Software & Systems

Articles of journal № 2 at 2016 year.

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1. An approach to data normalization in the internet of things for security analysis [№2 за 2016 год]
Authors: A.I. Pechenkin, M.A. Poltavtseva, D.S. Lavrova
Visitors: 5111
This paper analyzes a concept of the Internet of Things to develop a system for security incidents detection. System development requires effective methods and algorithms for preprocessing and storing high volumes of data from heterogeneous devices. The authors define a notion of a “thing”, formulate the basic information coming from the “thing” to an information system. In this paper the “thing” is considered as a data source with its own features. The authors apply the ETL (Extract Transfer Loading) technology to the Internet of Things data preprocessing. Heterogeneous devices provide a great number of different data types. To analyze this information in SIEM the system needs to show information and command messages from the Internet of Things in the event space. For this purpose it is necessary to adjust them to the same form, due to the fact that a researcher often needs to analyze various events together and one event may include various messages. This problem may be solved using metadata. The authors propose an approach that applies hierarchical directories to normalize high volumes of heterogeneous data from the Internet of Things. Hierarchical directories contain information about data source and their contents. The paper describes the basic metadata directories.

2. Soil & Environment as a tool for soil environmental functions evaluation [№2 за 2016 год]
Authors: Ángeles Gallegos-Tavera, Francisco Bautista, Dubrovina I.A.
Visitors: 9539
Soil degradation is a part of total ecological crisis due to the fact that soil is the link of any ecosystem. The soil loses its environmental functions (EF) under the comprehensive loads. One of the key topics of nature protection in the last decade is the evaluation and accounting ecosystem services in human economic activity. Therefore, the search and development of spatial planning tools for areas based on their EF is very important. The article considers the software for evaluation of EF using TUSEC algorithms (Technique for Soil Evaluation and Categorization). The technique implies a score evaluation of basic environmental functions of natural and anthropogenic soils. EF evaluation allows keeping a balance of benefits and losses at a spatial planning as a result of lower environmental impacts on soil functions. The central component of the software is a relational DBMS Derby designed in Java using IDE Eclipse. Data on the site, field description and analysis of soil profiles are stored in the database using input tools. Intermediate calculations and evaluation of EF is based on input data by TUSEC algorithms. The forcasting modeling tool allows calculating the change of EF ranks for different types of land use. The evaluation results of EF and predictive models can be presented by graphs. Export of tabular and graphical information is possible as well as the spatial reference data into the GIS. Friendly interface for data input and output and database management is designed for users who do not know SQL query language.

3. Modeling musical creativity using genetic algorithms based on GENOM platform [№2 за 2016 год]
Authors: Arutyunov V.O., A.N. Averkin
Visitors: 7612
The paper considers the problem of modeling musical creativity (M MC) using genetic algorithms (GA). During the work we designed and implemented a software system that represents a scalable platform for experiments on MMC. Implementation is limited by simulation of small monophonic melodies. The main efforts were directed to creating a platform that covers the majority of existing options for experiments and provides an opportunity to expand. The developed software includes a user interface with the ability to configure experiments, view scores and play the received melody, as well as a programming interface to extend the capabilities of the system. The implementation of the application is based on modern web technologies. It was developed with the help of a cross-platform free software (React, React-Router, Webpack, Bootstrap, Babel, Alt, ABCJS). The software product can be used as a tool for experimentation in MMC. In addition, the product can be used as a basis for creation of specialized solutions (including commercial) that use GA for MMT. The openness of the product and the possibility of extensions provides a possibility for its further improvement and use.

4. Building association rules in medical diagnosis [№2 за 2016 год]
Authors: Billig V.A., Ivanova O.V., Tsaregorodzev N.A.
Visitors: 10506
The article considers a new effective algorithm of creating association rules, which is called AprioriScale. The algorithm is applied to solving a particular medical diagnosis task. Implementation of the algorithm is in C# programming language. The developed programming tools provide doctors with the opportunity to carry out necessary research in the process of medical diagnosing. AprioriScale algorithm is a modification of the classic algorithm Apriori that is able to extract association rules from a database. An important feature of the developed algorithm is means of data presentation and creating associative rules. After long-term medical observations doctors have created a database containing data on the children suffering from severe diseases. Association rules extracted from this database make it possible to differentiate illnesses in an important field of pediatrics. The algorithm and programming tools may be used to solve different tasks both in medical diagnosis and in other applied fields.

