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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

共 30781 条记录，以下是781-790 订阅

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Concept for a distributed Picking Application Utilizing Robotics and Digital Twins 27

Concept for a Distributed Picking Application Utilizing Robo...

引用

ieee 27th international conference on Emerging Technologies and Factory Automation (ETFA)

作者： Riedlinger, Marc A. Tamizi, Mehran Ghafarian Tikekar, Juilee Redeker, Magnus Fraunhofer Inst Optron Syst Technol & Image Explo IOSB INA Lemgo Fraunhofer IOSB Lemgo Germany Univ Victoria Victoria BC Canada

ISBN: (数字)9781665499965

ISBN: (纸本)9781665499965

The following paper describes a concept for a grasping application which utilizes technologies from the fields of distributed computing, robotics and Digital Twins in the sense of Industry 4.0. Hereby, the goal of the application is to have a computer vision system detect toy bricks which a robot has to pick and pass to a user. The application is divided into loosely coupled and distributed services that communicate with one another using a message broker.

关键词： distributed computing Robotics Digital Twin

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A Survey on Consensus Algorithms for distributed Wireless Networks

A Survey on Consensus Algorithms for Distributed Wireless Ne...

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2024 international conference Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Ji, Jun Cheng Lam, Chan Tong Ng, Benjamin Faculty of Applied Sciences Macao Polytechnic University China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

A distributed wireless communication system consists of multiple nodes. Due to the diversified resources and environmental conditions for each node, a consensus-based algorithm can be used to solve the conflicts in the wireless communication system so that each node can reach a consensus based on a consistent algorithm and a consistent result. In particular, the channel quality, signal strength, energy consumption, protocol delay, security, and reliability can be improved. Consensus algorithms can also be applied for channel decision-making, authentication problems, message routing problems, and fault tolerance problems. Consensus algorithms are becoming essential for safe and more reliable wireless communication systems. Focusing on consensus algorithms from the perspective of wireless communication applications, the survey compares current trends and emerging research opportunities in consensus algorithms. Finally, we provide future research directions for consensus algorithms for distributed wireless networks. © 2025 SPIE.

关键词： Block Chain Consensus Algorithm distributed computing Federated Learning Wireless Communication

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Awake-Efficient distributed Algorithms for Maximal Independent Set 42

Awake-Efficient Distributed Algorithms for Maximal Independe...

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42nd ieee international conference on distributed computing systems (ICDCS)

作者： Hourani, Khalid Pandurangan, Gopal Robinson, Peter Univ Houston Dept Comp Sci Houston TX 77004 USA Augusta Univ Sch Comp & Cyber Sci Augusta GA USA

ISBN: (数字)9781665471770

ISBN: (纸本)9781665471770

We present a simple algorithmic framework for designing efficient distributed algorithms for the fundamental symmetry breaking problem of Maximal Independent Set (MIS) in the sleeping model [Chatterjee et al, PODC 2020]. In the sleeping model, only the rounds in which a node is awake are counted for the awake complexity, while sleeping rounds are ignored. This is motivated by the fact that a node spends resources only in its awake rounds and hence the goal is to minimize the awake complexity. Our framework allows us to design distributed MIS algorithms that have O (polyloglog(n)) (worst-case) awake complexity in certain important graph classes which satisfy the so-called adjacency property. Informally, the adjacency property guarantees that the graph can be partitioned into an appropriate number of classes so that each node has at least one neighbor belonging to every class. Graphs that can satisfy the adjacency property are random graphs with large clustering coefficient such as random geometric graphs as well as line graphs of regular (or near regular) graphs. We first apply our framework to design two randomized distributed MIS algorithms for random geometric graphs of arbitrary dimension d (even non-constant). The first algorithm has O(polyloglog n) (worst-case) awake complexity with high probability, where n is the number of nodes in the graph.' This means that any node in the network spends only O(polyloglog n) awake rounds;this is almost exponentially better than the (traditional) time complexity of O(log n) rounds (where there is no distinction between awake and sleeping rounds) known for distributed MIS algorithms on general graphs or even the faster O(root log n/log log n ) rounds known for Erdos-Renyi random graphs. log log n However, the (traditional) time complexity of our first algorithm is quite large-essentially proportional to the degree of the graph. Our second algorithm has a slightly worse awake complexity of O(d polyloglog n), but achieves a sig

关键词： Clustering algorithms Complexity theory Partitioning algorithms Time complexity distributed algorithms distributed computing

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Towards a Development Process for Multi-CPU distributed Synchronous Software Applications

Towards a Development Process for Multi-CPU Distributed Sync...

