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Found 6278 publications

Context recognition in mobile robots cooperation using fuzzy signature

No authors available

Publication Name: International Conference on Theoretical and Mathematical Foundations of Computer Science 2010, TMFCS 2010

Publication Date: 2010-12-01

Volume:

Issue:

Page Range: 110-115

Description:

Robots cooperation means also to define the commune task. In order to understand their cooperation the robots must have complete knowledge about all possible states of the work or to understand the context by extract useful information from observation. Present paper focus on the second possibility. We propose a strategy of information extraction and context understanding based on an original data structure, the fuzzy signature and on a priori knowledge, the robot codebook. The paper starts by presenting the concept of the fuzzy signature and exemplify the idea of cooperation by context understanding.

Open Access: No

DOI: DOI not available

On wavelet based modeling of radio frequency circuits, parts and electromagnetic fiels

Publication Name: 2010 11th International Workshop on Symbolic and Numerical Methods Modeling and Applications to Circuit Design Sm2acd 2010

Publication Date: 2010-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Multiresolution or wavelet analysis is widely used in advanced data compression algorithms, and some approaches applied this technique in describing electromagnetic fields. The main goal of the application of MRA is its flexibility, i.e., since the details of the electromagnetic field are not distributed equally over different parts of the system, thus locally different resolution level can be applied. Wavelet based adaptive solution possibilities of differential equations of electromagnetic field are investigated in the followings. The adaptivity of the method means in this case, that the refinement level of the solution can be increased locally, if the accuracy needs it, during the calculations. ©2010 IEEE.

Open Access: Yes

DOI: 10.1109/SM2ACD.2010.5672288

Modeling of loss aversion in solving fuzzy road transport traveling salesman problem using eugenic bacterial memetic algorithm

Publication Name: Memetic Computing

Publication Date: 2010-12-01

Volume: 2

Issue: 4

Page Range: 259-271

Description:

The aim of the traveling salesman problem (TSP) is to find the cheapest way of visiting all elements in a given set of cities and returning to the starting point. In solutions presented in the literature costs of travel between nodes (cities) are based on Euclidean distances, the problem is symmetric and the costs are constant and crisp values. Practical application in road transportation and supply chains are often fuzzy. The risk attitude depends on the features of the given operation. The model presented in this paper handles the fuzzy, time dependent nature of the TSP and also gives solution for the asymmetric loss aversion by embedding the risk attitude into the fitness function of the bacterial memetic algorithm. Computational results are presented as well. © 2010 Springer-Verlag.

Open Access: Yes

DOI: 10.1007/s12293-010-0037-4

Representations of HRTFs using MATLAB: 2D and 3D plots of accurate dummy-head measurements

No authors available

Publication Name: 20th International Congress on Acoustics 2010, ICA 2010 - Incorporating Proceedings of the 2010 Annual Conference of the Australian Acoustical Society

Publication Date: 2010-12-01

Volume: 2

Issue:

Page Range: 1058-1066

Description:

Human Head-Related Transfer Functions describe the transmission from the free-field to the eardrums. HRTFs are measured on human subjects or on dummy-heads, characterized by the angle of incidence. The dummy-head measurement method allows the acquisition of data in high spatial resolution. Our setup provided HRTF data in 1 degree horizontal and 5 degrees elevational steps in different environmental settings. Spectral evaluation in spatial hearing research requires proper representation methods of detailed measurement data. Different 2D and 3D representation methods will be presented here, using different coordinate systems, color maps and additional filtering methods programmed under MATLAB. Figures are mainly helpful for HRTF analysis but MATLAB features allow other use for applications where directional characteristics, polar plots are required. Copyright© (2010) by the International Congress on Acoustics.

