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IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific)

作者： Pongsiri Mungporn Surin Khomfoi Ridtee Inteeworn Apinun Gonmanee Serge Pierfederici Babak Nahid-Mobarakeh Noureddine Takorabet Nicu Bizon Burin Yodwong Phatiphat Thounthong School of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand Provincial Electricity Authority Nakhonnayok Nakhonnayok Thailand Department of Electronics Technology Khon Kaen Technical College Institute of Vocational Education Khon Kaen Thailand Laboratoire d’Energetique et de Mecanique Théorique et Appliquée UMR 7563 CNRS University of Lorraine Vandœuvre-lès-Nancy France Electrical and Computer Engineering McMaster University Hamilton Canada ENSEM-GREEN Université de Lorraine Nancy France The National University of Science and Technology POLITEHNICA Bucharest Pitești University Centre Pitesti Romania Thai French Innovation Institute King Mongkut’s University of Technology North Bangkok Bangkok Thailand Renewable Energy Research Centre King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Teacher Training in Electrical Engineering Faculty of Technical Education King Mongkut’s University of Technology North Bangkok Bangkok Thailand

This paper introduces the Hamiltonian-differential flatness control laws specifically designed for battery and ultracapacitor (UC) hybrid vehicle systems. The main goal of these control laws is to effectively manage power flow and optimize energy utilization in hybrid systems combining batteries and UC. The proposed control laws use Hamiltonian control and differential flatness techniques to dynamically regulate the energy distribution between the battery and UC, particularly in the context of constant power load (CPL) challenges within DC Microgrid applications, including vehicle systems. To confirm the efficiency of the proposed control strategy, the experimental test bench has been set up with a Li-ion battery module (LFeLi-48100TB, 48 Vdc, 100 Ah) and a UC module with a capacitance of (188.88 F, 51.3 V.) Finally, the experimental results confirm the exceptional performance of the studied control law throughout the load-drive cycles.

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FPGA & VPU Co-Processing in Space Applications: Development and Testing with DSP/AI Benchmarks

FPGA & VPU Co-Processing in Space Applications: Development ...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Vasileios Leon Charalampos Bezaitis George Lentaris Dimitrios Soudris Dionysios Reisis Elissaios-Alexios Papatheofanous Angelos Kyriakos Aubrey Dunne Arne Samuelsson David Steenari School of Electrical and Computer Engineering National Technical University of Athens Athens Greece National and Kapodistrian University of Athens Athens Greece Ubotica Technologies Limited Dublin Ireland Cobham Gaisler AB Gothenburg Sweden European Space Research & Technology Centre European Space Agency Netherlands

The advent of computationally demanding algorithms and high data rate instruments in new space applications pushes the space industry to explore disruptive solutions for onboard data processing. We examine heterogeneous computing architectures involving high-performance and low-power commercial SoCs. The current paper implements an FPGA with VPU co-processing architecture utilizing the CIF & LCD interfaces for I/O data transfers. A Kintex FPGA serves as our framing processor and heritage accelerator, while we offload novel DSP/AI functions to a Myriad2 VPU. We prototype our architecture in the lab to evaluate the interfaces, the FPGA resource utilization, the VPU computational throughput, as well as the entire data handling system's performance, via custom benchmarking.

关键词： System performance Graphics processing units Prototypes computer architecture Aerospace electronics Benchmark testing Throughput

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Reconfigurable Massive MIMO: Harnessing the Power of the Electromagnetic Domain for Enhanced Information Transfer

arXiv

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arXiv 2023年

作者： Ying, Keke Gao, Zhen Chen, Sheng Gao, Xinyu Matthaiou, Michail Zhang, Rui Schober, Robert The School of Information and Electronics Beijing Institute of Technology Beijing100081 China The Advanced Research Institute of Multidisciplinary Science School of Information and Electronics Beijing Institute of Technology Beijing100081 China The School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom The Huawei Technologies Company Ltd. Beijing100085 China The Centre for Wireless Innovation Queen's University Belfast BelfastBT3 9DT United Kingdom The School of Science and Engineering The Chinese University of Hong Kong Shenzhen518172 China The Shenzhen Research Institute of Big Data China Department of Electrical and Computer Engineering National University of Singapore 117583 Singapore The Institute for Digital Communications Friedrich-Alexander-University Erlangen-Nürnberg Erlangen91054 Germany

The capacity of commercial massive multiple-input multiple-output (mMIMO) systems is constrained by the limited array aperture at the base station, and cannot meet the ever-increasing traffic demands of wireless networks. Given the array aperture, holographic MIMO with infinitesimal antenna spacing can maximize the capacity, but is physically unrealizable. As a promising alternative, reconfigurable mMIMO is proposed to harness the unexploited power of the electromagnetic (EM) domain for enhanced information transfer. Specifically, the reconfigurable pixel antenna technology provides each antenna with an adjustable EM radiation (EMR) pattern, introducing extra degrees of freedom for information transfer in the EM domain. In this article, we present the concept and benefits of availing the EMR domain for mMIMO transmission. Moreover, we propose a viable architecture for reconfigurable mMIMO systems, and the associated system model and downlink precoding are also discussed. In particular, a three-level precoding scheme is proposed, and simulation results verify its considerable spectral and energy efficiency advantages compared to traditional mMIMO systems. Finally, we further discuss the challenges, insights, and prospects of deploying reconfigurable mMIMO, along with the associated hardware, algorithms, and fundamental theory. Copyright © 2023, The Authors. All rights reserved.

