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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Shingirirai Chakoma Jerome Rajendran Xiaochang Pei Anita Ghandehari Jorge Alfonso Tavares Negrete Rahim Esfandyarpour Department of Electrical Engineering and Computer Science Laboratory for Integrated Nano BioElectronics Innovation The Henry Samueli School of Engineering University of California Irvine Irvine CA USA

ISBN: (数字)9798331530143

ISBN: (纸本)9798331530150

In this study, we present the development and characterization of a self-powered, flexible, and multi-material 3D-printed Triboelectric Nanogenerator-Unit Cell Force (TENG-UCF) sensor designed for multimodal force sensing and energy harvesting. Traditional force sensors, limited by their reliance on single-modal electrical readouts and continuous external power sources, are insufficient for comprehensive sensory applications. Our TENG-UCF sensor overcomes these limitations by leveraging the unique properties of MXene/P ANI composites and SEBS tribo layers, enabling simultaneous force sensing and energy generation. This innovative sensor generates electricity through triboelectric charges produced during contact and separation cycles, with output voltage and capacitance directly correlating with applied force. The TENG-UCF achieves high sensitivity and stability, with a maximum output voltage of 700V and a power density of 816.6 mW/m 2 under optimal conditions. Extensive testing demonstrated the sensor's mechanical stability, and long-term operational viability without significant degradation. Our TENG-UCF sensor represents a significant advancement in sustainable, renewable, and multimodal force sensing technologies, with broad implications for the development of self-powered sensor systems.

关键词： Power system measurements Density measurement Force Voltage Three-dimensional printing Sensor systems Sensors Energy harvesting Triboelectricity Testing

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An Improved Variable Parameter Phase-Locked Loop for Single-Carrier Underwater Acoustic Communications

An Improved Variable Parameter Phase-Locked Loop for Single-...

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2023 MTS/IEEE U.S. Gulf Coast, OCEANS 2023

作者： Liu, Changxin Tao, Jun Huang, Weimin School of Information Science and Engineering Southeast University Nanjing210096 China Pengcheng Laboratory Shenzhen518000 China Memorial University of Newfoundland Department of Electrical and Computer Engineering St. John'sNLA1B 3X5 Canada

ISBN: (纸本)9798218142186

A direct adaptive equalizer (DAE) coupled with a phase-locked loop (PLL) has been proved as an efficient receiver scheme for single-carrier coherent underwater acoustic (UWA) communications. Ever since its birth, numerous improvements have been proposed for the DAE. In contrast, the PLL has been somehow overlooked. A PLL with predetermined coefficients suffers performance degradation when channel conditions change, then a variable-parameter (VP) PLL designed via gradient descent (GD) method was proposed. The GD-VP-PLL is sensitive to parameter initialization though. In this paper, we propose a new VP-PLL scheme in light of the recursive Gauss-Newton (RGN) method. The resulting RGN-VP-PLL has been tested by at-sea experimental data, and showed better performance than the GD-VP-PLL and a PLL with fixed coefficients. Moreover, it is insensitive to initialization of parameters. © 2023 The Marine Technology Society (MTS).

关键词： Underwater acoustic communication

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Imaging atomic-scale chemistry from fused multi-modal electron microscopy

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npj Computational Materials 2022年第1期8卷 164-171页

作者： Jonathan Schwartz Zichao Wendy Di Yi Jiang Alyssa J.Fielitz Don-Hyung Ha Sanjaya D.Perera Ismail El Baggari Richard D.Robinson Jeffrey A.Fessler Colin Ophus Steve Rozeveld Robert Hovden Department of Materials Science and Engineering University of MichiganAnn ArborMIUSA Mathematics and Computer Science Division Argonne National LaboratoryLemontILUSA Advanced Photon Source Facility Argonne National LaboratoryLemontILUSA Dow Chemical Co. MidlandMIUSA Department of Material Science and Engineering Cornell UniversityIthacaNew YorkUSA School of Integrative Engineering Chung-Ang UniversitySeoulRepublic of Korea Department of Physics Cornell UniversityIthacaNYUSA The Rowland Institute at Harvard CambridgeMAUSA Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMIUSA National Center for Electron Microscopy Lawrence Berkeley National LaboratoryMolecular FoundryBerkeleyCAUSA Applied Physics Program University of MIchiganAnn ArborMIUnited States

Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic ***,fused multi-modal electron microscopy offers high signal-to-noise ratio(SNR)recovery of material chemistry at nano-and atomic-resolution by coupling correlated information encoded within both elastic scattering(high-angle annular dark-field(HAADF))and inelastic spectroscopic signals(electron energy loss(EELS)or energy-dispersive x-ray(EDX)).By linking these simultaneously acquired signals,or modalities,the chemical distribution within nanomaterials can be imaged at significantly lower doses with existing detector *** many cases,the dose requirements can be reduced by over one order of *** high SNR recovery of chemistry is tested against simulated and experimental atomic resolution data of heterogeneous nanomaterials.

关键词： materials chemistry fused

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Cloud and Edge based Smart Agriculture: A Real-World Deployment

Cloud and Edge based Smart Agriculture: A Real-World Deploym...

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2024 International Conference on Circuit, Systems and Communication, ICCSC 2024

作者： Et-Taibi, Bouali Abid, Mohamed Riduan Boufounas, El-Mahjoub Benhaddou, Driss Moulay Ismail University of Meknès Reipt Laboratory Faculty of Sciences and Technology of Errachidia Morocco Al Akhawayn University in Ifrane School of Science and Engineering Ifrane53000 Morocco Columbus State University Tsys School of Computer Science ColumbusGA31907 United States University of Houston Department of Engineering Technology 4800 Calhoun Rd HoustonTX77004 United States Alfaisal University College of Engineering Electrical Engineering Department Riyadh Saudi Arabia

ISBN: (纸本)9798350365306

Smart Agriculture presents significant opportunities for transforming farming methods, although its widespread adoption remains constrained by cost barriers, especially for small and medium-sized farmers. To bridge this divide, we propose a cost-effective solution tailored specifically for soilless cultivation within drip irrigation systems. Our approach harnesses the power of IoT, cloud computing, and edge computing to bolster connectivity and streamline data management. Central to our solution is a three-tiered open-source software architecture, which encompasses local sensors, edge computing, and cloud computing layers. Locally deployed Wireless Sensor Networks facilitate real-time monitoring and data acquisition, while the edge tier orchestrates irrigation tasks in the field using Fuzzy Logic algorithms. The cloud layer serves as the backbone for data analytics, storage, and visualization, ensuring optimal resource management. Through the utilization of IoT protocols, seamless communication is established between sensors, edge devices, and the cloud, enabling efficient data exchange and analysis. Our tangible prototype validates the effectiveness of this platform in optimizing drip irrigation systems. This offering provides an accessible solution for small and medium-scale farmers, empowering them to enhance farming productivity and sustainability. © 2024 IEEE.

关键词： Smart agriculture

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Investigation of Traffic Radar Coverage Efficiency under Different Placement Strategies

Investigation of Traffic Radar Coverage Efficiency under Dif...

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International Conference on Internet of Things 2024, ICIoT 2024

作者： Yao, Shun Zhou, Jin Chieng, David Kwong, Chiew Foong Lee, Boon Giin Li, Jianqiang Chen, Yusen Next-Generation Internet of Everything Laboratory Department of Electrical and Electronic Engineering University of Nottingham Ningbo China Ningbo China School of Computer Science University of Nottingham Ningbo China Ningbo China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China Zhejiang Communication Investment Group Co. Ltd. Zhejiang China

This paper presents a comprehensive investigation of traffic radar coverage efficiency under different placement strategies in collaboration with Zhejiang Communications Investment Group Company Limited (CICO). The overall goal is to maximise coverage while minimising blind spots and the number of radars, given the constraints of the road. The NSGA-II multi-objective optimisation algorithm is found to be capable of generating a set of optimal solutions for the proposed radar placement configurations. When aiming for 100% coverage, the results indicate that a multi-antenna radar configuration requires the lowest radar density. Overall, this study provides valuable insights to transportation infrastructure owners in determining the best radar placement strategies for road traffic monitoring. © The Institution of engineering & Technology 2024.

