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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Ali Hadi Abdulwahid Girija Rani Karetla KVB. Ganesh A Suresh Kumar K. Radha K. Shivakumar Control and Automation Engineering Department Engineering Technical College Southern Technical University Basra Iraq School of Computer Data and Mathematical Sciences Western Sydney University Australia KL Business School Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh India Department of CSE Graphic Era Deemed to be University Dept. of IT St. Martin's Engineering College Secunderabad Telangana India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India

An electroencephalogram that was captured with electrodes placed can easily get contaminated with a variety of artifacts. Here is a comparative of various electroencephalogram (EEG) de-noising techniques. Three alternative techniques are used to eliminate five different kinds of noise, and also the outcomes are evaluated. These three methods are just the Least Mean Square (LMS) technique, the Connected Neural Network, and also the Recursive Least - square (RLS) adaptable algorithm (FCNN). Period charts of the actual EEG signal, the noise EEG signal, and thus the predicted EEG signal are used to display the results. RRMSE and signal- to-noise ratio were utilized to compare the effectiveness of the 3 de-noising strategies in this study. Investigating the model parameters in this case, we discover the FCNN forecasts a better outcome compared to the other two methods.

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Synchronizing sequences for verification of finite state machines

Synchronizing sequences for verification of finite state mac...

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2019 International Conference on Information and Telecommunication Technologies and Radio Electronics, UkrMiCo 2019

作者： Mroshnyk, Maryna Shkil, Olexander Kulak, Elvira Rakhlis, Dariia Pahomov, Yurii Mroshnyk, Anatolii Dept. Specialized Computer Systems Ukrainian State University of Railway Transport Kharkiv Ukraine Dept. Computer Engineering Design Kharkiv National University of Radio Electronics Kharkiv Ukraine Dept. Automation and Control in Technical Systems of the National Technical University Kharkov Polytechnic Institute Kharkiv Ukraine

ISBN: (纸本)9781728126920

The method of detection and localization of design errors in HDL-models of finite state machines with arbitrary output functions was proposed. The diagnostic experiment is carried out bypassing all arcs of the Mealy machine, starting from the initial vertex, including for machines of the "nonexclusive" class. To ensure the return of the machine with a possible design error in the initial state, it is suggested to use synchronizing sequences. Diagnostic experiments were performed in the Active-HDL design environment. © 2019 IEEE

关键词： Diagnistic experiment HDL State diagram State machine Tests Verification Waveform

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A novel explainable ECG classification with spatio-temporal transformers and hybrid loss optimization

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Biomedical Signal Processing and control 2025年 110卷

作者： Inam Abousaber Hany El-Ghaish Haitham F. Abdallah Dept. of Information Technology Faculty of Computers and Information Technology University of Tabuk Tabuk Saudi Arabia Dept. of Computer and Control Faculty of Engineering Tanta University 31526 Gharbiya Tanta Egypt Dept. of Electrical Engineering Higher Institute of Engineering and Technology Kafrelsheikh 33511 Egypt

This paper presents a novel deep learning framework for ECG arrhythmias detection, integrating Spatio-Temporal Adaptive Embedding (STAE) Transformers and Variational Autoencoders (VAEs) to improve classification accuracy and address class imbalance. Traditional ECG classification models struggle to capture long-range temporal dependencies and handle imbalanced datasets, leading to poor sensitivity for rare arrhythmias. The proposed system employs STAE Transformers to model intricate temporal and spatial relationships within ECG signals to overcome these challenges. At the same time, VAEs generate diverse and realistic ECG samples to enhance model generalization, particularly for underrepresented arrhythmias. Additionally, combining Focal Loss and Dice Loss, a Hybrid Loss Function further optimizes performance by focusing on hard-to-classify arrhythmias. The model is evaluated on the MIT-BIH Arrhythmias Database and PTB Diagnostic ECG Database using 5-fold cross-validation, achieving an accuracy of 99.56% and a macro F1-score of 95.40%, outperforming existing state-of-the-art methods, with a 3.5% improvement in sensitivity for rare arrhythmias. To ensure interpretability, SHapley Additive exPlanations (SHAP) and Gradient-weighted Class Activation Mapping (Grad-CAM) are utilized, highlighting the QRS complex and RR intervals as the most critical features and confirming that the model focuses on clinically relevant waveform regions. These results demonstrate the effectiveness of our approach in developing an accurate, interpretable, and robust deep learning system for ECG arrhythmias detection, paving the way for more reliable clinical decision support systems.

