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CLEO: science and Innovations, S and I 2022

作者： Huang, Yin Shen, Yuecheng Veronis, Georgios Department of Optoelectrics Information Science and Engineering School of Physics and Electronics Central South University Hunan Changsha410012 China State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information Technology Sun Yat-Sen University Guangdong Guangzhou510275 China School of Electrical Engineering and Computer Science Louisiana State University Baton RougeLA70803 United States Center for Computation and Technology Louisiana State University Baton RougeLA70803 United States

We show that non-Hermitian plasmonic waveguide-cavity systems can simultaneously exhibit both topological edge states and singular points. We also show that the sensitivity of the reflected light intensity is greatly ... 详细信息

ISBN: (纸本)9781557528209

关键词： Topology

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An electrical model characterization of an electronic nose chemical sensor using a programmable system-on-a-chip based AFE

An electrical model characterization of an electronic nose c...

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2022 International Young Engineers Forum in electrical and computer engineering, YEF-ECE 2022

作者： Santos, Joao J.M. Palma, Susana I.C.J. Esteves, Carina Gamboa, Hugo Oliveira, Joao Pedro Roque, Ana C.A. Department of Electrical and Computer Engineering Nova School of Science and Technology Nova University of Lisbon Caparica2829-516 Portugal Associate Laboratory i4HB Institute for Health and Bioeconomy Nova School of Science and Technology Nova University of Lisbon Caparica2829-516 Portugal Ucibio Applied Molecular Biosciences Unit Department of Chemistry Nova School of Science and Technology Nova University of Lisbon Caparica2829-516 Portugal LIBPhys - Laboratory for Instrumentation Biomedical Engineering and Radiation Physics Nova School of Science and Technology Nova University of Lisbon Caparica2829-516 Portugal Uninova Nova School of Science and Technology Nova University of Lisbon Caparica2829-516 Portugal

ISBN: (纸本)9781665467315

The diagnosis of many diseases involves invasive detection methods, which are both painful and stressing for patients. In the last decades, the ever-growing development in electronic nose (E-Nose) technology made them great candidates for non-invasive disease detection methods. Such devices mimic the human olfactory system through a set of sensors which produce signals that can be associated with diseases. Recently, a class of low-cost and innovative ionogel sensors, developed by our group demonstrated their full applicability in E-Nose systems, opening a new and promising approach to the field. However, the operation of such sensor needs a background calibration phase which relies on the correct characterization and parameterization of the corresponding electrical sensor *** paper proposes a model characterization methodology based on a set of frequency responses acquisitions of the sensor, under several humidity conditions. To obtain a flexible acquisition tool capable of acquiring accurate results, an analog front-end (AFE) circuit to interface with the interdigitated electrode (IDE) sensors is presented. Such AFE circuit is fully implemented using a programmable system-on-a-chip (PSoC), helping to reduce system size and cost. Lastly, a comparison between the electrical model and data acquired with the proposed system is presented. © 2022 IEEE.

关键词： System-on-chip

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In-vivo high-resolution χ-separation at 7T

arXiv

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arXiv 2024年

作者： Kim, Jiye Kim, Minjun Ji, Sooyeon Min, Kyeongseon Jeong, Hwihun Shin, Hyeong-Geol Oh, Chungseok Straub, Sina Kim, Seong-Gi Lee, Jongho Laboratory for Imaging Science and Technology Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Division of Computer Engineering Hankuk University of Foreign Studies Yongin Korea Republic of Department of Radiology Johns Hopkins University School of Medicine BaltimoreMD United States F.M. Kirby Research Center for Functional Brain Imaging Kennedy Krieger Institute BaltimoreMD United States Department of Radiology Mayo Clinic JacksonvilleFL United States Center for Neuroscience Imaging Research Institute for Basic Science Suwon Korea Republic of Department of Biomedical Engineering Sungkyunkwan University Suwon Korea Republic of

