Scientific and Technical Bulletin, Series: Electrotechnics, Electronics, Automatic Control and Computer Science

MODELLING THE LONGITUDINAL MOTION OF AN AIRCRAFT

Valentina Emilia BÄ‚LAÅž — 2015-02-25

The paper is making a short introduction into the field of the
aircraft modeling. A basic aircraft model is build, aiming to
obtain a simulation platform for different related control
algorithms and for further studies on the switching controllers
effects in avionics. A Matlab-Simulink implementation is
provided.

APPLYING THE CONSTANT TIME TO COLLISION CRITERION IN SWARM SYSTEMS

Marius BÄ‚LAÈ˜ — 2015-02-25

The paper is making a short introduction into the field of
the swarm intelligent robots and is proposing a new approach
for the self-organizing swarms, based on the criterion of the
constant time to collision. This criterion is imposing an optimal
distance between moving particles, such way that the times to
collision between particles are constant, for any speed. The same
time to collision is imposed to the whole swarm. The imposed
time to collision and therefore the distance gaps between the
particles can be adjusted. Such way each member of a moving
swarm can find by itself a position that is optimizing the
structure and the dimensions of the swarm, according to its
speed. A simulation is provided for a simple case: the Indian
run.

A NEW HEBBIAN-TYPE METHOD FOR SOFT DECISION METHOD

Cornel BARNA — 2015-02-25

This article presents an information decision method for
information provided by a recognition system composed by two
video cameras and two infrared cameras. From each of the
video and infrared cameras systems, geometric characteristics
are obtained which in are used information fusion. The decision,
for determining the label of the object captured in the images is
made using a hard type method and a soft type rule by
considering an original algorithm based on a modified Hebblaw.

THE PHASES OF AUTOMATIC CLASSIFICATION OF VEGETAL PRODUCTS THROUGH MACHINE VISION TECHNIQUES

Marius BUZERA — 2015-02-25

Shape, colour and size represent the main parameters of
vegetal products to assess with view to classifying them. These
parameters may also be turned to good account by the machine
vision techniques that proved to be applicable in several
domains. One can especially apply these techniques in the
inspection and analysis systems of industrial products where the
parameters vary according to very low limits.
Taking into account these facts one has tried to develop a
classification system of vegetal products based on machine
vision techniques, as well as on decisive algorithms belonging to
the artificial intelligence: neural networks and Fuzzy algorithms.
The phases of the classification process of vegetal products
together with a port of the soft applications developed as well as
some of the results obtained are presented in details.

FORMALIZATION OF POINT OF VIEW BY THE FUZZY SET THEORY

Solo RANDRIAMAHALEO — 2015-02-25

A point of view pv may bedefined as a couple pv =(D,) where D
is a set whose elements are called determinants and is a
mapping from D into[0,1]. The mathematical results in the
theory of fuzzy sets permit us to have many constructions of
different points of view. We can also compare two points of view
by introducing the notion of imbrication and dissimilarity.