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ACM/ieee international conference on Model Driven Engineering Languages and systems (MODELS)

作者： Lubat, Eric Jenn, Eric Blouin, Dominique Kaufmann, Marc IRT St Exupery Toulouse France Inst Polytech Paris LTCI Telecom Paris Palaiseau France Safran Elect & Def Massy France

ISBN: (纸本)9798350324983

In the domain of safety critical real-time computing, the ever increasing demand for processing power and robust safety guarantees has fueled the development of solutions to support the development of multicore and multi-CPU distributed software architectures. These architectures offer the potential for achieving enhanced computational power by exploiting the high-level of hardware parallelism, but they also raise significant challenges in ensuring temporal guarantees, such as the absence of deadlocks and race conditions, compliance with time budgets, etc. In this paper we present our ongoing work of developing a workflow for developing multi-CPU software applications from high level requirements down to the integrated system. The workflow is supported by several models and is specified with the FTG+PM formalism. We illustrate the workflow using two industrial applications from the aeronautical domain.

关键词： MBSE Process Multi-CPU distributed Requirements

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Spiking Neural Network for Microseismic Events Detection Using distributed Acoustic Sensing Data 6th

Spiking Neural Network for Microseismic Events Detection Usi...

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6th international conference on Soft computing and Data Mining (SCDM)

作者： Bin Shahabudin, Mohd Safuwan Krishnan, Nor Farisha Binti Muhamad Mausor, Farahida Hanim Binti Univ Teknol PETRONAS Seri Iskandar 32610 Perak Malaysia

ISBN: (纸本)9783031669644;9783031669651

Microseismic detection events are critical in monitoring subsurface activities, including hydraulic fracturing, enhanced oil recovery, carbon dioxide, or natural gas geological storage and reservoir characterization, to guarantee safe and efficient energy extraction. This presents significant challenges as it generates large amounts of data. Despite the recent machine learning techniques being increasingly integrated into fiber-optic distributed acoustic sensor (DAS) systems to enhance their intelligent recognition capabilities, there is still a need to solve this. In some research, it has been observed that computational speed is time-consuming and overfitting, thus necessitating a more extensive investigation of this analysis. This study proposes a novel approach using DAS data to enhance microseismic event detection's precision, overfitting issue, and interpretability. This approach utilizes a specifically designed neural network architecture. The deep learning approach is highly effective for the real-time management of the substantial amounts of data recorded by DAS equipment. Three phases of research methodology are proposed. The contribution of this research is that spiking neural network architecture for microseismic detection will bring advancements in microseismic monitoring.

关键词： Deep Learning Signal Processing Microseismic Event Detection Spiking Neural Network distributed Acoustic Sensing

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Towards a Node Active Replication Schema for Highly Reliable distributed Control systems Based on TSN 29

Towards a Node Active Replication Schema for Highly Reliable...

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29th ieee international conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Evangelisti, Joan Barranco, Manuel Proenza, Julián Ballesteros, Alberto Jover, Mateu Universitat de les Illes Balears Departament de Ciències Matemàtiques i Informàtica Spain

ISBN: (纸本)9798350361230

Given their nature, many control applications that arise from the integration of Operation Technologies (OT) and Information Technologies (IT) are built on top of highly reliable real-time (RT) distributed Control systems (DCSs). Since a DCS is made up of several computing nodes that exchange information through a communication subsystem, to achieve high reliability it is necessary that both this subsystem and the service from the nodes are very reliable. To provide RT highly reliable communications while benefiting from Ethernet's advantages, Industry and Academia are pushing the Time-Sensitive Networking Ethernet standards (TSN). On the other hand, one of the most used strategies to ensure a highly reliable service from the nodes is to use fault tolerance in the form of active replication. Our general goal is to develop a complete fault-tolerant architecture (addressing faults both in the communication subsystem and in the nodes) for highly reliable real-time DCSs based on TSN. In this paper we show our ongoing work towards an active replication schema for the nodes of this architecture. © 2024 ieee.