关键词： MIMO systems

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GREYONE: data flow sensitive fuzzing 20

GREYONE: data flow sensitive fuzzing

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Proceedings of the 29th USENIX Conference on Security Symposium

作者： Shuitao Gan Chao Zhang Peng Chen Bodong Zhao Xiaojun Qin Dong Wu Zuoning Chen State Key Laboratory of Mathematical Engineering and Advanced Computing Institute for Network Science and Cyberspace Tsinghua University and Beijing National Research Center for Information Science and Technology ByteDance AI lab Institute for Network Science and Cyberspace Tsinghua University National Research Center of Parallel Computer Engineering and Technology

ISBN: (纸本)9781939133175

Data flow analysis (e.g., dynamic taint analysis) has proven to be useful for guiding fuzzers to explore hard-to-reach code and find vulnerabilities. However, traditional taint analysis is labor-intensive, inaccurate and slow, affecting the fuzzing efficiency. Apart from taint, few data flow features are *** this paper, we proposed a data flow sensitive fuzzing solution GREYONE. We first utilize the classic feature taint to guide fuzzing. A lightweight and sound fuzzing-driven taint inference (FTI) is adopted to infer taint of variables, by monitoring their value changes while mutating input bytes during fuzzing. With the taint, we propose a novel input prioritization model to determine which branch to explore, which bytes to mutate and how to mutate. Further, we use another data flow feature constraint conformance, i.e., distance of tainted variables to values expected in untouched branches, to tune the evolution direction of *** implemented a prototype of GREYONE and evaluated it on the LAVA data set and 19 real world programs. The results showed that it outperforms various state-of-the-art fuzzers in terms of both code coverage and vulnerability discovery. In the LAVA data set, GREYONE found all listed bugs and 336 more unlisted. In real world programs, GREYONE on average found 2.12X unique program paths and 3.09X unique bugs than state-of-the-art evolutionary fuzzers, including AFL, VUzzer, CollAFL, Angora and Honggfuzz, Moreover, GREYONE on average found 1.2X unique program paths and 1.52X unique bugs than a state-of-the-art symbolic exeuction assisted fuzzer QSYM. In total, it found 105 new security bugs, of which 41 are confirmed by CVE.

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Variant Plateau's Law in Atomically Thin Transition Metal Dichalcogenide Dome Networks

arXiv

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arXiv 2023年

作者： Liu, Boqing Yildirim, Tanju Lü, Tieyu Blundo, Elena Wang, Li Jiang, Lixue Zou, Hongshuai Zhang, Lijun Zhao, Huijun Yin, Zongyou Tian, Fangbao Polimeni, Antonio Lu, Yuerui School of Engineering College of Engineering and Computer Science The Australian National University CanberraACT2601 Australia 1-1 Namiki Ibaraki Tsukuba305-0044 Japan Department of Physics Institute of Theoretical Physics and Astrophysics Xiamen University Xiamen361005 China Dipartimento di Fisica Sapienza Università di Roma Roma00185 Italy School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia Centre for Catalysis and Clean Energy Griffith University Gold Coast Campus QLD4222 Australia State Key Laboratory of Integrated Optoelectronics School of Materials Science and Engineering Jilin Provincial International Cooperation Key Laboratory of High-Efficiency Clean Energy Materials Jilin University Changchun130012 China Research School of Chemistry College of Science The Australian National University CanberraACT2601 Australia Arc Centre of Excellence in Quantum Computation and Communication Technology Anu Node CanberraACT2601 Australia

Since its fundamental inception from soap bubbles, Plateau's law has sparked extensive research in equilibrated states. However, most studies primarily relied on liquids, foams or cellular structures, whereas its applicability has yet to be explored in nano-scale solid films. Here, we observed a variant Plateau's law in networks of atomically thin domes made of solid two-dimensional (2D) transition metal dichalcogenides (TMDs). Discrete layer-dependent van der Waals (vdWs) interaction energies were experimentally and theoretically obtained for domes protruding in different TMD layers. Significant surface tension differences from layer-dependent vdWs interaction energies manifest in a variant of this fundamental law. Meanwhile, the remarkable mechanical properties, gas impermeability and interlayer vdWs interaction energy of TMD films enable domes and the networks to sustain high gas pressure and exist in a fundamentally variant nature for several years. Our findings pave the way towards exploring variant discretised states with applications in opto-electro-mechanical devices. Copyright © 2023, The Authors. All rights reserved.

