The Journal of Institute of Information and Communication Technologies of Bulgarian Academy of Sciences

Cybernetics and Information Technologies

Cybernet. & Inform. Techn.ONL

<article-title>Preface</article-title>

{"article-title":"Preface"}

<abstract><title style='display:none'>Abstract</title>Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based segmentation approaches. Scale space theory represents a systematic treatment of the issues of spatially uncorrelated noise with its main application being the detection of edges, using multiple resolution scales, which can be used for subsequent segmentation, classification or encoding. The present paper will give an overview of some recent applications of scale spaces into problems of microscopic image analysis. Particular overviews will be given to Gaussian and alpha-scale spaces. Some applications in the analysis of biomedical images will be presented. The implementation of filters will be demonstrated.</abstract>

Abstract

EHS, Interuniversity Microelectronics Center (IMEC), 3001 Leuven, Belgium

Keywords

<article-title>Selected Applications of Scale Spaces in Microscopic Image Analysis</article-title>

Selected Applications of Scale Spaces in Microscopic Image Analysis

{"article-title":"Selected Applications of Scale Spaces in Microscopic Image Analysis"}

<abstract><title style='display:none'>Abstract</title>The paper deals with the problem of synthesis of a robust detection algorithm for a harmonic signal on the background of correlated noise and impulse noise. The problem is solved using the empirical Bayes approach and the Tukey model of “pollution”. The efficiency of the algorithm is investigated by the Monte-Carlo method.</abstract>

National Aviation University, Kosmonavta Komarova ave. 1, 03680, Kyiv, Ukraine

<article-title>Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty</article-title>

Statistical Synthesis of Robust Signal Detection Algorithms under Conditions of Aprioristic Uncertainty

<abstract><title style='display:none'>Abstract</title>The current research concerns the problem of video stabilization “in a point”, which aims to stabilize all video frames according to one chosen reference frame to produce a new video, as by a static camera. Similar task importance relates providing static background in the video sequence that can be usable for correct measurements in the frames when studying dynamic objects in the video. For this aim we propose an efficient combined approach, called “3×3OF9×9”. It fuses our the previous development for fast and rigid 2D video stabilization [2] with the well-known Optical Flow approach, applied by parts via Otsu segmentation, for eliminating the influence of moving objects in the video. The obtained results are compared with those, produced by the commercial software Warp Stabilizer of Adobe-After-Effects CS6.</abstract>

Institute of Information and Communication Technologies, BAS, 1113 Sofia, Bulgaria

<article-title>2D Video Stabilization for Industrial High-Speed Cameras</article-title>

2D Video Stabilization for Industrial High-Speed Cameras

{"article-title":"2D Video Stabilization for Industrial High-Speed Cameras"}

<abstract><title style='display:none'>Abstract</title>The multichannel modified covariance estimator of a single-tone signal frequency is synthesized by using the maximum likelihood method. It is shown that this estimator has an advantage over the estimator averaged by multiple conventional single-channel ones. The particular case of a complex signal is also considered.</abstract>

National Aviation University, Kosmonavta Komarova ave. 1, 03680 Kyiv, Ukraine

<article-title>Multichannel Modified Covariance Estimator of a Single-Tone Frequency</article-title>

Multichannel Modified Covariance Estimator of a Single-Tone Frequency

{"article-title":"Multichannel Modified Covariance Estimator of a Single-Tone Frequency"}

<abstract><title style='display:none'>Abstract</title>The paper summarizes the application results of a recently proposed neuro-fuzzy algorithm for multi-dimensional data clustering to 3-Dimensional (3D) visualization of dynamically perceived sound waves recorded by an acoustic camera. The main focus in the present work is on the developed signal processing algorithm adapted to the specificity of multidimensional data set recorded by the acoustic camera, as well as on the created software package for real-time visualization of the “observed” sound waves propagation.</abstract>

