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Whale Optimization Algorithm-Based Deep Learning Model for driver identification in Intelligent Transport Systems

Computers, Materials & Continua 2023年第5期75卷 3497-3515页

作者： Yuzhou Li Chuanxia Sun Yinglei Hu Information Technology Division Henan Transportation Development CenterZhengzhou450000China

driver identification in intelligent transport systems has immense demand,considering the safety and convenience of traveling in a *** rapid growth of driver assistance systems(DAS)and driver identification system propels the need for understanding the root causes of automobile ***,in the case of insurance,it is necessary to track the number of drivers who commonly drive a car in terms of insurance *** is observed that drivers with frequent records of paying“fines”are compelled to pay higher insurance payments than drivers without any penalty *** driver identification act as an important information source for the intelligent transport *** study focuses on a similar objective to implement a machine learning-based approach for driver *** data is collected from in-vehicle sensors using the controller area network(CAN)and then converted to binary form using a one-hot encoding ***,the transformed data is dimensionally reduced using the Principal Component Analysis(PCA)technique,and further optimal parameters from the dataset are selected using Whale Optimization Algorithm(WOA).The most relevant features are selected and then fed into a Convolutional Neural Network(CNN)*** proposed model is evaluated against four different use cases of driver *** results show that the best prediction accuracy is achieved in the case of drivers without *** proposed model yielded optimal accuracy when evaluated against the K-Nearest Neighbors(KNN)and Support Vector Machines(SVM)models with and without using dimensionality reduction approaches.

关键词： driver identification intelligent transport system PCA WOA CNN

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Current state and progress of research on forensic biomechanics in China

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Forensic Sciences Research 2021年第1期6卷 1-12页

作者： Yijiu Chen shanghai Key Lab of Forensic Medicine Key Lab of Forensic scienceMinistry of Justiceshanghai Forensic service Platformacademy of Forensic scienceshanghaichina

Forensic biomechanics gradually has become a significant component of forensic *** biomechanics is evidence-based science that applies biomechanical principles and methods to forensic practice,which has constituted one of the most potential research *** this review,we introduce how finite element techniques can be used to simulate forensic cases,how injury criteria and injury scales can be used to describe injury severity,and how tests of postmortem human subjects and dummy can be used to provide essential validation *** review also describes research progress and new applications of forensic biomechanics in China.

关键词： Forensic sciences forensic biomechanics finite element analysis multiple rigid body postmortem human subjects(PHMS) injury reconstruction injury criteria material property driver identification anthropometric test devices injury biomechanism

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