RESEARCH OF MESSAGE SCHEDULING FOR IN-VEHICLE FLEXRAY NETWORK STATIC SEGMENT BASED ON NEXT FIT DECREASING (NFD) ALGORITHM

Research of Message Scheduling for In-Vehicle FlexRay Network Static Segment Based on Next Fit Decreasing (NFD) Algorithm

FlexRay is becoming the Gloves in-vehicle communication network of the next generation.In this study, the main contents are the FlexRay network static segment scheduling algorithm and optimization strategy, improve the scheduling efficiency of vehicle network and optimize the performance of communication network.The FlexRay static segment character

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An Ensemble Machine Learning Model for Early Prediction of Vancomycin-Induced Acute Kidney Injury in ICU Patients

Introduction: Acute Kidney Injury (AKI) is a severe complication of vancomycin treatment due to its nephrotoxic effects.However, research on predicting AKI in this high-risk group remains limited.This study presents a stacking ensemble machine learning model designed to predict the onset of AKI in this patient population.Methods: Leveraging data fr

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The flash crash: a review

Purpose - The purpose of Salad Spoons this paper is to present an overview of the flash crash, and explain why and how it happened.Design/methodology/approach - The author summarizes several studies suggesting various perspectives on the flash crash and its causes.Furthermore, the author highlights recently proposed and introduced improvements and

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An Inductive Debris Sensor for a Large-Diameter Lubricating Oil Circuit Based on a High-Gradient Magnetic Field

Wear is one of the main factors of machine failure.If abnormal wear was not detected in time during the operation of a mechanical system, it probably leads to catastrophic consequences.The wear debris in the lubricating oil circuit contains much information about equipment wear.Consequently, debris detection is regarded as an effective way to detec

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