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The IPI identifies the window of opportunity for treatment before cardio-respiratory arrest

Resuscitation 2010年第2期81卷 S42-S42页

作者： Einav, S. Helvitz, Y. Ronen, M. Hersch, M. Intensive Care Unit Shaare Zedek Hebrew University Medical Center Jerusalem Israel Algorithm Engineering Department of Research and Development Oridion Medical

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Low-Complexity Channel Estimation for Massive MIMO Systems with Decentralized Baseband Processing

arXiv

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arXiv 2022年

作者： Xu, Yanqing Wang, Bo Song, Enbin Shi, Qingjiang Chang, Tsung-Hui The School of Science and Engineering The Chinese University of Hong Kong Shenzhen China The Shenzhen Research Institute of Big Data Shenzhen518172 China The Wireless Network RAN Algorithm Department Xi’an Huawei Technologies Co. Ltd. Xi’an710000 China The College of Mathematics School of Aeronautics and Astronautics Sichuan University Sichuan Chengdu610064 China The School of Software Engineering Tongji University Shanghai201804 China

The traditional centralized baseband processing architecture is faced with the bottlenecks of high computation complexity and excessive fronthaul communication, especially when the number of antennas at the base station (BS) is large. To cope with these two challenges, the decentralized baseband processing (DPB) architecture has been proposed, where the BS antennas are partitioned into multiple clusters and each is connected to a local baseband unit (BBU). In this paper, we are interested in the low-complexity distributed channel estimation (CE) method under such DBP architecture, which is rarely studied in the literature. The aim is to devise distributed CE algorithms that can perform as well as the centralized scheme but with a small inter-BBU communication cost. Specifically, based on the low-complexity diagonal minimum mean square error channel estimator, we propose two distributed CE algorithms, namely the aggregate-then-estimate algorithm and the estimate-then-aggregate algorithm. In contrast to the existing distributed CE algorithm which requires iterative information exchanges among the nodes, our algorithms only require one roundtrip communication among BBUs. Extensive experiment results are presented to demonstrate the advantages of the proposed distributed CE algorithms in terms of estimation accuracy, inter-BBU communication cost and computation complexity. Copyright © 2022, The Authors. All rights reserved.

关键词： Channel estimation

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Applications of Evolutionary Computation 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Cecilia Chio Stefano Cagnoni Carlos Cotta Marc Ebner Anikó Ekárt Anna I. Esparcia-Alcázar Juan J. Merelo Ferrante Neri Mike Preuss Hendrik Richter Julian Togelius Georgios N. Yannakakis

ISBN: (数字)9783642205255

ISBN: (纸本)9783642205248

This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC. The 36 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.

关键词： Computation by Abstract Devices Programming Techniques Computer Communication Networks Math Applications in Computer Science Image Processing and Computer Vision Artificial Intelligence

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An Intelligent Age of Information Based Self-Energized Uav-Assisted Wireless Communication System

SSRN

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SSRN 2022年

作者： Jeganathan, Anandpushparaj Dhayabaran, Balaji Jayakody, Dushantha Nalin K. Ranchagodage Don, Sanjaya Arunapriya Muthuchidambaranathan, P. Department of Electronics and Communication Engineering National Institute of Technology Tiruchirappalli620015 India Senior Member Technical Staff Baseband Algorithm Development Team Saankhya Labs Private Limited Bengaluru560001 India Centro de Investigaçä em Tecnologias Autónoma TechLab Universidade Autónoma Lisboa Portugal School of Computer Science and Robotics National Research Tomsk Polytechnic University Tomsk Russia Centre for Telecommunication Research School of Engineering Sri Lanka Technological Campus Padukka 10500 Sri Lanka

Internet-of-things (IoT) is an enabling technology in the fourth generation industrial revolution. An unified performance metric named age of information (AoI) is introduced to quantify the freshness of data and its applications. Thus, this paper study the combination of AoI and full-duplex enabled unmanned aerial vehicle (FD-UAV) as a promising solution to improve latency and spectrum efficiency of a wireless powered sensor network. A sensor node (SN), located in a transport infrastructure, harvests energy from radio frequency signals transmitted by the FD-UAV. This uses to transmit real time sensor observations to the data sink via FD-UAV. The SN generates an update after replenished the battery and transmits by using the harvested energy. A closed-form expression for average AoI (AAoI) is derived as a function of time allocated for energy harvesting (EH). The optimal time allocation for EH that maximizes the freshness of data update is identified. Deep learning algorithms such as Long-Short Term Memory (LSTM) is used to predict the AAoI. Simulation results demonstrate the usefulness performance bounds in-terms of freshness of data updates. © 2022, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results

MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods...

