AIMC Topic: Computer Systems

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A Proactive Protection of Smart Power Grids against Cyberattacks on Service Data Transfer Protocols by Computational Intelligence Methods.

Sensors (Basel, Switzerland) Oct 3, 2022
The article discusses an approach to the construction and operation of a proactive system for protecting smart power grids against cyberattacks on service data transfer protocols. It is based on a combination of computational intelligence methods: id...
Neural Networks, Computer Software Computer Systems Fractals
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Improved Real-Time Fire Warning System Based on Advanced Technologies for Visually Impaired People.

Sensors (Basel, Switzerland) Sep 26, 2022
Early fire detection and notification techniques provide fire prevention and safety information to blind and visually impaired (BVI) people within a short period of time in emergency situations when fires occur in indoor environments. Given its direc...
Humans Artificial Intelligence Technology Computer Systems
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Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system.

Scientific reports Sep 7, 2022
The development of the advanced metering infrastructure (AMI) and the application of artificial intelligence (AI) enable electrical systems to actively engage in smart grid systems. Smart homes with energy storage systems (ESS) and renewable energy s...
Artificial Intelligence Deep Learning Computer Systems Electricity Electric Power Supplies
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SLAM on the Hexagonal Grid.

Sensors (Basel, Switzerland) Aug 19, 2022
Hexagonal grids have many advantages over square grids and could be successfully used in mobile robotics as a map representation. However, there is a lack of an essential algorithm, namely, SLAM (simultaneous localization and mapping), that would gen...
Algorithms Computer Systems Robotics
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Applying Lightweight Deep Learning-Based Virtual Vision Sensing Technology to Realize and Develop New Media Interactive Art Installation.

Computational intelligence and neuroscience Jul 11, 2022
The work intends to optimize the situation that interactive art devices and remote control based on traditional technology cannot meet people's actual needs to a certain extent. With the assistance of Lightweight Deep Learning (LDL) models, Interacti...
Humans Technology Deep Learning User-Computer Interface Computer Systems Virtual Reality
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Semi-ProtoPNet Deep Neural Network for the Classification of Defective Power Grid Distribution Structures.

Sensors (Basel, Switzerland) Jun 27, 2022
Power distribution grids are typically installed outdoors and are exposed to environmental conditions. When contamination accumulates in the structures of the network, there may be shutdowns caused by electrical arcs. To improve the reliability of th...
Neural Networks, Computer Reproducibility of Results Deep Learning Computer Systems
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Convolutional Neural Network-Based Virtual Reality Real-Time Interactive System Design for Unity3D.

Computational intelligence and neuroscience Jun 22, 2022
In this paper, the algorithm of the convolutional neural network is used for in-depth research and analysis of real-time interactivity, and a virtual reality real-time interactive system is designed based on Unity3D. Aiming at the problems of high co...
Neural Networks, Computer Algorithms Computer Systems Virtual Reality Semantics
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Smart Grid Stability Prediction Model Using Neural Networks to Handle Missing Inputs.

Sensors (Basel, Switzerland) Jun 8, 2022
A smart grid is a modern electricity system enabling a bidirectional flow of communication that works on the notion of demand response. The stability prediction of the smart grid becomes necessary to make it more reliable and improve the efficiency a...
Neural Networks, Computer Algorithms Computer Systems
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A Novel Method to Inspect 3D Ball Joint Socket Products Using 2D Convolutional Neural Network with Spatial and Channel Attention.

Sensors (Basel, Switzerland) May 31, 2022
Product defect inspections are extremely important for industrial manufacturing processes. It is necessary to develop a special inspection system for each industrial product due to their complexity and diversity. Even though high-precision 3D cameras...
Neural Networks, Computer Computer Systems Attention Commerce Joints
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Robot Navigation Based on Potential Field and Gradient Obtained by Bilinear Interpolation and a Grid-Based Search.

Sensors (Basel, Switzerland) Apr 25, 2022
The original concept of the artificial potential field in robot path planning has spawned a variety of extensions to address its main weakness, namely the formation of local minima in which the robot may be trapped. In this paper, a smooth navigation...
Algorithms Computer Systems Robotics Time
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