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Content-Adaptive Rate-Quality Curve Prediction Model in Media Processing System
Announce Type: replace Abstract: In streaming media services, video transcoding is a common practice to alleviate bandwidth demands. Unfortunately, traditional methods employing a uniform rate factor (RF) across all videos often result in significant inefficiencies. Content-adaptive encoding (CAE) techniques address this by dynamically adjusting encoding parameters based on video content characteristics.
Unstructured Mesh Tools for Fusion Energy System Design
new Abstract: The execution of accurate simulations of fusion energy systems requires the appropriate representation of critical component geometries as well as the coupling of complex fusion physics codes with one another and with engineering analysis tools. This paper examines the challenges of creating simulation workflows that fully leverage existing fusion research codes while integrating them with commercial computer-aided engineering (CAE) software. Key areas addressed include: (a)...
China’s nuclear weapons scientist Du Xiangwan clarifies role in nation’s war on waste
Advertisement China’s nuclear weapons scientist Du Xiangwan clarifies role in nation’s war on waste Veteran physicist has been one of the strongest advocates for waste-to-energy incineration in China 3-MIN READ3-MIN Chao Kongin Beijing One of China’s most prominent nuclear scientists has publicly clarified his role in the country’s rapidly expanding waste-to-energy sector, following years of speculation linking nuclear weapon technologies to municipal waste incineration. In a June 2 press...
MidSurfNet: Learnable Face Pairing and Interference Implicit Fields for Generalized Mid-surface Abstraction
arXiv:2606.01891v1 Announce Type: new Abstract: Mid-surface abstraction is essential for finite element analysis of thin-walled CAD models. Existing face pairing-based methods rely on handcrafted geometric heuristics, yet real-world industrial models frequently exhibit multi-wall-thickness regions, self-matching face configurations, and demand for non-center offset surfaces--scenarios where rule-based approaches consistently fail. We present MidSurfNet, a learning-augmented framework that...