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arXiv 2023年

作者： Wen, Yunfeng Yang, Fang Song, Jian Han, Zhu The Department of Electronic Engineering Tsinghua University Beijing100084 China The Key Laboratory of Digital TV System of Shenzhen City Research Institute of Tsinghua University in Shenzhen Shenzhen518057 China The Shenzhen International Graduate School Tsinghua University Shenzhen518055 China The Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of

As one of the six usage scenarios of the sixth generation (6G) mobile communication system, integrated sensing and communication (ISAC) has garnered considerable attention, and numerous studies have been conducted on radio-frequency (RF)-ISAC. Benefitting from the communication and sensing capabilities of an optical system, free space optical (FSO)-ISAC becomes a potential complement to RF-ISAC. In this paper, a direct-current-biased optical orthogonal frequency division multiplexing (DCO-OFDM) scheme is proposed for FSO-ISAC. To derive the spectral efficiency for communication and the Fisher information for sensing as performance metrics, we model the clipping noise of DCO-OFDM as additive colored Gaussian noise to obtain the expression of the signal-to-noise ratio. Based on the derived performance metrics, joint power allocation problems are formulated for both communication-centric and sensing-centric scenarios. In addition, the non-convex joint optimization problems are decomposed into sub-problems for DC bias and subcarriers, which can be solved by block coordinate descent algorithms. Furthermore, numerical simulations demonstrate the proposed algorithms and reveal the trade-off between communication and sensing functionalities of the OFDM-based FSO-ISAC system. Copyright © 2023, The Authors. All rights reserved.

关键词： Orthogonal frequency division multiplexing

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Wireless-Friendly Window Position Optimization for RIS-Aided Outdoor-to-Indoor Networks based on Multi-Modal Large Language Model

arXiv

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arXiv 2024年

作者： Hou, Jinbo Qiu, Kehai Zhang, Zitian Yu, Yong Wang, Kezhi Capolongo, Stefano Zhang, Jiliang Li, Zeyang Zhang, Jie The Department of Electronic and Electrical Engineering the University of Sheffield Sheffield United Kingdom The Department of Computer Science and Technology University of Cambridge CambridgeCB3 0FD United Kingdom Brunel University London United Kingdom The School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou China The Design & Health Lab Department of Architecture Built Environment and Construction Engineering Politecnico di Milano Italy The Department of Computer Science Brunel University London Middlesex UxbridgeUB8 3PH United Kingdom The State Key Laboratory of Synthetical Automation for Process Industries The College of Information Science and Engineering Northeastern University Shenyang China The Centre for Wireless Innovation Queen’s University of Belfast BelfastBT3 9DT United Kingdom

This paper aims to simultaneously optimize indoor wireless and daylight performance by adjusting the positions of windows and the beam directions of window-deployed reconfigurable intelligent surfaces (RISs) for RIS-aided outdoor-to-indoor (O2I) networks utilizing large language models (LLM) as optimizers. Firstly, we illustrate the wireless and daylight system models of RIS-aided O2I networks and formulate a joint optimization problem to enhance both wireless traffic sum rate and daylight illumination performance. Then, we present a multi-modal LLM-based window optimization (LMWO) framework, accompanied by a prompt construction template to optimize the overall performance in a zero-shot fashion, functioning as both an architect and a wireless network planner. Finally, we analyze the optimization performance of the LMWO framework and the impact of the number of windows, room size, number of RIS units, and daylight factor. Numerical results demonstrate that our proposed LMWO framework can achieve outstanding optimization performance in terms of initial performance, convergence speed, final outcomes, and time complexity, compared with classic optimization methods. The building’s wireless performance can be significantly enhanced while ensuring indoor daylight performance. Copyright © 2024, The Authors. All rights reserved.

