A 14 μHz/√Hz Resolution and 32 μHz Bias Instability MEMS Quartz Resonant Accelerometer with a Low-Noise Oscillating Readout Circuit

Engineering, Mechanical Engineering, Electrical Engineering, Information Science, Electronic Information,
MEMS accelerometer   quartz resonator   low-noise circuit   high resolution   phase noise   oscillating readout circuit   bias instability  

A Study on High-Resolution MEMS Quartz Resonant Accelerometer with a Low-Noise Oscillating Readout Circuit Academic Background Microelectromechanical system (MEMS) accelerometers have a wide range of applications in fields such as inertial navigation, seismic detection, wearable devices, and intelligent robots. Particularly in applications like sat...

Advancement in Piezoelectric Nanogenerators for Acoustic Energy Harvesting

Chemistry, Nanoscience, Engineering, Electrical Engineering, Energy Engineering, Materials Science,
Piezoelectric Nanogenerators   Acoustic Energy Harvesting   Piezoelectric Materials   Environmental Monitoring   Wearable Electronics  

Advancement in Piezoelectric Nanogenerators for Acoustic Energy Harvesting Academic Background With the proliferation of Internet of Things (IoT) devices, the demand for sustainable energy sources has been increasing. Traditional battery-powered systems face limitations such as finite lifespan and high maintenance costs, prompting researchers to ex...

A Microgripper Based on Electrothermal Al–SiO2 Bimorphs

Engineering, Mechanical Engineering, Electrical Engineering, Information Science, Electronic Information, Semiconductors and Information Devices,
microgripper   electrothermal actuation   bimorph   micromanipulation   electronic packaging  

Research on Electrothermally Driven Al-SiO₂ Bimorph Microgripper Academic Background Microgrippers play a crucial role in assembly and manipulation at the micro and nano scales, with wide applications in microelectronics, MEMS (Micro-Electro-Mechanical Systems), and biomedical engineering. To ensure the safe handling of delicate materials and micro...

Ultrahigh-Field Animal MRI System with Advanced Technological Update

Engineering, Electrical Engineering, Medicine, Medical Imaging, Life Sciences, Bioengineering,
Ultrahigh-field MRI   Animal imaging   Superconducting magnet   Gradient coil   System integration  

Technological Updates in Ultrahigh-Field Animal MRI Systems Academic Background Animal magnetic resonance imaging (MRI) systems play a crucial role in preclinical research, typically offering superior imaging performance compared to conventional human MRI systems. However, achieving high performance in these systems is challenging due to the multif...

Growth-Based Monolithic 3D Integration of Single-Crystal 2D Semiconductors

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
3D integration   single-crystal growth   2D semiconductors   transition metal dichalcogenides   low-temperature processing  

Research on Growth-Based Monolithic 3D Integration of Single-Crystal 2D Semiconductors Academic Background With the rapid development of the modern electronics industry, three-dimensional (3D) integration technology has gradually become an important means to enhance the performance of electronic devices. Traditional two-dimensional (2D) integrated ...

Improving 3D Finger Traits Recognition via Generalizable Neural Rendering

Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
3D fingerprint recognition   neural rendering   finger biometrics   3D biometric traits   multi-modal biometrics  

Summary of FingerNeRF-Based 3D Finger Biometrics Research Report Background and Research Significance With the advancement of biometric technologies, three-dimensional (3D) biometrics have become a promising research direction due to their higher accuracy, robust anti-spoofing capabilities, and resistance to variations in capture angles. Among thes...

A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
weakly supervised learning   online activity detection   knowledge distillation   memory networks   curriculum learning  

Research Background and Significance In recent years, weakly supervised online activity detection (WS-OAD), as an important topic in high-level video understanding, has garnered widespread attention. Its primary goal is to detect ongoing activities frame-by-frame in streaming videos using only inexpensive video-level annotations. This task holds si...

A Displacement Uncertainty-Based Method for Multi-Object Tracking in Low-Frame-Rate Videos

Engineering, Electrical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
multi-object tracking   low-frame-rate videos   occlusion handling   uncertainty   optical flow   online tracking   Bayesian deep learning  

The Academic Report on Low-Frame-Rate Multi-Object Tracking Introduction and Research Background In recent years, multi-object tracking (MOT) has been widely applied in intelligent video surveillance, autonomous driving, and robotics vision. However, traditional MOT methods are predominantly designed for high-frame-rate videos and face significant ...

Rethinking Contemporary Deep Learning Techniques for Error Correction in Biometric Data

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
biometrics   secure sketch   error correction   maximum likelihood decoding   deep learning  

Rethinking Deep Learning Techniques for Error Correction in Biometric Data Background With the rapid development of information technology, biometric data has become increasingly important in identity verification and secure storage. Traditional cryptography relies on uniformly distributed and precisely reproducible random strings. However, most re...

Adaptive Middle Modality Alignment Learning for Visible-Infrared Person Re-Identification

Adaptive Middle Modality Alignment Learning for Visible-Infrared Person Re-Identification

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
visible-infrared   person re-identification   middle modality   adaptive alignment   modality distribution   intelligent surveillance   modality discrepancy  

Research on Adaptive Middle-Modality Alignment Learning for Visible-Infrared Cross-Modality Learning Background and Problem Statement Driven by the needs of intelligent surveillance systems, visible-infrared person re-identification (VIReID) has gradually become a prominent research topic. This task aims to achieve around-the-clock person recogniti...