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arXiv 2025年

作者： Qi, Houyi Liwang, Minghui Wang, Xianbin Fu, Liqun Hong, Yiguang Li, Li Cheng, Zhipeng School of Informatics Xiamen University Fujian China Department of Control Science and Engineering Canada Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China Department of Electrical and Computer Engineering Western University ON Canada School of Future Science and Engineering Soochow University Jiangsu China

Designing proper incentives in mobile crowdsensing (MCS) networks represents a critical mechanism in engaging distributed mobile users (workers) to contribute heterogeneous data for diverse applications (tasks). We develop a novel stagewise trading framework to reach efficient and stable matching between tasks and workers, upon considering the diversity of tasks and the dynamism of MCS networks. This framework integrates futures and spot trading stages, where in the former, we propose futures trading-driven stable matching and pre-path-planning (FT-SMP3) for long-term task-worker assignment and pre-planning of workers’ paths based on historical statistics and risk analysis. While in the latter, we investigate spot trading-driven DQN path planning and onsite worker recruitment (ST-DP2WR) mechanism to enhance workers’ and tasks’ practical utilities by facilitating temporary worker recruitment. We prove that our proposed mechanisms support crucial properties such as stability, individual rationality, competitive equilibrium, and weak Pareto optimality theoretically. Also, comprehensive evaluations confirm the satisfaction of these properties in practical network settings, demonstrating our commendable performance in terms of service quality, running time, and decision-making overheads. Copyright © 2025, The Authors. All rights reserved.

关键词： Risk analysis

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Unknown-Input-Proportional-Differential Observer-Based Event-Triggered Intrusion-Tolerant control for Human-in-the-Loop Multi-Agent systems Against Unconstrained Actuator and Sensor FDIAs

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IEEE Transactions on Automation science and engineering 2025年 22卷 15701-15712页

作者： Bo-Qun Wang Xiang-Gui Guo Jian-Liang Wang Daniel Coutinho Ju H. Park School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China School of Astronautics Harbin Institute of Technology Harbin China Shunde Graduate School University of Science and Technology Beijing Foshan China Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Autonomous Intelligent Systems Department Hangzhou Innovation Institute of Beihang University Hangzhou China Department of Automation and Systems Universidade Federal de Santa Catarina Florianópolis Brazil Department of Electrical Engineering Yeungnam University Gyeongsan South Korea

This paper investigates an intrusion-tolerant control problem for human-in-the-loop multi-agent systems (HILMASs) subjected to external disturbances and unconstrained actuator and sensor false data injection attacks (FDIAs) under directed graph. It is critical to emphasize that once a hacker gets into the control loop of the HILMAS, he can do whatever damage he wants, which means that the attack signal should be free of any constraints. Two main unconstrained attacks, i.e., unbounded FDIAs and variable-frequency FDIAs, are hard to accurately estimate and defend against since the widely adopted constraints on the existing FDIAs such as the bounded or/and the bounded first-order derivative have been removed. To tackle this challenging obstacle, a novel unknown-input-proportional-differential observer (UIPDO) is developed to not only reconstruct the follower agents’ states as well as unconstrained actuator and sensor FDIAs simultaneously, but also avoid the decrease of estimation accuracy caused by measurement deviation. It should be noted that this measurement deviation may be extremely large as it is caused by unconstrained sensor FDIAs, which renders the traditional observer ineffective in providing reliable and accurate estimates of the system states and unconstrained actuator and sensor FDIAs. Then, a novel UIPDO-based intrusion-tolerant control strategy without requiring boundedness of the first-order derivatives of the FDIAs as in existing literature is proposed. Furthermore, an adaptive Zeno-free event-triggered mechanism (ETM) solely relying local state information is developed to reduce the communication burden. Finally, the numerical simulation is provided to verify the merits and effectiveness of the developed methodology. Note to Practitioners—In HILMASs, security is of paramount importance. However, these systems face increasing vulnerability to external disturbances and unconstrained FDIAs under directed graph. Unconstrained attacks, such as unbounded an

关键词： Actuators Observers Accuracy Multi-agent systems Human in the loop Event detection Automation Vectors Symmetric matrices Directed graphs

