Operational Modal Analysis
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Virtual-Array Operational Modal Analysis of Rolling Tires Using a Single Tire Cavity Accelerometer
arXiv:2606.10437v1 Announce Type: new Abstract: The dynamics of rolling tires significantly influence the low-frequency (0-500 Hz) structure-borne noise within vehicles. Accurately characterizing these dynamics under realistic operating conditions remains challenging. Current state-of-the-art methods, primarily relying on Laser Doppler Vibrometers (LDV), are complex to implement, time-intensive, and generally limited to smooth tires in laboratory environments due to issues with speckle...
Enhancing Operational Safety via Agentic Dialogue Hazard Identification Analysis
Announce Type: new Abstract: Operational safety in high-stakes domains such as industrial process control, autonomous, and safety-critical systems, demand reliable hazard identification. While large language models (LLMs) have shown promise in automating safety analysis tasks, single-turn, monolithic inference is brittle: it lacks the self-correction, deliberation, and contextual refinement that safety engineers apply iteratively. In this paper, we introduce HAZDIAL, a framework that...
IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment
Announce Type: replace Abstract: Vision-Language Models like CLIP are extensively used for inter-modal tasks which involve both visual and text modalities. However, when the individual modality encoders are applied to inherently intra-modal tasks like image-to-image retrieval, their performance suffers from the intra-modal misalignment. In this paper we study intra-modal misalignment in CLIP with a focus on the role of the projectors that map pre-projection image and text embeddings into the...
First-Principles-Based Grand Unified Theory (GUT) for Micro-Macro Modal Quantization (MQ)--Part II: Heisenberg-Schrodinger-Dirac Pictures, Act 1
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Agentic AI for Remote Sensing: Technical Challenges and Research Directions
arXiv:2604.24919v3 Announce Type: replace Abstract: Earth Observation (EO) is moving beyond static prediction toward multi-step analytical workflows that require coordinated reasoning over data, tools, and geospatial state. While foundation models and vision-language models have advanced representation learning and language-grounded interaction in remote sensing, and agentic AI has shown strong potential for long-horizon reasoning and tool use, EO is not a straightforward extension of...
China Mobile Jiangsu and ZTE unveil intelligent complaint analysis agent to reshape core network O&M
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An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?
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MAEPose: Self-Supervised Spatiotemporal Learning for Human Pose Estimation on mmWave Video
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Gooey: A GPU-accelerated UI framework for Zig
A GPU-accelerated UI framework for Zig, targeting macOS (Metal), Linux (Vulkan/Wayland), and Browser (WASM/WebGPU). Join the Gooey discord Early Development: API is evolving. Example app built with Gooey — chat-zig, an Anthropic Claude client using the Zig 0.16 std.
Generic Interpretation Approach for Transformer Models Incorporating Heterogenous Attention Structures
Announce Type: replace Abstract: Transformer has significantly propelled the development of artificial intelligence, and certainly the development of agents as well. We categorize attention structures of Transformer into two types based on the source of the input information: homogenous and heterogenous attention structures.