<article-title>3D Visualization of Sound Fields Perceived by an Acoustic Camera</article-title>

3D Visualization of Sound Fields Perceived by an Acoustic Camera

{"article-title":"3D Visualization of Sound Fields Perceived by an Acoustic Camera"}

<abstract><title style='display:none'>Abstract</title>The work is devoted to fusion of radar and radiometer images. Noise waveform SAR generates radar images of reflective objects of its field of view. A bistatic radiometer with synthetic aperture estimates the thermal radio emissions of the objects along their angular coordinates and even range. The estimated brightness temperatures of rough and smooth surfaces are different, as well as the radar responses from them. Identification of the parameters of objects surfaces may be done using results of joint processing of images generated by both sensors. The optimum and quasi-optimum criteria for fusion of the images were obtained. The latter was experimentally checked. It approves the opportunity to fuse the images for further estimation of some parameters of objects surfaces. The results obtained may be used in environmental and security applications.</abstract>

National Technical University “Kharkiv polytechnic institute”, 21 Frunze str., 61002 Kharkiv, Ukraine

O.Ya. Usikov Institute for Radiophysics and Electronics, National Academy of Sciences of Ukraine, 12 Ak. Proskura str., 61085 Kharkiv, Ukraine

Warsaw University of Technology, 15/19 Nowowiejska str., 00-665 Warsaw, Poland

<article-title>Fusion of Images Generated by Radiometric and Active Noise SAR</article-title>

Fusion of Images Generated by Radiometric and Active Noise SAR

{"article-title":"Fusion of Images Generated by Radiometric and Active Noise SAR"}

<abstract><title style='display:none'>Abstract</title>The paper is outlining an experimentally created framework for multiple human biometrics fusion in support to constantly evolving complex cyberthreats landscape identification. A “scenario method” approach, in combination with experts’ based decision support and users’ biometric “validation-in-advance”, are considered. Practical examples are also given to the proposed ideas, providing a comprehensive outlook to the problem.</abstract>

Institute of Information and Communication Technologies, BAS, Acad. Georgi Bonchev Str., Bl 2, 1113 Sofia, Bulgaria

<article-title>Multiple Human Biometrics Fusion in Support of Cyberthreats Identification</article-title>

Multiple Human Biometrics Fusion in Support of Cyberthreats Identification

{"article-title":"Multiple Human Biometrics Fusion in Support of Cyberthreats Identification"}

<abstract><title style='display:none'>Abstract</title>A nonconventional image algorithm, based on compressed sensing and l1-norm minimization in Synthetic Aperture Radar (SAR) application is discussed. A discrete model of the earth surface relief and mathematical modeling of SAR signal formation are analytically described. Sparse decomposition in Fourier basis to solve the SAR image reconstruction problem is discussed. In contrast to the classical one-dimensional definition of l1-norm minimization in SAR image reconstruction, applied to an image vector, the present work proposes a two-dimensional definition of l1-norm minimization to the image. To verify the correctness of the algorithm, results of numerical experiments are presented.</abstract>

Faculty of Computer Science and Engineering, Burgas Free University, Burgas, Bulgaria

<article-title>Two-Dimensional <italic>l</italic>1-Norm Minimization in SAR Image Reconstriction</article-title>

Two-Dimensional -Norm Minimization in SAR Image Reconstriction

<abstract><title style='display:none'>Abstract</title>The main purpose of this paper is to apply and to test the performance of a new method, based on belief functions, proposed by Dezert et al. in order to evaluate the quality of the individual association pairings provided in the optimal data association solution for improving the performances of multisensor-multitarget tracking systems. The advantages of its implementation in an illustrative realistic surveillance context, when some of the association decisions are unreliable and doubtful and lead to potentially critical mistake, are discussed. A comparison with the results obtained on the base of Generalized Data Association is made.</abstract>

