Web toolkit: an agent based scalable search engine using cellular automata based classification for duly ranked retrieved data

Author(s):  
Anirban Kundu ◽  
Debajyoti Mukhopadhyay
2018 ◽  
Vol 46 (W1) ◽  
pp. W141-W147 ◽  
Author(s):  
Divyanshu Srivastava ◽  
Arvind Iyer ◽  
Vibhor Kumar ◽  
Debarka Sengupta

2014 ◽  
Vol 2 (1) ◽  
pp. 35
Author(s):  
Ade Jamal

Traffic simulation has been being an interesting research subject for transport engineer and scientist, mathematicians and informatics scientist for different point of view. Transport scientists study the traffic complexity and behaviour of traffic participants by using statistical experiment or simulation. The earlier approach was based on macroscopic model deducted from hydrodynamics kinematic wave analogy. Later on the microscopic model was introduced first by invoking cellular automata and then agent based model takes important role in the traffic simulation world. Most of microscopic model are based on a multi-grid element topography model which is a natural environment of cellular automata. Just recently a software engineer started an ambitious work to develop a multipurpose framework for complex traffic simulation. The ingenious idea is to replace the traditional grid based element topography with a continuous two dimensional one from which a region of traffic road or street is built up. Traffic participant is modelled as agent whose physical properties such as its coordinate position, speed, and direction are governed by the kinematic Newtonian law. This article will present this new concept and show how the simple movement of lane changing model that is very well known from the beginning era of traffic simulation become a quite complex movement in the new continuous topography


Author(s):  
S. Venkatesan ◽  
C. Chellappan ◽  
Anurika Vaish

Content discovery is an important aspect in the context of ever-growing internet based information services and management. Especially multimedia content discovery is an essential aspect because it is an effective and efficient way to deliver the concept to the people or making them understands easily. For this multimedia content discovery, a well known search engine Google is using different kind of linking techniques. But the challenge arises, in case the multimedia content location is not available with the link, then it is not able to discover the content location. To overcome the above limitation, we propose this mobile agent based multimedia content discovery model. Here, mobile agent would be send to the location of the server where the content is available and bring it to the real world environment. Also with the advantage of the mobile agent, we can reduce the network traffic and also we can discover all the contents location.


2012 ◽  
Vol 247 ◽  
pp. 1-10 ◽  
Author(s):  
Adrialy L. Muci ◽  
Milko A. Jorquera ◽  
Ándres I. Ávila ◽  
Zed Rengel ◽  
David E. Crowley ◽  
...  

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