TY  - JOUR
ID  - scholars17411
KW  - Costs; Data mining; Field programmable gate arrays (FPGA); Integrated circuit design; Interface states; Internet of things
KW  -  Data integrity; Data-logging; High Speed; Low-costs; Microsd; Output signal; Performance; SPI interfaces; State-machine; Verilog HDL
KW  -  Digital signal processing
N2  - Data logging is an important process for evaluating the functionality and performance of many electronic systems such as internet of things (IoT). Most of the mixed-signal systems digitize the signals from the sensors to generate input signals and then perform some digital signal processing on these input signals to generate output signals. Data logging of these input and output signals helps to evaluate the performance of the systems. Many of these systems contain an FPGA for digital signal processing. The FPGA can also be used to facilitate data logging. This paper presents a data logging and data extraction system which is a high capacity, low cost and ensures data integrity over gigabytes of the data. The system has been evaluated by logging data in a system, having four inputs and one output signal each having a sampling rate of 1 kHz, for five hours. Data integrity has been observed for each sample of the data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Y1  - 2022///
VL  - 758
A1  - Sajjad, M.
A1  - Yusoff, M.Z.
A1  - Ahmad, J.
JF  - Lecture Notes in Electrical Engineering
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142692490&doi=10.1007%2f978-981-16-2183-3_63&partnerID=40&md5=22bbe9e786ef8a250a0dbe09ca66e0e2
AV  - none
TI  - Design of a Low-Cost High-Speed and Large-Capacity Data Logger Using MicroSD Card
SP  - 651
N1  - cited By 0; Conference of 1st International Conference on Artificial Intelligence for Smart Community, AISC 2020 ; Conference Date: 17 December 2020 Through 18 December 2020; Conference Code:286319
PB  - Springer Science and Business Media Deutschland GmbH
SN  - 18761100
EP  - 657
ER  -