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A feed forward based smart link management scheme for future generation network 4

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A feed forward based smart link management scheme for future...

4th IEEE International Conference on Recent Advances in Information Technology, RAIT 2018

作者： Padaganur, Satyanarayan K. Mallapur, Jayashree d. Department of Electronics and Communication Engineering B.L.D.E.A's Dr. P.G. Halakatti CET Vijayapur Karnataka India Department of Electronics and Communication Basaveshwar Engineering College Bagalkot Karnataka India

ISBN: (纸本)9781538630396

Future generation network is a 4G and 4G network extension that provides higher data rate by combining multiple technologies and channels through a demand based selection of the appropriate one. This implements an evolved node base station (eNB). The Integrated eNB's in future generation network are responsible for seamless switching between different technologies and channels. Such a switching decision is often affected by several parameters like available bandwidth, desired load, inter channel interference, available signal to noise ratio, fading, downlink power and so on. Regular switching between channels result in waste of a portion of bandwidth in control signal whereas delayed switching results in low packet delivery ratio and in turn low data rate. Hence, an optimal solution is desired to maintain high data rate under scalable future network. In this work, we propose an optimal smart link management (SlM) and power allocation using a Feed Forward Neural Network based machine learning framework for channel condition classification. The system is trained with probe packets under controlled conditions. The eNB nodes then manage the channel resources based on resource constraints during communication of performance parameters. Results shows that the proposed system improves effective throughput, packet delivery ratio, power consumption and handoff latency in comparison with conventional linear techniques. © 2018 IEEE.

关键词： Bandwidth

One for Multiple: Physics-informed Synthetic data Boosts Generalizable deep learning for Fast MRI Reconstruction

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arXiv 2023年

作者： Wang, Zi Yu, Xiaotong Wang, Chengyan Chen, Weibo Wang, Jiazheng Chu, Ying-Hua Sun, Hongwei li, Rushuai li, Peiyong Yang, Fan Han, Haiwei Kang, Taishan lin, Jianzhong Yang, Chen Chang, Shufu Shi, Zhang Hua, Sha li, Yan Hu, Juan Zhu, liuhong Zhou, Jianjun lin, Meijing Guo, Jiefeng Cai, Congbo Chen, Zhong Guo, di Yang, Guang Qu, Xiaobo Department of Electronic Science Intelligent Medical Imaging R&D Center Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance National Institute for Data Science in Health and Medicine Xiamen University China Human Phenome Institute Fudan University China Philips Healthcare China Siemens Healthineers Ltd. China United Imaging Research Institute of Intelligent Imaging China Department of Nuclear Medicine Nanjing First Hospital China Shandong Aoxin Medical Technology Company China Department of Radiology The First Affiliated Hospital of Xiamen University China Department of Radiology Zhongshan Hospital Affiliated to Xiamen University China China Department of Cardiology Shanghai Institute of Cardiovascular Diseases Zhongshan Hospital Fudan University China Department of Radiology Zhongshan Hospital Fudan University China Department of Cardiovascular Medicine Heart Failure Center Ruijin Hospital Lu Wan Branch Shanghai Jiaotong University School of Medicine China Department of Radiology Ruijin Hospital Shanghai Jiaotong University School of Medicine China Medical Imaging Department The First Affiliated Hospital of Kunming Medical University China Xiamen Key Laboratory of Clinical Transformation of Imaging Big Data and Artificial Intelligence China Department of Applied Marine Physics and Engineering Xiamen University China Department of Microelectronics and Integrated Circuit Xiamen University China School of Computer and Information Engineering Xiamen University of Technology China Department of Bioengineering Imperial College London United Kingdom

Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses. However, the drawback of prolonged scan times hinders its accessibility. The k-space undersampling offers a solution, yet the resultant artifacts necessitate meticulous removal during image reconstruction. Although deep learning (dl) has proven effective for fast MRI image reconstruction, its broader applicability across various imaging scenarios has been constrained. Challenges include the high cost and privacy restrictions associated with acquiring large-scale, diverse training data, coupled with the inherent difficulty of addressing mismatches between training and target data in existing dl methodologies. Here, we present a novel Physics-Informed Synthetic data learning framework for Fast MRI, called PISF. PISF marks a breakthrough by enabling generalized dl for multi-scenario MRI reconstruction through a single trained model. Our approach separates the reconstruction of a 2d image into many 1d basic problems, commencing with 1d data synthesis to facilitate generalization. We demonstrate that training dl models on synthetic data, coupled with enhanced learning techniques, yields in vivo MRI reconstructions comparable to or surpassing those of models trained on matched realistic datasets, reducing the reliance on real-world MRI data by up to 96%. Additionally, PISF exhibits remarkable generalizability across multiple vendors and imaging centers. Its adaptability to diverse patient populations has been validated through evaluations by ten experienced medical professionals. PISF presents a feasible and cost-effective way to significantly boost the widespread adoption of dl in various fast MRI applications. Importantly, it alleviates the ethical and practical challenges associated with in vivo human data acquisitions, opening new horizons for advancing fast MRI technologies. Copyright © 20

