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International Conference on Intelligent Transportation

作者： Dominik Ascher Georg Hackenberg Sahin Albayrak Distributed Artificial Intelligence Laboratory Faculty of Electrical Engineering and Computer Science Technical University of Berlin Berlin Germany School of Engineering University of Applied Sciences Upper Austria Wels Austria

Based on recent developments and technological advances, the complexity and number of systems and services for intelligent transportation systems (ITS) has risen dramatically. The interactions between these systems and services require systematic development methods for their integrated structural design as well as their behavioral planning in terms of integrated control strategies, which can address multiple as well as heterogenous goals. To address this situation, in this work, we propose an approach for integrated modeling of heterogenous ITS systems and their integrated evaluation using approximate dynamic programming (ADP). For this, we introduce a methodology which incorporates the necessary design principles and requirements to address above challenges. Then, we present an integrated systems modeling technique which is used for problem formulation. In addition to problem formulation, it provides a generalist problem solution framework using ADP, which can be applied to multi-domain and heterogenous model problems. To demonstrate domain-specific application of our approach and systems modeling technique, we provide an exemplary model problem and its solution for an autonomous mobility on demand system in a demand responsive transport (DRT) scenario.

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Operando FTIR study on water additive in lithium-sulfur batteries to mitigate shuttle effect

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Journal of Energy Chemistry 2024年第11期98卷 702-713页

作者： Érick A.Santos Martim C.Policano Manuel J.Pinzón Isabela Galantini Vanessa A.Goncalves Francisco C.B.Maia Lucyano J.A.Macedo Gustavo Doubek Renato G.Freitas Hudson Zanin Advanced Energy Storage Division Center for Innovation on New EnergiesSchool of Electrical and Computer EngineeringUniversity of CampinasAv Albert Einstein 400CampinasSP 13083-852Brazil Catalytic Processes and Materials Group Department of Chemical EngineeringFaculty of Science and TechnologyMESA+Institute for NanotechnologyUniversity of TwentePO Box 2177500 AE EnschedeThe Netherlands Centre for Cooperative Research on Alternative Energies(CIC EnergiGUNE) Basque Research and Technology Alliance(BRTA)Vitoria-Gasteiz 01510Spain Institute of Physics&Institute of Chemistry Laboratory of Computational MaterialsFederal University of Mato GrossoCuiabá78060-900MTBrazil Brazilian Synchrotron Light Laboratory Brazilian Center for Research in Energy and MaterialsCampinas 13083-970SPBrazil Advanced Energy Storage Division LABCenter for Innovation on New EnergiesSchool of Chemical EngineeringUniversity of CampinasAv Albert Einstein 500Campinas 13083-852SPBrazil

Additives in the electrolytes of Li-S batteries aim to increase overall capacity,improve Li ion conductivity,enhance cyclability,and mitigate the shuttle effect,which is one of the major issues of this ***,the use of water as an additive in the commonly used electrolyte,1.0 M LiTFSI/1.0%(w/w) LiNO_(3) and a 1:1 mixture of 1,3-dioxolane(DOL) and 1,2-dimethoxyethane(DME) was *** used Co_(2)Mn_(0.5)Al_(0.5)O_(4)(CMA) as an electrocatalyst anchored on an activated carbon(AC) electrode with added sulfur via a melt-diffusion *** structural analysis of CMA via Rietveld refinement showed interatomic spaces that can promote ionic conductivity,facilitating Li^(+) ion *** tests determined 1600 ppm as the optimal water concentration,significantly reducing the shuttle ***-mortem XPS analysis focused on the lithium metal anode revealed the formation of Li_(2)O layers in dry samples and LiOH in wet *** capacity was observed in wet samples,which can be attributed to the superior ionic conductivity of LiOH at the electrode/electrolyte interface,surpassing that of Li_(2)O by 12 ***,Operando FTIR experiments provided real-time insights into electrolyte degradation and SEI formation,elucidating the activity mechanisms of water and Li_(2)CO_(3) over the *** work presents results that could aid future advancements in Li-S battery technology,offering possibilities to mitigate its challenges with inexpensive and scalable additives.

