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A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles

Journal of Microwaves, Optoelectronics and Electromagnetic Applications 2023年第2期22卷 298-312页

作者： Parada, D. Rego, C.G. Guevara, D. Navarro, A. Ramos, G.L. Oliveira, R. Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Av. Antônio Carlos 6627 MG Belo Horizonte Brazil Departament of Electronics Engineering Universidade Federal de Minas Gerais MG Belo HorizonteCEP 31270-901 Brazil Departament of Electricity and Electronics Universidad Francisco de Paula Santander Norte de Santander CúcutaCEP 540003 Colombia Departament of Information and Communication Technologies Universidad ICESI Cali Valle del CaucaCEP 760031 Colombia Departament of Telecommunications and Mechatronics Engineering Federal University of São João del-Rei MG Ouro BrancoCEP 36415-000 Brazil

This paper presents a radiopropagation algorithm based on a Ray Tracing (RT) technique that combines a modified multipath model for constant refractivity gradient profiles and the Uniform Theory of Diffraction (UTD). A novel formulation is proposed by the authors for calculation and ground-reflection analysis of ray paths depending on atmospheric refractivity. The algorithm introduced herein was evaluated in a mixed scenario and in two more realistic case studies, under conditions of constant refractivity gradient and lossy terrain profiles. Pathloss results are obtained and compared with Parabolic Equation (PE) numerical solution results at 2.0 GHz, 3.5 GHz and 5.4 GHz. In such conditions, the modified radiopropagation multipath algorithm with atmospheric refractivity introduced herein showed satisfactory results. © 2023 SBMO/SBMag.

关键词： Refraction

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Technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

arXiv

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arXiv 2023年

作者： Du, Hongyang Zhang, Ruichen Liu, Yinqiu Wang, Jiacheng Lin, Yijing Li, Zonghang Niyato, Dusit Kang, Jiawen Xiong, Zehui Cui, Shuguang Ai, Bo Zhou, Haibo Kim, Dong In The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China The School of Information and Communication Engineering University of Electronic Sciences and Technology of China Chengdu China The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Shenzhen China The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China School of Electronic Science and Engineering Nanjing University Jiangsu Nanjing210093 China The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of

Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across various applications. The ability to model complex data distributions and generate high-quality samples has made GDMs particularly effective in tasks such as image generation and reinforcement learning. Furthermore, their iterative nature, which involves a series of noise addition and denoising steps, is a powerful and unique approach to learning and generating data. This paper serves as a comprehensive tutorial on applying GDMs in network optimization tasks. We delve into the strengths of GDMs, emphasizing their wide applicability across various domains, such as vision, text, and audio generation. We detail how GDMs can be effectively harnessed to solve complex optimization problems inherent in networks. The paper first provides a basic background of GDMs and their applications in network optimization. This is followed by a series of case studies, showcasing the integration of GDMs with Deep Reinforcement Learning (DRL), incentive mechanism design, Semantic Communications (SemCom), Internet of Vehicles (IoV) networks, etc. These case studies underscore the practicality and efficacy of GDMs in real-world scenarios, offering insights into network design. We conclude with a discussion on potential future directions for GDM research and applications, providing major insights into how they can continue to shape the future of network optimization. © 2023, CC BY.

关键词： Reinforcement learning

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Enabling Invariant Models to Describe Time-Varying Dynamics: A Case Study ⁎

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IFAC-PapersOnLine 2021年第14期54卷 1-6页

作者： Petrus E.O.G.B. Abreu Victor D.R. Dreke Luis A. Aguirre Claudio Garcia Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Av. Antônio Carlos 6627 31270-901 Belo Horizonte MG Brazil Control Systems Group Eindhoven University of Technology 5600 MB Eindhhover The Netherlands Department of Telecommunications and Control Engineering Escola Politécnica da Universidade de São Paulo Av. Prof. Luciano Gualberto 158 São Paulo SP Brazil

This work addresses the problem of identifying nonlinear and time-varying behaviors using Nonlinear polynomial AutoRegressive models with eXogenous inputs (NARX). Two approaches are investigated. The first one is based on a recursive algorithm with an adaptive forgetting factor to update the parameters of black-box models. The second approach aims to include a certain class of regressors to identify invariant models, i.e. with constant parameters, to describe such behaviors. An experimental case study of a pH neutralization process is carried out, which indicated the presence of behaviors that resemble varying dynamics features. Time-invariant models with a specific class of regressors are proposed and seem to be a promising way to deal with such dynamics.

