Spatio-Temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
smart grids   false data injection attacks   adversarial attacks   spatio-temporal graphs   graph neural networks   machine learning   cybersecurity  

Title: Generating and Detecting Spatio-Temporal Graph-Based Adversarial False Data Injection Evasion Attacks in Smart Grids Background With the continuous development of modern smart grids, the grid, as a typical Cyber-Physical System (CPS), faces numerous security threats due to the extensive exchange of data between its components. Among these, F...

Event-Triggered Fuzzy Adaptive Stabilization of Parabolic PDE–ODE Systems

Mathematics, Engineering, Electrical Engineering, Information Science, Automation, Artificial Intelligence,
Event-Triggered Control   Fuzzy Logic Systems   Parabolic PDE-ODE Systems   Stabilization Control   Adaptive Backstepping  

Scientific Report: On “Event-Triggered Fuzzy Adaptive Stabilization of Parabolic PDE–ODE Systems” Research Background and Significance In modern engineering systems, such as flexible manipulators, heat transfer devices, and reactor controllers, many complex systems must be modeled using partial differential equations (PDEs). Due to their unique rea...

Integration of High-κ Native Oxides of Gallium for Two-Dimensional Transistors

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
2D semiconductors   gallium oxide   high-κ dielectric   transistors   surface-tension-driven method   ultrathin layer   interface quality  

Report on the Integration of High-κ Gallium Oxide in 2D Transistors Academic Background With the continuous advancement in semiconductor technology, 2D materials (such as molybdenum disulfide, MoS₂) are considered promising candidates for next-generation transistor channel materials due to their unique electrical properties and atomic-scale thickne...

Rapid Cryogenic Characterization of 1,024 Integrated Silicon Quantum Dot Devices

Physics, Quantum Physics, Engineering, Electrical Engineering, Information Science, Semiconductors and Information Devices,
quantum dots   silicon quantum dots   cryogenic characterization   quantum computing   semiconductor manufacturing   radio-frequency reflectometry   automated machine learning  

Rapid Cryogenic Characterization of 1,024 Integrated Silicon Quantum Dot Devices: A Review Background Quantum computing, as a disruptive technology in computing, holds the promise of far surpassing traditional high-performance computers in areas such as materials science, drug discovery, and big data search. Silicon-based quantum dots (Quantum Dot,...

Three-Dimensional Transistors with Two-Dimensional Semiconductors for Future CMOS Scaling

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
2D semiconductors   3D transistors   CMOS technology   quantum transport simulations   energy efficiency   nanoscale scaling   transition metal dichalcogenides  

Academic Paper Report: Three-Dimensional Transistors with Two-Dimensional Semiconductors for Future CMOS Scaling Introduction In recent years, as silicon-based complementary metal-oxide-semiconductor (CMOS) technology approaches its physical limits, the continued miniaturization and performance optimization of next-generation microelectronics face ...

An Optoelectronic Microwave Synthesizer with Frequency Tunability and Low Phase Noise

An Optoelectronic Microwave Synthesizer with Frequency Tunability and Low Phase Noise

Physics, Optics, Engineering, Electrical Engineering, Information Science, Electronic Information, Semiconductors and Information Devices,
optoelectronic synthesizer   microwave frequency   low phase noise   frequency tunability   optical frequency comb   direct digital synthesis   X-band  

Optoelectronic Microwave Synthesizer: Combining Frequency Tunability with Low Phase Noise Academic Background In modern communication, navigation, and radar systems, frequency-tunable and low-noise microwave sources are critical. Traditional electronic microwave synthesizers offer frequency tunability but exhibit high phase noise, limiting their us...

Intelligent Headset System with Real-Time Neural Networks for Creating Programmable Sound Bubbles

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
intelligent headset   sound bubble   real-time neural networks   noise cancellation   distance perception   embedded CPU   acoustic scene  

Discussion of “Sound Bubbles” and the Future of Hearable Devices: Innovations Based on Real-Time Neural Networks In daily life, noise and complex acoustic scenes often make speech difficult to distinguish, particularly in crowded environments such as restaurants, conference rooms, or airplanes. While traditional noise-canceling headphones can suppr...

A Zero External Magnetic Field Quantum Standard of Resistance at the 10⁻⁹ Level

Physics, Quantum Physics, Condensed Matter Physics, Engineering, Electrical Engineering,
Quantum Anomalous Hall Effect   Resistance Quantization   Magnetic Topological Insulator   Metrology   Quantum Standard  

Academic Background and Problem Statement In metrology, the quantum Hall effect (QHE) and the Josephson effect respectively provide quantum standards for electrical resistance (ohm) and voltage (volt). However, conventional quantum Hall resistance standards (QHRs) rely on strong external magnetic fields (typically requiring superconducting magnets ...

Reconfigurable In-Sensor Processing Based on a Multi-Phototransistor–One-Memristor Array

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence,
in-sensor computing   photonic memristors   neural network architectures   image processing   machine vision  

Report on the Academic Paper: “Reconfigurable In-Sensor Processing Based on a Multi-Phototransistor-One-Memristor Array: A New Visual Computing Platform Combining Machine Learning and Brain-Inspired Neural Networks” Academic Background and Problem Identification Artificial vision systems play a significant role in intelligent edge computing. Howeve...

An On-Chip Full-Stokes Polarimeter Based on Optoelectronic Polarization Eigenvectors

Physics, Optics, Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Electronic Information,
polarimeter   optoelectronic eigenvector   Stokes parameters   on-chip integration   plasmonic metasurface   machine learning   polarization detection  

Research on On-Chip Full-Stokes Polarimeters Based on Optoelectronic Polarization Eigenvectors Academic Background The polarization state of light plays a significant role in optical communication, biomedical diagnostics, remote sensing, cosmology, and other fields. The Stokes vector, consisting of four parameters, is used to fully describe the pol...