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First passage time properties of diffusion with a broad class of stochastic diffusion coefficients

arXiv

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arXiv 2025年

作者： Uchida, Go Miyoshi, Hiromi Washizu, Hitoshi Department of Mechanical Systems Engineering Tokyo Metropolitan University Tokyo1920397 Japan Graduate School of Information Science University of Hyogo Hyogo6500047 Japan

Diffusion in a heterogeneous environment or diffusion of a particle that shows conformational fluctuations can be described by Brownian motions with stochastic diffusion coefficients (DCs). In the present study, we investigate first passage time properties of diffusion with a broad class of stochastic DCs that are positive and non-zero. We show that for diffusion in one-dimensional semi-infinite domain with an absorbing boundary, the eventual absorption is certain. We also show that compared to diffusion whose DC is the ensemble average of a stochastic DC, in diffusion with the stochastic DC, there are particles that reach the absorbing boundary earlier. The approximate proportion of preceding particles is determined by the probability distribution of the time average of a stochastic DC for a given distance to the absorbing boundary. In addition, when particles begin to reach the absorbing boundary before the time change in a stochastic DC occurs, a stochastic DC with a larger supremum leads to an earlier arrival of particles at the absorbing boundary even if the ensemble averages of stochastic DCs are the same. For ergodic DCs, three more properties are revealed. The mean first passage time is infinite. In addition, if particles take a long time to reach the absorbing boundary, the exact proportion of preceding particles is almost zero and the first passage time distribution can be approximated by the Lévy-Smirnov distribution. We show that these three properties of diffusion with an ergodic DC result from the convergence of the time average of the DC to the ensemble average. For three-dimensional diffusion with a spherical absorbing boundary, we obtain essentially the same results, except that the eventual absorption is not certain. Our results suggest that fluctuations in a DC play an important role in diffusion-limited reactions triggered by single molecules in physics, chemistry, or biology. Copyright © 2025, The Authors. All rights reserved.

关键词： Stochastic systems

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Periodic-Enhanced Informer Model for Short-Term Wind Power Forecasting Using SCADA Data

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IEEE Transactions on Sustainable Energy 2025年

作者： Liu, Zhao-Hua Li, Long-Wei Wei, Hua-Liang Li, Ming Lv, Ming-Yang Zhang, Ying-Jie Hunan University of Science and Technology School of Information and Electrical Engineering Xiangtan411201 China University of Sheffield Department of Automatic Control and Systems Engineering SheffieldS1 3JD United Kingdom Hunan University College of Computer Science and Electronic Engineering Changsha410082 China

Supervisory control and Data Acquisition (SCADA) systems can collect abundant information about wind farm operation and environment. To better make use of SCADA data, a periodic-enhanced informer model for short-term wind power forecasting using scada data is proposed. Firstly, to effectively filter out noise in SCADA data, a v-p curve-based method is adopted by incorporating a quartile approach to remove sparse outliers;a density-based spatial clustering of applications with noise (DBSCAN) algorithm is then employed to eliminate stacked outliers from the power curve. Secondly, a multi-feature input set selection method based on Maximization Information Coefficient is introduced to make better use of the SCADA system data by reducing the number of features. Thirdly, a Temporal Convolutional Network (TCN) is designed to extract the scalar projection of the input set, followed by fusing the local time stamp and global time stamp to build the periodic information enhanced prediction model embedding layer. Subsequently, the enhanced input set is fed into an informer model to predict future wind power. Finally, considering the multiple temporal scales structure characteristics present in the dataset, a multi-scale deep fusion module is established in the informer model to deeply integrate the features of different scales. It can simultaneously avoid the resource waste and overfitting problems caused by increasing the network depth. The experimental results, which are obtained from several deep learning methods on real SCADA data, demonstrate that the suggested approach has good predictive capability. © 2010-2012 IEEE.

