Sabina MUNTEANU: Major Approaches to Medical Diagnosis and their Drawbacks
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Adina COCU, Marian Viorel CRACIUN, Bogdan COCU: Learning the Structure of Bayesian Network from Small Amount of Data
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George PECHERLE, Cornelia GYORODI, Ovidiu BUKSA, Stefan MOGYOROSI: Solution for an Improved WEB Server
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Emilia PECHEANU, Diana STEFANESCU, Adrian ISTRATE: On Modeling the Instructional Content in Computer Assisted Education
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Ana DOBRESCU, Gheorghe MORARIU, Mihai MIRON: Bipolar Disk Microstrip Antenna. Theoretical and Experimental Considerations
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Mihai VLASE, Dan MUNTEANU: Ranking Patents for Better Search Capabilities
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Cornelia TUDORIE: Intelligent  Interfaces  for  Database  Fuzzy  Querying
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Gabriel DANCIU, Iuliu SZEKELY: Methods of  Object Tracking
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Razvan SOLEA, Urbano NUNES, Adrian FILIPESCU, Daniela CERNEGA: Sliding Mode Control for Trajectory Tracking of an Intelligent Wheelchair
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P. Vijaya KUMAR, S. Rama REDDY: Simulation Results of Double Forward Converter
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Marian GAICEANU: Speed Estimation Method for AC Drives
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P. Usha RANI, S. Rama REDDY: Digital Simulation of a Dynamic Voltage Restorer System
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Caius SULIMAN, Dan PUIU, Florin MOLDOVEANU: Single Camera Calibration in 3D Vision
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Mirela GHEORGHITA, Emil SUCIU, Laurentiu CHITIC, Gheorghe PANA: Link Between the Seismic Events and the Different Seismic Precursor Phenomena
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Sabina MUNTEANU: Major Approaches to Medical Diagnosis and their Drawbacks

Abstract: The ability to reason within a dynamical environment is of a crucial importance in Artificial Intelligence. Medical diagnosis is a dynamic and very complex field which needs special attention Our quest is for a system for medical diagnosis, that could model its search space efficiently and dynamically, while confronted with sequential tests. We present below some of the major approaches from literature, with their drawbacks, and conclude that a combinative hybridization of a certain type would be useful to overcome the failures.

Keywords: clinical decision making, hybrid intelligent systems, symbolic reasoning, model-based diagnosis.

 

Adina COCU, Marian Viorel CRACIUN, Bogdan COCU: Learning the Structure of Bayesian Network from Small Amount of Data

Abstract: Many areas of artificial intelligence must handling with imperfection of information. One of the ways to do this is using representation and reasoning with Bayesian networks. Creation of a Bayesian network consists in two stages. First stage is to design the node structure and directed links between them. Choosing of a structure for network can be done either through empirical developing by human experts or through machine learning algorithm. The second stage is completion of probability tables for each node. Using a machine learning method is useful, especially when we have a big amount of leaning data. But in many fields the amount of data is small, incomplete and inconsistent. In this paper, we make a case study for choosing the best learning method for small amount of learning data. Means more experiments we drop conclusion of using existent methods for learning a network structure. 

Keywords: Bayesian network, machine learning algorithm, structure learning

 

George PECHERLE, Cornelia GYORODI, Ovidiu BUKSA, Stefan MOGYOROSI: Solution for an Improved WEB Server

Abstract: We want to present a solution with maximum performance from a web server, in terms of services that the server provides. We do not always know what tools to use or how to configure what we have in order to get what we need. Keeping the Internet-related services you provide in working condition can sometimes be a real challenge. And with the increasing demand in Internet services, we need to come up with solutions to problems that occur every day.

Keywords: web server, client, PHP, MySQL, ASP.NET, web application, Apache

 

Emilia PECHEANU, Diana STEFANESCU, Adrian ISTRATE: On Modeling the Instructional Content in Computer Assisted Education

Abstract: This paper presents a solution for conceptually modeling the instructional content in computer-assisted education. The different cognitive style of learners imposes different modalities of presenting and structuring the information (the pedagogical knowledge) to be taught. Conceptual organization of the training domain knowledge, with learning stages phasing, can constitute a better solution to the problem of adapting the instructional system interaction to users with different cognitive style and needs.

Keywords: cognitive style, structured instructional content, conceptual model, lattice-like model, authoring tool.

 

Ana DOBRESCU, Gheorghe MORARIU, Mihai MIRON: Bipolar Disk Microstrip Antenna. Theoretical and Experimental Considerations

Abstract: : The paper presents the main theoretical and practical aspects regarding wideband disk microstrip antenna construction. There are presented electromagnetically parameters of the antenna, their shape, physical dimensions and results of the experimental measurements. The material outlines specific characteristics of the bipolar disk microstrip antenna.

Keywords: antenna, microstrip, radiation.

 

Mihai VLASE, Dan MUNTEANU: Ranking Patents for Better Search Capabilities 

Abstract: The continuous increasing number of patents worldwide makes the searching in these vast databases a real challenge. In the present paper we present a method, based on a computed rank that attempts to order the patents by a relevant order transforming a long list of hundreds of search results into a list ordered by relevance.

Keywords: database; search; rank; patents; citations.

