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It is my privilege and a real honor to welcome you to the ECAI 2014 CONFERENCE, the sixth International Conference, on Electronics, Computers and Artificial Intelligence, on behalf of the IEEE ROMANIA Section. This conference benefits from the technical co-sponsorship of the IEEE Industry Applications Society.
On behalf of the Honorary Chair of the 6th INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI 2014), it is my great pleasure and honor to give a Welcome Message.
Monitoring represents an important factor in improving the quality of the services provided in cloud computing, given the fact that it allows scaling resource utilization in an adaptive manner. It is widely used for detecting critical events and abnormalities of distributed systems and also it helps identifying the faults within the system, discovering application patterns for the users. As cloud...
In this paper I used a classic SCADA software as a base for implementing a dispatch center for solar parks, which must respect the newest regulations in Romanian legislation.
Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Underwater imaging is primarily focused on search and rescue, underwater mine detection, underwater cable and pipeline overhauling and underwater geological survey. Main challenge in underwater imaging is blurriness. In underwater environment blurriness is caused by many factors which includes microscopic organism, impurities and density of water which effects refractive index of water, and bokeh...
This paper focuses on the theoretical and experimental analyzes on the dynamics of a magneto-piezoelectric pendulum system under the magnetic excitation. Initially, it handles the theoretical modelling of the problem including the mechanical, magnetic and electrical terms of the system. The theoretical formulation of the pendulum system is realized based on the experimental parameters. Then, a detailed...
In this paper a multicell converter with three cells is introduced. The general operation of such a converter and the mathematical model are presented. The main goal is to define a new control algorithm using a Petri Net that was achieved by developing a logic diagram based on the converter's operation modes and implement it into an algorithm simulated in Mathlab-Simulink.
In this paper, we present a new formal method to analyze cryptographic protocols statically for the property of secrecy. It consists in inspecting the level of security of every component in the protocol and making sure that it does not diminish during its life cycle. If yes, it concludes that the protocol keeps its secret inputs. We analyze in this paper an amended version of the Woo-Lam protocol...
Magnetometers are widely used for attitude determination of the low Earth orbit satellites. In order to estimate the satellite attitude accurately, bias of magnetometer must be estimated. In this study a linear Kalman filter based algorithm for estimation of magnetometer biases is proposed. We present computer technology for onboard signal processing and in-flight calibration of a low-cost strap-down...
Autonomous systems aimed to operate as humans' aids or companions must be able to move alone or in conjunction with the humans in urban, crowded indoor and outdoor spaces. The focus in the paper is on taxonomy of humans displacement and on the use of the personal space notion in planning the robot movements. Scenarios for the environments the systems encounter are analyzed and relations among lower-level...
In this paper is presented a solution based on a bi-dimensional cellular automata (CA) for image density classification task (DCT). The two necessary properties: density preserving and translation are combined together to obtain the DCT solution. These two properties are achieved using a combination of nine fundamental 2D-CA rules and the proposed solution for DCT has two phases: preprocessing phase...
Robotic swarms have a great potential to solve in a simple way, without the need for a central controller, a wide range of difficult real-world problems, such as transportation, search and rescue missions etc. While there are important results in what regards the emergence of complex behaviors from very simple interacting robots, the security of robotic swarms remains a problem which did not get the...
EEG signal processing is a complex task that requires many (pre)processing steps, due to the low signal-to-noise ratio. Challenging approaches are continuously developed, to improve the performance of signal analysis methods. This study was performed to demonstrate the advantages of ICA algorithm in EEG signal processing and its impact in emphasizing the brain activity similarities and the differences...
This paper propose the use of “Proportional-Resonant” (PR) controllers for Power Factor Correction (PFC) circuits used in front-end converters for grid-connected applications. The performance of the PFC converter with PR control is analyzed using simulations and the advantages and disadvantages of this kind of control are discussed. The classical PI controllers and the PR controllers are evaluated...
Oscillations and waves are important phenomena that are encountered in many different areas of physics. An oscillation is a disturbance in a physical system that is repetitive in time. A wave is a disturbance in an extended physical system that is both repetitive in time and periodic in space. In general, an oscillation involves a continuous back and forth flow of energy between two different energy...
Modelling of a real system using different approaches is wide spread in the research and academic communities. There are many studies in literature that treats different ways of simulating systems more or less complex. In this paper, we developed a different approach for modelling a separate excitation DC motor. The proposed article is focused on finding a suitable model that represents the dynamic...
In this paper we describe the way in which we select the weights set for a two hidden layers feed forward neural network. The weights are selected based on the fault tolerance of the neural network. We developed a Java application for training the network that generates more valid weights files and then the application selects the file that offers the maximum fault tolerance to the faults of the hidden...
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