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All Journal Jurnal Elektronika dan Telekomunikasi
Hana Arisesa
Faculty of Electrical Engineering, Universiti Teknologi Malaysia
Electrical & Electronics Engineering Engineering

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Development of FMCW Radar Signal Processing for High-Speed Railway Collision Avoidance Farra Anindya Putri; Dayat Kurniawan; Rahmawati Hasanah; Taufiqurrahman Taufiqurrahman; Eko Joni Pristianto; Hana Arisesa; Yusuf Nur Wijayanto; Deni Permana; Winy Desvasari; Ken Paramayudha; Arief Budi Santiko; Dadin Mahmudin; Pamungkas Daud; Fajri Darwis; Erry Dwi Kurniawan; Arie Setiawan; Tajul Miftahushudur; Prasetyo Putranto; Syamsu Ismail
Jurnal Elektronika dan Telekomunikasi Vol 22, No 1 (2022)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.482

Abstract

Collision is the main issue in safe transportation, including in the railway system. Sensor systems have been developed to detect obstacles to prevent a collision, such as using cameras. One disadvantage of the camera systems is that performance detection decreases in a not clean environment, like the target position behind the fogs. This paper discusses the development of frequency modulated continuous wave (FMCW) radar signal processing for high-speed railway collision avoidance. The development of radar signal processing combines a two-dimensional constant false alarm rate (2D-CFAR) and robust principal component analysis (RPCA) to detect moving targets under clutter. Cell average (CA) and Greatest of CA (GOCA) CFAR are evaluated under a cluttered wall environment along the railway track. From the experiment, the development of FMCW radar can detect stationary or moving obstacles around 675 meters in front of the locomotive. Combining 2D-CFAR and RPCA algorithm outperforms average background subtraction in extracting moving targets from strong clutter signals along the railway track.
The Optical Characteristics of 20 Watt Far-UVC Light and Its Application for Disinfection Chamber Nidya Chitraningrum; Yusuf Nur Wijayanto; Hana Arisesa; Indra Sakti; Dadin Mahmudin; Budi Prawara; Deni Permana Kurniadi; Pamungkas Daud
Jurnal Elektronika dan Telekomunikasi Vol 22, No 2 (2022)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.502

Abstract

The far-ultraviolet C (UVC) light has been used recently as an alternative disinfection system to deactivate the novel coronaviruses that cause coronavirus disease (COVID-19) without introducing any health damage to humans. We investigate that the far-UVC light from far-UVC excimer lamps (BEST 20 Watt) is a promising candidate for a far-UVC disinfection system to prevent human-to-human transmission of COVID-19. The optical characterization of far-UVC excimer lamps was examined. The maximum irradiance of the far-UVC excimer lamps is 219 nm, which is known to have antimicrobial capabilities on microorganisms, including coronaviruses. We propose a design of a disinfection chamber system based on eight 219 nm far-UVC excimer lamps which are attached vertically about 35 cm to each other, and the irradiation angle was installed at the angle of approximately 120° in order to optimize the irradiation of far-UVC light to a human body. For microorganism inactivation at a distance of around 10 cm from the human body, 219 nm far-UVC excimer lamps requires less than 5 s of irradiation time and the required intensity of 840 mW/cm2 at a low dose of 3000 mJ/cm2. We recommend that our proposed disinfection chamber can be used for humans and applied in public areas to decrease the spread of COVID-19 without any adverse health effect.
Co-Authors Arie Setiawan Arief Budi Santiko Budi Prawara Dadin Mahmudin Dayat Kurniawan Deni Permana Deni Permana Kurniadi Eko Joni Pristianto Erry Dwi Kurniawan Fajri Darwis Farra Anindya Putri Indra Sakti Ken Paramayudha Nidya Chitraningrum Pamungkas Daud Prasetyo Putranto Rahmawati Hasanah Syamsu Ismail Tajul Miftahushudur Taufiqurrahman Taufiqurrahman Winy Desvasari Yusuf Nur Wijayanto Yusuf Nur Wijayanto