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Correction: Soil type identification model using a hybrid computer vision and machine learning approach

Multimedia Tools and Applications 2023年第1期83卷 591-591页

作者： Abeje, Bekalu Tadele Salau, Ayodeji Olalekan Gela, Belsti Mulualem Mengistu, Abrham Debasu Department of Information Technology Haramaya University Dire Dawa Ethiopia Department of Electrical/Electronics and Computer Engineering Afe Babalola University Ado- Ekiti Nigeria Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Network and Systems Administrator Bahir Dar University Institute of Technology Bahir Dar Ethiopia Department of Computer Science Institute of Technology Bahir Dar University Bahir Dar Ethiopia

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Wireless Avionics Intra-Communications: A Survey of Benefits, Challenges, and Solutions

arXiv

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arXiv 2020年

作者： Park, Pangun Marco, Piergiuseppe Di Nah, Junghyo Fischione, Carlo Department of Radio and Information Communications Engineering Chungnam National University Korea Republic of Department of Information Engineering Computer Science and Mathematics University of L’Aquila Italy Department of Electrical Engineering Chungnam National University Korea Republic of Department of Network and Systems Engineering School of Engineering KTH Royal Institute of Technology Sweden

In the aeronautics industry, wireless avionics intra-communications have a tremendous potential to improve efficiency and flexibility while reducing the weight, fuel consumption, and maintenance costs over traditional wired avionics systems. This survey starts with an overview of the major benefits and opportunities in the deployment of wireless technologies for critical applications of an aircraft. The current state-of-art is presented in terms of system classifications based on data rate demands and transceiver installation locations. We then discuss major technical challenges in the design and realization of the envisioned aircraft applications. Although wireless avionics intra-communication has aspects and requirements similar to mission-critical applications of industrial automation, it also has specific issues such as complex structures, operations, and safety of the aircraft that make this area of research self-standing and challenging. To support the critical operations of an aircraft, existing wireless standards for mission-critical industrial applications are briefly discussed to investigate the applicability of the current solutions. Specifically, IEEE 802.15.4-based protocols and Bluetooth are discussed for low data rate applications, whereas IEEE 802.11-based standards are considered for high data rate applications. Eventually, we propose fundamental schemes in terms of network architecture, protocol, and resource management to support the critical avionics applications and discuss the research directions in this emerging area. Copyright © 2020, The Authors. All rights reserved.

关键词： Real time systems

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Intrablock interleaving for Batched network coding with blockwise adaptive recoding

arXiv

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arXiv 2021年

作者： Yin, Hoover H.F. Ng, Ka Hei Zhong, Allen Z. Yeung, Raymond W. Yang, Shenghao Chan, Ian Y.Y. The N-hop Technologies Limited Hong Kong The Institute of Network Coding The Chinese University of Hong Kong Hong Kong The Department of Information Engineering The Chinese University of Hong Kong Hong Kong Limited The Department of Physics The Chinese University of Hong Kong Hong Kong The Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong The School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Shenzhen Key Laboratory of IoT Intelligent Systems and Wireless Network Technology Shenzhen Research Institute of Big Data Shenzhen China The Department of Economics The Chinese University of Hong Kong Hong Kong

Batched network coding (BNC) is a low-complexity solution to network transmission in multi-hop packet networks with packet loss. BNC encodes the source data into batches of packets. As a network coding scheme, the intermediate nodes perform recoding on the received packets belonging to the same batch instead of just forwarding them. A recoding scheme that may generate more recoded packets for batches of a higher rank is also called adaptive recoding. Meanwhile, in order to combat burst packet loss, the transmission of a block of batches can be interleaved. Stream interleaving studied in literature achieves the maximum separation among any two consecutive packets of a batch, but permutes packets across blocks and hence cannot bound the buffer size and the latency. To resolve the issue of stream interleaver, we design an intrablock interleaver for adaptive recoding that can preserve the advantages of using a block interleaver when the number of recoded packets is the same for all batches. We use potential energy in classical mechanics to measure the performance of an interleaver, and propose an algorithm to optimize the interleaver with this performance measure. Our problem formulation and algorithm for intrablock interleaving are also of independent interest. © 2021, CC BY-NC-ND.

