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Viktor Masalskyi, Dominykas Ciciurenas, Andrius Dzedzickis, Urte Prentice, Gediminas Braziulis and Vytautas Bucinskas
This paper addresses the challenge of synchronizing data acquisition from independent sensor systems in a local network. The network comprises microcontroller-based systems that collect data from physical sensors used for monitoring human gait. The synch...
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Youngkwang Kim, Woochan Kim, Jungwoo Yoon, Sangkug Chung and Daegeun Kim
This paper presents a practical contamination detection system for camera lenses using image analysis with deep learning. The proposed system can detect contamination in camera digital images through contamination learning utilizing deep learning, and it...
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Yu Zhang, Jiajun Niu, Zezhong Huang, Chunlei Pan, Yueju Xue and Fengxiao Tan
An algorithm model based on computer vision is one of the critical technologies that are imperative for agriculture and forestry planting. In this paper, a vision algorithm model based on StyleGAN and improved YOLOv5s is proposed to detect sandalwood tre...
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Sadia Alam Shammi, Yanbo Huang, Gary Feng, Haile Tewolde, Xin Zhang, Johnie Jenkins and Mark Shankle
The application of remote sensing, which is non-destructive and cost-efficient, has been widely used in crop monitoring and management. This study used a built-in multispectral imager on a small unmanned aerial vehicle (UAV) to capture multispectral imag...
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Heiko Oppel and Michael Munz
Human monitoring systems are already utilized in various fields like assisted living, healthcare or sport and fitness. They are able to support in everyday life or act as a pre-warning system. We developed a system to monitor the ascent of a sport climbe...
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Olga S. Arvaniti, Georgios Gkotsis, Maria-Christina Nika, Stelios Gyparakis, Thrassyvoulos Manios, Nikolaos S. Thomaidis, Michalis S. Fountoulakis and Athanasios S. Stasinakis
The presence of 220 emerging contaminants belonging to different classes (artificial sweeteners, personal care products, coffee and tobacco-related compounds, and industrial chemicals) was investigated in hospital wastewater for the first time. Twenty sa...
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Yunhan Geng, Shaojuan Su, Tianxiang Zhang and Zhaoyu Zhu
Centrifugal pumps are susceptible to various faults, particularly under challenging conditions such as high pressure. Swift and accurate fault diagnosis is crucial for enhancing the reliability and safety of mechanical equipment. However, monitoring data...
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Jhon Fredy Narvaez Valderrama, Juan D. González, Jazmín Porras and Francisco J. Molina
Persistent Organic Pollutants (POPs) in water can reach levels below ppt (ng L-1), representing a challenge for risk assessment using long-term exposure. Therefore, sampling devices to monitor trace levels of organic compounds are suitable due to their s...
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Sadeq A. A. Alkhadher, Hussein E. Al-Hazmi, Suhaimi Suratman, Mohamad P. Zakaria, Najat Masood, Bartosz Szelag, Sami M. Magam, Ebrahim H. H. Al-Qadami, Joanna Majtacz, Przemyslaw Kowal, Tonni A. Kurniawan, Sameer A. M. Abdulrahman and Saeed S. Albaseer
In this study, the use of linear alkylbenzenes (LABs) was employed to pinpoint the sources of human activity that cause detrimental impacts on the coastal environment and river ecosystems. LABs were detected using GC?MS in sediment samples assembled from...
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Ibrahim Ba?abbad and Omar Batarfi
Several malware variants have attacked systems and data over time. Ransomware is among the most harmful malware since it causes huge losses. In order to get a ransom, ransomware is software that locks the victim?s machine or encrypts his personal informa...
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