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Correction: Steering the crystallization of perovskites for high-performance solar cells in ambient air

Journal of Materials Chemistry A 2020年第35期8卷 18387-18387页

作者： Feng Wang Ting Zhang Yafei Wang Detao Liu Peng Zhang Hao Chen Long Ji Li Chen Zhi David Chen Jiang Wu Xin Liu Yanbo Li Shibin Li School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China Chengdu Sichuan 610054 China Department of Electrical and Computer Engineering Center for Nanoscale Science & Engineering University of Kentucky Lexington Kentucky 40506 USA Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu Sichuan 610054 China

Correction for ‘Steering the crystallization of perovskites for high-performance solar cells in ambient air’ by Feng Wang et al., J. Mater. Chem. A, 2019, 7, 12166–12175, DOI: 10.1039/C9TA02566A.

Correction for ‘Steering the crystallization of perovskites for high-performance solar cells in ambient air’ by Feng Wang et al., J. Mater. Chem. A, 2019, 7, 12166–12175, DOI: 10.1039/C9TA02566A.

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A Technical Review of MANET Testbed Using Mobile Robot Technology

A Technical Review of MANET Testbed Using Mobile Robot Techn...

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International PostGraduate Conference on Applied Science and Physics 2017, GRASP 2017

作者： Muchtar, Farkhana Hanan Abdullah, Abdul Shafie Abd Latiff, Muhammad Hassan, Suhaidi Helmy Abd Wahab, Mohd Abdul-Salaam, Gaddafi Faculty of Computing Universiti Teknologi Malaysia Skudai Johor81310 Malaysia School of Computer Sciences Universiti Sains Malaysia Gelugor Pulau Pinang11800 Malaysia School of Computing Universiti Utara Malaysia Sintok Kedah06010 Malaysia Faculty of Electronic and Electrical Engineering Universiti Tun Hussein Onn Johor Batu Pahat86400 Malaysia Department of Computer Science Kwame Nkrumah University of Science and Technology Ghana

Recently, MANET (Mobile Ad Hoc Network) researchers have shown increased interest in using mobile robot technology for their testbed platforms. Despite the existence of review papers that discuss the usage of mobile robot technology pertaining to a MANET testbed from the perspective of a MANET researcher, said findings are rather lacklustre as it is not the sole purpose of said reviews. Hence, this review aims to comprehensively discuss the technical aspects that were facilitated with mobile robot technology for previous undertaken research. Only selected MANET testbed relevant to this review are compiled, namely Mobile Emulab, MiNT-m, MiNT-2, Proteus, w-ilab.t, ARUM, Sensei-UU, Kansei, CONET-IT, CONE, Roomba MADNet, Explorebots, SCORPION, MOTEL, iRobotSense, IoT-Lab, and NITOS. The discussions in this article are divided into three parts, namely hardware, software as well as mobile robot positioning and localization. The technical content of this review is expected to be a source of reference for other MANET researchers who are interested to use mobile robots for real mobility in their MANET testbeds. © Published under licence by IOP Publishing Ltd.

关键词： Mobile robots

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Scaling Limitations of Line TFETs at Sub-8-nm Technology Node

Scaling Limitations of Line TFETs at Sub-8-nm Technology Nod...

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International Symposium on VLSI Technology, Systems and Applications

作者： Narasimhulu Thoti Yiming Li Sekhar Reddy Kola Parallel and Scientific Computing Laboratory National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan EECS International Graduate Program National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan Institute of Communications Engineering National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan Department of Electrical and Computer Engineering National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan Center for mmWave Smart Radar System and Technologies National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan

ISBN: (数字)9781728142326

ISBN: (纸本)9781728142333

The scope of the work is to investigate limitations in device scaling by identifying various parameters of short channel effects (SCEs) in current challenging geometries of the line tunnel field effect transistors (TFETs). Key factors of the considered device, such as the doping and the thickness (t n ) of n-epitaxial region, and source-to-drain length (L SDeff ) scaling cannot be tuned anymore to boost the device characteristics for the sub-8-nm technology node. The main results of this study indicates that the engineering acceptable performance are achieved at a low doping of 5 × 10 18 cm -3 , an optimal t n as low (about 0.5 nm), and a L SDeff greater than 12.5 nm. Hence, the line TFETs below sub-8-nm faces serious bottleneck of scaling and cannot be further scaled with the conventional scaling rule at all.

