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Enhancing Urban Intelligent Traffic Simulations of Human-Driven Car-Following Behavior Using Deep Learning Techniques 24

Enhancing Urban Intelligent Traffic Simulations of Human-Dri...

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24th COTA International Conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024

作者： Ni, Runze Zhao, Jingyi Dept. of Electrical and Electronic Engineering Univ. College London London United Kingdom Dept. of Mathematics and Industrial Engineering Ecole Polytechnique de Montreal Canada

ISBN: (数字)9780784485484

ISBN: (纸本)9780784485484

This study presents an innovative human-driven car-following model, specifically tailored for urban traffic contexts. In comparison to traditional car-following models such as the Optimal Velocity Model (OVM) and the Intelligent Driver Model (IDM), our Deep Learning based Human-Driven Car-following Model (DHCM) offers a more realistic simulation of real-world scenarios. Utilizing deep learning methodologies, we constructed this model and subsequently assessed its performance across diverse traffic conditions. Furthermore, this novel model has been integrated into a control framework, designed to extract and simulate characteristics of human-driven vehicles (HDVs), catered particularly for the emerging domain of connected and autonomous vehicles, with an emphasis on connected cruise control. Evaluations based on metrics like average absolute velocity error, total fuel consumption, and total travel distance affirm that the new model not only delivers superior performance but also enhances traffic efficiency, especially in mixed-traffic scenarios. © ASCE.

关键词： Automobile driver simulators

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Adaptive Prescribed Time Path Following Controller for Underactuated Surface Vessels 13

Adaptive Prescribed Time Path Following Controller for Under...

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13th International Conference on Intelligent Control and Information Processing, ICICIP 2025

作者： Ghommam, Jawhar Saad, Maarouf Zhu, Quanmin Rahman, Mohammed H. Dept. of Electrical and Computer Engineering Sultan Qaboos University Muscat Oman Dept. of Electrical Engineering Ecole de Technologie Superieure Montreal Canada Dept. of Engineering Design and Mathematics University of the West of England Bristol United Kingdom Mechanical Engineering Department University of Wisconsin-Milwaukee Wisconsin United States

ISBN: (纸本)9798331516147

Heading control of marine vehicles is an important issue in navigation and control engineering. This paper investigates the design of a prescribed-time robust adaptive path following control problem of an underactuated surface vessel with parametric uncertainties, unknown disturbances and control input constraints. The establishment of prescribed-time property consists of a prescribed-time regulation of the steering control systems and novel prescribed-time Line of Sight (LOS) guidance control, both of which satisfy the prescribed-time requirement. The feasibility of separate independent control design for the steering and the guidance control systems is guaranteed through the development of new results on nonlinear prescribed-time cascade systems with non-vanishing uncertainties. The Lyapunov method is employed to show that the equilibrium point of the whole system is prescribed-time input to state stable. Numerical simulations are carried out to validate the performance of the proposed control strategy. © 2025 IEEE.

关键词： Steering

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An UWB antenna with total and sharp rejection of WIMAX band using metamaterial cells 13

An UWB antenna with total and sharp rejection of WIMAX band ...

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13th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2024

作者： Fertas, Khelil Fertas, Fouad Tebache, Sofiane Institute of Electrical and Electronic Engineering University M'Hamed Bougara of Boumerdes Signals and Systems Laboratory Boumerdes Algeria Ecole Nationale Polytechnique Electronics Dept. El-Harrach Algiers Algeria

ISBN: (纸本)9798350360776

In this letter, an improved applied approach based on hexagonal metamaterial cells for filter-antenna design is presented. It is mainly useful to surmount interferences between users in UWB applications. First, an UWB antenna is designed by using GA, then the undesired WiMAX band (5.7-5.95 GHz) is rejected by optimizing of two pair hexagonal-shaped split ring resonator (SRR) metamaterial cells which are located close to a 50-Ω microstrip feed line. The rejection level of stopband frequencies close to 0 dB and correspond to 5.8 GHz. Extremely interesting simulated results for the reflection coefficient, current distribution and gain are illustrated and discussed. © 2024 IEEE.

关键词： Ultra-wideband (UWB)

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Efficient Progressive Image Compression with Variance-Aware Masking

Efficient Progressive Image Compression with Variance-Aware ...