引用

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Xin Jin Chunle Guo Xiaoming Li Zongsheng Yue Chongyi Li Shangchen Zhou Ruicheng Feng Yuekun Dai Peiqing Yang Chen Change Loy Ruoqi Li Chang Liu Ziyi Wang Yao Du Jingjing Yang Long Bao Heng Sun Xiangyu Kong Xiaoxia Xing Jinlong Wu Yuanyang Xue Hyunhee Park Sejun Song Changho Kim Jingfan Tan Wenhan Luo Zikun Liu Mingde Qiao Junjun Jiang Kui Jiang Yao Xiao Chuyang Sun Jinhui Hu Weijian Ruan Yubo Dong Kai Chen Hyejeong Jo Jiahao Qin Bingjie Han Pinle Qin Rui Chai Pengyuan Wang VCIP CS Nankai University S-Lab Nanyang Technological University Camera Department Video Algorithm Group Xiaomi Inc. China Samsung Research China - Beijing (SRC-B) Department of Camera Innovation Group Samsung Electronics Sun Yat-sen University Harbin Institute of Technology China Smart City Research Institute of China Electronics Technology Group Corporation Xidian University Xi’an China Nanyang Technological University Singapore University of Electronic Science and Technology of China China National Hanbat University Daejeon South Korea North University of China China

ISBN: (数字)9798350365474

ISBN: (纸本)9798350365481

The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems. However, the scarcity of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging (MIPI). Building on the achievements of the previous MIPI Workshops held at ECCV 2022 and CVPR 2023, we introduce our third MIPI challenge including three tracks focusing on novel image sensors and imaging algorithms. In this paper, we summarize and review the Few-shot RAW Image Denoising track on MIPI 2024. In total, 165 participants were successfully registered, and 7 teams submitted results in the final testing phase. The developed solutions in this challenge achieved state-of-the-art performance on Few-shot RAW Image Denoising. More details of this challenge and the link to the dataset can be found at https://***/MIPI2024.

关键词： Training Photography Image sensors Reviews Conferences Noise reduction Focusing

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FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation

arXiv

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arXiv 2022年

作者： Liang, Jin Yang, Yuchen Zhang, Anran Xu, Jun Li, Hui Zhen, Xiantong School of Statistics and Data Science Nankai University Tianjin300071 China School of Mathematics Science Nankai University Tianjin300071 China Guangdong University of Petrochemical Technology Guangdong Maoming China Key Laboratory of Advanced Technology of Near Space Information System Beihang University Beijing China Imaging Algorithm Research Department vivo Mobile Communication Co. Ltd. Shenzhen518101 China

关键词： Image enhancement

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Fcnet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation

SSRN

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SSRN 2023年

作者： Liang, Jin Yang, Yuchen Zhang, Anran Li, Hui Zhen, Xiantong Xu, Jun School of Statistics and Data Science Nankai University Tianjin300071 China School of Mathematics Science Nankai University Tianjin300071 China Guangdong University of Petrochemical Technology Guangdong Maoming China Key Laboratory of Advanced Technology of Near Space Information System Beihang University Beijing China Imaging Algorithm Research Department Vivo Mobile Communication Co. Ltd. Shenzhen518101 China

The photographs captured by digital cameras usually suffer from over or under exposure problems. For image exposure enhancement, the tasks of Single-Exposure Correction (SEC) and Multi-Exposure Fusion (MEF) are widely studied in the image processing ***, current SEC or MEF methods are developed under different motivations and thus ignore the internal correlation between SEC and MEF, making it difficult to process arbitrary-length sequences with improper ***, the MEF methods usually fail at estimating the exposure of a sequence containing only under-exposed or over-exposed *** alleviate these problems, in this paper, we develop a novel Fusion-Correction Network (FCNet) to tackle an arbitrary-length (including one) image sequence with improper *** is achieved by fusing and correcting an image sequence by Laplacian Pyramid (LP) image *** each LP level, the low-frequency base component of the input image sequence is fed into a Fusion block and a Correction block sequentially for consecutive exposure estimation, implemented by alternative exposure fusion and *** exposure-corrected image in current LP level is upsampled and fused with the high-frequency detail components of the input image sequence in the next LP level, to output the base component for the Fusion and Correction blocks in next LP *** on the benchmark dataset~\cite{afifi2021learning} demonstrate that our FCNet is effective on arbitrary-length exposure estimation, including both SEC and *** code is publicly released at \url{https://***/NKUJinLiang/FCNet}. © 2023, The Authors. All rights reserved.

