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Automatic Regenerative Braking System To Increase Energy Efficiency

Advantages: Boosts energy recovery by 24% to 61%, improving vehicle efficiency under various driving conditions. Automatically adjusts braking for maximum energy capture using advanced smart controls Increases vehicle range by 37.8% in real-world driving conditions Summary: Energy-efficient transportation is critical due to environmental...

Published: 9/20/2024 | Inventor(s): Hamed Faghihian, Arman Sargolzaei

Keywords(s): Automotive /Traffic Tech, Autonomous Vehicle, Energy Engineering, Green Technology

Category(s): Technology Classifications > Engineering > Autonomous Vehicle, Technology Classifications > Energy & Environment > Energy Engineering, Technology Classifications > Engineering > Electrical Engineering

Hierarchical Ensemble Of Autonomous Decision Systems For Automated Reasoning

Advantages: Effective management of complex space systems through automation Improved performance through optimized fuzzy set parameters Hierarchical structure enables multi-layered logic for granular control and decisions incorporating inferred information Summary: The utilization of the Hierarchical Ensembles of Autonomous Decision Systems...

Published: 7/5/2023 | Inventor(s): Peter Jorgensen

Keywords(s): Artificial Intelligence, Sensors

Category(s): Technology Classifications > Engineering > Sensors, Technology Classifications > Energy & Environment > E/E Sensors, Technology Classifications > Data/AI > D/AI Imaging, Technology Classifications > Engineering > Autonomous Vehicle

Systems and Signal Processing Methods for Real-Time Traffic Congestion Detection

Competitive Advantages: This method uses data-driven and signal-processing techniques that could identify congestion ahead of time with the measurement of subtle factors related to travel time. This accurate algorithm can differentiate between four categories of traffic congestion independent of the various sources of travel time data. The...

Published: 10/4/2023 | Inventor(s): Vishal Kummetha, Mohsen Kamrani, Sisinnio Concas

Keywords(s): Computers Software and Information Technology, Data Mining, Transportation

Category(s): Technology Classifications > Computer Science > C/S Transportation, Technology Classifications > Engineering > Civil Engineering, Technology Classifications > Engineering > Autonomous Vehicle, Technology Classifications > Engineering > Transportation

Control of Multiagent Networks With Misbehaving Nodes Over Directed Graph Topologies

Competitive Advantages Limited number of controlled nodes required to gain the stability in the overall network. Utilization of a graph-based approach that allows to find steady-state values of critical nodes without the knowledge of the Laplacian matrix of the overall network. Best nodes could be selected from all the controlled nodes...

Published: 6/27/2024 | Inventor(s): Emre Yildirim, Tansel Yucelen

Keywords(s): Health Tech, Industrial Applications, Transportation

Category(s): Technology Classifications > Computer Science > Algorithms, Technology Classifications > Computer Science > Hardware, Technology Classifications > Computer Science > Network Systems, Technology Classifications > Energy & Environment > Energy Engineering, Technology Classifications > Engineering > Autonomous Vehicle, Technology Classifications > Engineering > Transportation

Deploying Neural-Trojan-Resistant Convolutional Neural Networks for Self-Driving Vehicles

Competitive Advantages This method can amplify Trojan’s malicious impact by making it more easily detectable so that system can provide rapid response and mitigation against the attacks This technology can prevent the spread of the attack to other connected systems and defend against attacks initiated through fake update requests The...

Published: 2/6/2024 | Inventor(s): Robert Karam, Brooks Olney

Keywords(s): Autonomous Vehicle, Cryptography and Intrusion Detection, Cybersecurity, Hardware Based Security, Machine Learning

Category(s): Technology Classifications > Data/AI > Cybersecurity - Data/AI, Technology Classifications > Engineering > Autonomous Vehicle, Technology Classifications > Engineering > Computer Engineering, Technology Classifications > Computer Science > Algorithms, Technology Classifications > Computer Science > C/S Cybersecurity

DRL Based Adaptive Network Slicing for 5G Applications

Competitive Advantages The network learns dynamically through interaction with the environment and adapts to it. Edge controllers can efficiently manage the edge resources by enabling cooperation among the fog nodes. Slices the network optimally as per the task load and latency needs. Summary Researchers at the University of South Florida...

Published: 7/12/2023 | Inventor(s): Almuthanna Nassar, Yasin Yilmaz

Keywords(s): Computer Science, Telecommunication / Wireless Communication

Category(s): Technology Classifications > Electronics > Electronics Telecommunications, Technology Classifications > Computer Science, Technology Classifications > Computer Science > Algorithms, Technology Classifications > Computer Science > Network Systems, Technology Classifications > Engineering > Transportation, Technology Classifications > Engineering > Autonomous Vehicle