The effort invested in a software project is probably one of the most important and most analyzed variables in recent years in the process of project management. The limitation of algorithmic effort prediction models is their inability to cope with uncertainties and imprecision surrounding software projects at the early development stage. More recently attention has turned to a variety of machi...

The k-nearest neighbours (kNN) is a simple but effective method for classification. Its major drawbacks are (1) low efficiency, and (2) dependency on the selection of a “good value” for k. In this paper, we propose a novel similarity-based data reduction method (SBModel) together with three variants aimed at overcoming these shortcomings. Our method constructs a similarity-based model for the d...

Medical image mining is one of the most rewarding and challenging field of application in data mining and knowledge discovery. Soft computing is a consortium of methodologies that provides flexible information processing capability. Its aim is to exploit the tolerance for imprecision, uncertainty, approximate reasoning, and limited truth in order to achieve tractability, robustness, and low-cos...

Headshot portraits are a popular subject in photography but to achieve a compelling visual style requires advanced skills that a casual photographer will not have. Further, algorithms that automate or assist the stylization of generic photographs do not perform well on headshots due to the feature-specific, local retouching that a professional photographer typically applies to generate such por...

Systems integration, customization and component based development approach are of increasing attention. This trend facilitates the research attention to also focus on systems development methodologies. The availability of systems development tools, rapid change in technologies, evolution of mobile computing and the growth of cloud computing have necessitated a move toward systems integration a...

We propose to organize at SAC 2006 a track dedicated to the recent trends in the domain of geometric constraint solving (GCS) and automated, or computer aided, deduction in geometry (ADG). Geometric problems are within the heart of many theoretical studies and engineering applications. For instance a large amount of problems from geometric modeling, computer graphics, computer vision, computer ...

Embedded systems are now ubiquitous and ubiquitous computing is now getting embedded in our day-today lives. Such systems are cost and power sensitive. Various nanotechnologies will provide an excellent vehicle to reduce cost and power consumption, while still meeting performance constraints. Nanoscale device technologies, such as carbon nanotube transistors, nanowires, resonant-tunneling devic...

Service oriented computing is a new software engineering paradigm that represents a shift in software engineering and raises the abstraction level by grouping common business process functionality and exposing it as a service. SOA allows a rapid and low-cost application development through service composition. Existing widely used methodologies designed to support objectoriented development suc...

The e-commerce demands end-user systems that adhere to well-defined security policies. In this context Trusted Computing is a new security solution proposed by the Trusted Computing Group Trusted Computing (TC). It aims at providing a framework and effective mechanisms that allow computing platforms and a distributed system to gain assurance about each other’s integrity and trustworthiness. In ...