5. Approximate reasoning based on temporal fuzzy Bayesian belief networks [№2 за 2016 год]
Authors: Borisov V.V., Zakharov A.S.
Visitors: 6226
The article considers the problem of approximate reasoning modeling under uncertainty. It describes a temporal fuzzy Bayesian network, which represents a Bayesian belief network, where preconditions of cause-effect relationships are complex temporal expressions; a statement truth measure is a fuzzy probability measure. A temporal fuzzy Bayesian network allows qualitative and quantitative setting of cause-effect relationships, taking into account temporal dependencies under conditions of stochastic and non-stochastic uncertainty. A result of approximate reasoning is a value of fuzzy probabilistic truth measure of a statement about finding a network node in one of its states. Moreover, the reasoning process is implemented as a sequential transition between moments of time and for each time moment implementing probabilistic inference in a temporal fuzzy Bayesian network. During the inference for each time moment when there are temporal dependencies we use reasoning results obtained at previous steps. To model approximate reasoning based on a temporal fuzzy Bayesian network the authors propose a method that allows to determine values of a fuzzy probability truth measure of statements during the forward and backward reasoning considering complex temporal dependencies. The proposed method is based, first, on the transformation of a fuzzy Bayesian network with complex temporal statements into a form containing only simple temporal statements. Second, it is based on the join tree construction according to the source fuzzy Bayesian network. Third, it is based on calculating fuzzy probability distribution by transmitting messages between join tree nodes, as well on a time constraint network to transmit messages through heterogenous join tree separators. The paper describes the developed software tools that implement the proposed model and the method of approximate reasoning. There are examples of using the developed model and method for analysing mental and emotional state of patients.

6. Decision assessment principles in the automated system of engineering product quality control [№2 за 2016 год]
Authors: Burdo G.B., Vinogradov G.P., Semenov N.A., Sorokin A.Yu.
Visitors: 9037
The features of multiproduct machinery production are primarily associated with a large number of different products under development and in progress simultaneously. It leads to time shortage while performing the stages of a product life cycle. In this regard, work staging at design and technological preproduction is violated; there are no clear criteria for product quality. It leads to non-predictable results (considering the quality of products). It should be noted that, as a rule, the first samples of high-tech products are created in the conditions that prolong the period of product launch due to the need of its improvement. Therefore, the importance of creating quality control automated systems becomes clear. It is known that in any situation of choice a quality of decision is determined by quality evaluation criteria of each of them. The task becomes more complicated when there are multiple stages of product evaluation. A separate aspect of product quality is assessed at each stage. However, at the same time these aspects (parameters) have a qualitative and quantitative influence on each other. Therefore, the article pays much attention to quality criteria. The paper presents the results of the research in the field of quality control automated systems in multiproduct machinery production. It also considers the principles of choice of product quality evaluation criteria, provides a set of quality evaluation criteria developed on the basis of these principles. The paper shows a decision-making mechanism in the system on the basis of production models and Petri nets.

7. Methods and tools for analysing informative features when processing medical data [№2 за 2016 год]
Authors: Bykova V.V., Kataeva A.V.
Visitors: 9998
Many modern hospitals have information systems for storing medical data about their patients’ health. These data are for doctors to recognise (diagnose) pathological processes. However, experts face a problem of dimension in medical data analysis, detection of regularities in these data and their extraction. The dimension of stored data is determined by the number of different features that describe the health of the patient is very large and sometimes reaches several tens or hundreds of factors. Therefore, reducing the dimensionality of the feature space and selection of the most informative features is important for medical information systems. The article describes the problem of selection of informative features as a problem of combinatorial optimization. Its computational complexity is O (2n), where n is the initial number of features. The generalization of this problem with regard to the possibility of designing new factors based on the source features. The article gives a brief review of basic methods of sign space reduction, such as a principal component analysis and a method of extreme group of features. It also reviews statistical methods for estimating informative features used in medical diagnostics: the method of cumulative frequency, Shannon’s and Kullback’s methods. The application of these methods is demonstrated for diagnosing kidney disease. The article describes the program InformSigns, which implements all the statistical methods. InformSigns gives doctors a convenient interface for estimating informative features describing patients’ state of health. This complex can be integrated in specialized medical information systems for diagnostics of various pathological processes.