关键词： network coding

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A unified adaptive recoding framework for Batched network coding

arXiv

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arXiv 2021年

作者： Yin, Hoover H.F. Tang, Bin Ng, Ka Hei Yang, Shenghao Wang, Xishi Zhou, Qiaoqiao The N-hop Technologies Limited Hong Kong The Institute of Network Coding The Chinese University of Hong Kong Hong Kong The School of Computer and Information Hohai University Nanjing China The Department of Physics The Chinese University of Hong Kong Hong Kong The School of Science and Engineering The Chinese University of Hong Kong Shenzhen China Shenzhen Key Laboratory of IoT Intelligent Systems and Wireless Network Technology Shenzhen Research Institute of Big Data Shenzhen China The Department of Information Engineering The Chinese University of Hong Kong Hong Kong

Batched network coding is a variation of random linear network coding which has low computational and storage costs. In order to adapt to random fluctuations in the number of erasures in individual batches, it is not optimal to recode and transmit the same number of packets for all batches. Different distributed optimization models, which are called adaptive recoding schemes, were formulated for this purpose. The key component of these optimization problems is the expected value of the rank distribution of a batch at the next network node, which is also known as the expected rank. In this paper, we put forth a unified adaptive recoding framework with an arbitrary recoding field size. We show that the expected rank functions are concave when the packet loss pattern is a stationary stochastic process, which covers but not limited to independent packet loss and Gilbert-Elliott packet loss model. Under this concavity assumption, we show that there always exists a solution which not only can minimize the randomness on the number of recoded packets but also can tolerate rank distribution errors due to inaccurate measurements or limited precision of the machine. We provide an algorithm to obtain such an optimal optimal solution, and propose tuning schemes that can turn any feasible solution into a desired optimal solution. © 2021, CC BY-NC-ND.

关键词： Packet loss

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OPTIMAL LOCKDOWN FOR PANDEMIC CONTROL

arXiv

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arXiv 2020年

作者： Ma, Qianqian Liu, Yang-Yu Olshevsky, Alex Department of Electrical and Computer Engineering Boston University BostonMA United States Channing Division of Network Medicine Brigham and Women’s Hospital Harvard Medical School BostonMA02115 United States Department of Electrical and Computer Engineering Division of Systems Engineering Boston University BostonMA United States

As a common strategy of contagious disease containment, lockdowns will inevitably weaken the economy. The ongoing COVID-19 pandemic underscores the trade-off arising from public health and economic cost. An optimal lockdown policy to resolve this trade-off is highly desired. Here we propose a mathematical framework of pandemic control through an optimal stabilizing non-uniform lockdown, where our goal is to reduce the economic activity as little as possible while decreasing the number of infected individuals at a prescribed rate. This framework allows us to efficiently compute the optimal stabilizing lockdown policy for general epidemic spread models, including both the classical SIS/SIR/SEIR models and a new model of COVID-19 transmissions. We demonstrate the power of this framework by analyzing publicly available data of inter-county travel frequencies to analyze a model of COVID-19 spread in the 62 counties of New York State. We find that an optimal stabilizing lockdown based on epidemic status in April 2020 would have reduced economic activity more stringently outside of New York City compared to within it, even though the epidemic was much more prevalent in New York City at that point. Such a counterintuitive result highlights the intricacies of pandemic control and sheds light on future lockdown policy design. Copyright © 2020, The Authors. All rights reserved.

