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15th International Symposium on Electronics and Telecommunications, ISETC 2022

作者： Ouamri, Mohamed Amine Barb, Gordana Singh, Daljeet Alexa, Florin Grenoble Alpes University Computer Communication Lig Laboratory Drakkar Teams Grenoble France Politehnica University Timisoara Faculty of Electronics Telecommunication and Information Technologies Timisoara Romania Centre for Space Research School of Electronics and Electrical Engineering Lovely Professional University Department of Research and Development Phagwara India

ISBN: (纸本)9781665451505

Software-Defined Wide Area Network (SD-WAN) holds tremendous potential to provide multi-cloud multi-network interconnection and prevent channel congestion. However, traffic among Customer Premises Edge (CPE) and controllers continuously increases, requiring pre-emptive load balancing in the control plane. In this paper, we study the flow migration problem in SD-WANs when the controller presents a limited processing capacity. Specifically, the data plane may include one or more CPE deployed at a site where service traffic is forwarded. To address this narrow, we propose a new approach based on a Deep Reinforcement Learning (DRL) strategy to optimize the balancing process under a latency constraint. As far as we can tell, we have not observed any pertinent research published in this context. The obtained simulation results revealed that our proposed approach decreases the load balancing and outperforms other baseline methods. © 2022 IEEE.

关键词： Wide area networks

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Filtering Balun Design using Hairpin-Ring Resonator and SSPP Metamaterial with Wide Notched band and Wide Stopband

Filtering Balun Design using Hairpin-Ring Resonator and SSPP...

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IEEE International Wireless Symposium (IWS)

作者： Huanhuan Qi Haiwen Liu Mo Huang School of Information and Communications Engineering Xi’ an Jiaotong University Xi'an China State Key Laboratory of Analog and Mixed-Signal VLSI Faculty of Science and Technology Department of Electrical and Computer Engineering Institute of Microelectronics University of Macau Macao China

In this paper, a novel filtering balun based on microstrip-to-slotline transition is proposed. Utilizing the inherent out-of-phase electric field distributions on the adjacent grounds of slotline, the balun function is realized. In order to realize the wide notched-band and stopband performance for radio astronomical applications, spoof surface plasmon polariton (SSPP) metamaterial and multi-mode hairpin ring resonators (HRRs) are adopted. With these novel structures loaded, the proposed filtering balun exhibits a wide band from 1GHz to 6 GHz. The notched band is from 3.2 GHz to 4.4 GHz, within the notched band, the rejection level is better than 15 dB. Besides, the out-of-band suppression is below 35 dB in the wide frequency range from 6 GHz to 8 GHz.

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Speed Master: Quick or Slow Play to Attack Speaker Recognition 39

Speed Master: Quick or Slow Play to Attack Speaker Recogniti...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Ye, Zhe Zhang, Wenjie Ren, Ying Kang, Xiangui Yan, Diqun Ma, Bin Wang, Shiqi Guangdong Key Lab of Information Security School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Key Laboratory of Computing Power Network and Information Security Ministry of Education Qilu University of Technology Shandong Academy of Sciences Jinan China Department of Computer Science City University of Hong Kong Hong Kong

ISBN: (纸本)157735897X

Backdoor attacks pose a significant threat during the model’s training phase. Attackers craft pre-defined triggers to break deep neural networks, ensuring the model accurately classifies clean samples during inference yet erroneously classifies samples added with these triggers. Recent studies have shown that speaker recognition systems trained on large-scale data are susceptible to backdoor attacks. Existing attackers employ unnoticed ambient sounds as triggers. However, these sounds are not inherently part of the training samples themselves. In essence, triggers can be designed to maintain an intrinsic connection with the original speech to enhance stealthiness. Our paper presents a novel attack methodology named Speed Master, which undermines deep neural networks by manipulating the speed of speech samples. Specifically, we execute poison-only backdoor attacks using speed or tempo adjustment. Changes in speech rate have become a common occurrence, as seen on platforms that allow users to adjust playback speed. In real-world scenarios, people naturally adjust their speaking rate depending on the context. As a result, changes in a speaker’s speech rate are typically perceived as normal and are unlikely to raise suspicion. Furthermore, detecting such subtle adjustments becomes challenging for users without reference speech. Our comprehensive experiments demonstrate that Speed Master can achieve an ASR over 99% in the digital domain, with only a 0.6% poisoning rate. Additionally, we validate the feasibility of Speed Master in the real world and its resistance to typical defensive measures. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Deep neural networks

