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15th International Conference on Human computer Interaction, INTERACCION 2014

作者： Ponsa, Pere Urbina, Carlos Manresa-Yee, Cristina Vilanova, Ramon Automatic Control Department Universitat Politècnica Catalunya Av. Víctor Balaguer 1 Vilanova i la Geltrú08800 Spain Computer Graphics Computer Vision and AI Group University of Balearic Islands Crta. Valldemossa km 7.5 Palma07122 Spain Engineering Systems and Telecommunications Department School of Engineering Universitat Autònoma Barcelona Bellaterra08193 Spain

ISBN: (纸本)9781450328807

Gestural interaction uses human gestures to interact with an interactive system. Many efforts have been done to define gestures and facilitate a comfortable and natural way to interact. In this paper an experimental session in laboratory conditions is presented aiming at analyzing the usability factors of a visionbased gestural interface. Based on the results, recommendations are given to modify the configuration of some parameters between the human, the Kinect sensor, Kinect Mouse and the virtual visit of a museum with the final aim to improve the overall interaction. Copyright 2014 ACM.

关键词： gestures usability Vision-based interfaces evaluation

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Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications

arXiv

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arXiv 2024年

作者： Engelaar, Maico H.W. Zhang, Zengjie Vlahakis, Eleftherios E. Dimarogonas, Dimos V. Lazar, Mircea Haesaert, Sofie Department of Electrical Engineering Control Systems Group Eindhoven University of Technology Netherlands Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden

This paper addresses the control synthesis of heterogeneous stochastic linear multi-agent systems with real-time allocation of signal temporal logic (STL) specifications. Based on previous work, we decompose specifications into sub-specifications on the individual agent level. To leverage the efficiency of task allocation, a heuristic filter evaluates potential task allocation based on STL robustness, and subsequently, an auctioning algorithm determines the definitive allocation of specifications. Finally, a control strategy is synthesized for each agent-specification pair using tube-based model predictive control (MPC), ensuring provable probabilistic satisfaction. We demonstrate the efficacy of the proposed methods using a multi-shuttle scenario that highlights a promising extension to automated driving applications like vehicle routing. © 2024, CC BY-NC-ND.

关键词： Stochastic systems

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A comprehensive survey for Hyperspectral Image Classification: The evolution from conventional to transformers and Mamba models

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Neurocomputing 2025年 644卷

作者： Muhammad Ahmad Salvatore Distefano Adil Mehmood Khan Manuel Mazzara Chenyu Li Hao Li Jagannath Aryal Yao Ding Gemine Vivone Danfeng Hong SDAIA-KFUPM Joint Research Center for Artificial Intelligence (JRCAI) King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Dipartimento di Matematica e Informatica-MIFT University of Messina 98121 Messina Italy School of Computer Science University of Hull Hull HU6 7RX UK Institute of Software Development and Engineering Innopolis University 420500 Innopolis Russia School of Mathematics Southeast University Nanjing 211189 China Department of Geography National University of Singapore 117568 Singapore Department of Infrastructure Engineering University of Melbourne Parkville VIC Australia Intelligent Control Laboratory PLA Rocket Force University of Engineering 710025 Xi’an China Institute of Methodologies for Environmental Analysis National Research Council 85050 Tito Italy Aerospace Information Research Institute Chinese Academy of Sciences Beijing 100094 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences 100049 Beijing China

Hyperspectral Image Classification (HSIC) presents significant challenges owing to the high dimensionality and intricate nature of Hyperspectral data. While traditional Machine Learning (TML) approaches have demonstrated effectiveness, they often encounter substantial obstacles in real-world applications, including the variability of optimal feature sets, subjectivity in human-driven design, inherent biases, and methodological limitations. Specifically, TML suffers from the curse of dimensionality, difficulties in feature selection and extraction, insufficient consideration of spatial information, limited robustness against noise, scalability issues, and inadequate adaptability to complex data distributions. In recent years, Deep Learning (DL) techniques have emerged as robust solutions to address these challenges. This survey offers a comprehensive overview of current trends and future prospects in HSIC, emphasizing advancements from DL models to the increasing adoption of Transformer and Mamba Model architectures. We systematically review key concepts, methodologies, and state-of-the-art approaches in DL for HSIC. Furthermore, we investigate the potential of Transformer-based models and the Mamba Model in HSIC, detailing their advantages and challenges. Emerging trends in HSIC are explored, including in-depth discussions on Explainable AI and interpretability concepts, alongside Diffusion Models for denoising, feature extraction, and fusion. Comprehensive experimental results were conducted on three Hyperspectral datasets to substantiate the efficacy of various conventional DL models. Additionally, we identify several open challenges and pertinent research questions in the field of HSIC. Finally, we outline future research directions and potential applications aimed at enhancing the accuracy and efficiency of HSIC. The Source code is available at https://***/mahmad000/HSIC-2024 .

