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arXiv 2024年

作者： Wang, Zhonghao Yuan, Ru Fu, Jiaye Wong, Ka-Chun Peng, Chengbin College of Information Science and Engineering Ningbo University Ningbo315200 China Key Laboratory of Mobile Network Application Technology of Zhejiang Province Ningbo315200 China Department of Computer Science City University of Hong Kong 999077 Hong Kong School of Management Xi’an Polytechnic University Xi’an710048 China

Core-periphery structure is an essential mesoscale feature in complex networks. Previous researches mostly focus on discriminative approaches while in this work, we propose a generative model called masked Bayesian non-negative matrix factorization. We build the model using two pair affiliation matrices to indicate core-periphery pair associattions and using a mask matrix to highlight connections to core nodes. We propose an approach to infer the model parameters, and prove the convergence of variables with our approach. Besides the abilities as traditional approaches, it is able to identify core scores with overlapping core-periphery pairs. We verify the effectiveness of our method using randomly generated networks and real-world networks. Experimental results demonstrate that the proposed method outperforms traditional approaches. © 2024, CC BY.

关键词： Complex networks

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A Multi-Channel Tunable Periodic Narrowband Filter Chip Composed of Cascaded Silicon Nitride Microring Resonators 19

A Multi-Channel Tunable Periodic Narrowband Filter Chip Comp...

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19th International Conference on Optical Communications and networks, ICOCN 2021

作者： Zhu, Runliang Yin, Feifei Wan, Xin Dai, Yitang Xu, Kun State Key Laboratory of Information Photonics and Optical Communication Department of Electronic Engineering Beijing University of Posts and Telecommunications Beijing100876 China National Computer Network Emergency Response Technical Team Coordination Center of China Beijing100029 China

ISBN: (纸本)9781665424462

A multi-channel tunable periodic narrowband filter chip composed of cascaded silicon nitride (Si3N4) microring resonators (MRR) is proposed and implemented in this paper. We have assembled eight MRRs with the same structure on a silicon based chip with a size of 9mm*1.8mm. The waveguide material is silicon nitride with low transmission loss, and its transmission loss is about 0.2dB/cm. The central wavelength of the MRR can be tuned by thermal-optical effect. The experimental results show that the FSR is about 260GHz, the channel's 3dB bandwidth range is 0.78-1.33GHz, the thermal modulation coefficient is about 0.33GHz/mW, and the central frequency tuning range is about 60GHz. The chip has the following features, including multi-channel, narrow bandwidth and wide tuning range, which can be used in microwave photonic system instead of traditional optical filters. © 2021 IEEE.

关键词： Silicon nitride

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Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning

Tackling Data Sparsity and Combinatorial Challenges in Rare ...

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IEEE International Conference on Big Data

作者： Armin Berger Tom Anglim Lagones Lorenz Grigull Lara Fendrich Thiago Bell Henriette Högl Gundula Ernst Ralf Schmidt David Bascom Rafet Sifa Max Lübbering Department of Media Engineering Fraunhofer IAIS Germany Department of Computer Science University of Bonn Germany West-AI - Federal Ministry of Education and Research Germany Department of Health Queensland Australia Griffith University - School of Medicine Australia University Hospital Bonn - Center for Rare Diseases Germany Children’s Network for Chronic Illnesses and Disabilities Germany Department of Medical Psychology Medical School Hannover Germany

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

With over 7,000 known rare diseases and a prevalence of less than one in a thousand, rare diseases pose substantial challenges to advanced medical support networks. This study investigates the efficacy of ***, a novel social networking platform designed for individuals affected by rare diseases, including patients, their family members, and medical professionals, addressing data sparsity and combinatorial complexities in user matching. We demonstrate that simple matching heuristics already serve as a decent basis for collecting user feedback on match quality. Leveraging over 10,000 user matching feedback scores from more than 2,000 active users, we evaluate algorithms including collaborative filtering and user embedding similarity with state-of-the-art Large Language Models (LLMs). With a top-10 and top-5 hit-rate of 55% and 37%, respectively, we show that a combination of medical data augmentation and embeddings significantly enhances performance beyond the initial heuristic baseline.

