Study and Design of Smart Embedded System for Aviation System: A Review

Abstract To address the issue that many devices are connected to the cloud during the manufacturing process, which causes severe delays in analyzing massive manufacturing data in the cloud, an FPGA-based architecture of cloud edge collaboration is proposed. In this architecture, manufacturing equipment is connected to the cloud through an FPGA-based embedded edge node. The device data obtained by the edge node is processed by the FPGA module and the embedded system module according to the time-sensitivity. Considering the limited computing power of a single edge node, to realize cloud-edge collaborative computing, a communication-oriented task model and a computing model for edge nodes are designed. The task model learns cloud to edge and edge-edge communication, and the task model realizes the function of migrating computing tasks to other nodes. The edge node system’s design is realized based on the communication-oriented task model and the computing model for edge nodes. The cloud edge collaboration method is researched and explored based on this system. A series of comparative experiments, comparing the time delay of the FPGA module and embedded system module processing the same data, the framework’s usability and data processing ability can be verified.

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A Novel Control Strategy for Multiple Switches Based on Electro-Rheological Fluid

Advanced Engineering Forum ◽

10.4028/www.scientific.net/aef.4.95 ◽

2012 ◽

Vol 4 ◽

pp. 95-100 ◽

Cited By ~ 1

Author(s):

Lu Ning Xu ◽

Han Li ◽

Jun Biao Liu

Keyword(s):

Embedded System ◽

Control Strategy ◽

System Application ◽

Blind People ◽

System A ◽

Novel Method ◽

Electronic Parts

A compact or portable mechatronic embedded system application has a strictly demands of volume and/or power consuming. Comparing with electronic parts, switches and/or actuators take the most proportion of volume or weight and power consuming of the whole system. A novel method of connecting multiple switches/actuators built by using electro-rheological fluid and a pair of governing electrodes and their control strategy are introduced in this paper. By using this method, the numbers of control components are changed from N times M to N plus M, the volume and weight reduced largely.A series structure is used in the application on multi-line Braille electro-book for blind people as a demonstration of this novel method. It provides a novel solution of shrinking system for a compact or portable mechatronic embedded system application.

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Non-Invasive Method for In-Service Induction Motor Efficiency Estimation Based on Sound Acquisition

Applied Sciences ◽

10.3390/app10113757 ◽

2020 ◽

Vol 10 (11) ◽

pp. 3757

Author(s):

Júlio César da Silva ◽

Thyago Leite de Vasconcelos Lima ◽

José Anselmo de Lucena Júnior ◽

Gabriela Jordão Lyra ◽

Filipe Vidal Souto ◽

...

Keyword(s):

Embedded System ◽

Motor Speed ◽

Monitoring Methods ◽

Increase Energy Efficiency ◽

Non Invasive ◽

System A ◽

Motor Efficiency ◽

Efficiency Estimation ◽

Invasive Method ◽

The Fourier Transform

Induction motors (IMs) are present in practically all production processes and account for two-thirds of the energy consumption in industrial settings. Therefore, monitoring them is essential to prevent accidents, optimize production, and increase energy efficiency. Monitoring methods found in the literature require a certain level of invasiveness, causing some applications to be unfeasible. In the present study, a new completely non-invasive method implemented in an embedded system performs the embedded processing of the sound signal emitted by an in-service IM to estimate speed, torque, and efficiency. Motor speed is estimated from the analysis in the frequency domain using the Fourier Transform. Torque and efficiency are estimated from the speed and motor nameplate information. To perform the tests and validate the proposed method/system, a workbench with a controllable torque was used. The workbench was also equipped to allow the results to be compared with the airgap torque method. The results indicate a high accuracy for the nominal load (error of approximately 1%) in the measurement of the efficiency and torque, and a mean relative error of 0.2% for the speed.

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Accounting System: A Fine-Grained CPU Resource Protection Mechanism for Embedded System

Ninth IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC'06) ◽

10.1109/isorc.2006.14 ◽

2006 ◽

Cited By ~ 8

Author(s):

M. Sugaya ◽

S. Oikawa ◽

T. Nakajima

Keyword(s):

Embedded System ◽

Accounting System ◽

Protection Mechanism ◽

Fine Grained ◽

System A ◽

Resource Protection

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Influence of Network Constraints on Modeling and Analysis of Cyber-Physical Systems

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Solutions for Cyber-Physical Systems Ubiquity ◽

10.4018/978-1-5225-2845-6.ch003 ◽

2018 ◽

pp. 52-84 ◽

Cited By ~ 1

Author(s):

Stephanie Grubmüller ◽

Georg Stettinger ◽

Martin Benedikt ◽

Daniel Watzenig

Keyword(s):

Embedded System ◽

Physical System ◽

Networked Control Systems ◽

Feedback System ◽

Global Network ◽

Specific Class ◽

Modeling And Analysis ◽

System A ◽

Main Challenge ◽

And Control

A cyber-physical system (CPS) is a composition of an embedded computer, a network and a physical process. Usually, the plant, which represents the physical part, is controlled by an embedded system, which consists of computation, communication and control elements, via the global network. This contribution focuses on networked control systems (NCSs) which represents a specific class of CPS. As the problems of CPSs and NCSs are quite similar the goal is to transfer well developed techniques of NCSs to CPSs for analysis purposes. NCSs deal with the analysis of the interaction between the physical system and the cyber system. A main challenge of a control engineer is the development of stable and robust controllers for a NCS. The same goal is present in the design of CPS. To ensure this goal the analysis of such a feedback system has to be performed which is not straight forward and limited by the used modeling approach. This work compares different state-of-the-art modeling approaches for NCSs and stability analysis methods therefore.

