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Jui-Fa Chen, Yu-Ting Liao and Po-Chun Wang
Climate change has exacerbated severe rainfall events, leading to rapid and unpredictable fluctuations in river water levels. This environment necessitates the development of real-time, automated systems for water level detection. Due to degradation, tra...
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Yohanes Yohanie Fridelin Panduman, Nobuo Funabiki, Evianita Dewi Fajrianti, Shihao Fang and Sritrusta Sukaridhoto
In this paper, we have developed the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform for fast deployments of IoT application systems. It provides various integration capabilities for the collection, displ...
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Adi Wibowo, Joga Dharma Setiawan, Hadha Afrisal, Anak Agung Sagung Manik Mahachandra Jayanti Mertha, Sigit Puji Santosa, Kuncoro Budhi Wisnu, Ambar Mardiyoto, Henri Nurrakhman, Boyi Kartiwa and Wahyu Caesarendra
Human eyes generally perform product defect inspection in Indonesian industrial production lines; resulting in low efficiency and a high margin of error due to eye tiredness. Automated quality assessment systems for mass production can utilize deep learn...
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Vitali Czymmek, Carolin Köhn, Leif Ole Harders and Stephan Hussmann
The sustainable cultivation of organic vegetables and the associated problem of weed control has been a current research topic for some time. Despite this, the use of chemical and synthetic pesticides increases every year. This is to be solved with the h...
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Carlos E. Mendoza-Ramírez, Juan C. Tudon-Martinez, Luis C. Félix-Herrán, Jorge de J. Lozoya-Santos and Adriana Vargas-Martínez
An Augmented Reality (AR) system is a technology that overlays digital information, such as images, sounds, or text, onto a user?s view of the real world, providing an enriched and interactive experience of the surrounding environment. It has evolved int...
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Miaomiao Yuan, Zhuneng Fang, Peng Xiao, Ruijin Tong, Min Zhang and Yule Huang
Real-time systems for measuring structural cracks are of great significance due to their computational and cost efficacy, inherent hazards, and detection discrepancies associated with the manual visual assessment of structures. The precision and effectiv...
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Manuel Nhangumbe, Andrea Nascetti and Yifang Ban
Floods are one of the most frequent natural disasters worldwide. Although the vulnerability varies from region to region, all countries are susceptible to flooding. Mozambique was hit by several cyclones in the last few decades, and in 2019, after cyclon...
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Minying Ye and Kanji Tanaka
Self-localization is a crucial requirement for visual robot place recognition. Particularly, the 3D point cloud obtained from 3D laser rangefinders (LRF) is applied to it. The critical part is the efficiency and accuracy of place recognition of visual ro...
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Zengle Li, Huimei Zhang, Bin Zhi, Xin Li and Shiguan Chen
As the most common geological disaster problem in mines, slope geological disasters have become a focus of research, along with the difficulty of mine safety and ecological environment protection together with the ecological restoration of open-pit mines...
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Seung-Jun Kim, Hyeon-Seung Lee, Seok-Joon Hwang, Jeong-Hun Kim, Moon-Kyeong Jang and Ju-Seok Nam
In this study, we developed a monitoring system to accurately track the seeding rate and to identify the locations where the mechanical pot-seeding machine failed to sow seeds correctly. The monitoring system employs diverse image processing techniques, ...
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