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arXiv 2021年

作者： Zhou, Wei Wang, Zhou Chen, Zhibo Dept. of Electrical and Computer Engineering University of Waterloo WaterlooONN2L3G1 Canada CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China

Single image super-resolution (SISR) algorithms reconstruct high-resolution (HR) images with their low-resolution (LR) counterparts. It is desirable to develop image quality assessment (IQA) methods that can not only evaluate and compare SISR algorithms, but also guide their future development. In this paper, we assess the quality of SISR generated images in a two-dimensional (2D) space of structural fidelity versus statistical naturalness. This allows us to observe the behaviors of different SISR algorithms as a tradeoff in the 2D space. Specifically, SISR methods are traditionally designed to achieve high structural fidelity but often sacrifice statistical naturalness, while recent generative adversarial network (GAN) based algorithms tend to create more natural-looking results but lose significantly on structural fidelity. Furthermore, such a 2D evaluation can be easily fused to a scalar quality prediction. Interestingly, we find that a simple linear combination of a straightforward local structural fidelity and a global statistical naturalness measures produce surprisingly accurate predictions of SISR image quality when tested using public subject-rated SISR image datasets. Code of the proposed SFSN model is publicly available at https://***/weizhou-geek/SFSN. Copyright © 2021, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Artificial intelligence based handwritten text recognition system

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AIP Conference Proceedings 2022年第1期2393卷

作者： B. Parvathi Sangeetha E. Kodhai M. Belsam Jeba Ananth R. Revathi Akkaraju Sailesh Chandra P. Vijayakumar 1Dept. of EEE AarupadaiVeedu Institute of Technology Chennai Tamilnadu India 2Department of CSE Sri ManakulaVinayagar Engineering College Pondicherry India. 3Department of Mechatronics engineering SRM Institute of Science and Technology Tamilnadu India 4Department of Computer Science Idhaya College of Arts and Science for Women Pondicherry India 5E-Cell Dhruva College of Management Hyderabad India 6School of Electronics Engineering Vellore Institute of Technology Chennai India.

Handwriting Detection is a computer's approach or ability to access and interpret understandable handwritten source inputs such as paper documents, touch screens, images, etc. Recognition of handwriting is characterized as the task of turning a language into its symbolic representation represented in its spatial form of graphical marks. The progress is base on artificial neural networks, which is an artificial intelligence area of study. To build a Handwriting character recognition system, similar techniques and methods are used. When the data is implemented and translated into digital form by an OCR (Optical Character Recognition) device, it can be edited, manipulated, and processed in a computer-understandable form. For extracting the characteristics of the handwritten alphabets, a method of feature extraction is implemented and then we use the data to train the artificial neural network. It contributes enormously to the development of an automation process and in various applications will enhance the interface between man and machine.

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Enhancing transmission control protocol performance for Mobile Ad-hoc network

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AIP Conference Proceedings 2019年第1期2144卷

作者： Raaid Alubady Haydar Abdulameer Marhoon 1dept. of Information Networks College of Information Technology University of Babylon Babylon Iraq 2dept. of Computer Science College of Science University of Kerbala Kerbala Iraq

Mobile Ad-hoc Network (MANET) is a special type of wireless network with self-organizing, building shared routing information, dynamic network connectivity without any dependence on fixed infrastructures for wireless communication. However, the dynamics and the unpredictable behavior of wireless Mobile Ad-hoc Networks (MANET) results in hindrance are providing sufficient reliability to the network connection. Frequent route changes in the network relatively introduce incessant link failure, which eventually degrades Transmission Control Protocol (TCP) performance considerably. In another hand, a traditional TCP cannot be detected route failure losses and link contention losses that occur in MANET. Thus, considers every packet loss as congestion, which as a result is a severe degradation of TCP performance. Therefore, we are about addressing the potential enhancement of the performance of TCP when Explicit Link Failure Notification (ELFN) is implemented as opposed to the traditional TCP system. The goal of ELFN is to modify the slow start mechanism that is employed in the standard TCP so that the quality of service achieved from the network can be maximized. The network simulation (NS-2) tool is used for implementation, test and evaluates TCP-ELFN. The numerical results indicate of the study show that TCP-ELFN outperforms the performance of standard TCP with packet loss, delay and normalized routing load is reduced significantly to 28%, 23%, and 60%, respectively.

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Double diffusive conjugate heat transfer: Part III

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AIP Conference Proceedings 2018年第1期1953卷

作者： Manzoor Elahi M. Soudagar Azeem 1Dept. of Mechanical Engineering Jain College of Engineering Belagavi 590014 India 2Dept. of Computer System & Technology University of Malaya Kuala Lumpur Malaysia 3Dept. of Mathematics and Computer Science Taylor’s University Kuala Lumpur Malaysia

The placement of a small solid wall towards cold surface of square porous cavity affects the heat transfer behavior of porous region due to restriction of fluid motion in the region occupied by solid wall. An investigation of heat transfer is carried out to understand the fluid flow and heat transfer behavior in porous cavity by solving the governing partial differential equations. Galerkin’s approach is used to convert the partial differential equations into algebraic form of equations by applying finite element method. The heat transfer increases for solid towards right surface as compared to the case of solid at center of cavity.

