchool of Science and TechnologyNottingham Trent UniversityNottingham NG118NSUnited Kingdom Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational ResearchCenter for Advanced PhotonicsZhejiang UniversityHangzhou 310027China Ningbo Institute of Oceanography Ningbo 315832China

Multidimensional-engineering chalcogenide glasses is widely explored to construct various infrared photonic devices,with their surface as a key dimension for wavefront ***,we demonstrate direct patterning high-aspect-ratio microstructures on the surface of chalcogenide glasses offers an efficient and robust method to manipulate longwave infrared *** chalcogenide glass being considered soft in terms of its mechanical properties,we successfully fabricate high-aspect-ratio micropillars with a height of 8μm using optimized deep etching process,and we demonstrate a 2-mm-diameter all-chalcogenide metalens with a numerical aperture of 0.45 on the surface of a 1.5-mm-thick As2Se3 *** the exceptional longwave infrared(LWIR)transparency and moderate refractive index of As2Se3 glass,the all-chalcogenide metalens produces a focal spot size of~1.39λ0 with a focusing efficiency of 47%at the wavelength of 9.78μm,while also exhibiting high-resolution imaging *** work provides a promising route to realize easy-to-fabricate,mass-producible planar infrared optics for compact,light-weight LWIR imaging systems.

关键词： chalcogenide glasses long wave infrared metalens

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Fundamental Limit on the Power of Entanglement Assistance in Quantum Communication

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Physical Review Letters 2025年第2期134卷 020802-020802页

作者： Lasse H. Wolff Paula Belzig Matthias Christandl Bergfinnur Durhuus Marco Tomamichel Department of Mathematical Sciences University of Copenhagen Universitetsparken 5 2100 Denmark Institute for Quantum Computing University of Waterloo 200 University Avenue West Waterloo Ontario N2L3G1 Canada Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 117583 Singapore and Centre for Quantum Technologies 3 Science Drive 2 117543 Singapore

The optimal rate of reliable communication over a quantum channel can be enhanced by preshared entanglement. Whereas the enhancement may be unbounded in infinite-dimensional settings even when the input power is constrained, a long-standing conjecture asserts that the ratio between the entanglement-assisted and unassisted classical capacities is bounded in finite-dimensional settings [Bennett et al., IEEE Trans. Inf. Theory 48, 2637 (2002)]. In this Letter, we prove this conjecture by showing that their ratio is upper bounded by o(d2), where d is the input dimension of the channel. An application to quantum communication with noisy encoders and decoders is given.

关键词： Quantum channel

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Optimized Encoding for Coherent Communication using Photonic Crystal Cavity IQ Modulators in Thin Film Lithium Niobate 26

Optimized Encoding for Coherent Communication using Photonic...

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Laser Resonators, Microresonators, and Beam Control XXVI 2024

作者： Vitullo, Dashiell L.P. Lohani, Sanjaya Larocque, Hugo Sludds, Alexander Sattari, Hamed Christen, Ian Choong, Gregory Prieto, Ivan Leo, Jacopo Zarebidaki, Homa Soltani, Moe Searles, Thomas A. Ghadimi, Amir H. Kirby, Brian T. Heuck, Mikkel Englund, Dirk R. DEVCOM Army Research Laboratory AdelphiMD20783 United States Department of Electrical and Computer Engineering University of Illinois Chicago ChicagoIL60607 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Neuchâtel2000 Switzerland Raytheon BBN Technologies CambridgeMA02138 United States Tulane University New OrleansLA70118 United States

ISBN: (纸本)9781510670020

Thin film lithium niobate (TFLN) photonic integrated circuits offer several improvements over other platforms in terms of material loss, energy efficiency, and operational bandwidth. We review our recent demonstration of quadrature phase shift keying in an ultrasmall TFLN photonic crystal-based IQ modulator. Our modulator features a footprint of 40 × 200 µm2 along with quality factors approaching 105 providing it with a Vπ = 1.16 V [H. Larocque et al. CLEO 2023, paper STh1R.3;H. Larocque et al. arXiv:2312.16746]. We discuss an extension to and optimization of quadrature amplitude modulation encoding schemes tailored to the device’s voltage response, including the use of a deep neural network for streamlining bit error rate minimization. © 2024 SPIE.

