scholarly journals A Framework for Real Time Processing of Sensor Data in the Cloud

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Supun Kamburugamuve ◽  
Leif Christiansen ◽  
Geoffrey Fox
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Cloud Services ◽  
Sensor Data ◽  
Smart Devices ◽  
Time Data ◽  
Real Time Processing ◽  
Real Time Data ◽  
Autonomous Robot Navigation ◽  
Real Time Data Processing

We describe IoTCloud, a platform to connect smart devices to cloud services for real time data processing and control. A device connected to IoTCloud can communicate with real time data analysis frameworks deployed in the cloud via messaging. The platform design is scalable in connecting devices as well as transferring and processing data. With IoTCloud, a user can develop real time data processing algorithms in an abstract framework without concern for the underlying details of how the data is distributed and transferred. For this platform, we primarily consider real time robotics applications such as autonomous robot navigation, where there are strict requirements on processing latency and demand for scalable processing. To demonstrate the effectiveness of the system, a robotic application is developed on top of the framework. The system and the robotics application characteristics are measured to show that data processing in central servers is feasible for real time sensor applications.

scholarly journals DESIGN AND IMPLEMENTATION OF A LOW-COST UAV-BASED MULTI-SENSOR PAYLOAD FOR RAPID-RESPONSE MAPPING APPLICATIONS

2016 ◽  
Vol XLI-B1 ◽  
pp. 1017-1022 ◽  
Author(s):  
M. Sakr ◽  
Z. Lari ◽  
N. El-Sheimy
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Low Cost ◽  
Building Blocks ◽  
Rapid Response ◽  
Disaster Mitigation ◽  
Time Data ◽  
Real Time Processing ◽  
Real Time Data ◽  
Real Time Data Processing

The main objective of this paper is to investigate the potential of using Unmanned Aerial Vehicles (UAVs) as a platform to collect geospatial data for rapid response applications, especially in hard-to-access and hazardous areas. The UAVs are low-cost mapping vehicles, and they are easy to handle and deploy in-field. These characteristics make UAVs ideal candidates for rapid-response and disaster mitigation scenarios. The majority of the available UAV systems are not capable of real-time/near real-time data processing. This paper introduces a low-cost UAV-based multi-sensor mapping payload which supports real-time processing and can be effectively used in rapid-response applications. The paper introduces the main components of the system, and provides an overview of the proposed payload architecture. Then, it introduces the implementation details of the major building blocks of the system. Finally, the paper presents our conclusions and the future work, in order to achieve real-time/near real-time data processing and product delivery capabilities.

scholarly journals DESIGN AND IMPLEMENTATION OF A LOW-COST UAV-BASED MULTI-SENSOR PAYLOAD FOR RAPID-RESPONSE MAPPING APPLICATIONS

2016 ◽  
Vol XLI-B1 ◽  
pp. 1017-1022
Author(s):  
M. Sakr ◽  
Z. Lari ◽  
N. El-Sheimy
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Low Cost ◽  
Building Blocks ◽  
Rapid Response ◽  
Disaster Mitigation ◽  
Time Data ◽  
Real Time Processing ◽  
Real Time Data ◽  
Real Time Data Processing

The main objective of this paper is to investigate the potential of using Unmanned Aerial Vehicles (UAVs) as a platform to collect geospatial data for rapid response applications, especially in hard-to-access and hazardous areas. The UAVs are low-cost mapping vehicles, and they are easy to handle and deploy in-field. These characteristics make UAVs ideal candidates for rapid-response and disaster mitigation scenarios. The majority of the available UAV systems are not capable of real-time/near real-time data processing. This paper introduces a low-cost UAV-based multi-sensor mapping payload which supports real-time processing and can be effectively used in rapid-response applications. The paper introduces the main components of the system, and provides an overview of the proposed payload architecture. Then, it introduces the implementation details of the major building blocks of the system. Finally, the paper presents our conclusions and the future work, in order to achieve real-time/near real-time data processing and product delivery capabilities.

Efficient and Accurate Monitoring of Rod Pump Well Performance Using Real Time Data Processing and Visualization.

2013 ◽  
Author(s):  
Orvel Lynn Rowlan ◽  
James N. McCoy ◽  
Dieter Joseph Becker ◽  
Kay Stefan Capps ◽  
A. L. Podio
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Well Performance ◽  
Time Data ◽  
Real Time Data ◽  
Real Time Data Processing
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