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7 articles for “non-linearity correction”
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Implementation of LMS Calibration Algorithm for 12-Bit Pipelined ADC
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE As the technology is scaling, digital systems perform well with that but analog systems undergo degradation in their performance due to reduced gain. Thus, to improve their performance various calibration techniques are used. This paper implements one of such a digital calibration technique using digital signal processing, to compensate for the errors in 12-bit pipelined ADC with 1.5 bit/stage architecture at lower …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 104–113 Read article
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Investigate the origin of the Hall Effect
Abstract: The Hall Effect was first recorded by a scientist named E. H. Hall. Detailed information on how the Hall effect is produced and what needs to be done to understand it is also provided here. After a brief introduction of the Hall operating rule and the basic characteristics of Hall devices, the most recent developments in the field are reviewed. It outlines: better information about the influence of device geometry …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 11, Issue 2, 2021 · pp. 8–13 Read article
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Power Factor Improvement of Boost PFC Converter for Street Light Application
Abstract: Street lighting is an integral part of urban infrastructure, ensuring public safety and urban development. The conventional street lighting systems often exhibit poor power factor characteristics, leading to inefficient energy usage and increased electricity costs. This paper presents a study focused on enhancing the power factor of a Boost Power Factor Correction (PFC) converter tailored specifically for street light applications. The Light Emitting Diode (LED) streetlights powered by AC sources …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 2, 2023 · pp. 12–18 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Novel Approach for Confidence Estimation using Support Vector Machines for More Accurate Value Prediction
Abstract: Data dependencies create hurdles in exploiting instruction-level parallelism (ILP) among instructions. To overcome them, data value predictors are used which guess instructions’ result before it is actually executed. Thus, future instructions which depend on the outcome of that instruction executes sooner. But, since value prediction accuracy is very crucial in determining the amount of parallelism that can be exploited, confidence estimation is used along with it to lessen the value …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 18–29 Read article
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Design of Thermal Actuator for Correcting Misalignment in Optics of Space Telescopes
Abstract: There are two types of actuators such as: linear actuator and rotary actuator. Basically, linear actuators are used for the actuation such as lifting, switching, moving etc. But when we use the actuator for the correction of misalignment, it requires precision in output. Recently there are many types of actuators available in market such as brushless DC motors, stepper motors, shape memory alloys, hydraulic and pneumatic actuators, piezoactuator, thermal actuators …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 1, 2017 · pp. 1–4 Read article
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A MODEL TO PREDICT ANGULAR PHASE SHIFT BETWEEN WIND AND WAVES FOR FLOATING OFFSHORE WIND TURBINE APPLICATIONS
Abstract: This paper develops a model to predict angular phase shift between wind and waves that can be applied to floating offshore wind turbines. A theoretical simulation, developed in MATLAB program, has been run using non-linear effects that have led to specific algorithms based on matrix development of wind and waves direction. The modelling uses a random generator to create the wind and wave direction on the basis that the angular …
Published in Journal of Offshore Structure and Technology · Vol. 10, Issue 1, 2023 · pp. 1–12 Read article