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HM-EH-RT:hybrid multimodal energy harvesting from rotational and translational motions

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International Journal of Smart and Nano Materials 2013年第4期4卷 257-285页

作者： Miles Larkin Yonas Tadesse Department of Mechanical engineering Erik Jonsson School of Engineering and Computer ScienceThe University of Texas at DallasRichardsonTX 75080USA

This paper presents a novel hybrid multimodal energy harvesting device consisting of an unbalanced rotary disk that supports two transduction methods,piezoelectric and electromagnetic.The device generates electrical energy from oscillatory motion either orthogonal or parallel to the rotary axis to power electronic devices.Analytical models for the electromagnetic and piezoelectric systems were developed to describe the mechanical and electrical behavior of the device.From these models,numerical simulations were performed to predict power generation capabilities.The device was fabricated,and several components were optimized experimentally.The energy harvester was then experimentally characterized using a modal shaker in several different orientations.The device generates a maximum RMS power output of 120 mW from the electromagnetic system at 5 Hz and 0.8 g,and 4.23 mW from the piezoelectric system at 20.2 Hz and 0.4 g excitation acceleration.The device is 180 mm in diameter and 45 mm thick including the rotor height.Further size optimization will produce an energy harvester capable of being used as a wearable device to power mobile electronics for multiple applications.

关键词： energy harvesting piezoelectric electromagnetic wearable device multimodal

750Mb/s monochromatic LED-based real-time visible light communication system employing a low-complexity cascaded post-equalizer

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Chinese Optics Letters 2016年第12期14卷 50-54页

作者：骆加彬唐义 Huiping Jia 朱庆炜薛唯 Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education of China school of Optoelectronics Beijing Institute of Technology Department of Materials science and engineering Erik Jonsson School of Engineering and Computer ScienceUniversity of Texas at Dallas

We experimentally demonstrate a 750 Mb/s real-time visible light communication（VLC） system based on non-return-to-zero on–off keying modulation by employing single commercially available monochromatic lightemitting diodes. To enhance the 3-d B bandwidth of the VLC link, we propose a low-complexity cascaded post-equalizer based on NPN transistors. With two different frequency-selecting networks in our post-equalizer,the highest achieved 3-d B bandwidth of the VLC link is 370 MHz. The highest achieved data rate is 750 Mb/s at a communication distance of 170 cm with a bit error rate below 1 × 10^（-6）, which is far below the forward error correction limit（3.8 × 10^（-3））. Based on our monochromatic VLC system, a wavelength-division multiplexing VLC system could be designed with a higher data rate.

关键词： cascaded visible multiplexing bandwidth commercially selecting correction amplifier compensate return

Cooperative visibility maintenance in SE（3） for multi-robot-networks with limited field-of-view sensors

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Control Theory and Technology 2017年第4期15卷 246-257页

作者： Hasan A. Poonawala Mark W. Spong Institute for Computational engineering & sciences University of Texas Austin U.S.A. erik jonsson school of engineering & computer science University of Texas at Dallas Richardson U.S.A.

Coordination of motion between multiple robots requires the robots to sense their relative poses. Common sensors depend on maintaining a line-of-sight between the sensor and the object being sensed. When the robots move relative to one another, they must coordinate their motions to ensure that these lines-of-sight are preserved. We propose a control method to preserve desired lines-of-sight in a multi-robot system where each robot has configuration space SE（3）. A key feature of the control method is its ability to reject persistent bounded disturbances, enabling its use alongside additional control tasks. We demonstrate the effectiveness of the edge-preserving control in simulations involving additional input velocities that tend to break the edges.

关键词： Multi-robot coordination decentralized control graph theoretic control

Chaos and Nonlinear Feedback Control of the Arch Micro-Electro-Mechanical System

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Journal of Systems science & Complexity 2018年第6期31卷 1510-1524页

作者： LUO Shaohua LI Shaobo TAJADDODIANFAR Farid Key Laboratory of Advanced Manufacturing Technology Ministry of EducationGuizhou UniversityGuiyang 550025China Schbol of Mechanical engineering Guizhou UniversityGuiyang 550025China. Department of Mechanical engineering Erik Jonsson School of Engineering and Computer ScienceThe Uni-versity of Texas at DallasRichardson TX 75080USA.

