University of Library Studies and Information Technologies

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Jotsov V.S.,University of Library Studies and Information Technologies
Proceedings of the 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, IDAACS 2013 | Year: 2013

A set of advanced analytics methods is investigated aiming at easier and higher quality e-/m-learning or blended tutoring. Security systems (SS) have been considered as an example of difficult-to-learn area. The topic of the presented investigation are contemporary education threats that will lead to big problems in the nearest future. It is shown that today the prevention of such threats is almost impossible without applications of intelligent technologies. Even more, the contemporary education system should possess some features of intelligent technologies or smart systems and advanced analytics elements. Original results are presented on how to build more effective classical applications by using novel puzzle methods. It is shown that all the demonstrated advantages may be successfully combined with other known methods from e-learning, m-learning or other education fields. Also it is shown how the considered applications enhance the quality of teaching, improve the emotional connection between the teacher and students and hence serve their sustainable learning and development. It has been discussed that qualitative forms of education may not require the usage of expensive hardware © 2013 IEEE.


Kabakchiev Chr.,Sofia University | Garvanov I.,University of Library Studies and Information Technologies | Behar V.,Institute of Information and Communication Technologies | Kabakchiev A.,Institute of Information and Communication Technologies | Kabakcueva D.,Sofia University
Proceedings International Radar Symposium | Year: 2012

In this paper we research original structure of the Bistatic Forward Scatter Radar detector and signal parameter estimator of the marine targets at the background of a sea clutter. The time duration, power, energy and the maximum of the Doppler frequency for MISL and other boat are estimate for many trails. These results will make possible to be used for the data mining classification with the WEKA software. We propose and original structure of the FSR Rough Target Classifier, of the marine targets at the background of a sea clutter. Using the CFAR processor approach for Target detection and parameter estimation of the firs minimum and maximum frequency from Power Spectrum Density, we receive the signal parameters in the FSR in the real time. On base this signal parameters, we calculate target parameters velocity and length from two equations, for velocity of targets in bistatic systems and for length of FSR target propose by Cherniakov. These parameters, length and velocity, we may to use for rough targets classification, because they consists all information about the boat. The research algorithm is investigated on the base of real data records that have been obtained by the team from Birmingham University and Sofia University using Forward Scattering Radar. © 2012 IEEE.


Behar V.,Institute of Information and Communication Technologies | Kabakchiev Chr.,Sofia University | Garvanov I.,University of Library Studies and Information Technologies
Proceedings International Radar Symposium | Year: 2012

In this paper a possible original method for rough classification of marine target, through estimation of the velocity and linear size of moving sea objects using Forward Scattering Radar (FSR) system is present. The target velocity and size are estimated by cross-correlation between instantaneous frequencies of the input signal and the predefined reference signal. The estimation algorithm is tested on the base of real experimental signal from the boat moving with a given velocity, that have been obtained by the team from Birmingham University using Forward Scattering Radar. © 2012 IEEE.


Panayotova G.S.,University of Library Studies and Information Technologies | Dimitrov G.P.,University of Library Studies and Information Technologies
Proceedings of the 13th International Symposium on Operational Research, SOR 2015 | Year: 2015

This paper briefly introduces an integrated framework for portfolio selection and implementation of the framework for Web-based information system. The structure of Web-based information system for optimization of portfolio is investigated. Portfolio optimization in MATLAB environment is given. The optimization programme created from the existing software packages uses single-period Mean-Variance Optimization model.


Jotsov V.S.,University of Library Studies and Information Technologies
Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2011 | Year: 2011

A set of conflict resolution methods is investigated with the purpose to construct knowledge refinement and self-learning tools applicable in a wide range of security systems (SS). The introduction of ontologies simplifies the detection process and lowers the complexity of the machine learning procedures. Different conflict resolution ways lead to particular autonomous/intelligent applications in different types of SS. The proposed self-learning methods are combinable with other web/data mining, anomaly detection, statistical methods, and show new ways in the development of collective evolutionary systems. © 2011 IEEE.


