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Method and System for Submarine Cable Path Planning

This patent addresses the aforementioned problems by introducing an Adaptive Parallel Fast Marching Method (APFMM) for high-precision, ultra-long-distance submarine cable path planning.

Prof. ZUKERMAN Moshe, Dr. WANG Xinyu, Dr. WANG Zengfu

Adaptive Parallel Fast Marching Method
Eikonal Equation
Domain Decomposition Method
Multi-Resolution Analysis
Life-Cycle Cost Optimization

Server and a Resource Scheduling Method for Use in a Server

The patent introduces a server and resource scheduling method designed for DDCs with a composable/disaggregated infrastructure.

Prof. ZUKERMAN Moshe, Dr. WANG Tianjiao, Dr. GUO Chao

Cloud Computing
Artificial Intelligence
Resource Scheduling
Disaggregated Data Centers
Mixed-Integer Linear Programming
Task Scheduling
Hardware Monitoring
Data Center Management
Edge Computing
Server Architecture

Method of Determining Optimal Laying Arrangement of Infrastructure Link

The researchers have developed a novel method of automatically determining the optimal laying arrangement for a link between an existing infrastructure network and a new site.

Prof. ZUKERMAN Moshe, Prof. MORAN William, Prof. CUCKER Felipe, Prof. GUO Jun, Prof. WANG Gang, Dr. WANG Qing, Dr. WANG Zengfu, Dr. TAHCHI Elias

Critical Infrastructure Link Planning
Oil Pipeline
Gas Pipeline
Telecommunications Cable
Electricity Cable
Oil
Gas
Telecommunications
Water
Electricity

A Method for Protecting Self-driving Cars from Cyber Attacks

The invention proposes to use a duplicate set of sensors (in CAV) and a mirrored processing component in the cloud (this component runs the same AI-enabled real-time controlled optimized motion planning in autonomous mode in the CAV).

Prof. ZUKERMAN Moshe, Dr. YEUNG Kai Hau Alan

Cyber-attack Detection
Mirror Reliability
Connected Autonomous Vehicle (CAV)
Cloud

System and Method for Consolidating Workloads in Data Center

This patent presents a method that consolidates workloads by optimizing an objective function that balances two goals: minimizing active nodes (for energy efficiency) and minimizing workload migrations (to reduce cost/downtime).

Prof. ZUKERMAN Moshe, Dr. GUO Chao

Pareto Optimal Solutions
Workload Consolidation
Q-Learning
Composable Disaggregated Infrastructure
Active Node Minimization

System and Method for Generating Music-Driven Choreography Based on Music Feature Clusters and Dynamic

This patent presents a computer-implemented method that generates dance by reorganizing existing dance segments based on music feature similarity. The method first preprocesses a dance dataset (e.g., AIST++): it extracts raw music features (MFCC, chroma, envelope, peak), detects musical beats, and segments dances at beat boundaries.

Prof. ZUKERMAN Moshe, Prof. YAN Hong, Mr. LIN Shuhong

Kullback-Leibler Divergence
Dynamic Programming
Cubic Spline Resampling
Dance Segment Clustering
Music-Driven Choreography

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