关键词： Energy efficiency

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Subgraph matching-based reference placement for printed circuit board designs

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The Journal of Supercomputing 2024年第16期80卷 24324-24357页

作者： Zhu, Ziran Li, Yilin Su, Miaodi Zhang, Shu Su, Haiyuan Xiao, Yifeng He, Huan Chen, Jianli Chang, Yao-Wen National ASIC System Engineering Center Southeast University Nanjing China College of Mathematics and Computer Science Fuzhou University Fuzhou China Department of Electrical Engineering University of Southern California Los Angeles USA Hangzhou Huawei Enterprises Telecommunication Technologies Co. Ltd Hangzhou China State Key Lab of ASIC and System Fudan University Shanghai China Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan

Reference placement is promising to handle the increasing complexity in printed circuit board (PCB) designs, which aims to find the isomorphism of the placed template in component combination to reuse the placement. In this paper, we convert the netlist information into a graph and then model the reference placement as a subgraph matching problem. Since the state-of-the-art subgraph matching methods usually recursively search the solutions and suffer from high time and memory consumption in large-scale designs, we develop a novel subgraph matching algorithm D2BS with diversity tolerance and improved backtracking to guarantee matching quality and efficiency. The D2BS algorithm is founded on a data structure called the candidate space (CS) structure. We build and filter the candidate set for each query node according to our designed features to construct the CS structure. During the CS optimization process, a graph diversity tolerance strategy is adopted to achieve efficient inexact matching. Then, hierarchical matching is developed to search the template embeddings in the CS structure guided by branch backtracking and matched-node snatching strategies. Based on the industrial PCB designs, experimental results show that D2BS outperforms the state-of-the-art subgraph matching method in matching accuracy and running time.

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Plasmonic Pentamer-Arranged Nanohole Arrays

Plasmonic Pentamer-Arranged Nanohole Arrays

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Photonics North

作者： Weil Ru Wong Hyung Woo Choi Fatemeh Fouladi Mahani Luis Angel Mayoral Astorga Arash Mokhtari Pierre Berini Department of Electrical Engineering Integrated Lightwave Research Group University of Malaya Kuala Lumpur Malaysia School of Electrical Engineering and Computer Science University of Ottawa Ottawa ON Canada Nexusfor Quantum Technologies Institute University of Ottawa ON Canada Electrical Engineering Dept. Optical and RF Communication Systems (ORCS) Lab Shahid Bahonar University of Kerman Kerman Iran Department of Physics University of Ottawa Ottawa ON Canada

ISBN: (数字)9798350366365

ISBN: (纸本)9798350366372

We report the theoretical and experimental investigation of pentamer arrangements of nanoholes in a thin Au film arrayed over a large area. The pentamer arrangements support coupled plasmonic resonances localized to the nanoholes that exhibit a high near-field sensitivity and low polarization dependance. The structures are compelling for applications in biosensing and in surface enhanced Raman scattering (SERS).

关键词： Gold Sensitivity Biological system modeling Raman scattering Plasmons Sensors Biosensors

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FeReX: A Reconfigurable Design of Multi-bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search

arXiv

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arXiv 2024年

作者： Xu, Zhicheng Liu, Che-Kai Li, Chao Mao, Ruibin Yang, Jianyi Kämpfe, Thomas Imani, Mohsen Li, Can Zhuo, Cheng Yin, Xunzhao Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Zhejiang University Hangzhou China School of Electrical and Computer Engineering Georgia Institute of Technology United States Center Nanoelectric Technologies Fraunhofer IPMS Dresden Germany Department of Computer Science University of California Irvine United States Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province Hangzhou China

