scholarly journals A Real time ZigBee Based Locating System

2011 ◽  
pp. 34-40
Author(s):  
D. Rakesh ◽  
R. Vignesh
Keyword(s):  
Operating System ◽  
Real Time ◽  
High Performance ◽  
Low Cost ◽  
Windows Ce ◽  
Embedded Operating System ◽  
Wireless Data ◽  
Reduced Instruction Set Computer ◽  
Locating System ◽  
Embedded Applications

Embedded Systems based on ARM processors are used extensively in mobile devices like PDA’s and MP3 players.ARM is 32bit Reduced Instruction Set Computer(RISC).Windows CE is real time, multi-task operating system that works on a 32-bit processor. This paper suggests Windows CE embedded operating system, and how to build a platform for Windows CE operating system embedded in a LS5310 ARM11 microprocessor S3C6410 and also the design of Windows CE embedded applications based on Embedded VC++ 4.0. Here we are employing RS232 serial port of ARM 11 processor and ZigBee wireless data communications module to design an application for a ZigBee location system with an easy-to-use interface. It performs multiple functions like information and data receiving, saving, processing and display. It has advantages of high performance, low cost, and low power consumption and is an important component of the network locating system.

scholarly journals A Redundant Configuration of Four Low-Cost GNSS-RTK Receivers for Reliable Estimation of Vehicular Position and Posture

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5853
Author(s):  
Jesús Morales ◽  
Jorge L. Martínez ◽  
Alfonso J. García-Cerezo
Keyword(s):  
Operating System ◽  
Real Time ◽  
Reference System ◽  
High Performance ◽  
Low Cost ◽  
Sensor System ◽  
Dynamic Tests ◽  
Irregular Terrain ◽  
Reliable Estimation ◽  
Accurate Position

This paper proposes a low-cost sensor system composed of four GNSS-RTK receivers to obtain accurate position and posture estimations for a vehicle in real-time. The four antennas of the receivers are placed so that every three-antennas combination is optimal to get the most precise 3D coordinates with respect to a global reference system. The redundancy provided by the fourth receiver allows to improve estimations even more and to maintain accuracy when one of the receivers fails. A mini computer with the Robotic Operating System is responsible for merging all the available measurements reliably. Successful experiments have been carried out with a ground rover on irregular terrain. Angular estimates similar to those of a high-performance IMU have been achieved in dynamic tests.

Performance Comparisons of Timing Techniques in a Non-Real-Time Environment

2005 ◽  
Author(s):  
Frederick M. Proctor ◽  
Justin R. Hibbits
Keyword(s):  
Operating System ◽  
Real Time ◽  
Operating Systems ◽  
High Performance ◽  
Low Cost ◽  
General Purpose ◽  
Control Applications ◽  
Real Time Operating System ◽  
Performance Comparisons

General-purpose computers are increasingly being used for serious control applications, due to their prevalence, low cost and high performance. Real-time operating systems are available for PCs that overcome the nondeterminism inherent in desktop operating systems. Depending on the timing requirements, however, many users can get by with a non-real-time operating system. This paper discusses timing techniques applicable to non-real-time operating systems, using Linux as an example, and compares them with the performance that can be obtained with true real-time OSes.

Research and Development of Embedded CNC System for Drilling Based on ARM

2011 ◽  
Vol 291-294 ◽  
pp. 2733-2736 ◽  
Author(s):  
Bang Fu Wang
Keyword(s):  
Operating System ◽  
Real Time ◽  
Ultrasonic Vibration ◽  
High Performance ◽  
Drilling Process ◽  
Embedded Operating System ◽  
Cnc System ◽  
Interface Circuit ◽  
Depth Study ◽  
Vibration Drilling

Based on the in-depth study of embedded systems technology and characteristics of the ultrasonic vibration drilling process, the new CNC system for ultrasonic vibration drilling based on ARM and μC / OS-II embedded was proposed in this paper. For this system, the kernel of hardware is the 32 -bit embedded CPU LPC2210 with characteristics of high performance and low power consumption. And it is also equipped with the required peripheral modules to extend itself to one whole hardware system and the interface circuit. Its software is based on μC / OS -II real -time embedded operating system, and the required application software needs to be developed so as to turn μC / OS- II real -time embedded operating system into one practical embedded ultrasonic CNC drilling.

Research of CNC System for Ultrasonic Vibration Internal Grinding Based on Embedded Technology

2011 ◽  
Vol 201-203 ◽  
pp. 2409-2413
Author(s):  
Bang Fu Wang ◽  
Zhen Yin ◽  
Ou Xie
Keyword(s):  
Operating System ◽  
Real Time ◽  
Ultrasonic Vibration ◽  
High Performance ◽  
Embedded Operating System ◽  
Cnc System ◽  
Interface Circuit ◽  
Internal Grinding ◽  
Hardware System ◽  
Depth Study

Based on the in-depth study of embedded systems technology and characteristics of the ultrasonic vibration internal grinding process, the new CNC system for ultrasonic vibration internal grinding based on ARM and μC / OS-II embedded was proposed in this paper. For this system, the kernel of hardware is the 32 -bit embedded CPU LPC2210 with characteristics of high performance and low power consumption. And it is also equipped with the required peripheral modules to extend itself to one whole hardware system and the interface Circuit. Its software is based on μC / OS -II real -time embedded operating system, and the required application software needs to be developed so as to turn μC / OS- II real -time embedded operating system into one practical embedded ultrasonic CNC internal grinding.

