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Integration of visible light communication and internet of things for future communication

AIP Conference Proceedings 2022年第1期2519卷

作者： B. Anitha Vijayalakshmi J. Seetha P. Gandhimathi R. M. Bommi 1Department of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu India 2Department of Computer Science SRM Institute of Science and Technology SRMIST Ramapuram Campus Chennai Tamil Nadu India 3Kings Engineering College Department of Physics Chennai Tamil Nadu India 4Centre for System Design Chennai Institute of Technology Chennai Tamil Nadu India

The paper focuses on the need for optical communication in future eras. Spatial reprocess cannot meet the present conditions with increasing traffic demand in Radio Frequency (RF) communication. The frequency spectrum in traditional methods of wireless communication has been saturated. Visible Light Communication (VLC) and Internet-of-Things (IoT) integration will open up many indoor applications in the near future. Light Emitting Diodes (LEDs) and Photodetectors (PDs) in VLC support reliable uplink and downlink for Device-to-Device communication indoors. There is emergence of the energy-efficient variant of the VLC due to the shortage of energy budget in the upcoming era. The VLC works well in low illuminance. Energy conservation is supportedby consuming much lower energy through the usage of LEDs in *** can be achieved through the hybrid of single and multicarrier modulation. The work is about to discuss dimming techniques that support VLC in low illuminance and multicarrier modulation, which supports high data rate transmission.

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An Exoskeleton BCI System for Stroke Rehabilitation Using Multi-modality Training Mode

An Exoskeleton BCI System for Stroke Rehabilitation Using Mu...

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International Automatic control Conference

作者： Kai-Hsiang Su Chiao-Hsin Chen Chia-Hsin Chen Yong-Liang Zhang Li-Wei Ko Institute of Biological Science and Technology National Yang Ming Chiao Tung University (former National Chiao Tung University) Hsinchu Taiwan Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B) College of Biological Science and Technology National Yang Ming Chiao Tung University (former National Chiao Tung University) Hsinchu Taiwan Institute of Molecular Medicine and Bioengineering National Yang Ming Chiao Tung University (former National Chiao Tung University) Hsinchu Taiwan Rehabilitation Department of Kaohsiung Medical University Chung-Ho Memorial Hospital Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University (former National Chiao Tung University) Hsinchu Taiwan Department of Electrical and Computer Engineering Brain Research Center National Yang Ming Chiao Tung University (former National Chiao Tung University) Hsinchu Taiwan

With the advent of the global aging era, the impact of stroke on humans is continuously increasing. Therefore, new therapeutic approaches to enhance patient recovery are receiving growing attention. Stroke is a severe neurological disorder that causes brain damage, requiring extended periods of rehabilitation for patients to return to normal life. Currently, common clinical methods largely rely on traditional passive limb rehabilitation, primarily targeting peripheral nerve training. Nowadays, an increasing number of people are recognizing the importance of post-stroke neuroplasticity. This study aims to activate patients' central nervous system and proposes a brain-machine interface (BCI) exoskeleton system based on human cognition. By designing three cognitive brainwave training models, including an attention-based standing-up model detecting θ-band power decrease, a relaxation-based sitting-down model detecting α-band power increase, and a walking model detecting MRCP, patients can actively control lower limb exoskeleton movement using *** study provides cross-validation accuracy through both normal subjects and stroke patients, with accuracies of 87.13±9.38 and 80.83±9.68, respectively. Envisioning a rehabilitation system guided by human cognition, our team has developed an intuitive BCI exoskeleton system.

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Numerical investigations of MHD Casson nanofluid flow over a wedge through porous medium

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AIP Conference Proceedings 2021年第1期2375卷

作者： M. Radha Madhavi W. Sridhar Puvvada Nagesh 1Department of Mathematics Koneru Lakshmaiah Education Foundation Vaddeswaram AP India-522502 2Department of Computer Science Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India-522502

The aim of current Paper is to examine the effect/result of ‘heat source’ parameter over a wedge through porous-medium for electrically-conducting fluid flow for a magneto hydrodynamic Casson nanofluid with activation energy. The influence/impact of ‘second law’ analysis for electrically conducting fluid(s) with chemical-reaction also investigated. Dimension-less ordinary differential equations(ODE) are obtained/derived from the highly non- linear PDEs by using similarity transformations. The ‘Runge- Kutta –Fehlberg with shooting technique’ is utilized to solve remodelled ODEs numerically. The effect(s) of the ‘physical parameter’ on velocity, temperature and concentration are extensively discussed through several plots. Numerical result(s) for Nusselt number, skin friction coefficient & ‘Sherwood number’ for various parameter(s) are computed.