A recently introduced quantitative susceptibility mapping (QSM) technique, χseparation, offers the capability to separate paramagnetic (χpara) and diamagnetic (χdia) susceptibility distribution within the brain. In-vivo high-resolution mapping of iron and myelin distribution, estimated by χ-separation, could provide a deeper understanding of brain substructures, assisting the investigation of their functions and alterations. This can be achieved using 7T MRI, which benefits from a high signal-to-noise ratio and susceptibility effects. However, applying χ-separation at 7T presents difficulties due to the requirement of an R2 map, coupled with issues such as high specific absorption rate (SAR), large B1 transmit field inhomogeneities, and prolonged scan time. To address these challenges, we developed a novel deep neural network, R2PRIMEnet7T, designed to convert a 7T R2* map into a 3T R2′ map. Building on this development, we present a new pipeline for χ-separation at 7T, enabling us to generate high-resolution χ-separation maps from multi-echo gradient-echo data. The proposed method is compared with alternative pipelines, such as an end-to-end network and linearly-scaled R2′, and is validated against χ-separation maps at 3T, demonstrating its accuracy. The 7T χ-separation maps generated by the proposed method exhibit similar contrasts to those from 3T, while 7T high-resolution maps offer enhanced clarity and detail. Quantitative analysis confirms that the proposed method surpasses the alternative pipelines. The proposed method results well delineate the detailed brain structures associated with iron and myelin. This new pipeline holds promise for analyzing iron and myelin concentration changes in various neurodegenerative diseases through precise structural examination. Copyright © 2024, The Authors. All rights reserved.

关键词： Signal to noise ratio

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Optimal Landing of Tilt-rotor Aircraft after Engine Failure Considering Pilot Inherent Limitations

Optimal Landing of Tilt-rotor Aircraft after Engine Failure ...

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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

作者： Yan, Xufei Chen, Renliang Zhu, Shiqiang Xie, Anhuan Gu, Jason Research Center for Intelligent Robotics Zhejiang Lab Hangzhou311100 China Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou311100 China College of Aeronautics Nanjing University of Aeronautics and Astronautics National Key Laboratory of Science and Technology on Rotorcraft Aeromechanics Jiangsu Nanjing China Dalhousie University Department of Electrical and Computer Engineering HalifaxNSB3H 4R2 Canada

ISBN: (纸本)9781665481090

An augmented longitudinal rigid-body model is developed with a set of algebra equations describing the controls in the cockpit and the differential equations describing the pilot inherent limitations. The landing procedure after one engine failure is formulated into a nonlinear optimal control problem. XV-15 tilt-rotor aircraft is taken as the sample for the demonstration of landing in one engine failure during short takeoff. The results show that the total power required, thrust coefficient, longitudinal flapping angle and optimal controls are more relatively gentle than the solutions without considering the pilot inherent limitations. Compared with the basic longitudinal rigid-body model, the optimal solutions involve more control information. © 2022 IEEE.

关键词： Differential equations

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Joint Port Selection Based Channel Acquisition for FDD Cell-Free Massive MIMO

arXiv

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arXiv 2023年

作者： Zhang, Cheng Du, Pengguang Ding, Minjie Jing, Yindi Huang, Yongming The National Mobile Communication Research Laboratory The School of Information Science and Engineering Southeast University Nanjing210096 China The Purple Mountain Laboratories Nanjing211111 China The Department of Electrical and Computer Engineering University of Alberta EdmontonT6G 1H9 Canada

In frequency division duplexing (FDD) cell-free massive MIMO, the acquisition of the channel state information (CSI) is very challenging because of the large overhead required for the training and feedback of the downlink channels of multiple cooperating base stations (BSs). In this paper, for systems with partial uplink-downlink channel reciprocity, and a general spatial domain channel model with variations in the average port power and correlation among port coefficients, we propose a joint-port-selection-based CSI acquisition and feedback scheme for the downlink transmission with zero-forcing precoding. The scheme uses an eigenvalue-decomposition-based transformation to reduce the feedback overhead by exploring the port correlation. We derive the sum-rate of the system for any port selection. Based on the sum-rate result, we propose a low-complexity greedy-search-based joint port selection (GS-JPS) algorithm. Moreover, to adapt to fast time-varying scenarios, a supervised deep learning-enhanced joint port selection (DL-JPS) algorithm is proposed. Simulations verify the effectiveness of our proposed schemes and their advantage over existing port-selection channel acquisition schemes. Copyright © 2023, The Authors. All rights reserved.

