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2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018

作者： Hu, Cheng Li, Weidong Wang, Rui Liu, Changjiang Yuan, Quan Sun, Peng Ministry of Education Key Laboratory of Electronic and Information Technology in Satellite Navigation Beijing Institute of Technology Beijing China Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Yueyang Meteorological Bureau of Hunan Province Yueyang China Beijing Aerospace Automatic Control Institute Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing China

ISBN: (纸本)9781538612415

A novel insect body length extraction method is proposed based on the invariant target parameters of the insect polarization scattering matrix (PSM). Two eigenvalues of the insect Graves power matrix are invariant target parameters, which are related directly to the target's geometrical properties and independent of the target orientation and the type of radar illumination. In this paper, the physical meaning of the eigenvalues is first studied. Then, the relation between the insect body length and the eigenvalues is found based on the 168 insect specimens measured by the X-band rotating linear polarization radar. Finally, the empirical formula for extracting the insect body length is built, which can achieve high-accuracy body length extraction. © 2018 IEEE.

关键词： Polarization

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Calculating the Electric Fields in the Human Brain by Deep Transcranial Magnetic Stimulation

Calculating the Electric Fields in the Human Brain by Deep T...

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URSI Commission B International Symposium on Electromagnetic Theory

作者： Mai Lu Shoogo Ueno Key Lab. of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Department of Applied Quantum Physics Graduate School of Engineering Kyushu University

ISBN: (纸本)9781467349390

Stimulation of deeper brain structures by transcranial magnetic stimulation (TMS) may be beneficial in the treatment of several neurological and psychiatric disorders. This paper presents numerical simulation of deep transcranial magnetic stimulation (dTMS) by considering double cone, H- and Halo coils. Three-dimensional distributions of the induced electric fields in realistic head model by dTMS coils were calculated by impedance method and the results were compared with that of standard figure-of-eight coil. Simulation results show that double cone and H-coils have significantly deep field penetration at the expense of induced higher and wider spread electrical fields in superficial cortical regions. The combination of Halo coil with a conventional circular coil produce deeply penetrating electric field the same as double cone and H-coils, but the stimulation in superficial brain tissues are much lower.

关键词： Coils Magnetic stimulation Magnetic heads Head Solid modeling Numerical models Impedance measurement

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Calculating the Induced Electromagnetic Fields in Real Human Head by Deep Transcranial Magnetic Stimulation

Calculating the Induced Electromagnetic Fields in Real Human...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

ISBN: (纸本)9781457702150

Stimulation of deeper brain structures by transcranial magnetic stimulation (TMS) may be beneficial in the treatment of several neurological and psychiatric disorders. This paper presents numerical simulation of deep transcranial magnetic stimulation (dTMS) by considering double cone, H-and Halo coils. Three-dimensional distributions of the induced fields i.e. magnetic flux density, current density and electric fields in realistic head model by dTMS coils were calculated by impedance method and the results were compared with that of figure-of-eight coil. It was found that double cone and H-coils have significantly deep field penetration at the expense of induced higher and wider spread electrical fields in superficial cortical regions. The Halo coil working with a circular coil carrying currents in opposite directions provides a flexible way to stimulate deep brain structures with much lower stimulation in superficial brain tissues.

关键词： Double Cone Transcranial Magnetic Stimulation haloes Coils Characteristic impedance Stimuli Electric fields Electromagnetic fields induction field Head numerical simulation

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Deep Transcranial Magnetic Stimulation Using the Semi-Halo Coil

Deep Transcranial Magnetic Stimulation Using the Semi-Halo C...

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Progress in Electromagnetic Research Symposium

作者： Mai Lu Shoogo Ueno Xu-Wei Dong Key Lab. of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Department of Applied Quantum Physics Graduate School of Engineering Kyushu University

ISBN: (纸本)9781509060948

This study presents the numerical simulation of deep transcranial magnetic stimulation dTMS by considering the semi-Halo coil working with a circular coil, i.e., semi-Halo-circular assembly coil (sHCA coil). Three-dimensional distributions of the induced magnetic field and electric field in realistic head model were obtained by impedance method, and the results were compared with the normal Halo-circular assembly coil (HCA coil). It was found the potential disadvantage of wide distribution of the electric field under the perimeter of the HCA coil can be alleviated by employing the new coil design. The sHCA coil may offer a new tool for dTMS with potential for both research and clinical applications for psychiatric and neurological disorders associated with dysfunctions of deep brain regions.

关键词： Coils Electric fields circular coil Characteristic impedance induction field Transcranial Magnetic Stimulation Neurologic Disorders perimeter Clinical applications brain region functional failure numerical simulation

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Forming Circle Formations of Multi-agent Systems Under Actuator Faults 5th

Forming Circle Formations of Multi-agent Systems Under Actu...

