Highly scalable intelligent sensory application and time domain matrix for safety-critical system design
The designs of highly scalable intelligent sensory application—Ethernet-based communication architectures—are moving toward the integration of a fault recovery and fault-detection algorithm on the automotive industry. In particular, each port on the same network interface card design is required to...
Main Author: | Taikyeong Ted Jeong |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2018-04-01
|
Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147717741102 |
Similar Items
-
Deep Neural Network Algorithm Feedback Model with Behavioral Intelligence and Forecast Accuracy
by: Taikyeong Jeong
Published: (2020-09-01) -
Construction of Scalable Macro-models of Interconnects Using the Time-Domain Pencil of Matrix Method
by: Che-Ching Wu, et al.
Published: (2009) -
Time-Series Data Classification and Analysis Associated With Machine Learning Algorithms for Cognitive Perception and Phenomenon
by: Taikyeong Jeong
Published: (2020-01-01) -
A Scalable Safety Critical Control Framework for Nonlinear Systems
by: Thomas Gurriet, et al.
Published: (2020-01-01) - Scalable and Structured High Dimensional Covariance Matrix Estimation