Abstract
Optical camouflage is a hypothetical type of active camouflage system. Optical Camouflage uses the Retro-reflective Projection Technology; a projection based augmented system, composed of a projector with a small iris and a retro reflective screen. The concept of optical camouflage is straightforward: to create the illusion of invisibility by covering an object with something that projects the scene directly behind that object. This system was conceived with the primary view in mind of concealing stationary or moving objects ....etc

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Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

Abstract:
Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behavior of strong groups. The goal is to enable the groups and their facilitators to see relevant aspects of the group s ....etc

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Motion and Feature Based Person Tracking
In Surveillance Videos



Abstract

This work describes a method for accurately
tracking persons in indoor surveillance video stream obtained
from a static camera with difficult scene properties including
illumination changes and solves the major occlusion problem.
First, moving objects are precisely extracted by determining
its motion, for further processing.

INTRODUCTION

Moving Objects Detection and tracking are widely
used low-level tasks in man ....etc

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Grouping Technique for Cooperative Spectrum Sensing in Cognitive Radios

Rizwan Akhtar, Adnan Rashdi and Abdul Ghafoor
Electrical Engineering Department, College of Signals, National University of Science & Technology, Pakistan


Abstract

Cognitive networks can potentially solve the
problems of spectrum scarcity by accommodating unlicensed
(secondary) users in under-utilized segments of the spectrum.
Spectrum sensing serves as the primary stimulus for a cognitive
radio and is vitally impor ....etc

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variables (e.g., customer loyalty) and on using cluster analysis and mixture models for segmentation. The data mining literature has provided various clustering algorithms for segmentation without focusing specifically on clustering customer transactions. Building on the notion that observable customer transactions are generated by latent behavioral traits, in this paper, we investigate using a pattern-based clustering approach to grouping customer transactions. We define an objective function that we maximize in order to achieve a good cluster ....etc

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Hierarchical Pattern-Based Clustering for Grouping Web Transactions

Abstract:
Grouping customer transactions into segments is important in order to obtain better understanding of customers pattern. Currently, the hierarchical pattern-based clustering has been used to group customer transactions into segments. However, the processing time is still high due to difference parameter used between two clusters. In this paper, the difference will be based on the different between the summations of each c ....etc

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1. Computation-Efficient Multicast Key Distribution
2. Trustworthy Computing under Resource Constraints with the DOWN Policy
3. Securing User-Controlled Routing Infrastructures
4. Credit Card Fraud Detection Using Hidden Markov Model
5. Temporal Partitioning of Communication Resources in an Integrated Architecture
6. Provably Secure Three Party Authenticated Quantum Key Distribution Protocols ....etc

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i want cloudetps source code
it's very good for database acid ....etc

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GHIC: A Hierarchical Pattern-based Clustering Algorithm for Grouping Web Transactions
IEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 9, Language: Java

Abstract: Grouping customer transactions into segments may help understand customers better. The marketing literature has concentrated on identifying important segmentation variables (e.g., customer loyalty) and on using cluster analysis and mixture models for segmentation. The data mining literature has provided various clustering algorithms for segmentation without focusin ....etc

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i need code for motion and feature based person tracking:angel::@:blush::s:dodgy::exclamation::heart::huh: ....etc

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