Smart Home Energy Visualizer: A Fusion of Data Analytics and Information VisualizationVisualiseur d'énergie pour maison intelligente : Une fusion de l'analyse de données et de la visualisation d'informations

2022 ◽  
pp. 1-11
Author(s):  
Abdelkareem Jaradat ◽  
Hanan Lutfiyya ◽  
Anwar Haque
Keyword(s):  
Data Analytics ◽  
Smart Home

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.

FireDS-IoT: A Fire Detection System for Smart Home Based on IoT Data Analytics

2018 ◽  
Author(s):  
Sourav Kumar Bhoi ◽  
Sanjaya Kumar Panda ◽  
Biranchi Narayan Padhi ◽  
Manash Kumar Swain ◽  
Balabhadrah Hembram ◽  
...  
Keyword(s):  
Data Analytics ◽  
Smart Home ◽  
Detection System ◽  
Fire Detection ◽  
Home Based ◽  
Fire Detection System

A smart home energy management system using IoT and big data analytics approach

2017 ◽  
Vol 63 (4) ◽  
pp. 426-434 ◽  
Author(s):  
A.R. Al-Ali ◽  
Imran A. Zualkernan ◽  
Mohammed Rashid ◽  
Ragini Gupta ◽  
Mazin Alikarar
Keyword(s):  
Big Data ◽  
Energy Management ◽  
Management System ◽  
Data Analytics ◽  
Smart Home ◽  
Big Data Analytics ◽  
Energy Management System ◽  
Home Energy Management ◽  
Home Energy Management System

scholarly journals A Smart Home Automation using IOT & Data Analytics Approach

IJARCCE ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 162-167
Author(s):  
Nikesh Aote ◽  
Tejas Belsare ◽  
Shivam Giradkar
Keyword(s):  
Data Analytics ◽  
Smart Home ◽  
Home Automation

scholarly journals Big Data and Personalisation for Non-Intrusive Smart Home Automation

2021 ◽  
Vol 5 (1) ◽  
pp. 6
Author(s):  
Suriya Priya R. Asaithambi ◽  
Sitalakshmi Venkatraman ◽  
Ramanathan Venkatraman
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Smart Home ◽  
Big Data Analytics ◽  
Cost Effective ◽  
Smart Devices ◽  
Home Automation ◽  
Open Standard ◽  
Iot Devices ◽  
And Control

With the advent of the Internet of Things (IoT), many different smart home technologies are commercially available. However, the adoption of such technologies is slow as many of them are not cost-effective and focus on specific functions such as energy efficiency. Recently, IoT devices and sensors have been designed to enhance the quality of personal life by having the capability to generate continuous data streams that can be used to monitor and make inferences by the user. While smart home devices connect to the home Wi-Fi network, there are still compatibility issues between devices from different manufacturers. Smart devices get even smarter when they can communicate with and control each other. The information collected by one device can be shared with others for achieving an enhanced automation of their operations. This paper proposes a non-intrusive approach of integrating and collecting data from open standard IoT devices for personalised smart home automation using big data analytics and machine learning. We demonstrate the implementation of our proposed novel technology instantiation approach for achieving non-intrusive IoT based big data analytics with a use case of a smart home environment. We employ open-source frameworks such as Apache Spark, Apache NiFi and FB-Prophet along with popular vendor tech-stacks such as Azure and DataBricks.

Privacy-preserving data analytics in cloud-based smart home with community hierarchy

2017 ◽  
Vol 63 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Ying-Tsung Lee ◽  
Wei-Hsuan Hsiao ◽  
Yan-Shao Lin ◽  
Seng-Cho T. Chou
Keyword(s):  
Data Analytics ◽  
Smart Home ◽  
Privacy Preserving

scholarly journals Smart Home Surveillance System using IoT with an Efficient Data Analytics

2019 ◽  
Vol 8 (6S) ◽  
pp. 518-522
Keyword(s):  
Monitoring System ◽  
Surveillance System ◽  
Data Analytics ◽  
Smart Home ◽  
Monitoring Systems ◽  
Know How ◽  
Allocation Process ◽  
Cloud Resource ◽  
Efficient Data ◽  
Resource Allocation Process

Security in our daily life became one of the basic need for all of us now a days. Drastic growth of the technology results sophisticated life, and other side directly or indirectly it can be applied to save one’s life and to safeguard the properties we earned .But we should know how to use the technology. Home burglary and crime is one of the major problem, when we are not in our home. The whole movable asserts may be taken by thieves because of lake of monitoring systems in our home when gone for out station. There may be possibility of losing the whole property, which we earned for our better future. So we need an effective monitoring system in our home which may be enabled the above said situation. There are so many monitoring systems are available for the same scenario, but In this paper we propose a new efficient monitoring system with dynamic cloud resource allocation process and improved data analytics which gives most accurate results

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