关键词： Daylighting

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Transformer Based Tissue Classification in Robotic Needle Biopsy

arXiv

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arXiv 2024年

作者： Wang, Fanxin Cheng, Yikun Mukherjee, Sudipta S. Bhargava, Rohit Kesavadas, Thenkurussi Department of Mechatronics and Robotics Xi'an Jiaotong-Liverpool University 215123 China Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign ChampaignIL61801 United States Beckman Institute for Advanced Science and Technology Departments of Bioengineering Electrical & Computer Engineering Mechanical Science & Engineering Chemical and Biomolecular Engineering University of Illinois Urbana-Champaign ChampaignIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign ChampaignIL61801 United States Division of Research and Economic Development University at Albany State University of New York AlbanyNY12222 United States

Image-guided minimally invasive robotic surgery is commonly employed for tasks such as needle biopsies or localized therapies. However, the nonlinear deformation of various tissue types presents difficulties for surgeons in achieving precise needle tip placement, particularly when relying on low-fidelity biopsy imaging systems. In this paper, we introduce a method to classify needle biopsy interventions and identify tissue types based on a comprehensive needle-tissue contact model that incorporates both position and force parameters. We trained a transformer model using a comprehensive dataset collected from a formerly developed robotics platform, which consists of synthetic and porcine tissue from various locations (liver, kidney, heart, belly, hock) marked with interaction phases (pre-puncture, puncture, post-puncture, neutral). This model achieves a significant classification accuracy of 0.93. Our demonstrated method can assist surgeons in identifying transitions to different tissues, aiding surgeons with tissue awareness. © 2024, CC BY.

关键词： Biopsy

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Tunable single photons from an artificial atom in silicon photonics

Tunable single photons from an artificial atom in silicon ph...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Yu-Lung Tang Lukasz Komza Polnop Samutpraphoot Hanbin Song Mutasem Odeh Milena Mathew Jiu Chang Zi-Huai Zhang Alp Sipahigil Department of Physics University of California Berkeley Berkeley California USA Materials Sciences Division Lawrence Berkeley National Laboratory Berkeley California USA Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley California USA Department of Materials Science and Engineering University of California Berkeley Berkeley California USA

We characterize coherence of single photons emitted from a G center in a silicon waveguide. We present progress towards lifetime-limited and frequency-tunable single photon emission via electrical tuning.

ISBN: (纸本)9781957171258

关键词： Coherence Electric fields Emission Four wave mixing Photons Silicon photonics

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Response to an applied electric field in an antiferroelectric 1/2 subphase: The role of thermal fluctuations

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Physical Review E 2023年第6期107卷 064701-064701页

作者： Koichiro Shirota Atsuo Fukuda Neelam Yadav Vitaly P. Panov Jagdish K. Vij Yutaka Yamagata Ken Ishikawa RIKEN Center for Advanced Photonics (RAP) 2-1 Hirosawa Wako Saitama 351-0198 Japan Department of Electronic and Electrical Engineering Trinity College Dublin The University of Dublin Dublin 2 Ireland Department of Electronic and Computer Engineering Sungkyunkwan University Suwon Gyeonggi-do 16419 Republic of Korea Department of Materials Science and Engineering School of Materials and Chemical Technology Tokyo Institute of Technology 2-12-1 S8-28 Ookayama Meguro-ku Tokyo 152-8552 Japan

The response to an applied electric field in the qT=1/2 subphase of the MC881-MC452 binary mixture system is studied by using thick homeotropically aligned cells. In the ordinary antiferroelectric SmCA* and 1/2 (sub)phases, some nonplanar asymmetric distortions in the antiferroelectric unit cell structure produce induced polarization in the applied field direction, starts to unwind the helix from the beginning, and tends to align the averaged tilt plane direction parallel to the applied field. In the 1/2 subphase under consideration, however, the helix resists being deformed at the beginning and then the thresholdlike steep increase of birefringence Δn occurs in the transition from 1/2 to unwound SmC* at a field of less than 0.5 V/µm; we conclude that the thermal fluctuations play an important role in promoting the director flip-flopping in a single layer under the applied field and bring about additional induced polarization, which counteracts the aforementioned ordinary induced one and prevents the helix from unwinding. This suggests that the Langevin-like director reorientation is the mechanism of the V-shaped switching which was actually observed in the thin films of Mitsui mixture [Phys. Rev. Lett. 87, 015701 (2001)] and must have been used in prototyped thresholdless antiferroelectric liquid-crystal displays.

关键词： Ferroelectric liquid crystals Liquid crystals Smectic liquid crystals

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IoT Farm: A Robust Methodology Design to Support Smart Agricultural System Using Internet of Things with Intelligent Sensors Association

IoT Farm: A Robust Methodology Design to Support Smart Agric...