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2025 IEEE/CVF Winter Conference on Applications of computer Vision, WACV 2025

作者： Presta, Alberto Tartaglione, Enzo Fiandrotti, Attilio Grangetto, Marco Cosman, Pamela University of Turin Italy Ltci Télécom Paris Institut Polytechnique de Paris France Uc San Diego Dept. of Electrical and Computer Engineering CA United States

ISBN: (纸本)9798331510831

Learned progressive image compression is gaining momentum as it allows improved image reconstruction as more bits are decoded at the receiver. We propose a progressive image compression method in which an image is first represented as a pair of base-quality and top-quality latent representations. Next, a residual latent representation is encoded as the element-wise difference between the top and base representations. Our scheme enables progressive image compression with element-wise granularity by introducing a masking system that ranks each element of the residual latent representation from most to least important, dividing it into complementary components, which can be transmitted separately to the decoder in order to obtain different reconstruction quality. The masking system does not add further parameters or complexity. At the receiver, any elements of the top latent representation excluded from the transmitted components can be independently replaced with the mean predicted by the hyperprior architecture, ensuring reliable reconstructions at any intermediate quality level. We also in-troduced Rate Enhancement Modules (REMs), which refine the estimation of entropy parameters using already decoded components. We obtain results competitive with state-of-the-art competitors, while significantly reducing computational complexity, decoding time, and number of parameters. © 2025 IEEE.

关键词： Image compression

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A Reversible Three-Phase Transformer Model for Energization Transients Based on Topological Remnant Flux Calculation 4

A Reversible Three-Phase Transformer Model for Energization ...

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4th Annual IEEE Kansas Power and Energy Conference, KPEC 2023

作者： Rezaei-Zare, Afshin Mostafaei, Mohsen Gras, Henry Martinez-Duro, Manuel Mahseredjian, Jean York University Dept. of Electrical Engineering and Computer Science TorontoONM3J 1P3 Canada Ecole Polytechnique de Montreal Dept. of Electrical Engineering MontrealQCH3T 1J4 Canada Electricite de France R&d Palaiseau91120 France

ISBN: (纸本)9798350335408

As a component in power systems, the power transformer plays an important role. Hence, precise modeling can provide useful information about transformer behavior in steady-state and transient conditions. Due to some limitations of available transformer modeling methods, especially in transients, a reversible three-phase transformer model is presented in this paper based on topological remnant flux calculation. In this model, the equivalent magnetic circuit is based on the duality principle. This concept facilitates the connection of an equivalent magnetic circuit to the leakage inductances. The two important factors for transformer energization modeling are air-core inductance and remnant fluxes in different core parts. The calculation of air-core inductance is explained in the paper comprehensively. The simulation results of the proposed topological model for a real 96 MVA, 410/6.8 kV power transformer with a shell-type core in EMTP software shows a nice match between simulated inrush currents with considering remnant flux and the measured ones. © 2023 IEEE.

关键词： Power transformers

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Continuous Fabrication of Microstructured Waveguides for THz Communications Using Infinite 3D Printing

Continuous Fabrication of Microstructured Waveguides for THz...

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2021 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2021

作者： Xu, Guofu Nallappan, Kathirvel Cao, Yang Skorobogatiy, Maksim Dept. of Engineering Physics Ecole polytechnique de Montreal MontrealQC Canada Dept. of Electrical Engineering Dept. of Engineering Physics Ecole polytechnique de Montreal MontrealQC Canada

ISBN: (纸本)9781665416009

A micro-structured suspended-core waveguide is designed for information transmission at 128 GHz carrier frequency. It is 3D printed using a 45° inclined extruder that enables continuous, length-unlimited fabrication of terahertz waveguides. The experimental characterization demonstrated the promising prospect of such novel technique for waveguide-assisted applications. © 2021 Institute of electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Waveguides

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AIM-HKR: AI-Driven Molecular Retrosynthesis Using Heterogeneous Knowledge Representations

AIM-HKR: AI-Driven Molecular Retrosynthesis Using Heterogene...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Bomgni, Alain Bertrand Ceskoutsé, Ribot Fleury Téné Njingang, Kevin Jordan Njike Bouetou, Thomas Bouetou Gadhamshetty, Venkataramana Etienne Gnimpieba, Z. Oglala Lakota College KyleSD United States University of Yaounde 1 Ecole Nationale Supérieure Polytechnique Yaounde Cameroon University of Dschang Dept. of Computer Science Dschang Cameroon South Dakota School of Mines and Technology Dept. of Civil and Environmental Engineering Rapid CitySD United States University of South Dakota Dept. of Biomedical Engineering VermillionSD United States

