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Accelerating Space Commerce, Exploration, and New Discovery conference, ASCEND 2021

作者： Robertson, Bradford McNabb, Jeffrey Rines, Matthew Mavris, Dimitri N. Stanley, Douglas Gupta, Mool C. Taylor, Charles Aerospace Systems Design Laboratory School of Aerospace Engineering Georgia Institute of Technology AtlantaGA30332 United States National Institute of Aerospace HamptonVA23666 United States Department of Electrical & Computer Engineering University of Virginia CharlottesvilleVA22904 United States NASA Langley Research Center HamptonVA23681 United States

ISBN: (数字)9781624106125

ISBN: (纸本)9781624106125

Lunar habitation missions are currently being planned to have astronauts return to the moon by the mid 2020’s with a sustained lunar presence by the end of the decade. The various landed modules needed to support the missions are expected to be distributed around Shackleton Crater at distances ranging from 1 to 15 km and with power needs ranging from 10 kW to 50 kW. Current plans call for a solar array to be installed on the rim of the crater that receives near-constant sunlight year around with a power distribution system that transfers power from the source to consumers. This paper details several power distribution systems: DC transmission lines, radio frequency power beaming, and optical power beaming. Sizing algorithms for each of these distributions systems along with their necessary subsystems were developed from literature and subject matter expertise input. Several experiments were then conducted to determine the performance of the systems along with their sensitivities to changes in assumptions for various sub-components. The defined Figures of Merit enable mission designers to select the best power distribution system for each possible power consumer mission scenario. The experimental results were analyzed and compiled into a set of figures that highlight the conditions for which a certain system outperforms the other. © 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Radio transmission

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Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside"

arXiv

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arXiv 2024年

作者： Santina, Cosimo Della Corbato, Carlos Hernandez Sisman, Burak Leiva, Luis A. Arapakis, Ioannis Vakalellis, Michalis Vanderdonckt, Jean D’Haro, LuisFernando Manzi, Guido Becchio, Cristina Elamrani, Aïda Alirezaei, Mohsen Castellano, Ginevra Dimarogonas, Dimos V. Ghosh, Arabinda Haesaert, Sofie Soudjani, Sadegh Stroeve, Sybert Verschure, Paul Bacciu, Davide Deroy, Ophelia Bahrami, Bahador Gallicchio, Claudio Hauert, Sabine Sanz, Ricardo Lanillos, Pablo Iacca, Giovanni Sigg, Stephan Gasulla, Manel Steels, Luc Sierra, Carles Department of Cognitive Robotics Delft University of Technology Delft Netherlands Oberpfaffenhofen Germany Department of Computer Science University of Luxembourg Luxembourg 4 Telefónica I+D Spain AEGIS IT Research GmbH Germany Université catholique de Louvain Belgium Speech Technology and Machine Learning Group ETSI de Telecomunicación Universidad Politécnica de Madrid Madrid Spain Alien Venture Studio Alien Technology Transfer Rome Italy Hamburg Germany Institut Jean Nicod École Normale Supérieure Paris France Research Technology and Development Department Digital Industry Software Helmond Netherlands Department of Information Technology Uppsala University Uppsala Sweden Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Max Planck Institute for Software Systems Kaiserslautern Germany Department of Electrical Engineering Control Systems Group Eindhoven University of Technology Eindhoven Netherlands Amsterdam Netherlands Donders Centre for Neuroscience Radboud University Nijmegen Netherlands Computer Science Department University of Pisa Pisa Italy Faculty of Philosophy Philosophy of Science The Study of Religion Ludwig Maximilian University of Munich Munich Germany School of Engineering Mathematics and Technology University of Bristol Bristol United Kingdom Autonomous Systems Laboratory Universidad Politécnica de Madrid Spain Madrid Spain Department of Information Engineering and Computer Science University of Trento Trento Italy Department of Information and Communications Engineering Aalto University Espoo Finland Department of Electronic Engineering Universitat Politècnica de Catalunya Barcelona Spain Studio Stelluti Brussels Belgium Barcelona Spain