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International conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： R. Karthiga C. L. Brindha Devi R. Janaki C. Gayathri V. Samuthira Pandi D Shobana Department of IT R.M.K Engineering College Kavaraipettai Chennai Tamilnadu India Department of Computer Science Queen Mary's College (Autonomous) Chennai Tamilnadu India Department of Science & Humanities Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamilnadu India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamilnadu India Department of Electrical and Electronics Engineering Rajalakshmi Engineering College Chennai Tamilnadu India

The term “Smart Farming” has been increasingly popular in recent years due, in large part, to the proliferation of network-based, high-tech farm monitoring cycles. These cycles make extensive use of technologies for communication and information gathering in the form of machinery, equipment, and sensors. The Internet of Things, often known as IoT, is the wave of the future in every sector of the economy, and its impacts will be felt by everyone. It is a collection of different devices that are capable of configuring themselves into a fully operational network. Conventional farming practices are progressively being supplanted by smart farming, which takes use of advancements made possible by the internet of things. This makes conventional farming methods more efficient, which in turn saves farmers money and reduces the amount of food that is lost. This technology helps farmers conserve energy and time by evaluating data in actual time from sensors placed in crops and offering actionable information on how their crops are progressing. The data comes from the sensors themselves, which are planted in the crops. Data from the field is sent to the cloud and evaluated there so that procedures may be automated utilizing Internet of Things devices. The assessment of the farmer's contribution into the process of making choices is demonstrated with information regarding the temperature of the field, the soil moisture level, the humidity level, and the amount of water that is used. In addition, the technical knowledge presented here is valuable to producers at every stage of the production process, including planting, growing, harvesting, packaging and shipping.

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Effects of Trace Zn on the Deformation Mechanisms of Mg-Gd-Y-Zr Alloy Investigated by In-Situ Synchrotron Diffraction

SSRN

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SSRN 2023年

作者： Chi, Yuanqing Dai, Chao Liu, Jinwei Lin, Chaohui Sun, Wanting Liu, Weiqing Zheng, Mingyi School of Electromechanical Engineering Guangdong University of Technology Guangzhou510006 China Guangdong Provincial Key Laboratory of Advanced Manufacturing Technology of Marine Energy Equipment Guangdong University of Technology Guangzhou510006 China Department of Electrical and Computer Engineering University of Nebraska LincolnNE68588 United States Guangdong Provincial Key Laboratory of Advanced Welding Technologies China-Ukraine Institute of Welding Guangdong Academy of Sciences Guangzhou510650 China School of Materials Science and Engineering Harbin Institute of Technology Harbin150001 China

Addition of trace Zn can impose notable effect on the deformation behavior of Mg-Gd-Y-Zr alloy, while the underlying mechanisms have not been revealed. In the present work, Mg-8.5Gd-2.5Y-0.3Zr (wt%) (0Zn) and Mg-8.5Gd-2.5Y-0.5Zn-0.3Zr (wt%) (0.5Zn) alloys were fabricated by casting and extrusion, to obtain a bimodal microstructure containing fine DRXed grains and coarse unDRXed grains. The as-extruded 0Zn and 0.5Zn alloys were studied by in-situ synchrotron diffraction under uniaxial tension and compression to clarify the effect of trace Zn on the deformation mechanisms. It is found that both alloys exhibit stress relaxation in the basal slip favored grains under both tension and compression, and adding trace Zn highly enhances the stress relaxation. Furthermore, the addition of Zn stimulates the occurrence of discontinuous yielding which is in connection with the stress relaxation, resulting from the interaction between basal dislocations and solute atmospheres. The tension-compression yielding symmetry of the alloy is improved by adding Zn, which is mainly attributed to the suppression effect of γ’ phases and Gd/Y-Zn dimers on tensile twinning. Finally, the addition of Zn can promote the tensile and compressive strength, owing to the strength enhancement of the relevant deformation modes and the increase of the fraction of unDRXed regions. © 2023, The Authors. All rights reserved.

关键词： Gadolinium alloys

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Improving the quality of the power supply during the period of covid-19 using plug-in electric vehicles and artificial intelligence

Improving the quality of the power supply during the period ...