关键词： Channel state information

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Magnetorheological elastomer base isolation in civil engineering: A review

Journal of Infrastructure Intelligence and Resilience

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Journal of Infrastructure Intelligence and Resilience 2023年第2期2卷

作者： Jin, Shida Yang, Jian Sun, Shuaishuai Deng, Lei Chen, Zexin Gong, Liping Du, Haiping Li, Weihua School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong WollongongNSW2522 Australia School of Electrical Engineering and Automation Anhui University Hefei China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Anhui Province Hefei230026 China School of Electrical Computer and Telecommunications Engineering University of Wollongong WollongongNSW2522 Australia

The attention given to magnetorheological elastomers (MREs) has been on the rise over the last few decades. MREs feature a remarkable field-controllable modulus or mechanical characteristics that are influenced by an external magnetic field. Compared to its family member magnetorheological fluids (MRF), MREs offer advantages in terms of overcoming sealing and sedimentation issues. This makes them highly promising for the development of smart base isolation systems of buildings and other infrastructures. This review paper attempts to highlight the impactful progress of MRE base isolation in civil engineering over the past decades. It begins with a brief introduction of MREs including its fundamental principles, operation modes, and fabrication process. Then, the recent investigations of MREs and MRE base isolators are reviewed. Finally, discussions are made on the challenges and potential topics for further investigations. © 2023 The Author(s)

关键词： Magnetorheological fluids

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Temporal Optical Neurons For Serial Deep Learning

Temporal Optical Neurons For Serial Deep Learning

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2021 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2021

作者： Li, Ming Lin, Zhixing Meng, Xiangyan State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors Chinese Academy of Sciences Beijing China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing China Department of Electrical and Computer Engineering University of California CA United States

We propose a three-layer serial optical neural network based on the time-domain Talbot effect for the two-class recognition of English letters "u"& "c"and "a"& "s", and ... 详细信息

ISBN: (纸本)9781665416009

We propose a three-layer serial optical neural network based on the time-domain Talbot effect for the two-class recognition of English letters "u"& "c"and "a"& "s", and the recognition accuracy rate reached 100% theoretically. © 2021 IEEE.

关键词： Deep learning

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A Multifunctional Helical Fiber Operated in Non-Contact/Contact Dual-Mode Sensing Aiming for HMI/VR Applications

SSRN

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SSRN 2023年

作者： Liang, Qianqian Zhang, Dong He, Tianyiyi Zhang, Zixuan Wu, Yuchen Zhang, Guanglin Xie, Ruimin Chen, Shiyan Wang, Huaping Lee, Chengkuo State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University Shanghai201620 China Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore College of Information Sciences and Technology Donghua University Shanghai201620 China

The demand for information exchange between humans and machines or virtual spaces is growing rapidly. However, traditional contact sensing makes the spread of bacteria and viruses, and single sensing also limits the development. Hence, as an innovative product, a non-contact/contact dual-mode sensor has to come into being, which consists of stretchable bacterial cellulose (BC)-BC/graphene (Gr) helical fibers. The helical fiber with a sheath-core structure, and the degradable BC as the sheath and BC/Gr as the core, which exhibit a tensile strength of 113 MPa and elongation at a break of 477%. Under non-contact mode, the capacitance change (ΔC/C0) arrives to –0.6 (–60%) when the approaching distance is 0.5 cm, and the remote communication through capacitance changes when it is sewn on the lab-gown as a wearable wireless non-contact phone. Under contact mode, action guidance and detection are achieved successfully through interaction with virtual space. All in all, this work will lead to a new era of non-contact human-machine interfaces (HMI) and dual-mode sensors, providing a solid research foundation and leading thinking for wearable electronic products that require non-contact or multi-function Internet of Things (IoT) and virtual reality (VR) field. © 2023, The Authors. All rights reserved.

