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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Cheng, Hao-Chung Nakiboglu, Baris National Taiwan University Department of Electrical Engineering Graduate Institute of Communication Engineering Department of Mathematics Taipei10617 Taiwan Quantum Computing Centre Taiwan Middle East Technical University Department of Electrical and Electronics Engineering Ankara06800 Turkey

ISBN: (纸本)9781665475549

The mutual information is analyzed as a function of the input distribution using an identity due to Topsoe for channels with (possibly multiple) linear constraints and finite input and output sets. The mutual information is bounded above by a function decreasing quadratically with the distance to the set of all capacity-achieving input distributions for the case when the distance is less than a certain threshold. Explicit expressions for the threshold and the coefficient of the quadratic decrease are derived. A counter-example is provided demonstrating the non-existence of such a quadratic bound in the case of infinitely many linear cost constraints. Implications of these observations for the channel coding problem and applications of the proof technique to related problems are discussed. © 2023 IEEE.

关键词： Information theory

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A Data-Driven Approach based on Dynamic Mode Decomposition for Efficient Encoding of Dynamic Light Fields

A Data-Driven Approach based on Dynamic Mode Decomposition f...

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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Ravishankar, Joshitha Khaidem, Sally Sharma, Mansi Indian Institute of Technology Madras Department of Electrical Engineering India Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350302493

Dynamic light fields provide a richer, more realistic 3D representation of a moving scene. However, this leads to higher data rates since excess storage and transmission requirements are needed. We propose a novel approach to efficiently represent and encode dynamic light field data for display applications based on dynamic mode decomposition (DMD). Acquired images are firstly obtained through optimized coded aperture patterns for each temporal frame/camera viewpoint of a dynamic light field. The underlying spatial, angular, and temporal correlations are effectively exploited by a data-driven DMD on these acquired images arranged as time snapshots. Next, High Efficiency Video Coding (HEVC) removes redundancies in light field data, including intra-frame and inter-frame redundancies, while maintaining high reconstruction quality. The proposed scheme is the first of its kind to treat light field videos as mathematical dynamical systems, leverage on dynamic modes of acquired images, and gain flexible coding at various bitrates. Experimental results demonstrate our scheme's superior compression efficiency and bitrate savings compared to the direct encoding of acquired images using HEVC codec. © 2023 IEEE.

关键词： Dynamic mode decomposition

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Independent control of Spatial Wavefront of Beam Scanning Antenna with Transmissive Phase Gradient Metasurface

Independent control of Spatial Wavefront of Beam Scanning An...

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2024 International Symposium on Antennas and Propagation, ISAP 2024

作者： Anand, Ravi Mezghani, Amine Sarkar, Anirban School of Computing and Electrical Engineering Indian Institute of Technology Mandi Mandi India Department of Electrical and Computer Engineering University of Manitoba WinnipegMBR3T 5V6 Canada

ISBN: (纸本)9798350364774

To control and shape the spatial wavefront of reconfigurable leaky-wave antenna (LWA) by integrating a single layered transmissive phase gradient metasurface (TPGMS) is *** amplitude and phase of transmission is controlled with single layer sub-wavelength design of TPGMS, where phase modulation is achieved through the geometrical manipulation of the unitcell *** proposed unique design of metasurface has advantage of transmission phase tunability and stability for polarization insensitive waves at different angle of *** numerical simulation of the proposed integrated model shows the full control of the scanning beam from 22° to 48° at 5GHz for sub-6GHz applications. © 2024 IEEE.

关键词： Scanning antennas

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Towards Autonomous Shooting Rover via Situation Aware Visual-Perception and Dynamic Action Execution

Towards Autonomous Shooting Rover via Situation Aware Visual...

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2024 IEEE/SICE International Symposium on System Integration, SII 2024

作者： Chikoti, Shreenaga Shubham Seelam, Yukkta Jain, Aditya Mehta, Nishi Watsa, Sidhartha Ranjan, Ayush Behera, L. Indian Institute of Technology Kanpur Department of Mathematics and Scientific Computing India Indian Institute of Technology Kanpur Department of Material Science and Engineering India Indian Institute of Technology Kanpur Department of Electrical Engineering India Indian Institute of Technology Kanpur Department of Computer Science and Engineering India Indian Institute of Technology Kanpur Department of Mechanical Engineering India

ISBN: (纸本)9798350312072

In this system paper, we present our approach to the DJI Robomaster AI Challenge, 2022 where our team ERA-IITK was ranked 3rd worldwide among 83 teams. We primarily focus on system hardware design and algorithmic components to achieve full autonomy. We first detail the hardware infrastructure, including intricate details on sensors and communication setup. Then we comprehensively describe our algorithmic pipeline and a state machine based on them to realize an autonomous system. Our major novelty is the high-speed and accurate visual perception module for target detection, and high-speed self-localization to maximize the likelihood of a target being shot. Our research endeavor in this paper can serve as a foundation for more complex systems and holds immense potential for various real-world applications. © 2024 IEEE.

