Recent
Patents on Computer Science
ISSN: 1874-4796 - Volume 1, 2008
Recent Patents on Computer
Science
Volume 1, Number 3, November 2008
Contents
Epileptic Time Series Prediction: A Patent Perspective
Pp. 155-161
Fabio La Foresta, Nadia Mammone and
Francesco Carlo Morabito
[Abstract]
Knowledge Representation in Civil and
Structural Engineering Pp. 162-181
Valentina A. Salomoni, Carmelo E. Majorana
and Matteo Cristani
[Abstract]
A Survey of Fuzzy Quadratic Programming
Pp. 182-193
Carlos Cruz , Ricardo C. Silva , José
L. Verdegay and Akebo Yamakami
[Abstract]
Recent Patents on Color Demosaicing
Pp. 194-207
Sebastiano Battiato, Mirko Ignazio Guarnera,
Giuseppe Messina and Valeria Tomaselli
[Abstract]
Cost Based Termination Access Charges
in Mobile Sector: Some Considerations Pp.
208-218
Antonio Portilla-Figueras, Sancho Salcedo-Sanz,
Maurizio Naldi and Klaus Hackbarth
[Abstract]
Recent Background Modeling using Mixture
of Gaussians for Foreground Detection - A Survey Pp.
219-237
Thierry Bouwmans, Fida El Baf and
Bertrand Vachon
[Abstract]
Patent Selections Pp. 238-241
Abstracts
[Back to top]
Epileptic Time Series Prediction: A Patent
Perspective
Fabio La Foresta, Nadia Mammone and
Francesco Carlo Morabito
The field of epileptic seizure prediction is today highly
relevant not only for elucidating underlying brain dynamical
mechanisms but also from a technological (and medical industry)
perspective. In this paper, a bird’s eye view of the
state-of-the-art in this truly cross-disciplinary research
field is presented. It describes the chronological path of
the major results achieved in recent years. Once the relevant
background is depicted, some important patents concerning
epilepsy and, in general, brain disorders treatment are analysed,
paying special attention to a promising patent on seizure
prediction and control. The advantages of the proposed scheme
and some potential improvements on it are discussed giving
then a final look to the possible future developments.
[Back to top]
Knowledge Representation in Civil and Structural Engineering
Valentina A. Salomoni, Carmelo E. Majorana
and Matteo Cristani
In this paper we survey the literature of both Knowledge
Representation and Civil Engineering regarding the Applications
of Knowledge Representation and Reasoning Techniques to Civil
and Structural Engineering.
The reviewed works are analysed in terms of the scope, objectives
and approach employed in the investigation, and compared to
each other based on a preliminary analysis of the problems
posed by the application fields.
Recent patents considered here to complete the survey can
be efficiently used in engineering applications, e.g. land
development problems, engineering calculations or structural
engineering projects (through the generation of a fuzzy implication
operator).
The conclusions of the review are fundamentally three: (1)
the need for deeper investigations of the applicability of
Artificial Intelligence approaches to Civil and Structural
Engineering, especially in view of the new techniques and
methods lately developed; (2) the need for new systematic
analysis of the domain of Civil and Structural Engineering,
in particular from an ontological point of view; (3) the expectation
of the birth of a new discipline, as the junction of civil
and structural engineering with artificial intelligence, whose
specific AI point of view will be centred on Formal Ontology.
For this new discipline we propose the name of Structurotics,
that is intended to refer both to the novel applications based
upon the above mentioned trends, and to the consequent theoretical
investigations.
[Back to top]
A Survey of Fuzzy Quadratic Programming
Carlos Cruz , Ricardo C. Silva , José
L. Verdegay and Akebo Yamakami
Quadratic Programming (QP) represents a special class
of nonlinear programming where the objective function is quadratic
and constraints are linear. QP can also be viewed as a generalization
of linear programming. When real-world applications are considered,
vagueness appears in a natural way, and hence it makes perfect
sense to think of fuzzy quadratic programming problems. This
way of problem modeling is applied in an increasing variety
of practical fields.