关键词： Social networking (online) Large language models Collaborative filtering Machine learning Big Data Data augmentation Data models Complexity theory Diseases

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Disco Intelligent Reflecting Surfaces: Active Channel Aging for Fully-Passive Jamming Attacks

arXiv

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arXiv 2023年

作者： Huang, Huan Zhang, Ying Zhang, Hongliang Cai, Yi Swindlehurst, A. Lee Han, Zhu Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou Key Laboratory of Advanced Optical Communication Network Technology Soochow University Jiangsu Suzhou215006 China The School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China The School of Electronics Peking University Beijing100871 China The Center for Pervasive Communications and Computing University of California IrvineCA92697 United States The Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States

Due to the open communications environment in wireless channels, wireless networks are vulnerable to jamming attacks. However, existing approaches for jamming rely on knowledge of the legitimate users’ (LUs’) channels, extra jamming power, or both. To raise concerns about the potential threats posed by illegitimate intelligent reflecting surfaces (IRSs), we propose an alternative method to launch jamming attacks on LUs without either LU channel state information (CSI) or jamming power. The proposed approach employs an adversarial IRS with random phase shifts, referred to as a "disco" IRS (DIRS), that acts like a "disco ball" to actively age the LUs’ channels. Such active channel aging (ACA) interference can be used to launch jamming attacks on multi-user multiple-input single-output (MU-MISO) systems. The proposed DIRS-based fully-passive jammer (FPJ) can jam LUs with no additional jamming power or knowledge of the LU CSI, and it can not be mitigated by classical anti-jamming approaches. A theoretical analysis of the proposed DIRS-based FPJ that provides an evaluation of the DIRS-based jamming attacks is derived. Based on this detailed theoretical analysis, some unique properties of the proposed DIRS-based FPJ can be obtained. Furthermore, a design example of the proposed DIRS-based FPJ based on one-bit quantization of the IRS phases is demonstrated to be sufficient for implementing the jamming attack. In addition, numerical results are provided to show the effectiveness of the derived theoretical analysis and the jamming impact of the proposed DIRS-based FPJ. Copyright © 2023, The Authors. All rights reserved.

关键词： Wireless networks

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Impact of Hardware Impairments on Covert Cooperative Backscatter Communications

Impact of Hardware Impairments on Covert Cooperative Backsca...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Huan Li Yinghui Ye Lu Lv Guangyue Lu Naofal Al-Dhahir Shaanxi information communication network and security Laboratory Xi'an University of Posts and Telecommunications Xi'an China State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Department of Electrical and Computer Engineering The University of Texas at Dallas Richardson TX USA

In this paper, we investigate a covert cooperative backscatter communication (BackCom) network under residual hardware impairments (RHIs) that are unavoidable in practical radio frequency transceivers and may have an impact on the communication covertness and reliability. By exploiting the availability of statistical channel state information, we derive analytic expressions for the eavesdropper's detection error probability (DEP) and system outage probability (SOP) to evaluate the system covertness and communication reliability, respectively. Using the derived results, we prove that RHIs can improve the communication covertness but significantly degrade the outage performance. We also show that under RHIs and extremely high transmit signal-to-noise levels, the system outage performance has a non-zero asymptote, while the DEP still approaches one, similar to the scenario with perfect hardware. computer simulations corroborate our analytical results.

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Light-Field Image Multiple Reversible Robust Watermarking Against Geometric Attacks

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IEEE Transactions on Dependable and Secure Computing 2025年

作者： Wang, Chunpeng Zhang, Qinghua Wang, Xiaoyu Zhou, Linna Li, Qi Xia, Zhiqiu Ma, Bin Shi, Yun-Qing Qilu University of Technology (Shandong Academy of Sciences) Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan 250353 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan 250353 China Beijing University of Posts and Telecommunications School of Cyberspace Security Beijing 100876 China New Jersey Institute of Technology Department of Electrical and Computer Engineering Newark 07102 NJ United States

Light-field (LF) images contain rich visual information and have broader application scenarios than traditional images. However, their complex structure also makes their copyright protection more challenging. Currently, there are few watermarking schemes suitable for LF images, and most of them fail to restore the original image after embedding the watermark. In addition, geometric attacks remain a difficult problem in the field of LF image watermarking. In this study, we propose a multiple reversible robust LF image watermarking scheme based on code division multiplexing (CDM) and quaternion polar harmonic Fourier moments (QPHFMs). This scheme embeds multiple identical watermarks into the LF macro-pixel image, and the compensation information for information loss caused by watermark embedding is reversibly embedded into the LF sub-aperture images. The watermark can be extracted and the original LF image can be fully recovered if the image has not been attacked. The watermark can be extracted to verify the copyright ownership of the LF image even when the image has been attacked. Experimental results demonstrate that the proposed watermarking scheme is resistant to various attacks and exhibits strong robustness. © 2004-2012 IEEE.

