A5100733754- Higher Education and Teaching Methods
- Radiation Detection and Scintillator Technologies
- Smart Grid and Power Systems
- Particle Detector Development and Performance
- Environmental and Agricultural Sciences
- High-Voltage Power Transmission Systems
- Embedded Systems Design Techniques
- Formal Methods in Verification
- Educational Technology and Pedagogy
- Smart Parking Systems Research
- Power Systems and Technologies
- Real-Time Systems Scheduling
- Aquatic Ecosystems and Phytoplankton Dynamics
- Scientific Computing and Data Management
- Advanced Computational Techniques and Applications
- Science Education and Pedagogy
- Robotic Path Planning Algorithms
- Educational Reforms and Innovations
- Educational Strategies and Epistemologies
- Intelligent Tutoring Systems and Adaptive Learning
- Innovative Educational Techniques
- Model-Driven Software Engineering Techniques
- Education and Critical Thinking Development
- Winter Sports Injuries and Performance
- Robotics and Sensor-Based Localization
National University of Defense Technology
2021-2023
The University of Melbourne
2023
Fermi National Accelerator Laboratory
2023
Institute of Hydrobiology
2019
Chinese Academy of Sciences
2019
University of Chinese Academy of Sciences
2019
Tsinghua University
2014
Shippensburg University
2007-2009
Quanta Computer (China)
2005
Old Dominion University
2004
We propose a two-stage memory retrieval dynamics for modern Hopfield models, termed $\mathtt{U\text{-}Hop}$, with enhanced capacity. Our key contribution is learnable feature map $\Phi$ which transforms the energy function into kernel space. This transformation ensures convergence between local minima of and fixed points within Consequently, norm induced by serves as novel similarity measure. It utilizes stored patterns learning data to enhance capacity across all models. Specifically, we...
In real-time embedded applications, interrupt-driven systems are widely adopted due to strict timing requirements. However, development of is time-consuming and error-prone. To conveniently ensure a trustworthy system design implementation challenging problem, especially in complex applications. this paper, we present novel domain-specific language called iDola model declaratively concisely. A major strength the feasibility capture interrupt handling mechanism operating target platforms,...
Lung tissue engineering (LTE) has gained significant attention as a highly promising and innovative strategy to tackle the formidable obstacles posed by lung-related diseases lack of compatible donor organs availability. In realm groundbreaking advancements in (TE), one particular technology that emerged game-changer is three-dimensional (3D) bioprinting. It distinguishes itself offering potent versatile approach constructing intricate structures while opening up new horizons for TE...
Precise localization is of great importance for autonomous parking task since it provides service the downstream planning and control modules, which significantly affects system performance. For scenarios, dynamic lighting, sparse textures, instability global positioning (GPS) signals pose challenges most traditional methods. To address these difficulties, we propose VIPS-Odom, a novel semantic visual-inertial odometry framework underground parking, adopts tightly-coupled optimization to...
model may be producible to help de-blend losses between machines. Work is underway as part of the Fermilab Real-time Edge AI for Distributed Systems Project (READS) develop a ML empowered system that collects streamed BLM data and additional machine readings infer in real-time, which generated beam loss.