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  • Hybrid reverberation algorithm

    A hybrid reverberation algorithm is offered in this article. This algorithm is using both a convolution section in which a convolution with an inmpulse response of a real acoustic room is being implied and a mathematical reverb model. Also an algorithm for generating impulse responses of optional rooms is also offered in the following article. The algorithm efficiency calculation is  specified in the article. Thia reverberation algorithm is a part of a bigger complez auralization algorithm where it is being used coherently with an HRTF-based algorithm in order to simulate a real acoustic environment  

    Keywords: artificial reverb, room simulation, convolution algorithm, impulse response convolution, impulse response synthesis, dynamic convolution, complex filtering

  • Features of mm communications systems design

    The problems of mm propagation: rain attenuation,  depolarization and gaseous absorption are considered, and the estimate of the energy potential of wireless mobile data transport networks is given. The dependence on the output power of the distance and the total losses, and the necessary signal levels for different types of modulation being shown.  The estimate of the interfering transmitters effect of side lobes of the antenna is given.  

    Keywords: radio wave propagation, mm range, energy potential, rain clutter, side lobes, polar pattern

  • Problems of intelligent means of search, analysis and processing of biomedical information

      The work associated with the creation of an information system for working with a specialized knowledge base of common-date information, the results of research and developments in the field of medicine, as well as connectivity and clustering around a common core of information is different directional information systems for optimize of medical services, and, consequently, improve the quality of investigations and treatments of various diseases. Implementation is proposed with client-server technology, hardware virtualization technologies and data mining technologies by data clustering with neural networks.  

    Keywords: Intelligent search, neural networks, data collection systems, search systems, knowledge base

  • Development of defensive infrastructure in the St. Petersburg agglomeration

      Describes the status of defense infrastructure of Saint-Petersburg agglomeration, in the transport, engineering and social, and proposed the ways of its perspective development.

    Keywords: urban agglomerations, city, frame, transport, defense, defense infrastructure

      In article the key parameters necessary for an assessment of a residual resource are considered and the conclusion, about lack of an effective method of an assessment of a residual resource for hydraulic engineering constructions is drawn. An overall objective of carrying out operational monitoring of a technical condition of water carrying out constructions are identification of deterioration of degree of physical wear, the reasons causing their condition, the actual operability of elements and development of actions for providing their various operational parameters, and also the description of a technical condition. The risk of failures and defects on vulnerable objects which many water carrying out constructions - tunnels, channels concern, dyuker, lotkovy channels and pipelines is most dangerous.

    Keywords: the hydraulic engineering constructions which are water carrying out channels, nondestructive control methods, a residual resource, modeling, a technical condition.

  • Linear classification of objects using normal hyperplanes

      Is devoted to the actual problem of constructing classifiers objects given by a point in a multidimensional space of feature values. A version of the geometric separation of sets by hyperplanes normal to the center-distance data sets. This approach to separating planes reduces the computational operations performed. This author separability criterion allows a normal quite effective in terms of computational complexity the exact solution of the normal separation, which requires only a linear search of points separated sets. Proposed in the article the approach to classification of sets in the multidimensional space of values ​​of their attributes can be used as a starting point for building effective in terms of computational complexity classification not only for normally separable sets, but also for more complex variations thereof. This is the most significant practical importance of materials submitted by the authors.

    Keywords: recognition, classification, feature space, the geometric method

  • Formation of the system of production quality assurance based on the use of the process aproach

    This article is dedicated to theoretical issues of development of the production quality improvement system in the small- and middle-sized enterprises. This system is based on the process-based approach. Briefly the theoretical issues of process-based approach and the main concepts are given. The concept of production quality improvement system and the distinctions from well-known process-based quality management are also given. Objectives and principles of this system are defined by the authors. Also the recommendations by selection of method of assessing the effectiveness of the system.

    Keywords: quality production management, process-based management, quality management system, small- and middle-sized enterprises

  • Outsourcing as a tool decreasing logistics risks in the supply chains including water transport

    Many logistics companies prefer to entrust performance of some non-core functions to external specialized organizations known in the service market thus redistributing and decreasing various risks. This is essential in supply chains of considerable length involving water transport and multiple contractors in many countries.

    Keywords: Sea transport, Logistics risks, Outsourcing

  • Algorithm and software implementation of adaptive learning method of artificial neural networks

    The article offers a general gradient methods for all-adaptive method. With the help of an experimental environment was developed by a comparative analysis of gradient methods of finding the minimum. As a result of experiments, it was found that the adaptive method for approaching to a minimum minimal number of iterations. Thus encouraged to use this method in the optimization of the error function, artificial neural network training. 
    Keywords: neural networks, gradient methods, teaching methods, analysis of optimization techniques.

    Keywords:

  • Information about authors (№3, 2011)

    Information about authors of issue №4 (2011)

    Keywords: authors

  • Information about authors (№3, 2010)

    Information about authors of issue №3 (2010)

    Keywords: authors