A FPGA-Based Cloud-Edge Collaboration Platform in Cloud Manufacturing

2021 ◽  
Author(s):  
Chuan Xiao ◽  
Chun Zhao ◽  
Yue Liu ◽  
Lin Zhang
Keyword(s):  
Embedded System ◽  
Cloud Manufacturing ◽  
Computing Power ◽  
Edge Node ◽  
Computing Model ◽  
System A ◽  
Task Model ◽  
Time Sensitivity ◽  
System Module ◽  
The Embedded System

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.

scholarly journals Embedded System for Detection, Recognition and Classification of Traffic Signs

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.

scholarly journals Sistem Kendali Jarak Jauh dan Monitoring Penggunaan Listrik pada Pompa Air melalui Smartphone

2020 ◽  
Vol 4 (01) ◽  
pp. 32-39
Author(s):  
Ahmad Fauzi ◽  
Ratna Aisuwarya ◽  
Ratna Aisuwarya
Keyword(s):  
Embedded System ◽  
Mobile Application ◽  
Current Sensor ◽  
Average Error ◽  
Water Pump ◽  
Turn On ◽  
System A ◽  
The Embedded System ◽  
Main Components ◽  
Water Pumps

This study aims to create a control system that can turn on / turn off the water pump by simply pressing a button on the smartphone and monitoring how much electricity was used which will later be converted into cost value in rupiahs. This system is able to further regulate the use of water pumps, such as restrictions on daily use, restrictions on use at certain hours, and pumps can be set to automatically shut down after a few moments of use. This system consists of three main components, namely an embedded system, a website-based mobile application, and a web server. The embedded system consists of Wemos D1, ACS712 current sensor, and relay. From the tests conducted the system can turn on the water pump with an average response time of 2 seconds and the results of monitoring conducted have an average error value of 13.63%.

Design of Remote Control System for Water Saving Irrigation

2014 ◽  
Vol 898 ◽  
pp. 653-656
Author(s):  
Dan Zheng ◽  
Na Xu ◽  
Yao Lang
Keyword(s):  
Embedded System ◽  
Configuration Software ◽  
Time Data ◽  
Remote Communication ◽  
Remote Monitoring System ◽  
The Core ◽  
Remote Control System ◽  
System A ◽  
The Embedded System ◽  
Developing Platform

An introduction to configuration software as the developing platform, using the embedded system technology and wireless communication are combined to establish the remote monitoring system. A branch station of monitoring with DSP as the core acquires, processes and displays real-time data by means of a remote communication of trinity, sending results which have been dealt with to the monitoring center so that users can timely and accurately understand conditions of water requirement in farmlands.

Analysis and Implementation of TrueFFS Based on VxWorks System

2011 ◽  
Vol 411 ◽  
pp. 584-587
Author(s):  
Gai Ning Han ◽  
Yong Feng Li
Keyword(s):  
Embedded System ◽  
Data Access ◽  
Storage Space ◽  
Storage Medium ◽  
Time Data ◽  
System A ◽  
The Embedded System ◽  
Real Time Data Processing ◽  
System Access

In an embedded system, a large amount of high real-time data processing is required. A TrueFFS method on the embedded VxWorks system is put forward to improve the data access speed and saving storage space of the embedded system. In this paper, the TrueFFS structure is analyzed, its establishing process is realized based on VxWorks. As an embedded operating system's main storage medium to build the TrueFFS, flash can improve system access speed and facilitate the upgrade of follow-up procedures.

scholarly journals Multiple Narrowband Interferences Characterization, Detection and Mitigation Using Simplified Welch Algorithm and Notch Filtering

2021 ◽  
Vol 11 (3) ◽  
pp. 1331
Author(s):  
Mohammad Hossein Same ◽  
Gabriel Gleeton ◽  
Gabriel Gandubert ◽  
Preslav Ivanov ◽  
Rene Jr Landry
Keyword(s):  
Power Spectrum ◽  
Embedded System ◽  
Radio Frequency ◽  
Satellite Communication ◽  
Signal To Noise Ratio ◽  
Center Frequency ◽  
Infinite Impulse Response ◽  
Frequency Variation ◽  
Welch Method ◽  
The Embedded System

By increasing the demand for radio frequency (RF) and access of hackers and spoofers to low price hardware and software defined radios (SDR), radio frequency interference (RFI) became a more frequent and serious problem. In order to increase the security of satellite communication (Satcom) and guarantee the quality of service (QoS) of end users, it is crucial to detect the RFI in the desired bandwidth and protect the receiver with a proper mitigation mechanism. Digital narrowband signals are so sensitive into the interference and because of their special power spectrum shape, it is hard to detect and eliminate the RFI from their bandwidth. Thus, a proper detector requires a high precision and smooth estimation of input signal power spectral density (PSD). By utilizing the presented power spectrum by the simplified Welch method, this article proposes a solid and effective algorithm that can find all necessary interference parameters in the frequency domain while targeting practical implantation for the embedded system with minimum complexity. The proposed detector can detect several multi narrowband interferences and estimate their center frequency, bandwidth, power, start, and end of each interference individually. To remove multiple interferences, a chain of several infinite impulse response (IIR) notch filters with multiplexers is proposed. To minimize damage to the original signal, the bandwidth of each notch is adjusted in a way that maximizes the received signal to noise ratio (SNR) by the receiver. Multiple carrier wave interferences (MCWI) is utilized as a jamming attack to the Digital Video Broadcasting-Satellite-Second Generation (DVB-S2) receiver and performance of a new detector and mitigation system is investigated and validated in both simulation and practical tests. Based on the obtained results, the proposed detector can detect a weak power interference down to −25 dB and track a hopping frequency interference with center frequency variation speed up to 3 kHz. Bit error ratio (BER) performance shows 3 dB improvement by utilizing new adaptive mitigation scenario compared to non-adaptive one. Finally, the protected DVB-S2 can receive the data with SNR close to the normal situation while it is under the attack of the MCWI jammer.