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5th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2021

作者： Liu, Jiajun Ru, Xinfeng Xia, Weiguo Wang, Chen China National Aeronautical Radio Electronic Research Institute and National Key Laboratory of Science and Technology on Avionics System Integration Shanghai China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and School of Control Science and Engineering Dalian University of Technology Dalian China National Engineering Research Center of Software Engineering and the State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing China

ISBN: (纸本)9789811939976

A distributed fault-tolerant formation control law is designed in this paper for multi-agent systems under external disturbances and actuator faults including time-varying loss of effectiveness faults. The initial position of each agent is already on a circle and the control purpose is to form a desired formation on this circle. Based on this local information, a distributed adaptive formation control law is designed by employing the congelation of variables method to deal with time-varying actuator faults. Finally, a simulation example is given to verify the effectiveness of the adaptive fault-tolerant control design method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Multi agent systems

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Harnessing the Synergy of Zro2 and Sio2 Dielectric Micro/Nano Particles in Polymer-Based Photonic Films for Robust Passive Daytime Radiative Cooling

SSRN

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SSRN 2023年

作者： Kang, Xiao-Jie Zhang, Hui He, Cheng-Yu Liu, Bao-Hua Zhang, Yong-Zhi Gao, Xiang-Hu Key Laboratory of Opt-Electronic Technology and Intelligent Control of Minisitry of Education Lanzhou Jiaotong University Lanzhou730070 China Laboratory of Clean Energy Chemistry and Materials State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical Physics Chinese Academy of Sciences Lanzhou730000 China

Polymer-based materials emerge as promising building blocks for passive daytime radiative cooling (PDRC) due to their low cost and simple preparation process. Inorganic particle doping into polymer matrix can further enhance mechanical properties and light scattering ability due to the increased refractive index contrast with air. However, only one inorganic particle doping is still insufficient for improvement of overall performance. Herein, we demonstrate an effective method of simultaneously introducing high refractive index (ZrO2) and wide band gap (SiO2) dielectric particles into polydimethylsiloxane (PDMS) to improve radiative cooling capability. Due to their synergistic effect, the resulting photonic film with a thickness of 1000 μm can reflect 96.7% solar irradiance (0.3‒2.5 μm), and the emissivity in the atmospheric window (8‒13 μm) is 95.2%. Under a solar intensity of ~ 836.7 W·m-2, it can achieve an average cooling power of 82.42 W·m-2, leading to a maximum sub-ambient temperature drop of 8.26 °C. As a proof of concept, its potential use in freshwater collection is investigated, demonstrating a significant increase in improve freshwater collection efficiency. Furthermore, the photonic film also exhibits versatile properties such as flexibility, hydrophobicity, thermal stability, color scalability and weather resistance, thus enhancing its suitability for various practical applications. This work provides a guidance to design polymer-based PDRC materials with double inorganic particles for efficient radiative cooling. © 2023, The Authors. All rights reserved.

关键词： Silica

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Deep and Localized Transcranial Magnetic Stimulation in Rat Using Conventional Round Coil

Deep and Localized Transcranial Magnetic Stimulation in Rat ...

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General Assembly and Scientific Symposium, URSI

作者： Mai. Lu Shoogo Ueno Key Lab. of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou Gansu China Graduate School of Engineering Kyushu University Fukuoka Japan

Transcranial magnetic stimulation (TMS) shows significant values in both brain research and therapeutic applications in the treatment of various psychiatric and neurological disorders. Animal studies of TMS plays an important role in understanding of the cellular and molecular mechanisms underlying TMS induced effects in the brain. This work investigated TMS in rat brain by employing conventional round coil with varied coil positions. Three dimensional distributions of induced electric field in realistic rat model were calculated by 3-D impedance method. Simulations results indicated that the conventional round coil can be applied to rat TMS with improved focality while also keeping high stimulation intensities in deep brain regions.

