Results (10)
Search Parameters:
Keyword: LinearityClosed Loop Capacitive Accelerometer Model using Simple Regression Test for Linearity
This article extends novelty of modeling capacitive accelerometer with PID controller to provide PI controller for better tuning and statistical test to determine the linear validation characteristics of closed capacitive accelerometer. Capacitive accelerometer is a sensor which uses the dynamic law of physics model Position-Velocity-Accelerator (PVA) by the movement of an electrode coupled to mass…
Read MoreComparison of Support Vector Machine-Based Equalizer and Code-Aided Expectation Maximization on Fiber Optic Nonlinearity Compensation Using a Proposed BER Normalized by Power and Distance Index
Advances in optimizing optical fiber communications have been on the rise these recent years due to the increasing demand for larger data bandwidths and overall better efficiency. Coherent optics have focused on many kinds of research due to its ability to transport greater amounts of information, have better flexibility in network implementations, and support different…
Read MoreLinearity Improvement of VCSELs based Radio over Fiber Systems utilizing Digital Predistortion
The article proposes a Digital Predistortion (DPD) methodology that substantially meliorates the linearity of limited range Mobile Front Haul links for the extant Long-Term Evolution (LTE) and future (5G) networks. Specifically, the DPD is employed to Radio over Fiber links that contrive of Vertical Cavity Surface Emitting Lasers (VCSELs) working at 850 nm. Both, Memory…
Read MoreAssessment of Scattered-Bend Loss in Polymer Optical Fiber (POF) Displacement Sensor
This work investigated the coupling behavior of the scattered-bend loss in displacement sensor during the bending of the fiber by using a multimode polymer optical fiber (POF). To utilize the scattered-bend effect for displacement measurement, a side coupling technique can be used by twisting a pair of POF fibers and bent the structure into a…
Read MoreAutomated Agriculture Commodity Price Prediction System with Machine Learning Techniques
The intention of this research is to study and design an automated agriculture commodity price prediction system with novel machine learning techniques. Due to the increasing large amounts historical data of agricultural commodity prices and the need of performing accurate prediction of price fluctuations, the solution has largely shifted from statistical methods to machine learning…
Read MoreRobust Adaptive Feedforward Sliding Mode Current Controller for Fast-Scale Dynamics of Switching Multicellular Power Converter
Higher efficiency and lower losses are widely considered as the best metrics to optimize, in a high-power converter performance context. To provide a solution to the ever-increase of high switching frequencies challenges, we must explore soft-switching technologies to resolve interface issues and reduce the switching losses. This manuscript describes a comparative analysis between the fixed-bandwidth…
Read MoreDevelopment of a Technology and Digital Transformation Adoption Framework of the Postal Industry in Southern Africa: From Critical Literature Review to a Theoretical Framework
The pressing and most urgent challenge for most of the Posts in Southern Africa is to transit from its historical reputation of being a snail-paced, inefficient, loss-making and ineffective service provider to an agile, innovative, solution-driven and highly competitive service provider that strive for excellence. In this context, adoption, and diffusion of technology and digital…
Read MoreAdvanced Control Strategies on Nonlinear Testbench Dynamometer System for Simulating the Fuel Consumption
The adoption of Engine-in-the-loop technology shows real behaviour. This study presents a test runs simulation platform with real engine data. In addition, a test bench model is a demand approach that offers a significant potential to provide an excellent reproducibility of test runs. The platform includes the data integration to upgrade tests run and a…
Read MoreNonlinear Analytic Modeling for Novel Linear Variable Reluctance Motors
In this paper, an analytical modeling is proposed to compute the static and dynamic characteristics of linear variable reluctance motors with taking account of the saturation and the non-linearity of the magnetic circuit. The proposed model is based on the Fourier series expression of the phase flux in which the variation of the linkage flux…
Read MoreA Resolution-Reconfigurable and Power Scalable SAR ADC with Partially Thermometer Coded DAC
Power consumption is becoming more and more important in the Internet of Things (IOT). The ADC is the main power hungry in multi-sensor electronic systems and effectively reducing ADC power consumption without affecting ADC characteristics is an important. This paper is extended from the conference paper. The segmented SAR ADC presents reconfigurable 9 to 12-bit…
Read More
