Research paper on E-Learning application design features: Using cloud computing & software engineering approach

Author(s):  
M. R. M. Veeramanickam ◽  
M. Mohanapriya
2015 ◽  
Vol 8 (2) ◽  
pp. 100-105 ◽  
Author(s):  
Shadi Aljawarneh ◽  
Bassam Alshargabi ◽  
Sofyan Hayajneh ◽  
Ayad Imam

2020 ◽  
Vol 8 (5) ◽  
pp. 3521-3525

Water is critical part of the human life. In most of the developing nation, water pollution is one of the bigger mess. These issues can be handled strictly by the Government organization, by implementing tougher action rules to the industries, were the water are released without any proper treatment. Where each industries (or) smart cities, should take up self-initiative responsibility for proper treatment of the polluted out flow water. In our research paper, we are not focusing on the wider area of the water pollution; our focus is limited within the smart cities vehicle washing garages. In very smart cities, were a regular multiple vehicles washing is done in the garage, our research paper will focus on the out flow of the populated water from these vehicle washing garages. Our design and implantation process is simpler and straightforward approach. Were we will monitor of the water quality; and how much level of the water is populated, and it requires at what level of the treatment. These process can be easily automated using the multiple IOT (internet of things) based sensors, the data can be streamed into the Big Data lake (or) it can be directly pushed into the cloud computing services for generating the real time graphs and analyses report instantly. These data collected in the Big Data lake (or) cloud computing services, can be used for detail analyses for research purpose. We will incorporate the block chain concept to keep track of the smart garage location address and the detail information of the number of garage in the smart cities details in the form of the blocks.


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