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Ontological representation of image processing methods for coronal hole material segmentation centered on physical restrains using multi-modal scheme

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AIP Conference Proceedings 2022年第1期2405卷

作者： R. Geetha T. Manimegalai S. Ramesh T. M. Amirthalakshmi 1Department of Information Technology Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India 2Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India 3Department of Electronics and Communication Engineering Sri Shakthi Institute of Engineering and Technology Coimbatore-641062 Tamilnadu India 4Department of Electronics and Communicxation Engineering Rajalakshmi institute of technology Tamilnadu Chennai India

The manuscripts demonstrates the consequences on the way to advance in addition authenticate image processing techniques intended for deciding the finest physical models centered happening on solar image surveillances. This technique comprises of choosing the physical models centered proceeding on by means of coronal holes extracted from the images. Eventually, the objective is on the way to custom physical models in order to forecast geomagnetic storms. For coronal hole segmentation it is centered on physical restraints progressing a multi-modal scheme which customs segmentation maps commencing from three diversified methods in order to initialize a level-set technique which progresses the preliminary coronal hole segmentation towards the magnetic boundary. These coronal holes are clustered, mapped and validated. The suggested multi-modal segmentation technique vitally outstripped SegNet, U-net, Henney- Harvey, and FCN by giving precise boundary recognition. This suggested techniques gives 95.5% map classification precisely. An ontological representation IPCHSonto of the image processing method for Coronal Hole Segmentation have been built using protégé tool. This ontology is précised in formal languages by means of a well-defined semantics. Ontologies remain built upon a segmented understanding within a community.

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Lessening stress and anxiety-related behaviors by means of AI-driven drones for aromatherapy 6

Lessening stress and anxiety-related behaviors by means of A...

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6th Italian Workshop on Artificial Intelligence and Robotics, AIRO 2019

作者： Capizzi, Giacomo Napoli, Christian Russo, Samuele Woźniak, Marcin Department of Electrical Electronics and Informatics Engineering University of Catania Viale Andrea Doria 6 Catania CT95125 Italy Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 Roma RM00185 Italy University of Catania Piazza Università 2 Catania CT95124 Italy Specialization School in Psychotherapy C.T.R. Via Galermo 105 Catania CT95123 Italy Institute of Mathematics Silesian University of Technology Kaszubska 23 Gliwice44-100 Poland

Stress and anxiety are part of the human mental process which is often unavoidably yield by circumstances and situations such as waiting for a flight at the airport gate, hanging around before an exam, or while in an hospital waiting room. In this work we devise a decision system for a robotic aroma diffusion device designed to lessen stress and anxiety-related behaviors. The robot is intended as designed for deployments in closed environments that resembles the aspect and structure of a waiting room with different chairs where people sit and wait. The robot can be remotely driven by means of an artificial intelligence based on Radial Basis Function Neural Networks classifiers. The latter is responsible to recognize when stress or anxiety levels are arising so that the diffusion of specific aromas could relax the bystanders. We make use of thermal images to infer the level of stress by means of an ad hoc feature extraction approach. The system is prone to future improvements such as the refinement of the classification process also by means of accurate psychometric studies that could be based on standardized tests or derivatives. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Feature extraction

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Smart garbage segregation for the smart city management systems

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AIP Conference Proceedings 2021年第1期2317卷

作者： T. S. Arulananth M. Baskar R. Divya Sree P. Sai Teja T. Santhosh Kumar 1Department of Electronics and Communication Engineering MLR Institute of Technology Hyderabad -43 Telangana India 2Department of Computer Science and Engineering SRM Institute of Science and Technology Kattankulathur Chengalpattu Chennai. Tamilnadu India-603203

