A Practical Distributed Randomness Beacon with Optimal Amortized Communication Complexity

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
randomness beacon   optimal communication complexity   permissionless setting   random number   timed commitment   distributed protocol   bias-resistance  

Cutting-edge Breakthrough in Distributed Randomness Beacon (DRB) Research — A Practical Solution Optimizing Communication Complexity for Large-scale Applications In numerous technological fields today, a reliable randomness beacon is a critical tool, playing a vital role in the security of cryptography, blockchain, electronic voting, and many other...

Observer-Based Event-Triggered Formation Tracking Control for Second-Order Multi-Agent Systems in Constrained Region

Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
formation tracking   event-triggered mechanism   multi-agent systems   constrained region   disturbance observer   artificial potential field   collision avoidance  

Review of Research on Time-Varying Formation Tracking Control for Multi-Agent Systems in Constrained Regions Multi-Agent Systems (MAS) have drawn significant attention in recent years due to their broad applications in fields such as multiple autonomous underwater vehicles (AUVs) and multi-rotor drones. Additionally, MAS present potential benefits ...

An End-to-End Visual Semantic Localization Network Using Multi-View Images

Engineering, Transportation Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
visual localization   semantic map   bird-eye-view   Transformer   pose estimation  

A Study on End-to-End Visual Semantic Localization Using Multi-View Images Background and Research Significance With the rapid development of intelligent driving technology, precise localization of autonomous vehicles has become a hot topic in research and industry. Accurate vehicle localization is not only a core module of autonomous driving but a...

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services

Engineering, Aerospace Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
satellite communication   6G networks   task offloading   resource allocation   deep reinforcement learning   edge computing   spatio-temporal dynamics  

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services Background Introduction With the advent of the 6G mobile communication network, the traditional Internet of Things (IoT) architecture is gradually transforming into the new paradigm of the intelligent Internet of Everyth...

E-Predictor: An Approach for Early Prediction of Pull Request Acceptance

Information Science, Computer Science, Artificial Intelligence,
pull request   prediction model   GitHub   open source projects   code review   development efficiency   BERT  

Research Breakthrough on Early Prediction of Pull Request Acceptance In recent years, open-source software (OSS) development has gradually become one of the mainstream software development models, heavily relying on collaboration among developers. The Pull Request (PR) mechanism, widely applied in distributed software development, improves collabor...

Characterizing the App Recommendation Relationships in the iOS App Store: A Complex Network’s Perspective

Information Science, Computer Science, Artificial Intelligence,
mobile app   recommendation system   complex network   user behavior   policy-violating app  

Analyzing the Complex Network of iOS App Store Recommendation Relationships Background Mobile applications (referred to as mobile apps) are a vital part of the modern Internet ecosystem. However, with the exponential growth in the number of mobile apps, it has become increasingly difficult for users to find desired apps in app stores and for develo...