The curvelet transform as a multiscale transform has directional parameters occurs at all scales, locations, and orientations. It is superior to wavelet transform in image processing domain. This paper analyzes the characters of DSA medical image, and proposes a novel approach for DSA medical image fusion, which is using curvelet information entropy and dynamic fuzzy logic. Firstly, the image w...

In a relational setting, the maximum entropy model of a set of probabilistic conditionals can be defined referring to the full set of ground instances of the conditionals. The logic FO-PCL uses the notion of parametric uniformity to ensure that the full grounding of the conditionals can be avoided, thereby greatly simplifying the maximum entropy model computation. In this paper, we describe a s...

Congestion leads to bandwidth degradation and, packet losses thereby causing retransmissions and higher energy drain rate by the nodes in Mobile Ad hoc Networks(MANET). So providing Quality of Service(QoS) and reducing congestion levels are some of the major issues to be addressed in these networks. However , use of appropriate congestion control measures is complicated due to the interdependen...

The present paper revolves around two argument points. As first, we have observed a certain parallel between the reliability of systems and the progressive disorder of thermodynamical systems; and we import the notion of reversibility/irreversibility into the reliability domain. As second, we note that the reliability theory is a very active area of research which although has not yet become a ...

A hybrid medical image segmentation framework (concentrating mainly on Magnetic Resonance Imaging and Computed Tomography head images) making use of information theory methods (image entropy, mutual-information-based registration), fuzzy logic and elements of atlas-based techniques is presented in the report. Information theory provides a way to create highly automated systems, while fuzzy logi...

Vladimir S. Lerner, Marina Del Rey, CA 90292, USA, [email protected] Abstract The Bayesian integral functional measure of entropy-uncertainty on trajectories of Markov multi-dimensional diffusion process is cutting off by interactive impulses (controls) [1]. The entropy fractions, satisfying minimum of each cutoff maximum, evolve in microprocess, superimposing and entangling the conjugated fra...

Determining a prior probability function via the maximum entropy principle can be a computationally intractable task. However one can easily determine — in advance of entropy maximisation — a list of probabilistic independencies that the maximum entropy function will satisfy. These independencies can be used to reduce the complexity of the entropy maximisation task. In particular, one can use t...

The principle of maximum entropy has proven to be a powerful approach for commonsense reasoning in probabilistic conditional logics on propositional languages. Due to this principle, reasoning is performed based on the unique model of a knowledge base that has maximum entropy. This kind of model-based inference fulfills many desirable properties for inductive inference mechanisms and is usually...

Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about distinctions, differences, and distinguishability, and is formalized as the distinctions of a partition (a pair of points distinguished by the partition). All the defini...

Electricity Power Consumption Forecasting (EPCF) plays an essential role in global electricity distribution systems that has a significant impact on the operation, control, and planning for production of electricity. Due to complexity, uncertainty consumption, especially when amount load consumed during different hours is not same, performing forecasting by using classical method inaccurate. To...