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2024 International Conference on Telecommunications and Intelligent Systems, ICTIS 2024

作者： Tibermacine, Ahmed Akrour, Djouher Khamar, Rofeida Tibermacine, Imad Eddine Rabehi, Abdelaziz University of Biskra Department of Computer Science Biskra Algeria Sapienza University of Rome Department of Computer Automation and Management Engineering Rome Italy Zian Achour University of Djelfa Laboratory of Telecommunications and Smart Systems Faculty of Sciences and Technology Djelfa17000 Algeria

ISBN: (纸本)9798331527396

This study aims to classify brainwave patterns using electroencephalogram (EEG) signals in response to various auditory stimuli, specifically Quran recitation, participants' favorite music, and Interstellar's main theme. By analyzing the unique EEG responses elicited by these stimuli, the study explores cognitive and emotional processing differences. Two prominent classifiers, Support Vector Machine (SVM) and Convolutional Neural Networks (CNN), were utilized. SVM, combined with Power Spectral Density (PSD) features, achieved the highest accuracy of 95% when distinguishing Quran recitation from rest. CNN, particularly with Kernel Density Estimation (KDE) features, exhibited strong performance in distinguishing between different auditory stimuli, with an average accuracy exceeding 90%. These results highlight the critical role of feature extraction techniques, such as PSD and KDE, in improving classification performance and deepening our understanding of EEG-based emotional and cognitive responses to auditory stimuli. © 2024 IEEE.

关键词： Convolutional neural networks

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Optimal Linear Deception Attacks on Remote State Estimation with Constrained Alarm Rates: A Low-Dimensional Case 63

Optimal Linear Deception Attacks on Remote State Estimation ...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Shang, Jun Zhang, Hanwen Zhou, Jing Chen, Tongwen Tongji University Shanghai Research Institute for Intelligent Autonomous Systems National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Department of Control Science and Engineering Shanghai200092 China University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering Beijing100083 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 1H9 Canada

ISBN: (纸本)9798350316339

This study addresses linear attacks on remote state estimation within the context of a constrained alarm rate. Smart sensors, which are equipped with local Kalman filters, transmit innovations instead of raw measurements through a wireless communication network. This transmission is vulnerable to malicious data interception and manipulation by attackers. The aim of this research is to identify the optimal attack strategy that degrades the system performance while adhering to stealthiness constraints. A notable innovation of this paper is the direct association of the attack's stealthiness with the alarm rate, diverging from traditional approaches that rely on the covariance of the innovation or the Kullback-Leibler divergence, which are conventional metrics that have been extensively explored in previous studies. Our findings reveal that the optimal attack strategy exhibits some structural characteristics in systems of low dimensions. The performance of the proposed attack strategy is demonstrated through numerical examples. © 2024 IEEE.

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On the Convergence of Policy Gradient for Designing a Linear Quadratic Regulator by Leveraging a Proxy System 63

On the Convergence of Policy Gradient for Designing a Linear...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Ye, Lintao Mitra, Aritra Gupta, Vijay Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China North Carolina State University Department of Electrical and Computer Engineering RaleighNC27695 United States Purdue University Elmore Family School of Electrical and Computer Engineering West LafayetteIN47906 United States

ISBN: (纸本)9798350316339

Policy gradient algorithms have been shown to converge to the optimal controller in a linear quadratic regulator (LQR) design problem. Calculating policy gradients using the true system such as for a robot may, however, be costly. We consider a formulation in which an ample number of gradient calculations from a proxy or approximate system such as a simulator are mixed with gradient calculations from the true system at a few time steps. Under the simplifying assumption of exact gradient calculation, we show that policy gradient in this framework can still converge to a neighborhood of the desired optimal controller. In this sense, it can reduce both the burden and cost of experimenting only on the true system and potentially obtain a less conservative controller than a purely robust control approach that relies only on the proxy system for designing the controller. © 2024 IEEE.

关键词： Robust control

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Automatic Recognition of Whale and Dolphin Whistles Based on Visual Feature Extraction Approach 2

Automatic Recognition of Whale and Dolphin Whistles Based on...

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2nd IEEE International Conference on Power, Electronics and computer Applications, ICPECA 2022

作者： Wu, Wei Feng, Huibin Junejo, Naveed Ur Rehman Qiu, Yuquan Yan, Jiaquan College of Computer and Control Engineering Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou China University of Lahore Department of Computer Engineering Lahore Pakistan

ISBN: (纸本)9781665442763

Automatic recognition of marine mammals plays a significant role in the protection of endangered marine species, generally utilizing their vocalizations. In this paper, we propose a novel visual feature extraction approach for whale and dolphin signals incorporating variational mode decomposition (VMD) and Hilbert transform (VMD-HT) to construct the high-resolution time-frequency signatures and using gray level co-occurrence matrix (GLCM) to extort image features. Firstly, the objected signals are decomposed by VMD algorithm into multiple intrinsic mode functions (IMFs), which can capture local frequency features precisely. Secondly, the time-frequency signature of the objected signal with high resolution is constructed by linear superposition operation of each IMF time-frequency image depicted through Hilbert transform (HT). Thirdly, the image features are extracted using GLCM. Eventually, support vector machine (SVM) is adopted to validate the classification performance of the proposed method. The experimental results verify that the resolution improvement of time-frequency image attains the correct recognition rate and the proposed method accuracy is higher than the compared method about 11.11% © 2022 IEEE.

