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Wasis Wasis
Brawijaya University
Environmental Science

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Fourier Integral Implementation to Obtain the Velocity Signal and Displacement Signal from Digital Data of MEMS Accelerometer Sensor Wasis Wasis
Natural B, Journal of Health and Environmental Sciences Vol 4, No 3 (2018)
Publisher : Natural B, Journal of Health and Environmental Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1154.454 KB) | DOI: 10.21776/ub.natural-b.2018.004.03.5

Abstract

This paper discusses and implements a simple technique to obtain the velocity and the displacement signals from the digital data of the MEMS accelerometer sensor, which is an acceleration signal. The method used is a numerical integral, i.e. discrete Fourier integral. Technically, the digital signal data from the MEMS accelerometer sensor is converted from time domain to frequency domain by using Discrete Fourier Transform (DFT). In the frequency domain, the acceleration signal component is integrated once to obtain its velocity components, and is integrated twice to obtain its displacement component. Furthermore, Invers Discrete Fourier Transform (IDFT) is performed to obtain the form of velocity and displacement signals in time domain. The application of these theories and methods gives quite good results, especially for low frequency signals recorded at high sampling rates.
Local Fault Line Tracing in Sri Mulyo Village, Dampit Sub District, Malang Regency Based on Geophysical Data Wasis Wasis; Sunaryo Sunaryo; Adi Susilo
Natural B, Journal of Health and Environmental Sciences Vol 1, No 1 (2011)
Publisher : Natural B, Journal of Health and Environmental Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (21.019 KB) | DOI: 10.21776/ub.natural-b.2011.001.01.6

Abstract

A research has been conducted for searching local fault at Sri Mulyo Village, Malang Regency, to get the physical parameters of 3-dimension fault, which include depth, width, length, and direction. The research is based on the preliminary research that results geological data interpretation, gravity, and outcrops.  The survey used resistivity parameter by applying pseudo-depth section configuration (4 electrodes). Data processing and interpretation using inverse method.  By combining every pseudo depth section, 3-dimension physical parameters will be acquired square error is 2.51x10-27.
Co-Authors Adi Susilo Sunaryo Sunaryo