关键词： Electron devices Solids

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A large annotated medical image dataset for the development and evaluation of segmentation algorithms

arXiv

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arXiv 2019年

作者： Simpson, Amber L. Antonelli, Michela Bakas, Spyridon Bilello, Michel Farahani, Keyvan Van Ginneken, Bram Kopp-Schneider, Annette Landman, Bennett A. Litjens, Geert Menze, Bjoern Ronneberger, Olaf Summers, Ronald M. Bilic, Patrick Christ, Patrick F. Do, Richard K.G. Gollub, Marc Golia-Pernicka, Jennifer Heckers, Stephan H. Jarnagin, William R. McHugo, Maureen K. Napel, Sandy Vorontsov, Eugene Maier-Hein, Lena Jorge Cardoso, M. Department of Surgery Memorial Sloan Kettering Cancer Center Centre for Medical Image Computing University College London Center for Biomedical Image Computing and Analytics University of Pennsylvania Division of Cancer Treatment and Diagnosis National Cancer Institute Department of Pathology Radboud University Medical Center Division of Biostatistics German Cancer Research Center Department of Electrical Engineering and Computer Science Vanderbilt University Department of Informatics Technische Universität München Google DeepMind Imaging Biomarkers and Computer-aided Diagnosis Lab Radiology and Imaging Sciences National Institutes of Health Clinical Center Department of Radiology Memorial Sloan Kettering Cancer Center Department of Psychiatry & Behavioral Sciences Vanderbilt University Medical Center Department of Radiology Stanford University Department of Computer Science and Software Engineering École Polytechnique de Montréal Division of Computer Assisted Medical Interventions German Cancer Research Center Department of Imaging and Biomedical Engineering King's College London

Semantic segmentation of medical images aims to associate a pixel with a label in a medical image without human initialization. The success of semantic segmentation algorithms is contingent on the availability of high-quality imaging data with corresponding labels provided by experts. We sought to create a large collection of annotated medical image datasets of various clinically relevant anatomies available under open source license to facilitate the development of semantic segmentation algorithms. Such a resource would allow: 1) objective assessment of general-purpose segmentation methods through comprehensive benchmarking and 2) open and free access to medical image data for any researcher interested in the problem domain. Through a multi-institutional effort, we generated a large, curated dataset representative of several highly variable segmentation tasks that was used in a crowd-sourced challenge - the Medical Segmentation Decathlon held during the 2018 Medical Image computing and computer Aided Interventions Conference in Granada, Spain. Here, we describe these ten labeled image datasets so that these data may be effectively reused by the research community. Copyright © 2019, The Authors. All rights reserved.

关键词： Semantics

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An analysis of uplink asynchronous non-orthogonal multiple access systems

arXiv

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arXiv 2018年

作者： Zou, Xun He, Biao Jafarkhani, Hamid Center for Pervasive Communications and Computing Department of Electrical Engineering and Computer Science University of California IrvineCA92697 United States

Recent studies have numerically demonstrated the possible advantages of the asynchronous nonorthogonal multiple access (ANOMA) over the conventional synchronous non-orthogonal multiple access (NOMA). The ANOMA makes use of the oversampling technique by intentionally introducing a timing mismatch between symbols of different users. Focusing on a two-user uplink system, for the first time, we analytically prove that the ANOMA with a sufficiently large frame length can always outperform the NOMA in terms of the sum throughput. To this end, we derive the expression for the sum throughput of the ANOMA as a function of signal-to-noise ratio (SNR), frame length, and normalized timing mismatch. Based on the derived expression, we find that users should transmit at full powers to maximize the sum throughput. In addition, we obtain the optimal timing mismatch as the frame length goes to infinity. Moreover, we comprehensively study the impact of timing error on the ANOMA throughput performance. Two types of timing error, i.e., the synchronization timing error and the coordination timing error, are considered. We derive the throughput loss incurred by both types of timing error and find that the synchronization timing error has a greater impact on the throughput performance compared to the coordination timing error. Copyright © 2018, The Authors. All rights reserved.

