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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal INKOM Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Midriem Mirdanies
Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences, Komp. LIPI Bandung, Jl. Sangkuriang, Gd. 20. Lt. 2, Bandung 40135
Aerospace Engineering Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Jurnal INKOM

 1 
Optimization of Robot Telemonitoring System Software using multi-thread method Mirdanies, Midriem
INKOM Journal Vol 11, No 1 (2017)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (872.988 KB) | DOI: 10.14203/j.inkom.550

Abstract

The processor development today is on multi-core and multi-processor which can be used to a speedup of data processing time compared with one processor core only. One of the main ways that can be used to speed up the data processing time is by using multi-thread. Multi-thread method has been implemented on the robot telemonitoring system based a Graphical User Interface (GUI) which has been developed in Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences (LIPI). A part that requires high processing time at the telemonitoring systems are the display of real-time thermal cameras and color camera along with tracking algorithm used, it can be seen from the thermal camera display which less smooth. Two threads have been added to process each of the cameras separately. C programming language, with the opencv library and the Integrated Development Environment (IDE) Qt Creator has been used to implement this method into an application program. Based on experiments, it can be seen that both of the camera display with tracking algorithm used can run more quickly, it is demonstrated with the smooth display and the processing time is faster than a sequential program. The processing time based cpu time in sequential program both on color camera and thermal camera is 6 fps, while in multi-thread program (with added two threads), the processing time is 6 fps for color cameras and thermal camera is become 7 fps. The processing time based wall clock time in the sequential program on color camera and thermal camera is 6.31579 fps, while in multi-thread program (with added two threads), the processing time is 6.31579 fps for color cameras and thermal camera becomes 7.5 fps. The speedup and efficiency obtained between the sequential program and with added two threads are 0.84211 and 0.28070. Keywords: multi-thread, telemonitoring, GUI, Qt creator, c language
Identifikasi Parameter Koefisien Gesek Memakai Metode Jaringan Saraf Tiruan Untuk Kontrol Dinamika Kendaraan Mirdanies, Midriem; Rijanto, Estiko
INKOM Journal Vol 5, No 1 (2011)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.166 KB) | DOI: 10.14203/j.inkom.91

Abstract

Pengendalian dinamika kendaraan agar lebih stabil saat bermanufer tergantung pada gaya gesek antara roda kendaraan dan permukaan jalan. Pada tulisan ini disajikan sebuah aplikasi metode identifikasi parameter model non-linear menggunakan metode backpropagation yang merupakan salah satu metode pada jaringan saraf tiruan (JST). Model pada tulisan ini adalah model koefisien gaya gesek antara roda kendaraan dan permukaan jalan yang memiliki dua buah parameter yang nilainya perlu ditentukan. Pendekatan metode jaringan saraf tiruan yang digunakan pada tulisan ini memiliki satu masukan, satu lapisan tersembunyi (hidden layer), dan satu keluaran. Simulasi komputer telah dilakukan menggunakan perangkat lunak GNU Octave terhadap tiga kondisi jalan yaitu kondisi jalan licin, kondisi jalan aspal basah, dan kondisi jalan aspal kering. Dari hasil simulasi telah diperoleh nilai dua parameter tersebut sehingga persamaan koefisien gesekan pada jalan licin menjadi: µ = 0.4 sin(1,5761.tan-1(10,901.s)), pada jalan aspal basah: µ = 0.6 sin(1,6443.tan-1(9,5941.s)) dan pada jalan aspal kering: µ = 0.9 sin(-1,6354.tan-1(-10,279.s)).
Co-Authors A.A. Ketut Agung Cahyawan W Adhy Prayitno, Adhy Anwar Muqorobin Arif Santoso Ary Setijadi Prihatmanto Ayunita, Dyna Dodi Sofyan Arief, Dodi Sofyan Estiko Rijanto Hendri Maja Saputra Lukni Maulana Minarni Shiddiq, Minarni Riastus Nayanti Rizqi Andry Ardiansyah Roni Permana Saputra Sukma Aditya Taylor, Liana Ellen Vikita Windarwati Vita Susanti