Non-Linear Sensor Measurement Technique Using Ivan Newton Interpolation (INI)
Year: 2025
Type: conference-paper
Abstract: This research is an invention of a non-linear sensor measurement process with a non-linear interpolation technique using a method with the Goen constant equation. This invention is not a linearization technique, so a comparison signal technique is not needed from the output of the non-linear sensor. Therefore, the advantage of this technique without a comparison signal is that it is more responsive. In addition, the costs incurred are cheaper because if the non-linear sensor uses a linearization technique, it will require additional electronic devices to support the use of the comparison signal technique. Two-way non-linear sensor measurements can be done simply using one-way measurement techniques using Ivan Newton Interpolation (INI). There are two non-linear sensor measurement process techniques. The first technique measures conditions outside the sensor that are non-linearly correlated to the sensor's characteristic values. The second technique measures sensor characteristic values non-linearly correlated to the condition values outside the sensor. This second technique can be done indirectly using the trial and error (TE) interpolation technique. The non-linear sensor measurement technique using INI will produce a two-way non-linear correlation between the conditions outside the sensor and the sensor characteristic values. This measurement technique will produce a non-linear correlation, so a comparison technique is unnecessary for the linearization process. The output response results from the non-linear sensor measurement process technique with INI can be more responsive when used as a control sensor. More responsive when compared to non-linear sensors using linearization techniques. This can happen because the linearization technique requires a slope comparison process using a comparison signal first.
Source: Engineering headway
DOI: 10.4028/p-ogg7xf
Author: Stephanus Ivan Goenawan
Institution: Atma Jaya Catholic University of Indonesia
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4407181851