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40th IEEE International Conference on Data engineering, ICDE 2024

作者： Wang, Yanling Zhang, Jing Zhang, Lingxi Liu, Lixin Dong, Yuxiao Li, Cuiping Chen, Hong Yin, Hongzhi School of Information Renmin University of China China Zhongguancun Laboratory China Alibaba Group China Tsinghua University Department of Computer Science and Technology China School of Information Technology and Electrical Engineering The University of Queensland Australia

ISBN: (纸本)9798350317152

Open-world semi-supervised learning (Open-world SSL) for node classification, that classifies unlabeled nodes into seen classes or multiple novel classes, is a practical but under-explored problem in the graph community. As only seen classes have human labels, they are usually better learned than novel classes, and thus exhibit smaller intra-class variances within the embedding space (named as imbalance of intra-class variances between seen and novel classes). Based on empirical and theoretical analysis, we find the variance imbalance can negatively impact the model performance. Pre-trained feature encoders can alleviate this issue via producing compact representations for novel classes. However, creating general pre-trained encoders for various types of graph data has been proven to be challenging. As such, there is a demand for an effective method that does not rely on pre-trained graph encoders. In this paper, we propose an IMbalance-A ware method named OpenIMA for Open-world semi-supervised node classification, which trains the node classification model from scratch via contrastive learning with bias-reduced pseudo labels. Extensive experiments on seven popular graph benchmarks demonstrate the effectiveness of OpenIMA, and the source code has been available on GitHub11https://***/RUCKBReasoning/OpenIMA. © 2024 IEEE.

关键词： Signal encoding

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Distributed Computation Offloading Based on Deep Reinforcement Learning and Blockchain in Internet of Vehicles

Distributed Computation Offloading Based on Deep Reinforceme...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Zhang, Guobin Luo, Zehao Yang, Tingting Dongguan University of Technology School of Electrical Engineering and Intelligentization Dongguan China Dongguan University of Technology School of Computer Science and Technology Dongguan China Pengcheng Laboratory Shenzhen China

ISBN: (纸本)9798350345384

With the rapid development of Internet of Vehicles (IoV), the traditional centralized cloud computing cannot efficiently satisfy the computation requirements of vehicles. The deployment of mobile edge server (MEC) on road side unit (RSU) can shorten the distance between vehicles and computing servers so as to reduce the service delay. In order to provide wide coverage and more computation resources, we introduce high altitude platform system (HAPS) as a central node for computation controlling in the IoV system. To improve data security and user privacy, blockchain technology is applied to verify and determine the offloading strategy between RSUs. Aiming at minimizing the sum of the transmission and computation time, an optimization problem is formulated under the power and offloading constraints. The deep reinforcement learning (DRL) with the soft actor-critic (SAC) algorithm is utilized to solve the problem. Simulation results demonstrate the time reduction by the application of HAPS and significant superiority of the proposed scheme compared to the existing approaches. © 2023 IEEE.

关键词： Reinforcement learning

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A Bayesian Learning Approach to Wireless Outdoor Heatmap Construction Using Deep Gaussian Process 58

A Bayesian Learning Approach to Wireless Outdoor Heatmap Con...

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58th Asilomar Conference on Signals, systems and computers, ACSSC 2024

作者： Zhang, Xiang Hu, Yanyu Nasim, Imtiaz Eggers, Shannon Agarwal, Vivek Mishra, Amitabh Daw, Joshua Bhuyan, Arupjyoti Kasera, Sneha Kumar Ji, Mingyue Technical University of Berlin Germany University of Florida Department of Electrical & Computer Engineering United States Idaho National Laboratory United States Kahlert School of Computing University of Utah United States