The French Aerospace Lab, Chemin de la Huniere, F-91761 Palaiseau, France

Institute of Informations and Communication Technologies, BAS, 1113 Sofia, Bulgaria

European Polytechnical University, Pernik, Bulgaria

<article-title>The Impact of the Quality Assessment of Optimal Assignment for Data Association in a Multitarget Tracking Context</article-title>

The Impact of the Quality Assessment of Optimal Assignment for Data Association in a Multitarget Tracking Context

<abstract><title style='display:none'>Abstract</title>The paper discusses the feasibility of using smart phone devices for human activity registration and analysis. The functional characteristics of the smart phones and their permanent connectivity allow them to serve as a measurement lab and processing unit. An example of using the smart phones as a sensor data source is described, and the corresponding algorithm and results are given. The possible problems are listed and commented.</abstract>

Institute of Information and Communication Technologies, Bulgarian Acad. of Sci., Sofia, Bulgaria

<article-title>Human Activity Registration Using Multisensor Data Fusion</article-title>

Human Activity Registration Using Multisensor Data Fusion

{"article-title":"Human Activity Registration Using Multisensor Data Fusion"}

<abstract><title style='display:none'>Abstract</title>This paper presents a proof of the concept cloud based patient monitoring and self-care platform, powered by measurements provided from various smartphone sensors. The Cloud platform provides the infrastructure and computational capacity for calculation of the navigation and motion tracking system, fall detection monitoring, as well as emergency notifications. The navigation system uses the pedometer and fusion of the accelerometer, gyroscope and magnetometer sensors. It aims to estimate precisely the patient’s movement and location. While both navigation and tracking systems can independently determine the incremental movement and indoor localization of the patients, they are fused in order to provide more accurate estimations. The fall detection monitoring is enabled by processing the raw data collected from the smartphone’s accelerometer and gyroscope. Furthermore, the cloud system provides various statistics for the physical activity of the patients, based on measurements from the pedometer. Consequently, this paper proposes a proof of the concept cloud based platform that is scalable and highly responsive, used for real-time monitoring and tracking a large number of patients. It also provides indoor navigation and other self-care features.</abstract>

Faculty of Computer Science and Engineering, University of Ss Cyril and Methodius, “Rugjer Boshkovikj” 16, PO Box 393, 1000 Skopje, R. of Macedonia

<article-title>Cloud Based Patient Monitoring Platform Using Android Smartphone Sensors</article-title>

Cloud Based Patient Monitoring Platform Using Android Smartphone Sensors

{"article-title":"Cloud Based Patient Monitoring Platform Using Android Smartphone Sensors"}

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Cybernetics and Information Technologies ist in den folgenden Services indiziert: <ul> <li> ACM Digital Library </li> <li> Baidu Scholar </li> <li> Cabell's Whitelist </li> <li> CNKI Scholar (China National Knowledge Infrastructure) </li> <li> CNPIEC - cnpLINKer </li> <li> Dimensions </li> <li> DOAJ (Directory of Open Access Journals) </li> <li> EBSCO </li> <li> Engineering Village </li> <li> ExLibris </li> <li> Genamics JournalSeek </li> <li> GoOA </li> <li> Google Scholar </li> <li> Inspec </li> <li> Japan Science and Technology Agency (JST) </li> <li> J-Gate </li> <li> JournalGuide </li> <li> JournalTOCs </li> <li> KESLI-NDSL (Korean National Discovery for Science Leaders) </li> <li> Mathematical Reviews (MathSciNet) </li> <li> MyScienceWork </li> <li> Naver Academic </li> <li> Naviga (Softweco) </li> <li> Publons </li> <li> QOAM (Quality Open Access Market) </li> <li> ReadCube </li> <li> SCImago (SJR) </li> <li> SCOPUS </li> <li> Semantic Scholar </li> <li> Sherpa/RoMEO </li> <li> TDNet </li> <li> Ulrich's Periodicals Directory/ulrichsweb </li> <li> WanFang Data </li> <li> Web of Science - Emerging Sources Citation Index </li> <li> WorldCat (OCLC) </li> <li> X-MOL </li> </ul>