关键词： Diffusion Li-S Ionic conductivity Operando FTIR

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Antenna Beam forming Technology Based Enhanced Metamaterial Superstrates 3

Antenna Beam forming Technology Based Enhanced Metamaterial ...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Bashar, Bashar S. Rhazali, Z.A. Elwi, Taha A. Misran, Halina Ismail, Marwa M. Mahdi, Maki Alanssari, Ali Ihsan Universiti Tenaga Nasional Al-Nisour University College Electrical & Electronic Engineering Department College of Engineering Kajang Malaysia Universiti Tenaga Nasional Electrical & Electronic Engineering Department College of Engineering Kajang Malaysia Al-Ma 'Moon University College Department of Communication Engineering Baghdad Iraq Universiti Tenaga Nasional Nanoarchitectonic Laboratory Department of Mechanical Engineering Kajang Malaysia Computer Technologies Engineering Al-Nisour University College Baghdad Iraq

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

The proposed antenna system is designed for modern wireless communication technologies. Therefore, to match the modern applications, the proposed antenna is structured to provide multi-frequency bands with enhanced gain at the frequency band of interest. Consequently, the proposed antenna is consistent of two patches: The first, or the main patch, is a square patch layer is mounted on Taconic FR-30 substrate. The second patch is constructed as a meander ring with two stubs to increase the generated frequency bands. Nevertheless, the proposed patch is shaped as V-shape line to ensure antenna beam splitting at the desired frequency bands. The second patch is excited by the first patch by capacitive coupling;where, the first patch is excited by conduction with 50Ω discrete port. On the other hand, a metasurface layer is introduced to the proposed design mounted on the second antenna patch, as superstrate, to increase the antenna gain toward the bore-sight direction. Thus, it is found that the proposed antenna shows a maximum gain of 8dBi at 4.2GHz with maximum dimensions of 108× 108mm2. The proposed antenna operates at other frequency bands at 2.6GHz, 4.2GHz, and 5.6GHz with acceptable return losses of -16.8dB, -12.3dB and -30.6dB, sequentially. The antenna designed numerically using CST MWS software package. © 2022 IEEE.

关键词： Microstrip antennas

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A Lyapunov-Based Small-Gain Theorem for Interconnected Finite-Time Input-to-State Stable Systems

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IFAC-PapersOnLine 2023年第2期56卷 1865-1870页

作者： Huanhuan Li Tengfei Liu Zhong-Ping Jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China Department of Electrical and Computer Engineering New York University 370 Jay Street Brooklyn NY 11201 USA

This paper presents a Lyapunov formulation of the small-gain theorem for the finite-time input-to-state stability (FTISS) of an interconnected system composed of FTISS subsystems. In addition, an FTISS-Lyapunov function for the entire system is constructed from the FTISS-Lyapunov functions of the subsystems. With respect to the previously developed nonlinear, Lyapunov-based small-gain theorem restricted to input-to-state stability, a new power-function-based scaling technique is proposed to deal with the challenge that a nonlinearly scaled FTISS-Lyapunov function may not retain a decreasing rate as a power function with a positive power less than one.

关键词： Finite-time input-to-state stability small-gain theorem Lyapunov functions

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DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification

arXiv

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arXiv 2024年

作者： Chen, Junzhou Zhang, Zirui Yu, Jing Huang, Heqiang Zhang, Ronghui Xu, Xuemiao Sheng, Bin Yan, Hong Guangdong Provincial Key Laboratory of Intelligent Transportation System School of Intelligent Systems Engineering Sun Yat-Sen University Guangzhou510275 China The School of Computer Science and Engineering South China University of Technology China The Department of Computer Science and Engineering Shanghai Jiao Tong University China The Department of Electrical Engineering City University of Hong Kong Kowloon Hong Kong

