Results 261 to 270 of about 2,220,071 (341)
Some of the next articles are maybe not open access.
Malicious node detection via physical layer data
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, 2010There are many mechanisms that can cause inadequate or unreliable information in sensor networks. A user of the network might be interested in detecting and classifying specific sensors nodes causing these problems. There are many network layer based trust mechanisms in the literature to assess these issues; in contrast this work develops physical ...
Tyler J. Hardy +2 more
openaire +1 more source
Identification of Defective Nodes in Cyber-Physical Systems
2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2020Cyber-physical systems (CPSs) comprise physical systems or objects incorporated with computing functionalities and data storage systems. Different sensor nodes in a CPS communicate with each other and devices like actuators and microcontrollers regulate the physical systems through smart algorithms.
Vidushi Agarwal +3 more
openaire +1 more source
Cyber-Physical Systems Oriented Redundant Network Node
Proceedings of the 6th Conference on the Engineering of Computer Based Systems, 2019Paradigms shifts form centralized to distributed systems are impacting Enterprise Systems Architectures. The most relevant paradigms are "Internet of Things" and Cyber-Physical Systems". State of the art Enterprise Systems are designed to seamlessly integrate specific components, technologies, sensors and actuators, locally or geographically dispersed.
Mihnea Alexandru Moisescu +5 more
openaire +1 more source
Critical Nodes Detection in IoT-Based Cyber-Physical Systems
2022The new generation of fast, small, and energy-efficient devices that can connect to the internet are already used for different purposes in healthcare, smart homes, smart cities, industrial automation, and entertainment. One of the main requirements in all kinds of cyber-physical systems is a reliable communication platform.
Onur Ugurlu +2 more
openaire +1 more source
Wireless Camera Nodes on a Cyber-Physical System
Proceedings of the 10th International Conference on Distributed Smart Camera, 2016This paper describes the configuration of a networked control system with multiple distributed cameras as edge nodes of a cyber-physical system. The proposed architecture deploys multiple distributed on computer vision edge nodes capturing the motion of mobile robots to interact with people on the environment.
A. Gardel +4 more
openaire +1 more source
Ocean Bottom Multi-Physics Nodes – Next Reservoir Monitoring Step Forward?
2018 AAPG International Conference and Exhibition, 2018 Andrea Zerilli +5 more
openalex +2 more sources
A Physics-Guided Graph Convolution Neural Network for Optimal Power Flow
IEEE Transactions on Power SystemsThe data-driven method with strong approximation capabilities and high computational efficiency provides a promising tool for optimal power flow (OPF) calculation with stochastic renewable energy.
Maosheng Gao +3 more
semanticscholar +1 more source
Privacy preserving node selection: A physical layer approach
2015 49th Annual Conference on Information Sciences and Systems (CISS), 2015Distributed monitoring and sensing networks are ubiquitous in current technological systems. Security and efficiency of the data aggregation and fusion process are key determinants in the adoption of these systems. The principal thesis investigated in this paper is the role of privacy in providing security guarantees for such networks.
Shalabh Jain, John S. Baras
openaire +1 more source
Combustion theory and modelling
The high computational cost associated with solving for detailed chemistry poses a significant challenge for predictive computational fluid dynamics (CFD) simulations of turbulent reacting flows.
Tadbhagya Kumar, Anuj Kumar, Pinaki Pal
semanticscholar +1 more source
The high computational cost associated with solving for detailed chemistry poses a significant challenge for predictive computational fluid dynamics (CFD) simulations of turbulent reacting flows.
Tadbhagya Kumar, Anuj Kumar, Pinaki Pal
semanticscholar +1 more source
Generative hyperelasticity with physics-informed probabilistic diffusion fields
Engineering computations, 2023Many natural materials exhibit highly complex, nonlinear, anisotropic, and heterogeneous mechanical properties. Recently, it has been demonstrated that data-driven strain energy functions possess the flexibility to capture the behavior of these complex ...
Vahidullah Tac +4 more
semanticscholar +1 more source