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๐Ÿ” cewu lu ๐Ÿ“‚ Engineering
Showing 49 results for "cewu lu" in Engineering
Engineering Preprint PDF DOI

Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning

Kaixuan Chen, Linqi Ye ยท 2026

With the rapid development of embodied intelligence, robotics education faces a dual challenge: high computational barriers and cumbersome environment configuration. Existing centralized cloud simulatโ€ฆ

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Engineering Preprint PDF DOI

Power Flow Solution in Unbalanced 3-Wire MV and 4-Wire LV Networks Using Symmetrical and Eigen-basis Coordinates

Abduljalil S. Aljadani, Firdous U. Nazir, Bikash C. Pal, Izudin Dzafic, Rabih A. Jabr ยท 2025

The large penetration of distributed generations impacts both the secondary low-voltage (LV) and the primary medium-voltage (MV) segments of the distribution network. Optimizing power flow calculationโ€ฆ

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Engineering Preprint PDF DOI

Contrastive Representation Learning for Robust Sim-to-Real Transfer of Adaptive Humanoid Locomotion

Yidan Lu, Rurui Yang, Qiran Kou, Mengting Chen, Tao Fan, Peter Cui, Yinzhao Dong, Peng Lu ยท 2025

Reinforcement learning has produced remarkable advances in humanoid locomotion, yet a fundamental dilemma persists for real-world deployment: policies must choose between the robustness of reactive prโ€ฆ

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Engineering Preprint PDF DOI

Human-assisted Robotic Policy Refinement via Action Preference Optimization

Wenke Xia, Yichu Yang, Hongtao Wu, Xiao Ma, Tao Kong, Di Hu ยท 2025

Establishing a reliable and iteratively refined robotic system is essential for deploying real-world applications. While Vision-Language-Action (VLA) models are widely recognized as the foundation modโ€ฆ

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Engineering Preprint PDF DOI

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction

Wenke Xia, Ruoxuan Feng, Dong Wang, Di Hu ยท 2025

Building a generalizable self-correction system is crucial for robots to recover from failures. Despite advancements in Multimodal Large Language Models (MLLMs) that empower robots with semantic refleโ€ฆ

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Engineering Preprint PDF DOI

WaveNet-Volterra Neural Networks for Active Noise Control: A Fully Causal Approach

Lu Bai, Mengtong Li, Siyuan Lian, Kai Chen, Jing Lu ยท 2025

Active Noise Control (ANC) systems are challenged by nonlinear distortions, which degrade the performance of traditional adaptive filters. While deep learning-based ANC algorithms have emerged to addrโ€ฆ

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Engineering Preprint PDF DOI

Modelowanie nieliniowej charakterystyki szerokopasmowych wzmacniaczy radiowych o zmiennym napi\k{e}ciu zasilania; Modeling Nonlinear Characteristics of Wideband Radio Frequency Amplifiers with Variable Supply Voltage

Kornelia Kostrzewska, Pawe{l} Kryszkiewicz ยท 2025

The work aims to propose a new nonlinear characteristics model for a wideband radio amplifier of variable supply voltage. An extended Rapp model proposal is presented. The proposed model has been veriโ€ฆ

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Engineering Preprint PDF DOI

Joint Attention Mechanism Learning to Facilitate Opto-physiological Monitoring during Physical Activity

Xiaoyu Zheng, Sijung Hu, Vincent Dwyer, Mahsa Derakhshani, Laura Barrett ยท 2025

Opto-physiological monitoring including photoplethysmography (PPG) provides non-invasive cardiac and respiratory measurements, yet motion artefacts (MAs) during physical activity degrade its signal quโ€ฆ

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Engineering Preprint PDF DOI

Laser Ultrasonic Imaging via the Time Domain Linear Sampling Method

Jian Song, Fatemeh Pourahmadian, Todd W. Murray, Venkatalakshmi V. Narumanchi ยท 2024

This study investigates the imaging ability of the time-domain linear sampling method (TLSM) when applied to laser ultrasonic (LU) tomography of subsurface defects from limited-aperture measurements. โ€ฆ

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Engineering Preprint PDF DOI

Disco Intelligent Omni-Surfaces: 360-degree Fully-Passive Jamming Attacks

Huan Huang, Hongliang Zhang, Jide Yuan, Luyao Sun, Yitian Wang, Weidong Mei, Boya Di, Yi Cai, Zhu Han ยท 2024

