Embedded System Architectures

1999 ◽  
pp. 1-43 ◽  
Author(s):  
Rolf Ernst
Keyword(s):  
Embedded System ◽  
System Architectures

Hardware Implementation of a Neuro-Fuzzy Controller Using High Level Synthesis Tool

MACRo 2015 ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 183-191 ◽  
Author(s):  
Tibor Tămas ◽  
Sándor Tihamér Brassai
Keyword(s):  
Embedded System ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Design Flow ◽  
High Level Synthesis ◽  
Ip Core ◽  
Inference System ◽  
System Architectures ◽  
Neuro Fuzzy ◽  
High Level

AbstractThe purpose of this work is to present the design flow and the implementation of a neuro-fuzzy controller Intellectual Property (IP) core, using High Level Synthesis (HLS) tool. The realized IP core is designed for FPGA based embedded system architectures. The implemented control algorithm is a Sugeno model based Adaptive Neuro-Fuzzy Inference System (ANFIS). The optimization possibilities using the HLS tool and the designing of the interfaces for the IP core are presented.

scholarly journals Evaluation of parking space detection systems using wireless cameras

2015 ◽  
Author(s):  
David Lima ◽  
Eliana Almeida ◽  
Andre Aquino
Keyword(s):  
Embedded System ◽  
Distributed Processing ◽  
Parking Space ◽  
Concurrent System ◽  
System Architectures ◽  
Detection Systems ◽  
Parking Space Detection ◽  
Radius Size ◽  
Better Than

This work presents a deep analysis of na embedded system to detect free on-street parking slots by using wireless cameras. To allow distributed processing and the communication, intelligent boards were embedded in the cameras. Three different system architectures are considered: sentralized, hybrid and embedded. Each architeture was simulated considering the variation of the communications radius size, the amount of cameras and the amount of concurrent system queries. The results of simulation revealed that the performance of embedded proposal is better than the hybrid one in all scenarios. Additionaly, the embedded proposal was evaluated considering eventual cameras failure. It was observed that these failures influence directly the answer time of system.

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