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arXiv 2023年

作者： Ben Yoo, S.J. Singh, Sandeep Kumar On, Mehmet Berkay Gül, Gamze Kanter, Gregory S. Proietti, Roberto Kumar, Prem The Department of Electrical and Computer Engineering University of California Davis DavisCA95616 United States The Department of Electronics and Telecommunications Engineering Politecnico di Torino Italy The Center for Photonic Communication and Computing Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States

We introduce a new concept of Quantum Wrapper Networking, which enables control, management, and operation of quantum networks that can co-exist with classical networks while keeping the requirements for quantum networks intact. The quantum wrapper networks (QWNs) enable the transparent and interoperable transportation of quantum wrapper datagrams consisting of quantum payloads and, notably, classical headers to facilitate the datagram switching without measuring or disturbing the qubits of the quantum payload. Furthermore, QWNs can utilize the common network control and management for performance monitoring on the classical header and infer the quantum channel quality. Copyright © 2023, The Authors. All rights reserved.

关键词： Quantum entanglement

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Heterogeneous Integration of Lithium Niobate and Silicon Photonics for Nonlinear Optics

Heterogeneous Integration of Lithium Niobate and Silicon Pho...

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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Palici, Alexandra Maria Lu, Xiyuan Srinivasan, Kartik Lu, Xinda Labbe, Fabien Ding, Yunhong Laroque, Hugo Hamerly, Ryan Errando-Herranz, Carlos Pu, Minhao Englund, Dirk Heuck, Mikkel Department of Electrical and Photonics Engineering Technical University of Denmark Lyngby2800 Denmark Microsystems and Nanotechnology Division Physical Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Joint Quantum Institute NIST University of Maryland College ParkMD20742 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands

We demonstrate a hybrid device consisting of a thin film lithium niobate membrane transfer-printed onto a silicon nitride ring resonator. We measure quality factors in the 105 range at telecom wavelengths. © Opti... 详细信息

关键词： Silicon photonics

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An Investigation of the Performance of Single-and Double-Converter Parallel Active Power Filters under Various Modulation Modes 15

An Investigation of the Performance of Single-and Double-Con...

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15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Tokarev, Vadim G. Brovanov, Sergey V. Novosibirsk State Technical University Department of Computer Engineering Novosibirsk Russia Novosibirsk State Technical University Department of Electronics and Electrical Engineering Novosibirsk Russia

ISBN: (纸本)9781665434089

Active power filters are considered to be an efficient solution for compensating the disturbances of current and reactive power in three-phase power distribution networks with non-linear loads. In this article, a parallel active power filter composed of two three-level converters connected in parallel is presented. The active power filter is intended to be part of a three-phase power distribution network with a nonlinear load. The dependences of the total harmonics distortion of the phase currents on the power consumed by the load in the case of converters working under the scalar or space vector pulse width modulation are investigated. In addition, the power losses in the elements of the converters are estimated. At medium power, a double-converter active power filter is beneficial over a single-converter active power filter, providing lower total harmonic distortion values. The space vector pulse width modulation ensures better compensation of harmonics than the scalar one. At high power, single-converter active power filters cannot compensate the current harmonics. With a double-converter active power filter, compensation is successful, and the total harmonics distortion is only 5%. Importantly, at high power, the total losses in the components of a single-converter active power filter are nearly twice the losses in the components of a double-converter filter. © 2021 IEEE.

关键词： Vector spaces

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A programmable Circuit Based on the Combination of VTM Cellular Crossbars

A Programmable Circuit Based on the Combination of VTM Cellu...

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International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)

作者： Farzad Mozafari Majid Ahmadi Arash Ahmadi Department of Electrical and Computer Engineering University of Windsor Windsor Ontario Canada Department of Electronics Carleton University Ottawa Ontario Canada

This paper proposes a design of a programmable circuit based on the combination of crossbar arrays using the VTM-NAND/AND logic gates. The novelty of this work is the utilization pipeline technique for the proposed arrangements. The important feature of this method is multiple instructions overlap during execution where designed cells will never be idle, that causes an increase in the number of instructions executed simultaneously and speed of calculations. All of the digital gates and proposed circuits are evaluated using an advanced memristor model with a modified Biolek window and a voltage-dependent variable exponent.

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System Approximation Using Pole Spectrum Analysis (PSA) and Modified Cauer Continued Fraction Method

System Approximation Using Pole Spectrum Analysis (PSA) and ...