关键词： Variational mode decomposition

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Designing a Secure Smart Remote Patient Monitoring and Warning System using Big Data and Internet of Things Ecosystems 10

Designing a Secure Smart Remote Patient Monitoring and Warni...

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17th INDIACom;2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Ramesh, S.P. Abdulwahid, Ali Hadi Anjum, Afsana Venkatesh, N. Singh, Rajesh Chakravarthi, M. Kalyan Amet University Department of Computer Science and Engineering Tamil Nadu Kanathur India Southern Technical University Engineering Technical College Department of Control and Automation Basra Iraq Jazan University Department of Information Technology and Security Jazan Saudi Arabia School of Computer Science and Artificial Intelligence Sr University Telangana Warangal India Uttaranchal Institute of Technology Uttaranchal University India School of Electronics Engineering VIT-AP University Amaravathi India

ISBN: (纸本)9789380544472

The demand on healthcare is growing as a result of the expanding global population, rising demands for successful treatment, and an underlying improvement in life quality. Consequently, healthcare remains one of the most significant social and economic problems in the world, necessitating the development of new and more sophisticated scientific and technological treatments.E-health services are provided via personalised healthcare systems to meet the medical and support needs of the ageing population. An important development in the Big Data age is the Internet of Things, which facilitates several real-time engineering solutions through improved services. Healthcare systems are now using analytics over IoT data streams as a stream of user data to find new information, forecast rapid recognition, and make decisions on life-threatening situations. In this study, researchers have carried out a thorough review of the hottest recent revolutionary technologies in bespoke healthcare systems, with a focus on hypervisor, cloud infrastructure, big data analytic, the Web of Things, and smartphone apps. In order to make early disease detection and diagnosis possible, it is important to develop a better healthcare system. We have examined these problems and suggested potential solutions while offering secure e-health services. The purpose of this study is to design a smart and secure remote monitoring and warning system using the latest emerging technologies in 21stcentury such as big data analytics and Internet of Things (IoT) ecosystems. In this study the researchers discussed a detailed research methodology to meet the outcomes of the reerach. All the relevant findings and analysis are explained in descriptive manner. Moreover, this study highlights the constantly expanding requirements for better medical systems in the present and offers potential directions for future research. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Internet of things

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Design and control of a Magnetic-Wheeled Climbing Robot for Vertical Steel Surfaces: Motor Positioning Performance Through Model Reference Adaptive control

Design and Control of a Magnetic-Wheeled Climbing Robot for ...

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International Carpathian control Conference (ICCC)

作者： Claudia Fernanda Yaşar Buse Tacal Ucun Levent Ucun Department of Control and Automation Engineering Yildiz Technical University Istanbul Türkiye

ISBN: (数字)9798350350708

ISBN: (纸本)9798350350715

Climbing robots capable of performing activities on vertical steel walls are frequently utilized in the maintenance of high-rise structures and unsafe situations for human workers, including bridges, ships, liquid tanks, chimneys, pipelines, nuclear facilities, and wind turbines. A climbing robot outfitted with the necessary equipment performs activities such as monitoring, cleaning, search and rescue, and more. The fundamental aim is to design a sturdy and safe robotic system with an adhesion-to-the-wall approach that can move on the surface while carrying the essential sensing system, actuation, and drive system as power cables or suppliers. The principal restrictions are the large forces that appear in the system and directly affect the motors. This paper presents a climbing robot design with magnetic wheels powered by a direct current motor; a simplified model with experimental parameter identification is utilized, and a model incorporating all forces is used to develop and test a model reference adaptive controller. Coulomb friction, magnetic forces that hold the system to the wall, and the gravity force are defined as the parts of the overall disturbance. A well-designed motion controller must be accurate enough to drive the robot's trajectory while also being robust enough to withstand overall disturbances. It must also take into account the limited control signal and saturation related with the servomotors. MATLAB/Simulink is used to identify experimental parameters and simulate various control scenarios.

关键词： Adaptation models Parameter estimation Wheels Climbing robots Robot sensing systems Mathematical models Steel

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Event-Triggered Cooperative Adaptive Cruise control of Vehicular Platoons 63

Event-Triggered Cooperative Adaptive Cruise Control of Vehic...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhao, Fuyu Gao, Weinan Liu, Tengfei Jiang, Zhong-Ping Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Liaoning Shenyang110819 China New York University Tandon School of Engineering Department of Electrical and Computer Engineering BrooklynNY11201 United States

ISBN: (纸本)9798350316339

This paper presents a novel policy iteration (PI) based event-triggered cooperative adaptive cruise control (CACC) approach for vehicular platoons, which are composed of autonomous vehicles. An observer is established to observe the signal of leading vehicle. To reduce computation and communication resources, event-triggered based adaptive optimal controllers are designed by using the PI algorithm without relying on the knowledge of system dynamics. Sufficient conditions are introduced to achieve the leader-to-formation stability (LFS) of the vehicular platoons. Simulation results are presented to verify the effectiveness of the proposed design. © 2024 IEEE.

