This paper presents a longitudinal and lateral coupling control model for platoons on roads with varying curvature. The model integrates a 3-DOF vehicle dynamic model with lateral distance errors using the Frenet coor...
详细信息
Electronic control units (ECUs) are computer systems which are capable to process this data and send signals to the various systems in the vehicle to modify their behavior in order to optimize performance and ensure s...
详细信息
The integration of 5G technology with Vehicular Ad-hoc Networks (VANETs) represents a significant advancement in the field of intelligent Transportation systems (ITS). This paper explores the potential of 5G to enhanc...
详细信息
Customers are made to wait for extended hours in busy shopping settings as traditional limits of barcode and RFID-based billing systems have a predisposition towards errors and inefficiencies in scanning untagged or w...
详细信息
IoT Power Monitoring System for Grid-connected Solar Power systems is designed to improve the performance and reliability of solar panels used in residential homes. The system records the daily energy consumption of t...
详细信息
Integrating wireless-powered Mobile Edge computing (MEC) with Unmanned Aerial Vehicles (UAVs) leverages computation offloading services for mobile devices, significantly enhancing the mobility and control of MEC netwo...
详细信息
Integrating wireless-powered Mobile Edge computing (MEC) with Unmanned Aerial Vehicles (UAVs) leverages computation offloading services for mobile devices, significantly enhancing the mobility and control of MEC networks. However, current research has not focused on customizing system designs for Terahertz (THz) communication networks. When dealing with THz communication, one must account for blockage vulnerability due to severe THz wave propagation attenuation and insufficient diffraction. The intelligent Reflecting Surface (IRS) can effectively address these limitations in the model, enhancing spectrum efficiency and coverage capabilities while reducing blockage vulnerability in THz networks. In this paper, we introduce an upgraded MEC system that integrates IRS and UAVs into THz communication networks, focusing on a binary offloading policy for studying the computation offloading problem. Our primary objective is to optimize the energy consumption of both UAVs and User Electronic Devices, alongside refining the phase shift of the IRS reflector. The problem is a Mixed Integer Non-Linear Programming problem known as NP-hard. To tackle this challenge, we propose a two-stage deep learning-based optimization framework named Iterative Order-Preserving Policy Optimization (IOPO). Unlike exhaustive search methods, IOPO continually updates offloading decisions through an order-preserving quantization method, thereby accelerating convergence and reducing computational complexity, especially when handling complex problems with extensive solution spaces. The numerical results demonstrate that the proposed algorithm significantly improves energy efficiency and achieves near-optimal performance compared to benchmark methods.
Across all industries, cloud-based automated controlsystems have completely changed how operational and environmental parameters are tracked and controlled. With cloud-integrated systems for real-time data collection...
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
This paper presents the Secure Intelligence Development Life-Cycle, a Software Development Life-Cycle created to address the need for advanced security and intelligent technologies, such as artificial intelligence and...
详细信息
ISBN:
(纸本)9783031837890;9783031837906
This paper presents the Secure Intelligence Development Life-Cycle, a Software Development Life-Cycle created to address the need for advanced security and intelligent technologies, such as artificial intelligence and machine learning, at the development level. It differs from standard software development models that usually involve security measures only in the later stages of development;this one integrates security measures right from the early stage of requirements gathering through design, development, and deployment. The embedding of security from the onset allows real-time vulnerability detection and response with adaptability to emerging threats. It has also improved threat detection, made better decisions, and enhanced system resilience with intelligent processes. It is most effective with sectors like healthcare, finance, and critical infrastructure for secure and complex software systems.
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
暂无评论