关键词： Convolutional neural networks

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Synchronization of Probabilistic Boolean Networks under State-Flipped control

Synchronization of Probabilistic Boolean Networks under Stat...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Chenyang Bian Leihao Du Zhipeng Zhang School of Control Science and Engineering Tiangong University Tianjin China School of Computer Science and Engineering Tianjin University of Technology Tianjin China School of Artificial Intelligence Tiangong University Tianjin China

ISBN: (数字)9798350379228

ISBN: (纸本)9798350390780

This paper investigates the synchronization problem of probabilistic boolean networks (PBNs) under state-flipped control. First, by flipping some of the nodes, the entire state space is transferred to a synchronous state set. Some verification conditions for the synchronization of PBNs are proposed. Second, a Q-Learning (QL) algorithm for synchronizing PBNs in finite flip control is given, and the minimum flip set is obtained. Finally, numerical simulations are performed to verify the feasibility of the conclusions.

关键词： Q-learning Automation Aerospace electronics Probabilistic logic Numerical simulation Synchronization

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Model predictive control for large-scale urban traffic networks with a multi-level hierarchy

Model predictive control for large-scale urban traffic netwo...

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International Conference on Intelligent Transportation

作者： Shu Lin Taiyu Ling Yugeng Xi School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China Department of Automation Key Laboratory of System Control and Information Processing Shanghai China

ISBN: (纸本)9781479929153

The control and management problem for large-scale complex urban traffic network is not yet successfully addressed. There are still many difficulties in controlling such large systems, e.g. complexity, high dimension, multiple control objectives, and uncertainties. In the paper, a multi-level MPC hierarchy is proposed to address these difficulties for the control of large-scale urban traffic networks. Under the control hierarchy, a multi-level MPC algorithm is proposed, which includes three levels, the demand balance MPC, the subnetwork MPC, and the intersection controller from top to bottom. A case study is carried out to evaluate the proposed algorithm. The simulation results illustrate the effectiveness of the multi-level controller.

关键词： Vehicles Optimization Roads Mathematical model Algorithm design and analysis Timing Analytical models

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Research on Network Traffic Anomaly Detection of Source-Network-Load Industrial control System Based on GRU-OCSVM 3

Research on Network Traffic Anomaly Detection of Source-Netw...

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3rd International Symposium on Resource Exploration and Environmental Science, REES 2019

作者： Huo, Xuesong Wu, Kehe Miao, Weiwei Wang, Liming He, Hui Su, Dawei State Grid Jiangsu Electric Power Co. Ltd. Power Dispatching Control Center Nanjing210000 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China Information and Communication Branch of State Grid Jiangsu Electric Power Co. Ltd. Nanjing210019 China

With the large number of distributed generators and diverse loads connected to industrial control systems, there are more and more interactions among power supply, power grid and load. Any network link attack in the source network will affect the security of the industrial control system, resulting in economic loss of the industrial control system. Therefore, it is very important to study the network attacks against the source-network-load industrial control system. Aiming at the current insufficient situation of network traffic anomaly detection in the source-network-load industrial control system, this paper analysed the composition and flow characteristics of the source-network-load system, studied the scheme of network traffic anomaly detection of the source-network-load system, and proposed a network traffic anomaly detection algorithm based on GRU-OCSVM. The time characteristics of the traffic sequence were extracted by the GRU and input into OCSVM for traffic anomaly detection. Finally, the original network traffic of the source-network-load system was collected to construct anomaly detection data set for simulation experiment. The experimental results showed that the proposed method had high detection rate and low false positive rate, which can meet the needs of network traffic anomaly detection in the source-network-load system. © Published under licence by IOP Publishing Ltd.