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Fabric computing: Concepts, opportunities, and challenges

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The Innovation 2022年第6期3卷 67-76页

作者： Min Chen Jia Liu Pan Li Hamid Gharavi Yixue Hao Jingyu Ouyang Jiayu Hu Long Hu Chong Hou Iztok Humar Lei Wei Guang-Zhong Yang Guangming Tao Wuhan National Laboratory for Optoelectronics and School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China National Institute of Standards and Technology(NIST) GaithersburgMD 20899-8920USA School of Optics and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Faculty of Electrical Engineering University of LjubljanaTrzaska cesta 251000 LjubljanaSlovenia School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore Medical Robotics Institute Shanghai Jiao Tong UniversityShanghai 200030China State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

With the advent of the Internet of Everything,people can easily interact with their environments *** idea of pervasive computing is becoming a reality,but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction,it is difficult to ensure comfort,esthetics,and privacy in smart *** by the rapid developments in intelligent fabric technology in the post-Moore era,we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living *** discuss the core notion and benefits of fabric computing,including its implementation,challenges,and future research opportunities.

关键词： computing computer smart

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A Multiple Energy Conversion Channels Fusion Grid-Connected Inverter for Large-Scale PV Active Power Injection Preventing Power Loss Caused by Insufficient MPP PV Voltage

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IEEE Transactions on Power Electronics 2025年

作者： Pang, Ying Yang, Hao Ji, Yanju Zhang, Xinhao Zhu, Yongji Li, Gang Xiang, Zeng Gong, Cheng Qiu, Shilin Zhou, Haigen Wong, Man-Chung Lin, Jun Jilin University State Key Laboratory of Deep Earth Exploration and Imaging College of Instrumentation and Electrical Engineering Changchun130026 China Jilin University College of Instrumentation and Electrical Engineering Changchun130021 China Jilin University Department of Laboratory Animals College of Animal Sciences Changchun China Tongda Electromagnetic Energy Co. Ltd. Changsha410000 China University of Macau State Key Laboratory of Analog and Mixed-Signal VLSI Macao999078 China University of Macau Institute of Microelectronics Macao999078 China University of Macau Department of Electrical and Computer Engineering Faculty of Science and Technology Macao999078 China University of Macau State Key Laboratory of Internet of Things for Smart City Macao999078 China

In the context of the increasing global demand for renewable energy and the rapid development of large-scale photovoltaic (PV) power generation, efficient grid connection of PV energy has become crucial. However, existing gridconnected inverters (GCI) face issues such as high-power losses issue of inductive GCI (IGCI) or limited operating ranges issue of capacitive GCI (CGCI). This paper introduces a multiple energy conversion channels fusion GCI (MC-FGCI) for largescale PV power injection. First, MC-FGCI is proposed based on a new topology circuit configuration. Second, an equivalent circuit model of IGCI and CGCI is introduced to calculate the critical point for channel switching. The IGCI and CGCI efficient operating boundaries are determined based on the critical point. Third, based on the efficient operating boundaries, a finite state machine (FSM) based method is proposed to choose the optimal VSI for high-efficiency grid connection. Finally, experimental results show that compared to previous multiple parallel IGCI (MP-IGCI), the proposed MC-FGCI saves around 11% power loss by eliminating the lossy DC/DC link. Compared to MP-CGCI, the proposed MC-FGCI expands the active power injection range under low maximum power point (MPP) voltage. © 1986-2012 IEEE.

