We present methods and tools from the Soft Computing domain, which is used within the diagnostics and prognostics framework to accommodate imprecision of real systems. Soft Computing (SC) is an association of computing methodologies that includes as its principal members fuzzy, neural, evolutionary, and probabilistic computing. These methodologies enable us to deal with imprecise, uncertain dat...

Two of the major obstacles to achieve quantum computing (QC) are (i) scalability to many qubits and (ii) controlled connectivity between any selected qubits. Using Josephson charge qubits, here we propose an experimentally realizable method to efficiently solve these two central problems. Since any two charge qubits can be effectively coupled by an experimentally accessible inductance, the prop...

Bioinformatics, an area that has evolved in response to this deluge of information, can be viewed as the use of computational methods to handle biological data. It is an interdisciplinary field involving biology, computer science, mathematics and statistics to analyze biological sequence data, genome content & arrangement, and to predict the function and structure of macromolecules. Soft comput...

The paper examines the efficiency of soft computing techniques in structural optimization, in particular algorithms based on evolution strategies combined with neural networks, for solving large-scale, continuous or discrete structural optimization problems. The proposed combined algorithms are implemented both in deterministic and reliability based structural optimization problems, in an effor...

INTRODUCTION In this position paper I present a case for evaluation of context-aware computing systems and discuss some possibilities for evaluation of context-aware computing systems. Evaluation should serve two purposes: first it should enable the researchers to measure progress in a field; secondly, evaluation can help researchers better understand research issues and produce a more focused ...

Introduction This poster presents and characterises our work on accelerating a software radio astronomy correlator using reconfigurable computing (RC) hardware. Radio astronomy correlation is an embarrassingly parallel signal processing application, which is used heavily in radio astronomy for imaging and other astronomical measurements. Radio astronomy correlators typically operate on huge dat...

In this paper we briefly describe the challenges related to Serviceoriented computing (SOC). SOC is a novel architectural approach to building complex applications in terms of composition of simple services. A number of challenges arise from the need of coordinating the composed services. We describe approaches based on service orchestration and on service choreography. We also introduce coordi...

Benefits Management provides an established approach for decision making and value extraction for IT/IS investments and, can be used to examine cloud computing investments. The motivation for developing an upper ontology for Benefits Management is that the current Benefits Management approaches do not provide a framework for capturing and representing semantic information. There is also a need ...

This paper describes an approach for paraphrase detection in Malayalam sentences developed as part of FIRE 2016 Shared Task on Paraphrase detection in Indian Languages. The task of paraphrasedetection is finding a sentence with the same meaning of another sentence expressed using same or different words. This detection is done by a semantic approach which is language dependent. Individual words...