关键词： Neurological diseases Solid modeling Impedance measurement Transcranial magnetic stimulation Simulation Rats Brain modeling

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Dual-point noncoaxial rotational Doppler effect towards synthetic OAM light fields for real-time rotating axis detection

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Light(Advanced Manufacturing) 2023年第4期4卷 10-20页

作者： Yanxiang Zhang Zijing Zhang Han Lin Zhongquan Nie Rui Feng Yuan Zhao Baohua Jia School of Physics Harbin Institute of TechnologyHarbin 150001China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi ProvinceCollege of Electronic Information and Optical EngineeringTaiyuan University of TechnologyTaiyuan 030024China Centre for Atomaterials and Nanomanufacturing(CAN) School of ScienceRMIT UniversityMelbourne3000 VICAustralia

Probing the axis of a rotator is important in astrophysics,aerospace,manufacturing,machinery,automation,and virtual reality,*** optical solutions commonly require multiple sequential measurements via symmetry-broken light fields,which make them time-consuming,inefficient,and prone to accumulated ***,we propose the concept of a dual-point noncoaxial rotational Doppler effect(DNRDE)and demonstrate a one-shot detection technique to solve this *** on-demand synthetic orbital angular momentum(OAM)light beam impinges on a rotating scatterer surface,supporting dual-point rotational Doppler shifts,in which the information of the rotating axis is acquired by comparing these two frequency shifts with a prescribed *** existence of arbitrary dual-point Doppler shifts enables the one-time direct identification of rotating axis orientations,which is fundamentally inaccessible in single-point *** robust detection technique is compatible with generalised synthetic OAM light fields by utilising optical modal *** with traditional approaches,our DNRDE-driven detection approach exhibits a four-fold enhancement in measurement speed,higher energy efficiency,and superior accuracy with a maximal absolute measurement error of 2.23°.The proposed dual-point detection method holds great promise for detecting rotating bodies in various applications,such as astronomical surveys and industrial manufacturing.

关键词： Rotational Doppler effect Rotating axis orientations Real-time detection Orbital angular momentum optical vortices

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Distributionally robust optimization based chance-constrained energy management for hybrid energy powered cellular networks

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Digital Communications and Networks 2023年第3期9卷 797-808页

作者： Pengfei Du Hongjiang Lei Imran Shafique Ansari Jianbo Du Xiaoli Chu The Engineering Research Center of Intelligent Air-ground Integrated Vehicle and Traffic Control Ministry of EducationXihua UniversityChengdu610039China Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and TelecommunicationsChongqing400065China James Watt School of Engineering University of GlasgowGlasgowG128QQUK Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts and TelecommunicationsXi'an710121China Electronic and Electrical Engineering University of SheffieldSheffieldS102TNUK

Energy harvesting has been recognized as a promising technique with which to effectively reduce carbon emis-sions and electricity expenses of base ***,renewable energy is inherently stochastic and inter-mittent,imposing formidable challenges on reliably satisfying users'time-varying wireless traffic *** addition,the probability distribution of the renewable energy or users’wireless traffic demand is not always fully known in *** this paper,we minimize the total energy cost of a hybrid-energy-powered cellular network by jointly optimizing the energy sharing among base stations,the battery charging and discharging rates,and the energy purchased from the grid under the constraint of a limited battery size at each base *** solving the formulated non-convex chance-constrained stochastic optimization problem,a new ambiguity set is built to characterize the uncertainties in the renewable energy and wireless traffic demands according to interval sets of the mean and *** this ambiguity set,the original optimization problem is transformed into a more tractable second-order cone programming problem by exploiting the distributionally robust optimization ***,a low-complexity distributionally robust chance-constrained energy management algo-rithm,which requires only interval sets of the mean and covariance of stochastic parameters,is *** results of extensive simulation are presented to demonstrate that the proposed algorithm outperforms existing methods in terms of the computational complexity,energy cost,and reliability.

关键词： Cellular networks Energy harvesting Energy management Chance-constrained Distributionally robust optimization

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Session recommendation based on graph neural networks incorporating graph attention 4

Session recommendation based on graph neural networks incorp...

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4th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023

作者： Guo, Yalong Ling, Xiaoming Xiang, Yu Wang, Yaya Key Lab of Opto-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou730070 China National Engineering Research Center for Technology and Equipment of Environmental Deposition Lanzhou Jiaotong University Lanzhou730070 China School of logistics and transportation Central South University of Forestry and Technology Changsha410004 China

ISBN: (纸本)9781510666412

Session recommendation (RS) is a research focus and hotspot in the field of recommender systems in recent years. Previously, some traditional methods focus on sequence modeling based on user click sequences, but this approach may not be able to fully capture the complex transformation relationships between items. In recent years, graph neural session recommendation introduces session graph topology information to improve the accuracy of item and session feature representation, thus, improving the performance of session recommendation to a certain extent, in addition, this paper also uses graph attention aggregation neighbor nodes to obtain higher-order semantic relationships between items. Based on the item semantic features, the local attention mechanism is used to generate the session features, and finally, based on the item and session semantic features, this paper learns the click probability distribution of different items under a given session by cross-entropy loss. Extensive experiments are conducted on two publicly available and popular datasets, Yoochoose and Diginetica, and the experimental results show that the method has a higher recommendation accuracy. © 2023 SPIE.

关键词： Graph neural networks

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