关键词： distributed control system fault tolerance node replication reliability TSN

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Smart systems for Precision Agriculture, Environmental Protection and Healthcare 12

Smart Systems for Precision Agriculture, Environmental Prote...

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12th ieee international conference on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications, IDAACS 2023

作者： Romanov, Volodymyr Galelyuka, Igor Hrusha, Volodymyr Voronenko, Oleksandr Kovyrova, Oleksandra Antonova, Hanna Kedych, Anna V.M. Glushkov Institute of Cybernetics National Academy of Sciences of Ukraine Kyiv03187 Ukraine

The paper represents the result of developments of the Institute of Cybernetics of NAS of Ukraine in the field of smart systems for precision agriculture, environmental protection and healthcare. Main conceptions, str... 详细信息

ISBN: (纸本)9798350358056

关键词： digital agriculture environmental protection healthcare wireless sensor network

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Survey and Analysis of Anomaly Detection for Smart Home using Microcontroller 5

Survey and Analysis of Anomaly Detection for Smart Home usin...

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5th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2024

作者： Rami, Ruchika Malek, Zakiyabanu Gujrat Law Society Faculty of Computer Application IT Dept Gujrat Ahmedabad India Centennial College TorontoON Canada

ISBN: (纸本)9798350395235

An increasingly prominent issue in recent times is the utilization of the Internet of Things (IoT) for home automation systems. Home automation, also known as smart home technology, refers to the wireless and intelligent control and operation of various household appliances such as lights, fans, doors, refrigerators, and washing machines. In this system, all the devices are connected to the Internet and form a part of the Internet of Things (IoT) model. The objective of implementing a wireless sensor network-based home automation system is to effectively supervise and regulate various parameters such as voltage, current, and temperature. The primary goal of this research work is to minimize the energy utilization of a smart home. It enhances the efficiency of the control network. This study explores several home automation techniques and examines the manual control of these applications with the use of remote controls. © 2024 ieee.

关键词： Wireless sensor networks

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Alzheimer's Disease Detection Model Based on Multimodal Data Early Fusion of Medical Neuroimaging 25

Alzheimer's Disease Detection Model Based on Multimodal Data...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Wu, Shangxiao Qin, Sheng Wang, Kaiyang Yang, Su Zhang, Shiqi School of Electronic and Information Engineering Guangxi Normal University Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips Guilin China International Joint Audit Institute Nanjing Audit University Nanjing China Swansea University Department of Computer Science Swansea United Kingdom

ISBN: (纸本)9798350330014

Alzheimer's disease (AD) is a long-term neurodegenerative disease. The research in the field of AD is rapidly devel-oping, but most research methods are based on unimodal without considering the complementarity between different modes. In this work, a multimodal-based deep learning model is proposed for AD detection. Specifically, two medical neural image modes (i.e. magnetic resonance imaging and Positron emission computed to-mography) are used to fuse into a feature map. The convolutional block attention modules and convolutional neural networks are utilized to extract the features. A multilayer perceptron is used as a model classifier for the diagnostic classification of the learned AD features. To validate the model, experiments are conducted using the Alzheimer's Disease Neuroimaging Initiative dataset. Compared with existing AD diagnostic models, this work is better, and the accuracy of this model reaches 99.17%. It provides an optional solution for AD detection. © 2023 ieee.

关键词： Magnetic resonance imaging

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Overview of Task Offloading of Wireless sensor Network in Edge computing Environment 6

Overview of Task Offloading of Wireless Sensor Network in Ed...

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6th ieee international conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Hou, XiQiang Hu, YiFan Wang, Fuqiang School of Information and Control Engineering Qingdao University of Technology Qingdao China Shandong Computer Science Center Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798350399059

This review article introduces the concepts, server architecture and application scenarios of Mobile Edge computing (MEC) and Wireless sensor Network (WSN). By differentiating between rechargeable and non-rechargeable systems, it presents the research status of task offloading in WSN in an edge computing environment. Various strategies are analyzed and compared in terms of their characteristics and application domains. The existing methods can reduce offloading latency and energy consumption, but still face some issues. Based on this, the research hotspots of edge computing task offloading for WSN are summarized, and its research and development trends are pointed out. © 2023 ieee.

关键词： Energy harvesting

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