Consciousness has been historically a heavily debated topic in engineering, science, and philosophy. On the contrary, awareness had less success in raising the interest of scholars in the past. However, things are changing as more and more researchers are getting interested in answering questions concerning what awareness is and how it can be artificially generated. The landscape is rapidly evolving, with multiple voices and interpretations of the concept being conceived and techniques being developed. The goal of this paper is to summarize and discuss the ones among these voices that are connected with projects funded by the EIC Pathfinder Challenge called "Awareness Inside", a nonrecurring call for proposals within Horizon Europe that was designed specifically for fostering research on natural and synthetic awareness. In this perspective, we dedicate special attention to challenges and promises of applying synthetic awareness in robotics, as the development of mature techniques in this new field is expected to have a special impact on generating more capable and trustworthy embodied systems. © 2024, CC BY.

关键词： Robotics

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Unlocking Integrated Wireless Powered Sensing and Communication Networks using Reconfigurable Intelligent Surface

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IEEE Transactions on Wireless Communications 2025年

作者： Zhu, Zhengyu Guo, Kaixuan Chu, Zheng Mi, De Mu, Junsheng Muhaidat, Sami Wong, Kai-Kit Zhengzhou University School of Electrical and Information Engineering Zhengzhou 450001 China Xidian University State Key Laboratory of Integrated Services Networks 710126 China University of Nottingham Ningbo China Department of Electrical and Electronic Engineering Ningbo 315100 China University of Nottingham Ningbo China Next-Generation Internet of Everything Laboratory Ningbo 315100 China Birmingham City University College of Computing Birmingham B4 7XG United Kingdom Beijing University of Posts and Telecommunications School of Information and Communication Engineering Beijing 100876 China Khalifa University KU6G Research Center Department of Computer and Communication Engineering Abu Dhabi 127788 United Arab Emirates Carleton University Department of Systems and Computer Engineering Ottawa K1S 5B6 ON Canada University College London Department of Electronic and Electrical Engineering London WC1E 7JE United Kingdom Yonsei University Yonsei Frontier Laboratory Seoul 03722 South Korea

A novel integrated wireless powered sensing and communication (IWPSAC) framework is proposed. Specifically, a multi-antenna transmitter utilizes a radar signal for sensing targets while enabling multiple Internet of Things (IoT) devices to harvest energy from the signal, each of which employs the collected energy to upload information to an access point (AP). Our setup further considers a reconfigurable intelligent surface (RIS) to integrate sensing, wireless energy transfer (WET) and wireless information transfer (WIT) by optimizing the phase shifts. We formulate an optimization problem to maximize the weighted sum of the communication throughput and the beampattern gain by jointly designing the energy beamforming, transmission time scheduling and RIS phase shifts. The presence of multiple coupled variables in the formulated problem renders the optimization problem non-jointly convex. To address its non-convexity, we first derive a closed-form expression for the optimal RIS phase shifts in the WIT phase. Then, an alternating optimization (AO) algorithm is proposed to solve the tradeoff problem iteratively. Concretely, this involves alternating the design of the energy beamforming and the RIS phase shifts for sensing/WET by leveraging the semidefinite programming (SDP) relaxation method. To overcome the high complexity introduced by the SDP, we introduce a low complexity AO algorithm that derives the optimal solutions for energy beamforming, transmission time scheduling, and sensing/WET phase shift using successive convex approximation (SCA), Lagrangian duality methods, Karush-Kuhn-Tucker (KKT) conditions, and the element-wise block coordinate descent (EBCD) approach. Simulation results demonstrate the performance of the proposed algorithms and underscore the superior benefits of the RIS compared to baseline schemes. © 2002-2012 IEEE.