关键词： Image fusion

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Comparison of QT heart rate correction methods during drug-induced QT prolongation in rabbit

引用

Journal of Electrocardiology 2013年第6期46卷 622-622页

作者： Chengzong Han Bin He Steve Pogwizd Saeed Babaeizadeh Advanced Algorithm Research Center Philips Healthcare Andover MA USA Department of Biomedical Engineering University of Minnesota Minneapolis MN USA Department of Medicine University of Alabama at Birmingham Birmingham AL USA

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A METHOD FOR ALGEBRAIC ANALYSIS OF THE TLM algorithm

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INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 1995年第1期8卷 61-71页

作者： WITWIT, ARM WILKINSON, AJ PULKO, SH Department of Electronic Engineering The University of Hull Hull HU6 7RX U.K. Abdul Mehdi Witwit was born in Babylon in 1965. He graduated in Electronic Engineering from the Univeristy of Hull in 1990. He has recently submitted his Ph.D. thesis on the topic of meshing in TLM diffusion problems. Anthony James Wilkinson graduated from the niversity of Hull with a B.Sc. in Electronic Engineering in 1982 and a Ph.D. in adaptive control in 1987. He is currently a lecturer in the Department of Electronic Engineering where his research interests include TLM algorithms and computer control of magnetostrictive actuation. Susan Pulko obtained a B.Sc. in physics together with an ARCS from Imperial College (London) in 1977. This was followed by a Ph.D. from the University of Nottingham in 1981. Her current research interests centre on the TLM algorithm and on its application to a range of physical processes especially as applied to manufacturing. Current work involves development of the algorithm itself and TLM applications in the glass and ceramic industries.

An analogy is described between the TLM algorithm and discrete state-space control theory. The analogy is used to derive the characteristic equations corresponding to parameterized model structures. Characteristic equations corresponding to several widely used node structures are derived by this means and found to be consistent with the observed behaviour of corresponding TLM models. An example is given of the use of the analogy in the predictive mode.

关键词： algorithms

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Numerical validation method for nonlinear equations using interval analysis and rational arithmetic

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1995年第7期78卷 99-112页

作者： Kashiwagi, M Oishi, S School of Science and Engineering Waseda University Tokyo Japan 169 Members Shin'ichi Oishi received his B.E. and Dr. of Eng. degrees in 1976 and 1981 respectively from Waseda University. Since 1980 he has been affiliated with Waseda University and ispresently Professor in the Department of Inf. Sch. Sci. Eng. He was a Visiting Researcher from March 1987 to March 1988 at the University of California Berkeley. He is engagedin research on mathematical information engineering focusing on nonlinear systems. He received the Paper Award in 1991. This paper proposes an algorithm with a guaranteed accuracy for the finite-dimensional nonlinear equation. First an algorithm is shown which can determine the interval containing the true solution based on the given approximiate solution. the method is based on the interval analysis and considers the representation error of the equation. Then the interval iteration method is shown which can arbitrarily reduce the interval. the rational number arithmetic is used and the rounding of the rational number is utilized effectively. Finally an experimental implementation of the algorithm on a computer is presented together with some numerical examples.

This paper proposes an algorithm with a guaranteed accuracy for the finite-dimensional nonlinear equation. First, an algorithm is shown which can determine the interval containing the true solution, based on the given approximate solution. The method is based on the interval analysis and considers the representation error of the equation. Then the interval iteration method is shown which can arbitrarily reduce the interval. The rational number arithmetic is used and the rounding of the rational number is utilized effectively. Finally, an experimental implementation of the algorithm on a computer is presented, together with some numerical examples.

关键词： numerical validation interval analysis rational arithmetic Krawczyk's interval function nonlinear equation

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