1. B.Shut’, I.Prozherin. The Solution of a Travelling Salesman Problem by a Method Correlative-Regression of the Analysis
2. M.Kolodnytsky, A.Kovalchuk. Interactive Software Tool for Data Visualisation
3. Y.Nykolaichuk, Y.Kudriashov, V.Yatskiv, T.Lendyuk. Strategy and Perspectives of Creation in the Ukraine of Multilevel Computer Networks with Open Optical Channels
4. I.Vasiltsov, B.Mandzij, A.Bench. Estimation of the reliability, speed and cost parameters of the different type of flip-flops
5. I.Kalchev. The philosophy and driving forces in the development of measurement science - some views upon the problems
6. D.Kalpic, Z.Vanjak, M.Baranovic. Scheduling of examination terms based on past experience
7. O.Mul, A.Segin. Signal Processing and Modeling of Dynamical Objects on the Basis of Their Description as Discrete Information Sources
8. J.Dmitri, K.Spasokukotskiy, H.-R.Traenkler. Technical base for separated rooms climate automatic control
9. G.Lipnik, V.Matko. Monitoring of The Heat Transfer in Buildings
10. V.Nichoga, L.Dikmarova, P.Dub, Z.Kaczmarek. Sensor Systems for Equipment for Determination of Stochastic Electromagnetic Field
11. C.Kosmatopoulos,  N.Tsagourias. Development of a Stand Alone Monitoring System (S.A.MO.S.)
12. Y.Tanimoto, A.Tokuhiro, H.Takechi, H.Takechi, H.Yamamoto. Measurement of SCI Patient’s Buttock Pressure on Wheel chair and Bed
13. P.J.A. Reusch. Metadata - A Key to Data Acquisition and Information Retrieval
14. S.Rippa, J.Smolij. Problems of the operating analysis of bank Very Large DBMS
15. R.Pasichnyk, B.Maslyyak, V.Vitsentiy. Modeling of products sale velocity and products recommended structure on the basis of a data reduction method
16. E.Marecka. Informational and analytical system for support of financial and credit activity: models of base and monetary credits
17. M.Vatkin, R.Sadykhov. An Application of “Neocognitron” Neural Network for Integral Chip Images Processing
18. R.Mihali, T.Sobh, V.Koval, T.Korkishko, A.Sachenko, V.Kochan. Web Based Virtual Robot Prototyping and Manufacturing
19. A.Felfernig, G.Friedrich, D.Jannach, C.Russ, M.Zanker. Multi-site product configuration of telecommunication switches
20. M.Oguchi, M.Kitsuregawa. Implementation and Evaluation of Runtime Data Declustering Method over SAN-Connected PC Cluster

        Introduce a solution of a traveling salesman problem and it solve by the method of correlative-regression analysis. Show mathematic model of this method, which allow to solve this problem with minimum value of memory and have small runtime.

        In this paper after a brief enumeration of the software for data visualisation we give a set of demands for this sort of software. We discuss the users interactive and adaptive interface of scientific data visualisation software system entitled “Graph Server” which was designed and developed by authors. The examples of the interface’s control panel and the samples of the screen shots of 2D/3D Hodograph Curve, 2D/3D Histogram, 3D Surface, 2D Area are presented.

        In the article the problems and directions to create a wide class of distributed computer networks and effective principles of data encoding in realization of digital communication channels are analyzed. We consider the directions of development the range of optical frequency transfer systems for the given multilevel computer networks. The advantages of fiber-optics communication lines using opened optical channels are compared. It is shown the perspectives of the distributed computer networks development on the basis of opened optical channels. In the article there are also stated the theoretical bases of multilevel computer networks construction with opened optical channels. Also there are described the architecture of different classes of multilevel computer networks with opened optical channels. Besides there is considered the advantages of application the computer networks which use an opened optical channel.

        In this paper the approach for estimation of three most important parameters of the designed computational devices has been proposed. On the basis of the proposed approach the developer can estimate the reliability, speed and cost parameters called as “global optimization criteria”. It allows to choose the optimal structure of the designed computational devices at the early stages of designing. As an example different type of flip-flops have been investigated. Their global optimization parameters criteria have been estimated. The analysis of the investigation results shows that the values of these parameters depend on specific realization structure of the devices and input transition as well. The proposed approach can be applied for evolutionary multi-objective optimization algorithms.

        A necessary background for clear outlined existing of each science in the so fast changing world is its permanent development in theoretical and applied aspect for solving today's problems and visions in the future. In this respect for the modern sciences, more important role play theories, that not only generalize and explain the known facts and phenomena, but serve for predicting and achieving new levels of knowledge.
In this paper the methods of teaching in the discipline Distributed Measurement Systems and in particular, the laboratory exercises carrying out by the students of Faculty of Automation and English Language Department of Engineering in Technical University of Sofia are presented.

        A faculty with few thousand students, two studies and few hundred subjects faced the problem of how to devise the examination schedule. The aim of the examination schedule is to maximally disperse the examination terms as perceived by the students. Mixed-integer model turned out to be too complex and therefore genetic algorithm was applied. The achieved results were satisfactory enough to be accepted in the current academic year

        Modeling of processes in dynamical systems of different physical nature is a relevant problem that can be succesfully solved with a help of their description as discrete information sources (DIS) and integration of different sensor signals imaging system characteristics of objects. We made an attempt to combine a body of  mathematics for description of dynamical objects on the basis of differential equation systems with their description with a help of statistical, correlation, entropy, logico-statistical models. It allows to give paralleling of computational procedures and increasing of model accuracy.

