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Artificial intelligence motivated flexible single-electrode mode multilayer triboelectric sensor for smart mobility systems

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NANO ENERGY 2024年 125卷

作者： Li, Yang Qin, Mingze Lin, Qinghui Liu, Jianwen Wu, Shixiang Yao, Zhao Li, Yuanyue Sun, Tao Kan, Hao Univ Jinan Sch Informat Sci & Engn Shandong Prov Key Lab Network Based Intelligent Co Jinan 250022 Peoples R China Shandong Univ Sch Integrated Circuits Jinan 250101 Peoples R China Qingdao Univ Coll Elect & Informat Qingdao 266071 Peoples R China

Triboelectric tactile sensing technique is increasingly coming into people's lives to bring convenience, so that there is an urgent necessity for this technique to be applied to smart mobility to increase safety and enhance the mobility experience. Herein, a single-electrode mode multilayer triboelectric sensor (MTS) motivated by artificial intelligence (AI) is proposed, which consists of styrene-butadiene-styrene (SBS)/ poly (vinylida-ene fluoridetrifluoroethylene) (PVDF-TrFE) nanofibers (NFs) film as the friction layer and substrate, laser-induced graphene (LIG)/molybdenum disulfide (MoS2) as the charge trapping layer, and Ag as the electrode. The MTS exhibits remarkable sensing performance, such as a wide response range of 5-100 N, 0.4-2 Hz multi-frequency response capability, and non-contact sensing, as well as distinguished self-powered performance. To demonstrate the practical significance of the proposed MTS, two applications are explored specifically after equipping with AI, including: (i) a smart in-vehicle system is constructed, which consists of unlocking section and multifunctional control with early warning section. (ii) a smart car control system is implemented, which can carry out special tasks instead of humans. These applications provide reliable ways to promote the development of humanmachine interaction and smart mobility, as well as help to make lifestyles and mobility smarter, safer and more convenient.

关键词： Flexible sensor Triboelectric sensor Artificial intelligence motivated sensing Self -powered system

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The Impact of Rate Adaptation on User performance in 5G/6G mmWave/Sub-THz systems

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IEEE COMMUNICATIONS LETTERS 2023年第11期27卷 3137-3141页

作者： Sopin, Eduard Maslov, Alexander Begishev, Vyacheslav Samuyilov, Konstantin RUDN Univ Peoples Friendship Univ Russia Dept Probabil Theory & Cyber Secur Moscow 117198 Russia Russian Acad Sci Inst Informat Problems Fed Res Ctr Comp Sci & Control Moscow 119991 Russia RUDN Univ Peoples Friendship Univ Russia Moscow 117198 Russia

Rate adaptation is advantageous property allowing applications to match the rate offered by the network. These applications running over the millimeter wave (mmWave) 5G or future sub-terahertz (sub-THz) 6G systems, may experience unwarranted rate degradation as a result of outage events caused by blockages. In this letter, we study the impact of rate adaptation on user performance for applications automatically reestablishing sessions after outages. We formalize a base station service model capturing the essentials of mmWave/sub-THz propagation and service specifics. The critical findings are that the rate adaptive persistent applications' behavior allow to: (i) drastically improve session completion probability, (ii) decrease the session completion probability without rate degradation. The number of retrials required for successful session completion for a wide range of system parameters is below unity. We conclude that applications' persistence and rate adaptation are recommended for implementation in 5G/6G mmWave/sub-THz systems.

关键词： 5G 6G millimeter wave terahertz rate adaptation blockage outage intermittent connectivity

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Optimizing Cloudlet Architectures for Enhanced Mobile Cloud Computing performance

Optimizing Cloudlet Architectures for Enhanced Mobile Cloud ...

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control Instrumentation System conference (CISCON) - Guiding Tomorrow - Emerging Trends in control, Instrumentation, and systems Engineering

作者： Jaiswal, Ambika Thakare, V. M. Jaiswal, Amitesh Chaurasia, Suhashini Awadhesh Sharma, Bhisham SGB Amravati Univ Dept Comp Sc & Engn Amravati India SGB Amravati Dept Comp Sci & Engn Amravati India Ramdeobaba Univ Dept CSE Data Sci Nagpur Maharashtra India Ss Maniar Coll Comp & Management Dept Comp Sci Nagpur Maharashtra India Chitkara Univ Ctr Res Impact & Outcome Rajpura 140401 Punjab India

ISBN: (纸本)9798350375480;9798350375497

The rise of smartphones and mobile devices has enabled the growth of a variety of apps leading to a significant surge, in the need for online accessibility and availability, during the era of mobile computing. However, both mobile applications and cloud computing present advantages and disadvantages. Cloudlets bring cloud servers closer to mobile devices, mitigating many limitations associated with cloud servers for the mobile industry. Researchers have developed various cloudlet architectures, and this paper presents an analytical and performance-based review of these architectures, facilitating an understanding of cloudlets and identifying the optimal architecture among them. A potential remedy for the built-in constraints of mobile computing are notably battery life, speed of processors, and storage capacity. Mobile devices have the ability to transfer demanding processing and storage tasks to cloud servers through Mobile Cloud Computing (MCC) and subsequently retrieve the outcomes on their devices. This method lessons the amount of time and energy needed to finish such demanding jobs. Nevertheless, there might be significant transmission power consumption and excessive network latency when connecting mobile devices to the cloud. A novel approach is designed by merging the concepts from the MCC and Cloudlet design model.

