A Video-based Vehicle Detection and Classification System for Real-time Traffic Data Collection Using Uncalibrated Video Cameras



INTRODUCTION
Due to the considerable differences in performance, size, and weight between long vehicles (LVs)
and short vehicles (SVs), length-based vehicle classification data are of fundamental importance
for traffic operation, pavement design, and transportation planning. Highway Capacity Manual
(1) requires adjustments to heavy-vehicle volumes i ....etc

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Neural networks based on the supervised and unsupervised learning methodologies have been tested for their classification and clustering abilities in the normal as well as hostile conditions. A problem from the NMR (nuclear magnetic spectroscopy) was used as the test for this and it was found that the neural network based on both the paradigms fared better withou feature enhancement. The neural network tuning is the most difficult part in the connectionist pos approach and some suggestions from this side is incorporated to obtain optimum result ....etc

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power quality disturbances,classification,detection,mitigation using wavelet and SVM

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[email protected] ....etc

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WIRELESS INTRUSION DETECTION SYSTEMS (IDS) SOLUTION TO
WLAN THREATS
Presented By:
K R Patil 1 A A Sawant 2 P.D. Sheba Kezia Malarchelvi 3

1 Lecturer, BVCOEW, Pune, India, 2 Pune Institute of Engineering and Technolog, Pune, India, 3 Professor, J.J. College of Engg. & Tech., Tamilnadu,
ABSTRACT

Wireless technology is advancing and changing every day and its popularity is increasing. The biggest concern with wireless, however, has been security. Threats to wireless local area networks (WLANs) are nu ....etc

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test cases/about test cases for online intrusion intrusion alert aggregation with generative data stream modeling ....etc

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Kaushal Mittal 04329024
M.Tech I Year
Under the Guidance of Prof. Sunita Sarawagi
KReSIT, Indian Institute of Technology Bombay

Abstract

Classification and clustering techniques in data mining are useful for a wide variety of real time applications dealing with large amount of data. Some of the applications of data mining are text classification, selective marketing, medical diagnosis, intrusion detection systems. Intrusion detection system are software system for identifying the deviations from the normal be ....etc

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uml diagram for double guard intrusion detection in multi tier web application ....etc

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many approaches are used to protect the data as well as the networks from attackers. These are mainly security methods from password protected access up to firewalls which are used as per the needs. Many times these are not enough and the systems and networks are always under the thread. One way to make data more secure is using Intrusion Detection Systems (ISD) on critical systems. The ISDs work for early detection of attacks and make the recovery of lost or damaged data simpler. Many researchers are working ....etc

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Intrusion Prevention and Automated Response in Sachet Intrusion Detection System

An Intrusion Detection System (IDS) monitors computer systems and network traffic, analyzes the traffic to identify possible security breaches, and raises alerts. It is difficult for human users to analyze the alerts and take swift appropriate actions which gives the attacker enough opportunity to continue to carry out further attacks. It is therefore important to take some automated actions to stop the attack. Unlike intrusion detection system, which pas ....etc

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a fuzzy self constructing feature clustering algorithm for text classification full project documentation ? ....etc

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