The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm
The Sharp GP2Y0A02YK0F is categorized as a nonlinear sensor for distance measurement. This sensor is also categorized as a low-cost sensor. The higher resolution, cheap, high accuracy and easy to install are the advantages. The accuracy level of this sensor depends on the type of the measured object...
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| Format: | Article |
| Language: | Indonesian |
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LPPM Institut Teknologi Telkom Purwokerto
2021-08-01
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| Series: | Jurnal Infotel |
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| Online Access: | https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/678 |
| _version_ | 1798022179613310976 |
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| author | Gutama Indra Gandha |
| author_facet | Gutama Indra Gandha |
| author_sort | Gutama Indra Gandha |
| collection | DOAJ |
| description | The Sharp GP2Y0A02YK0F is categorized as a nonlinear sensor for distance measurement. This sensor is also categorized as a low-cost sensor. The higher resolution, cheap, high accuracy and easy to install are the advantages. The accuracy level of this sensor depends on the type of the measured object materials, requires an additional device unit and further processing is required since the output is non-linear. The distance determination is not easy for this type of sensor since the characteristic of this sensor fulfills non-injective function. The modelling process is one of methods to convert the output voltage of the sensor to a distance unit. The advantages of polynomial modelling are simple form model, moderate in flexibilities of shape, well known and understood properties, and easy to use for computational matters. The obstacle of polynomial-based modelling is the presence of Runge’s phenomenon. The minimization of Runge’s phenomenon can be done with decreasing the model order. The piecewise Newton polynomials with vertex determination method have been succeeded to generate a nonlinear model and minimize the occurrence of Runge’s phenomenon. The low level of MSE by 0.001 and error percentage of 2.38% has been obtained for the generated model. The low MSE level leads to the high accuracy level of the generated model. |
| first_indexed | 2024-04-11T17:25:38Z |
| format | Article |
| id | doaj.art-606d04dde64b47d8b3fc4d1a45a404dc |
| institution | Directory Open Access Journal |
| issn | 2085-3688 2460-0997 |
| language | Indonesian |
| last_indexed | 2024-04-11T17:25:38Z |
| publishDate | 2021-08-01 |
| publisher | LPPM Institut Teknologi Telkom Purwokerto |
| record_format | Article |
| series | Jurnal Infotel |
| spelling | doaj.art-606d04dde64b47d8b3fc4d1a45a404dc2022-12-22T04:12:20ZindLPPM Institut Teknologi Telkom PurwokertoJurnal Infotel2085-36882460-09972021-08-0113316016610.20895/infotel.v13i3.678678The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithmGutama Indra Gandha0Universitas Dian NuswantoroThe Sharp GP2Y0A02YK0F is categorized as a nonlinear sensor for distance measurement. This sensor is also categorized as a low-cost sensor. The higher resolution, cheap, high accuracy and easy to install are the advantages. The accuracy level of this sensor depends on the type of the measured object materials, requires an additional device unit and further processing is required since the output is non-linear. The distance determination is not easy for this type of sensor since the characteristic of this sensor fulfills non-injective function. The modelling process is one of methods to convert the output voltage of the sensor to a distance unit. The advantages of polynomial modelling are simple form model, moderate in flexibilities of shape, well known and understood properties, and easy to use for computational matters. The obstacle of polynomial-based modelling is the presence of Runge’s phenomenon. The minimization of Runge’s phenomenon can be done with decreasing the model order. The piecewise Newton polynomials with vertex determination method have been succeeded to generate a nonlinear model and minimize the occurrence of Runge’s phenomenon. The low level of MSE by 0.001 and error percentage of 2.38% has been obtained for the generated model. The low MSE level leads to the high accuracy level of the generated model.https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/678newton polynomialsnonlinear sensorvertexinfrared sensor |
| spellingShingle | Gutama Indra Gandha The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm Jurnal Infotel newton polynomials nonlinear sensor vertex infrared sensor |
| title | The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm |
| title_full | The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm |
| title_fullStr | The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm |
| title_full_unstemmed | The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm |
| title_short | The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm |
| title_sort | modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm |
| topic | newton polynomials nonlinear sensor vertex infrared sensor |
| url | https://ejournal.st3telkom.ac.id/index.php/infotel/article/view/678 |
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