Big Data for SMART Sensor and Intelligent Electronic Devices – Building Application

2021 ◽  
pp. 11-28
Author(s):  
Mohammad Zand ◽  
Morteza Azimi Nasab ◽  
Sanjeevikumar Padmanaban ◽  
Mohammad Khoobani
Keyword(s):  
Big Data ◽  
Electronic Devices ◽  
Smart Sensor ◽  
Intelligent Electronic Devices

An Improvement of IED Configuration Tool and Modeling for Transformer Condition Monitoring IED

2014 ◽  
Vol 519-520 ◽  
pp. 1309-1312
Author(s):  
De Wen Wang ◽  
Ru Kun Liu
Keyword(s):  
Condition Monitoring ◽  
Design Method ◽  
Electronic Devices ◽  
Object Oriented ◽  
Description Language ◽  
Control Block ◽  
Iec 61850 ◽  
Modeling Technology ◽  
Data Object ◽  
Intelligent Electronic Devices

This paper analyzes the object-oriented modeling technology of IEC 61850 standard and the modeling steps of condition monitoring intelligent electronic devices (IED). Aiming at the problem of the existing configuration tools poor scalability for the IEC 61850 standard, a new design method of the IED configuration tool is brought up. Information model of transformer condition monitoring IED is established including logical device (LD), logical node (LN), data object (DO), data attribute (DA), dataset and report control block with the method mentioned above, and described with substation configuration description language.

scholarly journals The Smart Triad : Big Data Analytics , Cloud Computing and Internet of Things to shape the Smart Home, Smart City, Smart Business & Smart Country

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3594-3600 ◽  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Smart Home ◽  
Service Providers ◽  
Irrigation System ◽  
Electronic Devices ◽  
Big Data Analytics ◽  
User Privacy

Big data analytics, cloud computing & internet of things are a smart triad which have started shaping our future towards smart home, city, business, country. Internet of things is a convergence of intelligent networks, electronic devices, and cloud computing. The source of big data at different connected electronic devices is stored on cloud server for analytics. Cloud provides the readymade infrastructure, remote processing power to consumers of internet of things. Cloud computing also gives device manufacturers and service providers access to ―advanced analytics and monitoring‖, ―communication between services and devices‖, ―user privacy and security‖. This paper, presents an overview of internet of things, role of cloud computing & big data analytics towards IoT. In this paper IoT enabled automatic irrigation system is proposed that saves data over ―ThingSpeak‖ database an IoT analytics platform through ESP8266 wifi module. This paper also summarizes the application areas and discusses the challenges of IoT.

scholarly journals Special Issue on Intelligent Electronic Devices

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 645
Author(s):  
Teen-Hang Meen ◽  
Wenbing Zhao ◽  
Cheng-Fu Yang
Keyword(s):  
South Korea ◽  
Scientific Knowledge ◽  
Electronic Devices ◽  
Special Issue ◽  
International Conference ◽  
Knowledge Innovation ◽  
Innovation And Invention ◽  
Intelligent Electronic Devices ◽  
Ieee International Conference ◽  
Theoretical Results

The second IEEE International Conference on Knowledge Innovation and Invention 2019 (IEEE ICKII 2019) was held in Seoul, South Korea, 12–15 July 2019. This special issue “Intelligent Electronic Devices” selects 13 excellent papers form 260 papers presented in IEEE ICKII 2019 conference about the topics of Intelligent Electronic Devices. The main goals of this special issue are to encourage scientists to publish their experimental and theoretical results in as much detail as possible, and to discover new scientific knowledge relevant to the topics of electronics.

Applications of Big Data in Large and Small Systems

2021 ◽  
pp. 20-37
Author(s):  
Archana Purwar ◽  
Indu Chawla
Keyword(s):  
Big Data ◽  
Soft Computing ◽  
New Technology ◽  
Electronic Devices ◽  
Small Systems ◽  
Innovative Methods ◽  
Research Challenges ◽  
Basic Understanding ◽  
Basic Concepts ◽  
Tools And Techniques

Nowadays, big data is available in every field due to the advent of computers and electronic devices and the advancement of technology. However, analysis of this data requires new technology as the earlier designed traditional tools and techniques are not sufficient. There is an urgent need for innovative methods and technologies to resolve issues and challenges. Soft computing approaches have proved successful in handling voluminous data and generating solutions for them. This chapter focuses on basic concepts of big data along with the fundamental of various soft computing approaches that give a basic understanding of three major soft computing paradigms to students. It further gives a combination of these approaches namely hybrid soft computing approaches. Moreover, it also poses different applications dealing with big data where soft computing approaches are being successfully used. Further, it comes out with research challenges faced by the community of researchers.

scholarly journals Big Data as a Source for Official Statistics

2015 ◽  
Vol 31 (2) ◽  
pp. 249-262 ◽  
Author(s):  
Piet J.H. Daas ◽  
Marco J. Puts ◽  
Bart Buelens ◽  
Paul A.M. van den Hurk
Keyword(s):  
Big Data ◽  
High Frequency ◽  
Electronic Devices ◽  
Point Of View ◽  
Data Sources ◽  
The Internet ◽  
Official Statistics ◽  
Daily Lives ◽  
Media Messages ◽  
Loop Detection

Abstract More and more data are being produced by an increasing number of electronic devices physically surrounding us and on the internet. The large amount of data and the high frequency at which they are produced have resulted in the introduction of the term ‘Big Data’. Because these data reflect many different aspects of our daily lives and because of their abundance and availability, Big Data sources are very interesting from an official statistics point of view. This article discusses the exploration of both opportunities and challenges for official statistics associated with the application of Big Data. Experiences gained with analyses of large amounts of Dutch traffic loop detection records and Dutch social media messages are described to illustrate the topics characteristic of the statistical analysis and use of Big Data.

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