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2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Sengar, R.S. Awasthy, Neeta Singh, Bholey Singh, Ashish Pratap Kumar, Satender Kumar, Aadesh Gl Bajaj Group of Institutions Department of Electrical & Electronics Engineering Mathura India Gl Bajaj Group of Institutions Department of Computer Science and Engineering Mathura India Gl Bajaj Group of Institutions Department of Applied Science and Humanities Mathura India Gl Bajaj Group of Institutions Department of Electronics and Communications Engineering Mathura India Gl Bajaj Group of Institutions Department of Mechanical Engineering Mathura India

ISBN: (纸本)9798331527495

The manuscript presents an advanced approach for reducing large-scale Linear Time-Invariant (LTI) dynamic systems, utilizing a combined framework that integrates Dominant Pole Retention (DPR), Pole Spectrum Analysis (PSA), and Modified Cauer Continued Fraction (MCCF) method. The denominator dynamics of the reduced-order model are extracted via the PSA integrated with a pole dominance technique, while the numerator dynamics are obtained through MCCF method. Notably, for higher-order stable systems, the approach significantly guarantees the stability of the simplified system. To substantiate the efficacy and fidelity of the proposed technique, a set of numerical exemplars sourced from literature has been rigorously analyzed. Comparative evaluations have been conducted, leveraging performance indices and response congruence metrics to benchmark the alignment between the original and simplified system responses, thereby affirming the robustness and precision of the proposed reduction method. © 2025 IEEE.

关键词： Lyapunov methods

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A campus energy auditing in energy utilization and conservation using renewable source 3

A campus energy auditing in energy utilization and conservat...

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3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Kayalvizhi, S.B. Thenmalar, K. Raja, T. Gopal, S.B. Nanthiya, D. Sreemanjari, S. Vivekanandha College of Engineering for Women Department of Electrical and Electronics Engineering Tiruchengode Namakkal India Vivekanandha College of Technology for Women Department of Electronics and Communication Engineering Tiruchengode Namakkal India Kongu Engineering College Department of Electronics and Communication Engineering Perundurai India Kongu Engineering College Department of Computer Technology-UG Perundurai India

ISBN: (纸本)9780738111834

Electricity is not freely available in nature. So it must be 'produced' by power stations. An energy review is an examination overview and an investigation of energy streams for energy preservation in a structure. The energy audit is a positive involvement with significant advantages to college. The audit cycle behinds by social event information about office's activity about its past record of administration bills. This information is then investigate to understand that how much energy is utilized and squandered. Energy review is the way to orderly approach for dynamic in the region of energy the executives. It endeavors to adjust the complete energy contributions with its utilization and serves to recognize all the energy streams in an office. © 2021 IEEE.

关键词： Solar energy

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Computation Pre-Offloading for MEC-Enabled Vehicular Networks via Trajectory Prediction 10

Computation Pre-Offloading for MEC-Enabled Vehicular Network...

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10th IEEE Smart World Congress, SWC 2024

作者： Zhang, Ting Yang, Bo Yu, Zhiwen Cao, Xuelin Alexandropoulos, George C. Zhang, Yan Yuen, Chau Northwestern Polytechnical University School of Software Shaanxi Xi'an710129 China Northwestern Polytechnical University School of Computer Science Shaanxi Xi'an710129 China Xidian University School of Cyber Engineering Shaanxi Xi'an710071 China National and Kapodistrian University of Athens Department of Informatics and Telecommunications Athens15784 Greece University of Oslo Department of Informatics Oslo0316 Norway Nanyang Technological University School of Electrical and Electronics Engineering Singapore

ISBN: (纸本)9798331520861

Task offloading is of paramount importance to efficiently orchestrate vehicular wireless networks, necessitating the availability of information regarding the current network status and computational resources. However, due to the mobility of the vehicles and the limited computational resources for performing task offloading in near-real-time, such schemes may require high latency, thus, become even infeasible. To address this issue, in this paper, we present a Trajectory Prediction-based Pre-offloading Decision (TPPD) algorithm for analyzing the historical trajectories of vehicles to predict their future coordinates, thereby allowing for computational resource allocation in advance. We first utilize the Long Short-Term Memory (LSTM) network model to predict each vehicle's movement trajectory. Then, based on the task requirements and the predicted trajectories, we devise a dynamic resource allocation algorithm using a Double Deep Q-Network (DDQN) that enables the edge server to minimize task processing delay, while ensuring effective utilization of the available computational resources. Our simulation results verify the effectiveness of the proposed approach, showcasing that, as compared with traditional real-time task offloading strategies, the proposed TPPD algorithm significantly reduces task processing delay while improving resource utilization. © 2024 IEEE.

关键词： Vehicular ad hoc networks

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A Robust Technique for Steganography of Enhanced Audio Signals

A Robust Technique for Steganography of Enhanced Audio Signa...

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Electronic engineering (ICEEM), International Conference on

作者： Marwa A. Nasr Walid El-Shafai El-Sayed M. El-Rabaie Adel S. El-Fishawy Moawad I. Dessouky Nariman Abdel-Salam Fathi E. Abd El-Samie Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering Menoufia University Menouf Egypt Department of Computer Science College of Engineering Security Engineering Laboratory Prince Sultan University Riyadh Saudi Arabia Communications and Electronics Engineering Department Faculty of Engineering Canadian International College (CIC) Giza Egypt

