COMPUTE

The Optical Transpose Interconnection System (OTIS) based interconnection network has already gained popularity among researchers for achieving high performance computation. It has become one of the efficient models for optoelectronic parallel ...

A significant amount of energy consumption is now attributed to data centers due to their ever increasing numbers, size and power densities. Thus, there are efforts focused at making a data center more sustainable by reducing its energy consumption and ...

In this paper, we propose OP-TKC (Order Preserving Top K Closed itemsets) algorithm for mining top-k frequent closed itemsets. Our methodology visits the closed itemsets lattice in breadth first manner and generates all the top-k closed itemsets without ...

Approximate join processing serves a key role in many application areas such as data cleansing, data integration, text mining, and bio-informatics. There has been much research interest in approximate join processing based on the concept of an edit ...

To provide Service Level Agreement (SLA) in wireless cellular network the network provider needs to do resource management through call admission and channel allocation strategies. Also if the SLA is unsatisfactory it has to react rapidly to reinstate ...

Iris Recognition is a biometric tool, which has great emphasis in both research and practical applications. In this paper an Iris Recognition System using Directional Filter Bank (IRSDFB) is proposed. The normalized Iris is fragmented into three ...

The biometric system is used to identify a person depending on his physiological or behavioral characteristics. Signature verification is a commonly accepted biometric method and is widely used for banking transactions. In this paper, we propose Offline ...

We present a method, complete with case study, for capturing and managing the information stored in business transactions based on the widely used UBL. Where conventional wisdom would use a RDBMS-based approach, we use Topic Maps as the knowledge ...

A new technique for segmenting touching characters in upper zone of printed Gurmukhi script has been presented in this paper. The technique is based on the structural properties of the Gurmukhi script characters. Concavity and convexity of the ...

Generalized association rule mining plays a very important role in Knowledge discovery in Databases (KDD). Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules. In this paper, we ...

The existing reactive routing algorithms in Mobile Ad-hoc Networks (MANETs) generally send route request packet to all the neighbor nodes when it needs to find the destination. This greatly reduces the performance of network and consumes much of the ...

Normally, the web service discovery mechanisms in web-sites have a trade-off between being Quality-driven or transaction cost-driven As goals of our paper, we decide upon several factors including the above-mentioned Quality and Transaction cost factors ...

Software obfuscation or obscuring a software is an approach to defeat the practice of reverse engineering a software for using its functionality illegally in the development of another software. Java applications are more amenable to reverse engineering ...

In Mobile Ad-hoc Networks (MANETs) each node has a transmission radius and is able to send message to all of its neighbors that are located with in its radius. In reactive based routing algorithms such as Ad-hoc on demand Routing Algorithm (AODV) and ...

Neural Networks are being used for character recognition from last many years but most of the works were reported to English character recognition. Character recognition is one of the applications of pattern recognition, which has enormous scientific ...

In this paper, a novel Discrete Particle Swarm Clustering algorithm (DPSC) for data clustering has been proposed. The particle positions and velocities are defined in a discrete form and an efficient approach is developed to move the particles for ...

Use of semantic web models for representing expert knowledge about a domain as an ontology is becoming increasingly common. However, since these ontologies contain detailed domain information in a formal specification, it cannot be easily understood by ...

The composition of Web services is gaining a considerable momentum as an approach to the effective integration of distributed, heterogeneous and autonomous applications to build more sophisticated and value added services. Algorithms are needed to ...

Software applications and solutions as Software as a Service (SaaS) has been gaining momentum all over the world in recent times. In the SaaS context, applications are hosted by the vendor using the vendor's IT infrastructure. Most SaaS applications are ...

The spinning process is one of the important production processes in the textile industry. Yarn is created using Cotton Fibre on a rotor or ring spinning machine. The quality of resulting yarn is very important in determining their application ...

The business requirements are dynamic in nature. Identification of suitable business partners who can satisfy a set of guarantees "on demand" is a critical process. Selection of business partners is influenced by several parameters including maximizing ...

Bitmap indices are the preferred indexing structures for read only & high dimensional data in data warehouses and scientific databases. High cardinality attributes pose a new challenge in terms of having space efficient bitmap indices. Binning is a ...

In this paper, a methodology for mining and exploring all forms of negative association rules has been suggested. As the existing softwares do not provide any module to mine negative association rules directly and efficiently, the present research may ...

This paper describes upgrading a running high availability cluster while applications are still running. The whole software stack can be upgraded including operating system, cluster software, volume manager software, application software etc with almost ...

Named Entity Recognition and Classification (NERC) consist of identifying and labeling specific pieces of information like proper names from free-form textual data. There are primarily three approaches to named-entity extraction: hand-crafted rule based,...

In covert communication, Information hiding is rapidly gaining momentum. There are many sophisticated techniques being developed in steganography. There is a need of universal method to detect hidden image. We have proposed a Universal method to detect ...