<DIV align=left> Call for papers Submission Please submit your manuscripts to "Cybernetics and Information Technologies" via email to: <A href="mailto:cit@bas.bg">cit@bas.bg</A>. All the requirements for paper formatting are described in the document <A href="https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/CAIT/Instructions_for_authors.pdf">Instructions for Authors</A>. Submission of a manuscript to the journal signifies that work has not been previously published and that it has not been submitted or accepted for publication elsewhere. Selection Submitted manuscripts are subject to a peer-review procedure. The reviewing is made by the Editorial Board, substantially supported by a pool of additional reviewers (announcedin the journal). The decision on whether or not to accept the paper is made by the Editorial board. Publication The author(s) of accepted papers will receive a LICENSE TO PUBLISH to sign and send it to the Editorial office. The journal publishes 4 regular issues and some additional special thematic issues (no more than two) per annum. The normal review period is about 6 months. The accepted papers are published in the next 1-2 months after the reviewing period. Page charges The regular papers do not have article processing charges. A limited number of papers (up to 2-3 in an issue) are processed by paid fast-track mode in order to publish the paper in the next journal issue (if submitted at least 1 month before publication date). The fee for fast-track processing is 450 EURO per paper; it is paid only if a submitted paper is positively reviewed. Special thematic issues The additional thematic issues are intended to present extended variants of selected papers presented at international scientific events. The event organizers send to CIT Editor-in-Chief (<A href="mailto:dochev@iinf.bas.bg">dochev@iinf.bas.bg</A>) a proposal for publishing a thematic special issue that contains the proposed title of the issue, the event description (link), names and detailed CV’s of proposed guest editors and expected numbers of papers in the issue. The special issues must contain 8-20 papers with the paper length of 10-15 pages (up to 200-250 pages in total). The selected papers should be written by authors from different countries and no more than two papers with the same author(s) are allowed to be included into the special issue. The cost for publishing a special thematic issue is: 300 EURO per paper (including a preface) for up to 12 papers and 250 EURO per paper (including a preface) for more than 12 papers. The cost should be covered by the event organizers. The guest editors are responsible for reviewing and selecting high quality papers to be published in the thematic issue and for writing a preface of the issue. The selected papers must provide a minimum of 50% new content and not exceed 30% copy/paste from the proceedings paper. All reviews (at least two per paper) should be sent to CIT Editor-in-Chief for approval. After both sides agree on all the details a contract with the organizing university/institution is signed for publishing the special issue. The special issue will be published up to 2 months after receiving the final texts in the required journal format and the Licenses to publish from the authors. Open Access Statement The journal is an Open Access journal that allows a free unlimited access to all its contents without any restrictions upon publication to all users. <A href="https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/CAIT/Open_Access_License.pdf">Open Access License</A> </DIV>

<DIV align=left> Editor-in-Chief Danail Dochev, IICT - BAS, Bulgaria Institute of Information and Communication Technologies of Bulgarian Academy of Sciences - <A href="http://www.iict.bas.bg/index.html">www.iict.bas.bg/index.html</A> Aims &amp; Scope The Cybernetics and Information Technologies presents scientific papers including original theoretical as well as application contributions to the subject areas: information processes and systems, operational research, pattern recognition, signal and image processing, artificial intelligence, linguistic modelling, control theory and applications, high performance computing, scientific computations, computer communication technologies, software technologies, information technologies in education (the list is not exhausting). This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access. The journal acknowledges and adheres to the Core Practices of the Committee on Publication Ethics (COPE) (see details in ‘<A href="https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/CAIT/Editorial_policy.pdf">Editorial Policy</A>'). The journal publishes 4 regular issues per annum (March, June, September, December) and some additional special thematic issues with selection of extended papers from international scientific events. Cybernetics and Information Technologies is a single-blind peer-reviewed journal. All the information for paper submission is available on the page Submit. The requirements for paper submission are described in the document '<A href="https://sciendo-parsed-data-feed.s3.eu-central-1.amazonaws.com/CAIT/Instructions_for_authors.pdf">Instructions for Authors</A>'. Archiving Sciendo archives the contents of this journal in <A href="https://www.portico.org/">Portico</A> - digital long-term preservation service of scholarly books, journals and collections. Plagiarism Policy The editorial board is participating in a growing community of <A href="https://www.crossref.org/services/similarity-check/">Similarity Check System's</A> users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. </DIV>