Driver distraction remains a leading cause of traffic accidents, posing a critical threat to road safety globally. As intelligent transportation systems evolve, accurate and real-time identification of driver distraction has become essential. However, existing methods struggle to capture both global contextual and fine-grained local features while contending with noisy labels in training datasets. To address these challenges, we propose DSDFormer, a novel framework that integrates the strengths of Transformer and Mamba architectures through a Dual State Domain Attention (DSDA) mechanism, enabling a balance between long-range dependencies and detailed feature extraction for robust driver behavior recognition. Additionally, we introduce Temporal Reasoning Confident Learning (TRCL), an unsupervised approach that refines noisy labels by leveraging spatiotemporal correlations in video sequences. Our model achieves state-of-the-art performance on the AUC-V1, AUC-V2, and 100-Driver datasets and demonstrates real-time processing efficiency on the NVIDIA Jetson AGX Orin platform. Extensive experimental results confirm that DSDFormer and TRCL significantly improve both the accuracy and robustness of driver distraction detection, offering a scalable solution to enhance road safety. Copyright © 2024, The Authors. All rights reserved.

关键词： Highway accidents

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Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control

Reinforcement Learning-based Output Structured Feedback for ...

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American Control Conference (ACC)

作者： Kyung-Bin Kwon Sayak Mukherjee Hao Zhu Thanh Long Vu Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX USA Optimization and Control Group Pacific Northwest National Laboratory Richland WA USA

Load frequency control (LFC) is a key factor to maintain stable frequency in multi-area power systems. As modern power systems evolve from a centralized to distributed paradigm, LFC needs to consider the peer-to-peer (P2P) based scheme that considers limited information from the information-exchange graph for the generator control of each interconnected area. This paper aims to solve a data-driven constrained LQR problem with mean-variance risk constraints and output structured feedback, and applies this framework to solve the LFC problem in multi-area power systems. By reformulating the constrained optimization problem into a minimax problem, the stochastic gradient descent max-oracle (SGDmax) algorithm with zero-order policy gradient (ZOPG) is adopted to find the optimal feedback gain from the learning, while guaranteeing convergence. In addition, to improve the adaptation of the proposed learning method to new or varying models, we construct an emulator grid that approximates the dynamics of a physical grid and performs training based on this model. Once the feedback gain is obtained from the emulator grid, it is applied to the physical grid with a robustness test to check whether the controller from the approximated emulator applies to the actual system. Numerical tests show that the obtained feedback controller can successfully control the frequency of each area, while mitigating the uncertainty from the loads, with reliable robustness that ensures the adaptability of the obtained feedback gain to the actual physical grid.

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Exploit High-Dimensional RIS Information to Localization: What Is the Impact of Faulty Element?

arXiv

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arXiv 2024年

作者： Wu, Tuo Pan, Cunhua Zhi, Kangda Ren, Hong Elkashlan, Maged Wang, Cheng-Xiang Schober, Robert You, Xiaohu The School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China The School of Electrical Engineering and Computer Science Technical University of Berlin Berlin10623 Germany Germany

This paper proposes a novel localization algorithm using the reconfigurable intelligent surface (RIS) received signal, i.e., RIS information. Compared with BS received signal, i.e., BS information, RIS information offers higher dimension and richer feature set, thereby providing an enhanced capacity to distinguish positions of the mobile users (MUs). Additionally, we address a practical scenario where RIS contains some unknown (number and places) faulty elements that cannot receive signals. Initially, we employ transfer learning to design a two-phase transfer learning (TPTL) algorithm, designed for accurate detection of faulty elements. Then our objective is to regain the information lost from the faulty elements and reconstruct the complete high-dimensional RIS information for localization. To this end, we propose a transfer-enhanced dual-stage (TEDS) algorithm. In Stage I, we integrate the CNN and variational autoencoder (VAE) to obtain the RIS information, which in Stage II, is input to the transferred DenseNet 121 to estimate the location of the MU. To gain more insight, we propose an alternative algorithm named transfer-enhanced direct fingerprint (TEDF) algorithm which only requires the BS information. The comparison between TEDS and TEDF reveals the effectiveness of faulty element detection and the benefits of utilizing the high-dimensional RIS information for localization. Besides, our empirical results demonstrate that the performance of the localization algorithm is dominated by the high-dimensional RIS information and is robust to unoptimized phase shifts and signal-to-noise ratio (SNR). © 2024, CC BY.

