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๐Ÿ” pascal berrang ๐Ÿ“‚ Engineering
Showing 568 results for "pascal berrang" in Engineering
Engineering Preprint PDF DOI

Subframework-based Bearing Rigidity Maintenance Control in Multirobot Networks

J. Francisco Presenza, Ignacio Mas, J. Ignacio Alvarez-Hamelin, Juan I. Giribet ยท 2025

This work presents a novel approach for \textit{bearing rigidity} analysis and control in multi-robot networks with sensing constraints and dynamic topology. By decomposing the system's framework intoโ€ฆ

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Engineering Preprint PDF DOI

Association-Based Track-Before-Detect with Object Contribution Probabilities

Thomas Kropfreiter, Jason L. Williams, Florian Meyer ยท 2025

Multiobject tracking provides situational awareness that enables new applications for modern convenience, applied ocean sciences, public safety, and homeland security. In many multiobject tracking appโ€ฆ

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Engineering Preprint PDF DOI

Continuous Aperture Array (CAPA)-Based Secure Wireless Communications

Jingjing Zhao, Haowen Song, Xidong Mu, Kaiquan Cai, Yanbo Zhu, Yuanwei Liu ยท 2025

A continuous aperture array (CAPA)-based secure communication system is investigated, where a base station equipped with a CAPA transmits signals to a legitimate user under the existence of an eavesdrโ€ฆ

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Engineering Preprint PDF DOI

A Signal Matrix-Based Local Flaw Detection Framework for Steel Wire Ropes Using Convolutional Neural Networks

Siyu You, Leilei Yang, Zixu Kuang, Huayi Gou, Longlong Zhang, Zhiliang Liu ยท 2025

Steel wire ropes (SWRs) are critical load-bearing components in industrial applications, yet their structural integrity is often compromised by local flaws (LFs). Magnetic Flux Leakage (MFL) is a wideโ€ฆ

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Engineering Preprint PDF DOI

Correcting Domain Shifts in Electric Motor Vibration Data for Unseen Operating Conditions

Lesley Wheat, Martin v. Mohrenschildt, Saeid Habibi, Dhafar Al-Ani ยท 2025

This paper addresses the problem of domain shifts in electric motor vibration data created by new operating conditions in testing scenarios, focusing on bearing fault detection and diagnosis (FDD). Thโ€ฆ

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Engineering Preprint PDF DOI

Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints

Mohamed S. Talamali, Genki Miyauchi, Thomas Watteyne, Micael S. Couceiro, Roderich Gross ยท 2025

Unmanned Aerial Vehicles (UAVs) are expected to transform logistics, reducing delivery time, costs, and emissions. This study addresses an on-demand delivery , in which fleets of UAVs are deployed to โ€ฆ

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Engineering Preprint PDF DOI

Localization and Tracking for Cooperative Users in Multi-RIS-assisted Systems: Theoretical Analysis and Principles of Interpretations

Peng Gao, Lixiang Lian, Yuan Shen ยท 2025

Localization and tracking (LocTrack) are fundamental enablers for a wide range of emerging applications. Reconfigurable intelligent surfaces (RISs) have emerged as key components for enhancing the Locโ€ฆ

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Engineering Preprint PDF DOI

A Robust Method for Fault Detection and Severity Estimation in Mechanical Vibration Data

Youngjae Jeon, Eunho Heo, Jinmo Lee, Taewon Uhm, Dongjin Lee ยท 2025

This paper proposes a robust method for fault detection and severity estimation in multivariate time-series data to enhance predictive maintenance of mechanical systems. We use the Temporal Graph Convโ€ฆ

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Engineering Preprint PDF DOI

Channel Coding meets Sequence Design via Machine Learning for Integrated Sensing and Communications

Sundar Aditya, Morteza Varasteh, Bruno Clerckx ยท 2025

For integrated sensing and communications, an intriguing question is whether information-bearing channel-coded signals can be reused for sensing - specifically ranging. This question forces the hitherโ€ฆ

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Engineering Preprint PDF DOI

InterSliceBoost: Identifying Tissue Layers in Three-dimensional Ultrasound Images for Chronic Lower Back Pain (cLBP) Assessment

Zixue Zeng, Matthew Cartier, Xiaoyan Zhao, Pengyu Chen, Xin Meng, Zhiyu Sheng, Maryam Satarpour, John M Cormack, Allison C. Bean, Ryan P. Nussbaum, Maya Maurer, Emily Landis-Walkenhorst, Kang Kim, Ajay D. Wasan, Jiantao Pu ยท 2025

