Dual-Channel Measurement System for Real-Time Ethernet

Real-time Ethernet (RTE) is widely used in industrial automation and high performance motion control field. Its minimum cycle time is down to less than 100μs and cycle jitter is less than 1μs, making many existing network and protocol analyzers cant meet the requirements of time accuracy in measurement system for RTE. In this paper, a low-cost and open measurement system is proposed to analyze the time characteristics (cycle time, cycle jitter, end-to-end delay, etc.) and protocol (Ethernet type, length, detailed info, etc.) of real-time Ethernet. The measurement system is consisting of a FPGA-based hardware device and a PC-based monitor station. The hardware device has dual channels that allow detecting two nodes data frame simultaneously. Ethernet data frames through channels are transmitted immediately; at the same time, all data frames will be duplicated and sent to the monitor station with precise timestamp for frame analysis. A prototype of measurement system has been realized to verify feasibility and performance. Result of the experiment shows that the maximal delay time brought in by measuring device is only 120ns and the accuracy of time stamp is down to 5ns; the parser is created in the monitor PC for analysis the time characteristics and protocols of real-time Ethernet.

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

10.5957/smc-2021-048 ◽

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.

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Low-Cost and Real-Time Measurement System for Electrical Energy Measuring of a Smart Microgrid

Smart Cities - Communications in Computer and Information Science ◽

10.1007/978-3-030-69136-3_1 ◽

2021 ◽

pp. 3-16

Author(s):

Oscar Izquierdo-Monge ◽

Paula Peña-Carro ◽

Mariano Martín Martínez ◽

Luis Hernández-Callejo ◽

Oscar Duque-Perez ◽

...

Keyword(s):

Real Time ◽

Measurement System ◽

Low Cost ◽

Electrical Energy ◽

Time Measurement ◽

Real Time Measurement

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Low cost real-time finger flexion strength measurement system

Journal of Physics Conference Series ◽

10.1088/1742-6596/1372/1/012015 ◽

2019 ◽

Vol 1372 ◽

pp. 012015

Author(s):

Yin Qing Tan ◽

Shyh Jeh Hwan ◽

Siow Cheng Chan

Keyword(s):

Real Time ◽

Measurement System ◽

Low Cost ◽

Strength Measurement ◽

Finger Flexion ◽

Flexion Strength

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

Journal of Navigation ◽

10.1017/s037346331800111x ◽

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.

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Design of Temperature Measurement System Based on Microcontroller

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.513-517.4039 ◽

2014 ◽

Vol 513-517 ◽

pp. 4039-4042

Author(s):

Cao Rui ◽

Kong Jun Bao

Keyword(s):

Temperature Measurement ◽

Real Time ◽

Measurement System ◽

Low Cost ◽

Digital Signal ◽

Single Chip ◽

Display Function ◽

Stable Performance ◽

Temperature Measurement System ◽

Digital Temperature Sensor

This temperature measurement system is based on the control of AT89S52 single chip microcontroller, with temperature display function. Temperature information is changed into digital signal directly by a single bus digital temperature sensor DS18B20, and the digital signal is sent into microcontroller for real-time acquisition. The results are displayed through LCD module 1602 in real time. The system is with the characteristics of low cost, high precision, stable performance and convenient operation. The system can be extended to multi-point temperature detecting system easily, and adding temperature transfinite alarm function.

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Development of a Measuring Sensory System Based on LabVIEW for Determining Elastic Proprieties of Solid Materials

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v6i5.pp2096-2105 ◽

2016 ◽

Vol 6 (5) ◽

pp. 2096

Author(s):

Zakaryae Ezzouine ◽

Abdelrhani Nakheli

Keyword(s):

Tensile Test ◽

Real Time ◽

Low Cost ◽

Sensory System ◽

Test System ◽

Model Parameters ◽

Time Data ◽

Solid Materials ◽

Measuring Device ◽

Deformation Curves

<p>This article develops also a measure and prototype to allow the acquisition of real time data for display, analysis, control and storage with a proposed test program for determining the model parameters. The aim is to be able to measure, and apply moment to a specimen, and collect data from the resulting deformation in the material. At the same time, the reliability of this test system has been proved by precision analysis and data processing for a simple test validation (metal wire). The force-deformation curves of solids materials in this tensile test are measured accurately in real time, to obtain the values of solid materials mechanical property parameters, The minimal change in length of the test Specimen that can be resolved by this system is 1µm, which yields the sensitivity comprised between 10-4µm and 10-5 µm. Based on the experience that compressive tensile test have the smallest statistical scatter and that they are simplest to carry out. The measuring device can improve the measuring efficiency and accuracy distinctly while has advantages of simple configuration, low cost and high stability.</p>

