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Executive Conference Chair Welcome

2023 IEEE Gaming, Entertainment, and Media Conference, GEM 2...

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2023 IEEE Gaming, Entertainment, and Media Conference, GEM 2023 2023年

作者： Hogue, Andrew Cannavo, Alberto Game Development & Interactive Media Ontario Tech University Oshawa Canada Dept. of Control and Computer Engineering Politecnico di Torino Torino Italy

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A Novel Real-Time Redundant System For Aiding Drivers To Increase Their Attention Level

A Novel Real-Time Redundant System For Aiding Drivers To Inc...

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Smart World Congress (SWC), IEEE

作者： Jacopo Sini Luigi Pugliese Pietro D’Agostino Massimo Violante Riccardo Groppo Dept. of Control and Computer Engineering Politecnico di Torino Turin Italy Sleep Advice Technologies S.r.l Turin Italy

Road accidents are a major concern worldwide. Research of technological solutions to improve road safety is an open topic, considering this issue from various perspectives. As widely reported in the literature, driver distraction is one of the most common causes of collisions. Even if vehicles are becoming safer and safer over the years, pedestrians and cyclists are still exposed to severe accidents. Major concerns about driver distraction is mobile phone use and drowsy driving. This paper proposes a virtual buddy designed to help drivers, thanks to warning sound messages, improve their attention level. The main idea is to recognize, thanks to different sources (video camera, physiological data, and interior environmental conditions) interpreted by a data-fusion algorithm, whenever there is a distracted or drowsy behavior, recalling the driver to the road. The effectiveness of the data-fusion algorithm in detecting dangerous conditions has been verified thanks to a driving simulator experimentally, obtaining no false negatives from distraction from drowsiness, a sensitivity of about 85% for the distraction caused by mobile phone usage or other activities different from focusing on driving.

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Real-time Sleep Prediction Algorithm using Commercial Off the Shelf Wearable Devices

Real-time Sleep Prediction Algorithm using Commercial Off th...

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Smart World Congress (SWC), IEEE

作者： Luigi Pugliese Massimo Violante Riccardo Groppo Dept. of Control and Computer Engineering Politecnico di Torino Turin Italy Sleep Advice Technologies S.r.l. Turin Italy

As reported by the American National Highway Traffic Safety Administration (NHTSA), sleep while driving is one of the most influential factors in fatal vehicle crashes, along with excessive vehicle speed and alcohol consumption. Physiologically speaking, driving for more than two hours in a nocturnal environment produces a driving impairment like a blood alcohol concentration of 0.05%. In this work, we present an innovative and patented sleep prediction method based on the analysis of the Autonomic Nervous System (ANS) (and its subsystems) that monitors the actions happening during the transition from awake to sleep onset. The prediction method processes the Heart Rate (HR) and the Heart Rate Variability (HRV) as collected by a wearable device on the subject wrist. Using a sliding window approach that operates on 20 seconds of samples (acquired at 1 Hz), the trend of the variance of HR and HRV is used to classify the subject condition according to a reduced Karolinska Sleepiness Scale (rKSS) that comprises five stages: Calibration, Awake, Low Drowsiness level, Medium Drowsiness level, High Drowsiness level. The prediction method has been validated experimentally using a set of recordings acquired in a realistic environment (AVL dynamic car simulator, in Graz (AT)). During the experiments, 15 subjects performed several rounds of the Maintenance Wakefulness Test (MWT). Each subject was equipped with a wearable device and apolysomnography medical equipment to gather both the data processed by the proposed approach, and the data set that constituted the ground truth under the supervision of a sleep expert medical doctor. A further experimental section has been conducted, involving the Italian truck company Chrono Express. 15 different drivers have utilized the built-up system for more than 13000 km. The proposed method is sensor agnostic, as it has been proven through preliminary activities with contactless Radio Frequency (RF) sensors. The output produced by the propos

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Features of Space Vector Pulse Width Modulation in 5-Phases Cascaded High Voltage Converters

Features of Space Vector Pulse Width Modulation in 5-Phases ...

