⚡ Category

eess

1710 papers

⚡ electrical engineering

Pilot-Identifiable Single-Parameter Compensation for Power-Amplifier Nonlinearity in IEEE 802.11ax Receivers

This paper proposes a statistically robust, single-parameter receiver for IEEE 802.11ax that reliably estimates power-amplifier saturation from limited pilot subcarriers to compensate nonlinearity, achieving significant spectral-efficiency gains across various modulation schemes and channel models while safely avoiding unnecessary correction in linear hardware conditions.

Pasupuleti Ramakrishna2026-07-03
⚡ electrical engineering

Design of Cooperative Converter with Optimized Deep Learning based Control Mechanism of Battery Cell Balancing for Automotive Applications

This paper proposes a high-power-density, modular Co-operative Dual Active Bridge (CO-DAB) converter controlled by a Deep Balancing Network (DBNet) that integrates voltage step-up and active cell balancing for automotive applications, achieving 96.4% peak efficiency while processing only a fraction of the total output power.

Hemalatha.M, Sampoornam K P2026-07-03
⚡ electrical engineering

Ampere: A Digital Twin-Enabled Cyber-Physical IoT Node for Environmental Health Monitoring in IoMT Systems

This paper introduces Ampere, a secure, edge-intelligent IoT node within the Internet of Environmental Medical Things (IoEMT) framework that utilizes a four-layer architecture and a bidirectional Digital Twin to autonomously monitor, analyze, and respond to environmental health risks in healthcare settings through real-time sensor fusion, adaptive sterilization, and automated hygiene triage.

Sridatta Gorthi2026-07-03
⚡ electrical engineering

Smart Water Flooding for Enhanced Oil Recovery in Heterogeneous Carbonate Reservoirs: Experimental Evaluation of Engineered Brine Performance Under HPHT Conditions

This experimental study demonstrates that engineered brine flooding significantly enhances oil recovery in heterogeneous carbonate reservoirs under HPHT conditions by altering wettability and reducing residual oil saturation through the strategic manipulation of Ca²⁺, Mg²⁺, and SO₄²⁻ ions, yielding an incremental recovery of 20–30% OOIP.

Ahmed Al Alwan, Ehsan Khamehchi2026-07-03
⚡ electrical engineering

Design and Hardware Performance of a LoRa-Based Vehicle Tracking System with Local Data Storage Infrastructure

This paper presents the design and field evaluation of a standalone, LoRa-based vehicle tracking system using custom Heltec ESP32 nodes and local data storage, demonstrating robust long-range performance in suburban environments and viable, though more challenged, operation in dense urban areas through optimized hardware integration and transmission scheduling.

Alejandro H. Espera, Jenith L. Banluta, Princess Camille L. Abar, Gabrielle John N. Undangan, April M. Salazar2026-07-03
⚡ electrical engineering

Simultaneous variation of tooth pitch and spindle speed in milling with unequal-pitch and -helix cutters

This study proposes a novel numerical differentiation-based first-order Hermite full-discretization method (N-1stHDM) to efficiently and accurately predict the stability of milling processes involving simultaneous variations in tooth pitch and spindle speed, demonstrating superior computational speed and acceptable accuracy compared to existing algorithms.

ZiHao Guo, Wen-An Yang, Wei Zhou, YunXiang Zhou2026-07-03
⚡ electrical engineering

A Visual Guided Physics Informed Neural Networks Framework for Real Time Coagulant Dose Optimization in Water Treatment Plants

This study proposes a Real-Time Sensing and Visual Information-Guided Physics-Informed Neural Networks (RTS-VG PINNs) framework that integrates deep visual perception with governing physical laws to overcome the inherent delays of traditional indicators and achieve robust, real-time optimization of coagulant dosage in water treatment plants.

Galang Adira Prayoga, Emir Husni, Reza Darmakusuma, Herto Dwi Ariesyady2026-07-03
⚡ electrical engineering

Cost-constrained selective robotic re-polishing of complex freeform surfaces driven by local quality risk evaluation

This paper proposes a cost-constrained selective robotic re-polishing method for complex freeform surfaces that utilizes a multimodal risk evaluation framework to identify and target only high-risk defective regions, thereby significantly improving surface pass rates while reducing re-polishing area, time, and path length compared to conventional full-area approaches.

Miao Yu, xu liu, Baowen He, Zhen Pan2026-07-03