关键词： Epidemiology

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Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts

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Science China(Information Sciences) 2021年第1期64卷 5-78页

作者： Xiaohu YOU Cheng-Xiang WANG Jie HUANG Xiqi GAO Zaichen ZHANG Mao WANG Yongming HUANG Chuan ZHANG Yanxiang JIANG Jiaheng WANG Min ZHU Bin SHENG Dongming WANG Zhiwen PAN Pengcheng ZHU Yang YANG Zening LIU Ping ZHANG Xiaofeng TAO Shaoqian LI Zhi CHEN Xinying MA Chih-Lin I Shuangfeng HAN Ke LI Chengkang PAN Zhimin ZHENG Lajos HANZO Xuemin (Sherman) SHEN Yingjie Jay GUO Zhiguo DING Harald HAAS Wen TONG Peiying ZHU Ganghua YANG Jun WANG Erik G.LARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN Zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue GAO H.Vincent POOR Gerhard P.FETTWEIS Ying-Chang LIANG National Mobile Communications Research Laboratory School of Information Science and EngineeringSoutheast University Purple Mountain Laboratories Shanghai Institute of Fog Computing Technology (SHIFT) ShanghaiTech University Research Center for Network Communication Peng Cheng Laboratory State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunications National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China (UESTC) China Mobile Research Institute School of Electronics and Computer Science University of Southampton Department of Electrical and Computer Engineering University of Waterloo Global Big Data Technologies Centre (GBDTC) University of Technology Sydney School of Electrical and Electronic Engineering The University of Manchester LiFi Research and Development Centre Institute for Digital CommunicationsSchool of EngineeringThe University of Edinburgh Huawei Technologies Canada Co. Ltd. Huawei Technologies Department of Electrical Engineering (ISY) Link?ping University Institute of Electronics Communications & Information Technology (ECIT)Queen's University Belfast State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast University School of Electrical and Computer Engineering Georgia Institute of Technology 5G Innovation Centre University of Surrey Princeton University Vodafone Chair Mobile Communications Systems Technische Universit?t Dresden Center for Intelligent Networking and Communications (CINC) University of Electronic Science and Technology of China (UESTC)

The fifth generation(5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability,and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation(6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle(UAV) communication networks, thus achieving a space-airground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6GHz, millimeter wave(mmWave), terahertz(THz),and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence(AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable f

关键词： 6G vision network architecture air interface and transmission technologies space-air-ground-sea integrated network all spectra artificial intelligence network security

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Unveiling the Importance of Nonshortest Paths in Quantum networks

arXiv

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arXiv 2024年

作者： Hu, Xinqi Dong, Gaogao Christensen, Kim Sun, Hanlin Fan, Jingfang Tian, Zihao Gao, Jianxi Havlin, Shlomo Lambiotte, Renaud Meng, Xiangyi School of Mathematical Sciences Jiangsu University Jiangsu Zhenjiang212013 China Blackett Laboratory Centre for Complexity Science Imperial College London LondonSW7 2AZ United Kingdom Nordita KTH Royal Institute of Technology Stockholm University Hannes Alfvéns väg 12 StockholmSE-106 91 Sweden School of Systems Science Institute of Nonequilibrium Systems Beijing Normal University Beijing100875 China School of Management and Engineering Nanjing University Nanjing210093 China Network Science and Technology Center Rensselaer Polytechnic Institute TroyNY12180 United States Department of Computer Science Rensselaer Polytechnic Institute TroyNY12180 United States Department of Physics Bar-Ilan University Ramat Gan52900 Israel Mathematical Institute University of Oxford OxfordOX2 6GG United Kingdom Turing Institute LondonNW1 2DB United Kingdom Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute TroyNY12180 United States

Quantum networks (QNs) exhibit stronger connectivity than predicted by classical percolation, yet the origin of this phenomenon remains unexplored. We apply a statistical physics model—concurrence percolation—to uncover the origin of stronger connectivity on hierarchical scale-free networks, the (U, V) flowers. These networks allow full analytical control over path connectivity through two adjustable path-length parameters, U ≤ V. This precise control enables us to determine critical exponents well beyond current simulation limits, revealing that classical and concurrence percolations, while both satisfying the hyperscaling relation, fall into distinct universality classes. This distinction arises from how they "superpose" parallel, nonshortest path contributions into overall connectivity. Concurrence percolation, unlike its classical counterpart, is sensitive to nonshortest paths and shows higher resilience to detours as these paths lengthen. This enhanced resilience is also observed in real-world hierarchical, scale-free Internet networks. Our findings highlight a crucial principle for QN design: when nonshortest paths are abundant, they notably enhance QN connectivity beyond what is achievable with classical percolation. © 2024, CC BY.