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Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Victor Busher Oleksii Chornyi Valerii Tytiuk Oksana Glazeva Vitaliy Kuznetsov Dept. of Electrical Engineering and Electronics National University “Odessa Maritime Academy” Odessa Ukraine Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Kryvyi Rih National University Kryvyi Rih Ukraine Dept. of the electrical engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (数字)9798350384499

ISBN: (纸本)9798350384505

The purpose of this work is to analyze the capabilities of space-vector pulse-width modulation when controlling a 5-phase high-voltage cascade frequency converter in normal mode and several types of emergency situations. Taking into account the large number of controlled power transistors, an asynchronous modulation method is proposed, based on calculating the amplitude values of individual phases at each time based on the duty cycle of space vectors, which allows the control system to use independent switching in each phase. In emergency modes, when individual H-bridges are damaged, it is proposed to use the balanced space vectors method, which ensures the symmetry of the electromagnetic field in the event of a short circuit of both individual cascades and one or two phases of the inverter. Methodology. We use a mathematical and geometric interpretation of variable amplitude space vectors when projecting voltages onto a symmetrical 5-phase load. Results. Analysis of the 1st harmonic of phase voltages showed that the use of the space vector modulation method in the normal operating mode of a 5-phase converter makes it possible to increase the utilization factor of DC voltage sources by 23.1% (instead of 15.6% for a 3-phase converter). If individual H-bridges fail and the voltages in the load phases are balanced, the utilization factor may decrease, but in any case it will remain greater than 1. In this case, the higher harmonics, despite significant distortions in the shape of the phase voltages, are mutually compensated in the electromagnetic field of the load, as evidenced by absence of pulsations and shocks on the graphs of transient processes of the electromagnetic torque of the engine. Balancing of the electromagnetic field in the load is maintained even if one or two phases of the inverter are short-circuited. This significantly increases the survivability of the electric drive, which is especially important in critical mechanisms and technological processes,

关键词： Space vector pulse width modulation Frequency modulation Phase modulation High-voltage techniques Aerospace electronics control systems Harmonic analysis Vectors Inverters Electromagnetic fields

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Real-Time Local Map Generation and Collision-Free Trajectory Planning for Autonomous Vehicles in Dynamic Environments

Real-Time Local Map Generation and Collision-Free Trajectory...

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International Conference on control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)

作者： Aristeidis Geladaris Lampis Papakostas Athanasios Mastrogeorgiou Michael Sfakiotakis Panagiotis Polygerinos TWI-Hellas Athens Greece Mechanical Engineering Dept. Control Systems and Robotics Lab (CSRL) School of Engineering Hellenic Mediterranean University Heraklion Crete Greece Control Systems Lab (CSL) School of Mechanical Engineering National Technical University of Athens Greece Electrical and Computer Engineering Dept. Control Systems and Robotics Lab (CSRL) School of Engineering Hellenic Mediterranean University Heraklion Crete Greece

In this paper we propose a method for autonomous navigation in GPS-denied environments that can be deployed in all types of robotic vehicles requiring only a single RGB-D camera. Our algorithm is an integration of localization, mapping and trajectory planning software modules that can handle dynamic environments. dept. measurements and visual odometry are used to (a) create a robocentric Euclidean Signed Distance Fields (ESDF) map in real-time, (b) estimate the position of obstacles surrounding the robot, and (c) calculate the distance and gradient from them. Subsequently, we use an optimization algorithm to plan a collision-free trajectory. We show that a local map can be created faster than with the fixed-size array method used in current optimization methods. Our approach also allows for effective detection of dynamic obstacles by constantly updating the map. As a result, the robot deviates from its initial path only when necessary. We validate our results in simulation by deploying our algorithm in a skid steering rover and a hexacopter in an environment with static and dynamic obstacles.

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Switched-Capacitor Low-Pass Filter with Pole Frequency Tuning at Constant Frequency of Switching

Switched-Capacitor Low-Pass Filter with Pole Frequency Tunin...

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International Conference on Actual Problems of Electronic Instrument engineering (APEIE)

作者： Darya Y. Denisenko Irina A. Alferova Alexey E. Titov Dmitry V. Kuznetsov Dept. of Scientific Research Don State Technical University Dept. of Automatic Control Systems Southern Federal University Rostov-on-Don Russia Dept. of Scientific Research Dept. of Cyber Security of Information Systems Don State Technical University Rostov-on-Don Russia Dept. of Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia

The circuitry of a switched-capacitor low-pass filter (SCF) is considered, in which it is possible to tune the pole frequency without changing the capacitances of the switched capacitors, for example, by selecting them of the same kind. To study the suggested SCF circuit, the analysis in the time domain was used, and the obtained characteristics of the SCF were further compared with the characteristics of a generalized second-order analog filter. It is shown that the parameters implemented by the suggested filter depend not only on the capacitance values of the switched capacitors, but also on the ratio of the resistances of two additional resistors. Moreover, the SCF pole frequency is determined by the switching frequency of the keys, the ratios of the capacitances of the switched capacitors, as well as the ratio of the resistances of additional resistors. Due to the goal-oriented selection of the resistances of these resistors, it is possible to lower the SCF pole frequency at constant and identical values of the capacitances of the switched capacitors.

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Dynamic Topology Optimization for Efficient and Decentralised Federated Learning

Dynamic Topology Optimization for Efficient and Decentralise...