关键词： Magnetic resonance imaging

2023 Astrophotonics Roadmap: pathways to realizing multi-functional integrated astrophotonic instruments

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arXiv 2023年

作者： Jovanovic, Nemanja Gatkine, Pradip Anugu, Narsireddy Amezcua-Correa, Rodrigo Thakur, Ritoban Basu Beichman, Charles Bender, Chad Berger, Jean-Philippe Bigioli, Azzurra Bland-Hawthorn, Joss Bourdarot, Guillaume Bradford, Charles M. Broeke, Ronald Bryant, Julia Bundy, Kevin Cheriton, Ross Cvetojevic, Nick diab, Momen diddams, Scott A. dinkelaker, Aline N. duis, Jeroen Eikenberry, Stephen Ellis, Simon Endo, Akira Figer, donald F. Fitzgerald, Michael Gris-Sanchez, Itandehui Gross, Simon Grossard, ludovic Guyon, Olivier Haffert, Sebastiaan Y. Halverson, Samuel Harris, Robert J. He, Jinping Herr, Tobias Hottinger, Philipp Huby, Elsa Ireland, Michael Jenson-Clem, Rebecca Jewell, Jeffrey Jocou, laurent Kraus, Stefan labadie, lucas lacour, Sylvestre laugier, Romain lawniczuk, Katarzyna lin, Jonathan leifer, Stephanie leon-Saval, Sergio Martin, Guillermo Martinache, Frantz Martinod, Marc-Antoine Mazin, Benjamin A. Minardi, Stefano Monnier, John d. Moreira, Reinan Mourard, denis Nayak, Abani Shankar Norris, Barnaby Obrzud, Ewelina Perraut, Karine Reynaud, François Sallum, Steph Schiminovich, david Schwab, Christian Serbayn, Eugene Soliman, Sherif Stoll, Andreas Tang, liang Tuthill, Peter Vahala, Kerry Vasisht, Gautam Veilleux, Sylvain Walter, Alexander B. Wollack, Edward J. Xin, Yinzi Yang, Zongyin Yerolatsitis, Stephanos Zhang, Yang Zou, Chang-ling Department of Astronomy California Institute of Technology PasadenaCA United States The CHARA Array of Georgia State University Mount Wilson Observatory Mount WilsonCA91203 United States CREOL The College of Optics and Photonics University of Central Florida OrlandoFL United States IPAC NASA Exoplanet Science Institute Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Steward Observatory University of Arizona TucsonAZ United States Institut de Planétologie et d'Astrophysique UGA CNRS France Katholieke Universiteit Leuven Belgium School of Physics The University of Sydney Australia Max Planck Institute for Extraterrestrial Physics Garching Germany Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Bright Photonics BV Eindhoven Netherlands Department of Astronomy and Astrophysics University of California Santa CruzCA United States Advanced Electronics and Photonics Research Centre National Research Council Canada Ottawa Canada Université Côte d’Azur Observatoire de la Côte d’Azur CNRS Laboratoire Lagrange France Dunlap Institute for Astronomy and Astrophysics University of Toronto Toronto Canada Electrical Computer and Energy Engineering Department of Physics University of Colorado BoulderCO United States Potsdam Germany PHIX Photonics Assembly Enschede Netherlands Australian Astronomical Optics Macquarie University NSW Australia Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Center for Detectors Rochester Institute of Technology RochesterNY United States UCLA Physics & Astronomy Department Los AngelesCA United States ITEAM Research Institute Universitat Politècnica de València Valencia Spain MQ Photonics Research Centre Macquarie University NSW Australia XLIM Research Institute University of Limoges France Subaru Telescope National Astronomical Observatory of Japan National Institute of Natural Scien

