Beam-spin asymmetry study puts proton models to the test

Getting an up-close view of life at the cellular level can be as simple as placing onion skin under a microscope and adjusting the knobs. Peering deeper, into the heart of the atoms within, isn't as ...
IEEE

Harmonic Interaction Model for Fast and Accurate Cogging Torque Calculation in Permanent Magnet Machines

Abstract: This article presents a semi-analytical model for predicting cogging torque based on harmonic interaction principle within the air gap. It derives the airgap’s magnetic energy through ...
IEEE

An EEG Conformer Model for Error Feedback During Human-Robot Interaction

Abstract: Identifying a brain signal that enables the detection of incorrect execution in human-robot interaction (HRI) is considered a holy grail for real-time systems. A major challenge in achieving ...
IEEE

Exploring Large Language Model-Driven Agents for Environment-Aware Spatial Interactions and Conversations in Virtual Reality Role-Play Scenarios

Abstract: Recent research has begun adopting Large Language Model (LLM) agents to enhance Virtual Reality (VR) interactions, creating immersive chatbot experiences. However, while current studies ...
IEEE

A Low Area-Time ECPM Hardware Accelerator Over Curve25519 on FPGA

Abstract: In this paper, we explore a low area-time elliptic curve point multiplication (ECPM) hardware accelerator over Curve25519. Firstly, we analyze the correlation of the data hazards of LADDER ...
IEEE

CPERNN: An RNN-based Multi-scale Variable Interaction Model for electrical Time Series Forecasting

Abstract: Long-Term Time Series Forecasting plays a critical role in key domains such as electrical load prediction. Particularly, electrical time series data exhibit characteristics like ...
IEEE

The Non-Uniform Compute Device (NUCD) Architecture for Lightweight Accelerator Offload

Abstract: Heterogeneous architectures have arisen as a well-suited approach for the post-Moore era. Among them, architectures that integrate programmable accelerators in or near memory are gaining ...
IEEE

Vision-Language Model-Driven Human-Vehicle Interaction for Autonomous Driving: Status, Challenge, and Innovation

Abstract: This paper investigates the potential of Vision-Language Models (VLMs) to enhance Human-Vehicle Interaction (HVI) in Autonomous Driving (AD) scenarios, particularly in interactions between ...
IEEE

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA

Abstract: Deploying large language models (LLMs) on embedded devices remains a significant research challenge due to the high computational and memory demands of LLMs and the limited hardware ...
IEEE

Enabling Decoder-only Language Model Inference on a CNN Accelerator

Abstract: The remarkable success of Transformer architectures in Natural Language Processing (NLP) has led to increased demand for embedded systems capable of efficiently handling NLP tasks along with ...
IEEE

Representation of Human arm Dynamic Intents With an Electrical Impedance Tomography (EIT)-Driven Musculoskeletal Model for Human–Robot Interaction

Abstract: Representing human arm dynamic intent is essential for effective human–robot interaction. Accurately and robustly decoding these intentions through mathematical modeling of neuromuscular ...
IEEE

Personalized User Interaction in Web Applications using Adaptive LLM Model

Abstract: The rapid evolution of web applications has made personalization and intuitive user experiences increasingly essential. The aim of this work is to provide a tailored large language model ...