关键词： Adaptive cruise control

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Effect of Solar Cell Interconnections on the Output of Solar UAV with 3D Curved Photovoltaics 2

Effect of Solar Cell Interconnections on the Output of Solar...

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2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Jia, Wei Zhang, Xiaobin Lei, Tao Yu, Haoliang Yao, Wenli Qu, Yan School of Automation Northwestern Polytechnical University Xi'an China Suzhou Tongyuan Software and Control Technology Co. Ltd Knowledge Engineering Department Suzhou China

ISBN: (纸本)9798350313765

The solar-powered unmanned aerial vehicle (SUAV) utilizes a Curved Photovoltaic Array (CPVA) mounted on its wing surface to harness solar energy during daylight hours, storing any excess energy in the battery for nocturnal use. However, the irregularity of the wing surface pose challenges for accurately modeling the SUAV's photovoltaic energy yield and calculating the output of photovoltaic power. To maximize the photovoltaic output of the solar UAV, it is crucial to design a CPVA interconnection tailored to a specific airfoil and optimize the hardware to minimize the impact of the wing's curvature on photovoltaic performance. This paper presents a CPVA model and conducts an analysis of the Maximum Power Point Tracking (MPPT) output for different photovoltaic configurations, demonstrating more efficient configurations that yield higher outputs. The results show that the proposed Near Layout (NL) configuration achieves a significant increase of 6%10% in all-day energy for solar aircraft operating in mid-latitude regions compared to the conventional configuration of the ideal planar wing model. © 2023 IEEE.

关键词： curved PV MPPT photovoltaic array configuration photovoltaic modeling solar UAV

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RANSACs for 3D Rigid Registration:A Comparative Evaluation

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1861-1878页

作者： Jiaqi Yang Zhiqiang Huang Siwen Quan Zhiguo Cao Yanning Zhang the National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology School of Computer ScienceNorthwestern Polytechnical UniversityXi’an 710072China the School of Electronic and Control Engineering Chang’an UniversityXi’an 710064China the School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China IEEE

Estimating an accurate six-degree-of-freedom(6-Do F)pose from correspondences with outliers remains a critical issue to 3D rigid *** sample consensus(RANSAC)and its variants are popular solutions to this *** there have been a number of RANSAC-fashion estimators,two issues remain ***,it is unclear which estimator is more appropriate to a particular ***,the impacts of different sampling strategies,hypothesis generation methods,hypothesis evaluation metrics,and stop criteria on the overall estimators remain *** work fills these gaps by first considering six existing RANSAC-fashion methods and then proposing eight variants for a comprehensive *** objective is to thoroughly compare estimators in the RANSAC family,and evaluate the effects of each key stage on the eventual 6-Do F pose estimation *** have been carried out on four standard datasets with different application scenarios,data modalities,and *** provide us with input correspondence sets with a variety of inlier ratios,spatial distributions,and *** on the experimental results,we summarize remarkable outcomes and valuable findings,so as to give practical instructions to real-world applications,and highlight current bottlenecks and potential solutions in this research realm.

关键词： 3D rigid registration performance evaluation point cloud pose estimation

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Stabilizing SiPM output with adaptive temperature compensation in portable real-time PCR devices

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ISA Transactions 2025年 162卷 144-149页

作者： Li, Gui-Ping Ding, Wei Liang, Wen-Jing Shi, Yu Department of Computer Science and Technology Beijing Normal University-Hong Kong Baptist University United International College Zhuhai519087 China Faculty of Electrical Engineering and Automation Changshu Institute of Technology Changshu215500 China Hema Medical Instrument Co. Ltd Zhuhai519087 China

Real-time Polymerase Chain Reaction (PCR) technology is essential in clinical pathogen measurement due to its high sensitivity, specificity, and accuracy. Portable real-time PCR instruments, known for their quick response, mobility, and efficiency, are crucial for controlling emerging infectious diseases at the grassroots level. Silicon photomultipliers (SiPMs), with their high gain, sensitivity, low bias voltage, magnetic field insensitivity, and compactness, are widely used in various applications, including real-time PCR instruments. However, the gain of SiPM is temperature-dependent, which affects performance stability. In grassroots measurement environments, inadequate heat dissipation during equipment operation can alter SiPM working temperatures, impacting performance. To address this, we propose an innovative technique using a pair of Polymethyl Methacrylate(PMMA) polymer reference samples to stabilize SiPM output against temperature variations. This method effectively controls SiPM output fluctuations within 1%, even with temperature changes exceeding 10∘C, enhancing the stability, portability, and cost-effectiveness of fluorescence PCR instrument optical systems. © 2025

关键词： High gain Polymethyl Methacrylate Real-time PCR Silicon photo-multiplier Temperature compensation

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