359   Artículos

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en línea
Yuwei Zhang, Jiaju Hong, Haotian Shi, Yucai Xie, Hongpeng Zhang, Shuyao Zhang, Wei Li and Haiquan Chen    
Diesel engines in marine power systems often work in extreme environments. Oil monitoring technology can guarantee the operational safety of diesel engines. In this paper, a magnetic plug sensor for oil debris monitoring is proposed to improve sensitivit... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Tiago Araújo, Lígia Silva and Adriano Moreira    
In a context of increased environmental awareness, the Internet of Things has allowed individuals or entities to build their own connected devices to share data about the environment. These data are often obtained from widely available low-cost sensors. ... ver más
Revista: IoT    Formato: Electrónico

 
en línea
Narcisa G. Pricope, Kerry L. Mapes, Kyle D. Woodward, Steele F. Olsen and J. Britton Baxley    
There is a growing demand for the collection of ultra-high spatial resolution imagery using unmanned aerial systems (UASs). UASs are a cost-effective solution for data collection on small scales and can fly at much lower altitudes, thus yielding spatial ... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Todd M. Buters, David Belton and Adam T. Cross    
The increasing spatial and temporal scales of ecological recovery projects demand more rapid and accurate methods of predicting restoration trajectory. Unmanned aerial vehicles (UAVs) offer greatly improved rapidity and efficiency compared to traditional... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Murtadha Aldeer, Mehdi Javanmard and Richard P. Martin    
Medication non-adherence is a prevalent, complex problem. Failure to follow medication schedules may lead to major health complications, including death. Proper medication adherence is thus required in order to gain the greatest possible drug benefit dur... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Matthew F. Johnson and Robert L. Wilby    
Temperature sensors are potentially susceptible to errors due to heating by solar radiation. Although this is well known for air temperature (Ta), significance to continuous water temperature (Tw) monitoring is relatively untested. This paper assesses ra... ver más
Revista: Water    Formato: Electrónico

 
en línea
Matthew T. O. Worsey, Hugo G. Espinosa, Jonathan B. Shepherd and David V. Thiel    
Machine learning is a powerful tool for data classification and has been used to classify movement data recorded by wearable inertial sensors in general living and sports. Inertial sensors can provide valuable biofeedback in combat sports such as boxing;... ver más
Revista: IoT    Formato: Electrónico

 
en línea
Dexin Wei, Chongyou Wu, Lan Jiang, Gang Wang and Hui Chen    
At present, Chinese corn grain harvesters lack cleaning loss monitoring. Cleaning parameters cannot be automatically adjusted, and the loss rate is high. In view of the above problems, a cleaning loss monitoring sensor is designed, composed of a metal im... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Fidel Lozano, Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, Jesús González Arteaga and Ye Xia    
The development of low-cost structural and environmental sensors has sparked a transformation across numerous fields, offering cost-effective solutions for monitoring infrastructures and buildings. However, the affordability of these solutions often come... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Do-Soo Kwon, Chungkuk Jin, MooHyun Kim and Weoncheol Koo    
This paper presents a machine learning method for detecting the mooring failures of SFT (submerged floating tunnel) based on DNN (deep neural network). The floater-mooring-coupled hydro-elastic time-domain numerical simulations are conducted under variou... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Weipeng Guan, Xinjie Zhang, Yuxiang Wu, Zekun Xie, Jingyi Li and Jieheng Zheng    
Visible Light Positioning (VLP) is widely recognized as a cost-effective solution for indoor positioning with increasing demand. However, the nonlinearity and highly complex relationship between three-dimensional world coordinate and two-dimensional imag... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Amir Javaheri, Mohammad Nabatian, Ehsan Omranian, Meghna Babbar-Sebens and Seong Jin Noh    
This study proposes a framework that (i) uses data assimilation as a post processing technique to increase the accuracy of water depth prediction, (ii) updates streamflow generated by the National Water Model (NWM), and (iii) proposes a scope for updatin... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Amir Javaheri, Mohammad Nabatian, Ehsan Omranian, Meghna Babbar-Sebens and Seong Jin Noh    
Revista: Hydrology    Formato: Electrónico

 
en línea
Shuanghu Qiao, Baojian Song, Yunsheng Fan and Guofeng Wang    
The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors. To addre... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Benjamin Agbo, Hussain Al-Aqrabi, Richard Hill and Tariq Alsboui    
The Internet of Things (IoT) has had a tremendous impact on the evolution and adoption of information and communication technology. In the modern world, data are generated by individuals and collected automatically by physical objects that are fitted wit... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Michal Tölgyessy, Martin Dekan and Lubo? Chovanec    
The Azure Kinect, the successor of Kinect v1 and Kinect v2, is a depth sensor. In this paper we evaluate the skeleton tracking abilities of the new sensor, namely accuracy and precision (repeatability). Firstly, we state the technical features of all thr... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiao Du, Jiajie Chen, Haibo Zhang and Jiqiang Wang    
The aero-engine system is complex, and the working environment is harsh. As the fundamental component of the aero-engine control system, the sensor must monitor its health status. Traditional sensor fault detection algorithms often have many parameters, ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Riccardo Naccarelli, Sara Casaccia, Michela Pirozzi and Gian Marco Revel    
This paper describes a methodology to optimize the home sensor network to measure the Activities of Daily Living (ADLs) of older people using Machine Learning (ML) applied to synthetic data generated via a newly developed Smart Living Environment (SLE) s... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
James Jin Kang, Kiran Fahd and Sitalakshmi Venkatraman    
Transferring data from a sensor or monitoring device in electronic health, vehicular informatics, or Internet of Things (IoT) networks has had the enduring challenge of improving data accuracy with relative efficiency. Previous works have proposed the us... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Vi?eslav Celan,Ivo Stancic,Josip Music     Pág. 109 - 119
The paper describes the design and features of the novel semi-autonomous floor scrubber add-on module, used for cleaning large indoor spaces. Module is designed in such a manner that it can be easily attached and detached from scrubber machine and that a... ver más
Revista: Journal of Communications Software and Systems    Formato: Electrónico

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