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20th International Conference on Optical Communications and Networks, ICOCN 2022

作者： Shi, Jianyang Fang, Xinyuan Niu, Wenqing Li, Keyao Xu, Zengyi Meng, Weijia Hu, Junhui Su, Hang Li, Dong Ma, Yingnan He, Zhixue Shen, Chao Gu, Min Yu, Shaohua Chi, Nan Shanghai China Peng Cheng Laboratory Shenzhen China Institute of Photonic Chips University of Shanghai for Science and Technology Shanghai China Centre for Artificial-Intelligence Nanophotonics School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

We demonstrate a visible light communication (VLC) system based on compact eight-color laser transmitter. A capacity of 805Gbit/s and mean spectral efficiency of 50.3 bits/s/Hz can be achieved utilizing 8-λ, WDM and ... 详细信息

ISBN: (数字)9781665458986

ISBN: (纸本)9781665458986

关键词： Visible light communication

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Transient Analysis of Space-Time Frequency-Dispersive Metal Slabs

Transient Analysis of Space-Time Frequency-Dispersive Metal ...

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International Congress on Advanced Electromagnetic Materials in Microwaves and Optics (METAMATERIALS)

作者： Pablo H. Zapata-Cano Salvador Moreno-Rodríguez Stamatios Amanatiadis Antonio Alex-Amor Zaharias D. Zaharis Carlos Molero School of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Department of Signal Theory Telematics and Communications Research Centre for Information and Communication Technologies (CITIC-UGR) Universidad de Granada Granada Spain Department of Electrical and Systems Engineering Philadelphia University of Pennsylvania Pennsylvania United States

ISBN: (数字)9798350373493

ISBN: (纸本)9798350373509

In this paper, we analyze the scattering of an incident plane wave on a space-time metal slab in the presence of dispersion. Frequency dispersion is taken into account here by means of the Drude model. Analytical results, obtained via first-principle calculations, are in good agreement with in-house finite-difference time-domain (FDTD) computations.

关键词： Transient response Time-frequency analysis Metals Scattering Time-domain analysis Slabs Transient analysis Dispersion Physics Finite difference methods

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Enhancing Quantum Emission from Spin Defects in Hexagonal Boron Nitride with a Plasmonic Nanocavity

Enhancing Quantum Emission from Spin Defects in Hexagonal Bo...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Xu, Xiaohui Solanki, Abhishek B. Sychev, Demid Gao, Xingyu Peana, Samuel Baburin, Alexander S. Pagadala, Karthik Martin, Zachariah O. Chowdhury, Sarah N. Chen, Yong P. Taniguchi, Takashi Watanabe, Kenji Rodionov, Ilya A. Kildishev, Alexander Li, Tongcang Upadhyaya, Pramey Boltasseva, Alexandra Shalaev, Vladimir M. School of Materials Engineering Purdue University West LafayetteIN47907 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Department of Physics and Astronomy Purdue University West LafayetteIN47907 United States FMN Laboratory BaumanMoscow State Technical University Moscow105005 Russia National Institute for Materials Science Namiki Tsukuba305-0044 Japan Moscow127055 Russia

We report a 250-fold photoluminescence enhancement of VB- spin-defects in hBN by coupling them to nanopatch antennas (NPA). Considering the relative size of the NPAs and laser-spot, an actual enhancement of 1695 times... 详细信息

ISBN: (纸本)9781957171258

关键词： Defects

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Exploiting NOMA Transmissions in Multi-UAV-assisted Wireless Networks: From Aerial-RIS to Mode-switching UAVs

arXiv

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arXiv 2024年

作者： Zhao, Songhan Gong, Shimin Gu, Bo Li, Lanhua Lyu, Bin Hoang, Dinh Thai Yi, Changyan The School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-sen University China The Guangdong Provincial Key Laboratory of Fire Science and Intelligent Emergency Technology Guangzhou510006 China The School of Communications and Information Engineering Nanjing University of Posts and Telecommunications China The School of Electrical and Data Engineering University of Technology Sydney Australia The College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China

In this paper, we consider an aerial reconfigurable intelligent surface (ARIS)-assisted wireless network, where multiple unmanned aerial vehicles (UAVs) collect data from ground users (GUs) by using the non-orthogonal multiple access (NOMA) method. The ARIS provides enhanced channel controllability to improve the NOMA transmissions and reduce the co-channel interference among UAVs. We also propose a novel dual-mode switching scheme, where each UAV equipped with both an ARIS and a radio frequency (RF) transceiver can adaptively perform passive reflection or active transmission. We aim to maximize the overall network throughput by jointly optimizing the UAVs’ trajectory planning and operating modes, the ARIS’s passive beamforming, and the GUs’ transmission control strategies. We propose an optimization-driven hierarchical deep reinforcement learning (O-HDRL) method to decompose it into a series of subproblems. Specifically, the multi-agent deep deterministic policy gradient (MADDPG) adjusts the UAVs’ trajectory planning and mode switching strategies, while the passive beamforming and transmission control strategies are tackled by the optimization methods. Numerical results reveal that the O-HDRL efficiently improves the learning stability and reward performance compared to the benchmark methods. Meanwhile, the dual-mode switching scheme is verified to achieve a higher throughput performance compared to the fixed ARIS scheme. Copyright © 2024, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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TEMPORAL UP-SAMPLING for ASYNCHRONOUS EVENTS

arXiv

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arXiv 2022年

作者： Xiang, Xijie Zhu, Lin Li, Jianing Tian, Yonghong Huang, Tiejun Department of Electrical and Computer Engineering Shanghai Jiao Tong University China School of Computer Science Peking University China Peng Cheng National Laboratory China