This paper addresses a nonlinear feedback control problem for the chaotic arch micro- electro-mechanical system with unknown parameters,immeasurable states and partial state-constraint subjected to the distributed electrostatic actuation.To reflect inherent properties and design controller, the phase diagrams,bifurcation diagram and Poincare section are presented to investigate the nonlinear dynamics.The authors employ a symmetric barrier Lyapunov function to prevent violation of constraint when the arch micro-electro-mechanical system faces some limits.An RBF neural network system integrating with an update law is adopted to estimate unknown function with arbitrarily small error. To eliminate chaotic oscillation,a neuro-adaptive backstepping control scheme fused with an extended state tracking differentiator and an observer is constructed to lower requirements on measured states and precise system model.Besides,introducing an extended state tracking differentiator avoids repeated derivative for the virtual control signal associated with conventional backstepping.Finally,simulation results are presented to illustrate feasibility of the proposed scheme.

关键词： Arch micro-electro-mechanical system chaos suppression Neuro-adaptive backstepping nonlinear feedback control uncertainty.

基于联合故障概率的频谱灵活光网络生存性业务认知算法(英文)

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China Communications 2013年第4期10卷 38-48页

作者：张杰陈伯文赵永利 Jason P.Jue 顾畹仪 State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications erik jonsson school of engineering and computer science The University of Texas at Dallas

This paper addresses the problem of survivable traffic assignment with failure probability requirement in flexible bandwidth optical networks. We describe a Survivable Traffic Cognition (STC) algorithm with joint failure probability. Survivable Traffic Assignment (STA) algorithm and Conventional Traffic Assignment (CTA) algorithm are added to illustrate the effectiveness of our proposed STC. We investigate the effect of joint failure probability on blocking probability, spectral utilization ratio, average joint failure probability, and the average hops. Simulation results show that our proposed STC not only achieves better performance in terms of blocking probability and spectral utilization ratio than CTA and STA, but also does not cause higher average joint failure probability or larger average hops compared with STA. As a result, STC makes the best use of spectral resources and does not cause large average joint failure probability.

关键词：失效概率分配算法光网络交通存活带宽频谱利用率阻塞概率

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Preface

Journal of computer science & Technology 2011年第3期26卷 373-374页

作者： Edwin Hsing-Mean Sha Department of computer science Erik Jonsson School of Eng.& C.S.The University of Texas at Dallas

Multi-core processor brings a major technical innovation in computing hardware. The leap from single-core to multi-core technology has permanently altered the concept about computing. Embedded devices with multi-core technology will rapidly spread throughout the world, and the shift from single-core to multi-core posts a lot of challenges. This special section aims to address some of these challenges by including three invited papers and six regular papers.

关键词： SysML Preface

Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts

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science China(Information sciences) 2021年第1期64卷 5-78页