ISBN: (纸本)9798350354058

We present a novel Bayesian learning approach to outdoor radio heatmap construction utilizing deep Gaussian Process (GP). The proposed approach employs a two-layer hierarchy that is capable of modeling more complex input-output relations than the standard single-layer GP. Since deriving the exact model likelihood is challenging, a lower bound is optimized instead to find the optimal model parameters. Typically, inducing points are used to facilitate low-rank approximation of covariance (kernel) matrices for computation speedup. However, the inaccuracy induced by inducing points can accumulate when stacking multiple layers of GP which may degrade the performance of deep GP. Moreover, since inducing points need to be learned, having them at all layers of deep GP also incurs computational burden. To overcome the above challenges, in contrast to the canonical deep GP model, we use a modified architecture where a full standard GP resides in the first layer and inducing points are only introduced for the second layer. This modified architecture strikes a balance between model accuracy and training complexity. In the proposed model, the noise parameter of the first GP layer is also eliminated to improve the training efficiency as the noise parameter at the output of the second layer suffices to model the uncertainty in the output. The proposed approach is evaluated on real-world datasets, collected from the Platform for Open Wireless Data-driven Experimental Research (POWDER) located at the campus of the University of Utah. Experimental results show that the proposed approach can achieve superior performance on various training and testing data configurations compared to canonical deep GP schemes, DNN-based and GP-based methods. © 2024 IEEE.

关键词： Gaussian distribution

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An all optical approach for comprehensive in-operando analysis of radiative and nonradiative recombination processes in GaAs double heterostructures

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Light(Science & Applications) 2022年第6期11卷 1206-1217页

作者： Fan Zhang Jose Fcastaneda Timothy Hgfroerer Daniel Friedman Yong-Hang Zhang Mark Wwanlass Yong Zhang Department of Electrical and Computer Engineering The University of North Carolina at CharlotteCharlotteNC 28223USA Songshan Lake Materials Laboratory DongguanGuangdong 523808China Department of Physics Davidson CollegeDavidsonNC 28035USA National Renewable Energy Laboratory GoldenCO 80401USA School of Electrical Computer and Energy EngineeringArizona State UniversityTempeAZ 85287USA Wanlass Consulting NorwoodCO 81423USA

We demonstrate an all optical approach that can surprisingly offer the possibility of yielding much more information than one would expect,pertinent to the carrier recombination dynamics via both radiative and nonradiative processes when only one dominant deep defect level is present in a semiconductor *** applying a band-defect state coupling model that explicitly treats the inter-band radiative recombination and Shockley-Read-Hall(SRH)recombination via the deep defect states on an equal footing for any defect center occupation fraction,and analyzing photoluminescence(PL)as a function of excitation density over a wide range of the excitation density(e.g.,5-6 orders in magnitude),in conjunction with Raman measurements of the LO-phonon plasmon(LOPP)coupled mode,nearly all of the key parameters relevant to the recombination processes can be *** include internal quantum efficiency(IQE),minority and majority carrier density,inter-band radiative recombination rate(Wr),minority carrier nonradiative recombination rate(Wnr),defect center occupation fraction(f)),defect center density(Nt),and minority and majority carrier capture cross-sections(σt andσtM).While some of this information is thought to be obtainable optically,such as IQE and the Wr/Wnr ratio,most of the other parameters are generally considered to be attainable only through electrical techniques,such as current-voltage(Ⅰ-Ⅴ)characteristics and deep level transient spectroscopy(DLTS).Following a procedure developed herein,this approach has been successfully applied to three GaAs double-heterostructures that exhibit two distinctly different nonradiative recombination *** method greatly enhances the usefulness of the simple PL technique to an unprecedented level,facilitating comprehensive material and device characterization without the need for any device processing.

关键词： radiative defect approach

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Physical Layer Security in AmBC-NOMA Networks with Random Eavesdroppers

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IEEE Internet of Things Journal 2025年第12期12卷 18628-18642页

作者： Pei, Xinyue Wang, Xingwei Huang, Min Chen, Yingyang Li, Xiaofan Tsiftsis, Theodoros A. Northeastern University School of Computer Science and Engineering Shenyang110819 China Northeastern University College of Information Science and Engineering Shenyang110819 China Jinan University College of Information Science and Technology Guangzhou510632 China Jinan University School of Intelligent Systems Science and Engineering Zhuhai519070 China University of Thessaly Department of Informatics Telecommunications Lamia35100 Greece University of Nottingham Ningbo China Department of Electrical and Electronic Engineering Ningbo315100 China