The event camera is a novel bio-inspired vision sensor. When the brightness change exceeds the preset threshold, the sensor generates events asynchronously. The number of valid events directly affects the performance of event-based tasks, such as reconstruction, detection, and recognition. However, when in low-brightness or slow-moving scenes, events are often sparse and accompanied by noise, which poses challenges for event-based tasks. To solve these challenges, we propose an event temporal up-sampling algorithm1 to generate more effective and reliable events. The main idea of our algorithm is to generate up-sampling events on the event motion trajectory. First, we estimate the event motion trajectory by contrast maximization algorithm and then up-sampling the events by temporal point processes. Experimental results show that upsampling events can provide more effective information and improve the performance of downstream tasks, such as improving the quality of reconstructed images and increasing the accuracy of object detection. Copyright © 2022, The Authors. All rights reserved.

关键词： Luminance

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Priority-Driven Task Scheduling and Resource Allocation in Cloud Environment

Priority-Driven Task Scheduling and Resource Allocation in C...

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Ubiquitous Networking (UNet), International Conference on

作者： Hicham Ben Alla Said Ben Alla Abdellah Ezzati Mathematics and Computer Science Department LAVETE laboratory Science and Technical Faculty Hassan 1 University Settat Morocco Industrial Systems Engineering Department LAVETE laboratory National School of Applied Sciences - Berrechid Hassan 1 University Settat Morocco

ISBN: (数字)9798350356144

ISBN: (纸本)9798350356151

Currently, efficient task scheduling and resource allocation processes are crucial for optimizing performance in cloud computing environments. In this paper, we introduce a novel approach that prioritizes tasks based on their specific requirements and allocates resources accordingly. Task priority is determined through a scoring threshold that considers different requirements such as deadline, temporal requirements, and task length. To ensure efficient matching, virtual machines (VMs) are categorized into three distinct groups using K-means clustering. Simulations conducted within the CloudSim simulator demonstrate the effectiveness of this method, leading to significant reductions in makespan and energy consumption, while simultaneously improving resource utilization compared to existing algorithms.

关键词： Cloud computing Energy consumption Processor scheduling Computational modeling Clustering algorithms Dynamic scheduling Resource management

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电催化还原二氧化碳合成C_(3+)产物

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Science China Materials 2024年第6期67卷 1780-1790页

作者：罗雨婷胡书萁刘碧录 Department of Electrical and Computer Engineering University of TorontoTorontoOntario M5S 3G4Canada Shenzhen Geim Graphene Center Shenzhen Key Laboratory of Layered Materials for Value-Added ApplicationsTsinghua-Berkeley Shenzhen Institute&Institute of Materials ResearchTsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China

通过电催化还原反应将二氧化碳(CO_(2))转换为重要燃料和化工原料意义重大,有利于推进工业低碳化发展.如今,该技术路线可以实现C_(1)和C_(2)产物的高选择性、快速合成,但合成高值碳三加(C_(3+))产物的转化率仍较低.本文中,我们聚焦电催... 详细信息

通过电催化还原反应将二氧化碳(CO_(2))转换为重要燃料和化工原料意义重大,有利于推进工业低碳化发展.如今,该技术路线可以实现C_(1)和C_(2)产物的高选择性、快速合成,但合成高值碳三加(C_(3+))产物的转化率仍较低.本文中,我们聚焦电催化还原二氧化碳合成C_(3+)产物的进展,重点关注CO_(2)转化为C_(3+)产物的催化剂材料、电化学系统和串联反应器这三个方面.最后,本文指出了该领域面临的主要挑战和未来的研究方向.