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Double diffusive conjugate heat transfer: Part I

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AIP Conference Proceedings 2018年第1期1953卷

作者： Azeem Manzoor Elahi M. Soudagar 1Dept. of Computer System & Technology University of Malaya Kuala Lumpur Malaysia 2Dept. of Mathematics and Computer Science Taylor’s University Kuala Lumpur Malaysia 3Dept. of Mechanical Engineering Jain College of Engineering Belagavi 590014 India

The present work is undertaken to investigate the effect of solid wall being placed at left of square cavity filled with porous medium. The presence of a solid wall in the porous medium turns the situation into a conjugate heat transfer problem. The boundary conditions are such that the left vertical surface is maintained at highest temperature and concentration whereas right vertical surface at lowest temperature and concentration in the medium. The top and bottom surfaces are adiabatic. The additional conduction equation along with the regular momentum and energy equations of porous medium are solved in an iterative manner with the help of finite element method. It is seen that the heat and mass transfer rate is lesser due to smaller thermal and concentration gradients.

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Double diffusive conjugate heat transfer: Part II

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AIP Conference Proceedings 2018年第1期1953卷

Conjugate heat transfer in porous medium is an important study involved in many practical applications. The current study is aimed to investigate the double diffusive flow in a square porous cavity subjected to left vertical surface heating and right vertical surface cooling respectively along with left and right surfaces maintained at high and low concentration. The three governing equations are converted into algebraic form of equations by applying finite element method and solved in iterative manner. The study is focused to investigate the effect of presence of solid inside the cavity with respect to varying buoyancy ratio. It is found that the local heat and mass transfer rate decreases along the height of cavity.

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Curating scientific information in knowledge infrastructures

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Data Science Journal 2018年 17卷

作者： Stocker, Markus Paasonen, Pauli Fiebig, Markus Zaidan, Martha A Hardisty, Alex TIB Leibniz Information Centre for Science and Technology Welfengarten 1 B Hannover30167 Germany MARUM Center for Marine Environmental Sciences PANGAEA Data Publisher for Earth & Environmental Science Leobener Strasse 8 Bremen28359 Germany Institute for Atmospheric and Earth System Research/Physics University of Helsinki 00014 Finland NILU – Norsk Institutt for Luftforskning Dept. Atmospheric and Climate Research Instituttveien 18 Kjeller2007 Norway School of Computer Science and Informatics Cardiff University Queens Buildings 5 The Parade CardiffCF24 3AA United Kingdom

Interpreting observational data is a fundamental task in the sciences, specifically in earth and environmental science where observational data are increasingly acquired, curated, and published systematically by environmental research infrastructures. Typically subject to substantial processing, observational data are used by research communities, their research groups and individual scientists, who interpret such primary data for their meaning in the context of research investigations. The result of interpretation is information—meaningful secondary or derived data—about the observed environment. Research infrastructures and research communities are thus essential to evolving uninterpreted observational data to information. In digital form, the classical bearer of information are the commonly known "(elaborated) data products," for instance maps. In such form, meaning is generally implicit e.g., in map colour coding, and thus largely inaccessible to machines. The systematic acquisition, curation, possible publishing and further processing of information gained in observational data interpretation—as machine readable data and their machine readable meaning—is not common practice among environmental research infrastructures. For a use case in aerosol science, we elucidate these problems and present a Jupyter based prototype infrastructure that exploits a machine learning approach to interpretation and could support a research community in interpreting observational data and, more importantly, in curating and further using resulting information about a studied natural phenomenon. © 2018 The Author(s).

关键词： Linked data

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GAFD Special issue on "Physics and Algorithms of the Pencil Code" f-mode strengthening from a localised bipolar subsurface magnetic field

arXiv

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arXiv 2018年

作者： Singh, Nishant K. Raichur, Harsha Käpylä, Maarit J. Rheinhardt, Matthias Brandenburg, Axel Käpylä, Petri J. Max Planck Institute for Solar System Research Göttingen37077 Germany ReSoLVE Centre of Excellence Dept. of Computer Science Aalto University FI-00076 Finland NORDITA KTH Royal Inst. of Technology Stockholm University Stockholm10691 Sweden Dept. of Astronomy AlbaNova University Center Stockholm University Stockholm10691 Sweden JILA Dept. of Astrophysical and Planetary Sciences University of Colorado Boulder United States Laboratory for Atmospheric and Space Physics 3665 Discovery Drive BoulderCO80303 United States Georg-August-Universität Göttingen Institut für Astrophysik Friedrich-Hund-Platz 1 GöttingenD 37077 Germany