关键词： Wind forecasting

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Observation of transverse Thomson effect

arXiv

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arXiv 2025年

作者： Takahagi, Atsushi Hirai, Takamasa Alasli, Abdulkareem Park, Sang Jun Nagano, Hosei Uchida, Ken-Ichi Department of Mechanical Systems Engineering Nagoya University Nagoya464-8601 Japan National Institute for Materials Science Tsukuba305-0047 Japan Department of Advanced Materials Science Graduate School of Frontier Sciences The University of Tokyo Kashiwa277-8561 Japan

The thermoelectric Thomson effect, predicted in the 1850s by William Thomson, produces volumetric heating/cooling in a conductor due to the concerted action of the Seebeck and Peltier effects. Recently, transverse thermoelectrics studies on the Nernst and Ettingshausen effects have progressed rapidly to enable versatile thermal management technologies and to explore topological transport properties. However, a transverse Thomson effect, arising from the concerted action of the Nernst and Ettingshausen effects, has not yet been observed. Here, we report the observation of the transverse Thomson effect in a conductor. We observed volumetric heating/cooling in a semimetallic Bi88Sb12 alloy induced by a charge current, temperature gradient, and magnetic field applied orthogonally to each other using thermoelectric imaging techniques. We found that the heating/cooling can be switched by the field direction. Our experiments and analyses reveal the essential difference between the conventional and transverse Thomson effects;the former depends sorely on the temperature derivative of the Seebeck coefficient, while the latter depends not only on the temperature derivative of the Nernst coefficient but also on its magnitude. The observation of the transverse Thomson effect fills a missing piece in the history of thermoelectrics and provides a new principle for active thermal management technologies. Copyright © 2025, The Authors. All rights reserved.

关键词： Seebeck coefficient

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Efficient Coordination and Synchronization of Multi-Robot systems Under Recurring Linear Temporal Logic

arXiv

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arXiv 2025年

作者： Peron, Davide Fernandez-Ayala, Victor Nan Vlahakis, Eleftherios E. Dimarogonas, Dimos V. Department of Information Engineering University of Padova Padova35122 Italy Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden

We consider multi-robot systems under recurring tasks formalized as linear temporal logic (LTL) specifications. To solve the planning problem efficiently, we propose a bottom-up approach combining offline plan synthesis with online coordination, dynamically adjusting plans via real-time communication. To address action delays, we introduce a synchronization mechanism ensuring coordinated task execution, leading to a multi-agent coordination and synchronization framework that is adaptable to a wide range of multi-robot applications. The software package is developed in Python and ROS2 for broad deployment. We validate our findings through lab experiments involving nine robots showing enhanced adaptability compared to previous methods. Additionally, we conduct simulations with up to ninety agents to demonstrate the reduced computational complexity and the scalability features of our work. © 2025, CC BY.

关键词： Multipurpose robots

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A Study on the Effectiveness of Interactive systems Using Electromyography

A Study on the Effectiveness of Interactive Systems Using El...

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IEEE/SICE International Symposium on System Integration

作者： Shinnosuke Hanawa Yihsin Ho Iciro Kobayashi Eri Sato-Shimokawara Hiroki Shibata Takenori Obo Graduate School of Engineering Takushoku University Tokyo Japan Faculty of Engineering Takushoku University Tokyo Japan Department of Computer Science Tokyo Metropolitan University Tokyo Japan Department of Mechanical Systems Engineering Tokyo Metropolitan University Tokyo Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

The paper presented an intuitive control system using electromyography (EMG) data that is obtained from the Myo gesture control armband. The aim of this study is to enable users to control multiple devices with a single EMG device in an intuitive way. The presented system shows the ability of EMG-based gestures to control Phillips Hue that allow user to control light bulb by simple hand movements. Moreover, the authors also developed new functionalities, which is according to users’ preferences, to register gestures. These functions aim to improve the usability and enhance the naturalness of operations. Additionally, unique gestures, which less common in everyday life, is defined to reduce misrecognition when switching between different devices. Furthermore, to achieve reliable and accurate recognition of multiple gestures, the Support Vector Machine (SVM) models is considered to be a machine learning method for training processed EMG data. The experiment results demonstrate significant improvements in user experience and practical applicability in various interactive scenarios.

