Advancing Quantified-Self Applications Utilizing Visual Data Analytics and the Internet of Things

2018 ◽  
pp. 263-274 ◽  
Author(s):  
Dimitris Chousiadas ◽  
Andreas Menychtas ◽  
Panayiotis Tsanakas ◽  
Ilias Maglogiannis
Keyword(s):  
Internet Of Things ◽  
Data Analytics ◽  
The Internet ◽  
Quantified Self ◽  
Visual Data ◽  
Visual Data Analytics ◽  
The Internet Of Things

scholarly journals Privacy by design : principles as a foundation to a more secure Internet of Things

2021 ◽  
Author(s):  
Mohamad Oubai Al-Rejleh
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Personal Data ◽  
The Internet ◽  
Quantified Self ◽  
Everyday Objects ◽  
Late 21St Century ◽  
Frequency Identification ◽  
Internet Networks ◽  
The Internet Of Things

The Internet of Things (IoT) is a revolutionary concept that emerged in the late 21st century, whereby everyday objects such as household items, cars, and wearables, equipped with sensors and (Radio Frequency Identification) RFID chips, can communicate with the internet and to their physical surroundings. These chips allow the connected items to share information, and allow the user to collect information about his/her “quantified self”, measuring personal data such as habits of usage, lifestyle, and location through internet networks. IoT enabled devices are designed to collect, store, share, and analyze of highly personal data ubiquitously and in real time. However, with this new affordance of connectivity, comes a potential loss of privacy for users, as ever increasing sets of personal data are collected and tracked. As such, there is a pressing need for privacy considerations to be embedded within the early stages of design of connected devices and networks.

Big Data Analytics in Bioinformatics

Biotechnology ◽  
2019 ◽  
pp. 1967-1984
Author(s):  
Dharmendra Trikamlal Patel
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Annual Growth ◽  
Predictive Analysis ◽  
The Internet ◽  
Data Generation ◽  
Intelligent Devices ◽  
The Internet Of Things

Voluminous data are being generated by various means. The Internet of Things (IoT) has emerged recently to group all manmade artificial things around us. Due to intelligent devices, the annual growth of data generation has increased rapidly, and it is expected that by 2020, it will reach more than 40 trillion GB. Data generated through devices are in unstructured form. Traditional techniques of descriptive and predictive analysis are not enough for that. Big Data Analytics have emerged to perform descriptive and predictive analysis on such voluminous data. This chapter first deals with the introduction to Big Data Analytics. Big Data Analytics is very essential in Bioinformatics field as the size of human genome sometimes reaches 200 GB. The chapter next deals with different types of big data in Bioinformatics. The chapter describes several problems and challenges based on big data in Bioinformatics. Finally, the chapter deals with techniques of Big Data Analytics in the Bioinformatics field.

Cooperative Edge Computing of Data Analytics for the Internet of Things

2020 ◽  
Vol 6 (4) ◽  
pp. 1166-1179
Author(s):  
Apostolos Galanopoulos ◽  
Theodoros Salonidis ◽  
George Iosifidis
Keyword(s):  
Internet Of Things ◽  
Data Analytics ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Smart Monitoring and Controlling of COVID 19 using IOT, Big Data, Machine Learning

2020 ◽  
pp. 42-50
Author(s):  
Sonia Verma ◽  
Manoj Kumar Phadwas
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Early Warning System ◽  
Data Analytics ◽  
Disease Outbreaks ◽  
Warning System ◽  
Interconnected Systems ◽  
The Internet ◽  
Smart Sensor ◽  
The Internet Of Things

Our goal is to develop an environment to monitor and controlling a corona virus of 2019 (COVID-19) with I2OT i. e. Intelligent Internet of Things. Analytics have changed the way disease outbreaks are tracked and managed, hence saving lives. Using technology smart sensor, facial recognition and location, existing surveillance cameras to identify, trace, and monitor people that may have contracted the coronavirus. The Internet of Things, a network of interconnected systems and advances in data analytics, artificial intelligence and ubiquitous connectivity can help by providing an early warning system to curb the spread of infectious diseases.

Sign in / Sign up

Export Citation Format

Share Document