A Novel Educational Proposal and Strategies Toward Promoting Cloud Computing, Big Data, and Human–Computer Interaction in Engineering Colleges and Universities

Author(s):  
Prantosh K. Paul ◽  
Mrinal Kanti Ghose
Author(s):  
P.K. Paul ◽  
P. S. Aithal ◽  
A. Bhuimali

The use of Information Technology applications in almost all the sections of the society became one of the common practices in the society. Education, health, government, business, commerce, environment, and other areas, IT and Computing are plays a leading role. The Information Technology is also changing its shape and expanding its components every day. The latest in the list are Cloud Computing, Green Computing, Human Computer Interaction, Big-Data, Analytical Tools, and parallel computing. In the Government sectors, these technologies have valuable contribution and the magnitude of such contribution is increasing day by day. In the MGNREGA project, India, huge amount of information and computers are used and here these emerging technologies may be applied based on requirement and need. This paper discusses the potential applications of Cloud Computing, Big Data. Human Computer Interaction and Parallel Processing to improve the magnitude and speed of information processing in this rural employment project, which is officially termed as MGNREGA (Mahatma Gandhi National Rural Employment Guarantee Act, 2005).


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zhenghao Liu ◽  
Xi Zeng

AbstractBased on the emerging concept of “Hybrid Intelligence,” this paper aims to explore a new model of human–computer interaction, and deeply research on its development and application of Intelligent Service in the big data environment. It systematically explores the related academic concepts of hybrid intelligence, and establishes its architecture model. The development of hybrid intelligence is faced with cognitive differences, system fragmentation, human–machine digital divide, and other issues. Strengthening the interaction between cognition and perception can be the key to break through the bottleneck. The intelligent service system based on the hybrid intelligent architecture takes knowledge fusion as the core, and “cloud intelligent brain” is making it possible for the human–computer symbiosis driven by hybrid intelligence. The proposed advanced human–computer interaction mode constructs a hybrid intelligent architecture model, enriches the concept system of human–machine hybrid intelligence, and provides a new landing scheme for intelligent services based on complex scenes in the big data environment.


2022 ◽  
pp. 1578-1596
Author(s):  
Gunasekaran Manogaran ◽  
Chandu Thota ◽  
Daphne Lopez

Big Data has been playing a vital role in almost all environments such as healthcare, education, business organizations and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Big data consists of huge unstructured data that require advance real-time analysis. Thus, nowadays many of the researchers are interested in developing advance technologies and algorithms to solve the issues when dealing with big data. Big Data has gained much attention from many private organizations, public sector and research institutes. This chapter provides an overview of the state-of-the-art algorithms for processing big data, as well as the characteristics, applications, opportunities and challenges of big data systems. This chapter also presents the challenges and issues in human computer interaction with big data analytics.


Author(s):  
Gunasekaran Manogaran ◽  
Chandu Thota ◽  
Daphne Lopez

Big Data has been playing a vital role in almost all environments such as healthcare, education, business organizations and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Big data consists of huge unstructured data that require advance real-time analysis. Thus, nowadays many of the researchers are interested in developing advance technologies and algorithms to solve the issues when dealing with big data. Big Data has gained much attention from many private organizations, public sector and research institutes. This chapter provides an overview of the state-of-the-art algorithms for processing big data, as well as the characteristics, applications, opportunities and challenges of big data systems. This chapter also presents the challenges and issues in human computer interaction with big data analytics.


2014 ◽  
Vol 602-605 ◽  
pp. 3800-3802
Author(s):  
Tao Zhong ◽  
Hai Fang

In order to improve the performance of automobile of human-computer interaction,auto human-computer interaction intelligent and efficient to realize wireless communication and cloud computing server terminal, a combination of the three. The vehicle terminal using the embedded software and hardware design methods to achieve, cloud computing server based on cloud computing data interaction design methods, and finally meets the user interactive eight requirements, improve the user's comfort and safety.


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