8. Object-oriented technologies in the method of aircraft body automated design [№2 за 2016 год]
Authors: Bykova I.S., Pripadchev A.D.
Visitors: 8501
The article states and proves the automated design method for a long-range aircraft body using the developed software. The method is based on the algorithm developed using object-oriented programming for developing a software tool that allows determining fuselage characteristics at the preliminary design stage (geometric and constructive, mass, mode, aerodynamic, strength, ergonomic). It also helps to create an opportunity to update exhisting aircrafts and design a family of new aircrafts depending on the customer requirements (from geometric and constructive to ergonomic, i.e. positioning passengers in the cabin of the aircraft). The software tool allows performing iteration calculations of these characteristics and creates a report with obtained results. Then it creates a 3D model of the designed aircraft body using OpenGL (Open Graphics Library) and allows exporting it to the 3D modeling system KOMPAS 3D for further imitation and physical mdeling. The software tool is written in the integrated development environment Microsoft Visual Studio 2010 using the high-level object-oriented programming language C#. The method includes the implementation of information (databank), applied programming and algorithmical software.

9. Development of an online radio mobile application [№2 за 2016 год]
Authors: Bychkovsky D.Yu., Abu-Abed, F.N., Khabarov A.R., Karelskaya K.A.
Visitors: 7493
The article considers the problem of informing the students and applicants of higher education institutions. The authors suggest solving this problem partially using student media and mobile applications, in particular a student radio. A student radio is not just a platform for training of journalists and specialists working with sound equipment, but is also a great mechanism for treatment of news and important events, live or not. An announcer during thematic broadcasting may announce whatever he will be asked or make a note which will include the etheric grid, thus the people listening to the broadcasting at this point will already be aware of what is happening. The mobile application allows accessing radio content from any location with a connection to the network. It may combine not only the means for reproducing the stream from the server, but also many other methods of quick and easy access to different information sources. The article describes data transfer methods from the server to clients, required basic functionality based on analytics for testing tie and the structure of the developed mobile application for on-line radio of the Tver State Technical University. There are also operating algorithms of its services. This article describes the aspects of working with the API requests and JSON data. It also gives the examples of API requests.

10. Training software to perform technological calculations [№2 за 2016 год]
Author: Valko D.V.
Visitors: 9055
One of the important problems in vocational education is the lack of modern problem-oriented teaching and research complexes in a significant part of technical specialties. It is accompanied by inaccessibility of dedicated industry software for educational organizations including the lack of free education equivalents. The aim of the article is to analyze the requirements and to develop software focused on using by the students of secondary vocational education in the specialty 22.02.05 “Metal Forming” in order to acquire professional competencies needed for a steel industry. The article states the criteria and requirements for software solutions in the field of teaching a technology of metal forming. It also analyses the most suitable software products including computer-aided design and modeling systems, their advantages and disadvantages. The developed software product for modeling manufacturing processes of metal forming in terms of calculating calibration systems during rolling by the method of B.P. Bakhtinov, M.M. Shternov, A.I. Tselikov can be recommended for effective teaching students about the basics of setup and operation of high-quality rolling mills and implementation of relevant calculations. The software product differs from its analogues by a simple step-by-step interface and the ability to be integrated into an educational process in the specialty 22.02.05 “Metal Forming” of the secondary vocational education. It allows you performing technological calculations on the calibration systems, such as box pass, diamond-square passes, oval-square passes, hexagon-square passes, oval-round passes, oval-rib oval passes. It provides the ability to edit and correct data while calculating, tabulating the calculations results with the ability to edit and save. The product can build diagrams of basic technological parameters (temperature, absolute reduction, etc.). Testing and introduction of the product is carried out using practical data on the rolling mills of the “Chelyabinsk Metallurgical Plant” in the South-Ural Versatile College, Chelyabinsk.

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