关键词： Percolation (computer storage)

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Clinician-Prioritized Measures to Use in a Remote Concussion Assessment: Delphi Study

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JMIR Formative Research 2024年 8卷 e47246页

作者： Barnes, Keely Sveistrup, Heidi Bayley, Mark Egan, Mary Bilodeau, Martin Rathbone, Michel Taljaard, Monica Marshall, Shawn School of Rehabilitation Sciences Faculty of Health Sciences University of Ottawa Ottawa ON Canada Bruyère Research Institute Ottawa ON Canada Clinical Epidemiology Program Ottawa Hospital Research Institute Ottawa ON Canada University of Ottawa Faculty of Health Sciences School of Human Kinetics Ottawa ON Canada Carleton University Systems and Computer Engineering Technology Ottawa ON Canada Kite Research Institute Toronto Rehabilitation Institute University Health Network Toronto ON Canada Division of Physical Medicine and Rehabilitation Temerty Faculty of Medicine University of Toronto Toronto ON Canada Division of Neurology Department of Medicine Faculty of Health Sciences McMaster University Hamilton ON Canada School of Epidemiology and Public Health University of Ottawa Ottawa ON Canada Department of Medicine University of Ottawa Ottawa ON Canada

Background: There is little guidance available, and no uniform assessment battery is used in either in-person or remote evaluations of people who are experiencing persistent physical symptoms post concussion. Selecting the most appropriate measures for both in-person and remote physical assessments is challenging because of the lack of expert consensus and guidance. Objective: This study used expert consensus processes to identify clinical measures currently used to assess 5 physical domains affected by concussion (neurological examination, cervical spine, vestibular, oculomotor, or effort) and determine the feasibility of applying the identified measures virtually. Methods: The Delphi approach was used. In the first round, experienced clinicians were surveyed regarding using measures in concussion assessment. In the second round, clinicians reviewed information regarding the psychometric properties of all measures identified in the first round by at least 15% (9/58) of participants. In the second round, experts rank-ordered the measures from most relevant to least relevant based on their clinical experience and documented psychometric properties. A working group of 4 expert clinicians then determined the feasibility of virtually administering the final set of measures. Results: In total, 59 clinicians completed survey round 1 listing all measures they used to assess the physical domains affected by a concussion. The frequency counts of the 146 different measures identified were determined. Further, 33 clinicians completed the second-round survey and rank-ordered 22 measures that met the 15% cutoff criterion retained from round 1. Measures ranked first were coordination, range of motion, vestibular ocular motor screening, and smooth pursuits. These measures were feasible to administer virtually by the working group members;however, modifications for remote administration were recommended, such as adjusting the measurement method. Conclusions: Clinicians ranked asses

关键词： assessment brain injury concussion Delphi examination measure measurement measures mild traumatic brain injury mobile phone mTBI remote care remote care TBI telehealth telemedicine traumatic brain injury

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GraphEdge: Dynamic graph partition and task scheduling for GNNs computing in edge network

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Information Fusion 2025年 124卷

作者： Wenjing Xiao Chenglong Shi Miaojiang Chen Zhiquan Liu Min Chen H. Herbert Song School of Computer Electronics and Information Guangxi University Nanning 530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology Nanning 530004 China College of Cyber Security Jinan University Guangzhou 510632 China School of Computer Science and Engineering South China University of Technology Guangzhou 510006 China Pazhou Laboratory Guangzhou 510330 China Department of Information Systems University of Maryland Baltimore County (UMBC) Baltimore MD 21250 USA