关键词： Code division multiplexing Light-field images Multiple watermarking Quaternion polar harmonic Fourier moments Reversible data hiding Robust watermarking

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Introduction of the Study Results of the Moon Electrical Power Systems 22

Introduction of the Study Results of the Moon Electrical Pow...

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22nd IAA Symposium on Building Blocks for Future Space Exploration and Development at the 75th International Astronautical Congress, IAC 2024

作者： Oka, Noriaki Yamauchi, Kenji Ijichi, Koichi Yanagawa, Hiroki Kashimura, Osamu Uchida, Atsushi Tanaka, Koji Mitani, Tomohiko Honjo, Kazuhiko Ishikawa, Ryo Ishimura, Kosei Fujino, Yoshiyuki Fujita, Kazuhisa Itoh, Kenji Kawakami, Yoshihiro Ishikawa, Yoji Yamaguchi, Hiroshi Ogawa, Akihiko Japan Space Systems 3-5-8 Shibakoen Minato-ku Tokyo105-0011 Japan Emerging Technologies and Security Division Mitsubishi Research Institute Inc. 10-3 Nagatacho 2-chome Chiyoda-ku Tokyo100-8141 Japan Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo-ku Kanagawa Sagamihara252-5210 Japan Kyoto University Gokasho Kyoto Uji611-0011 Japan Department of Computer and Network Engineering The University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan Dept. of Modern Mechanical Engineering School of Creative Science and Engineering Waseda University 3-4-1 Okubo Shinjuku-ku Tokyo169-8555 Japan Faculty of Science and Engineering Toyo University 2100 Kujirai Saitama-ken Kawagoe350-8585 Japan 1955-1 Kurematsu-cho chuo-ku Shizuoka Hamamatsu431-1202 Japan Department of Electrical and Electronic Engineering College of Engineering Kanazawa Institute of Technology 7-1 Ohgigaoka Ishikawa Nonoichi921-8501 Japan Obayashi Future Lab. Technology Division Obayashi Corporation 2-15-2 Konan Minato-ku Tokyo108-8502 Japan 492 Minosho-machi Nara-ken YamatoKoriyama639-1186 Japan Electronics Technologies Office Technologies Development Department IHI Aerospace Co. Ltd. 900 Fujiki Gunma-ken Tomioka-shi370-2398 Japan

ISBN: (纸本)9798331312251

Since the year of 2021, Ministry of Economy, Trade and Industry (METI) started work on the energy issues on the Moon including the feasibility study of the electrical power system with Mitsubishi Research Institute, Japan Space Systems, Institute of Space and Astronautical Science of Japan Aerospace Exploration Agency (JAXA), the universities and the industries. The architecture of the Moon electrical power infrastructure is found to be more like those of the power infrastructure of the earth than current satellite power system, and consisted of the power generation, power distribution grid and the power storage, and supplying electrical power to the consumer. The differences are that the environment of the Moon such as the vacuum and temperature condition, the influence of the regolith, etc. should have to be considered, and also the transportation cost of the construction is the key factor for the necessary technology to be selected. Of course, the technologies already established by the International Space Station (ISS) should be applied where necessary such as in the human habitable area. And more feature of the Moon is that the power generation on the Moon orbit and be sent to the surface or the inside the Permanent Shadow Region (PSR) other than on the surface of the Moon. The main consumer of the power system until the year 2050th is the water extraction and then the electrolysis of the water for, such as, the propellant for the transportation means and the electricity for the human habitant. The results of the system feasibility study of the Moon power architecture and also the electric power system team activities including the discussion with the hydrogen production team are going to be introduced. Copyright © 2024 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Space power generation

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Sim2Real Grasp Pose Estimation for Adaptive Robotic Applications

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IFAC-PapersOnLine 2023年第2期56卷 5233-5239页