Rapid advancements in artificial intelligence have given rise to transformative models, profoundly impacting our lives. These models demand massive volumes of data to operate effectively, exacerbating the data-transfer bottleneck inherent in the conventional von-Neumann architecture. Compute-in-memory (CIM), a novel computing paradigm, tackles these issues by seamlessly embedding in-memory search functions, thereby obviating the need for data transfers. However, existing non-volatile memory (NVM)-based accelerators are application specific. During the similarity based associative search operation, they only support a single, specific distance metric, such as Hamming, Manhattan, or Euclidean distance in measuring the query against the stored data, calling for reconfigurable in-memory solutions adaptable to various applications. To overcome such a limitation, in this paper, we present FeReX, a reconfigurable associative memory (AM) that accommodates various distance metrics including Hamming, Manhattan, and Euclidean distances. Leveraging multibit ferroelectric field-effect transistors (FeFETs) as the proxy and a hardware-software co-design approach, we introduce a constrained satisfaction problem (CSP)-based method to automate AM search input voltage and stored voltage configurations for different distance based search functions. Device-circuit co-simulations first validate the effectiveness of the proposed FeReX methodology for reconfigurable search distance functions. Then, we benchmark FeReX in the context of k-nearest neighbor (KNN) and hyperdimensional computing (HDC), which highlights the robustness of FeReX and demonstrates up to 250× speedup and 104 energy savings compared with GPU. Copyright © 2024, The Authors. All rights reserved.

关键词： Nearest neighbor search

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Urgent Edge Computing

arXiv

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arXiv 2024年

作者： Dazzi, Patrizio Ferrucci, Luca Danelutto, Marco Tserpes, Konstantinos Makris, Antonis Theodoropoulos, Theodoros Massa, Jacopo Carlini, Emanuele Mordacchini, Matteo Department of Computer Science University of Pisa PI Pisa Italy Department of Informatics and Telematics Harokopio University of Athens School of Electrical and Computer Engineering National Technical University of Athens Attika Athens Greece Department of Computer Science University of Pisa Institute of Information Science and Technologies National Research Council of Italy PI Pisa Italy Institute of Information Science and Technologies National Research Council of Italy PI Pisa Italy Institute of Informatics and Telematics National Research Council of Italy PI Pisa Italy

This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in time-critical scenarios. With a focus on ultra-low latency, availability, resource management, decentralization, self-organization, and robust security, UEC aims to facilitate operations in critical scenarios such as disaster response, environmental monitoring, and smart city management. This paper outlines and discusses the key requirements, challenges, and enablers along with a conceptual architecture. The paper also outlines the potential applications of Urgent Edge Computing. © 2024, CC BY-NC-ND.

关键词： Edge computing

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A Novel Sensor for Real-Time Pressure Monitoring in Colonoscopy Training

A Novel Sensor for Real-Time Pressure Monitoring in Colonosc...

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IEEE SENSORS

作者： Anirudh Vajpeyi Anish S. Naidu Jeffrey D. E. Hawel Christopher M. Schlachta Rajni V. Patel Canadian Surgical Technologies and Advanced Robotics (CSTAR) Lawson Health Research Institute London ON Canada Department of Electrical & Computer Engineering Western University London ON Canada Department of Surgery Western University London ON Canada

Colonoscopy is the most frequently employed method for screening and diagnosing colorectal cancers. A significant factor resulting in an incomplete colonoscopy procedure is direct trauma to the colon due to large forces applied during the insertion of a colonoscope which causes significant pain and discomfort to the patient. Acquiring the necessary skills for performing a successful procedure is technically challenging and requires substantial training. The current learning techniques primarily focus on completing the procedure without any feedback of the intensity of the pressure transmitted from the colonoscope to the colon wall. In this paper, we present a pressure-sensing sleeve that can be used in an interactive simulator-based training environment capable of providing real-time feedback on the pressure transmitted by the scope to the simulator colon. The sensor was designed using flex PCBs and utilizing the piezo-resistive behavior of carbon-filled polymers to reliably measure pressures up to the safe limit of 34 kPa.

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