Photonic technologies offer numerous functionalities that can be used to realize astrophotonic instruments. The most spectacular example to date is the ESO Gravity instrument at the Very large Telescope in Chile that combines the light-gathering power of four 8 m telescopes through a complex photonic interferometer. Fully integrated astrophotonic devices stand to offer critical advantages for instrument development, including extreme miniaturization when operating at the diffraction-limit, as well as integration, superior thermal and mechanical stabilization owing to the small footprint, and high replicability offering significant cost savings. Numerous astrophotonic technologies have been developed to address shortcomings of conventional instruments to date, including for example the development of photonic lanterns to convert from multimode inputs to single mode outputs, complex aperiodic fiber Bragg gratings to filter OH emission from the atmosphere, complex beam combiners to enable long baseline interferometry with for example, ESO Gravity, and laser frequency combs for high precision spectral calibration of spectrometers. despite these successes, the facility implementation of photonic solutions in astronomical instrumentation is currently limited because of 1) low throughputs from coupling to fibers, coupling fibers to chips, propagation and bend losses, device losses, etc., 2) difficulties with scaling to large channel count devices needed for large bandwidths and high resolutions, and 3) efficient integration of photonics with detectors, to name a few. In this roadmap, we identify 23 key areas that need further development. We outline the challenges and advances needed across those areas covering design tools, simulation capabilities, fabrication processes, the need for entirely new components, integration and hybridization and the characterization of devices. To realize these advances the astrophotonics community will have to work cooperatively with industr

关键词： Fiber Bragg gratings

POSYdON Version 2: Population Synthesis with detailed Binary-Evolution Simulations across a Cosmological Range of Metallicities

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arXiv 2024年

作者： Andrews, Jeff J. Bavera, Simone S. Briel, Max Chattaraj, Abhishek dotter, Aaron Fragos, Tassos Gallegos-Garcia, Monica Gossage, Seth Kalogera, Vicky Kasdagli, Eirini Katsaggelos, Aggelos Kimball, Chase Kovlakas, Konstantinos Kruckow, Matthias U. liotine, Camille Misra, devina Rocha, Kyle A. Souropanis, dimitris Srivastava, Philipp M. Sun, Meng Teng, Elizabeth Xing, Zepei Zapartas, Emmanouil Zevin, Michael Department of Physics University of Florida 2001 Museum Rd GainesvilleFL32611 United States Institute for Fundamental Theory 2001 Museum Rd GainesvilleFL32611 United States Département d'Astronomie Université de Genève Chemin Pegasi 51 VersoixCH-1290 Switzerland Université de Genève GenevaCH1211 Switzerland Department of Physics and Astronomy Dartmouth College HanoverNH03755 United States Department of Physics and Astronomy Northwestern University 2145 Sheridan Road EvanstonIL60208 United States Northwestern University 1800 Sherman Ave EvanstonIL60201 United States Center for Astrophysics | Harvard & Smithsonian 60 Garden St. CambridgeMA02138 United States 78 Mount Auburn Street CambridgeMA02138 United States 172 E. Chestnut St. ChicagoIL60611 United States Electrical and Computer Engineering Northwestern University 2145 Sheridan Road EvanstonIL60208 United States Campus UAB Carrer de Magrans Barcelona08193 Spain Edifici RDIT Campus UPC Castelldefels Barcelona08860 Spain Institutt for Fysikk Norwegian University of Science and Technology Trondheim Norway Institute of Astrophysics Foundation for Research and Technology-Hellas HeraklionGR-71110 Greece The Adler Planetarium 1300 South DuSable Lake Shore Drive ChicagoIL60605 United States

Whether considering rare astrophysical events on cosmological scales or unresolved stellar populations, accurate models must account for the integrated contribution from the entire history of star formation upon which that population is built. Here, we describe the second version of POSYdON, an open-source binary population synthesis code based on extensive grids of detailed binary evolution models computed using the MESA code, which follows both stars' structures as a binary system evolves through its complete evolution from the zero-age main sequence, through multiple phases of mass transfer and supernovae, to their death as compact objects. To generate synthetic binary populations, POSYdON uses advanced methods to interpolate between our large, densely spaced grids of simulated binaries. In our updated version of POSYdON, we account for the evolution of stellar binaries across a cosmological range of metallicities, extending from 10−4 Z☉ to 2 Z☉, including grids specifically focused on the Small and large Magellanic Clouds (0.2 Z☉ and 0.45 Z☉). In addition to describing our model grids and detailing our methodology, we outline several improvements to POSYdON. These include the incorporation of single stars in stellar populations, a treatment for stellar mergers, and a careful modeling of "reverse-mass transferring" binaries, in which an once-accreting star later becomes a donor star. Our simulations are focused on binaries with at least one high-mass component, such as those that host neutron stars and black holes, and we provide post-processing methods to account for the cosmological evolution of metallicity and star formation as well as rate calculations for gravitational wave events, gamma-ray bursts, and other transients. © 2024, CC BY.