Rapid raise in urbanization and population has led to the accumulation of huge amount of garbage throughout the world which became a serious problem that requires proper management and recycling. Proper recycling of garbage can be done easily if it is segregated prior to the recycling process. This project aims to present a smart garbage segregation system which segregates garbage into its respective type (wet waste, dry waste, metallic waste etc.) using different types of sensors and Arduino controller which takes care of all the task. The entire task is performed on a conveyor belt having multiple sections depending on number of types of wastes one wants to segregate. Waste is detected and directed to the respective slot or section for segregation. Then various piles of waste are created which are moved to their respective recycling units without much human effort.

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Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models

arXiv

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arXiv 2022年

作者： Aubry, Jean-Francois Bates, Oscar Boehm, Christian Pauly, Kim Butts Christensen, Douglas Cueto, Carlos Gélat, Pierre Guasch, Lluis Jaros, Jiri Jing, Yun Jones, Rebecca Li, Ningrui Marty, Patrick Montanaro, Hazael Neufeld, Esra Pichardo, Samuel Pinton, Gianmarco Pulkkinen, Aki Stanziola, Antonio Thielscher, Axel Treeby, Bradley Van't Wout, Elwin Physics for Medicine Paris INSERM U1273 ESPCI Paris PSL University CNRS UMR 8063 France Department of Bioengineering Imperial College London Exhibition Road LondonSW7 2AZ United Kingdom Institute of Geophysics ETH Zürich Sonneggstrasse 5 Zürich8092 Switzerland Department of Radiology Stanford University StanfordCA United States Department of Biomedical Engineering Department of Electrical and Computer Engineering University of Utah United States Department of Surgical Biotechnology Division of Surgery and Interventional Science University College London LondonNW3 2PF United Kingdom Earth Science and Engineering Department Imperial College London London United Kingdom Centre of Excellence IT4Innovations Faculty of Information Technology Brno University of Technology Bozetechova 2 Brno612 00 Czech Republic Graduate Program in Acoustics The Pennsylvania State University University Park PA16802 United States Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill North Carolina State University NC United States Department of Electrical Engineering Stanford University StanfordCA United States Zurich Switzerland Laboratory for Acoustics / Noise control Empa Swiss Federal Laboratories for Materials Science and Technology Dubendorf Switzerland Zurich Switzerland Radiology and Clinical Neurosciences Departments Cumming School of Medicine University of Calgary Canada Department of Applied Physics University of Eastern Finland Kuopio70211 Finland Department of Medical Physics and Biomedical Engineering University College London Gower Street LondonWC1E 6BT United Kingdom Technical University of Denmark Denmark Danish Research Center for Magnetic Resonance Copenhagen University Hospital Hvidovre Denmark Institute for Mathematical and Computational Engineering School of Engineering and Faculty of Mathematics Pontificia Universidad Catolica de Chile Santiago Chile

Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull distortions. To allow intercomparison between the different modeling tools and techniques used by the community, an international working group was convened to formulate a set of numerical benchmarks. Here, these benchmarks are presented, along with intercomparison results. Nine different benchmarks of increasing geometric complexity are defined. These include a single-layer planar bone immersed in water, a multi-layer bone, and a whole skull. Two transducer configurations are considered (a focused bowl and a plane piston), giving a total of 18 permutations of the benchmarks. Eleven different modeling tools are used to compute the benchmark results. The models span a wide range of numerical techniques, including the finite-difference time-domain method, angular-spectrum method, pseudospectral method, boundary-element method, and spectral-element method. Good agreement is found between the models, particularly for the position, size, and magnitude of the acoustic focus within the skull. When comparing results for each model with every other model in a cross comparison, the median values for each benchmark for the difference in focal pressure and position are less than 10% and 1 mm, respectively. The benchmark definitions, model results, and intercomparison codes are freely available to facilitate further comparisons. Copyright © 2022, The Authors. All rights reserved.