关键词： Vision

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The Current State of Research on Malware Written in the Rust Programming Language 11

The Current State of Research on Malware Written in the Rust...

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11th International Conference on Information Technology, ICIT 2023

作者： Praveen, Meghna Almobaideen, Wesam Rochester Institute of Technology Department of Electrical Engineering and Computing Dubai United Arab Emirates The University of Jordan Department of Computer Science Amman Jordan

ISBN: (纸本)9798350320060

Malware is conventionally written in the C/C++ programming languages. However, a recent trend has been observed where other languages are being used to write malware. One such language is the Rust programming language. In this paper, we conduct a systematic literature review to identify the current state of research on malware written in the Rust programming language. We outline the research gaps and challenges faced by researchers when studying malware written in the Rust programming language. The study found that while the industry is doing well in terms of researching and developing tools and techniques, much of it is not openly available. Moreover, there is a lack of academic research in this field, highlighting the need for academia to conduct more research to keep up with the evolving threat of malware. The study concludes that open research initiatives should be encouraged to ensure that the latest developments in malware research are accessible to all. The material in this paper is not endorsed, reviewed or approved by the Rust Foundation. © 2023 IEEE.

关键词： C++ (programming language)

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Characterizing photon emission from a quantum dot excited by long aboveband pulses

Characterizing photon emission from a quantum dot excited by...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Venuturumilli, S.S. Al Maruf, Rubayet Poole, P.J. Dalacu, D. Reimer, Michael Bajcsy, Michal Department of Electrical and Computer Engineering University of Waterloo WaterlooON Canada Department of Physics and Astronomy University of Waterloo WaterlooON Canada Institute of Quantum Computing University of Waterloo WaterlooON Canada National Research Council Canada OttawaON Canada

We experimentally investigate the quality of single photons produced with longpulse aboveband excitation of a quantum dot embedded in a semiconductor nanowire and model the results via rate equations and Markovchains.... 详细信息

ISBN: (纸本)9781957171258

关键词： Semiconductor quantum dots

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Hierarchical Attention Mechanism for Domain-invariant Spoken Language Identification via Inter-domain Alignment and Intra-domain Language Discrimination

Hierarchical Attention Mechanism for Domain-invariant Spoken...

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2024 IEEE Conference on engineering Informatics, ICEI 2024

作者： Goswami, Urvashi Muralikrishna, H. Kumar, Sujeet Dileep, A.D. Thenkanidiyoor, Veena Indian Institute of Technology Mandi School of Computing and Electrical Engineering Mandi India Manipal Institute of Technology Manipal Academy of Higher Education Department of Electronics and Communication Engineering Manipal576104 India Indian Institute of Technology Dharwad Department of Computer Science and Engineering Dharwad India National Institute of Technology Goa Department of Computer Science and Engineering Goa India

ISBN: (纸本)9798331505776

Modern methods for spoken language identification (LID) have demonstrated promising results when trained on large datasets. However, their effectiveness is considerably impacted by the discrepancies between the training and testing distributions. Unsupervised domain adaptation (UDA) addresses the domain discrepancies by aligning feature distributions across source and target domains without using labeled target data, thereby ensuring the model performs consistently across both domains. This alignment, however, may come at the cost of reduced model discriminability. To enhance performance under domainmismatched conditions, a LID system should learn domaininvariant representations of speech while maintaining language discriminability at every level, from initial segment-level representations to final utterance-level representations. To address this issue, in this paper, we propose a hierarchical attention network that simultaneously enhances model domain invariance through inter-domain alignment and improves model's language discriminability using intra-domain contrastive discrimination. The performance on the target domain shows that the proposed method exceeds the effectiveness of the top-performing existing approaches. © 2024 IEEE.

关键词： Distribution transformers

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The Utilization of a Parallel computing Algorithm for Accelerating Switching-Level Modeling of Power Electronics Simulations in a T-Type PV Inverter 14

The Utilization of a Parallel Computing Algorithm for Accele...