关键词： Cosmology

Two-dimensional Ga2O3 glass: a large scale passivation and protection material for monolayer WS2

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arXiv 2020年

作者： Wurdack, Matthias Yun, Tinghe Estrecho, Eliezer Syed, Nitu Bhattacharyya, Semonti Pieczarka, Maciej Zavabeti, Ali Chen, Shao-Yu Haas, Benedikt Müller, Johannes Bao, Qiaoliang Schneider, Christian lu, Yuerui Fuhrer, Michael S. Truscott, Andrew G. daeneke, Torben Ostrovskaya, Elena A. ARC Centre of Excellence in Future Low-Energy Electronics Technologies Nonlinear Physics Centre Research School of Physics Australian National University CanberraACT2601 Australia Department of Materials Science and Engineering Monash University Clayton Australia Department of Chemical and Environmental Engineering RMIT Melbourne Australia School of Physics and Astronomy Monash University Clayton Australia Department of Chemical Engineering University of Melbourne ParkvilleVIC3010 Australia Institut fur Physik & IRIS Adlershof Humboldt-Universität zu Berlin BerlinD-10099 Germany Institut of Physics Carl von Ossietzky University of Oldenburg Ammerländer Heerstrasse 114-118 Oldenburg26126 Germany Research School of Electrical Energy and Materials Engineering College of Engineering and Computer Science Australian National University CanberraACT2601 Australia Laser Physics Centre Research School of Physics Australian National University CanberraACT2601 Australia

Atomically thin transition metal dichalcogenide crystals (TMdCs) have extraordinary optical properties that make them attractive for future optoelectronic applications. Integration of TMdCs into practical all-dielectric heterostructures hinges on the ability to passivate and protect them against necessary fabrication steps on large scales. despite its limited scalability, encapsulation of TMdCs in hexagonal boron nitride (hBN) currently has no viable alternative for achieving high performance of the final device. Here, we show that the novel, ultrathin Ga2O3 glass is an ideal centimeter-scale coating material that enhances optical performance of the monolayers and protects them against further material deposition. In particular, Ga2O3 capping of commercial grade WS2 monolayers outperforms hBN in both scalability and optical performance at room temperature. These properties make Ga2O3 highly suitable for large scale passivation and protection of monolayer TMdCs in functional heterostructures. Copyright © 2020, The Authors. All rights reserved.

关键词： Monolayers

Frequency dependence of near-surface oceanic kinetic energy from drifter observations and global high-resolution models

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arXiv 2022年

作者： Arbic, Brian K. Elipot, Shane Brasch, Jonathan M. Menemenlis, dimitris Ponte, Aurélien l. Shriver, Jay F. Yu, Xiaolong Zaron, Edward d. Alford, Matthew H. Buijsman, Maarten C. Abernathey, Ryan Garcia, daniel Guan, lingxiao Martin, Paige E. Nelson, Arin d. Department of Earth and Environmental Sciences University of Michigan Ann ArborMI United States Rosenstiel School of Marine and Atmospheric Science University of Miami MiamiFL United States Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI United States Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Ifremer Université de Brest CNRS IRD Laboratoire d'Océanographie Physique et Spatiale IUEM Brest France Naval Research Laboratory Stennis Space Center Mississippi United States College of Earth Ocean and Atmospheric Sciences Oregon State University CorvallisOR United States Scripps Institution of Oceanography University of California La Jolla San DiegoCA United States School of Ocean Science and Engineering University of Southern Mississippi Stennis Space Center MS United States Lamont-Doherty Earth Observatory Columbia University New York CityNY United States Department of Physics University of Michigan Ann ArborMI United States Graduate School of Oceanography University of Rhode Island KingstonRI United States

The geographical variability, frequency content, and vertical structure of near-surface oceanic kinetic energy (KE) are important for air-sea interaction, marine ecosystems, operational oceanography, pollutant tracking, and interpreting remotely sensed velocity measurements. Here, KE in high-resolution global simulations (HYbrid Coordinate Ocean Model;HYCOM, and Massachusetts Institute of Technology general circulation model;MITgcm), at the sea surface (0 m) and 15 m, are respectively compared with KE from undrogued and drogued surface drifters. Global maps and zonal averages are computed for low-frequency ( © 2022, CC BY.

