1663 papers
This paper presents a low-cost, modular spectrometer constructed from repurposed e-waste components like DVDs and webcams that achieves commercial-grade performance while advancing circular economy principles and equitable STEM education.
This study demonstrates that pixel-level data fusion of ultrasonic testing, infrared thermography, and X-ray micro-computed tomography effectively overcomes the limitations of individual non-destructive techniques to provide a more complete and conservative characterization of impact damage in Prepreg Platelet Molded Composites with complex stochastic meso-structures.
XYclopZ-LPT is a cost-effective, single-camera 4D Lagrangian particle tracking method that utilizes structured illumination and high-speed imaging to achieve time-resolved 3D volumetric flow measurements with accuracy comparable to multi-camera systems, thereby democratizing advanced flow diagnostics for diverse scientific and industrial applications.
This Scopus-based systematic evidence map reveals a critical gap in the literature regarding commodity Wi-Fi sensing for managed multi-AP WLANs, finding that while signal capture is well-documented, studies lack the necessary evidence to substantiate cooperative management, interface completeness, and quantifiable service impacts.
This paper presents a technical analysis of IEC 60529 standardized ingress protection testing to interpret dust and water exposure as reliability diagnostics, thereby identifying failure mechanisms and offering design insights for outdoor electrical equipment.
This paper proposes a Hybrid Confidence Fusion Model that integrates multiple Dissolved Gas Analysis diagnostic methods via a relational database and adaptive confidence voting to overcome the limitations of existing techniques, thereby enhancing the consistency, robustness, and reliability of maintenance for oil-immersed power equipment.
Using MATLAB/Simulink modeling, this paper demonstrates that replacing classic AC Electric Arc Furnaces with multipulse converter-fed systems significantly improves grid power quality by reducing reactive power demand, increasing the power factor to 0.87, and lowering harmonic voltage distortion at the Point of Common Coupling by 37% to 44%.
This study demonstrates that implementing emissivity-balanced radiative cooling rooftops in tropical cities like Kolkata, Delhi, and Kuala Lumpur significantly stabilizes urban photovoltaic performance across seasons by drastically reducing panel temperatures and cooling energy demand in summer while maintaining net productivity gains in winter, thereby offering a scalable solution for enhancing urban energy resilience under climate warming.
This study investigates the formation mechanisms and parameter influences of multi-type burrs on 6061-T6 aluminum alloy across a wide cutting depth range (0.2–1.4 mm) by combining thermo-mechanical coupled finite element simulations with orthogonal experiments, revealing that feed rate and spindle speed are the dominant factors and that up-milling generates significantly larger burrs than down-milling.
This paper proposes a novel Choquet–Sugeno framework integrated with an AI-driven AHP protocol to quantify non-additive variability in the Functional Resonance Analysis Method (FRAM), demonstrating through an aviation safety case study that this approach captures systemic risks invisible to traditional additive models.