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Mixed-Integer Linear Programming Model for Reducing the Backlog of Service Orders at Electric Power Utilities

This paper proposes a Mixed-Integer Linear Programming model with a two-phase objective function to optimize the strategic allocation of technical teams and reduce service order backlogs at electric utilities, demonstrating through extensive testing and ablation studies that it significantly outperforms traditional FIFO, EOQ, and (s,S) policies in efficiency, cost, and service levels.

Maria Sofia Luna Delgadillo, Vinicius Jacques garcia, Stéfane Dias Rodrigues, Lynceo Falavigna Braghirolli, Laura Giovan (…)2026-10-20

⚡ electrical engineering

Impact of various STOP measures on welding fume workplace exposure: A quantitative, predictive approach

To address the need for quantitative exposure control under the EU's updated CMRD directive, the Austrian Welding Society developed the "ÖGS WeldAir" web application, a predictive tool that models the combined impact of various STOP measures on welding fume and hazardous metal concentrations to facilitate risk-based workplace assessments.

Gerhard POSCH, Guido REUTER, Armin BRUDERHOFER2026-10-20

⚡ electrical engineering

A 0.5 cm³ Ingestible Capsule Sensor with Synchronized Sensing and Tracking for Active Gastrointestinal Event Identification and Localization

This paper presents a 0.5 cm³ ingestible capsule sensor that leverages intra-body coupled communication to achieve synchronized, real-time multimodal sensing and precise spatial localization of gastrointestinal biomarkers, overcoming traditional size and power limitations to enable comprehensive mapping of dynamic gut microenvironments.

Qingjun Liu, Zijian An, Fengrong Liu, Ang Li, Yuxi Li, Yunrui Cao, Zhenghan Shi, Xin Li, Hao Wen, Rujing Sun2026-10-20

⚡ electrical engineering

Design and validation of a 3-DOF wrist rehabilitation trainer with BP-PID impedance control

This paper presents the design, simulation, and experimental validation of a 3-DOF wrist rehabilitation trainer utilizing a BP-PID impedance control strategy, which effectively compensates for rotational misalignment and significantly improves motion range, torque control, and muscle activation compared to conventional PID methods.

Yanpeng Kan, Yu Chen, Ce Guo, Weiwei Duan, Ling Chen, Xiaoqing Hu2026-10-20

⚡ electrical engineering

Trigger Determination and Evaluation of Capability Emergence in Combat Systems Based on Self-Organized Criticality Phase Transition

This paper proposes a dual micro-macro framework grounded in self-organized criticality theory and cellular automata to determine and quantify the emergence of combat system capabilities, demonstrating through simulation that specific density and fractal dimension thresholds trigger a critical state where emergent performance significantly exceeds linear superposition expectations.

Long-yue Li, Guo-qing Zhang, Pan-rong Wang, Ye Tian2026-10-20

⚡ electrical engineering

Assessing Climate-Driven Ground Movement Effects on Buried Pipelines Using Efficient 2D and 3D Finite Element Modelling

This study demonstrates that a computationally efficient 2D finite element model, developed in Python, can accurately replicate the soil-pipe interaction behavior and displacement trends of a high-fidelity 3D PLAXIS model under varying climate-driven soil moisture conditions, thereby reducing computational costs by two orders of magnitude to enable large-scale risk assessments for buried pipeline networks.

Nikolaos Reppas, Xilin Xia, Phatharaphong Yensri, Soroosh Sharifi, Asaad Faramarzi, Nicole Metje2026-10-20

⚡ electrical engineering

Improved design and field deployment of laser induced breakdown spectroscopy (LIBS) in-situ groundwater trace element analyzer

This paper reports the successful field deployment of a redesigned, side-facing miniaturized LIBS groundwater sensor that eliminates bubble-induced data variability and demonstrates improved performance through seven weeks of continuous subsurface operation.

Daniel Hartzler, Chet Bhatt, Christopher Ulishney, Dustin McIntyre2026-10-20

⚡ electrical engineering

Critical Studies on Cycle Time Reduction Using Lean Tools in Aerospace Components Manufacturing Industries

This research demonstrates that integrating Lean Manufacturing tools with Artificial Intelligence-based predictive methods significantly reduces cycle time, enhances operational efficiency, and optimizes resource utilization in the complex, high-precision environment of aerospace component manufacturing.

Sasidharan TP, K Manjunatha, Jayashish Kumar Pandey2026-10-20

⚡ electrical engineering

GPU-native extension of a high-order compressible solver to multicomponent reacting flows

This paper presents a GPU-native extension of the STREAmS-2.0 solver to multicomponent reacting flows, featuring reformulated energy-preserving discretization, Cantera-integrated kinetics with runtime tabulation, and an operator-splitting strategy for stiffness, which achieves over 99% weak-scaling efficiency on up to 512 A100 GPUs while being validated against nine benchmark cases.

Edoardo Forti, Marco Fratini, Agostino Neri, Mauro Valorani, Fulvio Stella, Matteo Bernardini, Pietro Paolo Ciottoli2026-10-20

⚡ electrical engineering

A Residual Neural Network Framework for Rotating Sound Source Localization

This paper proposes a ResNet-based framework that utilizes Mode Composition Beamforming-derived cross-spectral matrices to overcome ghost contributions and achieve high-accuracy, real-time localization of rotating sound sources using phased microphone arrays.

Yifeng Yao, Ce Zhang, Cheng Wei Lee, Wei Ma2026-10-20

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