Smart Traffic Lights: A First Parallel Computing Approach

2016 ◽  
Author(s):  
D. Souravlias ◽  
G. Luque ◽  
E. Alba ◽  
K. E. Parsopoulos
Keyword(s):  
Parallel Computing ◽  
Traffic Lights ◽  
Smart Traffic ◽  
Computing Approach

A parallel computing approach to genetic sequence comparison: The master-worker paradigm with interworker communication

1991 ◽  
Vol 24 (2) ◽  
pp. 152-169 ◽  
Author(s):  
Dean F. Sittig ◽  
David Foulser ◽  
Nicholas Carriero ◽  
George McCorkle ◽  
Perry L. Miller
Keyword(s):  
Parallel Computing ◽  
Sequence Comparison ◽  
Genetic Sequence ◽  
Computing Approach

scholarly journals Automated Pollution Detection System using IoT and AWS Cloud

2019 ◽  
Vol 8 (11) ◽  
pp. 3955-3960
Keyword(s):  
Mobile Application ◽  
Web Application ◽  
Detection System ◽  
Smart Cities ◽  
Traffic Monitoring ◽  
Traffic Lights ◽  
Pollution Detection ◽  
Smart Cars ◽  
Smart Traffic ◽  
The Web

Smart cities are one of the upcoming trends in the world. These smart cities include smart traffic light system, smart cars, smart homes, smart traffic monitoring system. As environmental pollution has become the major cause of various problems like climatic changes, improper irrigation methods, depletion of the ozone layer etc. “Automated Pollution Detection System using IoT and AWS Cloud” provides an architecture for integrating IoT and Cloud Computing and an application which is used to detect air pollution by fitting in arduino devices at public places like traffic lights, industrial areas, construction areas etc., and transferring the data using GSM modem to a cloud database server AWS RDS. The cloud server is linked with the EC2 instance (Ubuntu server) in order to publish the web application using EC2. Web Application which is created using Word press and a Mobile application using Android Studio. The Web application shows the value of pollutant at a particular place along with the map facility by using GPS in the Arduino. This is also linked to a mobile application which sends a push notification service (SNS) to our mobile application

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