关键词： Multiobjective optimization

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Resilient Cooperative Control of Multiple DC Microgrids With Interconnection Networks Against Cyber Attacks

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 116-126页

作者： Xiao, Feng Liu, Shiyu Wei, Bo Fang, Fang Qin, Jiahu North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China North China Electric Power University School of Control and Computer Engineering Beijing102206 China North China Electric Power University New Energy Generation National Engineering Research Center Beijing102206 China University of Science and Technology of China Department of Automation Hefei230027 China

The two control objectives of voltage regulation and precise current sharing are conflicting in multi-bus DC microgrids. In this paper, a distributed control strategy is proposed, and it can achieve accurate current sharing and regulate the voltage of a critical node to the rated value. However, such a distributed control system is susceptible to potential cyber attacks that could deteriorate microgrids performances by corrupting communication links or actuators. To overcome these difficulties, we design the interconnected communication networks to establish a resilient cooperative system of multiple microgrids against unknown bounded injection attacks. The proposed resilient control strategy can achieve the control objectives of maintaining voltage regulation and current sharing within each microgrids under different operating conditions, and the interconnected system consisting of multiple microgrids cooperates to mitigate the adverse effect of cyber attacks. The dynamics and stability of the overall close-loop system of the DC microgrids are analyzed, in the present or absent of cyber attacks. Simulation results validate the effectiveness of the proposed approach in two 4-bus DC microgrids. © 2023 IEEE.

关键词： Cyber attacks

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Uncovering API-Scope Misalignment in the App-in-App Ecosystem

Proceedings of the ACM on Software Engineering

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Proceedings of the ACM on Software engineering 2025年第ISSTA期2卷 1933-1954页

作者： Jiarui Che Chenkai Guo Naipeng Dong Jiaqi Pei Lingling Fan Xun Mi Xueshuo Xie Xiangyang Luo Zheli Liu Renhong Cheng College of Computer Science Nankai University Tianjin China College of Cryptology and Cyber Science Nankai University Tianjin China Haihe Lab of ITAI Tianjin China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China DISSec College of Cryptology and Cyber Science Nankai University Tianjin China

The "app-in-app" paradigm is an emerging trend in mobile systems, where super applications (short for superApps) such as WeChat, Baidu, TikTok, enable external vendors to develop mini-programs (short for miniApps) on their platforms by providing privileged APIs. To facilitate management, superApps have devised their specific permission configuration (called scope) to grant the APIs access to specific capabilities and resources. Adhering to these scopes during API implementation is crucial for maintaining security; otherwise, the permission management of superApps can be bypassed—a vulnerability we refer to as API-scope misalignment. In this work, we conduct the first systematic study on the API-scope misalignment issues in the app-in-app ecosystems, uncovering root causes and security risks. More importantly, we developed an automatic tool called ScopeChecker to detect the API-scope misalignment in both superApps and miniApps. ScopeChecker extracts the standard API-scope mappings by integrating the Android permission mechanism into the functionalities of superApps. Then, LLM-based code generation is used to create executable API snippets as test cases. The execution results reflect the actual mappings of APIs to their scopes, which are compared with the standard API-scope mappings to identify misalignment. After that, ScopeChecker verifies the identified misalignment in miniApps by matching the misaligned APIs with a tailored method-oriented abstract syntax tree (MAST) of the target miniApp. ScopeChecker identified 38 misaligned APIs in top superApps with manual confirmation, outperforming the state-of-the-art miniApp-focused test methods. As a highlight, we received 11 positive responses from the superApp developers and CNVD, encompassing 9 vulnerability confirmations with rewards: 1 high-risk, 7 medium-risk, and 1 low-risk. To assess prevalence, ScopeChecker evaluated 42𝑘+ miniApps, and found 51% had API-scope misalignment, averaging 1.4 misaligned APIs each. At

关键词： API-Scope Misalignment App-in-App Ecosystem Mobile Systems

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Skyrmionic spin textures in nonparaxial light

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Advanced Photonics 2025年第1期7卷 85-92页

作者： Xinrui Lei Aiping Yang Xusheng Chen Luping Du Peng Shi Qiwen Zhan Xiaocong Yuan Shenzhen University Institute of Microscale Optoelectronics and State Key Laboratory of Radio Frequency Heterogeneous IntegrationNanophotonics Research CenterShenzhen Key Laboratory of Micro-Scale Optical Information TechnologyShenzhenChina University of Shanghai for Science and Technology School of Optical-Electrical and Computer EngineeringShanghaiChina Dongguan University of Technology Research Institute of Interdisciplinary Sciences and School of Materials Science and EngineeringDongguanChina Research Centre for Frontier Fundamental Studies Zhejiang LabHangzhouChina