ISBN: (纸本)9798350386226

The synthesis of small molecules is a crucial task across multiple scientific domains, including drug discovery, materials science, and sustainable chemistry. As AI and Machine Learning (ML) continue to advance, these technologies offer transformative potential in molecular synthesis, enhancing efficiency and expanding synthetic possibilities. In particular, small molecule synthesis has profound implications for creating novel therapeutic agents, high-performance materials, and greener chemical processes, but a major challenge remains in designing efficient synthetic routes for target molecules. Retrosynthesis, the process of mapping out synthetic pathways by working backwards from a target molecule, represents a vital step;however, traditional retrosynthesis methods often struggle to predict complex or novel transformations. To address this limitation, we introduce AIM-HKR: AI-Driven Molecular Retrosynthesis Using Heterogeneous Knowledge Representations, a model that leverages graph neural network techniques to enhance retrosynthetic predictions. AIM-HKR integrates information from heterogeneous knowledge graphs, capturing the intricate relationships and analogical reasoning required for retrosynthesis. This model generates type-specific embeddings that reflect both network topology and semantic connections across different entity types, such as molecules, reactions, and functional groups. AIM-HKR's unique capacity to leverage heterogeneous graphs allows it to propose synthetic pathways that extend beyond established precedents, enabling predictions of chemically feasible but previously uncharted transformations. We believe AIM-HKR has the potential to significantly advance molecular synthesis through AI-driven retrosynthesis, establishing a new paradigm in AI-assisted chemistry. © 2024 IEEE.

关键词： Graph neural networks

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DEMSA: a DT-enabled Middleware for Self-adaptive Smart Spaces 1

DEMSA: a DT-enabled Middleware for Self-adaptive Smart Space...

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1st International Workshop on Middleware for Digital Twin, Midd4DT 2023

作者： Ma, Jun Bouloukakis, Georgios Kattepur, Ajay Yus, Roberto Conan, Denis Télécom SudParis Institut Polytechnique de Paris Paris France Ericsson Ai Research Bangalore India Dept. of Computer Science and Electrical Engineering University of Maryland Baltimore CountyMD United States

ISBN: (纸本)9798400704611

Heating, Ventilation, and Air Conditioning (HVAC) systems account for a significant portion of energy consumption within buildings. In order to balance the effect of thermal comfort vis-a-vis energy savings, HVAC control strategies have been proposed. However, the strategies are static and do not take into account dynamic changes of consumers, hence creating sub-optimal outcomes. This paper proposes DEMSA, a Digital Twin (DT)-enabled middleware for the self-adaptation of smart buildings. The DEMSA middleware interconnects and coordinates intelligent data exchange between the building edge server, digital twin and Artificial Intelligence (AI) planning nodes in order to invoke appropriate strategies. Moreover, DEMSA is paired with a self-adaptive mechanism that can detect the anomaly of generated planning and adaptively modify it. This process ensures balancing building energy consumption and thermal comfort requirements, without human intervention. The DEMSA middleware is described over a real smart space scenario. © 2023 ACM.

关键词： Middleware

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Active Rudders for Ship Berthing System Design with Flexible Prescribed Performance

Active Rudders for Ship Berthing System Design with Flexible...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Jawhar Ghommam Maarouf Saad Ibrahim Al Naimi Mohammed H. Rahman Faisal Mnif Dept. of Electrical and Computer Engineering Sultan Qaboos University Muscat Oman Dept. of Electrical Engineering Ecole de Technologie Superieure Montreal Canada Mechanical Engineering Department University of Wisconsin-Milwaukee Wisconsin USA

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

Automatic towing operations for non-powered ships at sea constitute a fundamental step toward automating the towing mission at harbor. This paper is devoted to solve one of the sea maneuvering problems that uses an automatic leader tug. The proposed maneuver involves implementing of robust escorting system (also called towing system) of partially non-powered towed cargo ship for an automatic berthing. To enhance the maneuverability of the towed ship, its rudder system is made active throughout the mission. To address the problem of rejecting the time-varying disturbances induced by wind, current and system parametric uncertainties, an adaptive finite-time sliding mode disturbance observer is first proposed. Then, a composite controller with flexible prescribed performance is developed based on a novel unified towing tracking error, which can ensure the geometric state variables and its corresponding velocity meet the prescribed performance constraints at the same time. Stability analysis is conducted to prove finite-time convergence of the towing tracking errors. Finally, numerical simulations validate the proposed approach.

关键词： Performance evaluation Feedback loop Uncertainty Numerical simulation Disturbance observers Stability analysis Velocity measurement Marine vehicles Time-varying systems System analysis and design

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A Reversible Three-Phase Transformer Model for Energization Transients Based on Topological Remnant Flux Calculation

A Reversible Three-Phase Transformer Model for Energization ...

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IEEE Kansas Power and Energy Conference

作者： Afshin Rezaei-Zare Mohsen Mostafaei Henry Gras Manuel Martinez-Duro Jean Mahseredjian Dept. of Electrical Engineering and Computer Science York University Toronto ON Canada Dept. of Electrical Engineering Ecole Polytechnique de Montreal Montreal QC Canada Electricite de France R&D Palaiseau France

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