In this work, we investigate the physical layer security (PLS) of ambient backscatter communication non-orthogonal multiple access (AmBC-NOMA) networks where non-colluding eavesdroppers (Eves) are randomly distributed. In the proposed system, a base station (BS) transmits a superimposed signal to a typical NOMA user pair, while a backscatter device (BD) simultaneously transmits its unique signal by reflecting and modulating the BS’s signal. Meanwhile, Eves passively attempt to wiretap the ongoing transmissions. Notably, the number and locations of Eves are unknown, posing a substantial security threat to the system. To address this challenge, the BS injects artificial noise (AN) to mislead the Eves, and a protected zone is employed to create an Eve-exclusion area around the BS. Theoretical expressions for outage probability (OP) and intercept probability (IP) are provided to evaluate the system’s reliability-security trade-off. Asymptotic behavior at high signal-to-noise ratio (SNR) is further explored, including the derivation of diversity orders for the OP. Numerical results validate the analytical findings through extensive simulations, demonstrating that both the AN injection and protected zone can effectively enhance PLS. Furthermore, analysis and insights of different key parameters, including transmit SNR, reflection efficiency at the BD, power allocation coefficient, power fraction allocated to desired signal, Eve-exclusion area radius, Eve distribution density, and backscattered AN cancellation efficiency, on OP and IP are also provided. © 2014 IEEE.

关键词： Signal to noise ratio

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Design Methodology for S-S Compensated Sub-Resonant Controlled Inductive Wireless Power Transfer Link with Range of CV Loads Under Frequency Constraints 11

Design Methodology for S-S Compensated Sub-Resonant Controll...

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11th International Conference on Power Electronics, Machines and Drives, PEMD 2022

作者： Vulfovich, Andrey Kuperman, Alon Applied Energy Laboratory School of Electrical and Computer Engineering Ben Gurion University of the Negev Beersheba Israel

ISBN: (数字)9781839537189

ISBN: (纸本)9781839537189

Coupling coefficient of inductive wireless power transfer Link (IWPTL) varies with changes in vertical distance and misalignment between primary and secondary coils. This poses a challenge in system design when a certain geometrical positioning uncertainty is introduced. System design must take this into consideration allowing operation over a range of coupling coefficients rather than a single value. Furthermore, in instances such as electrical vehicle (EV) charging, frequency constraints are introduced such as the bounds in SAEJ2954 standard. This paper proposes a design methodology for series-series (S-S) compensated IWPTL with sub-resonant frequency control allowing for operation over a range of coupling coefficients. Example system is validated by simulation and experimental results. © IET Conference Proceedings. All right reserved.

关键词： systems analysis

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A Scenario-Oriented Approach to Energy-Reserve Joint Procurement and Pricing

A Scenario-Oriented Approach to Energy-Reserve Joint Procure...

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作者： Shi, Jiantao Guo, Ye Tong, Lang Wu, Wenchuan Sun, Hongbin Tsinghua University Smart Grid and Renewable Energy Laboratory Tsinghua-Berkeley Shenzhen Institute Shenzhen International Graduate School Shenzhen518071 China Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing100084 China Cornell University School of Electrical and Computer Engineering IthacaNY14853 United States

We consider some crucial problems related to the secure and reliable operation of power systems with high renewable penetrations: how much reserve should we procure, how should reserve resources distribute among different locations, and how should we price reserve and charge uncertainty sources. These issues have so far been largely addressed empirically. In this paper, we first develop a scenario-oriented energy-reserve co-optimization model, which directly connects reserve procurement with possible outages and load/renewable power fluctuations without the need for empirical reserve requirements. Accordingly, reserve can be optimally procured system-wide to handle all possible future uncertainties with the minimum expected system total cost. Based on the proposed model, marginal pricing approaches are developed for energy and reserve, respectively. Locational uniform pricing is established for energy, and the similar property is also established for the combination of reserve and re-dispatch. In addition, properties of cost recovery for generators and revenue adequacy for the system operator (SO) are also proven. Simulations validate the effectiveness of the proposed mechanism. © 1969-2012 IEEE.

