Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion
Reinforcement Learning (RL) and Machine Learning Integrated Model Predictive Control (ML-MPC) are promising approaches for optimizing hydrogen-diesel dual-fuel engine control, as they can effectively control multiple-input multiple-output systems and nonlinear processes. ML-MPC is advantageous for providing safe and optimal controls, ensuring the...
Situational Preparedness Dynamics for Sequential Tropical Cyclone Hazards
Sequential tropical cyclone hazards–two tropical cyclones (TCs) making landfall in the same region within a short time–are becoming increasingly likely. This study investigates situational preparedness dynamics for six sequential TC events that affected seven states in the United States from 2020 to...
Quantum circuits for simulating linear interferometers
Motivated by recent proposals for quantum proof of work protocols, we investigate approaches for simulating linear optical interferometers using digital quantum circuits. We focus on a second quantisation approach, where the quantum computer’s registers represent optical modes. We can then use standard...
Fermi-LAT and FAST observation of the gamma-ray binary HESS J0632+057
Using 15 years of data from the Fermi Large Area Telescope (Fermi-LAT), we performed a comprehensive analysis on the gamma-ray binary HESS J0632+057. Its spectrum in 0.1-300 GeV band is well described by a power law model with an index of $2.40\pm0.16$,...
Characterization of a GAGG detector for neutron measurements in underground laboratories
In rare events experiments, such as those devoted to the direct search of dark matter, a precise knowledge of the environmental gamma and neutron backgrounds is crucial for reaching the design experiment sensitivity. The neutron component is often poorly known due to...
Linear convergence of a one-cut conditional gradient method for total variation regularization
We introduce a fully-corrective generalized conditional gradient method for convex minimization problems involving total variation regularization on multidimensional domains. It relies on alternating between updating an active set of subsets of the spatial domain as well as of an iterate given by...
The Galactic inner spiral arms revealed by the Gaia ESO Survey chemical abundances. Metallicity and [Mg/Fe] ratios
Recent observational advances, such as Gaia DR3 GSP-Spec, have highlighted the potential of chemical abundances in tracing and revealing the structure of spiral arms. Building on these studies, we aim to trace the Milky Way’s inner spiral arms using chemical abundance data...
An Accelerated Camera 3DMA Framework for Efficient Urban GNSS Multipath Estimation
Robust GNSS positioning in urban environments is still plagued by multipath effects, particularly due to the complex signal propagation induced by ubiquitous surfaces with varied radio frequency reflectivities. Current 3D Mapping Aided (3DMA) GNSS techniques show great potentials in mitigating multipath but...
BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation
Text-to-video (T2V) generative models have rapidly advanced and found widespread applications across fields like entertainment, education, and marketing. However, the adversarial vulnerabilities of these models remain rarely explored. We observe that in T2V generation tasks, the generated videos often contain substantial redundant...
Scientific Spirit of Chien-Shiung Wu: From Quantum Entanglement to Parity Nonconservation
In 1950, Chien-Shiung Wu and her student published a coincidence experiment on entangled photon pairs that were created in electron-positron annihilation. This experiment precisely verified the prediction of quantum electrodynamics. Additionally, it was also the first instance of a precisely controlled quantum...