A5033494277- Analytical Chemistry and Chromatography
- Metal-Organic Frameworks: Synthesis and Applications
- Mass Spectrometry Techniques and Applications
- UAV Applications and Optimization
- Energy Harvesting in Wireless Networks
- Surface Modification and Superhydrophobicity
- Advanced Sensor Technologies Research
- Robotic Path Planning Algorithms
- Advanced MEMS and NEMS Technologies
- Robotics and Sensor-Based Localization
- Gas Sensing Nanomaterials and Sensors
- Space Satellite Systems and Control
- Robotics and Automated Systems
- Zeolite Catalysis and Synthesis
- Electromagnetic Simulation and Numerical Methods
- Nanomaterials and Printing Technologies
- Advanced Numerical Methods in Computational Mathematics
- Numerical methods for differential equations
- Distributed Control Multi-Agent Systems
- Microfluidic and Capillary Electrophoresis Applications
- Energy Efficient Wireless Sensor Networks
- Astro and Planetary Science
- Distributed and Parallel Computing Systems
- Advanced Chemical Sensor Technologies
- Video Surveillance and Tracking Methods
University of Notre Dame
2025
Institute of Computing Technology
2019-2024
Chinese Academy of Sciences
2019-2024
State Key Laboratory of Transducer Technology
2022-2024
University of Chinese Academy of Sciences
2022-2024
Shanghai Institute of Microsystem and Information Technology
2022-2024
Abstract Additive manufacturing of metallic materials holds the potential to revolutionize fabrication functional devices unattainable via traditional methods. Despite recent advancements, printing typically requires thermal processing at elevated temperatures form dense structures with desired properties, which presents a major challenge for direct and integration temperature‐sensitive materials. Herein, unique co‐jet (CJP) method is reported integrating an aerosol jet non‐thermal,...
Discrete diffusion models have emerged as a powerful generative modeling framework for discrete data with successful applications spanning from text generation to image synthesis. However, their deployment faces challenges due the high dimensionality of state space, necessitating development efficient inference algorithms. Current approaches mainly fall into two categories: exact simulation and approximate methods such $\tau$-leaping. While suffer unpredictable time redundant function...
With the progress of times and development society, opportunities challenges coexist in contemporary society. As one chronic diseases with highest prevalence rate, diabetes has brought a huge crisis to people’s daily life. Under modern medical system, many difficult problems patients seeking treatment can be solved through hierarchical diagnosis treatment, pressure outpatient service shared. At same time, use combinations make no longer need lifelong medication, but replace “lifelong...
For mobile robotic networks in industrial scenarios, reliable and energy-efficient communications are crucial yet challenging. Fortunately, collaborative beamforming (CB) emerges as a promising solution, which can increase the transmission gain reduce transmit power of robots by constructing robot-enabled virtual antenna array (MRVAA). The performance CB is tightly related to robot positions, necessitating proper selection. However, selection may expose network risk unbalanced energy...
Unmanned Aerial Vehicles (UAVs) exhibit great advantages in data collection from ground sensors vast tracts of fields. Due to their limited power supply, most works assume that the UAV simply traverses each sensor's fixed transmission range collect data, thereby shortening flight path. However, they neglect quality collected which may deteriorate dramatically as distance increases. In this paper, by leveraging physical-layer protocol – LoRa, we propose a Packet Reception Ratio (PRR)-based...
As it is difficult for power-restricted wireless sensor nodes to achieve rapid neighbor discovery under the scenarios of asynchronous clocks, misaligned time slots, and asymmetric duty-cycle (i.e., wake-up/sleep) scheduling periods, we propose a low-power algorithm termed Pharos by alternately utilizing fully partially awake slots. The slots one node are certain detect counterpart's while reducing power consumption as compared We analyze theoretical latency derive optimal parameters both...