Topological textures in optics such as skyrmions and merons are increasingly studied for their potential functions in light–matter interactions,deep-subwavelength imaging,and ***,they were previously generated either in strongly confined guided waves or in paraxial *** has posed a significant challenge in constructing skyrmions in nonparaxial propagating waves due to the lack of symmetry-breaking in the optical field and difficulty in characterizing the full three-dimensional spin textures at the *** theoretically propose and experimentally demonstrate the generation of skyrmionic spin textures in nonparaxial light,where skyrmionic textures with a Bloch-type scheme,including isolated skyrmioniums,skyrmion,and meron lattices are generated in free *** introduce the interplay between the Hertz potentials to break the dual symmetry of light and build well-defined domains of *** experimentally realized the topological textures by applying a hybrid polarized optical vortex and observed the complete three-dimensional spin distributions by a dual-mode waveguide *** bridging the gap in the skyrmionic group,we present a topologic diagram,showing how spin–orbit coupling of light governs the spin *** findings offer new insights into optical quasiparticles and electron–photon correspondence,potentially facilitating advanced applications in optical metrology,sensing,and storage.

关键词： spin topology photonic skyrmion spin–orbit coupling of light

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Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification 21

Ensuring Minority Group Rights in Social IoT with Fairness-a...

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21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Mao, Qinghua Lin, Xi Li, Gaolei Chen, Lixing Liu, Yuchen Qi, Yuxin Li, Jianhua Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai China Shanghai Key Laboratory of Integrated Administration Technologies for Information Security Shanghai China North Carolina State University Department of Computer Science NC United States

ISBN: (纸本)9798350329223

Graph neural networks (GNNs) are a powerful tool to predict the categories of IoT nodes for providing diverse high-quality services in the social Internet of Things (SIoT). Intuitively, SIoT could be divided into several communities based on similar interests and mutual trust, whereas interaction between cross-community nodes may intrigue data privacy. With the popularity of federated learning (FL), a global GNN model can be collaboratively trained by exploiting knowledge from multiple parties in a privacy-preserving way. However, since node attributes across different SIoT communities are usually multi-source and heterogeneous, the performance of an optimum global model may exhibit potential bias against minority social groups, i.e, unfairness, thereby undermining the efficiency of node classification and social behavior analysis. To address this problem, we propose PFedNC, a proportional fairness-aware federated learning framework for node classification in SIoT system. Specifically, we incorporate proportional fairness and related Nash bargaining solution into FL optimization objective, which imposes more fairness while maintaining a similar average performance. Moreover, we design a class-balanced re-weighting loss function to mitigate imbalanced class distribution caused by non-IID node distribution. Extensive experiments on two node-level SIoT simulation datasets demonstrate that our PFedNC framework effectively encourages performance fairness among social groups and achieves a favorable tradeoff between fairness and efficiency. © 2023 IEEE.

关键词： Internet of things

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Mid-infrared Photons Released by NAD^(+)Reduction in the Tricarboxylic Acid Cycle of Myelinated Neuron

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Neuroscience Bulletin 2023年第7期39卷 1146-1150页

作者： Daoling Peng Wenpeng Qi Feng Zhang Bo Song Key Laboratory of Theoretical Chemistry of Environment Ministry of EducationSchool of EnvironmentSouth China Normal UniversityGuangzhou 510006China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China Key Laboratory of Optical Technology and Instruments for Medicine Ministry of EducationShanghai Key Lab of Modern Optical SystemsSchool of Optical-Electrical Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China

Dear Editor,Life can utilize energy with high efficiency,especially with the help of aerobic respiration,where the tricarboxylic acid(TCA)cycle acts as an important metabolic engine for mitochondria to produce the cell energy currency of adenosine triphosphate(ATP),and nicotinamide adenine dinucleotide(NAD)plays a particular role of energy management molecule in the TCA cycle[1].

关键词： carboxylic utilize cycle

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