eess papers | Gist.Science

Pressure-Difference Control Method for the Pump Set of a Pile-Bottom Sediment Cleaning Robot Based on Flow-Balance Feedforward Compensation

This paper proposes and validates a flow-balance feedforward fuzzy-PID control method for the pump set of a pile-bottom sediment cleaning robot, demonstrating through simulations that it significantly reduces pressure difference peak deviations and settling times compared to traditional PID and fuzzy-PID controllers under various inflow and flow disturbances.

Yongrui Wang, Jinge Ma, Shuguang Wang, Qiang GAO, Zhe Ren, Duohua Wu, Zhenbao LI, Jian Zhang2026-07-20

⚡ electrical engineering

Hydraulic Effects of Longitudinal Debris Accumulation Upstream of Trash Screens in Open Channels

This study demonstrates through 75 laboratory experiments that the longitudinal length of debris accumulation upstream of trash screens significantly increases upstream water levels and reduces downstream hydraulic efficiency, highlighting the need to incorporate accumulation length into the design and maintenance of open channel systems.

Emam. A Osman, Ola. M Eraky2026-07-20

⚡ electrical engineering

Voltage regulation control for V2G bidirectional interleaved converters based on a cascaded extended state observer

This paper proposes an improved voltage regulation controller for V2G bidirectional interleaved converters that utilizes a cascaded extended state observer with a two-layer third-order nested architecture and cross-layer feedforward mechanism to effectively balance noise suppression and steady-state accuracy while outperforming traditional control methods in dynamic tracking and disturbance rejection.

Qi Wu, Yuan Tian, Qitao Lin, Yuan Ge2026-07-20

⚡ electrical engineering

Learning-Driven Autonomy Pipeline for Horizontal Wellbore Geology Prediction

This paper presents a learning-driven autonomy pipeline for horizontal wellbore geosteering that integrates ridge regression for geometry-based true-vertical-thickness prediction with a residual sparse-attention conditional variational autoencoder to provide probabilistic lithologic corrections, uncertainty quantification, and actionable steering guidance.

Lakshman Mahto2026-07-20

⚡ electrical engineering

Learning Analytics-Driven Personalized Exercise Prescriptions in Secondary School Physical Education: A Quasi-Experimental Evaluation of an AI-Supported Formative Assessment System

This quasi-experimental study demonstrates that an AI-supported, learning analytics-driven system significantly improves secondary school physical education outcomes by delivering personalized exercise prescriptions and actionable feedback, with the greatest benefits observed among students with lower baseline fitness levels.

bingbing shao, jing su, yongrong zhang, chuan fu2026-07-17

⚡ electrical engineering

Human-centric multi-objective optimisation of operator safety and productivity

This study employs multi-objective metaheuristic optimization to identify cutting parameters that balance operator safety (minimizing heart rate and perceived risk) with productivity (maximizing material removal rate) in milling operations, revealing that the Genetic Algorithm offers the best trade-off while feed rate is the primary driver of operator stress.

Gregoire Tambwe MBANGU, George STILWELL, Yilei ZHANG, Zuzhen Ji, Dirk PONS2026-07-17

⚡ electrical engineering

Pipe Network Parameter Estimation Using a Wave Propagation Path Strategy

This paper introduces a novel, scalable parameter estimation framework for pipeline networks that utilizes a wave-propagation-path strategy and probabilistic methods to efficiently estimate wave speeds and friction factors by focusing on coarse pressure signal features, thereby avoiding complex nonlinear equations and demonstrating robustness in both theoretical and realistic urban water distribution systems.

Aaron C. Zecchin, Nhu Do, Wei Zeng, Alireza Keramat, Martin F. Lambert2026-07-17

⚡ electrical engineering

Aquivo: An open-source interactive tool for holistic water allocation under competing economic, environmental, and social objectives

This study introduces Aquivo, an open-source, interactive Python-based decision-support tool that utilizes multi-objective optimization and the TOPSIS method to generate empirically grounded, ranked water allocation strategies balancing economic, environmental, and social objectives.

Michael Yehya, Fatima Mansour, Ali Ayoub, Tang Wang2026-07-17

⚡ electrical engineering

AI-Guided Adaptive Control in Membrane Bioreactors for Real-Time Micropollutant Removal: Bridging the Explainability and Multi-Contaminant Gap in Intelligent Wastewater Treatment

This research introduces the XAI-AMBR framework, an explainable AI system combining LSTM, SHAP, and reinforcement learning that enables real-time, multi-contaminant adaptive control in full-scale Membrane Bioreactors, achieving superior micropollutant removal while significantly reducing energy consumption.

Devesh ojha, Anuradha Misra2026-07-17

⚡ electrical engineering

Underwater Photogrammetric Documentation as a Testbed for 3DF Zephyr Software: An Evaluation Study in the Search for an Alternative to Agisoft Metashape

Driven by the need to find alternatives to Agisoft Metashape due to geopolitical restrictions, this study evaluates 3DF Zephyr's capability in underwater photogrammetry and confirms its ability to produce high-quality 3D models comparable to industry standards, demonstrating that reconstruction quality depends primarily on input data rather than software limitations.

Wojciech Gajtkowski2026-07-17

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