关键词： Surface tension

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MassSpecGym: A benchmark for the discovery and identification of molecules

arXiv

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arXiv 2024年

作者： Bushuiev, Roman Bushuiev, Anton de Jonge, Niek F. Young, Adamo Kretschmer, Fleming Samusevich, Raman Heirman, Janne Wang, Fei Zhang, Luke Dührkop, Kai Ludwig, Marcus Haupt, Nils A. Kalia, Apurva Brungs, Corinna Schmid, Robin Greiner, Russell Wang, Bo Wishart, David S. Liu, Li-Ping Rousu, Juho Bittremieux, Wout Rost, Hannes Mak, Tytus D. Hassoun, Soha Huber, Florian van der Hooft, Justin J.J. Stravs, Michael A. Böcker, Sebastian Sivic, Josef Pluskal, Tomáš Institute of Organic Chemistry and Biochemistry The Czech Academy of Sciences Czech Republic Czech Institute of Informatics Robotics and Cybernetics Czech Technical University Czech Republic Bioinformatics Group Wageningen University & Research Netherlands Department of Computer Science University of Toronto Canada Institute for Computer Science Friedrich Schiller University Jena Germany Department of Computer Science University of Antwerp Belgium Department of Computing Science University of Alberta Canada Alberta Machine Intelligence Institute Canada Department of Molecular Genetics University of Toronto Canada Bright Giant GmbH Germany Department of Computer Science Tufts University United States Department of Biological Sciences University of Alberta Canada Department of Computer Science Aalto University Finland Mass Spectrometry Data Center National Institute of Standards and Technology United States Department of Chemical and Biological Engineering Tufts University United States Centre for Digitalisation and Digitality University of Applied Sciences Düsseldorf Germany Department of Biochemistry University of Johannesburg South Africa Eawag: Swiss Federal Institute of Aquatic Science and Technology Switzerland

The discovery and identification of molecules in biological and environmental samples is crucial for advancing biomedical and chemical sciences. Tandem mass spectrometry (MS/MS) is the leading technique for high-throughput elucidation of molecular structures. However, decoding a molecular structure from its mass spectrum is exceptionally challenging, even when performed by human experts. As a result, the vast majority of acquired MS/MS spectra remain uninterpreted, thereby limiting our understanding of the underlying (bio)chemical processes. Despite decades of progress in machine learning applications for predicting molecular structures from MS/MS spectra, the development of new methods is severely hindered by the lack of standard datasets and evaluation protocols. To address this problem, we propose MassSpecGym – the first comprehensive benchmark for the discovery and identification of molecules from MS/MS data. Our benchmark comprises the largest publicly available collection of high-quality labeled MS/MS spectra and defines three MS/MS annotation challenges: de novo molecular structure generation, molecule retrieval, and spectrum simulation. It includes new evaluation metrics and a generalization-demanding data split, therefore standardizing the MS/MS annotation tasks and rendering the problem accessible to the broad machine learning community. MassSpecGym is publicly available at https://***/pluskal-lab/MassSpecGym. Copyright © 2024, The Authors. All rights reserved.

关键词： Benchmarking

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Enhanced light-matter interactions in dielectric nanostructures via machine-learning approach

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Advanced Photonics 2020年第2期2卷 57-67页

作者： Lei Xu Mohsen Rahmani Yixuan Ma Daria ASmirnova Khosro Zangeneh Kamali Fu Deng Yan Kei Chiang Lujun Huang Haoyang Zhang Stephen Gould Dragomir N.Neshev Andrey E.Miroshnichenko University of New South Wales School of Engineering and Information TechnologyCanberraAustralia Nottingham Trent University School of Science&TechnologyDepartment of EngineeringAdvanced Optics and Photonics LaboratoryNottinghamUnited Kingdom Australian National University Research School of PhysicsNonlinear Physics CentreCanberraAustralia Australian National University Research School of PhysicsARC Centre of Excellence for Transformative Meta-Optical Systems(TMOS)CanberraAustralia Queensland University of Technology School of Electrical Engineering and Computer ScienceBrisbaneQueenslandAustralia Australian National University College of Engineering and Computer ScienceCanberraAustralia

A key concept underlying the specific functionalities of metasurfaces is the use of constituent components to shape the wavefront of the light on *** are versatile,novel platforms for manipulating the scattering,color,phase,or intensity of ***,one of the typical approaches for designing a metasurface is to optimize one or two variables among a vast number of fixed parameters,such as various materials’properties and coupling effects,as well as the geometrical ***,this would require multidimensional space optimization through direct numerical ***,an alternative,popular approach allows for reducing the computational cost significantly based on a deep-learning-assisted *** utilize a deep-learning approach for obtaining high-quality factor(high-Q)resonances with desired characteristics,such as linewidth,amplitude,and spectral *** exploit such high-Q resonances for enhancedlight–matter interaction in nonlinearoptical metasurfaces and optomechanical vibrations,*** demonstrate that optimized metasurfaces achieve up to 400-fold enhancement of the third-harmonic generation;at the same time,they also contribute to 100-fold enhancement of the amplitude of optomechanical *** approach can be further used to realize structures with unconventional scattering responses.