关键词： Electrocardiography

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Improving the Efficiency of a Multistage Evaporator Station for Sugar Production Using Neural Networks

Improving the Efficiency of a Multistage Evaporator Station ...

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International Conference on Modern Electrical and Energy Systems (MEES)

作者： Nataliia Zaiets Nataliia Lutska Lidiia Vlasenko det. of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine dept. of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv Ukraine dept. of Software Engineering and Cyber Security State University of Trade and Economics Kyiv Ukraine

ISBN: (纸本)9798350346848

The paper shows the process of developing a model of multistage evaporator station of a sugar factory based on a neural network. The neural network predicts the main performance indicators of the multistage evaporator station, such as the concentration of syrup at the output of the evaporator and the amount of evaporated water at the station. Unlike existing solutions, forecasting is performed in real time based on a set of indicators of the automation system (temperatures, flow rates, levels, pressure, density in the apparatus) and industrial laboratory (concentration of solids at the inlet to the evaporation station). The proposed neural network model has an MLP structure with 27 inputs, 2 outputs and one hidden layer with 20 neurons and predicts these indicators with an error of less than 5%. This allows to increase the informative support of the operator-technologist on the quality indicators of the enterprise without additional load on the industrial laboratory and without additional cost automatic quality devices, as well as to perform timely adjustment of the technological mode of the department.

关键词： Productivity Soft sensors Predictive models Solids Sugar industry Data models Real-time systems

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Overcoming the Fear of the Dark: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields

arXiv

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arXiv 2023年

作者： van der Ploeg, Chris Nyberg, Truls Sánchez, José Manuel Gaspar Silvas, Emilia van de Wouw, Nathan Netherlands Organisation for Applied Scientific Research Integrated Vehicle Safety Group Helmond5700 AT Netherlands Eindhoven University of Technology Dynamics and Control Group Mechanical Engineering Dept. P.O. Box 513 Eindhoven5600 MB Netherlands Eindhoven University of Technology Control Systems Technology Group Mechanical Engineering Dept. P.O. Box 513 Eindhoven5600 MB Netherlands KTH Royal Institute of Technology Division of Robotics Perception and Learning School of Electrical Engineering and Computer Science Stockholm100 44 Sweden Scania CV AB Södertälje151 87 Sweden

As vehicle automation advances, motion planning algorithms face escalating challenges in achieving safe and efficient navigation. Existing Advanced Driver Assistance Systems (ADAS) primarily focus on basic tasks, leaving unexpected scenarios for human intervention, which can be error-prone. Motion planning approaches for higher levels of automation in the state-of-the-art are primarily oriented toward the use of risk- or anti-collision constraints, using over-approximates of the shapes and sizes of other road users to prevent collisions. These methods however suffer from conservative behavior and the risk of infeasibility in high-risk initial conditions. In contrast, our work introduces a novel multi-objective trajectory generation approach. We propose an innovative method for constructing risk fields that accommodates diverse entity shapes and sizes, which allows us to also account for the presence of potentially occluded objects. This methodology is integrated into an occlusion-aware trajectory generator, enabling dynamic and safe maneuvering through intricate environments while anticipating (potentially hidden) road users and traveling along the infrastructure toward a specific goal. Through theoretical underpinnings and simulations, we validate the effectiveness of our approach. This paper bridges crucial gaps in motion planning for automated vehicles, offering a pathway toward safer and more adaptable autonomous navigation in complex urban contexts. Copyright © 2023, The Authors. All rights reserved.