Intelligent omni-surfaces (IOSs) with 360-degree electromagnetic radiation significantly improves the performance of wireless systems, while an adversarial IOS also poses a significant potential risk โ€ฆ

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Engineering Preprint PDF DOI

A Secure Beamforming Design: When Fluid Antenna Meets NOMA

Lifeng Mai, Junteng Yao, Jie Tang, Tuo Wu, Kai-Kit Wong, Hyundong Shin, Fumiyuki Adachi ยท 2024

This letter proposes a secure beamforming design for downlink non-orthogonal multiple access (NOMA) systems utilizing fluid antenna systems (FAS). We consider a setup where a base station (BS) with $Mโ€ฆ

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Engineering Preprint PDF DOI

Inexact block LU preconditioners for incompressible fluids with flow rate conditions

Luca Crugnola, Christian Vergara ยท 2024

When studying the dynamics of incompressible fluids in bounded domains the only available data often provide average flow rate conditions on portions of the domain's boundary. In engineering applicatiโ€ฆ

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Engineering Preprint PDF DOI

Exploring the Impact of RIS on Cooperative NOMA URLLC Systems: A Theoretical Perspective

Jianchao Zheng, Tuo Wu, Junteng Yao, Chau Yuen, Zhiguo Ding, Fumiyuki Adachi ยท 2024

In this paper, we conduct a theoretical analysis of how to integrate reconfigurable intelligent surfaces (RIS) with cooperative non-orthogonal multiple access (NOMA), considering URLLC. We consider a โ€ฆ

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Engineering Preprint PDF DOI

Optimizing Multi-User Uplink Cooperative Rate-Splitting Multiple Access: Efficient User Pairing and Resource Allocation

Shreya Khisa, Mohamad Elhattab, Chadi Assi, Sanaa Sharafeddine ยท 2024

This paper investigates joint user pairing, power and time slot duration allocation in the uplink multiple-input single-output (MISO) multi-user cooperative rate-splitting multiple access (C-RSMA) netโ€ฆ

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Engineering Preprint PDF DOI

Coordinated Half-Duplex/Full-Duplex Cooperative Rate-Splitting Multiple Access in Multi-Cell Networks

Mohamed Elhattab, Shreya Khisa, Chadi Assi, Ali Ghrayeb, Marwa Qaraqe, Georges Kaddoum ยท 2024

This paper explores downlink Cooperative Rate-Splitting Multiple Access (C-RSMA) in a multi-cell wireless network with the assistance of Joint-Transmission Coordinated Multipoint (JT-CoMP). In this neโ€ฆ

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Engineering Preprint PDF DOI

Depth Helps: Improving Pre-trained RGB-based Policy with Depth Information Injection

Xincheng Pang, Wenke Xia, Zhigang Wang, Bin Zhao, Di Hu, Dong Wang, Xuelong Li ยท 2024

3D perception ability is crucial for generalizable robotic manipulation. While recent foundation models have made significant strides in perception and decision-making with RGB-based input, their lackโ€ฆ

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Engineering Preprint PDF DOI

KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance

Jingxian Lu, Wenke Xia, Dong Wang, Zhigang Wang, Bin Zhao, Di Hu, Xuelong Li ยท 2024

Online Imitation Learning struggles with the gap between extensive online exploration space and limited expert trajectories, hindering efficient exploration due to inaccurate reward estimation. Inspirโ€ฆ

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Engineering Preprint PDF DOI

Decomposed and Distributed Directional Modulation for Secure Wireless Communication

Bin Qiu, Wenchi Cheng, Wei Zhang ยท 2024

Directional modulation and artificial noise (AN)-based methods have been widely employed to achieve physical-layer security (PLS). However, these approaches can only achieve angle-dependent secure traโ€ฆ

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Engineering Preprint PDF DOI

Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views

Zongyu Li, Yixuan Jia, Xiaojian Xu, Jason Hu, Jeffrey A. Fessler, Yuni K. Dewaraja ยท 2024

Purpose: This study addresses the challenge of extended SPECT imaging duration under low-count conditions, as encountered in Lu-177 SPECT imaging, by developing a self-supervised learning approach to โ€ฆ

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Computational generation of tailored radionuclide libraries for alpha-particle and gamma-ray spectrometry

Jaewoong Jang ยท 2024

Radionuclide identification is a radioanalytical method employed in various scientific disciplines that utilize alpha-particle or gamma-ray spectrometric assays, ranging from astrophysics to nuclear mโ€ฆ

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