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5 Papers

Auction Model of P2P Interaction in Multi-Agent Software

Topics: Multi-Agent Systems; Agent Models and Architectures; SOA and Software Agents; Collective Intelligence; Auctions and Markets

Authors: Anton Ivaschenko 1 and Andrey Lednev 2

Affiliations: 1 Magenta Technology, Russian Federation , 2 Samara State Technical University, Russian Federation

Digital Object Identifier: 10.5220/0004329904310434

Proceedings of ICAART 2013, ISBN: 978-989-8565-38-9

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The paper describes one of the possible models of interaction management of active software agents in P2P network of the enterprise information space. The matrix form of enterprise management is being projected on the P2P network of interacting software components. It is proposed to study the problem of resource allocation using Auction model enhanced by the opportunity of its management by changing dynamical characteristics. The approach shows that the introduction of delays and accelerations allows to increase the efficiency of solving scheduling problems.
Collapse Button Related Ontology Subjects/Areas/Topics (14)
Agent Models and Architectures

Collective Intelligence

Multi-Agent Systems

Agents

Distributed and Mobile Software Systems

SOA and Software Agents

Artificial Intelligence

Enterprise Information Systems

Software Engineering

Artificial Intelligence and Decision Support Systems

Knowledge Engineering and Ontology Development

Symbolic Systems
Auctions and Markets

Knowledge-Based Systems

MAGENTA MULTI-AGENT SYSTEMS FOR DYNAMIC SCHEDULING

Topic: Multi-Agent Systems

Authors: Vyacheslav Andreev , Andrey Glashchenko , Anton Ivashchenko , Sergey Inozemtsev , George Rzevski , Petr Skobelev and Petr Shveykin

Affiliation: Magenta Technology Ltd, Russian Federation

Digital Object Identifier: 10.5220/0001659604890496

Proceedings of ICAART 2009, ISBN: 978-989-8111-66-1

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The document presents an overview of Magenta multi-agent solutions for real time scheduling and optimization of mobile resources. Brief survey on traditional scheduling methods, main principles of multi-agent approach, system architecture, functionality, industrial applications and perspectives are described. The multi-agent approach for dynamic scheduling gives opportunity to solve complex problems, react on events in real time, improve resource utilization and provide a number of other benefits.
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Agents

Enterprise Information Systems

Multi-Agent Systems

Artificial Intelligence

Knowledge Engineering and Ontology Development

Software Engineering

Artificial Intelligence and Decision Support Systems

Knowledge-Based Systems

Symbolic Systems
Distributed and Mobile Software Systems

NOVEL COMBINED TEMPLATE FOR AMPEROMETRIC BIOSENSORS WITH CHANGEABLE SELECTIVITY

Authors: Julija Razumiene 1 , Vidute Gureviciene 1 , Jurgis Barkauskas 2 , Virginijus Bukauskas 3 and Arunas Setkus 3

Affiliations: 1 Institute of Biochemistry, Lithuania , 2 Vilnius University, Lithuania , 3 Semiconductor Physics Institute, Lithuania

Digital Object Identifier: 10.5220/0001827604480452

Proceedings of Special Session AMMD 2009/BIOSTEC, ISBN: 978-989-8111- 64-7

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Present paper describes innovative approach in design of amperometric biosensors useful in various appli-cations. Original template of the electrodes has been prepared on a base of carbon nanotube support layer deposited on the polycarbonate membrane. Novel template and changeable enzyme layer give rise to creation of new family of biosensors acceptable for detection of wide range of carbohydrates. The morphology and electric properties of the constituent parts of the template electrode are characterized by scanning probe microscopy. The sensitivity, selectivity and stability are described for typical types of the biosensors.

RESPIRATORY SINUS ARRHYTHMIA IN 10 YEAR OLDS - Normal and Intrauterine Growth Restricted

Topic: Medical Signal Acquisition, Analysis and Processing

Authors: Taher Biala 1 , Fernando Schlindwein 2 , Michael Wailoo 2 and Michael Bankart 2

Affiliations: 1 Univeristy of Leicester, United Kingdom , 2 University of Leicester, United Kingdom

Digital Object Identifier: 10.5220/0001551505100513

Proceedings of BIOSIGNALS 2009/BIOSTEC, ISBN: 978-989-8111-65-4

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Frequency domain analysis of RR has been determined by three methods, autoregressive model (AR), Fast Fourier Transform (FFT) and Lomb periodogram for 10 min segments. The first two methods were done after resampling and the third method without resampling RR series of all 75 children. AR was used in this work, and RSA was identified at night time during sleep. The area of the RSA was calculated for every 10 min interval and compared to the overall area of the 10 min segment, then the average RSA of all segments was calculated, as well as the overall percentage of the RSA energy to the total area for the whole period of sleeping. This was done firstly for a sample of Normal and IUGR 10 year olds. Secondly for all the children under study, an independent t-test concluded that there is no significant difference between the IUGR and Normal (p=0.7467).
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Applications and Services

Biomedical Signal Processing

Medical Image Detection, Acquisition, Analysis and Processing
Biomedical Engineering

Computer Vision, Visualization and Computer Graphics

THE MASKLE: AUTOMATIC WEIGHTING FOR FACIAL ANIMATION - An Automated Approach the Problem of Facial Weighting for Animation

Topics: Animation Algorithms and Techniques; Facial Animation; Animation Systems

Authors: Alun Evans 1 , Marco Romeo 2 , Marcelo Dematei 2 and Josep Blat 3

Affiliations: 1 Barcelona Media, Spain , 2 Universitat Pompeu Fabra, Spain , 3 Interactive Tecnologies Group, Spain

Digital Object Identifier: 10.5220/0001753602330240

Proceedings of GRAPP 2009/VISIGRAPP, ISBN: 978-989-8111-67-8

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Facial animation of 3D characters is frequently a time-consuming and repetitive process that involves either skeleton-rigging or pose-setting for morph targets. A major issue of concern is the necessity to repeat similar tasks for different models, re-creating the same animation system for several faces. Thus there is a need for reusable methods and tools that allow the introduction of automation into these processes. In this paper we present such a method to assist in the process of facial rigging: the Maskle. Based upon the standard bone-weight linear skinning animation technique, the desired distribution of vertex-movement weights for facial animation is pre-programmed into a low-resolution, generic facial mask. This mask, or ‘Maskle’, is then semi-automatically overlaid onto a newly created face model, before the animation-weight distribution is automatically transferred from the Maskle to the model. The result is a weight-painted model, created semi-automatically, and available for the artist to use for animation. We present results comparing Maskle-weighted faces to those weighted manually by an artist, which were treated as the gold standard. The results show that the Maskle is capable of automatically weight-painting a face to within 1.58% of a manually weighted face, with a maximum error of 3.82%. Comparison with standard professional automatic weighting algorithms shows that the Maskle is over three times more accurate.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Animation Algorithms and Techniques

Animation Systems

Facial Animation
Animation and Simulation

Computer Vision, Visualization and Computer Graphics

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