scholarly journals Internet of Things in Marine Environment Monitoring: A Review

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1711 ◽  
Author(s):  
Guobao Xu ◽  
Yanjun Shi ◽  
Xueyan Sun ◽  
Weiming Shen

Marine environment monitoring has attracted more and more attention due to the growing concern about climate change. During the past couple of decades, advanced information and communication technologies have been applied to the development of various marine environment monitoring systems. Among others, the Internet of Things (IoT) has been playing an important role in this area. This paper presents a review of the application of the Internet of Things in the field of marine environment monitoring. New technologies including advanced Big Data analytics and their applications in this area are briefly reviewed. It also discusses key research challenges and opportunities in this area, including the potential application of IoT and Big Data in marine environment protection.

Biotechnology ◽  
2019 ◽  
pp. 1967-1984
Author(s):  
Dharmendra Trikamlal Patel

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.


2016 ◽  
Vol 101 ◽  
pp. 63-80 ◽  
Author(s):  
M. Mazhar Rathore ◽  
Awais Ahmad ◽  
Anand Paul ◽  
Seungmin Rho

2019 ◽  
Vol 01 (01) ◽  
pp. 24-38 ◽  
Author(s):  
Suma V

The developing nations requires to have sustainable developments in the industries to have new product development and continuous improvement in the social and economic levels paving way for the customer satisfaction. The Big data and the Internet of things are innovative technologies that have made their separate stand in the industrial sector of manufacturing and providing competitive edge to the companies. So the combining of two technologies would multiply anticipation and would create way for the enhanced productivity by satisfying the global needs of the business. Further, the internet of thing along with the big data analytics is also expected to provide with the enhanced security provision, quality of process and products with reduced production down time and financial risk. So the paper proposes the big data and IoT role in the industrial sector and evaluates its performance by analyzing the impacts of the big data and the internet of things in the industry to have sustainability in production process. The proposed framework also analyses the potential applications and the key advantages offered by the integration of the internet of things and the big data.


Author(s):  
Dharmendra Trikamlal Patel

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.


Sign in / Sign up

Export Citation Format

Share Document