关键词： Gray-box identification pH system NARX model varying dynamics

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The QoE assessment model for 5G mobile technology

The QoE assessment model for 5G mobile technology

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2017 International Conference on Broadband Communication, Wireless Sensors and Powering, BCWSP 2017

作者： Andriyanto, Fery Suryanegara, Muhammad Graduate Program of Management of Telecommunications Department of Electrical Engineering Universitas Indonesia Indonesia

ISBN: (纸本)9781538628324

This paper aims to develop the assessment model of Quality of Experience (QoE) for the upcoming 5G mobile technology. The 5G usage scenarios have been developed by ITU to facilitate mobile capabilities that will be needed in the future, namely Enhanced Mobile Broadband, Ultra-reliable and low latency communications, and Massive Machine type communications. The model links the technical concern of Quality of Service (QoS) to the relevant 5G service experience on each of 5G scenarios. It utilizes the crowdsourcing service quality assessment on the three characteristics. First, it signifies the 5G service applications underlying enhanced multimedia broadband scenario which is differentiated by location-related two cases, i.e. the hotspot area and wide area coverage. Second, the model signifies the 5G service underlying the ultra-reliable and low-latency communications which is focusing on QoS parameters, i.e. latency, reliability and availability. Third, the developed model emphasizes energy efficiency implication on the scenario of massive-machine type communications. Finally, the model can be used by mobile operators as a reference guide to asses and also to improve the quality of experience when the values are below expectation. © 2017 IEEE.

关键词： Energy efficiency

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An Electronic Drive for a Switched Reluctance Motor Using a DSC

An Electronic Drive for a Switched Reluctance Motor Using a ...

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Brazilian Power Electronics Conference, COBEP

作者： Brayan Sobral da Fonseca José Andrés Santisteban Graduate Program in Electrical Engineering COPPE - Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Graduate Program in Electrical and Telecommunications Engineering - PPGEET Universidade Federal Fluminense Niterói Brazil

ISBN: (数字)9781728141800

ISBN: (纸本)9781728141817

With the technological advances using electronic circuits based on microprocessors, the drive and control of electrical machines in electromechanical systems have become increasingly efficient. In this paper, for an axial magnetic flux reluctance motor, for which it is not possible to supply its energy directly from the utility, the developing of an electronic drive and its control is described. Unlike other alternatives, a development module, named DSC (Digital Signal Controller), which is based on a modern microcontroller, allows the reduction of discrete components, like operational amplifiers, and wires. The workbench comprises a three-phase power converter that is equipped with high-speed semiconductor switches, current sensors, voltage sensors and an USB interface to allow communication with a computer. The effectiveness of this approach is verified through open loop and closed loop experimental tests, where the waveforms of the trigger pulses generated by the DSC, the motor currents and their speed were monitored.

关键词： Rotors Reluctance motors Sensors Windings Stator windings Stator cores

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New perspectives of a 5G operating model

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Journal of Physics: Conference Series 2020年第1期1502卷

作者： Muhammad Suryanegara Graduate Program in Telecommunications Management Department of Electrical Engineering Depok Universitas Indonesia

The way 5G operators manage infrastructure, enterprise and customers will be radically different compared to preceding generations. This paper aims to provide new perspectives on the 5G operating model by presenting a visual guide on how mobile network operators should deliver value to their prospective 5G customers. The model presented enriches the eTOM framework by elaborating on the implications of virtual network operations, the consequences of an mmWave band, the value of the non-human customer, the security concerns, the role of the content provider in a new ecosystem, and the anticipation of the next generation technological platform.

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Channel Characterization on Vehicle to Infrastructure Scenarios in 5.8 GHz

Channel Characterization on Vehicle to Infrastructure Scenar...

