Sensor data processing based on the data log system using the portable IoT device and RT-Middleware

Sekiyama, Mamoru; Kim, Bong Keun; Irie, Seisho; Tanikawa, Tamio

doi:10.1109/urai.2015.7358925

Cited by 5 publications

(2 citation statements)

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“…Applying GAN for IoT applications involves generating entirely different data based on the available original data set. The general applications of GAN include localization formulation and wayfinding in graph-based networks [65,66]. In these applications, the generator network module of GAN estimates all the possible feasible paths that exist between two nodes.…”

Section: Discussionmentioning

confidence: 99%

An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques

Krishnamurthi

Kumar

Gopinathan

et al. 2020

Sensors

209

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In the recent era of the Internet of Things, the dominant role of sensors and the Internet provides a solution to a wide variety of real-life problems. Such applications include smart city, smart healthcare systems, smart building, smart transport and smart environment. However, the real-time IoT sensor data include several challenges, such as a deluge of unclean sensor data and a high resource-consumption cost. As such, this paper addresses how to process IoT sensor data, fusion with other data sources, and analyses to produce knowledgeable insight into hidden data patterns for rapid decision-making. This paper addresses the data processing techniques such as data denoising, data outlier detection, missing data imputation and data aggregation. Further, it elaborates on the necessity of data fusion and various data fusion methods such as direct fusion, associated feature extraction, and identity declaration data fusion. This paper also aims to address data analysis integration with emerging technologies, such as cloud computing, fog computing and edge computing, towards various challenges in IoT sensor network and sensor data analysis. In summary, this paper is the first of its kind to present a complete overview of IoT sensor data processing, fusion and analysis techniques.

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Section: Discussionmentioning

confidence: 99%

An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques

Krishnamurthi

Kumar

Gopinathan

et al. 2020

Sensors

209

View full text Add to dashboard Cite

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“…The implementation of sensors that consume minimal power and single-node data transfer using narrowband networks are widely used in IoT systems. These systems are developed and deployed through countless applications, including medical [1], global positioning systems [2], intrinsic safety systems [3], and light spectrum analysis systems [4]. Regardless of the application in which the IoT system is deployed, all systems have certain aspects in common, such as a self-powered sensor with an internal or external battery, a limited number of registers published into the network, and data refresh rates greater than 1 s; in addition, despite being interfaced into a single communication port, not all devices are synchronized with a real-time stamp.…”

Section: Introductionmentioning

confidence: 99%

Design and Construction of a Portable IoT Station

Trape,

Hellany,

Shah

et al. 2024

Sensors

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This paper discusses the design and implementation of a portable IoT station. Communication and data synchronization issues in several installations are addressed here, making possible a detailed analysis of the entire system during its operation. The system operator requires a synchronized data stream, combining multiple communication protocols into one single time stamp. The hardware selected for the portable IoT station complies with the International Electrotechnical Commission (IEC) industrial standards. A short discussion regarding interface customization shows how easily the hardware can be modified so that it is integrated with almost any system. A programmable logic controller enables the Node-RED to be utilized. This open-source middleware defines operations for each global variable nominated in the Modbus register. Two applications are presented and discussed in this paper; each application has a distinct methodology utilized to publish and visualize the acquired data. The portable IoT station is highly customizable, consisting of a modular structure and providing the best platform for future research and development of dedicated algorithms. This paper also demonstrates how the portable IoT station can be implemented in systems where time-based data synchronization is essential while introducing a seamless implementation and operation.

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