关键词： Motion planning

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Robust Point-to-Set control of Hybrid Systems with Uncertainties Using Constraint Tightening

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IFAC-PapersOnLine 2020年第2期53卷 6806-6812页

作者： Zonglin Liu Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany

This paper proposes a solution to the problem of computing optimized point-to-set control strategies for hybrid systems with mixed inputs and uncertainties in the continuous-valued dynamics as well as the reset functions. The solution is based on the idea to account for the uncertainties by tightening the guard and invariant sets, and thus construct a substitute hybrid automaton with deterministic transition dynamics. It can be ensured that a solution for this new model also solves the problem for the original system, i.e. the latter is robustly transferred between initial point and target set.

关键词： Hybrid systems uncertain systems constrained control robust control optimization

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Nothing About Us Without Us: a participatory design for an Inclusive Signing Tiago Robot

Nothing About Us Without Us: a participatory design for an I...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Emanuele Antonioni Cristiana Sanalitro Olga Capirci Alessio Di Renzo Maria Beatrice D'Aversa Domenico Bloisi Lun Wang Ermanno Bartoli Lorenzo Diaco Valentina Presutti Daniele Nardi Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy International Telematic University UNINETTUNO Rome Italy Institute for Cognitive Sciences and Technologies - National Research Council (ISTC-CNR) Rome Italy School of LIS - SILIS Group Rome Italy Dept. of Mathematics Computer Science and Economics University of Basilicata Potenza Italy LILEC University of Bologna Bologna Italy

ISBN: (数字)9781728188591

ISBN: (纸本)9781665406802

The success of the interaction between the robotics community and the users of these services is an aspect of considerable importance in the drafting of the development plan of any technology. This aspect becomes even more relevant when dealing with sensitive services and issues such as those related to interaction with specific subgroups of any population. Over the years, there have been few successes in integrating and proposing technologies related to deafness and sign language. Instead, in this paper, we propose an account of successful interaction between a signatory robot and the Italian deaf community, which occurred during the Smart City Robotics Challenge (SciRoc) 2021 competition 1 . Thanks to the use of a participatory design and the involvement of experts belonging to the deaf community from the early stages of the project, it was possible to create a technology that has achieved significant results in terms of acceptance by the community itself and could lead to significant results in the technology development as well.

关键词： Deafness Social networking (online) Smart cities Sociology Collaboration Gesture recognition Organizations

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Simple Multiuser Twin-Field Quantum Key Distribution Network

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Physical Review Applied 2022年第1期17卷 014025-014025页

作者： Xiaoqing Zhong Wenyuan Wang Reem Mandil Hoi-Kwong Lo Li Qian Center for Quantum Information and Quantum Control Department of Physics University of Toronto Toronto Ontario M5S 1A7 Canada Center for Quantum Information and Quantum Control Dept. of Electrical & Computer Engineering University of Toronto Toronto Ontario M5S 3G4 Canada Department of Physics University of Hong Kong Pokfulam Road Hong Kong

Twin-field quantum key distribution (TFQKD) systems have shown great promise for implementing practical long-distance secure quantum communication due to its measurement-device-independent nature and its ability to offer fundamentally superior rate-loss scaling than point-to-point QKD systems. A surge of research and development effort in the last two years has produced many variants of protocols and experimental demonstrations. In terms of hardware topology, TFQKD systems interfering quantum signals from two remotely phase-locked laser sources are in essence giant Mach-Zehnder interferometers (MZIs) requiring active phase stabilization. Such configurations are inherently unsuitable for a TFQKD network, where more than one user pair share the common quantum measurement station, because it is practically extremely difficult, if not impossible, to stabilize MZIs of largely disparate path lengths, a situation that is inevitable in a multi-user-pair TFQKD network. On the other hand, Sagnac interferometer-based TFQKD systems exploiting the inherent phase stability of the Sagnac ring can implement asymmetric TFQKD, and are therefore eminently suitable for implementing a TFQKD network. In this work, we experimentally demonstrate a proof-of-principle multi-user-pair Sagnac TFQKD network where three user pairs sharing the same measurement station can perform pairwise TFQKD through time multiplexing, with channel losses up to 58.00 dB, and channel loss asymmetry up to 15.00 dB. In some cases, the secure key rates still beat the rate-loss bound for point-to-point repeaterless QKD systems, even in this network configuration. Our demonstration of this multi-user-pair TFQKD network is a step in advancing quantum-communication network technologies.