关键词： Bone

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Erratum: “Ytterbium-implanted photonic resonators based on thin film lithium niobate” [J. Appl. Phys. 128, 084302 (2020)]

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Journal of Applied Physics 2022年第11期131卷

作者： Dongmin Pak Haechan An Arindam Nandi Xiaodong Jiang Yi Xuan Mahdi Hosseini 1Birck Nanotechnology Center School of Electrical and Computer Engineering Purdue University West Lafayette Indiana 47907 USA 2Department of Physics and Astronomy Purdue University West Lafayette Indiana 47907 USA 3School of Medicine IUPUI Indianapolis Indiana 46202 USA

The authors would like to add an affiliation for authors of the original version of the published article.1 Affiliation with the department of Physics and Astro

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An application of the frequency-based matrix converter used in a wind energy conversion system using a synchronous generator with synchronous variable-speed, pulse width modulation technique

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AIP Conference Proceedings 2022年第1期2519卷

作者： V. Senthil Nayagam E. Fantin Irudaya Raj A. Sasireka M. Kumarasamy S. K. Dinesh Kumar Ram Subbiah G. Pavithra 1Department of Electrical and Electronics Engineering College Sathyabama Institute of Science and Technology Tamilnadu India 2Department of Electrical and Electronics Engineering Dr. Sivanthi Aditanar College of Engineering Tamilnadu India 3Department of Mathematics PSNA College of Engineering and Technology Dindigul Tamilnadu India 4Department of Computer Science College of Engineering and Technology Wollega University Nekemte Ethopia 5Department of Mechanical Engineering Sri Sairam Engineering Chennai Tamilnadu India 6Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India 7Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering (DSCE) Bangalore India

An alternative source is growing in popularity with increasing global energy use and perceivable environmental degradation everywhere in the universe. The growth of wind farms necessitates system stability analysis, which incorporates dynamical distributed generation models. Doubly fed induction machines are widely used in the context of turbines of power higher than 1MW. However, direct-drive wind turbines that use synchronous generator principles have gained significant market penetration. This investigation implements a synchronous generator model using a frequency-based matrix converter with the assistance of an SVPWM method, which measures stator as grid voltage/current and analyses total THD. Converting the fluctuating voltages to something like a stable value using a frequency-based method is done with a matrix converter.

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Diabatic Quantum Annealing for the Frustrated Ring Model

arXiv

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arXiv 2022年

作者： Côté, Jeremy Sauvage, Frédéric Larocca, Martín Jonsson, Matías Cincio, Lukasz Albash, Tameem Theoretical Division Los Alamos National Laboratory Los AlamosNM87545 United States Institut Quantique Département de Physique Université de Sherbrooke SherbrookeQCJ1K 2R1 Canada Center for Nonlinear Studies Los Alamos National Laboratory Los AlamosNM87545 United States Department of Physics Carnegie Mellon University PittsburghPA15217 United States Department of Electrical and Computer Engineering University of New Mexico AlbuquerqueNM87131 United States Department of Physics and Astronomy Center for Quantum Information and Control University of New Mexico AlbuquerqueNM87131 United States

Quantum annealing is a continuous-time heuristic quantum algorithm for solving or approximately solving classical optimization problems. The algorithm uses a schedule to interpolate between a driver Hamiltonian with an easy-to-prepare ground state and a problem Hamiltonian whose ground state encodes solutions to an optimization problem. The standard implementation relies on the evolution being adiabatic: keeping the system in the instantaneous ground state with high probability and requiring a time scale inversely related to the minimum energy gap between the instantaneous ground and excited states. However, adiabatic evolution can lead to evolution times that scale exponentially with the system size, even for computationally simple problems. Here, we study whether non-adiabatic evolutions with optimized annealing schedules can bypass this exponential slowdown for one such class of problems called the frustrated ring model. For sufficiently optimized annealing schedules and system sizes of up to 39 qubits, we provide numerical evidence that we can avoid the exponential slowdown. Our work highlights the potential of highly-controllable quantum annealing to circumvent bottlenecks associated with the standard implementation of quantum annealing. Copyright © 2022, The Authors. All rights reserved.

关键词： Ground state

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