Real-time physical data acquisition through a remote sensing platform on a polar lake

2004 ◽  
Vol 2 (6) ◽  
pp. 191-201 ◽  
Author(s):  
Ben Palethorpe ◽  
Barrie Hayes-Gill ◽  
John Crowe ◽  
Mark Sumner ◽  
Neil Crout ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Acquisition ◽  
Real Time ◽  
Physical Data ◽  
Sensing Platform

scholarly journals A REAL-TIME REMOTE SENSING AND DATA ACQUISITION SYSTEM FOR A NUCLEAR POWER PLANT

2011 ◽  
Vol 43 (2) ◽  
pp. 99-104
Author(s):  
Ki-Ho Kim ◽  
Bui Van Hieu ◽  
Seung-Hyun Beak ◽  
Seung-Hwan Choi ◽  
Tae-Ha Son ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Data Acquisition ◽  
Real Time ◽  
Nuclear Power ◽  
Data Acquisition System ◽  
Acquisition System

scholarly journals Real Time Radio Frequency Exposure for Bio-Physical Data Acquisition

10.5772/38508 ◽  
2012 ◽  
Author(s):  
Alessandra Paffi ◽  
Francesca Apollonio ◽  
Guglielmo dInzeo ◽  
Giorgio A. ◽  
Micaela Liberti
Keyword(s):  
Radio Frequency ◽  
Data Acquisition ◽  
Real Time ◽  
Physical Data

scholarly journals Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects

2020 ◽  
Vol 12 (6) ◽  
pp. 948 ◽  
Author(s):  
Clare Gaffey ◽  
Anshuman Bhardwaj
Keyword(s):  
Remote Sensing ◽  
Data Acquisition ◽  
Unmanned Aerial Vehicles ◽  
Regional Climate ◽  
Airborne Remote Sensing ◽  
Aerial Vehicles ◽  
Holistic Review ◽  
Sensing Platform ◽  
Sensing Platforms ◽  
Data Acquisition And Processing

Owing to usual logistic hardships related to field-based cryospheric research, remote sensing has played a significant role in understanding the frozen components of the Earth system. Conventional spaceborne or airborne remote sensing platforms have their own merits and limitations. Unmanned aerial vehicles (UAVs) have emerged as a viable and inexpensive option for studying the cryospheric components at unprecedented spatiotemporal resolutions. UAVs are adaptable to various cryospheric research needs in terms of providing flexibility with data acquisition windows, revisits, data/sensor types (multispectral, hyperspectral, microwave, thermal/night imaging, Light Detection and Ranging (LiDAR), and photogrammetric stereos), viewing angles, flying altitudes, and overlap dimensions. Thus, UAVs have the potential to act as a bridging remote sensing platform between spatially discrete in situ observations and spatially continuous but coarser and costlier spaceborne or conventional airborne remote sensing. In recent years, a number of studies using UAVs for cryospheric research have been published. However, a holistic review discussing the methodological advancements, hardware and software improvements, results, and future prospects of such cryospheric studies is completely missing. In the present scenario of rapidly changing global and regional climate, studying cryospheric changes using UAVs is bound to gain further momentum and future studies will benefit from a balanced review on this topic. Our review covers the most recent applications of UAVs within glaciology, snow, permafrost, and polar research to support the continued development of high-resolution investigations of cryosphere. We also analyze the UAV and sensor hardware, and data acquisition and processing software in terms of popularity for cryospheric applications and revisit the existing UAV flying regulations in cold regions of the world. The recent usage of UAVs outlined in 103 case studies provide expertise that future investigators should base decisions on.

scholarly journals Automated Data Acquisition in Construction with Remote Sensing Technologies

2020 ◽  
Vol 10 (8) ◽  
pp. 2846 ◽  
Author(s):  
Osama Moselhi ◽  
Hassan Bardareh ◽  
Zhenhua Zhu
Keyword(s):  
Remote Sensing ◽  
Data Acquisition ◽  
Real Time ◽  
Construction Projects ◽  
Negative Impact ◽  
Sensor Data ◽  
Construction Operations ◽  
Multi Sensor Data Fusion ◽  
Information Models ◽  
Wide Range

Near real-time tracking of construction operations and timely progress reporting are essential for effective management of construction projects. This does not only mitigate potential negative impact of schedule delays and cost overruns but also helps to improve safety on site. Such timely tracking circumvents the drawbacks of conventional methods for data acquisition, which are manual, labor-intensive, and not reliable enough for various construction purposes. To address these issues, a wide range of automated site data acquisition, including remote sensing (RS) technologies, has been introduced. This review article describes the capabilities and limitations of various scenarios employing RS enabling technologies for localization, with a focus on multi-sensor data fusion models. In particular, we have considered integration of real-time location systems (RTLSs) including GPS and UWB with other sensing technologies such as RFID, WSN, and digital imaging for their use in construction. This integrated use of technologies, along with information models (e.g., BIM models) is expected to enhance the efficiency of automated site data acquisition. It is also hoped that this review will prompt researchers to investigate fusion-based data capturing and processing.

scholarly journals Intelligent IoT systems for civil infrastructure health monitoring: a research roadmap

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
E. Bertino ◽  
M. R. Jahanshahi ◽  
A. Singla ◽  
R.-T. Wu
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Original Data ◽  
Local Analysis ◽  
Civil Infrastructure ◽  
Time Requirements ◽  
Iot Devices ◽  
Learning Reinforcement ◽  
The Times ◽  
Acquisition Processes

AbstractThis paper addresses the problem of efficient and effective data collection and analytics for applications such as civil infrastructure monitoring and emergency management. Such problem requires the development of techniques by which data acquisition devices, such as IoT devices, can: (a) perform local analysis of collected data; and (b) based on the results of such analysis, autonomously decide further data acquisition. The ability to perform local analysis is critical in order to reduce the transmission costs and latency as the results of an analysis are usually smaller in size than the original data. As an example, in case of strict real-time requirements, the analysis results can be transmitted in real-time, whereas the actual collected data can be uploaded later on. The ability to autonomously decide about further data acquisition enhances scalability and reduces the need of real-time human involvement in data acquisition processes, especially in contexts with critical real-time requirements. The paper focuses on deep neural networks and discusses techniques for supporting transfer learning and pruning, so to reduce the times for training the networks and the size of the networks for deployment at IoT devices. We also discuss approaches based on machine learning reinforcement techniques enhancing the autonomy of IoT devices.

scholarly journals The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Decision Making ◽  
Data Acquisition ◽  
Real Time ◽  
Failure Detection ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Time Data ◽  
Physical Systems ◽  
The Real ◽  
Real Time Data

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

A real time, wireless and low cost data acquisition system for residential PV modules

2020 ◽  
Author(s):  
Cheyma BARKA ◽  
Hanen MESSAOUDI-ABID ◽  
Houda BEN ATTIA SETTHOM ◽  
Afef BENNANI-BEN ABDELGHANI ◽  
Ilhem SLAMA-BELKHODJA ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Low Cost ◽  
Data Acquisition System ◽  
Cost Data ◽  
Acquisition System ◽  
Pv Modules
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