关键词： Signal to noise ratio

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Performance of Micro-Varistor Stress Grading in Cable Terminations Subjected to Repetitive Fast Transients

Performance of Micro-Varistor Stress Grading in Cable Termin...

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Conference on electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： Alireza Naeini Shesha H. Jayaram Edward A. Cherney Department of Electrical and Computer Engineering High Voltage Engineering Laboratory University of Waterloo 200 University Avenue West Waterloo Ontario Canada BizLink elocab Ltd. Kitchener Canada

In this study, a commercial cable termination that employs micro-varistor stress grading is subjected to repetitive impulse voltages, to assess the associated temperature rise. Additionally, a COMSOL® model is developed to further investigate the effectiveness of micro-varistor stress grading on the electric field distribution. The measured and simulated results provide confirmation of the effectiveness of the micro-varistor stress grading cable termination when exposed to repetitive impulse voltages.

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QuGeo: An End-to-end Quantum Learning Framework for Geoscience — A Case Study on Full-Waveform Inversion

arXiv

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arXiv 2023年

作者： Jiang, Weiwen Lin, Youzuo Electrical and Computer Engineering Department George Mason University United States Los Alamos National Laboratory University of North Carolina Chapel Hill United States

The rapid advancement of quantum computing has generated considerable anticipation for its transformative potential. However, harnessing its full potential relies on identifying "killer applications". In this regard, QuGeo emerges as a groundbreaking quantum learning framework, poised to become a key application in geoscience, particularly for Full-Waveform Inversion (FWI). This framework integrates variational quantum circuits with geoscience, representing a novel fusion of quantum computing and geophysical analysis. This synergy unlocks quantum computing’s potential within geoscience. It addresses the critical need for physics-guided data scaling, ensuring high-performance geoscientific analyses aligned with core physical principles. Furthermore, QuGeo’s introduction of a quantum circuit custom-designed for FWI highlights the critical importance of application-specific circuit design for quantum computing. In the OpenFWI’s FlatVelA dataset experiments, the variational quantum circuit from QuGeo, with only 576 parameters, achieved significant improvement in performance. It reached a Structural Similarity Image Metric (SSIM) score of 0.905 between the ground truth and the output velocity map. This is a notable enhancement from the baseline design’s SSIM score of 0.800, which was achieved without the incorporation of physics knowledge. © 2023, CC BY.

关键词： Integrated circuit manufacture

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Enabling Intra-CPI Frequency Agility Via Backprojection Based Range-Doppler Processing

Enabling Intra-CPI Frequency Agility Via Backprojection Base...

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IEEE International Conference on Radar

作者： Rylee G. Mattingly Anthony F. Martone Justin G. Metcalf School of Electrical and Computer Engineering Advanced Radar Research Center The University of Oklahoma Norman OK USA DEVCOM Army Research Laboratory Adelphi MD USA

Increased congestion of the electromagnetic spectrum has led to an expanded interest in adaptive spectrum sharing techniques. To opportunistically utilize the spectrum, spectrum sensing techniques can be used to dynamically adapt to the spectrum on a pulse-to-pulse basis within a single coherent processing interval (CPI). Although intra-CPI pulse agility allows for more efficient use of the spectrum, it creates unique processing challenges. By transmitting pulses at different intermediate frequencies (IF) within a CPI, the pulses are no longer strictly coherent and, therefore, traditional range-Doppler processing techniques break down. This paper presents a signal model for frequency adaptive linear frequency modulated (LFM) waveforms and analyzes the impact on the slow time phase history. Additionally, a modified backprojection algorithm is presented that compensates for the distortion caused by the frequency hopping to produce a range-Doppler map with a focused target. In addition to the simulated analysis, this work will conclude with an experiment using frequency agile pulsed radar to measure a moving vehicle utilizing an USRP X310 software-defined radio (SDR) as a radar testbed.

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