Todorova T.,University of Library Studies and Information Technologies | Peteva I.,University of Library Studies and Information Technologies
Communications in Computer and Information Science | Year: 2013

This paper presents comparisons between some findings from "Information Literacy (IL) Survey on Library and Information Science (LIS) students" with data obtained from a survey conducted in a research project "Analysis of the common practices in the use of products of Intellectual Property in University Information Environment". Conclusions are drawn for optimizing the quality of LIS education and LLL programs in response to the new demands of the information and digital reality, having regard also for copyright and legal issues. © Springer International Publishing Switzerland 2013.


Garvanov I.,University of Library Studies and Information Technologies
2013 Signal Processing Symposium, SPS 2013 | Year: 2013

In radars, the performance of signal detectors is seriously degraded by arrival of impulse noise that extremely worsens their detectability characteristics. There are many papers, in which different Constant False Alarm Rate (CFAR) detectors have been analyzed in the presence of randomly arriving impulse interference described as Bernoulli pulse sequences. In this paper, the randomly arriving impulse interference is mathematically described as Binominal pulse sequences. This model of impulse noise is used for numerical analysis of Excision Constant False Alarm Rate (EXC CFAR) pulse detector and EXC CFAR BI (binary integration) pulse train detector with Polar Hough transform. The detectability of detectors is expressed in terms of the detection probabilities and the Average Decision Threshold (ADT). The experimental results are obtained by numerical analysis in MATLAB environment. © 2013 IEEE.


Kabakchiev C.,Sofia University | Garvanov I.,University of Library Studies and Information Technologies | Behar V.,Bulgarian Academy of Science | Rohling H.,TU Hamburg - Harburg
Proceedings International Radar Symposium | Year: 2013

The Forward Scatter Radar (FSR) system is a special case of bistatic radar. In such bistatic FSR, the receive and transmit antennas are fixed and directed at each other, so the target detection takes place when the baseline is crossed. This type of radar provides a countermeasure to stealth technology because in the area of the forward scatter effect the targets' RCS depends only on the size and the shape of their silhouette. Passive radars use transmitters of opportunity as signal source, and therefore they are very attractive due to their inherit low cost. The advantage of considering Global Navigation Satellite System (GNSS) satellites as transmitters of opportunity is the high availability that these satellites offer. Anywhere on earth, around eight Global Positioning System (GPS) satellites are continuously in view. This provides an optimum scenario for implementation of a GNSS-FSR system. In this paper, some experimental results of a GPS-FSR system, where the signal at the output of the Carrier&Code tracking block is coherently integrated, are described and analyzed. © 2013 German Inst of Navigation.


Iliev I.,Web Software Developer | Dimitrov G.P.,University of Library Studies and Information Technologies
2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2014 - Proceedings | Year: 2014

With the evolution of the internet the loading speed of the web pages has become a vital factor for their success. A few hundred milliseconds difference in the response time are enough for visitors to choose one page instead of its competitors. This paper describes the increasing demand for faster loading webpages and the need of methods for optimization of the web code in order to increase their speed. It describes the process of loading webpages in browser and lists several methods for front-end performance optimization. The understanding of the loading process allows the correct identification of the parts that can be affected and improved. It also helps for understanding the effect of these methods and the cases when they can be applied. Although the total effect of the optimization depends on the specific webpage the appliance of these rules does not only reduce the page loading speed but it also affects the total bandwidth and load of the web server. © 2014 MIPRO.


Behar V.,Bulgarian Academy of Science | Kabakchiev C.,Sofia University | Garvanov I.,University of Library Studies and Information Technologies
Proceedings International Radar Symposium | Year: 2013

In this paper we consider two possible algorithms for the detection of marine targets using a Forward Scatter Radar (FSR) system. Contrary to traditional detection algorithms that process the input signal envelope, these algorithms perform the input signal phase. Before thresholding, the input signal phase is filtered and as a result the output signals are formed as values of local statistics of the signal phase calculated in the sliding window. In the case of large targets or fast moving targets, when the signal-to-noise ratio (SNR) is large enough, input signal phase samples are replaced by a local estimate of the signal phase variance calculated in the sliding window. In the case of small targets or slow moving targets when the SNR is relatively low, the input signal phase is filtered twice before thresholding. The first filter (Filter-1) removes the local average calculated in the sliding window from each sample of the input signal phase. The second filter (Filter-2) replaces the samples of the filtered signal by a local estimate of the variance calculated in the sliding window. © 2013 German Inst of Navigation.

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