Open Access: No

DOI: DOI not available

Application of LPV type force model in vehicle crash dynamics

Publication Name: Proceedings of the 9th Wseas International Conference on Applications of Computer Engineering Ace 10

Publication Date: 2010-12-01

Volume: Unknown

Issue: Unknown

Page Range: 174-179

Description:

In the research field of vehicle crash mechanics one of the most important task is finding a model for the deformational force, which gives acceptable approximation, but doesn't need perfect knowledge about the parameters of the vehicle. The FEM based methods, which are applied in the engineering practice give good approximations, but they have extremely large computational complexity and need a large amount of data. On the other hand there exist simple force models, but they not approximate well in details the force-deflection curve. In this paper we introduce a force model for vehicle deformation based on the LPV-HOSVD paradigm, which well approximates the force during the deformational process and has acceptable complexity.

Open Access: Yes

DOI: DOI not available

Auditory representations of a graphical user interface for a better human-computer interaction

Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

Publication Date: 2010-12-01

Volume: 5954 LNCS

Issue: Unknown

Page Range: 80-102

Description:

As part of a project to improve human computer interaction mostly for blind users, a survey with 50 blind and 100 sighted users included a questionnaire about their user habits during everyday use of personal computers. Based on their answers, the most important functions and applications were selected and results of the two groups were compared. Special user habits and needs of blind users are described. The second part of the investigation included collecting of auditory representations (auditory icons, spearcons etc.), mapping with visual information and evaluation with the target groups. Furthermore, a new design method for auditory events and class was introduced, called "auditory emoticons". These use non-verbal human voice samples to represent additional emotional content. Blind and sighted users evaluated different auditory representations for the selected events, including spearcons for different languages. Auditory icons using environmental, familiar sounds as well emoticons are received very well, whilst spearcons seem to be redundant except menu navigation for blind users. © 2010 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-642-12439-6_5

Using multiple populations of memetic algorithms for fuzzy rule-base optimization

Publication Name: 11th IEEE International Symposium on Computational Intelligence and Informatics Cinti 2010 Proceedings

Publication Date: 2010-12-01

Volume: Unknown

Issue: Unknown

Page Range: 113-118

Description:

Evolutionary algorithms are an important branch of soft computing, being able to provide approximate solutions to problems in a reasonable amount of time. The underlying principle can be realized in an almost unlimited number of ways. This paper presents four main variants of evolutionary algorithms, and a method of running them in a topology consisting of multiple populations. The resources given to each population and migration are altered dynamically throughout the test, based on the effectiveness they show. Along with evolutionary methods, the solutions are also adjusted by gradient-based numerical optimization, in our case the Levenberg-Marquardt algorithm. These steps are added to the evolutionary processes as an extension, resulting in what are called memetic algorithms. The specific application for these methods here is optimizing fuzzy rule-bases, thereby making inference systems better at emulating a desired behavior, such as modeling a certain objective function. ©2010 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2010.5672264

Effect of topological defects on graphene geometry and stability

Publication Name: Nanotechnology Science and Applications

Publication Date: 2010-12-01

Volume: 3

Issue: 1

Page Range: 101-106

Description:

The effect of two basic topological defects, mitosis and the Stone-Wales defect, is studied in the graphene structure. The topological rules of the curvatures due to the occurrence of the defects in different arrangements are determined. Despite the fact that the causes and the probability of these topological defects are not known today, this theoretical work studies the distortions caused by the defects geometry and stability of the graphene structure. © 2010 Zsoldos, publisher and licensee Dove Medical Press Ltd.

Open Access: Yes

DOI: 10.2147/NSA.S13905

A remark on adaptive scheduling of optimization algorithms

Publication Name: Communications in Computer and Information Science

Publication Date: 2010-12-01

Volume: 81 PART 2

Issue: Unknown

Page Range: 719-728

Description:

In this paper the scheduling problem of optimization algorithms is defined. This problem is about scheduling numerical optimization methods from a set of iterative 'oracle-based' techniques in order to obtain an as efficient as possible optimization process based on the given set of algorithms. Statements are formulated and proven about the scheduling problem and methods are proposed to solve this problem. The applicability of one of the proposed methods is demonstrated through a simple fuzzy rule based machine learning example. © Springer-Verlag Berlin Heidelberg 2010.

Open Access: Yes

DOI: 10.1007/978-3-642-14058-7_74