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All Journal Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Journal Of Artificial Intelligence And Software Engineering
Ahendyarti, Ceri
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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A Picofarad Capacitance Meter Based on Phase-Sensitive Demodulation for Tomography Application Alfanz, Rocky; Hamzah, Hamzah; Firmansyah, Teguh; Saraswati, Irma; Ahendyarti, Ceri; Rohmadi, Rohmadi; Muttakin, Imamul
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 4, No 2 (2023)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v4i2.89134

Abstract

Electrical capacitance volume tomography (ECVT) is an imaging technique based on the object’s capacitance value. To provide a representative image of the object under study, the ECVT system requires a method that can measure the capacitance value in the order of picofarads (pF). This level of resolution poses a difficulty for typical commercial capacitance measuring devices, hence raising the need for a specialized method with dedicated signal conditioning circuitry. The capacitance meter based on phase-sensitive demodulation (PSD) is made to solve the aforementioned issue and it is then compared with the characteristics of a capacitance meter-based commercial Arduino setup. The designed PSD-based capacitance measuring device has 97.894% accuracy, precision of 0.704 pF, sensitivity of 0.1197 V/pF, linearity with a coefficient of determination 0.9983, and stability of 0.028 pF/min. In comparison, the capacitance meter based on Arduino has 97.943% accuracy, precision of 0.027 pF, linearity with a coefficient of determination 0.9999, and stability of 0.04 pF/min. Testing is done on an 8-electrode ECVT sensor using dielectric materials of air and water. The nearest electrode pair on the condition of air as the dielectric medium has a capacitance value of 2.62218 pF for PSD-based measuring devices and 3.4027 pF for Arduino-based measuring devices, while the pair of electrodes on the condition of water as a dielectric medium has a capacitance value 9.8229 pF for measuring device based on PSD and 9.1069 pF for Arduino-based measuring devices. The opposite and farthest electrode pair on the condition of air as a dielectric medium has a capacitance value of 0 pF for PSD-based measuring devices and 0,0798pF for Arduino-based measuring devices, while the pair of electrodes on the condition of water as a dielectric medium has a capacitance value of 4.652 pF for PSD-based measuring devices and 0.1224 pF for Arduino-based measuring devices.
Edge Implementation of Vehicle Plate Identification using Haar Classifier and Convolutional Neural Networks Wibowo, Risky Ari; Muhammad, Fadil; Ahendyarti, Ceri; Alimuddin, Alimuddin; Muttakin, Imamul
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): Juni On-Progress
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6570

Abstract

The increase in vehicle ownership every year causes a lack of information monitoring on each vehicle. As one of the methods used to find vehicle information, recognizing each number plate is a solution for recognizing vehicles. Utilizing object detection techniques using computer vision in recognizing vehicle number plates can simplify the plate recognition process. The process of identifying and classifying the characters on the plates is conducted simultaneously with a simple implementation which is a benefit of using computer vision in recognizing vehicle plates. The use of the Haar cascade classifier algorithm in this research overcomes the problem of plate detection combined with the Convolutional Neural Networks (CNN) to conduct Optical Character Recognition (OCR) on vehicle plates. The results of vehicle plate recognition in-situ experiments in four real-time tests obtained an average accuracy value of 42.67%.
Co-Authors Hamzah Hamzah Imamul Muttakin Irma Saraswati Muhammad, Fadil Rocky Alfanz, Rocky Rohmadi Rohmadi Teguh Firmansyah Wibowo, Risky Ari