Recent numerical work in helioseismology has shown that a periodically varying subsurface magnetic field leads to a fanning of the f-mode, which emerges from a density jump at the surface. In an attempt to model a more realistic situation, we now modulate this periodic variation with an envelope, giving thus more emphasis on localised bipolar magnetic structures in the middle of the domain. Some notable findings are: (i) compared to the purely hydrodynamic case, the strength of the f-mode is significantly larger at high horizontal wavenumbers k, but the fanning is weaker for the localised subsurface magnetic field concentrations investigated here than the periodic ones studied earlier;(ii) when the strength of the magnetic field is enhanced at a fixed depth below the surface, the fanning of the f-mode in the kω diagram increases proportionally in such a way that the normalised f-mode strengths remain nearly the same in different such cases;(iii) the unstable Bloch modes reported previously in case of harmonically varying magnetic fields are now completely absent when more realistic localised magnetic field concentrations are imposed beneath the surface, thus suggesting that the Bloch modes are unlikely to be supported during most phases of the solar cycle;(iv) the f-mode strength appears to depend also on the depth of magnetic field concentrations such that it shows a relative decrement when the maximum of the magnetic field is moved to a deeper layer. We argue that detections of f-mode perturbations such as those being explored here could be effective tracers of solar magnetic fields below the photosphere before these are directly detectable as visible manifestations in terms of active regions or sunspots. Copyright © 2018, The Authors. All rights reserved.

关键词： Magnetohydrodynamics

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Adhesion of oxide layer to metal-doped aluminum hydride surface: Density functional calculations

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AIP Conference Proceedings 2017年第1期1865卷

作者： Tomoki Takezawa Junichi Itoi Takashi Kannan 1Dept. of Electrical and Computer Engineering National Institute of Technology Maizuru College 234 Aza Shiroya Maizuru Kyoto 625-8511 JAPAN 2Electrical-Control System Engineering Course Faculty of Advanced Engineering National Institute of Technology Maizuru College 234 Aza Shiroya Maizuru Kyoto 625-8511 JAPAN

The density functional theory (DFT) calculations were carried out to evaluate the adhesion energy of the oxide layer to the metal-doped surface of hydrogen storage material, aluminum hydride (alane, AlH3). The total energy calculations using slab model revealed that the surface doping of some metals to aluminum hydride weakens the adhesion strength of the oxide layer. The influence of titanium, iron, cobalt, and zirconium doping on adhesion strength were evaluated. Except for iron doping, the adhesion strength becomes weak by the doping.

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Abstracts

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JOURNAL OF SPINAL CORD MEDICINE 2021年第SUPPL 1期44卷 S278-S324页

作者： [Anonymous] Department of Medicine Division of Physical Medicine and Rehabilitation University of Toronto Toronto ON CA KITE - Toronto Rehabilitation Institute University Health Network Toronto ON CA Institute for Health Policy Management and Evaluation University of Toronto Toronto ON CA Rehabilitation Sciences Institute University of Toronto Toronto ON CA Institute of Medical Sciences University of Toronto Toronto ON CA. Rehabilitation Sciences Institute University of Toronto ON CA KITE Research Institute-Toronto Rehab-University Health Network Toronto ON CA Physical Therapy Department University of Toronto ON CA Praxis Spinal Cord Institute Vancouver BC Université de Montréal (École de réadaptation) Montreal QC CA Institut de réadaptation Gingras-Linsay-de-Montréal Montreal QC CA Division of Physical Medicine & Rehabilitation Department of Medicine Faculty of Medicine & Dentistry University of Alberta Edmonton AB CA University of Calgary Calgary AB CA Alberta Health Services Centre for Family Medicine Kitchener ON CA McMaster University Department of Family Medicine Hamilton ON CA Dept. of Physical Therapy University of Toronto Toronto ON CA KITE-University Health Network Toronto ON CA Praxis Spinal Cord Institute Vancouver BC CA Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) Quebec City QC CA Dept. of Rehabilitation Laval University Quebec City QC CA Institute of Health Policy Management and Evaluation University of Toronto Toronto ON CA School of Rehabilitation Science University of Saskatchewan Saskatoon SK CA Ontario Neurotrauma Foundation Toronto ON CA Canadian Spinal Research Organization Toronto ON CA CIUSSS du Centre-Sud-de-l ‘Île-de-Montréal (Installation Gingras-Lindsay) Montréal QC CA École de réadaptation Université de Montréal Montréal QC CA First Steps Wellness Centre Regina SK CA Stan Cassidy Centre for Rehabilitation Horizon Health Network Fredericton NB CA Departmen

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