A Real-Time Flash Memory Storage System in Embedded Environment

2011 ◽  
Vol 341-342 ◽  
pp. 807-810
Author(s):  
Wei Lin ◽  
Yan Yuan Zhang ◽  
Zhan Huai Li
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Flash Memory ◽  
Storage System ◽  
Memory Storage ◽  
Low Power Consumption ◽  
Storage Device ◽  
Object Based ◽  
Consumer Devices ◽  
Embedded Applications

Recently, flash memory is becoming a popular data storage device in most of the electronic consumer devices. It has lots of attractive features such as small size and light weight nature, zero noise, solid-state reliability, low power consumption, and better shock resistant. To make it suitable for real-time embedded applications, this paper presents the design of an object based file system that uses parallel operations to guarantee bounded read-write access latencies to real-time tasks, in the presence of requests from non real-time tasks. The proposed scheme requires minimal support from the underlying operating system.

RT-PLRU: A New Paging Scheme for Real--Time Execution of Program Codes on NAND Flash Memory for Portable Media Players

2011 ◽  
Vol 60 (8) ◽  
pp. 1126-1141 ◽  
Author(s):  
Jong-Chan Kim ◽  
Duhee Lee ◽  
Chang-Gun Lee ◽  
Kanghee Kim
Keyword(s):  
Real Time ◽  
Flash Memory ◽  
Nand Flash ◽  
Nand Flash Memory

Implementation of FastSLAM2.0 on an Embedded System and HIL Validation using Different Sensors Data

2015 ◽  
Vol 6 (2) ◽  
pp. 88-116
Author(s):  
Abouzahir Mohamed ◽  
Elouardi Abdelhafid ◽  
Bouaziz Samir ◽  
Latif Rachid ◽  
Tajer Abdelouahed
Keyword(s):  
Embedded Systems ◽  
Embedded System ◽  
Particle Filter ◽  
Real Time ◽  
Autonomous Navigation ◽  
Hardware In The Loop ◽  
Heterogeneous Architectures ◽  
Localization And Mapping ◽  
Embedded Applications ◽  
Robotic Applications

The improved particle filter based simultaneous localization and mapping (SLAM) has been developed for many robotic applications. The main purpose of this article is to demonstrate that recent heterogeneous architectures can be used to implement the FastSLAM2.0 and can greatly help to design embedded systems based robot applications and autonomous navigation. The algorithm is studied, optimized and evaluated with a real dataset using different sensors data and a hardware in the loop (HIL) method. Authors have implemented the algorithm on a system based embedded applications. Results demonstrate that an optimized FastSLAM2.0 algorithm provides a consistent localization according to a reference. Such systems are suitable for real time SLAM applications.

CompactRIO Based Real Time Implementation of AES Algorithm for Embedded Applications

2019 ◽  
Vol 10 (2) ◽  
pp. 19-36
Author(s):  
El Adib Samir ◽  
Raissouni Naoufal
Keyword(s):  
Power Consumption ◽  
Real Time ◽  
Software Design ◽  
System Architecture ◽  
Advanced Encryption Standard ◽  
Time Cost ◽  
Security Applications ◽  
Aes Algorithm ◽  
Embedded Applications ◽  
Different Levels

For real-time embedded applications, several factors (time, cost, power) that are moving security considerations from a function-centric perspective into a system architecture (hardware/software) design issue. The National Institute of Standards and Technology (NIST) adopts Advanced Encryption Standard (AES) as the most widely used encryption algorithm in many security applications. The AES algorithm specifies 10, 12 and 14 rounds offering different levels of security. Although the number of rounds determines the strength of security, the power consumption issue has risen recently, especially in real-time embedded systems. In this article, the authors present real time implementation of the AES encryption on the compactRIO platform for a different number of AES rounds. The target hardware is NI cRIO-9022 embedded real-time controller from National Instruments (NI). The real time encryption processing has been verified successfully. The power consumption and encryption time experimental results are presented graphically for 10, 12 and 14 rounds of processing.

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