关键词： Alternating optimization (AO) element-wise block coordinate descent (EBCD) integrated wireless powered sensing and communication (IWPSAC) Internet of Things (IoT) reconfigurable intelligent surface (RIS)

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Elastic Hamiltonians for quantum analog applications

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Physical Review B 2020年第13期101卷 134107-134107页

作者： Choonlae Cho Sunkyu Yu Namkyoo Park Photonic Systems Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul 08826 South Korea

Elastic waves are complex mixtures of transverse and longitudinal oscillations even in isotropic and homogeneous media, in contrast to the quantum, electromagnetic, or acoustic waves which could share the same formalism of Hamiltonian and application techniques. Here, we reformulate the elastic wave equation into a set of polarization-dependent decoupled Hamiltonians, to enable the quantum analogous techniques for higher functionalities. As an application example, we adopt the supersymmetric transformation from particle physics and apply it to elastic Hamiltonians, for the demonstration of spatial- and polarization-selective separation of guided elastic waves. Enabling the application of quantum-analogous techniques under the established elastic Hamiltonian formulation, our approach provides a pathway for controlling elastic waves, not limited to the control of an individual guided mode for arbitrary elastic waves, demonstrated here with supersymmetric technique.

关键词： Acoustic metamaterials Elasticity Elastic wave theory Schroedinger equation

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Universal Design Platform for an Extended Class of Photonic Dirac Cones

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Physical Review Applied 2020年第4期13卷 044015-044015页

作者： Jungmin Kim Sunkyu Yu Namkyoo Park Photonic Systems Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul 08826 South Korea

Band engineering near Dirac points is an emerging topic in condensed matter physics and photonics, enabling multifaceted devices of record-high conductivity and zero refractive index in both electronic and photonic structures. Recently, an extended class of Dirac cone, type I, II, or III, has attracted much attention with its controlled directionality of singular wave behaviors near the Dirac points. However, despite the significance of the discovery and applications of each type of Dirac cone, the theoretical framework and unified design structure bridging different types of Dirac cones have not been clearly elucidated. Here, we propose a universal design platform for all types of photonic Dirac cones and reveal the key parameter determining their types and transformations. Starting from the accidentally induced photonic Dirac cone, we show that the inverse design of an optical potential landscape enables the deterministic control of the spectral ordering, which leads to designer construction of each type of Dirac cone. This approach will pave the way for the design of artificial degeneracies with tunable anisotropy for general wave systems.

关键词： Metamaterials Photonic crystals Topological effects in photonic systems Dirac semimetal Band structure methods

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Ultrahigh bandwidth applications of optical microcombs 4

Ultrahigh bandwidth applications of optical microcombs

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AI and Optical Data Sciences IV 2023

作者： Tan, M. Sun, Y. Wu, J. Xu, X. Li, Yang Corcoran, B. Chu, S. Little, B. Morandotti, R. Mitchell, A. Moss, D.J. School of Engineering RMIT University MelbourneVIC3001 Australia Optical Sciences Centre Swinburne University of Technology HawthornVIC3122 Australia State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC3800 Australia Department of Physics City University of Hong Kong Tat Chee Avenue Hong Kong Xi'an Institute of Optics and Precision Mechanics Precision Mechanics of CAS Xi'an China INRS-Énergie Matériaux et Télécommunications 1650 Boulevard Lionel-Boulet VarennesQCJ3X 1S2 Canada

