The technique of image compression using Iterative Function System IFS is known as fractal image compression An extension of IFS theory is called as Partitioned or local Iterative Function System PIFS for coding the gray level images The theory of PIFS appears to be di erent from that of IFS in the sense of application domain Assuming the theory of PIFS is same as that of IFS several techniques...

Standard fractal image compression, proposed by Jacquin[1], is based on IFS (Iterated Function Systems) defined in R. This modelization implies restrictions in the set of images being able to be compressed. These images have to be self similar in R. We propose a new model, the projected IFS, to approximate and code grey level images. This model has the ability to define affine IFS in a high dim...

This paper presents an analysis of the geography of the booming ‘Islamic financial services’ (IFS) sector, which provides a host of financial services based on Islamic religious grounds. The relevance of such an analysis is discussed against the conceptual backdrop of the world city network literature. It is argued that a focus on the globalization of the IFS sector may provide an alternative t...

This paper proposes an iterative improvement approach for solving the Resource Constraint Project Scheduling Problem with Time-Windows (RCPSP/max), a well-known and challenging NP-hard scheduling problem. The algorithm is based on Iterative Flattening Search (IFS), an effective heuristic strategy for solving multi-capacity optimization scheduling problems. Given an initial solution, IFS iterati...

In this paper, we introduce Interpolative Boolean algebra (IBA) as a suitable algebra for intuitionistic fuzzy sets (IFSs). IBA is [0,1]-valued realization of Boolean algebra, consistent with Boolean axioms and theorems. IFS theory takes into account both membership and non-membership function, so it can be viewed as a generalization of the traditional fuzzy set theory. We propose a realization...

The equivalence between the interval-valued fuzzy set (IVFS) and the intuitionistic fuzzy set (IFS) is exploited to study linear programming problems involving interval uncertainty modeled using IFS. The non-membership of IFS is constructed with three different viewpoints viz., optimistic, pessimistic, and mixed. These constructions along with their indeterminacy factors result in S-shaped memb...

Access to remote IT services through identity federations (IFs) has solid technical foundations such as the Security Assertion Markup Language (SAML). However, reliable delegated user authentication and authorization also pose organizational challenges regarding the quality management of user data. Level of Assurance (LoA) concepts have been adapted and applied to IFs, but their inhomogeneous p...

connector proteins have been discovered that associate Elaine Fuchs* and Yanmin Yang with multiple cytoskeletal networks, integrating old Howard Hughes Medical Institute functions and creating new ones. As the roles of these Department of Molecular Genetics connectors unravel, it has become increasingly clear and Cell Biology that they are tailored to suit the tissue-specific needs The Universi...

Selecting useful and informative features to classify text is not only important to decrease the size of the feature space, but as well for the overall performance and precision of machine learning. In this study we propose a new feature selection method called Informative Feature Selector (IFS). Different machine learning algorithms and datasets have been utilised to examine the effectiveness ...

We investigate the use of iterated function system (IFS) models for data analysis. An IFS is a discrete dynamical system in which each time step corresponds to the application of one of a finite collection of maps. The maps, which represent distinct dynamical regimes, may act in some predetermined sequence or may be applied in random order. An algorithm is developed to detect the sequence of re...