In E-Commerce application, the Reputation based trust models are widely used. To allocate
ranks to the sellers feedback ratings and comments gathered together. We proposed a …

Distributed database plays an important role in business environment. The major problem
that we face in normal database is that failure at one point means overall failure, but in …

This paper represents a new method to classify human or non-human objects from the
image and video sequences. A clear detection is essential for such kind of classification. The …

Dhaka University of Engineering & Technology, Gazipur Office of the Director (Planning &
Development) Invitation for Ten Page 1 Dhaka University of Engineering & Technology …

In this paper, we try to look into the possibility to make the experiment “Take-away” rather
than convensional “Dine-In” lab. One of the Embedded System Design lab experiment for …

Data clustering can be considered as a guided classification of patterns into groups,
popularly known by the term clusters. The problem of clustering is represented by different …

Concentric circles fitting is a challenge task since the nonlinear fitting problem needs to find
out the implicit relationship between the noisy measurement data points and the unknown …

In this paper, we propose an hybrid clustering based classification algorithm based on mean
approach to effectively classify to mine the ordered sequences (paths) from weblog data in …

Stated informally, the k-means procedure consists of simply starting with k groups each of
which consists of a single random point, and thereafter adding each new point to the group …

Multiple camera systems may be divided into multiple overlapping and non-overlapping
camera systems. Both are widely used for image and video analysis tasks, object analysis …