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Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients

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Proceedings of Meetings on Acoustics 2022年第1期46卷

作者： Umair Khan Federico Mento Lucrezia Nicolussi Giacomaz Riccardo Trevisan Libertario Demi Andrea Smargiassi Riccardo Inchingolo Tiziano Perrone 1Department of Information Engineering & Computer Science University of Trento Povo ITALY 38123 umair.khan@unitn.it federico.mento@unitn.it l.nicolussigiacomaz@studenti.unitn.it riccardo.trevisan@studenti.unitn.it libertario.demi@unitn.it 2Fondazione Policlinico Universitario A. Gemelli IRCCS Rome 00168 ITALY smargiassi.a@*** ricacardo.inchingolo@policlinicpgemelli.it 3Medicina Generale 1 Fondazione IRCCS Policlinico San Matteo Pavia PV 27100 ITALY 4Dipartimento di Emergenza de Urgenza Humanitas Gavazzeni Bergamo BG 24125 ITALY tiziano.perrone@gavazzeni.it

With the outbreak of the COVID-19, remote diagnosis, patient monitoring, collection, and transmission of data from electronic devices is rapidly taking share in the health sector. These devices are however limited on resources like energy, memory and processing power. Consequently, it is highly relevant to investigate minimizing the data, keeping intact the information content. The objective of this study is to thus observe the impact of pixel, intensity, & temporal resolution on automated scoring of LUS data. First, 448 videos from 20 patients were normalized to a common pixel resolution, i.e., the largest found over the dataset (841 pixels/cm2). Next, pixel and intensity resolution were further reduced by down-sampling factor of 2,3, and 4, and by quantization factor of 2,4, and 8 respectively. Furthermore, number of frames were down-sampled as a function of time by factor of 1 to 10 with step-size of 1. Resampled, quantized, and temporally reduced videos were evaluated using the DL algorithm (doi: 10.1109/TMI.2020.2994459) and frame, video, and prognostic-level results were obtained. It was found that no significant change in the prognostic results is observed when the data is reduced by 32 times to its original size and by 10 times to the original number of frames.

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Deep learning for image and point cloud fusion in autonomous driving: A review

arXiv

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arXiv 2020年

作者： Cui, Yaodong Chen, Ren Chu, Wenbo Chen, Long Tian, Daxin Li, Ying Cao, Dongpu The Waterloo CogDrive Lab Department of Mechanical and Mechatronics Engineering University of Waterloo 200 University Ave West WaterlooONN2L3G1 Canada Research Institute Co. Ltd. Beijing100176 China School of Data and Computer Science Sun Yat-sen University Zhuhai519082 China Waytous Inc. Qingdao266109 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing100191 China

Autonomous vehicles were experiencing rapid development in the past few years. However, achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic driving environment. Therefore, autonomous vehicles are equipped with a suite of different sensors to ensure robust, accurate environmental perception. In particular, the camera-LiDAR fusion is becoming an emerging research theme. However, so far there has been no critical review that focuses on deep-learning-based camera-LiDAR fusion methods. To bridge this gap and motivate future research, this paper devotes to review recent deep-learning-based data fusion approaches that leverage both image and point cloud. This review gives a brief overview of deep learning on image and point cloud data processing. Followed by in-depth reviews of camera-LiDAR fusion methods in depth completion, object detection, semantic segmentation, tracking and online cross-sensor calibration, which are organized based on their respective fusion levels. Furthermore, we compare these methods on publicly available datasets. Finally, we identified gaps and over-looked challenges between current academic researches and real-world applications. Based on these observations, we provide our insights and point out promising research directions. Copyright © 2020, The Authors. All rights reserved.

关键词： Object detection

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Publisher’s Note: “Glass formation in amorphous ZnO films revealed by chip calorimetry” [J. Appl. Phys 127, 115105 (2020)]

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Journal of Applied Physics 2020年第14期128卷

作者： Andre Zeumault 1Department of Materials Science and Engineering Georgia Institute of Technology Atlanta Georgia 30318 USA 2School of Chemistry and Biochemistry Georgia Institute of Technology Atlanta Georgia 30318 USA 3Department of Electrical Engineering and Computer Science The University of Tennessee Knoxville Tennessee 37996 USA 4Department of Materials Science and Engineering The University of Tennessee Knoxville Tennessee 37996 USA

This article was originally published on 18 March 2020 without a complete list of affiliations. The affiliations are correct as they appear above.