关键词： Anomaly detection

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Robust Length of Stay Prediction Model for Indoor Patients

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computers, Materials & Continua 2022年第3期70卷 5519-5536页

作者： Ayesha Siddiqa Syed Abbas Zilqurnain Naqvi Muhammad Ahsan Allah Ditta Hani Alquhayz M.A.Khan Muhammad Adnan Khan Department of Mechatronics and Control Engineering University of Engineering and TechnologyLahore54000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea

Due to unforeseen climate change,complicated chronic diseases,and mutation of viruses’hospital administration’s top challenge is to know about the Length of stay(LOS)of different diseased patients in the *** management does not exactly know when the existing patient leaves the hospital;this information could be crucial for hospital *** could allow them to take more patients for *** a result,hospitals face many problems managing available resources and new patients in getting entries for their prompt ***,a robust model needs to be designed to help hospital administration predict patients’LOS to resolve these *** this purpose,a very large-sized data(more than 2.3 million patients’data)related to New-York Hospitals patients and containing information about a wide range of diseases including Bone-Marrow,Tuberculosis,Intestinal Transplant,Mental illness,Leukaemia,Spinal cord injury,Trauma,Rehabilitation,Kidney and Alcoholic Patients,HIV Patients,Malignant Breast disorder,Asthma,Respiratory distress syndrome,*** been analyzed to predict the *** selected six Machine learning(ML)models named:Multiple linear regression(MLR),Lasso regression(LR),Ridge regression(RR),Decision tree regression(DTR),Extreme gradient boosting regression(XGBR),and Random Forest regression(RFR).The selected models’predictive performance was checked using R square andMean square error(MSE)as the performance evaluation *** results revealed the superior predictive performance of the RFRmodel,both in terms of RS score(92%)and MSE score(5),among all selected *** Exploratory data analysis(EDA),we conclude that maximumstay was between 0 to 5 days with the meantime of each patient 5.3 days and more than 50 years old patients spent more days in the *** on the average LOS,results revealed that the patients with diagnoses related to birth complications spent more days in the hospital than other *** finding coul

关键词： Length of stay machine learning robust model random forest regression

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On the LQ-based optimization techniques for impulsive hybrid control systems

On the LQ-based optimization techniques for impulsive hybrid...

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作者： Azhmyakov, V. Galván-Guerra, R. Egerstedt, M. Departamento de Control Automatico CINVESTAV Av. Instituto Politecnico Nacional No. 2508 C.P. 07360 Mexico D.F. Mexico Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta GA United States

ISBN: (纸本)9781424474264

This paper deals with a quadratic optimization problem for linear impulsive hybrid systems. We study a class of LQ-type impulsive hybrid optimal control problems (OCPs) and consider the application of the hybrid Maximum Principle (MP). Our aim is to investigate the natural relationship between the Pontryagin-type MP and the Bellman Dynamic Programming (DP) approach. As next we develop the "hybrid" Riccati formalism and discuss some related computational aspects. © 2010 AACC.

关键词： Dynamic programming

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Towards Model-based Continuous-time Identification of the Human Balance controller

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IFAC Proceedings Volumes 2008年第2期41卷 11612-11617页

作者： Peter J Gawthrop Liuping Wang Centre for Systems and Control and Department of Mechanical Engineering University of Glasgow GLASGOW. G12 8QQ Scotland Discipline of Electrical Energy and Control Systems School of Electrical and Computer Engineering RMIT University Melbourne Victoria 3000 Australia

There are a number of competing scientific hypotheses about the structure and parameters of the human control system concerned with balance. System identification techniques have potential to distinguish between such competing hypotheses. As a step towards this goal, the data from an initial series of experiments involving balancing an inverted pendulum by a human via a joystick was analysed using a recently-developed two-stage continuous-time identification method.

关键词： Identification an validation Model formulation, experiment design Kinetic modelling and control of biological systems

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Distributed continuous-time strategy-updating rules for noncooperative games with discrete-time communication

arXiv

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arXiv 2021年

作者： Cai, Xin Xiao, Feng Wei, Bo Fang, Fang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources The School of Control and Computer Engineering North China Electric Power University Beijing102206 China School of Electrical Engineering Xinjiang University Urumqi830047 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

In this paper, continuous-time noncooperative games in networks of double-integrator agents are explored. The existing methods require that agents communicate with their neighbors in real time. In this paper, we propose two discrete-time communication schemes based on the designed continuous-time strategy-updating rule for the efficient use of communication resources. First, the property of the designed continuous-time rule is analyzed to ensure that all agents’ strategies can converge to the Nash equilibrium. Then, we propose periodic and event-triggered communication schemes for the implementation of the designed rule with discrete-time communication. The rule in the periodic case is implemented synchronously and easily. The rule in the event-triggered case is executed asynchronously without Zeno behaviors. All agents in both cases can asymptotically reach to the Nash equilibrium by interacting with neighbors at discrete times. Simulations are performed in networks of Cournot competition to illustrate the effectiveness of the proposed *** Codes 91A10, 93A14, 93A16, 93D50 Copyright © 2021, The Authors. All rights reserved.

关键词： Game theory

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