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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknik Mesin Indonesia
Leda, Jeremias Mathias
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Transportation

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A Defleksi Vertikal Poros Turbin Angin Multi Blade di Daerah Pedesaan Bagian III: Kaji Teoritik dan Numerik Koten, Viktus; Leda, Jeremias Mathias
Jurnal Teknik Mesin Indonesia Vol. 20 No. 1 (2025): Vol. 20 No. 1 (2025): Jurnal Teknik Mesin Indonesia
Publisher : Badan Kerja Sama Teknik Mesin Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36289/jtmi.v20i1.613

Abstract

The multi-blade wind turbine is a type of wind turbine that has been used by salt farmers in Paccelang Village, Bangkala District, Jeneponto Regency, South Sulawesi Province. In operation, the turbine often experiences resonance due to excessive vertical deflection of the shaft. This article examines and identifies the parameters that cause vertical shaft deflection. Research was carried out theoretically and numerically. Theoretically, the research was carried out by entering the appropriate parameters into the described shaft vertical deflection equation. Numerically, research was carried out using autodesk inventor software. The parameters that cause excessive vertical deflection of the shaft and are sorted based on their contribution are reduction in shaft diameter, extension of the shaft, and increase in external load
SMALL OBJECT DETECTION APPROACH BASED ON ENHANCED SINGLE-SHOT DETECTOR FOR DETECTION AND RECOGNITION OF INDONESIAN TRAFFIC SIGNS Chyan, Phie; Saptadi, Norbertus Tri Suswanto; Leda, Jeremias Mathias
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2653-2662

Abstract

The detection and recognition of traffic signs are crucial components of advanced driving assistance systems (ADAS) that enhance road safety. Current traffic sign detection and recognition model technology is proficient in identifying and interpreting traffic signs. However, for accurate detection and recognition, the traffic sign in the image must be of a certain minimum pixel size or distance from the driver's sight line for proper detection. The ADAS system should be capable of detecting and recognizing road traffic signs from a considerable distance as they come into the driver's line of vision. The higher the vehicle speed, the greater the distance required for the sign to be detected and recognized, allowing the driver sufficient time to react according to the sign's meaning. Addressing these challenges, this research proposes an enhanced version of the single shot detector (SSD) algorithm, commonly used in object detection, to improve the algorithm's ability to detect small objects. The proposed method involves adding an auxiliary layer module to the original SSD architecture to increase the feature map resolution and expand the conventional layer's receptive space. With the Enhanced SSD algorithm, the detection capability of the SSD can be significantly enhanced in terms of accuracy. The limitations of this study are related to the influence of occlusion and clutter, which might affect the performance of object detection, especially for small objects, which are more susceptible to being influenced by various factors. The research results demonstrate that Enhanced SSD improves object detection accuracy compared to the original SSD, with a mean average precision (mAP) of 97.87 compared to 95.35 for detecting 21 traffic signs in Indonesia.
Co-Authors Koten, Viktus Phie Chyan