关键词： Costs

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A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces

A Tube-Based Reinforcement Learning Approach for Optimal Mot...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Panagiotis Rousseas Charalampos P. Bechlioulis Kostas J. Kyriakopoulos School of Mechanical Engineering Control Systems Laboratory National Technical University of Athens Greece Department of Electrical and Computer Engineering University of Patras

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In this work, a tube-based nearly optimal solution to motion planning in unknown workspaces is presented. The advantages of reactive motion planning are combined with a Policy Iteration Reinforcement Learning scheme to yield a novel solution for unknown workspaces that inherits provable safety, convergence and optimality. Moreover, in simply-connected workspaces, our method is proven to asymptotically provide the globally optimal path. Our method is compared against a provably asymptotically optimal RRT ⋆ method, as well as a relevant reactive method and provides satisfactory performance, closely matching or outperforming the former.

关键词： Reinforcement learning Planning Safety Robotics and automation Convergence

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Proposed Privacy Preservation Technique for Color Medical Images

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Intelligent Automation & Soft Computing 2023年第4期36卷 719-732页

作者： Walid El-Shafai Hayam A.Abd El-Hameed Noha A.El-Hag Ashraf A.M.Khalaf Naglaa F.Soliman Hussah Nasser AlEisa Fathi E.Abd El-Samie Department of Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Electrical Communications Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt Higher Institute of Commercial Science Management Information SystemsEl-Mahala El-KobraEgypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia

Nowadays,the security of images or information is very *** paper introduces a proposed hybrid watermarking and encryption technique for increasing medical image ***,the secret medical image is encrypted using Advanced Encryption Standard(AES)***,the secret report of the patient is embedded into the encrypted secret medical image with the Least Signiﬁcant Bit(LSB)watermarking *** that,the encrypted secret medical image with the secret report is concealed in a cover medical image,using Kekre’s Median Codebook Generation(KMCG)***,the stego-image obtained is split into 16 ***,it is sent to the *** adopt this strategy to send the secret medical image and report over a network *** proposed technique is assessed with different encryption quality metrics including Peak Signal-to-Noise Ratio(PSNR),Correlation Coefﬁcient(Cr),Fea-ture Similarity Index Metric(FSIM),and Structural Similarity Index Metric(SSIM).Histogram estimation is used to conﬁrm the matching between the secret medical image before and after *** results demonstrate that the proposed technique achieves good performance with high quality of the received medical image and clear image details in a very short processing time.

关键词： LSB steganography AES algorithm KMCG algorithm

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Efficient and accurate numerical-projection of electromagnetic multipoles for scattering objects

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Frontiers of Optoelectronics 2023年第4期16卷 215-226页

作者： Wenfei Guo Zizhe Cai Zhongfei Xiong Weijin Chen Yuntian Chen School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117576Singapore Wuhan National Laboratory of Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China Optics Valley Laboratory Wuhan 430074China

In this paper,we develop an efcient and accurate procedure of electromagnetic multipole decomposition by using the Lebedev and Gaussian quadrature methods to perform the numerical ***,we briefy review the principles of multipole decomposition,highlighting two numerical projection methods including surface and volume ***,we discuss the Lebedev and Gaussian quadrature methods,provide a detailed recipe to select the quadrature points and the corresponding weighting factor,and illustrate the integration accuracy and numerical efciency(that is,with very few sampling points)using a unit sphere surface and regular *** the demonstrations of an isotropic dielectric nanosphere,a symmetric scatterer,and an anisotropic nanosphere,we perform multipole decomposition and validate our numerical projection *** obtained results from our procedure are all consistent with those from Mie theory,symmetry constraints,and fnite element simulations.

关键词： Multipole decomposition Numerical quadrature Light scattering

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