关键词： Virtual reality

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6D Movable Antenna Enhanced Interference Mitigation for Cellular-Connected UAV Communications

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IEEE Wireless Communications Letters 2025年第6期14卷 1618-1622页

作者： Ren, Tianshi Zhang, Xianchao Zhu, Lipeng Ma, Wenyan Gao, Xiaozheng Zhang, Rui The School of Information and Electronics Beijing Institute of Technology Beijing100081 China The Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore The Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems China The Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province Jiaxing University Jiaxing314001 China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of HongKong Guangdong Shenzhen518172 China

Cellular-connected unmanned aerial vehicle (UAV) communications is an enabling technology to transmit control signaling or payload data for UAVs through cellular networks. Due to the line-of-sight dominant air-to-ground channels, efficient interference mitigation is crucial to UAV communications, while the conventional fixed-position antenna (FPA) arrays have limited degrees of freedom to suppress the interference between the UAV and its non-associated co-channel base stations (BSs). To address this challenge, we propose in this letter a new approach by utilizing the six-dimensional movable antenna (6DMA) arrays to enhance the interference mitigation for the UAV. Specifically, we propose an efficient block coordinate descent algorithm to iteratively optimize the antenna position vector, array rotation vector, receive beamforming vector, and associated BS of the UAV to maximize its signal-to-interference-plus-noise ratio. Numerical results show that the proposed 6DMA enhanced cellular-connected UAV communication can significantly outperform that with the traditional FPA arrays and other benchmark schemes in terms of interference mitigation. © 2025 IEEE. All rights reserved.

关键词： Aircraft communication

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Direct evidence of low work function on SrVO3 cathode using thermionic electron emission microscopy and high-field ultraviolet photoemission spectroscopy

arXiv

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arXiv 2024年

作者： Sheikh, Md Sariful Lin, Lin Jacobs, Ryan Kordesch, Martin E. Sadowski, Jerzy T. Charpentier, Margaret Morgan, Dane Booske, John Department of Materials Science and Engineering University of Wisconsin-Madison MadisonWI53706 United States Department of Physics and Astronomy Ohio University AthensOH45701 United States Center for Functional Nanomaterials Brookhaven National Laboratory UptonNY11973 United States Kimball Physics Inc. WiltonNH03086 United States Department of Electrical Engineering and Computer Science University of Wisconsin-Madison MadisonWI53706 United States

Perovskite SrVO3 has recently been proposed as a novel electron emission cathode material. Density functional theory (DFT) calculations suggest multiple low work function surfaces and recent experimental efforts have consistently demonstrated effective work functions of ∼2.7 eV for polycrystalline samples, both results suggesting, but not directly confirming, some fraction of even lower work function surface is present. In this work, thermionic electron emission microscopy (ThEEM) and high-field ultraviolet photoemission spectroscopy are used to study the local work function distribution and measure the work function of a partially-oriented-(110)-SrVO3 perovskite oxide cathode surface. Our results show direct evidence of low work function patches of about 2.1 eV on the cathode surface, with corresponding onset of observable thermionic emission at 750 oC. We hypothesize that, in our ThEEM experiments, the high applied electric field suppresses the patch field effect, enabling the direct measurement of local work functions. This measured work function of 2.1 eV is comparable to the previous DFT-calculated work function value of the SrVO-terminated (110) SrVO3 surface (2.3 eV) and SrO terminated (100) surface (1.9 eV). The measured 2.1 eV value is also much lower than the work function for the (001) LaB6 single crystal cathode (∼2.7 eV) and comparable to the effective work function of B-type dispenser cathodes (∼2.1 eV). If SrVO3 thermionic emitters can be engineered to access domains of this low 2.1 eV work function, they have potential to significantly improve thermionic emitter-based technologies. © 2024, CC BY.

关键词： Work function

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