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Multiple Compact Camera Fluorescence Detector for Real-Time PCR Devices

Sensors ◽

10.3390/s21217013 ◽

2021 ◽

Vol 21 (21) ◽

pp. 7013

Author(s):

Seul-Bit-Na Koo ◽

Hyeon-Gyu Chi ◽

Jong-Dae Kim ◽

Yu-Seop Kim ◽

Ji-Sung Park ◽

...

Keyword(s):

Real Time ◽

Real Time Pcr ◽

High Performance ◽

Signal To Noise Ratio ◽

Low Cost ◽

Optical Element ◽

Dna Amplification ◽

Biological Research ◽

Fluorescence Detector ◽

Fluorescence Excitation

The polymerase chain reaction is an important technique in biological research because it tests for diseases with a small amount of DNA. However, this process is time consuming and can lead to sample contamination. Recently, real-time PCR techniques have emerged which make it possible to monitor the amplification process for each cycle in real time. Existing camera-based systems that measure fluorescence after DNA amplification simultaneously process fluorescence excitation and emission for dozens of tubes. Therefore, there is a limit to the size, cost, and assembly of the optical element. In recent years, imaging devices for high-performance, open platforms have benefitted from significant innovations. In this paper, we propose a fluorescence detector for real-time PCR devices using an open platform camera. This system can reduce the cost, and can be miniaturized. To simplify the optical system, four low-cost, compact cameras were used. In addition, the field of view of the entire tube was minimized by dividing it into quadrants. An effective image processing method was used to compensate for the reduction in the signal-to-noise ratio. Using a reference fluorescence material, it was confirmed that the proposed system enables stable fluorescence detection according to the amount of DNA.

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Low-cost wearable measurement system for continuous real-time pedobarography

2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings ◽

10.1109/memea.2015.7145281 ◽

2015 ◽

Cited By ~ 4

Author(s):

Simone Corbellini ◽

Chiara Ramella ◽

Carmelo Fallauto ◽

Marco Pirola ◽

Stefano Stassi ◽

...

Keyword(s):

Real Time ◽

Measurement System ◽

Low Cost

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HILS for the Design of Three-Wheeled Mobile Platform Motion Surveillance System with a Use of Energy Performance Index

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.198.90 ◽

2013 ◽

Vol 198 ◽

pp. 90-95 ◽

Cited By ~ 3

Author(s):

Krzysztof J. Kaliński ◽

Cezary Buchholz

Keyword(s):

System Design ◽

Real Time ◽

Performance Index ◽

Surveillance System ◽

High Performance ◽

Low Cost ◽

Energy Performance ◽

Mobile Platform ◽

Test Configuration ◽

Control Command

Current tendency in mechatronic design requires the use of comprehensive development of an environment, which gives the possibility to prototype, design, simulate and integrate with dedicated hardware. The paper discusses the Hardware-In-the-Loop Simulations (HILS) mechatronic technique [, used during the design of the surveillance system based on energy performance index [. The presented test configuration (physical controller emulated virtual research object) allows authors to verify responses (in the LabVIEW [) of the mobile platform model, to the optimal control commands (torques), generated by the Real Time controller. Defined energy performance index, supported by the correction velocities, controls the emulated platform while moving along three different trajectories. The demonstrated test results are compared with desired values obtained during numerical computation process of kinematic and dynamic equations of the presented model. The authors investigation of the HILS affected final optimisation of the motion surveillance system design. Real time requirements enforced authors to decrease sampling time of control command (signal generation frequency) and establish high performance execution strategy for on-line algorithm (algorithm execution performed both in Real Time processor and in the FPGA - Field Programmable Gate Array) [. The performed simulations confirmed that the HILS is a powerful technique, which improves system design making that more efficient and low cost consuming.

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