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14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025

作者： Brown, Buck F. Wang, Liwei Zhang, Zheyu Enslin, Johan Li, Yi Clemson University Department of Electrical and Computer Engineering North CharlestonSC United States Clemson University School of Computing North CharlestonSC United States Rensselaer Polytechnic Institute Department of Electrical Computer and Systems Engineering TroyNY United States

ISBN: (纸本)9798331516116

High-fidelity, switching-level modeling of power electronics simulations can be computationally intensive and time-consuming. This computational burden has recently escalated further due to the increased number of converters implemented in a system, e.g., renewable energy systems. Unlike switching modeling, average modeling can alleviate the computational burden and adequately represent a converter's behavior for controller design. However, average modeling does not encapsulate switching harmonics, which are crucial for power electronics design, operation, and reliability studies. This paper proposes a novel way to accelerate the switching-level modeling of simulations by leveraging parallel computing techniques and showcases this technique in a specific case study. This new technique is called the average-to-switching (A2S) model. First, the basic concept of the A2S model is outlined. Second, a case study is designed for a two-stage, T-type PV inverter. Third, electrical and thermal waveforms produced by the case study are given and discussed. The results of testing the A2S model showcase a speedup of greater than 22 times the simulation benchmark while maintaining an R2 value of greater than 0.99. © 2025 IEEE.

关键词： Power electronics

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Development of an online condition monitoring based system for the partial demagnetization fault diagnosis of SPM-type BLDC motor

Energy Conversion and Economics

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Energy Conversion and Economics 2022年第2期3卷 72-84页

作者： Usman, Adil Rajpurohit, Bharat Singh School of Computing and Electrical Engineering Indian Institute of Technology-Mandi Mandi India Electrical and Computer Engineering Department University of California Santa CruzCA United States

This study investigates partial demagnetization faults arising from stator interturn faults in a surface-mounted permanent-magnet-type brushless direct current motor. Because of rotor demagnetization, the fault severity increases significantly owing to an increase in the stator phase current and temperature. The effect of such a fault is reflected in machine parameters such as the motor back-EMF and radial magnetic flux, which are used to analyse the characteristics of faults. A mathematical model of a machine under possible fault conditions is developed using the finite element method and advanced hybrid model approaches. Experimental investigations are conducted to validate the proposed methodology. Subsequently, the machine parameters used for fault diagnosis are employed to develop an online expert-based system that can detect, classify and estimate the percent increase in the values of the parameters to determine the fault severity of the machine under fault conditions. It is discovered that the proposed approach is suitable for industrial and commercial applications in electric vehicles, where the machine's state-of-health estimation is crucial for avoiding major faults that may result in its failure. © 2022 The Authors. Energy Conversion and Economics published by John Wiley & Sons Ltd on behalf of The Institution of engineering and Technology and the State Grid of China Economic & Technological Research institute Co Ltd.

关键词： Failure analysis

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Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices 41

Federated Offline Reinforcement Learning: Collaborative Sing...

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41st International Conference on Machine Learning, ICML 2024

作者： Woo, Jiin Shi, Laixi Joshi, Gauri Chi, Yuejie Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States Department of Computing Mathematical Sciences California Institute of Technology CA91125 United States

Offline reinforcement learning (RL), which seeks to learn an optimal policy using offline data, has garnered significant interest due to its potential in critical applications where online data collection is infeasible or expensive. This work explores the benefit of federated learning for offline RL, aiming at collaboratively leveraging offline datasets at multiple agents. Focusing on finite-horizon episodic tabular Markov decision processes (MDPs), we design FedLCB-Q, a variant of the popular model-free Q-learning algorithm tailored for federated offline RL. FedLCB-Q updates local Q-functions at agents with novel learning rate schedules and aggregates them at a central server using importance averaging and a carefully designed pessimistic penalty term. Our sample complexity analysis reveals that, with appropriately chosen parameters and synchronization schedules, FedLCB-Q achieves linear speedup in terms of the number of agents without requiring high-quality datasets at individual agents, as long as the local datasets collectively cover the state-action space visited by the optimal policy, highlighting the power of collaboration in the federated setting. In fact, the sample complexity almost matches that of the single-agent counterpart, as if all the data are stored at a central location, up to polynomial factors of the horizon length. Furthermore, FedLCB-Q is communication-efficient, where the number of communication rounds is only linear with respect to the horizon length up to logarithmic factors. Copyright 2024 by the author(s)

关键词： Federated learning

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