With the exponential growth of Internet of Things (IoT) devices, edge computing (EC) is gradually playing an important role in providing cost-effective services. However, existing approaches struggle to perform well in graph-structured scenarios where user data is correlated, such as traffic flow prediction and social relationship recommender systems. In particular, graph neural network (GNN)-based approaches lead to expensive server communication cost. To address this problem, we propose GraphEdge, an efficient GNN-based EC architecture. It considers the EC system of GNN tasks, where there are associations between users and it needs to take into account the task data of its neighbors when processing the tasks of a user. Specifically, the architecture first perceives the user topology and represents their data associations as a graph layout at each time step. Then the graph layout is optimized by calling our proposed hierarchical traversal graph cut algorithm (HiCut), which cuts the graph layout into multiple weakly associated subgraphs based on the aggregation characteristics of GNN, and the communication cost between different subgraphs during GNN inference is minimized. Finally, based on the optimized graph layout, our proposed deep reinforcement learning (DRL) based graph offloading algorithm (DRLGO) is executed to obtain the optimal offloading strategy for the tasks of users, the offloading strategy is subgraph-based, it tries to offload user tasks in a subgraph to the same edge server as possible while minimizing the task processing time and energy consumption of the EC system. Experimental results show the good effectiveness and dynamic adaptation of our proposed architecture and it also performs well even in dynamic scenarios.

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metasnf: Meta Clustering with Similarity network Fusion in R

arXiv

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arXiv 2024年

作者： Velayudhan, Prashanth S. Xu, Xiaoqiao Kallurkar, Prajkta Balbon, Ana Patricia Secara, Maria T. Taback, Adam Sabac, Denise Chan, Nicholas Ma, Shihao Wang, Bo Felsky, Daniel Ameis, Stephanie H. Cox, Brian Hawco, Colin Erdman, Lauren Wheeler, Anne L. The Hospital for Sick Children TorontoON Canada Department of Physiology The University of Toronto TorontoON Canada Centre for Computational Medicine Hospital for Sick Children TorontoON Canada Department of Obstetrics and Gynecology University of Toronto TorontoON Canada Campbell Family Mental Health Research Institute Centre for Addiction and Mental Health TorontoON Canada Institute of Medical Science University of Toronto TorontoON Canada The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto TorontoON Canada Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health TorontoON Canada Division of Rheumatology Hospital for Sick Children TorontoON Canada Vector Institute TorontoON Canada Department of Computer Science University of Toronto TorontoON Canada Peter Munk Cardiac Centre University Health Network TorontoON Canada Department of Medical Biophysics University of Toronto TorontoON Canada Division of Biostatistics Dalla Lana School of Public Health University of Toronto TorontoON Canada Department of Psychiatry University of Toronto TorontoON Canada Department of Anthropology University of Toronto TorontoON Canada Department of Psychiatry Temerty Faculty of Medicine University of Toronto TorontoON Canada Department of Psychiatry The Hospital for Sick Children TorontoON Canada Division of Gastroenterology Department of Pediatrics Cincinnati Children’s Hospital Medical Center University of Cincinnati College of Medicine CincinnatiOH United States James M. Anderson Center for Health Systems Excellence Cincinnati Children’s Hospital Medical Center CincinnatiOH United States Department of Pediatrics University of Cincinnati College of Medicine CincinnatiOH United States

metasnf is an R package that enables users to apply meta clustering, a method for efficiently searching a broad space of cluster solutions by clustering the solutions themselves, to clustering workflows based on similarity network fusion (SNF). SNF is a multi-modal data integration algorithm commonly used for biomedical subtype discovery. The package also contains functions to assist with cluster visualization, characterization, and validation. This package can help researchers identify SNF-derived cluster solutions that are guided by context-specific utility over context-agnostic measures of quality. Copyright © 2024, The Authors. All rights reserved.

关键词： Cluster analysis

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