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Finite element formulation of conjugate double diffusion in porous annulus

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AIP Conference Proceedings 2020年第1期2204卷

作者： Maughal Ahmed Ali Baig Azeem N. J. Salman Ahmed Sarfaraz Kamangar T. M. Yunus Khan Irfan Anjum Badruddin Avala Raji Reddy H. M. T. Khaleed 1Department of Mechanical Engineering CMR Technical Campus Hyderabad India 2Department of Mathematics and Computer Science Taylor’s University No. 1 Jalan Taylor’s Subang Jaya - 47500 Selangor Darul Ehsan Malaysia 3Department of Mechanical and Industrial Engineering Sultan Qaboos University Muscat Oman 4Department of Mechanical Engineering College of Engineering King Khalid University PO Box 394 Abha 61421 Kingdom of Saudi Arabia 5Dept of Mechanical Engineering Faculty of Engineering Islamic University Madinah Munawwarra Kingdom of Saudi Arabia

The present work highlights the application of finite element method to conjugate heat and mass in porous annulus. transfer Finite element discretization of double diffusion in porous medium having fixed in annular geometry is presented. The simplest of the two dimensional elements i.e. triangular element is made use of to divide the geometry of problem under investigation into a set of smaller segments. Galerkin method is applied to convert the equations that govern double diffusion in porous medium into a set of algebraic equations. The application of FEM results into 3 equation for each element which is then assembled into a global matrix to get the solution. There are three equations which results into three set of simultaneous equations in the form of global matrix. The formulation is discussed with respect to the solution methodology to be followed.

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Erratum: Power Matching to Pulsed Inductively Coupled Plasmas [J. Appl. Phys. 127, 133302 (2020)]

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Journal of Applied Physics 2020年第8期128卷

作者： Chenhui Qu Steven J. Lanham Steven C. Shannon Sang Ki Nam Mark J. Kushner 1Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor Michigan 48109-2122 USA 2Department of Chemical Engineering University of Michigan Ann Arbor Michigan 48109-2136 USA 3Department of Nuclear Engineering North Carolina State University Raleigh North Carolina 27695-7909 USA 4Mechatronics R&D Center Samsung Electronics Co. Ltd 1-1 Samsungjeonja-ro Hwaseong-si Gyeonggi-do 18448 South Korea

This erratum applies to the paper “Power Matching to Pulsed Inductively Coupled Plasmas.”1 In this paper, we discussed power deposition in continuous wave and p

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Guest Editorial Distributed Signal Processing for Security and Privacy in Networked Cyber-Physical Systems

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IEEE Transactions on Signal and Information Processing over Networks 2018年第1期4卷 1-3页

作者： Mohammadi, A. Cheng, P. Piuri, V. Plataniotis, K.N. Campisi, P. Concordia Institute for Information System Engineering Concordia University MontrealQCH3G-2W1 Canada Department of Control Science and Engineering Zhejiang University Hangzhou310027 China Department of Information Technology Universita Degli Studi di Milano CremaCR 26013 Italy Department of Electrical and Computer Engineering University of Toronto TorontoONM5S-3G4 Canada Department of Applied Electronics Universita Degli Studi Roma Tre Rome00146 Italy

The papers in this special section address distributed signal processing applications that support security and privacy in networked cyber-physical systems. Networked cyber-physical systems (CPSs) are engineering systems with integrated computational and communication capabilities that interact with humans through cyber space. The CPSs have recently emerged in several practical applications of significant engineering importance including aerospace, industrial/manufacturing process control, multimedia networks, transportation systems, power grids, and medical systems. The CPSs typically consist of both wireless and wired sensor/agent networks with different capacity/reliability levels where the emphasis is on real-time operations, and performing distributed, secure, and optimal sensing/processing is the key concern. To satisfy these requirements of the CPSs, it is of paramount importance to design innovative Signal Processing tools to provide unprecedented performance and resource utilization efficiency. © 2015 IEEE.

关键词： Special issues and sections Cyber-physical systems Sensors Intrusion detection Distributed databases Security Privacy

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Image stitching of microscopic wastewater images

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AIP Conference Proceedings 2019年第1期2157卷

作者： Rab Nawaz Le Yan Tan Humaira Nisar Muhammad Burhan Khan 1Department of Electronic Engineering Faculty of Engineering and Green Technology Universiti Tunku Abdul Rahman Malaysia 2Department of Electrical Engineering National University of Computer and Emerging Sciences Pakistan

In this paper, image stitching strategy is proposed to prepare a virtual slide image of the sample of activated sludge obtained from the wastewater treatment plant. The bright-field microscopic images have inherent problem of vignetting and less contrast, which result into failed image registration by conventional methods. Our method involves illumination correction, image segmentation, image registration and finally, image stitching. First, flat-field correction method is applied to all the acquired field of views (FOVs) to balance the illumination on each FOV. In the second step, adaptive thresholding method is employed to segment all the acquired FOVs to convert into binary images. This step is meant to increase the accuracy of finding the overlapping region during image registration. Then, phase correlation is used to find the overlapping region between images in horizontal direction during image stitching for each row of the microscopy slide, and in vertical direction subsequently for image stitching between the rows. The proposed method has been compared with the state-of-the-art algorithms using subjective inspection, and no reference evaluation indices of entropy and clarity. From the evaluation, we had observed that the proposed method performs better.

