Software & Systems

Articles of journal № 3 at 2011 year.

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41. «OASIS»: decision support system for the information security [№3 за 2011 год]
Authors: Бондарь И.В., Гуменникова А.В., Золотарёв В.В., Попов А.М.
Visitors: 10753
Here is presented a decision support system for information security. It is proposed technique for estimating the information security systems stability to the various types of negative impacts, based on threats vector representation and geometric modeling attacks on information resources.

42. System of taxonomical terms recognition In natural language documents [№3 за 2011 год]
Authors: V.N. Yakimov, Мошков И.С.
Visitors: 10240
Article under the title examines features of natural language texts, describing taxonomic structure. The article defines membership criteria that help to classify a particular element of compound term. Construct system of terms analysis which make allowance terms structure and ways of representation in the text.

43. Business processes and administrative regulations management system [№3 за 2011 год]
Authors: Михеев А.Г., Орлов М.В.
Visitors: 17693
An enterprise business processes management system has been developed. It could be as well used to manage workflow of various administrative arrangements. The system has an open source and is platform independent (coded on Java). It has been installed and used in production on an enterprise with over 700 users.

44. The joint description of spatial and attributive data on the basis of multivariate information objects [№3 за 2011 год]
Author: O.I. Khristodulo
Visitors: 13788
The method of the joint description of spatial and attributive data on the basis of the multivariate information objects has been proposed which can be used for integration of diverse databases in corporation information systems. It allows to describe each type of geographical object in the form of MIO, to reach a generality for the object’s layer description between different types, to simplify the existing database structure of data processing systems and to make model of data observable and understandable.

45. Management of intellectual resources of projects in the field of nanotechnology [№3 за 2011 год]
Authors: Stoyanova O.V., Dli M.I., Васицына А.И.
Visitors: 16751
This article describes an approach to management of intellectual resources of projects in the field of nanotechnology. It covers the stages from the initial accumulation of data and obtaining of intellectual resources to creation the models needed to build the knowledge base of the project, which includes all the available intellectual resources. An example of the practical use of the developed approach for the project to obtain glass-matrix composite materials based on titanium carbide is resulted. Particular attention is paid to the phase of research characteristics of the intellectual resources, which are represented in the form of mathematical models, and allow to estimate the oxidative properties of the composites.

46. Risk management in software projects of high reliability [№3 за 2011 год]
Authors: Налютин Н.Ю., Рябов В.А.
Visitors: 14790
Primary subject of this paper is risk management process embedded to mission-critical software development life cycle. Authors propose the method for qualitative and quantitative risk management, allowing to evaluate total risk of software development project.

47. Evolution algorithm of decision tree building [№3 за 2011 год]
Authors: Ржеуцкий А.В., Суконщиков А.А.
Visitors: 17272
The new approach to solution of classification problem based on decision trees has been proposed, which uses the genetic heuristics combination method. This approach allowed to increase the accuracy of classification with maintaining all advantages of decision trees.

48. Solution to the problems express diagnosis and prognosis of ARVI by means of fuzzy-logic expert system [№3 за 2011 год]
Authors: Uskov A.A., Шипилов М.В., Иванов В.В
Visitors: 15598
This article describes an expert system «Express-diagnosis and prognosis of ARVI» constructed on basis of the algorithm deductive fuzzy inference using a base of approximately 1,000 of fuzzy production rules obtained by the expert. Shows the input and output of an expert system, the results of its experimental use of the probability correct diagnosis more than 95 %.

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