:heart:AN ALGORITHM FOR LABELING A TREE:heart:

KOH KHEE MENG AND TAY ENG GUAN

Abstract. An algorithm is described for labeling the vertices of a tree. A tree can then be determined by the collection of labels of its vertices, listed in lexicographic order.


1. Introduction

The notion of distance degree sequences of graphs was studied by Randic for the purpose of distinguishing chemical isomers by their graph structures. Other sequences for this purpose have also been proposed and discussed. The objective and hope is to deve ....etc

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Abstract
Nonnegative matrix factorization (nmf) is a powerful and well-established technique in data mining. We generalize nmf signi_cantly by introducing several new and rich formulations for sparse nonnegative matrix factorization (snmf). Our formulations are substantially more general than previously studied snmf problems. In particular, we model sparsity via constraints and regularizers, for which we describe a variety of concrete choices of sparsity tuning functions. To solve snmf, we develop convergent and computationally e_cien ....etc

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SEMINAR ON OPTICAL BURST SWITCHING (OBS)

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ABSTRACT
Optical Burst Switching is a promising hybrid approach between coarse grain optical circuit switching and fine grain optical packet switching. burst switching (OBS) is proposed as a way to streamline both protocol and hardware in building the future generation Optical Internet. Byleveraging the attractive properties of optical communications and at the same time, taking into account its limitations, OBS combines the best of optical circuit switching and packet/c ....etc

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Abstract
Nonnegative matrix factorization (nmf) is a powerful and well-established technique in data mining. We generalize nmf signi_cantly by introducing several new and rich formulations for sparse nonnegative matrix factorization (snmf). Our formulations are substantially more general than previously studied snmf problems. In particular, we model sparsity via constraints and regularizers, for which we describe a variety of concrete choices of sparsity tuning functions. To solve snmf, we develop convergent and computationally e_cien ....etc

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MOTION SEGMENTATION AND MEANSHIFT ASSISTED CONTOUR REFINEMENT FOR AIRBORNE VIDEO
Ratheesh K
Supriya Rao
Santhosh Kumar G
Cochin University of Science and Technology
ABSTRACT
This paper presents methods for moving object detection in airborne video surveillance. The motion segmentation in the above scenario is usually difficult because of small size of the object, motion of camera, and inconsistency in detected object shape etc. Here w ....etc

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presented by:
Shige Wang
Kang G. Shin


Task Construction for Model-Based Design of Embedded Control Software
Introduction
• large embedded control systems
• problem : running such complex software with stringent timing constraints on a resource limited platform
• systematic and automatic construction of runtime tasks from software design models.
• Difficulty :
• transformation of a model in one model-of-computation (MoC) to a model in another while preserving the properties of the original mode ....etc

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hello friend,


please send any ppt on recent trends on algebra for presentation.
Thanking you ....etc

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Submitted By
Saurabh Singhal
Ramandeep Singh


ABSTRACT
Classical linear image restoration techniques assume that the linear shift invariant blur, also known as the point - spread function (PSF), is known prior to restoration. In many practical situations, however, the PSF is unknown and the problem of image restoration involves the simultaneous identification of the true image and PSF from the degraded observation. Such a process is referred to as blind deconvolution. This paper presents ....etc

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ABSTRACT
Data compression is the technique of converting an input data stream or the original data into another data stream which is shorter in length. There are many known methods for data compression. They are based on different ideas and are suitable for different types of data. But they all have the same principle that they compress data by removing the redundancy in the original data. Otherwise data compression can be looked up on as a change in representation from inefficient to efficient form.

INTROD ....etc

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Binary and Mixed-Integer Programming

The general branch and bound approach described in the previous chapter can be customized forspecial situations. This chapter addresses two special situations:
when all of the variables are binary (known as “Binary Integer Programming” or BIP),when some or all of the variables are integer-valued and the objective function and all of the constraints are linear (known as “Mixed Integer Programming”, MIP, or “MixedInteger Linear Programming”, MILP).
Binary Integer Programming
I ....etc

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Presented By...
Dipak Kumar Samal


Introduction
 The integration of heterogeneous networks is a trend of Fourth Generation (4G) systems. But with more integrating network technologies, bandwidth management is more complicated.
 This paper proposes a bandwidth management method, called Bandwidth Management and Disposition (BMD).
 The BMD calculates the Reword Point (RP) to quantify the Mobile Host's (MH) requests, and calculates the Upgrade Order (UO) or Degrade Order (DO) to quant ....etc

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