⚡ Category

eess

1710 papers

⚡ electrical engineering

Effect of lateral mechanical smoke exhaust on smoke backflow behavior and temperature profile in a mountain tunnel: A numerical investigation and analysis

This study employs numerical simulations to analyze the effects of lateral mechanical smoke exhaust on smoke backflow and temperature profiles in mountain tunnels, revealing asymmetric flow characteristics and developing empirical models to predict longitudinal temperature decay and back-layering length for improved ventilation system design.

Mintao Jia, Shaoxuan Wang, Li Chen, Xudui Liu, Yupeng Hao, Mingxuan Yang, Jiaxian Cheng, Wenxin Qiu, Zhisheng Li2026-07-06
⚡ electrical engineering

Autonomous Camera-driven Environmental Risk Intelligence Framework Integrating Digital Twin Analytics for Smart Firework Industry Safety

This paper proposes an autonomous, multimodal framework that integrates PTZ cameras, drones, wearable IoT sensors, and a Digital Twin with Vision Foundation Models to provide real-time environmental risk intelligence, predictive safety analytics, and automated emergency responses for the smart firework industry.

Kalaivani Krishnan, Anbu Karuppusamy Shanmugam2026-07-06
⚡ electrical engineering

On-Board Real-Time AI Compensation System for Nonlinear Drift in Electrochemical Seismometers

This paper proposes Wiener-KAN, an on-board real-time compensation system for electrochemical seismometers that combines Wiener-model linearization with a precomputed, lookup-table-based Kolmogorov-Arnold network to effectively mitigate nonlinear frequency drift and sensitivity errors while maintaining ultra-low latency and minimal resource usage on microcontrollers.

Hongyuan Yang, Ang Li, Huaizhu Zhang, Xintong Dong, Fan Zheng, Linhang Zhang, Can Liu, Ruojin Li2026-07-06
⚡ electrical engineering

System and Method for Controlling Battery-Free Mobility Based on O(1) Energy Complexity in Smart Factory Mesh Grids

This paper proposes a novel spatiotemporal O(1) resonance computing architecture that eliminates chemical batteries in smart factory mobility by utilizing a 64-byte coordinate vector, virtual quantum processing, and evanescent wave coupling to achieve constant-latency control, 92.5% wireless power transfer efficiency, and zero hacking risk.

Jung Min Ho2026-07-06
⚡ electrical engineering

The Size Effect of TiO₂ Nanoparticles as a Promising Fuel Additive for Diesel and Waste Tyre Pyrolysis Oil Blend: Assessment of Thermodynamic, Environmental, and Economic Parameters

This study evaluates the impact of varying TiO₂ nanoparticle sizes (13–38 nm) added to a diesel/waste tyre pyrolysis oil blend on engine performance, emissions, and thermodynamic efficiency, revealing that while larger nanoparticles reduce CO and HC emissions, they simultaneously increase fuel consumption and decrease thermal and exergy efficiencies compared to pure diesel.

Ahmet ARSLAN, Talha ERTÜRK, Battal DOĞAN, Hayri YAMAN, Murat Kadir YEŞİLYURT2026-07-06
⚡ electrical engineering

Influence of hooked-end steel fibres on the fresh and hardened properties of concrete using Dreux–Gorisse mix design method

This study demonstrates that incorporating hooked-end steel fibres (up to 40 kg/m³) into concrete designed via the Dreux–Gorisse method significantly enhances 28-day compressive strength by 32.7% and density through crack-bridging mechanisms, albeit at the cost of a 75% reduction in workability.

NOUR-EDDINE OUSLIMANE, Hanane BAREBITA, Youssef MERROUN, Jaouad BENSALAH, Fouad DIMANE, Mustapha BELFAQUIR2026-07-06
⚡ electrical engineering

Physics-Informed Deep Learning Enabled Ultra-Sparse Projection Neutron Computed Tomography

This paper presents a physics-informed deep learning framework that reconstructs high-fidelity neutron computed tomography images from ultra-sparse angular sampling, reducing acquisition time by over 90% while maintaining quantitative structural integrity and enabling operando studies of fast dynamic processes.

Fahrurrozi Akbar, Nur Bayyinah, Ratna Dewi Syarifah, Andeka Tris Susanto, Bharoto Bharoto, Khairul Handono, Ranggi Sahmu (…)2026-07-06
⚡ electrical engineering

A Systematic Framework for Preliminary Dimensioning and Characterisation of Internal Combustion Engines

This paper presents a systematic framework and a corresponding spreadsheet-based computational tool for the preliminary dimensioning and characterization of internal combustion engines, integrating geometric, thermodynamic, and dynamic analyses to estimate key component dimensions and performance indicators based on limited initial operating data.

Karthikeyan Sathasivam, Punitha N, ilhami COLAK, Arunprasad J, Rajkumar S, Muthuraman Subbiah, Prathima A2026-07-06
⚡ electrical engineering

Offline accuracy is not enough: closed-loop instability and stabilisation of a wall-sensor neural estimator in opposition control

This paper demonstrates that while a neural estimator trained on wall-shear-stress data can accurately reconstruct near-wall flow quantities offline, it fails in closed-loop opposition control due to distribution shifts caused by the controller itself, necessitating spectral consistency constraints and closed-loop retraining to achieve stable, drag-reducing performance.

Giorgio Maria Cavallazzi, Miguel Pérez Cuadrado, Alfredo Pinelli2026-07-06