关键词： Cloudlet design network performance multimedia apps mobile cloud computing and wireless communication

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Optimizing BLDC Motor control in Electric Vehicles Using Hysteresis Current controlled Boost Converters 16

Optimizing BLDC Motor Control in Electric Vehicles Using Hys...

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16th IEEE International conference on Computational Intelligence and Communication networks, CICN 2024

作者： Kumar, Sanatan Chaturvedi, Abhay Kumar, Abhimanyu Gupta, Chirag Technocrats Institute of Technology Department of Electrical & Electronics Engineering Bhopal India Technocrats Institutes of Technology Department of Electrical & Electronics Engineering Bhopal India Vedica Institute of Technology Department of Electrical & Electronics Engineering Bhopal India

ISBN: (纸本)9798331505264

In this paper an innovative approach to optimizing Brushless DC (BLDC) motor control in electric vehicles (EVs) through the application of hysteresis current controlled boost converters is presented. As the demand for efficient and high-performance electric vehicles increases, effective power management systems become crucial. The proposed method leverages hysteresis current control to maintain motor current within a specified range, ensuring rapid response to varying load conditions while minimizing current ripple. The boost converter steps up the battery voltage to the levels required for optimal motor operation, enhancing overall system efficiency. Experimental results demonstrate significant improvements in torque response, energy utilization, and thermal management compared to traditional control methods. This research highlights the potential of hysteresis current control in advancing BLDC motor performance, contributing to the development of more efficient and reliable electric vehicle systems. © 2024 IEEE.

关键词： Brushless DC motors

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RedTE: Mitigating Subsecond Traffic Bursts with Real-time and Distributed Traffic Engineering 24

RedTE: Mitigating Subsecond Traffic Bursts with Real-time an...

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ACM SIGCOMM conference

作者： Gui, Fei Wang, Songtao Li, Dan Chen, Li Gao, Kaihui Min, Congcong Wang, Yi Tsinghua Univ Beijing Peoples R China Zhongguancun Lab Beijing Peoples R China BNRist Beijing Peoples R China Guangdong Commun & Networks Inst Guangzhou Peoples R China Southern Univ Sci & Technol Inst Future Networks Shenzhen Peoples R China

ISBN: (纸本)9798400706141

Internet traffic bursts usually happen within a second, thus conventional burst mitigation methods ignore the potential of Traffic Engineering (TE). However, our experiments indicate that a TE system, with a sub-second control loop latency, can effectively alleviate burst-induced congestion. TE-based methods can leverage network-wide tunnel-level information to make globally informed decisions (e.g., balancing traffic bursts among multiple paths). Our insight in reducing control loop latency is to let each router make local TE decisions, but this introduces the key challenge of minimizing performance loss compared to centralized TE systems. In this paper, we present RedTE, a novel distributed TE system with a control loop latency of < 100ms , while achieving performance comparable to centralized TE systems. RedTE's innovation is the modeling of TE as a distributed cooperative multi-agent problem, and we design a novel multi-agent deep reinforcement learning algorithm to solve it, which enables each agent to make globally informed decisions solely based on local information. We implement real RedTE routers and deploy them on a WAN spanning six city datacenters. Evaluation reveals notable improvements compared to existing solutions: < 100ms of control loop latency, a 37.4% reduction in maximum link utilization, and a 78.9% reduction in average queue length.

关键词： Traffic Engineering network Optimization Machine Learning

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A Review On Data Driven control Techniques Within Industrial Heating Furnaces 33

A Review On Data Driven Control Techniques Within Industrial...

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33rd Southern African Universities Power Engineering conference, SAUPEC 2025

作者： Donkor, David N. Ogudo, Kingsley A. Rameshar, Vikash University of Johannesburg Department of Electrical Engineering Technology South Africa

ISBN: (纸本)9798331535162

This study presents a comprehensive review of recent advancements in data-driven control techniques applied to industrial heating furnaces. The investigation focuses on three prominent approaches: fuzzy-PID controllers, neural network controllers utilizing model reference control, and Genetic Algorithm (GA) techniques for PID parameter optimization. These data-driven methodologies demonstrated good performance metrics compared to conventional control strategies based on their results. This paper contributes to the field by synthesizing current knowledge, identifying research gaps, and proposing future directions that could lead to more efficient, robust, and widely applicable control solutions for diverse heating furnace systems in the heating industry. © 2025 IEEE.

关键词： Genetic algorithms

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performance Analysis of Crossbar in NOC Through Booksim Simulator 6th

Performance Analysis of Crossbar in NOC Through Booksim Simu...