关键词： Signal to noise ratio

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Accelerating Real-Time, High-Resolution Depth Upsampling on FPGAs

Accelerating Real-Time, High-Resolution Depth Upsampling on ...

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International Image Processing, Applications and Systems Conference (IPAS)

作者： David Langerman Sebastian Sabogal Barath Ramesh Alan George Department of Electrical and Computer Engineering University of Pittsburgh NSF Center for Space High-performance and Resilient Computing (SHREC) Pittsburgh PA

ISBN: (纸本)9781728102481;9781728102474

While the popularity of high-resolution, computer-vision applications (e.g. mixed reality, autonomous vehicles) is increasing, there have been complementary advances in time-of-flight depth sensor resolution and quality. These advances in time-of-flight sensors provide a platform for new research into real-time, depth-upsampling algorithms targeted at high-resolution video systems with low-latency requirements. This paper describes a case study in which a previously developed bilateral-filter-style upsampling algorithm is profiled, parallelized, and accelerated on an FPGA using high-level synthesis tools from Xilinx. We show that our accelerated algorithm can effectively upsample the resolution and reduce the noise of time-of-flight sensors. We also demonstrate that this algorithm exceeds the real-time requirements of 90 frames per second necessitated by mixed-reality hardware, achieving a lower-bound speedup of 40 times over the fastest CPU-only version.

关键词： Real-time systems Hardware Acceleration Image resolution Field programmable gate arrays Virtual reality Image color analysis

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AI-based Reconstruction for Fast MRI – A Systematic Review and Meta-analysis

arXiv

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arXiv 2021年

作者： Chen, Yutong Schönlieb, Carola-Bibiane Liò, Pietro Leiner, Tim Dragotti, Pier Luigi Wang, Ge Rueckert, Daniel Firmin, David Yang, Guang National Heart & Lung Institute Imperial College London LondonSW3 6NP United Kingdom Cardiovascular Research Centre Royal Brompton Hospital LondonSW3 6NP United Kingdom Faculty of Biology University of Cambridge CambridgeCB2 1RX United Kingdom Department of Applied Mathematics and Theoretical Physics University of Cambridge CambridgeCB3 0WA United Kingdom Department of Computer Science and Technology University of Cambridge CambridgeCB3 0FD United Kingdom Utrecht University Medical Centre Utrecht3584 CX Netherlands Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2BU United Kingdom Biomedical Imaging Center Rensselaer Polytechnic Institute TroyNY12180 United States Department of Computing Imperial College London LondonSW7 2BU United Kingdom Institute for Medical Informatics Statistics and Epidemiology Technical University of Munich Munich81675 Germany

Compressed sensing (CS) has been playing a key role in accelerating the magnetic resonance imaging (MRI) acquisition process. With the resurgence of artificial intelligence, deep neural networks and CS algorithms are being integrated to redefine the state of the art of fast MRI. The past several years have witnessed substantial growth in the complexity, diversity, and performance of deep learning-based CS techniques that are dedicated to fast MRI. In this meta-analysis, we systematically review the deep learning-based CS techniques for fast MRI, describe key model designs, highlight breakthroughs, and discuss promising directions. We have also introduced a comprehensive analysis framework and a classification system to assess the pivotal role of deep learning in CS-based acceleration for MRI. © 2021, CC BY-NC-ND.

