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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) MEDIA ELEKTRIKA Elkom: Jurnal Elektronika dan Komputer Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROSIDING CSGTEIS 2013 Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer JUITA : Jurnal Informatika Majalah Ilmiah MOMENTUM JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Electrical Technology UMY RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Rekayasa elektrika International Journal of Information Engineering and Science International Journal of Electrical Engineering, Mathematics and Computer Science International Journal of Mechanical, Electrical and Civil Engineering Green Engineering: Journal of Engineering and Applied Science RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi
Sri Arttini Dwi Prasetyawati
Universitas Islam Sulta Agung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mathematics Mechanical Engineering Social Sciences

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Journal : International Journal of Electrical and Computer Engineering

 1 
Multiple Processes for Least Mean Square Adaptive Algorithm on Roadway Noise Cancelling Sri Arttini Dwi Prasetyowati; Adhi Susanto
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 2: April 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (295.179 KB) | DOI: 10.11591/ijece.v5i2.pp355-360

Abstract

Noise is a problem often found in daily life. Noise also make people could not concentrate to do their work. Efforts to reduce noise have been proposed, but, due to variety of the noise’s characteristics, every noise problem requires different solution. This research aim to cancel  the vehicle’s noise while maintaining the information heard. These conditions happened in the hospitals classrooms, or work room near the roadway. The vehicle’s noise change very fast, so the adaptive system is the good solution candidate for solving this problem. On the beginning, the simulation process had the trouble with the iterations. Matlab software only can execute the certain range of iteration. It could not cancel the noise, even the information becomes criptic. The problem is how to cancell the vehicle’s noise with the restriction software and still manage the important information. This research will modify the LMS adaptive algorithm so that the iteration could be done by the system and the main goal of the research could be reached. The modification of the algorithm is based on the filter length (L) used to adapt with the noise. Therefore, this research conducted simulation of the Adaptive Noise Cancelling with two process steps. The output of the first adaptive process have the.same characteristics with the noise that would be cancelled, thus the first adaptive process have the error near to zero.  The second adaptive process changes the input by the output of the first process and mix the information into the noise. Error occured in the final process is the information heard as the dominant output.
Neural network training for serial multisensor of autonomous vehicle system Eka Nuryanto Budisusila; Sri Arttini Dwi Prasetyowati; Bhakti Yudho Suprapto; Zainuddin Nawawi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5415-5426

Abstract

This study aims to find the best artificial neural network weight values to be applied to the autonomous vehicle system with ultrasonic multisensor. The implementation of neural network in the system required long time process due to its training process. Therefore, this research is using offline training before implementing to online training by embedding the best network weight values to obtain the outputs faster according to desired targets. Simulink were used to train the system offline. Eight ultrasonic sensors are used on all sides of the vehicle and arranged in a serial multisensory configuration as inputs of neural network. With eight inputs, one sixteen-depth hidden layer, and five outputs, it was trained using the back-propagation algorithm of artificial neural network. By 100000 iterations, the output values and the target values are almost the same, indicating its convergency with minimum of errors. The result of this training is the best weights of the networks. These weight values can be implemented as fixed-weight in online training.
Co-Authors ., Gunawan Abdul Basit Achmad Sulchan Adhi Susanto Adhi Susanto Agung Satrio Nugroho Agus Adhi Nugroho Agus Adhi Nugroho Akhmad Syakhroni Alfano Endra Wardhana Ari Wibowo Arief Marwanto Aries Budiyono Ary Sulistyo Utomo Aulia, Muhammad Rifky Badieah Assegaf Bahrun Niam Bhakti Yudho Suprapto Bima Sekti Wibawanto Budiyono, Aries Bustanul Arifin Bustanul Arifin BUSTANUL ARIFIN Darso D Deris Stiawan Diah Arie WK Eka Nuryanto Budi Susila Erwanto, Danang Fajar Yumono Floris Boogaard Gunawan . Hapsari, Jenny Putri Ida Widihastuti Ilham M Rusdiyanto Imam Much Ibnu Subroto Imam Rachmat Widodo Indra Ava Dianta Iqbal Sobri Bagasghani Ismail, Munaf Jati, Budi Pramono Jenny Putri Hapsari La Ode Muhamad Idris Luh Putu Ratna Sundari Luqman Assaffat Mohammad Ilham Adi Saputra Muhamad Haddin Muhammad Kevin Hardiansyah Muhammad Khoirun Faza Muhammad Khosyi'in Muhammad Khosyi’in Muhammad Rifky Aulia Munaf Ismail Munaf Ismail Munawar A Riyadi Pranoto Wibowo Raditya Rahmat Wijaya Rieska Ernawati Riyadi, Munawar A Sauqie Fairoozy Firdaus Slamet Imam Wahyudi Sobri Bagasghani, Iqbal Suhartono Suhartono Suryani Alifah Syakhroni, Akhmad Tole Sutikno Widihastuti, Ida Zainuddin Nawawi