Results 21 to 30 of about 4,877,993 (303)
IEEE Access, 2020 As a key characteristic for industrial wireless sensor networks, deterministic scheduling aims to ensure that real-time data flows arrive at destination devices under deadline constraints by allocating necessary communication resources, such as time ...
Heng Wang +3 more
doaj +1 more source
Security Issues on Industrial Internet of Things: Overview and Challenges
, 2023 The Industrial Internet of Things (IIoT), where numerous smart devices associated with sensors, actuators, computers, and people communicate with shared networks, has gained advantages in many fields, such as smart manufacturing, intelligent ...
Yu Sun +3 more
core +1 more source
Machines, 2022 Under variable working conditions, the tool status signal is affected by changing machine processing parameters, resulting in a decreased prediction accuracy of the remaining useful life (RUL).
Qingqing Huang +5 more
doaj +1 more source
An Aggregative High-Order Singular Value Decomposition Method in Edge Computing
IEEE Access, 2020 In edge computing, for dimensionality reduction and core data extraction, both edge computing node (ECN) and cloud server may implement a high-order singular value decomposition (HOSVD) algorithm before data are passed to local computing models. However,
Junhua Chen +3 more
doaj +1 more source
Industrial Software Integration and Identification Resolution Path
中国工程科学, 2022 Industrial software integration is the foundation to support the production and digital transformation of industrial enterprises. It is also the core for realizing product lifecycle management.
Wang Zhaoyang +4 more
doaj +1 more source
Challenges and Opportunities in Securing the Industrial Internet of Things
, 2022 S.2985-2996Given the tremendous success of the Internet of Things in interconnecting consumer devices, we observe a natural trend to likewise interconnect devices in industrial settings, referred to as industrial Internet of Things or Industry 4.0. While
Schuba, M. +4 more
core +1 more source
Tool Wear Prediction Based on a Multi-Scale Convolutional Neural Network with Attention Fusion
Information, 2022 Compared with traditional machine learning algorithms, the convolutional neural network (CNN) has an excellent automatic feature learning ability and can complete the nonlinear representation from original data input to output by itself. However, the CNN
Qingqing Huang +4 more
doaj +1 more source
Research on Leakage Location of Pipeline Based on Module Maximum Denoising
Applied Sciences, 2022 Leak detection and location of water supply pipelines is an important area of research, and it is especially important to find the leakage location in time and repair them.
Yuanmin Zhang, Zhu Jiang, Junfeng Lu
doaj +1 more source
Industrial Internet of the things
, 2019 This chapter focuses on several topics related to the industrial Internet of the things (IIoT). Starting with current loop signalling in industrial plants and fmishing with wireless networks, the main strengths, weaknesses, opportunities and threats of IIoT are underlined.
Viegas, Vítor +1 more
openaire +2 more sources
A Lightweight XMPP Publish/Subscribe Scheme for Resource-Constrained IoT Devices
IEEE Access, 2017 The development of wireless technology like Internet Protocol version 6 over Low power Wireless Personal Area Networks, which defines IP communication for resource-constrained networks enables communication on the lower layers, while the diverging and ...
Heng Wang +3 more
doaj +1 more source