A Novel Numerical Control Architecture Based on Multiprocessor and Real-Time Ethernet

2012 ◽  
Vol 155-156 ◽  
pp. 120-124
Author(s):  
Wei Jing Bu
Keyword(s):  
Operating System ◽  
Real Time ◽  
Flexible Manufacturing ◽  
High Performance ◽  
Low Cost ◽  
Numerical Control ◽  
Arm Processor ◽  
Dsp Processors ◽  
System Controller ◽  
Dedicated Processor

The design of the CNC system to realize the function of the dedicated processor/modular is very select. Low cost of the ARM processor with Windows CE operating system is perfect for soft real-time tasks, such as the system state display, program explains, etc. The high performance DSP processors µ C/OS-II operating system is real-time tasks efforts, which is responsible for interpolation, speed control. In addition, to meet demand for the reconstruction of the design and flexible manufacturing, a reconfigurable based on FPGA technology for module, meet the functional requirement, build the PLC based on real-time Ethernet field bus network for simple connections between executors in the numerical control system controller.

Using AI at the Edge and Incremental Machine Learning to Process Onboard Instrument Data

2021 ◽  
Author(s):  
Nicholas Parkyn
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Real Time ◽  
Data Storage ◽  
High Performance ◽  
Heterogeneous Computing ◽  
Low Cost ◽  
Machine Intelligence ◽  
Edge Computing ◽  
Continual Learning

Emerging heterogeneous computing, computing at the edge, machine learning and AI at the edge technology drives approaches and techniques for processing and analysing onboard instrument data in near real-time. The author has used edge computing and neural networks combined with high performance heterogeneous computing platforms to accelerate AI workloads. Heterogeneous computing hardware used is readily available, low cost, delivers impressive AI performance and can run multiple neural networks in parallel. Collecting, processing and machine learning from onboard instruments data in near real-time is not a trivial problem due to data volumes, complexities of data filtering, data storage and continual learning. Little research has been done on continual machine learning which aims at a higher level of machine intelligence through providing the artificial agents with the ability to learn from a non-stationary and never-ending stream of data. The author has applied the concept of continual learning to building a system that continually learns from actual boat performance and refines predictions previously done using static VPP data. The neural networks used are initially trained using the output from traditional VPP software and continue to learn from actual data collected under real sailing conditions. The author will present the system design, AI, and edge computing techniques used and the approaches he has researched for incremental training to realise continual learning.

Low-Cost Receiver and Network Real-Time Kinematic Positioning for use in Connected and Autonomous Vehicles

2019 ◽  
Vol 72 (04) ◽  
pp. 917-930
Author(s):  
Fang-Shii Ning ◽  
Xiaolin Meng ◽  
Yi-Ting Wang
Keyword(s):  
Real Time ◽  
Autonomous Vehicles ◽  
High Performance ◽  
Low Cost ◽  
Satellite System ◽  
High Accuracy ◽  
Future Trend ◽  
Intelligent Transport System ◽  
Positioning System ◽  
Gnss Receiver

Connected and Autonomous Vehicles (CAVs) have been researched extensively for solving traffic issues and for realising the concept of an intelligent transport system. A well-developed positioning system is critical for CAVs to achieve these aims. The system should provide high accuracy, mobility, continuity, flexibility and scalability. However, high-performance equipment is too expensive for the commercial use of CAVs; therefore, the use of a low-cost Global Navigation Satellite System (GNSS) receiver to achieve real-time, high-accuracy and ubiquitous positioning performance will be a future trend. This research used RTKLIB software to develop a low-cost GNSS receiver positioning system and assessed the developed positioning system according to the requirements of CAV applications. Kinematic tests were conducted to evaluate the positioning performance of the low-cost receiver in a CAV driving environment based on the accuracy requirements of CAVs. The results showed that the low-cost receiver satisfied the “Where in Lane” accuracy level (0·5 m) and achieved a similar positioning performance in rural, interurban, urban and motorway areas.

The Research of Electronical Control System Based on OSEK/VDX

2009 ◽  
Vol 16-19 ◽  
pp. 100-104
Author(s):  
Yue Pan ◽  
Jian Chang Liu
Keyword(s):  
Operating System ◽  
Control System ◽  
Open Source ◽  
Real Time ◽  
Embedded Operating System ◽  
Application Development ◽  
Operation System ◽  
Real Time Operating System

The standard of OSEK/VDX which used in the embedded operating system of car was analysized, and based on this, to select the open-source real-time operating system μC/OS-II as a operation system that will be loaded in the control chip. After that the kernel structure of the μC/OS-II was analysized, and modified the kernel of the system in accordance with OSEK/VDX standards, then translated the μC/OS-II system to the LPC2131 development board for the follow-up application development laid the foundation.

scholarly journals Cl�opatre:Open-source Operating System Facilities for Real-Time Embedded Applications

2007 ◽  
Vol 15 (2) ◽  
pp. 131
Author(s):  
Maryline Silly-Chetto ◽  
Thibault Garcia-Fernandez ◽  
Audrey Marchand
Keyword(s):  
Operating System ◽  
Real Time ◽  
Embedded Applications
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