Mensageria: A Smart City Framework for Real-Time Analysis of Traffic Data Streams

2019 ◽  
pp. 59-73
Author(s):  
Marcos Roriz Junior ◽  
Rafael Pereira de Oliveira ◽  
Felipe Carvalho ◽  
Sergio Lifschitz ◽  
Markus Endler
Keyword(s):  
Real Time ◽  
Data Streams ◽  
Smart City ◽  
Traffic Data ◽  
Time Analysis ◽  
Real Time Analysis

scholarly journals The Metamorphosis (of RAM3S)

2021 ◽  
Vol 11 (24) ◽  
pp. 11584
Author(s):  
Ilaria Bartolini ◽  
Marco Patella
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Streams ◽  
Multimedia Data ◽  
Data Streaming ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Big Data Technologies ◽  
Big Data Streams ◽  
The One

The real-time analysis of Big Data streams is a terrific resource for transforming data into value. For this, Big Data technologies for smart processing of massive data streams are available, but the facilities they offer are often too raw to be effectively exploited by analysts. RAM3S (Real-time Analysis of Massive MultiMedia Streams) is a framework that acts as a middleware software layer between multimedia stream analysis techniques and Big Data streaming platforms, so as to facilitate the implementation of the former on top of the latter. RAM3S has been proven helpful in simplifying the deployment of non-parallel techniques to streaming platforms, such as Apache Storm or Apache Flink. In this paper, we show how RAM3S has been updated to incorporate novel stream processing platforms, such as Apache Samza, and to be able to communicate with different message brokers, such as Apache Kafka. Abstracting from the message broker also provides us with the ability to pipeline several RAM3S instances that can, therefore, perform different processing tasks. This represents a richer model for stream analysis with respect to the one already available in the original RAM3S version. The generality of this new RAM3S version is demonstrated through experiments conducted on three different multimedia applications, proving that RAM3S is a formidable asset for enabling efficient and effective Data Mining and Machine Learning on multimedia data streams.

scholarly journals Design and Implementation of the Sense Egypt Platform for Real-Time Analysis of IoT Data Streams

2016 ◽  
Vol 06 (04) ◽  
pp. 65-91 ◽  
Author(s):  
A. S. Rozik ◽  
A. S. Tolba ◽  
M. A. El-Dosuky
Keyword(s):  
Real Time ◽  
Data Streams ◽  
Time Analysis ◽  
Design And Implementation ◽  
Real Time Analysis

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

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