引用

International Conference on sciences and Techniques of Automatic Control and computer engineering (STA)

作者： Kouame Emmanuel Kouakou Mouna Rekik Lotfi Krichen Electrical Engineering Department Electrical systems and renewable energies Laboratory (LSEER) University of Sfax National Engineering School of Sfax (ENIS) Sfax Tunis Electrical Engineering Department Electrical systems and renewable energies Laboratory (LSEER) University of Sfax University of Gabes National Engineering School of Sfax (ENIS) Higher Institute of Computer Science and Multimedia of Gabes (ISIMG) Sfax Gabes Tunis

ISBN: (纸本)9781665482622

COVID-19, corona virus disease, has been ravaging the world since the last quarter of 2019. To address this threat, the World Health Organization (WHO) has established a list of priority medical equipment that must be used by hospitals and clinics. These equipments are in fact non-linear harmonic-producing loads that have a detrimental effect on the devices and degrade the quality of the power supply. In this paper a parallel active filter: a neuronal harmonic compensation strategy based on plug-in electric vehicles (PEVs) connected to the charging stations in the parking lot of hospitals and clinics and artificial intelligence is proposed in order to improve the quality of power supply thus protecting medical equipment in order to save lives. This strategy will be simulated in MATLAB and the results will be presented as evidence of its effectiveness.

关键词： COVID-19 Plug-in electric vehicles Biomedical equipment Hospitals Power quality Organizations Harmonic analysis

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Performance Analysis of MIMO-HARQ Assisted V2V Communications With Keyhole Effect

arXiv

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arXiv 2022年

作者： Zhang, Huan Liao, Zhengtao Shi, Zheng Yang, Guanghua Dou, Qingping Ma, Shaodan The State Key Laboratory of Internet of Things for Smart City The Department of Electrical and Computer Engineering University of Macau 999078 China The School of Intelligent Systems Science and Engineering Jinan University Zhuhai519070 China

Vehicle-to-vehicle (V2V) communications under dense urban environments usually experience severe keyhole fading effect especially for multi-input multi-output (MIMO) channels, which degrades the capacity and outage performance due to the rank deficiency. To avoid these, the integration of MIMO and hybrid automatic repeat request (HARQ) is proposed to assist V2V communications in this paper. By using the methods of integral transforms, the outage probabilities are derived in closed-form for different HARQ-assisted schemes, including Type I-HARQ, HARQ with chase combining (HARQ-CC), and HARQ with incremental redundancy (HARQ-IR). With the results, meaningful insights are gained by conducting the asymptotic outage analysis. Specifically, it is revealed that full time diversity order can be achieved, while full spatial diversity order is unreachable as compared to MIMO-HARQ systems without keyhole effect. Moreover, we prove that the asymptotic outage probability is a monotonically increasing and convex function of the transmission rate. More importantly, although HARQ-IR performs better than HARQ-CC owing to its higher coding complexity, this advantage becomes negligible in the large-scale array regime. Finally, the numerical results are verified by Monte-Carlo simulations along with some in-depth discussions. © 2022, CC BY.

关键词： Functions

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Demonstration of Density Matrix Exponentiation Using a Superconducting Quantum Processor

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Physical Review X 2022年第1期12卷 011005-011005页

作者： M. Kjaergaard M. E. Schwartz A. Greene G. O. Samach A. Bengtsson M. O’Keeffe C. M. McNally J. Braumüller D. K. Kim P. Krantz M. Marvian A. Melville B. M. Niedzielski Y. Sung R. Winik J. Yoder D. Rosenberg K. Obenland S. Lloyd T. P. Orlando I. Marvian S. Gustavsson W. D. Oliver Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA MIT Lincoln Laboratory Lexington Massachusetts 02421 USA Department of Electrical Engineering & Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Microtechnology and Nanoscience Chalmers University of Technology Göteborg 412 96 Sweden Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Departments of Physics & Electrical and Computer Engineering Duke University Durham North Carolina 27708 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

Density matrix exponentiation (DME) is a general technique for using a quantum state ρ to enact the quantum operation e−iρθ on a target system. It was first proposed in the context of quantum machine learning, but has since been shown to have broad applications in quantum metrology and computation. No experimental demonstration of DME has been performed thus far due to its demanding circuit depths and the need to efficiently generate multiple identical copies of ρ during the finite lifetime of the target system. In this work, we describe the first demonstration of the DME algorithm, which we accomplish using a superconducting quantum processor. Our demonstration relies on a 99.7% fidelity controlled-phase gate implemented using two tunable superconducting transmon qubits. We achieve a fidelity surpassing 90% at circuit depths exceeding 70 when comparing the output of the circuit executed on our quantum processor to a simulation assuming perfect operations and measurements.

关键词： Quantum algorithms Quantum computation Quantum information processing

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