Lebanese University | Computer Science

The study described in this paper concerns natural object modeling in the context of uncertain, imprecise and inconsistent representation. We propose a fuzzy system which offers a global modeling of object properties such as color, shape,... more

The study described in this paper concerns natural object modeling in the context of uncertain, imprecise and inconsistent representation. We propose a fuzzy system which offers a global modeling of object properties such as color, shape, velocity, etc. This modeling makes a transition from a low level reasoning (pixel level), which implies a local precise but uncertain representation, to a high level reasoning (region level), inducing a certain assignment. So, we use fuzzy structured partitions characterizing these properties. At this level. each property will have its own global modeling. Then, these different models are merged for decision making. Our approach was tested with several applications. In particular, we show here its performance in the area of blood flow analysis from 3D color Doppler images in order to quantify and study the development of this flow. We present methods that detect and correct aliasing phenomenon, i.e. inconsistent information. At first, the flow space is partitioned into fuzzy sectors where each sector is defined by a center, an angle and a direction. In parallel, the velocity information carried by the pixels is classified into fuzzy classes. Then, by combining these two partitions, we obtain the velocity distribution into sectors. Moreover, for each found path (from the first sector to the last one), we locate and correct inconsistent velocities by applying global rules. After extracting some meaningful sector features, the fuzzy modeling, applied to the aliasing correction, makes it possible to www.elsevier.com/locate/artmed This work is part of a project that has been realized at the Laboratoire d'Informatique et d'Imagerie Industrielle of the University of La Rochelle in collaboration with the Consortium FISC: Fluide, Image, Signal Cardio-vasculaire (CHRU Poitiers, University of Poitiers and University of La Rochelle). (A. Shahin), michel.menard@univ-lr.fr (M. Ménard), michel.eboueya@univ-lr.fr (M. Eboueya) 0933-3657/00/$ -see front matter © 2000 Elsevier Science B.V. All rights reserved. PII: S 0 9 3 3 -3 6 5 7 ( 0 0 ) 0 0 0 4 2 -7 A. Shahin et al. / Artificial Intelligence in Medicine 19 (2000) 121-154 122 simplify and synthesize the blood flow direction.

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- by Ahmad Shahin and +1
  MICHEL MENARD
- •
- 8
  Engineering, Decision Making, Fuzzy Clustering, Artificial Intelligence in Medicine

The study described in this paper concerns natural object modeling in the context of uncertain, imprecise and inconsistent representation. We propose a fuzzy system which offers a global modeling of object properties such as color, shape,... more

The study described in this paper concerns natural object modeling in the context of uncertain, imprecise and inconsistent representation. We propose a fuzzy system which offers a global modeling of object properties such as color, shape, velocity, etc. This modeling makes a transition from a low level reasoning (pixel level), which implies a local precise but uncertain representation, to a high level reasoning (region level), inducing a certain assignment. So, we use fuzzy structured partitions characterizing these properties. At this level. each property will have its own global modeling. Then, these different models are merged for decision making. Our approach was tested with several applications. In particular, we show here its performance in the area of blood flow analysis from 3D color Doppler images in order to quantify and study the development of this flow. We present methods that detect and correct aliasing phenomenon, i.e. inconsistent information. At first, the flow space is partitioned into fuzzy sectors where each sector is defined by a center, an angle and a direction. In parallel, the velocity information carried by the pixels is classified into fuzzy classes. Then, by combining these two partitions, we obtain the velocity distribution into sectors. Moreover, for each found path (from the first sector to the last one), we locate and correct inconsistent velocities by applying global rules. After extracting some meaningful sector features, the fuzzy modeling, applied to the aliasing correction, makes it possible to www.elsevier.com/locate/artmed This work is part of a project that has been realized at the Laboratoire d'Informatique et d'Imagerie Industrielle of the University of La Rochelle in collaboration with the Consortium FISC: Fluide, Image, Signal Cardio-vasculaire (CHRU Poitiers, University of Poitiers and University of La Rochelle). (A. Shahin), michel.menard@univ-lr.fr (M. Ménard), michel.eboueya@univ-lr.fr (M. Eboueya) 0933-3657/00/$ -see front matter © 2000 Elsevier Science B.V. All rights reserved. PII: S 0 9 3 3 -3 6 5 7 ( 0 0 ) 0 0 0 4 2 -7 A. Shahin et al. / Artificial Intelligence in Medicine 19 (2000) 121-154 122 simplify and synthesize the blood flow direction.

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- by M. Eboueya and +1
  Ahmad Shahin
- •
- 8
  Engineering, Decision Making, Fuzzy Clustering, Artificial Intelligence in Medicine

The healthcare environment is generally perceived as being information rich yet knowledge poor. The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information.... more

Nowadays, and with the current progress in technologies and business sales, databases with large amount of data exist especially in Retail Companies. The main objective of this study is to reduce the complexity of the classification... more

Abstract: Nowadays, and with the current progress in technologies and business sales, databases with large amount of data exist especially in retail companies. The main objective of this study is to reduce the complexity of the... more

The healthcare environment is generally perceived as being information rich yet knowledge poor. The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not―mined‖ to discover hidden information. However,... more

Nowadays, and with the current progress in technologies and business sales, databases with large amount of data exist especially in Retail Companies. The main objective of this study is to reduce the complexity of the classification... more

This research provides a method for studying and visualizing different types of relationships in various worlds such as dictionaries and Web pages. As a first step, we identify different types of relationships between objects of the... more

This paper deals with the problem of providing assistance to a Bridge player using Artificial Intelligence techniques. In order to achieve this goal, we propose an approach that consists in making assumptions about the honor cards... more

In this paper, a study of the synonymy in a dictionary of verbs is presented and a new approach to solve the polysemy problem is proposed. More precisely, it is about dispatching verb synonyms in groups called " sense components " , each... more

This paper deals with the problem of providing assistance to a Bridge player using Artificial Intelligence techniques. In order to achieve this goal, we propose an approach that consists in making assumptions about the honor cards... more

This research provides a method for studying and visualizing different types of relationships in various worlds such as dictionaries and Web pages. As a first step, we identify different types of relationships between objects of the... more

2 Abstract: Model-to-model transformation is a critical activity in Model Driven Engineering. In this paper, we will classify the exi sting m odel transformation ap proaches and propose a set of criteria charact erizing different... more

Considering the theory of attribute grammars, we use logical formulas instead of traditional functional semantic rules. Following the decoration of a derivation tree, a suitable algorithm should maintain the consistency of the formulas... more

In this paper, a study of the synonymy in a dictionary of verbs is presented and a new approach to solve the polysemy problem is proposed. More precisely, it is about dispatching verb synonyms in groups called "sense... more

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- by Ioannis Parissis and +1
  Dima Hamdan
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Network-on-chip (NoC) is an on-chip communication methodology that has been proposed as an alternative to bus-based communication in order to cope with the increased complexity in embedded designs. This paper presents a method for... more

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- by Rana Farah
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- 8
  Computer Science, Computer Architecture, Embedded Systems, Mesh generation

Test time minimization for core-based designs is tightly integrated with wrapper design and TAM capacity. This paper presents a method to determine minimum SOC test schedules with wrapper design and TAM optimization based on simulated... more

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- by Rana Farah
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- 3
  Mathematics, Computer Science, System on Chip

System-On-Chip (SOCs) test minimization has received a lot of attention in the past few years. However, most recent work assumed flat hierarchy. This assumption is unrealistic especially in the case of non-mergeable legacy cores that have... more

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- by Rana Farah
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- 5
  System on Chip, Logic Design, Place and Route, Integrated Circuit Design

Computer Science

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