 

Cornelia TUDORIE: Intelligent  Interfaces  for  Database  Fuzzy  Querying

Abstract: Intelligent interfaces to database querying must offer to the user a flexible way to express the selection criteria. Some software tools are developed in our department for scientific purpose: to be used for studying flexible queries. There are two major aspects of the queries’ flexibility that are interesting: natural language (Romanian) querying and vague querying . They are studied and implemented either separately or both combined. For the natural language processing, the intermediary language approach is adopted. The queries vagueness is modelled and processed using the fuzzy logic technique. All presented software tools (and more others not presented here) are implemented in collaboration with our Computer Science students.

Keywords: Database, Intelligent Interface, Fuzzy Queries, Natural Language Interface

 

Gabriel DANCIU, Iuliu SZEKELY: Methods of  Object Tracking

Abstract: This paper presents two methods of object detection/tracking in a video. The first method will use the motion tracking technique combined with density detection which will be described. The second one is based on the SURF algorithm. 

Keywords: key points, motion detection, camshift, SURF.

 

Razvan SOLEA, Urbano NUNES, Adrian FILIPESCU, Daniela CERNEGA: Sliding Mode Control for Trajectory Tracking of an Intelligent Wheelchair

Abstract: This paper deal with a robust sliding-mode trajectory tracking controller, for nonholonomic wheeled mobile robots and its experimental evaluation by the implementation in an intelligent wheelchair (RobChair). The proposed control structure is based on two nonlinear sliding surfaces ensuring the tracking of the three output variables, with respect to the nonholonomic constraint. The performances of the proposed controller for the trajectory planning problem with comfort constraint are verified through the real time acceleration provided by an inertial measurement unit.

Keywords: sliding-mode control, trajectory-tracking mode, intelligent wheelchair, mobile robots.

 

P. Vijaya KUMAR, S. Rama REDDY: Simulation Results of Double Forward Converter

Abstract: This work aims to find a better forward converter for DC to DC conversion. Simulation of double forward converter in SMPS system is discussed in this paper. A forward converter with RCD snubber to synchronous rectifier and/or to current doubler is also discussed. The evolution of the forward converter is first reviewed in a tutorial fashion. Performance parameters are discussed including operating principle, voltage conversion ratio, efficiency, device stress, small-signal dynamics, noise and EMI. Its circuit operation and its performance characteristics of the forward converter with RCD snubber and double forward converter are described and the simulation results are presented.

Keywords: Forward converter with a RCD snubber, Forward converter with a LCDD snubber, Forward converter with a resonant switch, Forward converter with a switching snubber, Synchronous rectifier, Current doubler.

 

Marian GAICEANU: Speed Estimation Method for AC Drives

Abstract: : Two structures of speed estimator for AC drive system are developed in this paper. The mathematical models and the simulation results, via numerical simulation, are presented. The utility of the estimator is important for the speed control or for the advanced control synthesis such as optimal vector control of induction motor drives. Besides of speed estimation objective, the proposed method increases the robustness of estimators to measurement signal noises.

Keywords: speed estimation, first order estimator, second order estimator, rotor field oriented control, mathematical model, AC drives.

 

P. Usha RANI, S. Rama REDDY: Digital Simulation of a Dynamic Voltage Restorer System 

Abstract: The Dynamic Voltage Restorer (DVR), a custom power device, has been used to protect sensitive loads from the effect of voltage sags / swells on the distribution feeder. The DVR’s main function is to inject the difference in voltage to the power line and thus maintain the load side voltage at the optimum value. This paper presents the modeling and closed loop control aspects of the DVR system with an H bridge inverter working against voltage sags / swells by simulation. The power circuit of the DVR system with an H bridge inverter with the control techniques used for compensation is explained. The proposed DVR is modeled and simulated using MATLAB/ SIMULINK software. The simulation results show that the control approach performs very effectively and yields excellent compensation for compensating voltage sags / swells.

Keywords: Dynamic Voltage Restorer (DVR), Voltage Source Converter (VSC), Total Harmonic Distortion (THD)

 

Caius SULIMAN, Dan PUIU, Florin MOLDOVEANU: Single Camera Calibration in 3D Vision

Abstract: Camera calibration is a necessary step in 3D vision in order to extract metric information from 2D images. A camera is considered to be calibrated when the parameters of the camera are known (i.e. principal distance, lens distorsion, focal length etc.). In this paper we deal with a single camera calibration method and with the help of this method we try to find the intrinsic and extrinsic camera parameters. The method was implemented with succes in the programming and simulation environment Matlab.

Keywords: camera calibration, 3D vision, calibration pattern, intrinsic parameters, extrinsic parameters.

 

Mirela GHEORGHITA, Emil SUCIU, Laurentiu CHITIC, Gheorghe PANA: Link Between the Seismic Events and the Different Seismic Precursor Phenomena

Abstract: This article presents an analysis of the earthquake prediction methods, highlighting mainly the VLF and LF electromagnetic waves seismic precursors’ monitoring method and the correlation among these in order to obtain a more precise result. It is well known the fact that there are lots of links between the seismic events occurrence and different phenomena that predict their occurrence, such as the electromagnetic field, Earth movement, gaseous content of radon and hydrogen within the soil, or within the underground waters. This paper aims to demonstrate the close link between the seismic events and the electromagnetic wave propagation anomalies, which are recorded before the advent of an earthquake.

Keywords: earthquake prediction, VLF and LF electromagnetic waves.