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Embedded System for Detection, Recognition and Classification of Traffic Signs

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.705.343 ◽

2013 ◽

Vol 705 ◽

pp. 343-351

Author(s):

Diogo Veríssimo Correia ◽

Pedro Dinis Gaspar

Keyword(s):

Embedded System ◽

Recognition Rate ◽

Experimental Tests ◽

Traffic Signs ◽

The Road ◽

System A ◽

Static Images ◽

The Embedded System ◽

Arm7 Processor ◽

Computational Resources

This study concerns the development of an embedded system with low computational resources and low power consumption. It uses the NXP LPC2106 with ARM7 processor architecture, for acquiring, processing and classifying images. This embedded system is design to detect and recognize traffic signs. Taking into account the processor capabilities and the desired features for the embedded system, a set of algorithms was developed that require low computational resources and memory. These features were accomplished using a modified Freeman Method in conjunction with a new algorithm "ear pull" proposed in this work. Each of these algorithms was tested with static images, using code developed for MATLAB and for the CMUcam3. The road environment was simulated and experimental tests were performed to measure traffic signs recognition rate on real environment. The technical limitations imposed by the embedded system led to an increased complexity of the project, however the final results provide a recognition rate of 77% on road tests. Thus, the embedded system features overcome the initial expectations and highlight the potentialities of both algorithms that were developed.

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Application of uCOS-II and LabVIEW in Stirling Engine Fuel Supply Control System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.143-144.381 ◽

2011 ◽

Vol 143-144 ◽

pp. 381-385 ◽

Cited By ~ 1

Author(s):

Jian Xin Liu ◽

Kai Bin Zhao ◽

Hui Yong Du ◽

Min Li ◽

Zhan Cheng Wang

Keyword(s):

Control System ◽

Embedded System ◽

Multilayer Structure ◽

Control Program ◽

Stirling Engine ◽

Engine Fuel ◽

Fuel Supply ◽

System A ◽

Electric Control ◽

Upper Computer

The application of uCOS-II and LabVIEW in the development of Stirling Engine fuel supply electric control system was described in this paper. In embedded system, a control program with multilayer structure was designed based on uCOS-II. In upper computer, a LabVIEW virtual instruments IDE was used to achieve features such as remote control, identify series number automatically, display and record signal in real-time. The operation of the whole control system was proved precisely and stability through experiment.

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Research on Hardware-Software Partitioning Method for Dynamically Reconfigurable Embedded System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.198-199.606 ◽

2012 ◽

Vol 198-199 ◽

pp. 606-610

Author(s):

Xin Zhao ◽

Lan Ying Li ◽

Ming Gao

Keyword(s):

Embedded System ◽

System Model ◽

Ant Algorithm ◽

Task Graph ◽

List Scheduling ◽

Dynamically Reconfigurable ◽

System A ◽

Application Model ◽

Reconfigurable System ◽

Software Partitioning

According to the need of reconfigurable system’s designing, this paper presents a method applied to hardware-software partitioning for dynamically reconfigurable embedded system. A model of dynamically reconfigurable embedded system is built to describe its task; then a merging algorithm of genetic algorithm and ant algorithm is adopt to get results of hardware-software partitioning, according to the system model given and application model described by task graph. Priority-based list scheduling and Configuration-prefetching strategy are used to evaluate these results. Experimental results show that the algorithm in this paper could map the task graphs to reconfigurable system efficiently both in time and space, and have higher performance compared with other algorithms.

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A Neural Network Based Strategy (NNBS) for Automated Construction of Test Cases for Testing an Embedded System using Combinatorial Techniques

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i1.3.9271 ◽

2017 ◽

Vol 7 (1.3) ◽

pp. 74

Author(s):

Lakshmi Prasad Mudarakola ◽

J. K. R. Sastry

Keyword(s):

Neural Network ◽

Embedded Systems ◽

Embedded System ◽

Test Case ◽

Test Cases ◽

Paper Test ◽

Testing Tools ◽

System A ◽

The Neural Network ◽

Important Concern

Testing an embedded system is required to locate bugs in software, diminish risk, development, repairs costs and to improve performance for both users and the company. Embedded software testing tools are useful for catching defects during unit, integration and system testing. Embedded systems in many cases must be optimized by engaging crucial areas of the embedded systems considering all factors of the input domain. The most important concern is to build a place of test cases depend on design of the requirements that can recognize more number of faults at a least rate and point in time in the major sections of an embedded system. This paper proposes a Neural Network Based strategy (NNBS) to generate optimized test cases based on the considerations of the system. A tool called NNTCG (Neural Network Test Case Generator) has been build up based on the method proposed in this paper. Test cases are generated for testing an embedded system using NNTCG and the same are used to determine the expected output through the neural network and the output generated from the actual firmware. The faulty paths within the firmware are determined when the output generated by the neural network is not same as the output generated by the firmware.

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