ISBN: (纸本)9781510659810

We report ultrahigh bandwidth applications of Kerr microcombs at data rates beyond 10 Terabits/s. Optical neural networks can dramatically accelerate the computing speed to overcome the inherent bandwidth bottleneck of electronics. At the same time, digital signal processing has become central to many fields, from coherent optical telecommunications where it is used to compensate signal impairments, to image processing, important for observational astronomy, medical diagnosis, autonomous driving, big data and particularly artificial intelligence. Digital signal processing had traditionally been performed electronically, but new applications, particularly those involving real time video image processing, are creating unprecedented demand for ultrahigh performance, including bandwidth and reduced energy consumption. We use a new and powerful class of micro-comb called soliton crystals that exhibit robust operation and stable generation as well as a high intrinsic efficiency with a low spacing of 48.9 GHz. We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS/s (TOPS) on 250,000 pixel images for 10 kernels simultaneously - enough for facial image recognition. We use the same hardware to sequentially form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 900 pixel handwritten digit images. Finally, we demonstrate a photonic digital signal processor operating at 18 Tb/s and use it to process multiple simultaneous video signals in real-time. The system processes 400,000 video signals concurrently, performing 34 functions simultaneously that are key to object edge detection, edge enhancement and motion blur. As compared with spatial-light devices used for image processing, our system is not only ultra-high speed but highly reconfigurable and programable, able to perform many different functions without any change to the physical hardware. Our approach, based on an integrated Kerr solit

关键词： Digital signal processing

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Electromagnetic Channel Modeling and Capacity Analysis for HMIMO Communications

arXiv

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arXiv 2025年

作者： Wei, Li Yuan, Shuai S.A. Huang, Chongwen Zhang, Jianhua Bader, Faouzi Zhang, Zhaoyang Muhaidat, Sami Debbah, Mérouane Yuen, Chau School of Electrical and Electronics Engineering Nanyang Technological University Singapore639798 Singapore College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Technology Innovation Institute Masdar City Abu Dhabi United Arab Emirates KU 6G Research Center Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi127788 United Arab Emirates Department of Systems and Computer Engineering Carleton University OttawaONK1S 5B6 Canada KU 6G Research Center Khalifa University of Science and Technology P O Box 127788 Abu Dhabi United Arab Emirates

Advancements in emerging technologies, e.g., reconfigurable intelligent surfaces and holographic MIMO (HMIMO), facilitate unprecedented manipulation of electromagnetic (EM) waves, significantly enhancing the performance of wireless communication systems. To accurately characterize the achievable performance limits of these systems, it is crucial to develop a universal EM-compliant channel model. This paper addresses this necessity by proposing a comprehensive EM channel model tailored for realistic multi-path environments, accounting for the combined effects of antenna array configurations and propagation conditions in HMIMO communications. Both polarization phenomena and spatial correlation are incorporated into this probabilistic channel model. Additionally, physical constraints of antenna configurations, such as mutual coupling effects and energy consumption, are integrated into the channel modeling framework. Simulation results validate the effectiveness of the proposed probabilistic channel model, indicating that traditional Rician and Rayleigh fading models cannot accurately depict the channel characteristics and underestimate the channel capacity. More importantly, the proposed channel model outperforms free-space Green’s functions in accurately depicting both near-field gain and multi-path effects in radiative near-field regions. These gains are much more evident in tri-polarized systems, highlighting the necessity of polarization interference elimination techniques. Moreover, the theoretical analysis accurately verifies that capacity decreases with expanding communication regions of two-user communications. Copyright © 2025, The Authors. All rights reserved.

关键词： Antenna arrays

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Spatial-Temporal Enhancement Based Tourism Demand Forecasting: A Deep Model for a Case in Urban Area

SSRN

引用

SSRN 2022年

作者： Dong, Yunxuan Zhou, Binggui Yang, Guanghua Hou, Fen Hu, Zheng Ma, Shaodan School of Intelligent Systems Science and Engineering Jinan University Zhuhai519070 China State Key Laboratory of Internet of Things for Smart City the Department of Electrical and Computer Engineering University of Macau 999078 China State Key Laboratory of Network and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China