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6th International conference on Intelligent Communication, control and Devices, ICICCD 2024

作者： Chaurasia, Anil Kumar Verma, Gaurav Khare, Vijay Jaypee Institute of Information Technology Noida India

ISBN: (纸本)9789819783281

The amalgamation of typical systems having networks in one device or chip is called NOC. network on Chip (NOC) is an emerging communication framework for multi-core processor architectures and FPGAs. It consists of various nodes and interconnected wires. The traffic is moved among the nodes. A node is also termed as router which consists of arbiter, crossbar, FIFO and virtual channel in an NOC network. Crossbar is one of the important components in router which is utilized for fast switching. Therefore, in this paper, a 10 * 10 crossbar for ‘fly’ topology has been analyzed through Booksim simulator. This Booksim simulator is virtual-channel-based NOC router simulator. Various performance parameters like injection rate, latency, throughput, total run time, and flit latency average are analyzed. At the Injection rate of (0.75), Throughput of (0.004), Total run time of (40.41) and Flit latency average of (12.60) are obtained. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： network-on-chip

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Exploring Protocol Diversity in In-Vehicle networks: Simulated Data Revelation

Exploring Protocol Diversity in In-Vehicle Networks: Simulat...

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2024 IEEE International conference on Vehicular Technology and Transportation systems, ICVTTS 2024

作者： Vanajakshi, J. Renuka, A. Adesh, N.D. Manipal Academy of Higher Education Manipal Institute of Technology Department of Computer Science and Engineering Karnataka Manipal India Manipal Academy of Higher Education Manipal Institute of Technology Department of Information and Communication Technology Karnataka Manipal India

ISBN: (纸本)9798350355512

Modern vehicles heavily rely on various Electronic control Units (ECUs) to ensure proper operation, safety and efficiency. In-Vehicle network (IVN) facilitates communication and the flow of information between ECUs. Commonly used IVN protocols include controller Area network (CAN), Local Interconnect network (LIN), FlexRay, Ethernet, Media Oriented System Transport (MOST), and CAN with flexible data transfer (CAN-FD). Understanding the effect of these protocols on data generation, transfer, and ECU behaviour is critical to improving communication and enhancing the safety and security features of automotive communication systems. This work focuses on using the Vector CANoe tool to simulate real-world scenarios and analyse the complexities of IVN protocols. The research aims to improve automotive communication systems by examining the performance of these protocols in virtual environments. The findings from this work offer valuable insights for enhancing in-vehicle communications through simulation and testing. © 2024 IEEE.

关键词： network security

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Robust Graph Neural network based on Graph Denoising 57

Robust Graph Neural Network based on Graph Denoising

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57th Asilomar conference on Signals, systems and Computers

作者： Tenorio, Victor M. Rey, Samuel Marques, Antonio G. King Juan Carlos Univ Dept Signal Theory & Commun Madrid Spain

ISBN: (纸本)9798350325744

Graph Neural networks (GNNs) have emerged as a notorious alternative to address learning problems dealing with non-Euclidean datasets. However, although most works assume that the graph is perfectly known, the observed topology is prone to errors stemming from observational noise, graph-learning limitations, or adversarial attacks. If ignored, these perturbations may drastically hinder the performance of GNNs. To address this limitation, this work proposes a robust implementation of GNNs that explicitly accounts for the presence of perturbations in the observed topology. For any task involving GNNs, our core idea is to i) solve an optimization problem not only over the learnable parameters of the GNN but also over the true graph, and ii) augment the fitting cost with a term accounting for discrepancies on the graph. Specifically, we consider a convolutional GNN based on graph filters and follow an alternating optimization approach to handle the (non-differentiable and constrained) optimization problem by combining gradient descent and projected proximal updates. The resulting algorithm is not limited to a particular type of graph and is amenable to incorporating prior information about the perturbations. Finally, we assess the performance of the proposed method through several numerical experiments.

关键词： Graph Neural networks Non-Euclidean Data Robust Graph Signal Processing Graph Perturbations

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Super-Twisting Sliding Mode control for a Formation of Fully-Actuated Multirotor Aerial Vehicles 16th

Super-Twisting Sliding Mode Control for a Formation of Fully...

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16th International conference on Dynamical systems - Theory and Applications (DSTA)

作者： Ricardo, Jorge Antonio, Jr. Santos, Davi Antonio Inst Tecnol Aeronaut Praca Mal Eduardo Gomes Sao Jose Dos Campos SP Brazil

ISBN: (纸本)9783031564987;9783031564963;9783031564956

The present paper is concerned with the robust attitude-position tracking control for a formation of heterogeneous fully actuated multirotor aerial vehicles equipped with fixed rotors and subject to matched model uncertainties and Lipschitz disturbances. Based on a geometrically consistent description of the control error in SE(3), a joint geometric attitude-position control law is designed using a super-twisting sliding mode approach. Trajectory commands for the formation are generated using a second-order polynomial S-curve model, which are designed in such a way that allow setting different time duration for the formation acquisition, position, and attitude commanded motions. The method is evaluated via numerical simulations using a formation of non-planar fully actuated hexacopters equipped with fixed rotors, showing to be effective and simple to implement and tune.

关键词： Formation control Multirotor aerial vehicle Super twisting sliding mode control Nonlinear dynamics

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