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Playing games in computers without physical interaction using electroencephalography for differently abled

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AIP Conference Proceedings 2019年第1期2112卷

作者： B. Sreedevi P. Rayavel 1Department of Computer Science and Engineering Sri Sai Ram Institute of Technology Tamil nadu India 2Department of Computer Science and Engineering Sri Sai Ram Institute of Technology Tamil nadu India

Mind controlled gaming for the Differently Abled aims to open up the arena of gaming entertainment to those that has special needs. The project is modelled in such a way that it facilitates playing games without the need for physical interaction with the game itself such as operating a keyboard. The project uses the capability of the human brain to facilitate this kind of physical interaction less gaming. It uses the principle of Electroencephalography, an electrophysiological observing technique to record electrical movement of the brain. We utilize noninvasive situation of electrodes along the scalp. EEG estimates voltage variances coming about because of ionic current inside the neurons of the brain which are then mapped to certain activities that can be performed within the games.

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Performance evaluation of the heart rate measurement using smart shoes

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AIP Conference Proceedings 2020年第1期2231卷

作者： Aripriharta Muladi Ilham Ari Elbaith Zaeni Adim Firmansah Akhmad Afrizal Rizqi Gwo Jiun Horng 1Department of Electrical Engineering Faculty of Engineering Universitas Negeri Malang Jl. Semarang No. 5 Malang 65145 Indonesia 2Centre of Advanced Materials for Renewable Energy (CAMRY) Universitas Negeri Malang Jl. Semarang No. 5 Malang 65145 Indonesia 3Department of Computer Science and Information Engineering Southern Taiwan University of Science and Technology Tainan City Taiwan

The wearable devices are gaining its popularity in recent years. This paper presents the performances of our smart shoes as a wearable biomedical device in capturing the heartbeat signal from dorsalis pedis. Generally, the heartbeat measured from an artery was located on the chest, hand, fingertip, and ear or neck. Even though the pulse from dorsalis pedis has a smaller amplitude compared to the other artery location, the integrated sensor on our smart shoes can capture the signal with high precision. The experiment was conducted several times to three groups of healthy participants; they were kid, mature, and elder. The results show that the smart shoe sensor could measure the dorsalis pedis pulse and has a maximum error rate of 11.76% compared to the digital tensimeter. Unlike the standard measurement and other commercial devices, our device gives a small gap in RMS error, which is acceptable for clinical needs.

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An Accurate Correlation-Type Doppler Estimator in Dynamic Underwater Acoustic Channels using Comb-Type Shift-Orthogonal Pilot Signals

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Proceedings of Meetings on Acoustics 2020年第1期40卷

作者： Ali Mohamad Bassam Christian Schlegel Mae Seto 1Department of Electrical & Computer Engineering Dalhousie University Halifax Nova Scotia B3H4R2 CANADA al903300@dal.ca 2Department of Electrical Engineering Dalhousie University Halifax Nova Scotia CANADA christian.b.schlegel@*** 3Department of Mechanical Engineering Dalhousie University Halifax Nova Scotia CANADA mae.seto@dal.ca

This paper presents a practical and accurate Doppler estimator for signals propagating in underwater acoustic (UWA) channels. Estimation is performed with relatively short shift-orthogonal pilot sequences due to their correlation properties. Pilot bursts are OFDM (orthogonal frequency division multiplexing). The receiver performs Doppler estimation by cross-correlating the received signal with the known pilot signal, resulting in a Doppler phase estimate from which the Mach number is determined in real-time. The estimator operates at the sample rate of the signal, which yields a Mach number estimate every sample. Therefore, instantaneous changes in the Mach number are known, thereby allowing the tracking of Doppler effects in dynamic channels. A design criterion for the estimator’s validity is derived, which relates bandwidth, carrier frequency and sequence length with Mach number. A MATLAB Simulink model of the estimator is presented. The results show its performance in synthetic channels that simulate relative motion between transmitter and receiver. The Cramer-Rao lower bound (CRLB) analysis shows the estimator achieving a variance below 10 -4 for SNRs above 20 dB. This is a near-optimal estimator. Additionally, compared to other estimators, the computational complexity is considerably lower and the range of valid Mach numbers that it can address is higher.

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