关键词： Kinetic energy

Interactive Touch Screen using Augmented Reality

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Interactive Touch Screen using Augmented Reality

International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)

作者： Probuddho Chakraborty Anip Shah Information Technology Ramrao Adik Institute of Technology Navi Mumbai India Computer Engineering L. D. College of Engineering Ahmedabad India

ISBN: (数字)9781538677063

ISBN: (纸本)9781538677070

Interactive Touch Screen using Augmented Reality is a set-up where Microsoft Kinect's depth-sensing ability is used to create an interactive touch environment on any plane surface. Touch screens are becoming quite popular, which is owing to the fact that they can accurately detect the user's touch points on the surface of the screen. Our setup proposes an approach to achieve a touch-sensitive surface which is made possible using a Microsoft Kinect placed on top of a horizontal surface along with a projector to project the screen on which the actions would be performed. The possible actions on the interactive surface are Touch, Hover, and Idle. There are notable advantages of using this setup to detect touch. Firstly, it is cost-effective since it is a one-time investment. Secondly, you can vary the screen-size as per requirement. Thirdly, there is no fear of causing physical damage since it is not instrumented. lastly, it is portable. This attempt manages to reduce the false positives when compared to other previous touch screen techniques.

关键词： Touch sensitive screens Calibration Hardware Tracking Augmented reality Mice Skeleton

High Gain Patch Antenna using EBG Structures for WiMAX Application

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IOP Conference Series: Materials Science and engineering 2021年第1期1070卷

作者： H B Bhuvaneswari Anand C Konnur Shambulingappa K Vadeyanpur Department of Electronics and Communication ACSCE Bangaluru Department of Electronics and Communication K.L.E Dr.M.S.Sheshgiri College of Engineering Technology Affiliated to VTU UdyambagBelagavi 590008 Department of R and D RFinity Solutions private Limited Belagavi 590008

One of the ways to achieve high gain in microstrip antennas is by using electromagnetic band-gap (EBG) structures. Incorporating EBG in the design supresses surface waves in the antenna ground plane and also helps in obtaining a uniform field distribution. The main objective of this paper is to obtain a high gain antenna suitable for WiMAX application by simply placing multiple EBG structures on the same plane of patch antenna. A simple microstrip patch antenna with and without EBG structures is designed and simulated using AnsoftHFSSTMsoftware with FR4 substrate having a dielectric constant of 4.4, loss tangent of 0.02 and thickness of 1.57mm at a resonating frequency of 5.6 GHz. The proposed EBG antenna increased the gain by approximately two times when compared with a simple micro-strip patch antenna.

关键词：

An unsupervised capacity identification approach based on Sobol' indices

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arXiv 2020年

作者： Pelegrina, Guilherme dean duarte, leonardo Tomazeli Grabisch, Michel Romano, João Marcos Travassos School of Electrical and Computer Engineering University of Campinas 400 Albert Einstein Avenue Campinas13083-852 Brazil School of Applied Sciences University of Campinas 1300 Pedro Zaccaria Street Limeira13484-350 Brazil Centre d’Économie de la Sorbonne Université Paris I Panthéon-Sorbonne 106-112 Boulevard de l’Hôpital Paris Cedex 1375647 France

In many ranking problems, some particular aspects of the addressed situation should be taken into account in the aggregation process. An example is the presence of correlations between criteria, which may introduce bias in the derived ranking. In these cases, aggregation functions based on a capacity may be used to overcome this inconvenience, such as the Choquet integral or the multilinear model. The adoption of such strategies requires a stage to estimate the parameters of these aggregation operators. This task may be difficult in situations in which we do not have either further information about these parameters or preferences given by the decision maker. Therefore, the aim of this paper is to deal with such situations through an unsupervised approach for capacity identification based on the multilinear model. Our goal is to estimate a capacity that can mitigate the bias introduced by correlations in the decision data and, therefore, to provide a fairer result. The viability of our proposal is attested by numerical experiments with synthetic data. Copyright © 2020, The Authors. All rights reserved.

关键词： Mathematical operators