IT Belarus! : Intelligent Systems, Belarus

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IT Belarus! : Intelligent Systems, Belarus
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Welcome to the Intelligent Systems Scientific Community!

Community has been found and currently hosted at Belarusian State University, Radio Physics and Computer Technologies Faculty, Intelligent Systems Department.

Our main goals are:
  • to build technical science relevant portal based on sharing of the state of the art knowledge and research results;
  • to join young scientists, doctors and professors to leverage their forces in taking of Belarusian science into the World Arena;
  • to share our knowledge and research routes;
  • to find out colleagues and partners from all over the world for joined scientific researches and collaboration;
  • to establish discussions and virtual conferences;
  • to be together!

Thanks Everyone who joined or just visited us!


Announcements

New eBooks are released: 

tsikhanenka_karnilovich_google_scem_conceptsolution mock-up for assets monitoring based on Event Management Concept and Google Cloud Computing

Authors: Yury Karnilovich, dr. Siarhei Tsikhanenka

Organization: Department of Intelligent Systems and Networks, Faculty of Radio Physics and Computer Technologies, Belarusian State University (Minsk, Belarus)

Abstract
In this article the high level approach for assets lifecycles monitoring based on even management concept and Google technologies are described. Process flow for the supply chain for returnable transportation items is selected as a business layer and modeled using ARIS Express tool.

Q&A Section
Discussion topic for this eBook is available at the scientific community forum


tsikhanenka_pekar_pca_based_text_categorizationPrincipal Component Analysis Based Text Categorization Algorithm

Authors: Dzmitry Pekar, dr. Siarhei Tsikhanenka

Organization: Department of Intelligent Systems and Networks, Faculty of Radio Physics and Computer Technologies, Belarusian State University (Minsk, Belarus) 

Abstract
In this paper the approach that allows dimension reduction of the feature set based on principal components analysis and its influence on the accuracy of text classification is presented. This approach could be used for automated text classification system development.

Q&A Section
Discussion topic for this eBook is available at the scientific community forum


chvarkova_valenda_olap_police_packageOLAP Based Data Warehouse Model Development for Police Relevant Activities Analysis

Authors: Siarhei Valenda, dr. Iryna Chvarkova

Organization: Department of Intelligent Systems and Networks, Faculty of Radio Physics and Computer Technologies, Belarusian State University (Minsk, Belarus)

Abstract
In this article the main principles of data analysis and an overview of OLAP fundamentals and OLAP models is presented. A prototyping approach for police relevant activities is described, including data modeling and reporting samples.

Q&A Section
Discussion topic for this eBook is available at the scientific community forum


chvarkova_akhramovich_olap_medical_institutionApproach for OLAP Technology Based System for Medical Institutions Activities Analysis

Authors: Anton Akhramovich, dr. Iryna Chvarkova

Organization: Department of Intelligent Systems and Networks, Faculty of Radio Physics and Computer Technologies, Belarusian State University (Minsk, Belarus)

Abstract
In this article review of standard systems for data analysis is provided and a brief overview of OLAP techologies is done. A prototyping approach for medical institutions relevant activities is described, including data modeling and reporting samples.

Q&A Section
Discussion topic for this eBook is available at the scientific community forum


chvarkova_tsikhanenka_sadau_steganography_tech_overviewSteganography: Digital Data Embedding Techniques

Authors: dr. Iryna Chvarkova, dr. Siarhei Tsikhanenka, dr. Vasili Sadau

Organization: Department of Intelligent Systems and Networks, Faculty of Radio Physics and Computer Technologies, Belarusian State University (Minsk, Belarus)

Abstract
In this article there is a basis overview of the Steganography is presented. The steganographic data flow is described and formalized.  Last Significant Bits modification technique is described in both – theoretical terms and practical implementations.  Security schemas that could be used in data embedding procedure are classified based on key influence to data shuffling procedure. There are main steganalysis approaches for hidden data allocation and detection is presented with necessary narrations for deep understanding.

Q&A Section
Discussion topic for this eBook is available at the scientific community forum

Speech Signals Digital Segmentation Foundation
Last Updated on Thursday, 01 September 2011 10:25