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Journal : JOIV : International Journal on Informatics Visualization

Optimizing Quadrotor Stability: RBF Neural Network Control with Performance Bound for Center of Gravity Uncertainty Yani, Mohamad; Ardilla, Fernando; Anom Besari, Adnan Rahmat; Saputra, Azhar Aulia; Kubota, Naoyuki; Ismail, Zool H
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2918

Abstract

The Radial Basis Function (RBF) neural network has been widely applied for approximating nonlinear systems and improving control robustness, particularly in uncertain conditions such as dynamic shifts in the quadrotor’s Center of Gravity (COG). However, initial weight estimation errors can degrade transient responses, reducing tracking performance. This study proposes a novel RBF-based control scheme integrated with a performance-bound mechanism to enhance quadrotor stability under COG uncertainty. The performance bound ensures that the quadrotor’s motion remains within a defined region around the reference trajectory, thereby minimizing steady-state and transient errors. The RBF network is trained online to estimate the system’s dynamic changes, and the controller is designed using a Lyapunov-like function to ensure stability. Simulation results show that the proposed controller achieves better tracking accuracy and significantly lower energy usage, with total force and moment values reduced compared to the standard RBF controller. Specifically, the proposed controller uses 3010.7 N of force and 2.2427 Nm of moment, while the standard controller requires 3150.2 N and 15.197 Nm. These results confirm that the proposed method provides improved performance and energy efficiency. This research highlights the potential of integrating performance bounds in neural network control for robust quadrotor navigation. Future work includes real-world experiments to validate performance under varying COG perturbations.
Optimizing YOLOv8 for Enhanced Melon Maturity Detection with Attention Mechanisms: A Case Study from Puspalebo Orchard Umar, Ubaidillah; Sardjono, Tri Arief; Kusuma, Hendra; Yani, Mohamad; Widyantara, Helmy
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2942

Abstract

Enhancing fruit maturity detection is crucial in the agricultural industry to ensure product quality and reduce post-harvest losses. However, commonly used maturity detection methods still rely on human visual inspection, which is prone to errors and assessment variability. Challenges like lighting variations, complex backgrounds, and diverse environmental conditions often complicate accurate and efficient detection. This study aims to develop and evaluate an optimized YOLOv8 model with attention mechanisms to detect melon maturity. The dataset was obtained from Puspalebo Orchard in East Java, Indonesia, comprising over a thousand melon images divided into three subsets: 70% for training, 20% for validation, and 10% for testing. The YOLOv8 model was modified to support the integration of attention mechanisms to enhance focus on significant features and detection accuracy. Data augmentation techniques were applied to capture environmental condition variations, improving the model's robustness. Evaluation on the validation subset showed a precision of 0.979 for all classes, recall of 0.962, mAP@50 of 0.981, and mAP@50-95 of 0.941. The model also demonstrated high efficiency for real-time applications with a preprocessing time of 0.1ms, inference time of 0.9ms, and post-process time of 0.9ms per image. The results of this study show advantages in detection detail, adaptability, and real-time efficiency compared to other studies in the past five years. Some weaknesses were identified, such as implementation complexity and the need for a large dataset. The developed YOLOv8 model improves melon maturity detection performance, offering a more accurate, efficient, and adaptive solution for the agricultural industry.
Co-Authors -, Machfud . Purwoko A.A. Ketut Agung Cahyawan W Aceng Hidayat Achmad, Imron Ramdhani Agung Dhamar Syakti Agung Syakti Ahmad Zaky Nugraha Akbar Akbar Akbar, Achmad Syiham Alusvigayana, Pryanka Andes Ismayana Ani . Ani . Anifatul Faricha Anom Besari, Adnan Rahmat Antarif Kusuma Brata Ardilla, Fernando Arief Sabdo Yuwono Arifudin Arifudin Asep Nugraha Ardiwinata Asrol, Muhammad Azhar Aulia Saputra Borneo Satria Pratama Cahyaputri, Bunga Chandra Indrawanto Charlena Christy Nur Cahyani Derin Pahlevi Devy Setyana Didy Sopandie Dwi Febriantini, Dwi Dwindrata Basuki Aviantara Edi Iswanto Wiloso Edy Sutrisno Eman Sulaeman Erliza Hambali Erliza Noor Etty Riani Fadliah Salim Fajar Rizki, Fajar Fajri, Wilda Wirdatul Gunawan Hadiko Halimatushadyah, Ernie Hasintongan, Ferdinand Ronald Helmy Widyantara Hendra Kusuma I.F. Poernomosidhi Poerwo I.F. Poernomosidhi Poerwo Ignatius Wing Kusbimanto Ihsan, Iif Miftahul Ika Amalia Kartika Illah Sailah Irawan, Andre Irdika Mansur Iryanto Ismail, Zool H Iswandi Anas Iwan Perala Jonathan, Erwin Khodijah, Nur Siti Kubota, Naoyuki Kukuh Murtilaksono Kusbimanto, Ignatius Wing Laura Reviani Bestari Lira, Jumiati lutfi wahyuni, Melani Machfud - Machfud Machfud Machfud Machfud Marimin , Marimin Marimin Mas?ud, Zainal Alim Maulidi Firlandiana Mia Juliana Miftah Fauzi , Anas Molla, Saleh Muhammad Abdul Aziz Muhammad Asrol Muhammad Faizal Mahmud Muhammad Hendrizal Muhammad Romli dan Suprihatin Andes Ismayana Mujito Mujito Mustamiin, Muhamad Naafilaturrosyidah Nandar, Ramdani Hairul Nandar Naoto Matsue Nardi Nastiti Siswi Indrasti Naufal Ali Hamid Ni Wayan Srimani Puspa Dewi Nurcahyani, Puji Rahmawati Nurholis Pebriani, Siska Perdana, Rechal Permana, Mohammad Rizky Permatasari, Tetty Pramulya, Rahmat Putra, Aditya Firmanda Rahayu, Neneng Sri Rahmat Hidayat Rahmatullah, Rifki Rasmana, Susjianto Tri Reko Rinaldo Rendi Ridwan, Wonny Ahmad Rizky, Khoiril RR. Ella Evrita Hestiandari Rukmayadi, Dede Saiful Anwar Santun R.P. Sitorus Santun R.P. Sitorus Sari Yulia Hasibuan Seftiani, Tia Setyanti, Putri Widanti Sillak Hasiany Siti Aminatu Zuhria Siti Wardah, Siti Sohiburoyyan, Robieth Subayu, Achmad SUGIARTO . Sukardi . Suprihatin Suprihatin Suprihatin Suprihatin Suprihatin Syaiful Anwar Syarif Hidayat Syarif Hidayat Syarwan, Supandi Syauqi, Fattah Rafif Tajudin Bantacut Tamala, Yulianida Tania June Tri Arief Sardjono TRINA EKAWATI TALLEI Tyara Puspaningrum Ubaidillah Umar, Ubaidillah Uhendi Haris Veybi Djoharam Wati, Vera Yadi Setiadi Yadi Setiadi Yusuf Akbar Zainal Alim Mas’ud