Editor-in-Chief Danail Dochev, Inst. of ICT – Bulg. Acad. of Sciences, Sofia, Bulgaria Managing Editor Gennady Agre, Inst. of ICT – Bulg. Acad. of Sciences, Sofia, Bulgaria Editorial Board Costin Badica, University of Craiova, Romania Farshad Badie, Berlin School of Business and Innovation, Germany Christo Dichev, Winston-Salem State University, North Carolina, USA Stefka Fidanova, Inst. of ICT – Bulg. Acad. of Sciences, Sofia, Bulgaria Nagamalai Jeyanthi, Vellore Inst. of Technology, Tamil Nadu, India Christo Kabakchiev, University of Sofia, Bulgaria Aneta Karaivanova, Inst. of ICT – Bulg. Acad. of Sciences, Sofia, Bulgaria Petia Koprinkova-Hristova, Inst. of ICT – Bulg. Acad. of Sciences, Sofia, Bulgaria Aswani Kumar, Vellore Inst. of Technology, Tamil Nadu, India Andrea De Lorenzo, University of Trieste, Italy Gabriel Luque, University of Malaga, Spain Yannis Manolopoulos, Aristotle University, Thessaloniki, Greece Vladimir Monov, Inst. of ICT – Bulg. Acad. of Sciences, Sofia, Bulgaria Petya Osenova, University of Sofia / Inst. of ICT – BAS, Sofia, Bulgaria Maciej Piasecki, Wroclaw University of Science and Technology, Poland Ivan Tanev, Doshisha University, Kyoto, Japan Dalin Zhang, Beijing Jiaotong University, China Advisory Board Acad. Janos Demetrovics, Hungarian Acad. of Sciences, Budapest, Hungary Acad. Ivan Popchev, Bulgarian Acad. of Sciences, Sofia, Bulgaria Acad. Vassil Sgurev, Bulgarian Acad. of Sciences, Sofia, Bulgaria Corr.-mem. Svetozar Margenov, Bulgarian Acad. of Sciences, Sofia, Bulgaria Language Editor Stanislav Drangajov, Inst. of ICT – Bulg. Acad. of Sciences, Sofia, Bulgaria Technical Editor Sasha Spasova, Inst. of ICT – Bulg. Acad. of Sciences, Sofia, Bulgaria Additional Reviewers Kiril Alexiev, Vera Angelova, Ognian Bumbarov, Praveen Kumar Donta, Lyubka Doukovska, Svetozar Ilchev, Nikolay Manev, Ivo Marinchev, Ioannis Mavridis, Atanas Ouzounov, S. P. Raja, Nageswara Rao, Todor Stoilov, Pencho Venkov Contact email: <A href="mailto:cit@bas.bg">cit@bas.bg</A> Publisher De Gruyter Poland Bogumiła Zuga 32A Str. 01-811 Warsaw, Poland

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Volume 15 (2015): Issue 7 (December 2015) Special Issue on Information Fusion

Volume 15 (2015): Issue 7 (December 2015)

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Volume 15 (2015): Issue 7 (December 2015)Special Issue on Information Fusion

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Volume 15 (2015): Issue 7 (December 2015)
Special Issue on Information Fusion