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IEEE MTT-S Latin America Microwave Conference (LAMC)

作者： F. J. Oliveira P. V. G. Castellanos L. J. Matos W. D. T. Meza L. A. R. Silva Mello Graduate Program in Electrical and Telecommunications Engineering Fluminense Federal University Niterói Brazil Professional Academic School of Electronics and Telecommunicatons Engineering Universidad ALAS Peruanas Lima Peru Center of Telecommunication Pontifical Catholic University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9781538673348;9781538673331

This paper deals with the narrowband and wideband characterization of a vehicle-to-infrastructure channel at 5.8 GHz frequency for short distances. Measurements were carried out in Niterói, Rio de Janeiro, Brazil and the data were processed in order to analyze the coverage of the signal and some channel dispersion parameters. For such results, prediction models were fitted to the data besides the small-scale fading statistics and the analysis of mean and delay spread. The better fit to narrowband data was Log-Distance model. Rice distribution showed the best adherence to the small-scale variability and the maximum delay spread was 1.65 microseconds.

关键词： Delays Receivers Narrowband Wideband Transmitters Antenna measurements Antennas

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Supporting differentiated resilience classes in multilayer networks 12

Supporting differentiated resilience classes in multilayer n...

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12th International Conference on the Design of Reliable Communication Networks, DRCN 2016

作者： Alashaikh, Abdulaziz Tipper, David Gomes, Teresa Graduate Telecommunications and Networking Program University of Pittsburgh PittsburghPA15260 United States Department of Electrical and Computer Engineering University of Coimbra INESC Coimbra Coimbra3030-290 Portugal

ISBN: (纸本)9781467384964

The concept of providing differentiated classes of resilient services over communications networks has received a lot of attention in the literature. A number of proposals tried to address the problem by provisioning different classes of services with different protection schemes. However, most of these works are applied to a single layer and lack cross layer coordination in multilayer scenarios. In addition, there is an increasing need for supporting services with very high resilience requirements over future communications networks. This, however, has to be done in a cost efficient manner and without over-engineering the network. In this paper, we introduce a novel approach that simplifies the whole design and achieves both high resilience and differentiation. Our approach, utilizes the spine concept idea of embedding a subnetwork at the physical layer with comparatively high availability link and node values [1]. This lays a foundation for differentiation between multiple classes of flows. Then, cross layer mapping and spine-aware routing are performed in a way that transfers this differentiation capability to the upper layer network and flows. We provide two joint routing-mapping optimization formulations and evaluate their performance in a multilayer scenario. © 2016 IEEE.

关键词： Mapping

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TURNING INDUCTION MOTORS IN FOUR POLES ACTIVE MAGNETIC BEARINGS WITH COUPLED FLUXES

TURNING INDUCTION MOTORS IN FOUR POLES ACTIVE MAGNETIC BEARI...

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Brazilian Power Electronics Conference

作者： Christian M. Tshizubu José Andrés Santisteban Graduate Program on Mechanical Engineering (PGMEC) Universidade Federal Fluminense Niterói - Rio de Janeiro Brazil Graduate Program on Electrical and Telecommunications Engineering (PPGEET) Universidade Federal Fluminense Niterói Rio de Janeiro Brazil

Nowadays, active magnetic bearings (AMBs) can be found operating in several applications. The fabrication of these devices can be considered a mature issue as a consequence of several decades of research and developing. Nevertheless, the related cost of the construction of its parts continues to be high. This is particularly true as the commissioning requires previous information like the machine shaft dimensions where these devices are going to be working. Even more, when there is not an automatic tool to mount their windings, this work continues to be manually. With this in mind, the possibility to use conventional induction motors to reduce the cost of active magnetic bearings is presented in this work. Different to the conventional (AMBs), the magnetic fluxes distribution is based in the coupled one structure as found in a four poles conventional AC motor with distributed windings. Through Finite Elements analysis, a two phase and a three phase cases are considered. Experimental results, using the two phase version, validate this approach.

关键词： Active Magnetic Bearings Coupled magnetic Fluxes Induction Motors Radial Displacement Controller

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