Audio steganography is a tool for concealing data (a secret message) inside an audio signal (a carrier). It is regarded as an essential approach for information security. This paper presents a proposed technique for audio signal steganography, which is implemented in the wavelet domain, with a pre-processing enhancement step. First, adaptive Wiener filtering is implemented to reduce the noise on audio signals. Then, the Inverse Short-Time Fourier Transform (ISTFT) is applied to convert the target image from the spectrogram-like nature to the 1-D signal-like nature. The embedding process is performed on high-frequency coefficients in the wavelet domain to keep the audio signals unchanged for human perception. The reverse process is implemented at the receiver. Hence, the embedded coefficients are extracted to recover the embedded image through Short-Time Fourier Transform (STFT). The recovered audio signal is also obtained after the removal of embedded coefficients. The major goal is to enhance the performance of the audio steganography technique, while retaining the audio signal quality. The outcomes show that the suggested technique successfully allows audio steganography and enhances the resultant audio signal quality at different Signal-to-Noise Ratio (SNR) levels.

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Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation

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Human-Centric Intelligent Systems 2024年第2期4卷 299-315页

作者： Ahamed, Md. Faysal Islam, Md. Rabiul Nahiduzzaman, Md. Chowdhury, Muhammad E. H. Alqahtani, Abdulrahman Murugappan, M. Department of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Department of Electrical & Computer Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Department of Electrical Engineering Qatar University Doha Qatar Department of Biomedical Technology College of Applied Medical Sciences Al-Kharj Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia Department of Medical Equipment Technology College of Applied Medical Science Majmaah University Majmaah City Saudi Arabia Intelligent Signal Processing (ISP) Research Lab Department of Electronics and Communication Engineering Kuwait College of Science and Technology Doha Kuwait Department of Electronics and Communication Engineering Vels Institute of Sciences Technology and Advanced Studies Chennai India DCenter for Unmanned Autonomous Systems (CoEUAS) Universiti Malaysia Perlis Perlis Malaysia

The early detection of colorectal polyps is crucial for the reduction of mortality rates. However, manually identifying polyps is time-consuming and expensive, increasing the risk of missing them. Our paper aims to address this issue by presenting an automated segmentation approach for colorectal polyps. This paper proposes a method that combines a skip connection with hybrid attention guidance (AG) using attention guidance (AG) and residual path frameworks to identify salient features. Furthermore, we augment test samples using original, horizontal flip, and vertical flip transformations to enhance model robustness through Test Time Augmentation (TTA). The model was trained with Kvasir-seg samples and evaluated on Kvasir-seg and CVC-ClinicDB datasets to gauge generalizability. A significant accuracy (0.9546), a Dice Similarity Coefficient (DSC) of 0.8557, a Cross-section over Union (IoU) of 0.8824, a Recall (0.8221), a Precision (0.8922), an area under Receiver Operating Characteristics (ROC-AUC) of 0.9454, and an area under Precision-Recall (AUC-PR) of 0.8717 were achieved without TTA. Through TTA integration, accuracy (0.9993), DSC (0.8663), IoU (0.8277), Recall (0.8060), Precision (0.9364), and ROC-AUC (0.9587) have been improved. A comparison of our framework with state-of-the-art models demonstrated its effectiveness and segmentation capabilities. Additionally, the proposed model contains only 0.47 million parameters and a weight size of 6.71 MB, illustrating its potential for clinical diagnostics. A computer-aided diagnosis (CAD) system improves patient outcomes by detecting colorectal polyps early and improving segmentation accuracy.

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Machine Learning Based Rain Gauge Using Acoustic Data

Machine Learning Based Rain Gauge Using Acoustic Data

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AFRICON Conference

作者： Aaron Emmanuel Blessed Guda Nebiyou Daniel Hailemariam Michael Selnan Meshach Isaiah Terhide Barnabas Department of Computer Engineering Federal University of Technology Minna Nigeria College of Engineering Carnegie Mellon University Africa Kigali Rwanda Department of Computer Engineering Ahmadu Bello University Zaria Nigeria Department of Electrical and Electronics Engineering Federal University of Technology Minna Nigeria

Weather stations provide data used in planning and forecasts such as water management, precision agriculture, and flood prediction. According to the World Meteorological Organization, Africa has about one-eighth of the required number of weather stations. This is attributed to the high set-up costs, lack of skilled staff, and the fragile nature of instruments in conventional weather stations. Also, conventional weather stations have moving parts that make them prone to damage and cause both measurement and reading errors. This makes it difficult to get accurate real-time weather data measurements with good location specificity, resulting in inaccurate estimates. Recent research on using acoustic data for rainfall estimation through machine learning has been on classifying rainfall amounts into intensity bands rather than specifying the exact rainfall intensities. This research employs a CNN regression model to estimate rainfall intensities from MFCCs extracted from audio recordings collected in Nigeria. The study results show that the MAPE and MSE of the trained CNN model were 35.20% and 0.66 respectively. The experiment demonstrates that this CNN architecture performs better than a baseline Support Vector Regression (SVR) model with 152.55% MAPE and 1.73 MSE. The model was further pruned, reducing its size from 863kB to 300kb, making it suitable for deployment on low-cost microcontrollers with low memory. This makes it possible for large-scale deployments in low-resource settings, such as Africa.

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