作者： Xiaohu YOU Cheng-Xiang WANG Jie HUANG Xiqi GAO Zaichen ZHANG Mao WANG Yongming HUANG Chuan ZHANG Yanxiang JIANG Jiaheng WANG Min ZHU Bin SHENG Dongming WANG Zhiwen PAN Pengcheng ZHU Yang YANG Zening LIU Ping ZHANG Xiaofeng TAO Shaoqian LI Zhi CHEN Xinying MA Chih-Lin I Shuangfeng HAN Ke LI Chengkang PAN Zhimin ZHENG Lajos HANZO Xuemin (Sherman) SHEN Yingjie Jay GUO Zhiguo DING Harald HAAS Wen TONG Peiying ZHU Ganghua YANG Jun WANG erik G.LARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN Zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue GAO H.Vincent POOR Gerhard P.FETTWEIS Ying-Chang LIANG Department of Electrical and computer engineering University of Waterloo Global Big Data Technologies Centre (GBDTC) University of Technology Sydney school of Electrical and Electronic engineering The University of Manchester LiFi Research and Development Centre Institute for Digital CommunicationsSchool of EngineeringThe University of Edinburgh Huawei Technologies Canada Co. Ltd. Huawei Technologies Department of Electrical engineering (ISY) Link?ping University Institute of Electronics Communications & Information Technology (ECIT)Queen's University Belfast State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast University school of Electrical and computer engineering Georgia Institute of Technology National Mobile Communications Research Laboratory School of Information Science and EngineeringSoutheast University 5G Innovation Centre University of Surrey Princeton University Vodafone Chair Mobile Communications Systems Technische Universit?t Dresden Center for Intelligent Networking and Communications (CINC) University of Electronic Science and Technology of China (UESTC) Purple Mountain Laboratories Shanghai Institute of Fog Computing Technology (SHIFT) ShanghaiTech University Research Center for Network Communication Peng Cheng Laboratory State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications National engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunications National Key Laboratory of science and Technology on Communications University of Electronic Science and Technology of China (UESTC) China Mobile Research Institute school of Electronics and computer science University of Southampton

The fifth generation(5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability,and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation(6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle(UAV) communication networks, thus achieving a space-airground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6GHz, millimeter wave(mmWave), terahertz(THz),and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence(AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable faster and further communications to the extent t

关键词： 6G vision network architecture air interface and transmission technologies space-air-ground-sea integrated network all spectra artificial intelligence network security.

Analysis of Optical Cross-Connects and Beam Splitters Using Beam Propagation Method

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Analysis of Optical Cross-Connects and Beam Splitters Using ...

Inverse Ising techniques to infer underlying mechanisms from data

1999 International Conference on Computational Electromagnetics and Its Applications(ICCEA’99)

作者： An Ge Lakshman S.Tamil C.D.Cantrell Broadband Communications Laboratory Erik Jonsson School of Engineering and Computer Science University of Texas at DallasRichardsonTX 75083-0688

＜正＞A 4×4 cross-connect and a 1×8 power splitter based on self-imaging waveguides are analyzed using beam propagation method.The cross-talk levels in cross-connect and power levels at the output of power splitter ...

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Chinese Physics B 2020年第8期29卷 1-23页

作者：曾红丽 erik Aurell school of science New Energy Technology Engineering Laboratory of Jiangsu ProvinceNanjing University of Posts and TelecommunicationsNanjing 210023China Nordita Royal Institute of Technologyand Stockholm UniversitySE-10691 StockholmSweden KTH-Royal Institute of Technology AlbaNova University CenterSE-10691 StockholmSweden Faculty of Physics Astronomy and Applied Computer ScienceJagiellonian University30-348 KrakowPoland

As a problem in data science the inverse Ising(or Potts)problem is to infer the parameters of a Gibbs-Boltzmann distributions of an Ising(or Potts)model from samples drawn from that distribution.The algorithmic and computational interest stems from the fact that this inference task cannot be carried out efficiently by the maximum likelihood criterion,since the normalizing constant of the distribution(the partition function)cannot be calculated exactly and efficiently.The practical interest on the other hand flows from several outstanding applications,of which the most well known has been predicting spatial contacts in protein structures from tables of homologous protein sequences.Most applications to date have been to data that has been produced by a dynamical process which,as far as it is known,cannot be expected to satisfy detailed balance.There is therefore no a priori reason to expect the distribution to be of the Gibbs-Boltzmann type,and no a priori reason to expect that inverse Ising(or Potts)techniques should yield useful information.In this review we discuss two types of problems where progress nevertheless can be made.We find that depending on model parameters there are phases where,in fact,the distribution is close to Gibbs-Boltzmann distribution,a non-equilibrium nature of the under-lying dynamics notwithstanding.We also discuss the relation between inferred Ising model parameters and parameters of the underlying dynamics.

关键词： inverse Ising problem kinetic Ising model statistical genetics fitness reconstruction