Flight delay is a significant challenge faced by air traffic controlsystems, severely affecting passenger travel experience and airline operational efficiency. This paper addresses this issue by proposing an intellig...
详细信息
The increasing computational capabilities of Low Earth Orbit (LEO) constellations have significantly augmented their autonomy and operational flexibility. Complex onboard tasks such as observation, sensing, and situat...
详细信息
The increasing computational capabilities of Low Earth Orbit (LEO) constellations have significantly augmented their autonomy and operational flexibility. Complex onboard tasks such as observation, sensing, and situational awareness can be processed and executed directly on the Satellite Edge computing (SEC) networks. to the time-varying characteristics of inter-satellite links and the uncertainty in the load of edge satellites, efficient offloading of on-board tasks presents significant challenges. We introduce an on-board distributed task offloading method for LEO satellite tasks in emergency to enhance service quality. We initially a dynamic offloading scheme, in which data-source satellites can transmit tasks to edge nodes. Then, formulate the multi-hop satellite network dynamic offloading (MSNDO) problem to minimize system and maximize success ratio of time-sensitive tasks under multiple constraints. Finally, we propose a distributed deep reinforcement learning algorithm that allows individual satellites to design offloading strategies knowing the decision-making patterns of other satellites. Simulation experiments show that the proposed algorithm can utilize the edge satellite processing capabilities more efficiently and significantly improve performance of the SEC system.
In artificial intelligence, Large Language Models (LLMs) are becoming essential, especially in Natural Language Processing (NLP). These models enable researchers to develop more complex and effective solutions for var...
详细信息
Nowadays, the surveillance system performing as an indispensable part for modern industrial Internet has attracted much attention. With the continuous progress of microprocessor technology, sensor technology, particul...
详细信息
Question generation system in most educational institutes is not automated. There are various methods in which objective and subjective question generation is existing, but not those algorithms are not very accurate. ...
详细信息
The security situational prediction aims to assess the present state of network security, forecast its future development trends, inform individuals to implement appropriate defensive measures and secure the network e...
详细信息
The proceedings contain 61 papers. The special focus in this conference is on Soft computing Models in Industrial and Environmental Applications. The topics include: Improving the Efficiency of Production Pr...
ISBN:
(纸本)9783031750090
The proceedings contain 61 papers. The special focus in this conference is on Soft computing Models in Industrial and Environmental Applications. The topics include: Improving the Efficiency of Production Processes by Reducing Human Errors Using intelligent Methods;automated Semantic Labelling of Images Generated with Deep Diffusion Probabilistic Models;wastewater Quality Indicator Estimation Using Machine Learning and Data Augmentation Techniques;a Virtual Avatar for Sign Language Signing;comparison of D-Wave Quantum computing Environment Solvers for a Two-Machine Jobs Scheduling Problem;hybrid Fuzzy-Based Method for Optimally Selecting Aircraft for Low-Cost Carriers Operating Medium-Haul Flights;two Way Ranging Positioning Methods Analysis Under Optimized Sensor Deployments;human Acoustic Events Detection as Anomalies in Industrial Environments Using Shallow Unsupervised Techniques;Machine Learning in the Last-Mile Delivery: Modified Q-Learning for the TSP;IoT and AI Based Security System – Design and Implementation;characterization of Cattle Behavior Based on Dimensional Reduction Techniques;time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection;artificial Intelligence Methodology for Run-to-Target Manufacturing;multi-robot Path Planning Problem Applied to Real World Enviroment;an Approach of Optimization in Capacitated Vehicle Routing Problem in Logistics Distribution;bayesian Generation of Synthetic Data;learning-Based Models for intelligentcontrol Over Air Conditioning Units in a Smart Building;predicting Power Generation from Photovoltaic Energy System;photovoltaic Generation Forecasting for intelligent Management in Energy Communities;application of Neural Models in Solar Radiation Measurements for a Better Data Gathering Quality;caravels: A Decentralized Container-Based Infrastructure for Sustainable Human-Centric intelligent Energy Communities;Production Scheduling for Energy Cost Optimization with Constraints: Com
With the rapid development of smart grids, intelligent power measurement and controlsystems have become a key technology for achieving efficient energy management and energy conservation and emission reduction. Tradi...
详细信息
Energy security, environmental issues, and economic issues are the driving factors for studying the reduction of energy consumption and greenhouse gas emissions. To solve the problems of urban centralized heating syst...
详细信息
Health data used in building intelligent medical care systems contain sensitive personal information of the patients. Distributed storage, processing and sharing of data poses threats to the data privacy and security....
详细信息
暂无评论