关键词： Equivalent circuits

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Advancing Q-switched pulse generation in the 1.9 µm wavelength region using novel thulium-doped fiber gain medium and MXene Nb2CTx saturable absorber

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Optik 2024年 311卷

作者： Hong, Lip Zhan San, Cheng Xiau Jin, Tan Sin Mingzhi, Chi Ahmad, Fauzan Zuikafly, Siti Nur Fatin Latiff, Anas Abdul Paul, Mukul Chnadra Dhar, Anirban Das, Shyamal Harun, Sulaiman Wadi School of Engineering University of Wollongong Malaysia Selangor Shah Alam40150 Malaysia Photonics Engineering Laboratory Department of Electrical Engineering Faculty of Engineering University of Malaya Kuala Lumpur50603 Malaysia Universiti Teknologi Malaysia Kuala Lumpur54100 Malaysia Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka Melaka Hang Tuah Jaya76100 Malaysia Central Glass and Ceramic Research Institute 196 Raja S.C.Mullick RoadJadavpur Kolkata700032 India

This paper presents the first demonstration of a Q-switched Thulium-doped fiber laser (TDFL) utilizing our newly developed Thulium-doped fiber (TDF) and a MXene niobium carbide - polyethylene oxide (Nb2CTx-PEO) thin film as a gain medium and saturable absorber (SA), respectively. The TDF core glass contains 6.15 wt% Al2O3, 2.2 wt% Y2O3, 0.47 wt% Tm2O3, 2.12 wt% GeO2, 1.57 wt% HfO2 and 0.05 wt% Bi2O3 with the absorption of 30 dB/m at 1550 nm. The outcome was the realization of a stable pulsed laser operating at a central wavelength of 1888.3 nm. The Q-switched pulses exhibited a maximum repetition rate of 46.7 kHz and a minimum pulse width of 1.995 µs at a pump power of 731.41 mW. The Q-switched operation maintained a signal-to-noise ratio (SNR) of 45 dB, confirming its stability. This breakthrough highlights the laser system's potential for diverse applications, including free-space optical communication, spectroscopy, and medical fields. © 2024 The Authors

关键词： Signal to noise ratio

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On Robustness of IEEE 802.11 WLAN-based Human Activity Recognition

On Robustness of IEEE 802.11 WLAN-based Human Activity Recog...

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IEEE Conference on Standards for Communications and Networking (CSCN)

作者： Yeqin Li David Chieng Boon Giin Lee Chiew Foong Kwong Chenyu Yang Department of Electrical and Electronic Engineering Next-Generation Internet of Everything Laboratory Faculty of Science and Engineering University of Nottingham Ningbo China Ningbo China Department of Computer Science Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute Faculty of Science and Engineering University of Nottingham Ningbo China Ningbo China

Contact-less or Device-less Human Activity Recognition (HAR) using IEEE 802.11 Wireless Local Area Network (WLAN) has garnered significant interest due to its ubiquitous coverage, convenience, and privacy compared to wearable and vision-based approaches. However, maintaining the accuracy of HAR in varying environments, ranges, and time periods remains a challenge. This work proposes a robust scheme using threshold segmentation, auto-correlation function (ACF), and a lightweight fully connected neural network (FCNN), which can maintain the HAR accuracy across different environments without the need to retrain the model. The proposed scheme is also evaluated across different transceivers’ ranges to understand its deployment constraints. The results demonstrate that the proposed scheme delivers consistent performance across different environments, ranges, and days, achieving an average HAR accuracy of over 97.25% without retraining. This greatly reduces the deployment complexity and enhances its practicality.

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Energy and Reserve Scheduling Based on Security Constrained Convex Optimal Power Flow Considering Wind Power Generation in Europe

Energy and Reserve Scheduling Based on Security Constrained ...

