GUIDED BY:
Ms. SUNITA PRASAD
C-DAC NOIDA

PRESENTED BY:
FAISAL SIDDIQUI
MTECH(CSE) 3rd Sem




OBJECTIVE
To study the different types of Scheduling algorithms in WiMAX.

To Analysis the QOS of different types of Scheduling algorithms.

To purpose a hybrid Scheduling algorithm for improving the QOS.

Opnet Workflow

OPNET MODELER is a network simulation tool , which provides application management software.

Project editor

Opnet s Editors
Network Models
R ....etc

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i am need of multiobjective ant colony algorithm, firefly algorithm, bat algorithm ....etc

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Analysis and Comparison of 1G , 2G , 3G ,4G and 5G Telecom Services

Present Status of Telecom Services
The telecommunication service in World had a great leap within a last few year. . 6 billion people own a mobile phones so we are going to analyze the various generations of cellular systems as studied in the evolution of mobile communications from 1st generation to 5th generation .Now almost all the service providers as well as the customers seek for availing these 3G and 4G services. We can analyze that this could be due t ....etc

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Comparison and Contrast between the OSI and TCP/IP Model



Introduction

This presentation would discuss some comparison and contrast between the 2 main reference models which uses the concept of protocol layering.

Open System Interconnection Model (OSI)
Transport Control Protocol /Internet Protocol (TCP/IP)

The Session Layer

The Session layer permits two parties to hold ongoing communications called a session across a network.
Not found in TCP/IP model
In TCP ....etc

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In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis, the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between the ....etc

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PRESENTED BY
ALIM AHMED ANSARI
GURNINDER KAUR AURORA
PRASANNA DUBEY
KHUSHBOO KOSIA
VANDANA LAISHRAM
POONAM Y.MAHANGARE
PURAV PAREKH
VINAY THAKKAR
VISHAL THALI


RETAIL IMPACT . ON THE UNORGANISED SECTOR.
COMPARISON STUDY BETWEEN LIFESTYLE AND LINKING ROAD

INTRODUCTION
India is witnessing changing life styles, increased incomes, the demographic variabilities and vibrant democracy. Indian retailing is expanding. The industry is playing vital role in the economic growth of the country. The c ....etc

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Marked Categories : ant colony algorithm source code java, a java code for ant colony systems using in job scheduling, free code job scheduling with ant colony, grid scheduling algorithms java implementation, job scheduling genetic algorithm, job scheduling using ant colony algorithm java project, project in java for job scheduling in grid, ant colony algorithm job scheduling grid computing,

Marked Categories : ant colony algorithm source code java, a java code for ant colony systems using ....etc

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ABSTRACT
To meet the demanded bandwidth requirements of future optical communication networks, more dynamism,scalability and automatism will need to be provided, which will require, as well, new control plane designs to respond to network changes very rapidly. In this work, we propose the use of an ant colony optimization (ACO) algorithm to support the routing and wavelength assignment in wavelength continuity constraint optical burstswitched networks. The main advantage of the protocol is its distributed nature, which provides higher survivab ....etc

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Communication is going wireless with the upsurge of smart mobile devices such as laptops, cellular phones, PDA, tablets etc. In order escape traps of wires and to stream data wirelessly among these devices, a number of protocols have been formulated such Bluetooth, Wi-Fi, NFC etc. Using these technologies users can exchange almost all sorts of files at high speeds. The speed of data transfer is not a major concern and there is no limit on data size exchanged. Though used for a lot of similar applications, these data exchange protocols have sign ....etc

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A Comparison of Genetic Algorithm & Neural Network (MLP) In Patient Specific Classification of Epilepsy Risk Levels from EEG
Signals IEE- MATLAB

Abstract This paper is aimed to compare the performance of a
Genetic Algorithm (GA) and Multi- Layer Perceptron (MLP)
Neural network in the classification of epilepsy risk level from
Electroencephalogram (EEG) signal parameters. The epilepsy risk
level is classified based on the extracted parameters like energy,
variance, peaks, sharp and spike waves, duration, events and covariance ....etc

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