关键词： Optical quantum information processing Quantum communication Quantum cryptography Quantum networks Quantum optics Communication networks Optical fibers Optical interferometry

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Brownian motion simulation of SiO2 abrasive nanoparticle on SiC substrate surface 10

Brownian motion simulation of SiO2 abrasive nanoparticle on ...

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10th International Conference on Leading Edge Manufacturing Technologies in 21st Century, LEM 2021

作者： Saenna, Soraya Khajornrungruang, Panart Blattler, Aran Permpatdechakul, Thitipat Suzuki, Keisuke Bakier, Mohammed A. Graduate School of Computer Science and Systems Engineering Kyushu Institute Technology 680-4 Kawazu Iizuka-shi Fukuoka820-8502 Japan Dept. of Intelligent and Control Systems Advanced Mechanical Division Kyushu Institute of Technology 680-4 Kawazu Iizuka-shi Fukuoka820-8502 Japan

Chemical-Mechanical Polishing (CMP) process has emerged as the method of choice for planarization in the semiconductor industry. The interaction force between the surface being polished and the abrasive nanoparticles plays a significant role in flattening the substrate surface in the CMP process. For example, when the SiO2 nanoparticle is distant from the SiC substrate surface, the interaction force between the surface and the nanoparticles is presented. This force could be analysed using Derjaguin and Landau and Verwey and Overbeek (DLVO) theory and particle Brownian motion. According to the simulation results, we found that very fine abrasive nanoparticle such as smaller than approximately 10 nm is comparatively approach to the surface being polished more certainly. © 2021 The Japan Society of Mechanical Engineers.

关键词： Silicon carbide

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Study of the Influence of Rolling Modes on the Operation of Interconnected Electric Drives of a Rolling Mill

Study of the Influence of Rolling Modes on the Operation of ...

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Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Valerii Tytiuk Alexey Kalinin Valeriy Druzhinin Victor Busher Oleksii Chornyi Dmytro Halushko Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Department of Informative computer systems Abylkas Saginov Karaganda Technical University NPJSC Karaganda The Republic of Kazakhstan Department of Power Engineering Karaganda Industrial University NPJSC Temirtau The Republic of Kazakhstan Dept. of Electrical Engineering and Electronics National University “Odessa Maritime Academy” Odessa Ukraine Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrogradskyi National University Kremenchuk Ukraine Dept. of Electrical Engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

The paper is devoted to study of the influence of rolling modes on the performance of powerful interconnected electric drives of a hot rolling mill under the action of an electromagnetic coupling circuit between the electric drives of the roughing and finishing groups. The action of the electromagnetic coupling circuit manifests itself in the form of the influence of impact loads of synchronous electric drives on the angular velocity of direct current electric drives of the finishing group of the mill. The parameters of the electromagnetic coupling circuit are determined by the power supply scheme and equipment parameters. Values of impact loads applied to a synchronous motor depend on the rolling process parameters, in particular, the chemical composition of the rolled steel and the temperature of the ingot. The paper presents the results of calculating the rolling power for various rolling mode parameters. Using mathematical modeling in Simulink, numerical estimates of the influence of rolling modes on the magnitude of the voltage drop in the power supply unit and the drop in the angular velocity of the electric drive of the finishing group were obtained on the example of a wide-strip hot rolling mill 1700 of ArcelorMittal Temirtau JSC.

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