关键词： Compressed sensing

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A Quantum Secret Sharing Scheme Using Orbital Angular Momentum onto Multiple Spin States Based on Fibonacci Compression Encoding

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Communications in Theoretical Physics 2018年第10期70卷 384-390页

作者： Hong Lai Ming-Xing Luo Yong-Jian Xu Josef Pieprzyk Jun Zhang Lei Pan Mehmet A.Orgun School of Computer and Information Science and Centre for Research and Innovation in Software Engineering（RISE） Southwest UniversityChongqing 400715China Information Security and National Computing Grid Laboratory School of Information Science and TechnologySouthwest Jiaotong UniversityChengdu 610031China Data61 Commonwealth Scientific and Industrial Research OrganisationSydneyAustralia Institute of Computer Science Polish Academy of SciencesWarsaw01-248Poland School of Software and Electrical Engineering Swinburne University of TechnologyHawthornVIC3122Australia School of Information Technology Deakin UniversityGeelongVIC3220Australia Department of Computing Macquarie UniversitySydneyNSW 2109Australia Faculty of Information Technology Macao University of Science and TechnologyAvenida Wai LongTaipa999078Macao

Since the use of a quantum channel is very expensive for transmitting large messages, it is vital to develop an effective quantum compression encoding scheme that is easy to implement. Given that, with the single-photon spin-orbit entanglement, we propose a quantum secret sharing scheme using orbital angular momentum onto multiple spin states based on Fibonacci compression encoding. In our proposed scheme, we can represent the frequency of any secret message which is typically collection of bits encodings of text or integers as a bitstring using the base Fibonacci sequence, which is encoded multiple spin states for secret shares transmitted to participants. We demonstrate that Fibonacci compression encoding carries excellent properties that enable us to achieve more robust quantum secret sharing schemes with fewer number of photons.

关键词： spin-orbit entanglement multiple spin states Fibonacci compression encoding quantum secretsharing

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The application of an extracellular vesicle-based biosensor in early diagnosis and prediction of chemoresponsiveness in ovarian cancer

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Cancer Letters 2024年 581卷 216533-216533页

作者： Tsang, Benjamin K. Asare-Werehene, Meshach Hunter, Rob Gerber, Emma Reunov, Arkadiy Brine, Isaiah Chang, Chia-Yu Chang, Chia-Ching Shieh, Dar-Bin Burger, Dylan Anis, Hanan Departments of Obstetrics & Gynecology and Cellular & Molecular Medicine Centre for Infection Immunity and Inflammation Interdisciplinary School of Health Sciences University of Ottawa Ottawa ON K1N 6N5 Canada Chronic Disease Program Ottawa Hospital Research Institute The Ottawa Hospital Ottawa ON K1Y 4E9 Canada Department of Biology St. Francis Xavier University 2320 Notre Dame Avenue Antigonish NS B2G 2W5 Canada School of Electrical Engineering and Computer Science Ottawa-Carleton Institute for Biomedical Engineering University of Ottawa Ottawa ON K1N 6N5 Canada Department of Biological Science and Department of Electrophysics Technology Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu 30068 Taiwan Institute of Basic Medical Science Institute of Oral Medicine and Department of Stomatology Advanced Optoelectronic Technology Center and Center for Micro/Nano Science and Technology National Cheng Kung University Hospital National Cheng Kung University Tainan 704 Taiwan Institute of Physics Academia Sinica Taipei 10529 Taiwan

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Convexity of mutual information along the Ornstein-Uhlenbeck flow

Convexity of mutual information along the Ornstein-Uhlenbeck...

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International Symposium on Information Theory and Its Applications, ISITA

作者： Andre Wibisono Varun Jog College of Computing Georgia Institute of Technology Atlanta GA Department of Electrical & Computer Engineering University of Wisconsin – Madison Madison WI

ISBN: (纸本)9781538682234;9784885523182

We study the convexity of mutual information as a function of time along the flow of the Ornstein-Uhlenbeck process. We prove that if the initial distribution is strongly log-concave, then mutual information is eventually convex, i.e., convex for all large time. In particular, if the initial distribution is sufficiently strongly log-concave compared to the target Gaussian measure, then mutual information is always a convex function of time. We also prove that if the initial distribution is either bounded or has finite fourth moment and Fisher information, then mutual information is eventually convex. Finally, we provide counterexamples to show that mutual information can be nonconvex at small time.

关键词： Mutual information Entropy Stochastic processes Heating systems Random variables Atmospheric measurements Particle measurements

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