Continuous and Real-Time Data Acquisition Embedded System for EAST

Li, S; Luo, Junhua; Wu, Yicheng; Li, Guiming M; Wang, Feng; Yong, Wang

doi:10.1109/tns.2010.2041251

Cited by 28 publications

(7 citation statements)

References 3 publications

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“…There are some DAQ systems with double-buffering techniques running an ARM processor in parallel with a field-programmable gate array (FPGA) in order to take samples and process them as the work of Li et al [24]. However we use the same device to take samples and process them.…”

Section: Data Acquisition Processesmentioning

confidence: 99%

Continuous energy consumption measure approach using a DMA double-buffering technique

Vaquerizo-Hdez

Muñoz

Barrero

et al. 2021

J Wireless Com Network

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Measuring the consumption of electronic devices is a difficult and sensitive task. Data acquisition (DAQ) systems are often used to determine such consumption. In theory, measuring energy consumption is straight forward, just by acquiring current and voltage signals we can determine the consumption. However, a number of issues arise when a fine analysis is required. The main problem is that sampling frequencies have to be high enough to detect variations in the assessed signals over time. In that regard, some popular DAQ systems are based on RISC ARM processors for microcontrollers combined with analog-to-digital converters to meet high-frequency acquisition requirements. The efficient use of direct memory access (DMA) modules combined with pipelined processing in a microcontroller allows to improve the sample rate overcoming the processing time and the internal communication protocol limitations. This paper presents a novel approach for high-frequency energy measurement composed of a DMA rate improvement (data acquisition logic), a data processing logic and a low-cost hardware. The contribution of the paper is the combination of a double-buffered signal acquisition mechanism and an algorithm that computes the device’s energy consumption using parallel data processing. The combination of these elements enables a high-frequency (continuous) energy consumption measurement of an electronic device, improving the accuracy and reducing the cost of existing systems. We have validated our approach by measuring the energy consumed by elemental circuits and wireless sensors networks (WSNs) motes. The results indicate that the energy measurement error is less than 5% and that the proposed method is suitable to measure WSN motes even during sleep cycles, enabling a better characterization of their consumption profile.

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Section: Data Acquisition Processesmentioning

confidence: 99%

Continuous energy consumption measure approach using a DMA double-buffering technique

Vaquerizo-Hdez

Muñoz

Barrero

et al. 2021

J Wireless Com Network

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“…In the red cluster, we find FPGAs' applications focused in real-time implementations, such as data acquisition [565,[1473][1474][1475], simulations [1022,1024,1082,1476], Neural Netw. [1477][1478][1479] and image processing [1480][1481][1482][1483][1484][1485][1486][1487].…”

Section: Applications Mappingmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

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“…Paper currency sorting subsystem is chiefly used for the acquisition and digitization of information. Management and control subsystem is chiefly responsible for the real-time data-acquisition management and control of the sorters [10]- [13]. The two parts can maintain real-time communication through data lines.…”

Section: System Architecturementioning

confidence: 99%