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IEEE International Conference on Big Data

作者： Danilo Menegatti Alessandro Giuseppi Cecilia Poli Antonio Pietrabissa Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy National Centre for Innovative Technologies in Public Health Department Istituto Superiore di Sanità Rome Italy

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

Topology optimization in decentralised federated learning settings enables the design of policies aimed at minimizing the number of communication rounds needed to reach algorithmic convergence. Given a federation of autonomous agents, finding the optimal topology which guarantees that the underlying graph is connected is still an open issue. This paper proposes a novel energy-aware topology optimization algorithm with the goal to derive an optimal topology which maximizes the algebraic connectivity of the corresponding graph in presence of energy and communication constraints. The effectiveness of the proposed approach is validated in the context of a consensus-based federated learning algorithm over an e-Health scenario.

关键词： Federated learning Heuristic algorithms Big Data Autonomous agents Topology Optimization Convergence

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Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm

Enhancing 6G-Satellite Network Integration with Artificial I...

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Learning and Technology Conference (L&T)

作者： Ibrahim Salah Aziza I. Hussein Mostafa Wageh Lotfy Mohamed Mourad Mabrook Control and Computer Department College of Engineering Almaaqal University Basrah Iraq College of Engineering Energy and Technology Research Center Effat University Saudi Arabia Dept. of Process Control Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Space Communication Dept. Faculty of Navigation Science & Space Technology Beni-Suef University Beni-Suef Egypt

ISBN: (数字)9798331532215

ISBN: (纸本)9798331532222

The integration of 6G networks and satellite communications is set to revolutionize global connectivity, offering seamless coverage across terrestrial and non-terrestrial environments. Artificial Intelligence (AI) is essential for improving this integration, addressing challenges such as dynamic resource management, latency reduction, and network optimization. AI techniques like machine learning, deep learning, and reinforcement learning offer innovative solutions to handle the complexities of 6G-satellite networks. These advancements promise to significantly improve network efficiency, enhance data transmission reliability, and ensure seamless connectivity across different areas. Potential use cases include smart cities, autonomous vehicles, and Internet of Things (IoT) applications, where AI-driven 6G-satellite integration will be crucial. The proposed AI-enhanced 6G-satellite framework not only addresses current challenges but also lays the groundwork for a resilient, scalable, and globally interconnected communication infrastructure, offering a promising future.

关键词： 6G mobile communication Wireless communication Smart cities Resource management Reliability Internet of Things Stakeholders Artificial intelligence Vehicle dynamics Satellite communications

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Generalized Likelyhood Ratio based Detection on Cyber-Attacks

Generalized Likelyhood Ratio based Detection on Cyber-Attack...

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

作者： Hao Wu Deyu Zhang dept. of Software Henan University of Engineering Zhengzhou China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

ISBN: (纸本)9781665465373

In this paper, a generalized likelihood ratio based detection algorithm with a statistical method for threshold setting is proposed to detect cyber-attacks on a unified remote control architecture. Based on an encoder and a decoder embedded on plant side and remote controller side, respectively, not only additive interrupted signal (only effecting output or input signal), but also multiplicative attack signal could be detected easily. Finally, three numerical examples are provided to validate our proposed scheme.

关键词： Additives Automation Statistical analysis Switches Decoding Detection algorithms Cyberattack

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Forecasting of Monkeypox Cases Using Optimized SARIMAX Based Model

Forecasting of Monkeypox Cases Using Optimized SARIMAX Based...

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Electronic engineering (ICEEM), International Conference on

作者： Mahmoud Elshabrawy Marwa M. Eid Abdelaziz A. Abdelhamid El-Sayed M. El-Kenawy Abdelhameed Ibrahim Dept. of Communications & Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence Delta University for Science and Technology Mansoura Egypt Dep. of Computer Science Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Computer Engineering and Control Systems Dept. Faculty of Engineering University Mansoura Egypt

This study presents a dipper-throated-based ant colony optimization (DTACO) with the Seasonal Auto-Regressive Integrated Moving Average with eXogenous factor (SARIMAX) model (DTACO+SARIMAX) to forecast monkeypox cases. The work optimizes the SARIMAX model using grid search cross-validation and fine-tunes its hyperparameters using DTACO to improve prediction accuracy. The suggested model's consistency and accuracy are considerable compared to previous studies. Comparisons with state-of-the-art models validate the proposed model's predictions. DTACO+SARIMAX can be used to control disease and monitor monkeypox. Healthcare organizations and governments can better manage and track the pandemic's course by offering accurate predictions, reducing public panic, and enabling effective pandemic planning. The Analysis of Variance (ANOVA) and Wilcoxon signed-rank tests are conducted on the proposed DTACO-SARIMAX model and compared models.

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