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Sustainable Power and Energy Conference (iSPEC)

作者： Zhao Yuan Electrical Power Systems Laboratory Faculty of Electrical and Computer Engineering University of Iceland Reykjavik Iceland

ISBN: (纸本)9781665414401

Based on security constrained convex optimal power flow (SC-COPF), this paper proposes an energy and operational reserve scheduling approach for the power system. The proposed approach is capable of scheduling energy and operational reserve dynamically according to the power load forecast and the power generation from renewable energy. Reserve requirements to keep the power system in the acceptable security level is equivalently formulated as the linear constraints in the SC-COPF model. The reserve requirements are considered in a statistical way which is a common practice in the power system operations in Europe. For example, the practice in Switzerland of reserve scheduling is to ensure that the maximum probability of power insufficiency should be less than 0.2%. The objective is to minimize the economic cost of the energy production and the reserve provision. The convex optimal power flow (COPF) is used to model the AC power flows of the power network. The capacity constraints of transmission lines are considered in our SC-COPF model by equivalently constraining the power loss variables. The proposed approach is validated by using the modified European transmission network 1354pegase test case. The power load forecast and power generation from renewable energy data from Réseau de Transport d’EÉlectricite (RTE) in France are used for the validation. Numerical results show efficiency of our approach to dynamically schedule the energy and reserve.

关键词： Renewable energy sources Europe Production Wind power generation Dynamic scheduling Mathematical models Numerical models

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DRL-Based Pricing-Driven for Task Offloading and Dynamic Resource in Vehicle Edge Computing

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IEEE Transactions on Mobile Computing 2025年

作者： Wu, Sijun Yang, Liang Li, Junjie Guo, Hongzhi Ahmad, Ishtiaq Da Costa, Daniel Benevides Jiang, Hongbo Niyato, Dusit Hunan University College of Computer Science and Electronic Engineering Changsha410082 China Northwestern Polytechnical University Natl. Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Cybersecurity Shaanxi Xi'an710072 China Czech Technical University in Prague Department of Telecommunication Engineering Faculty of Electrical Engineering Prague166 27 Czech Republic Interdisciplinary Research Center for Communication Systems and Sensing Department of Electrical Engineering Dhahran31261 Saudi Arabia Nanyang Technological University School of Computer Science and Engineering Singapore639798 Singapore

Vehicle Edge Computing (VEC) assists vehicles in performing latency-sensitive tasks by deploying resources near the vehicle. Designing an incentive mechanism for vehicles and VEC is crucial for realizing an intelligent transmission system. Considering the rationality of resource allocation, we model the utility functions of the VEC and the vehicle, which are used as optimization objectives. Specifically, the VEC allocates resources through pricing to maximize revenue under resource-constrained conditions, and the vehicle weighs payments against energy consumption to determine offloading and resource allocation. Given the vehicle movement and the variable channel state, we use the Deep Reinforcement Learning (DRL) algorithm to solve these optimization problems. To reduce the learning difficulty of the DRL algorithm in complex VEC scenarios with multiple optimization variables, we propose a Pricing-Driven Resource Allocation (PDRA) algorithm that performs mobility-aware task offloading and calculates the optimal values of the optimization variables in the utility function of the vehicle to reduce the decision dimension. Furthermore, we also propose a DRL-based Pricing-Driven Dynamic Resource Allocation (DPDDRA) algorithm to achieve efficient resource allocation. Extensive experimental results show that the proposed algorithms can reduce the learning difficulty while maximizing VEC and vehicle revenue in complex VEC scenarios. © 2002-2012 IEEE.

关键词： Deep reinforcement learning

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Near-Visible End-Fire Array with Large FoV Scalable for 3D Sensing and FSO Communication

Near-Visible End-Fire Array with Large FoV Scalable for 3D S...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Shahryar Sabouri Luis Angel Mendoza Velasco Kambiz Jamshidi Integrated Photonic Devices Group Chair of Radio Frequency and Photonics Engineering Communications Laboratory Faculty of Electrical and Computer Engineering Technische Universität Dresden Dresden Germany

At 850 nm, an array of SiN waveguide-emitters (end-fire) to enable wide beam steering and splitting in a field of view of 60° and is presented. A free-space data rate of 6.25 Mb/s is achieved.

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

At 850 nm, an array of SiN waveguide-emitters (end-fire) to enable wide beam steering and splitting in a field of view of 60° and is presented. A free-space data rate of 6.25 Mb/s is achieved.

关键词： Three-dimensional displays Beam steering Waveguide lasers Lasers and electrooptics Sensors Arrays Electro-optical waveguides

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