Kinematic adaptive frequency sampling combined spatio temporal features for snow monitoring in aerospace applications
作者：
Parameshwaran Ramalingam;Lakshminarayanan Gopalakrishnan;Manikandan Ramachandran;Rizwan Patan*
通讯作者：
Rizwan Patan
作者机构：
Department of Electronics and Communication, National Institute of Technology, Tiruchirappalli 620015, India
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli 620015, India
School of Computing, SASTRA Deemed University, Tamil Nadu 613401, India
Department of Computing Science & Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada 520007, India
通讯机构：
Department of Computing Science & Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada 520007, India
语种：
英文
关键词：
Spatio temporal,Kinematic,Adaptive sampling,Time factor matrix,Spatial association matrix,Probability uncertainty measure
期刊：
Expert Systems with Applications
ISSN：
0957-4174
年：
2021
卷：
184
页码：
115472
摘要：
A new era of aerospace systems has instigated highly coupled frameworks, leading to a significant rise in design complexity. The lack of present-day design systems to govern this complexity has resulted in considerable time and schedule overruns compromising the accuracy during the development of military and commercial platforms. This work presents the framework for a new design process to reduce the complexity and improve accuracy using Spatio Temporal-based Kinematic Adaptive Sampling (ST-KAS). First, dynamic modeling of the Time Factor Matrix (TFM) and Spatial Association Matrix (SAM) based on the location and time is performed to extract relevant features. Second, th...