关键词： machine learning dielectric nanostructures Fano resonance third-harmonic generation optoacoustics

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Enhanced quantum synchronization of a driven qubit under structured reservoir

APL Quantum

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APL Quantum 2025年第1期2卷

作者： Po-Wen Chen Chandrashekar Radhakrishnan Md Manirul Ali Department of Physics National Atomic Research Institute Taoyuan City 325207 Taiwan Department of Computer Science and Engineering New York University Shanghai 567 West Yangsi Road Pudong Shanghai 200124 China Centre for Quantum Science and Technology Chennai Institute of Technology Chennai 600069 India

Synchronizing a few-level quantum system is of fundamental importance to the understanding of synchronization in the deep quantum regime. We investigate quantum phase synchronization of a two-level system (qubit) driven by a semiclassical laser field, in the presence of a dissipative environment having finite bath correlation. The phase preference of the qubit is demonstrated through the Husimi Q-function, and the existence of a limit cycle is also shown in our system. Synchronization of the qubit is quantified using the shifted phase distribution. The signature of quantum phase synchronization viz. the Arnold tongue is obtained from the maximal value of the shifted phase distribution. Two distinct types of qubit dynamics are considered depending on the reservoir correlation time being very short and a situation when bath correlation time is finite. When the reservoir’s frequency spectrum is broad and the bath correlation time is short, the qubit’s phase preference vanishes in the long-time limit. In contrast, a finite bath correlation time and narrow spectral density result in persistent long-time phase localization. The synchronization regions are governed by system–environment parameters, with qubit phase synchronization being enhanced when the reservoir exhibits a narrow frequency spectrum.

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When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective

arXiv

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arXiv 2024年

作者： Li, Shoujie Wang, Zihan Wu, Changsheng Li, Xiang Luo, Shan Fang, Bin Sun, Fuchun Zhang, Xiao-Ping Ding, Wenbo Tsinghua Shenzhen International Graduate School Shenzhen518055 China RISC-V International Open Source Laboratory Shenzhen518055 China Department of Materials Science and Engineering National University of Singapore Singapore117575 Singapore Centre for Robotics Research King’s College London LondonWC2R 2LS United Kingdom Department of Automation Tsinghua University Beijing100084 China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China Department of Computer Science and Technology Tsinghua University Beijing100084 China

Tactile sensors, which provide information about the physical properties of objects, are an essential component of robotic systems. The visuotactile sensing technology with the merits of high resolution and low cost has facilitated the development of robotics from environment exploration to dexterous operation. Over the years, several reviews on visuotactile sensors for robots have been presented, but few of them discussed the significance of signal processing methods to visuotactile sensors. Apart from ingenious hardware design, the full potential of the sensory system toward designated tasks can only be released with the appropriate signal processing methods. Therefore, this paper provides a comprehensive review of visuotactile sensors from the perspective of signal processing methods and outlooks possible future research directions for visuotactile sensors. Copyright © 2024, The Authors. All rights reserved.

关键词： Signal processing

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Enhanced harmonic generation in Transition-Metal-Dichalcogenide (TMD) metasurfaces

Enhanced harmonic generation in Transition-Metal-Dichalcogen...

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2020 Frontiers in Optics Conference, FiO 2020

作者： Nauman, Mudassar Yan, Jingshi Rahmani, Mohsen de Ceglia, Domenico de Angelis, Costantino Ma, Wendi Kamali, Khosro Zangeneh Miroshnichenko, Andrey E. Lu, Yuerui Neshev, Dragomir N. Research School of Electrical Energy and Materials Engineering College of Engineering and Computer Science Australian National University CanberraACT2601 Australia Nonlinear Physics Centre Research School of Physics and Engineering Australian National University CanberraACT2601 Australia Department of Information Engineering University of Padova Via G. Gradenigo 6/B Padova Italy Department of Information Engineering University of Brescia Via Branze 38 Brescia25123 Italy School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia

We demonstrate enhanced second-harmonic (SH) generation from a single-crystal TMD metasurface of high refractive index. By manipulating the Mie-resonances at the SH wavelength, we show the control of intensity and rad... 详细信息

ISBN: (纸本)9781943580804

关键词： Harmonic generation

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