关键词：电催化还原二氧化碳催化剂材料化工原料高选择性快速合成转化率

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Detecting Characteristic Points for the Analysis of Bioimpedance Signal Through a Synergy of Fuzzy Rule-based models and Granular Neural Networks

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IEEE Transactions on Fuzzy systems 2024年

作者： Wang, Dan Richter, Monika Zhu, Xiubin Pedrycz, Witold Gacek, Adam Sobotnicki, Aleksander Li, Zhiwu Xi'an University of Science and Technology College of Computer Science and Technology Xi'an710054 China Center for Biomedical Engineering Lukasiewicz Research Network-Krakow Institute of Technology Zabrze41-800 Poland Xidian University School of Mechano-Electronic Engineering Xi'an710071 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2V4 Canada Polish Academy of Sciences Systems Research Institute Warsaw00-901 Poland Istinye University Faculty of Engineering and Natural Sciences Department of Computer Engineering Sariyer Istanbul Turkey Macau University of Science and Technology Institute of Systems Engineering Taipa China

In this study, we propose a novel methodology for determining accurate positions of characteristic points encountered in the analysis of bioimpedance signals. The proposed approach fully utilizes two fundamental modeling pursuits based on fuzzy rule-based models and neural networks. We take advantages of the unique capabilities of fuzzy rule-based models to characterize the nonlinear relationship between the acquired bioimpedance signals and its temporal coordinate. The fuzzy modeling approach is used to approximate the process that generates the bioimpedance signals through a collection of rules (if-then statements). In the sequel, the parameters of the models are used as the inputs of neural network models to determine the position of characteristic points. We further augment the numeric neural network to its granular counterpart to accommodate the uncertainty in the available experimental evidence through allocating a certain level of information granularity across the parameter space. The resulting granular outputs (intervals) become reflective of the quality and a level of confidence associated with the prediction results. The quality of the prediction results is quantified in terms of the coverage and specificity criteria. The performance index is also enhanced to deal with the situation when the positions provided by experts are also information granules (intervals). The performance of the proposed approach is justified through a collection of experiments carried out on the collected real-world bioimpedance signals. Experimental results show that the proposed approach achieved higher accuracy in determining the position of characteristic points in comparison with other existing methods. © 1993-2012 IEEE.

关键词： Fuzzy models

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CKTGNN: CIRCUIT GRAPH NEURAL NETWORK FOR ELECTRONIC DESIGN AUTOMATION

arXiv

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arXiv 2023年

作者： Dong, Zehao Cao, Weidong Zhang, Muhan Tao, Dacheng Chen, Yixin Zhang, Xuan Department of Computer Science & Engineering Washington University St. Louis United States Department of Electrical & Systems Engineering Washington University St. Louis United States Institute for Artificial Intelligence Peking University China School of Computer Science The University of Sydney Australia

The electronic design automation of analog circuits has been a longstanding challenge in the integrated circuit field due to the huge design space and complex design trade-offs among circuit specifications. In the past decades, intensive research efforts have mostly been paid to automate the transistor sizing with a given circuit topology. By recognizing the graph nature of circuits, this paper presents a Circuit Graph Neural Network (CktGNN) that simultaneously automates the circuit topology generation and device sizing based on the encoder-dependent optimization subroutines. Particularly, CktGNN encodes circuit graphs using a two-level GNN framework (of nested GNN) where circuits are represented as combinations of subgraphs in a known subgraph basis. In this way, it significantly improves design efficiency by reducing the number of subgraphs to perform message passing. Nonetheless, another critical roadblock to advancing learning-assisted circuit design automation is a lack of public benchmarks to perform canonical assessment and reproducible research. To tackle the challenge, we introduce Open Circuit Benchmark (OCB), an open-sourced dataset that contains 10K distinct operational amplifiers with carefully-extracted circuit specifications. OCB is also equipped with communicative circuit generation and evaluation capabilities such that it can help to generalize CktGNN to design various analog circuits by producing corresponding datasets. Experiments on OCB show the extraordinary advantages of CktGNN through representation-based optimization frameworks over other recent powerful GNN baselines and human experts' manual designs.. Our work paves the way toward a learning-based open-sourced design automation for analog circuits. Our source code is available at https://***/zehao-dong/CktGNN. Copyright © 2023, The Authors. All rights reserved.

关键词： Timing circuits

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Reduced-Complexity Approach for Opacity Enforcement Based on Extended Insertion Functions with Limited Insertion Events

Reduced-Complexity Approach for Opacity Enforcement Based on...

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IEEE International Conference on Networking, Sensing and Control

作者： Xiaoyan Li Christoforos N. Hadjicostis Zhiwu Li School of Information and Communication Engineering North University of China Taiyuan China Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Institute of Systems Engineering Macau University of Science and Technology Macau SAR China

Opacity is a security and privacy property that guarantees predefined secret behavior of a cyber-physical system will not be inferred with certainty by a malicious entity. If a system is opacity-violating, extended insertion functions that insert fake symbols can be implemented to enforce opacity. By constricting the ways in which the fake symbols are inserted, this paper addresses opacity enforcement under the framework of finite state automata using extended insertion functions under event insertion constraints and limited insertion events constraints, i.e., only a limited number of symbols in a specified set can be inserted before and after an actual system output. The notion of (k b ,k a )-EIC-enforceability is proposed to describe how to enforce opacity via extended insertion functions in the presence of both event insertion constraints and limited insertion events constraints. A necessary and sufficient condition to check (k b ,k a )-EIC-enforceability is derived by constructing an appropriate verifier.

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