作者： Dániel Horváth Kristóf Bocsi Gábor Erdős Zoltán Istenes Centre of Excellence in Production Informatics and Control Institute for Computer Science and Control Eőtvős Loránd Research Network Budapest Hungary CoLocation Center for Academic and Industrial Cooperation Eőtvős Loránd University Budapest Hungary Department of Manufacturing Science and Engineering Budapest University of Technology and Economics Budapest Hungary

Adaptive robotics plays an essential role in achieving truly co-creative cyber physical systems. In robotic manipulation tasks, one of the biggest challenges is to estimate the pose of given workpieces. Even though the recent deep-learning-based models show promising results, they require an immense dataset for training. In this paper, two vision-based, multi-object grasp pose estimation models (MOGPE), the MOGPE Real-Time and the MOGPE High-Precision are proposed. Furthermore, a sim2real method based on domain randomization to diminish the reality gap and overcome the data shortage. Our methods yielded an 80% and a 96.67% success rate in a real-world robotic pick-and-place experiment, with the MOGPE Real-Time and the MOGPE High-Precision model respectively. Our framework provides an industrial tool for fast data generation and model training and requires minimal domain-specific data.

关键词： adaptive robotics robot vision sim2real knowledge transfer smart manufacturing cyber physical production systems

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Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation

arXiv

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arXiv 2023年

作者： Luo, Bing Feng, Yutong Wang, Shiqiang Huang, Jianwei Tassiulas, Leandros Electrical and Computer Engineering Division of Natural and Applied Sciences Duke Kunshan University Kunshan China School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China Ibm T. J. Watson Research Center Yorktown HeightsNY United States Department of Electrical Engineering Institute for Network Science Yale University United States

Incentive mechanism is crucial for federated learning (FL) when rational clients do not have the same interests in the global model as the server. However, due to system heterogeneity and limited budget, it is generally impractical for the server to incentivize all clients to participate in all training rounds (known as full participation). The existing FL incentive mechanisms are typically designed by stimulating a fixed subset of clients based on their data quantity or system resources. Hence, FL is performed only using this subset of clients throughout the entire training process, leading to a biased model because of data heterogeneity. This paper proposes a game-theoretic incentive mechanism for FL with randomized client participation, where the server adopts a customized pricing strategy that motivates different clients to join with different participation levels (probabilities) for obtaining an unbiased and high-performance model. Each client responds to the server's monetary incentive by choosing its best participation level, to maximize its profit based on not only the incurred local cost but also its intrinsic value for the global model. To effectively evaluate clients' contribution to the model performance, we derive a new convergence bound which analytically predicts how clients' arbitrary participation levels and their heterogeneous data affect the model performance. By solving a non-convex optimization problem, our analysis reveals that the intrinsic value leads to the interesting possibility of bidirectional payment between the server and clients. Experimental results using real datasets on a hardware prototype demonstrate the superiority of our mechanism in achieving higher model performance for the server as well as higher profits for the clients. © 2023, CC BY.

关键词： Profitability

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Shaping advice in deep multi-agent reinforcement learning

arXiv

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arXiv 2021年

作者： Xiao, Baicen Ramasubramanian, Bhaskar Poovendran, Radha Network Security Lab Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States

Multi-agent reinforcement learning involves multiple agents interacting with each other and a shared environment to complete tasks. When rewards provided by the environment are sparse, agents may not receive immediate feedback on the quality of actions that they take, thereby affecting learning of policies. In this paper, we propose a method called Shaping Advice in deep Multi-agent reinforcement learning (SAM) to augment the reward signal from the environment with an additional reward termed shaping advice. The shaping advice is given by a difference of potential functions at consecutive time-steps. Each potential function is a function of observations and actions of the agents. The shaping advice needs to be specified only once at the start of training, and can be easily provided by non-experts. We show through theoretical analyses and experimental validation that the shaping advice provided by SAM does not distract agents from completing tasks specified by the environment reward. Theoretically, we prove that the convergence of policy gradients and value functions when using SAM implies the convergence of these quantities in the same environment in the absence of SAM. Experimentally, we evaluate SAM on three tasks in the multi-agent Particle World environment that have sparse rewards. We observe that using SAM results in agents learning policies to complete tasks faster, and obtain higher rewards than: i) using sparse rewards alone;ii) a state-of-the-art reward redistribution method. © 2021, CC BY.

关键词： Multi agent systems

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