Accurate tourism demand forecasting requires the learning of the spatial-temporal features of tourism demand, which is challenging because the features may constantly change owing to human behavior. In this study, we developed a spatial-temporal feature enhancement model to ensure the integrity of the features of tourism demand. By modeling the tourism system as an undirected graph, we employ the steady-state analysis method of the undirected graph to extract the spatial-temporal features of the tourism system, and the extracted features are employed to construct the enhancement feature vector. However, the spatial-temporal features in the enhancement feature vector are often sparse. We propose a deep model with convolutional filters to ensure the feature learning ability for sparse features;however, there are challenges to using the high-dimensional convolutional filters to learn the features of an one-dimensional time series. Therefore, we convert the feature series into an image series while maintaining the relationship of the spatial-temporal features. The digital footprints of tourists from the urban area of Zhuhai were used to verify the effectiveness of the method. Numerical experiments show that the proposed model can effectively capture the evolution process of the tourism demand system, and the forecasting performance is better than that of state-of-the-art tourism demand forecasting models. © 2022, The Authors. All rights reserved.

关键词： Image enhancement

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Partially Double-Pass Structure in Serial Hybrid Fiber Amplifier

Partially Double-Pass Structure in Serial Hybrid Fiber Ampli...

引用

engineering, Science and Advanced Technology (ICESAT), International Conference on

作者： Ali Yaseen Ali Mohammed Kamil Salh Al-Mashhadani Thamer Fahad Al-Mashhadani Rabi Noori Hammudi Yassine Bouteraa Control and Energy Management Laboratory (CEM Lab)Ecole Nationaled Ingenieurs de Sfax (ENIS) Institut Superieur de Biotechnologie de Sfax (ISBS) University of Sfax Tunisia Department of Petroleum Systems Control Engineering Tikrit University Saladdin Iraq Department of Electrical Engineering Tikrit University Saladdin Iraq Department of Laser Engineering and optoelectronics Kut Univeristy College Alkut Wasit Iraq Department of Computer Engineering Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia

In this paper, a partially double pass configuration in serial hybrid fiber amplifier is experimentally demonstrated. In the proposed design, a double pass erbium gain and single pass Raman gain are achieved serially. A total pump power of 450 mW (400 mW for 1495 nm Raman amplifier and 50 mW for1480 nm in erbium amplifier) were used. At -30 dBm input signal power and optimum pumps conditions, the achieved flatness bandwidth is 80 nm (1530–1610 nm) in the conventional and long bands (C+L) bands. In addition, the obtained average gain level is 33 dB. While the obtained flatness gain is 85 nm (1525–1610 nm) within the large input signal power region at -5 dBm. By choosing a proper pump wavelength that avoid the overlapping between Raman and erbium peaks gain, a wide flatness gain is obtained.

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Group-structured adversarial training

arXiv

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arXiv 2021年

作者： Farnia, Farzan Aghazadeh, Amirali Zou, James Tse, David Laboratory for Information & Decision Systems Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science University of California Berkeley United States Department of Biomedical Data Science Stanford University Department of Electrical Engineering Stanford University

Robust training methods against perturbations to the input data have received great attention in the machine learning literature. A standard approach in this direction is adversarial training which learns a model using adversarially-perturbed training samples. However, adversarial training performs suboptimally against perturbations structured across samples such as universal and group-sparse shifts that are commonly present in biological data such as gene expression levels of different tissues. In this work, we seek to close this optimality gap and introduce Group-Structured Adversarial Training (GSAT) which learns a model robust to perturbations structured across samples. We formulate GSAT as a non-convex concave minimax optimization problem which minimizes a group-structured optimal transport cost. Specifically, we focus on the applications of GSAT for group-sparse and rank-constrained perturbations modeled using group and nuclear norm penalties. In order to solve GSAT's non-smooth optimization problem in those cases, we propose a new minimax optimization algorithm called GDADMM by combining Gradient Descent Ascent (GDA) and Alternating Direction Method of Multipliers (ADMM). We present several applications of the GSAT framework to gain robustness against structured perturbations for image recognition and computational biology datasets. © 2021, CC BY.

关键词： Gradient methods

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