关键词： Support vector machines Training Interactive systems Switches Machine learning System integration Electromyography User experience Robustness Usability

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Rotational Grüneisen ratio: A probe for quantum criticality in anisotropic systems

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Physical Review B 2025年第4期111卷 045123-045123页

作者： Shohei Yuasa Yohei Kono Yuta Ozaki Minoru Yamashita Yasuyuki Shimura Toshiro Takabatake Shunichiro Kittaka Department of Physics Faculty of Science and Engineering Chuo University Bunkyo Tokyo 112-8551 Japan The Institute for Solid State Physics The University of Tokyo Kashiwa Chiba 277-8581 Japan Department of Quantum Matter Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima 739-8530 Japan Department of Basic Science The University of Tokyo Meguro Tokyo 153-8902 Japan

The Grüneisen ratio Γ and its magnetic analog, the magnetic Grüneisen ratio ΓH, are powerful probes to study the nature of quantum phase transitions. Here, we propose a Grüneisen parameter, the rotational Grüneisen ratio Γϕ, by introducing the orientation of the external field as a control parameter. We investigate Γϕ of the highly anisotropic paramagnets CeRhSn and CeIrSn by measuring the rotational magnetocaloric effect in a wide range of temperatures and magnetic fields. We find that the Γϕ data of both compounds are scaled by using the same critical exponents and the field-invariant critical field angle. Remarkably, the scaling function for the Γϕ data reveals the presence of highly anisotropic quantum criticality that develops as a function of the easy-axis component of the magnetic field from the quantum critical line. This paper provides a thermodynamic approach to detect and identify magnetic quantum criticality in highly anisotropic systems.

关键词： Magnetocaloric effects

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Combining Instance Segmentation and Background Subtraction Models for Small Object Detection

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International Journal of Automation Technology 2025年第3期19卷 237-247页

作者： Dhammatorn, Wisan Ito, Seiya Kaneko, Naoshi Sumi, Kazuhiko Graduate School of Science and Engineering Aoyama Gakuin University 5-10-1 Fuchinobe Chuo-ku Kanagawa Sagamihara252-5258 Japan Tokyo Japan Department of Information Systems and Multimedia Design School of Science and Technology for Future Life Tokyo Denki University Tokyo Japan Department of Integrated Information Technology College of Science and Engineering Aoyama Gakuin University Sagamihara Japan

Object detection is a fundamental problem in computer vision that has been extensively investigated over the past decades. Although deep neural networks (DNNs) improve object detection, they cannot effectively rec-ognize small objects. Detecting small objects remains challenging owing to several factors, such as low res-olution and scale variance. These challenges are par-ticularly evident in object detection using surveillance cameras, where small objects typically appear in clut-tered environments and at varying distances. In object detection using surveillance cameras, the static nature of the background has not been fully exploited in DNN-based object detection methods, although it can be an important cue for detection. In this study, we propose a simple yet effective method to enhance object detection in areas of small objects not detectable by state-of-the-art DNN-based instance segmentation methods. The proposed method extracts foreground regions using a background subtraction model and classifies them, thereby enabling the identification of small objects. In our experiments, we evaluate two real-world scenarios: detecting a person walking on campus and identifying vehicles in road-surveillance footage. The results show that our method improves the detection of small objects and performs better than baseline methods. © Fuji Technology Press Ltd.

关键词： Vehicle detection

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Relational analysis of route searches and transportation IC card use

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Transportation Research Procedia 2025年 82卷 957-970页

作者： Mio Hosoe Masashi Kuwano Taku Moriyama Department of Management of Social Systems and Civil Engineering Graduate School of Engineering Tottori University 4-101 Koyama-Minami Tottori 680-8552 Japan Department of Data Science Yokohama City University 22-2 Seto Kanazawa Ward Yokohama Kanagawa 236-0027 Japan

Route search data are saved in public transportation route search systems. These data record the potential travel plans of searchers and are expected to serve as a reliable source of information to predict travel demand. However, route search data merely represent latent demand and their relationship with actual traffic demand is not known. The purpose of this study was to identify the relationship between the number of route searches and the number of actual public transportation users to predict traffic demand using route search data. To achieve this, both route search data and transportation IC card data were analyzed for the Kotoden lines that operate in Kagawa Prefecture, Japan. By adopting an approach that combined bivariate state-space and weighted regression models, we extracted the varying hidden relationships between the two seemingly unrelated data types and modeled the behaviorally related parts. The results revealed a positive correlation between sudden surges in the number of route searches and transportation IC card use.

关键词： route search system transportation IC card bivariate state-space model weighted regression model

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