Available studies on chronic lower back pain (cLBP) typically focus on one or a few specific tissues rather than conducting a comprehensive layer-by-layer analysis. Since three-dimensional (3-D) imageโ€ฆ

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Engineering Preprint PDF DOI

Achievable Sum Secrecy Rate of STAR-RIS-Enabled MU-MIMO ISAC

Ainara Kazymova, Vaibhav Kumar, Christina Popper, Marwa Chafii ยท 2025

Various emerging applications in sixth-generation (6G) wireless demand a seamless integration of communication and sensing services, driving the development of integrated sensing and communication (ISโ€ฆ

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Engineering Preprint PDF DOI

Waveform and Filter Design for Integrated Sensing and Communication Against Signal-dependent Modulated Jamming

Yu Zhou, Qiao Shi, Zhengchun Zhou, Zilong Liu, Pingzhi Fan ยท 2025

This paper focuses on an integrated sensing and communication (ISAC) system in the presence of signal-dependent modulated jamming (SDMJ). Our goal is to suppress jamming while carrying out simultaneouโ€ฆ

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Engineering Preprint PDF DOI

Submillimeter-Accurate 3D Lumbar Spine Reconstruction from Biplanar X-Ray Images: Incorporating a Multi-Task Network and Landmark-Weighted Loss

Wanxin Yu, Zhemin Zhu, Cong Wang, Yihang Bao, Chunjie Xia, Rongshan Cheng, Yan Yu, Tsung-Yuan Tsai ยท 2025

To meet the clinical demand for accurate 3D lumbar spine assessment in a weight-bearing position, this study presents a novel, fully automatic framework for high-precision 3D reconstruction from biplaโ€ฆ

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Engineering Preprint PDF DOI

Cross-Embodiment Robotic Manipulation Synthesis via Guided Demonstrations through CycleVAE and Human Behavior Transformer

Apan Dastider, Hao Fang, Mingjie Lin ยท 2025

Cross-embodiment robotic manipulation synthesis for complicated tasks is challenging, partially due to the scarcity of paired cross-embodiment datasets and the impediment of designing intricate controโ€ฆ

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Engineering Preprint PDF DOI

Simultaneous Energy Harvesting and Bearing Fault Detection using Piezoelectric Cantilevers

P. Peralta-Braz, M. M. Alamdari, C. T. Chou, M. Hassan, E. Atroshchenko ยท 2025

Bearings are critical components in industrial machinery, yet their vulnerability to faults often leads to costly breakdowns. Conventional fault detection methods depend on continuous, high-frequency โ€ฆ

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Engineering Preprint PDF DOI

An Approach of Directly Tracking Multiple Objects

Mingchao Liang, Florian Meyer ยท 2025

In conventional approaches for multiobject tracking (MOT), raw sensor data undergoes several preprocessing stages to reduce data rate and computational complexity. This typically includes coherent proโ€ฆ

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Engineering Preprint PDF DOI

Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning

Tasfiq E. Alam, Md Manjurul Ahsan, Shivakumar Raman ยท 2025

Bearings play an integral role in ensuring the reliability and efficiency of rotating machinery - reducing friction and handling critical loads. Bearing failures that constitute up to 90% of mechanicaโ€ฆ

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Engineering Preprint PDF DOI

On Enhancing Structural Resilience of Multirobot Coverage Control with Bearing Rigidity

Kartik A. Pant, Vishnu Vijay, Minhyun Cho, Inseok Hwang ยท 2025

The problem of multi-robot coverage control has been widely studied to efficiently coordinate a team of robots to cover a desired area of interest. However, this problem faces significant challenges wโ€ฆ

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Engineering Preprint PDF DOI

Leader-Follower Formation Tracking Control of Quadrotor UAVs Using Bearing Measurements

S. Doodeman, Z. Tang, M. Jacinto, R. Cunha, C. Silvestre ยท 2025

This work addresses the practical problem of distributed formation tracking control of a group of quadrotor vehicles in a relaxed sensing graph topology with a very limited sensor set, where only one โ€ฆ

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Engineering Preprint PDF DOI

A method for signal components identification in acoustic signal with non-Gaussian background noise using clustering of data in time-frequency domain

A Drewnicka, A Michalak, R Zimroz, A Kumar, A Wy{l}omanska, J Wodecki ยท 2025

This paper presents a novel method for fault detection in vibration/acoustic signals contaminated with non-Gaussian noise, specifically addressing the challenge of random impulsive and wideband disturโ€ฆ

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