scholarly journals The Design of a 2D Graphics Accelerator for Embedded Systems

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 469
Author(s):  
Hyun Woo Oh ◽  
Ji Kwang Kim ◽  
Gwan Beom Hwang ◽  
Seung Eun Lee
Keyword(s):  
Embedded Systems ◽  
Embedded System ◽  
Real Time ◽  
Line Drawing ◽  
Cmos Process ◽  
Embedded Processor ◽  
Processor Core ◽  
Field Programmable ◽  
The Embedded System ◽  
Graphics Processing

Recently, advances in technology have enabled embedded systems to be adopted for a variety of applications. Some of these applications require real-time 2D graphics processing running on limited design specifications such as low power consumption and a small area. In order to satisfy such conditions, including a specific 2D graphics accelerator in the embedded system is an effective method. This method reduces the workload of the processor in the embedded system by exploiting the accelerator. The accelerator assists the system to perform 2D graphics processing in real-time. Therefore, a variety of applications that require 2D graphics processing can be implemented with an embedded processor. In this paper, we present a 2D graphics accelerator for tiny embedded systems. The accelerator includes an optimized line-drawing operation based on Bresenham’s algorithm. The optimized operation enables the accelerator to deal with various kinds of 2D graphics processing and to perform the line-drawing instead of the system processor. Moreover, the accelerator also distributes the workload of the processor core by removing the need for the core to access the frame buffer memory. We measure the performance of the accelerator by implementing the processor, including the accelerator, on a field-programmable gate array (FPGA), and ascertaining the possibility of realization by synthesizing using the 180 nm CMOS process.

Reform of embedded system experiment course based on engineering education accreditation

2020 ◽  
pp. 002072092091815
Author(s):  
Yong Luo ◽  
Shuai-Bing Qin ◽  
Dong-Shu Wang
Keyword(s):  
Education Reform ◽  
Embedded System ◽  
Engineering Education ◽  
Assessment Method ◽  
Teaching Model ◽  
Electronic Information ◽  
Course Content ◽  
Practical Operation ◽  
System Experiment ◽  
The Embedded System

With the continuous development of engineering education accreditation in China, its concept has had a profound impact on the reform of various majors in higher education. Using the idea of engineering education accreditation, this paper discusses the main problems in the implementation of embedded experimental courses of electronic information majors and proposes related education reform programs. Taking the embedded system experiment course of the automation major and embedded system major of Zhengzhou University as examples, the course has carried out research on the aspects of teaching model, experimental course content, scientific assessment method, etc., and proposed corresponding improvement methods to achieve better effect. The practical operation result has proved that the embedded system experiment course of the automation major and embedded system major improved the students’ ability and met the requirements of professional accreditation.

Research on Mass Manufacturing Resource Sensory Data Management Based on Hadoop

2016 ◽  
Vol 693 ◽  
pp. 1880-1885 ◽  
Author(s):  
Kai Kai Su ◽  
Wen Sheng Xu ◽  
Jian Yong Li
Keyword(s):  
Distributed Storage ◽  
Cloud Manufacturing ◽  
Distributed File System ◽  
Service Platform ◽  
Sensory Data ◽  
Computing Model ◽  
Hadoop Distributed File System ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Management Method

Aiming at the management issue of mass sensory data from the manufacturing resources in cloud manufacturing, a management method for mass sensory data based on Hadoop is proposed. Firstly, characteristics of sensory data in cloud manufacturing are analyzed, meanings and advantages of Internet of Things and cloud computing are elaborated. Then the structure of the cloud manufacturing service platform is proposed based on Hadoop, the information model of manufacturing resources in cloud manufacturing is defined, and the data cloud in the cloud manufacturing service platform is designed. The distributed storage of mass sensory data is implemented and a universal distributed computing model of mass sensory data is established based on the characteristics of Hadoop Distributed File System (HDFS).

Structure of an Embedded System Software Platform for Plate Recognition System Based on Applied Mechanics

2012 ◽  
Vol 460 ◽  
pp. 266-270
Author(s):  
Xing Wu Sun ◽  
Yu Chen ◽  
Ai Fei Wang
Keyword(s):  
Embedded System ◽  
Recognition System ◽  
Cmos Camera ◽  
Camera System ◽  
New Thought ◽  
Development Platform ◽  
Embedded Linux System ◽  
Acquisition Device ◽  
The Embedded System ◽  
And Control

According to the shortcomings of large volume and high cost about the plate recognition system, an embedded plate recognition system is developed based on the ARM11 processor at lower costs. Taking the embedded Linux system as the software development platform, the system uses graphical user interface to operate and control the machine. Using CMOS camera system as image acquisition device, the system adopts HSV algorithm to realize the image classification on the platform of the embedded plate recognition system. The experimental results show that the embedded system runs stably, can realize the plate classification by color, and has the advantages of small size, low power consumption, convenience for using and so on. The embedded system provides a new thought for plate recognition.

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