Spark (mathematics)

About: Spark (mathematics) is a research topic. Over the lifetime, 7304 publications have been published within this topic receiving 63322 citations.

Ignition system tester

Abstract: This specification discloses testing vehicle primary ignition systems by taking the integral of the primary spark plug firing voltage versus time over a time period when the spark should occur. To determine when an integration output should be evaluated, a phase locked loop circuit is used to predict the occurrence of an ignition firing pulse. To compensate for changes in engine speed and yet disregard extraneous spark plug firings, the phase locked loop circuit contains two loop filters having different response times which are automatically selected to minimize response to erroneous or missing spark plug firings and maximize response to actual engine RPM changes.

Open-loop combustion timing control of a Spark-Ignited engine

Abstract: In this paper, we propose a control strategy to improve the combustion efficiency of spark-ignited engines More precisely, we adapt the spark ignition time according to variations of thermodynamic conditions of the combustion chamber during transients Sensitivity of a simple proposed combustion model (ordinary differential equations governing the flame propagation phenomenon) is used to compute an open-loop control law An end-point matching condition is formulated to guarantee that the middle of combustion occurs at an optimal time Simulation results stress the relevance of the approach

Interactive Big Data Management in Healthcare Using Spark

Abstract: This paper gives an insight on how to use apache spark for performing predictive analytics using the healthcare data. Large amount of data such as Physician notes, medical history, medical prescription, lab and scan reports generated by the healthcare industry is useless until there is a proper method to process this data interactively in real-time. Apache spark helps to perform complex healthcare analytics interactively through in-memory computations. In this world filled with the latest technology, healthcare professionals feel more comfortable to utilize the digital technology to treat their patients effectively. To achieve this we need an effective framework which is capable of handling large amount of structured, unstructured patient data and live streaming data about the patients from their social network activities. Apache Spark plays an effective role in making meaningful analysis on the large amount of healthcare data generated with the help of machine learning components supported by spark.

On-board knock probability map learning–based spark advance control for combustion engines:

Abstract: This article presents an on-board map learning–based spark advance control framework for combustion engines. The proposed control framework addresses the knock probabilistic constrained thermal eff...