In the first part of the paper, a general history and the
approach of fuzzy linear mathematical programming are introduced.
In the second part, the fuzzy quadratic mathematical programming
is presented. Finally, some techniques and numerical examples
using fuzzy quadratic mathematical programming are reviewed.
[Back to top]
Recent Patents on Color Demosaicing
Sebastiano Battiato, Mirko Ignazio Guarnera,
Giuseppe Messina and Valeria Tomaselli
Single-sensor technology is a popular imaging approach
used in image-enabled consumer electronic devices such as
digital still and video cameras, mobile phones, personal digital
assistants, and visual sensors for surveillance and automotive
applications. Cameras make use of an electronic sensor (Charge
Coupled Device - CCD - or Complementary Metal-Oxide-Semiconductor
- CMOS) to acquire the spatial variations in light intensity
and then use image processing algorithms to reconstruct a
color picture from the data provided by the sensor. Acquisition
of color images requires the presence of different sensors
for different color channels. Manufacturers reduce the cost
and complexity by placing a color filter array (CFA) on top
of a single image sensor, which is basically a monochromatic
device, to acquire color information of the true visual scene.
Typical imaging pipelines implemented in single-sensor cameras
are usually designed to find a trade-off between sub-optimal
solutions (devoted to solve imaging acquisition) and technological
problems (e.g., color balancing, thermal noise, etc.) in a
context of limited hardware resources. In this paper, we review
the existing patent solutions devoted to demosaicing and able
to generate a color image from a single-sensor reading. Demosaicing
solutions can be basically divided into four main categories:
inter-channel (spectral) correlation, edge based, pattern
based and iterative together with alternative techniques also
present in literature. Discussion about pro and cons of each
technique will be briefly reported.
[Back to top]
Cost Based Termination Access Charges in Mobile Sector: Some
Considerations
Antonio Portilla-Figueras, Sancho Salcedo-Sanz,
Maurizio Naldi and Klaus Hackbarth
Mobile telecommunications is nowadays one of the most
successful technological fields nowadays. Since its introduction
in the global market in the last decade of the previous century,
it became a very important contributor to the Gross Domestic
Product (GDP) of developed and developing countries. In this
market, a large number of powerful international telecommunications
companies, often in harsh competition among them, are making
huge investments, with the aim of achieving large revenues
accordingly. The search for profit maximization and the legacy
position of the former state-owned monopolistic companies
may generate conflicts and unfair practices (e.g. abuse of
monopolistic power, anti-competition strategies etc.). The
National Regulatory Authorities (NRA) of the different countries
have to arbitrate and establish market rules through regulatory
processes. In this paper, the foundations of telecommunications
regulation are reviewed, and the evolution of mobile call
termination charges is studied for three countries with very
different socio-economic and politic situations. The Long
Run Incremental Cost (LRIC) approach emerges as the method
of choice to evaluate costs and appears to lead to quite similar
results as markets enter the maturity stage.
[Back to top]
Recent Background Modeling using Mixture of Gaussians for
Foreground Detection - A Survey
Thierry Bouwmans, Fida El Baf and
Bertrand Vachon
Mixture of Gaussians is a widely used approach for background
modeling to detect moving objects from static cameras. Numerous
improvements of the original method developed by Stauffer
and Grimson [1] have been proposed over the recent years and
the purpose of this paper is to provide a survey and an original
classification of these improvements. We also discuss relevant
issues to reduce the computation time. Firstly, the original
MOG are reminded and discussed following the challenges met
in video sequences. Then, we categorize the different improvements
found in the literature. We have classified them in term of
strategies used to improve the original MOG and we have discussed
them in term of the critical situations they claim to handle.
After analyzing the strategies and identifying their limitations,
we conclude with several promising directions for future research.
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