        The paper deals with technical problems of automated decentralised indoor climate control in residential buildings. The lead value for the realisation of the control system is the objective thermal comfort. The measurement system to be designed works as a network between a large variety of different sensors and actuators. A comprehensive and flexible EIB networked instrumentation using cheap commercial and prototype sensors and actuators has been created and tested in a realistic test environment. In the paper, the conditions for a modern room climate control are discussed and the technical base for data acquisition system containing several different data collection channels is presented. Extensive measurements with the reliable, fully redundant data acquisition system showed its applicability in residential buildings. Based on the presented concept, different systems configurations can be realised. Following the results, a low-cost decentralised automated room climate control system is able to become a new standard in low-energy buildings, opening a huge market potential.

        In paper is introduced measurement method for monitoring of temperatures on big objects. Measurement equipment used in method and results on known object are also introduced. When temperatures are monitored for a long period of time (at least 14 days), the lost of heat, quality of isolation and quality of heat regulation can be estimated.

        A sensor system for equipment used for determination of stochastic electromagnetic field parameters is considered. The system is intended for underwater electromagnetic probing on sea shelf. New highly sensitive induction sensors elaborated for this purpose are described. A new procedure for determining orientation of sensors at the sea bottom are proposed.

        Environmental monitoring is nowadays a common instrumentation application, not only in cases where scientific information is needed, but also for pollution control and development planning of certain sensitive areas. This paper describes the development of a Stand Alone Monitoring System (S.A.MO.S.) which is actually a complete monitoring station for environmental measurements in rivers, lakes, lagoons and other sensitive eco-systems. S.A.MO.S. is capable of performing scheduled measurements by sensors or other independent electronic measuring instruments, and stores data locally in a memory module. Measurement data may then be transferred to a PC computing system for further analysis either by using cellular phone network or via a UHF transceiver. Validation of measurements is achieved by system’s self check control and warning signals can be sent to authorized personnel in case of errors. The basic features and the configuration of this system are presented in this work.

        The prevention of the pressure sore is a serious problem for patients with spinal cord injuries (SCI). It is the most important for SCI patients to relieve the buttock pressure for prevention of pressure sore. Many kinds of pressure-relieving cushions and mattress have been developed to distribute the weight evenly and widely. We previously measured the buttock pressure of SCI patients using Tekscan pressure measurement system to evaluate the pressure distribution. In this study, we propose the evaluating system of the buttock pressure distribution. Using this system, the medical staffs can easily adjust the air quantity of the air cushion for each SCI patient for prevention of the pressure sores. Moreover we measured the buttock pressure in four kinds of posture on the bed to indicate the pressure relieving effect of the mattress. The air mattress has a high pressure relieving effect at the sacro-coccygeal regions in all postures on the bed.

        Metadata have a long tradition in several areas. Metadata help to structure data or documents and to classify the contents. Today it is important to recognize the power of existing metadata (thesauri, classifications, ...) and to use such metadata and to expand such metadata for advanced data acquisition and information retrieval. To expand metadata modern learning systems should be used and an open communication model, that integrates different aspects of data and metadata. Results of an information retrieval project are described and a new multi-level model of metadata is introduced.

        This document present the approaches to construction of systems of the operative analysis in bank branch on the basis of the Very Large Data Base Management systems (DBMS). The theoretical and practical aspects of modeling of data warehousing in financial accounts, given in view of specifity are considered. The methods of a combination of conceptual and relational models of Data Base (DB) in technologies of the operative analysis for creation of data warehousing (DW) and bases of knowledge are offered.

        This article presents an algorithm of selection of the most informative products parameters, so that the products sale velocity can be predicted. The method is based on statistical information about sales with the help of data mining procedures. The constructed decision tree allows to refer a analyzable product according to its attributes values to a cluster of sale velocity. A decision tree structure gives developments of new products information about what attributes of products influence sales most essentially. It provides direct search to the designers.

        The mathematical models for consolidation of credits, which are repaid in complete instalments, are proposed. The developed models take into account various ways of charge of interests: simple or compound interest, fixed or floating interest rate. The created mathematical aparatus enables to compare the costs of credits, and to find the optimum conditions of granting the credits.

        The architecture of “neocognitron” neural network in the task of search of structural units on a gray scale image of an integrated circuit is considered. The updated rule for activation of the network neurons invariant to distortions of brightness is represented. The comparative outcomes of recognition have shown an advantage of neural network approach.

        Developing an environment that enables optimal and flexible design of robot manipulators using universal reconfigurable links, joints, controllers, actuators and sensors is an essential step for efficient robot design and prototyping. Robot control has to be made by a universal controller with remote hardware and software reconfigurations. This technique allows to create an optimal configuration of software and hardware components for designing of the specialized robot, its algorithmic control and rapid prototyping.

        Knowledge-based product configurators support their users in tailoring configurable products according to their specific demands and these systems have been successfully applied in many industrial sectors over the last decades. However, within today's networked economy, the complex solutions offered to the customers are in many cases assembled from configurable sub-products themselves. Within this paper we describe a business case where due to organisational and confidentiality reasons a single-configurator approach is not applicable and several configurators along the supply chain must cooperate in finding correct product configurations and in presenting them to an online customer. We present an algorithm based on Constraint Satisfaction that takes the specific characteristics of the problem domain into account and compare our approach to other work in the field of Distributed Problem Solving.
        The implementation framework for distributed configuration which is currently developed in the EU-funded project CAWICOMS is discussed in the final sections.

        In this paper, a PC cluster connected with Storage Area Network (SAN) is built and evaluated. In the case of SAN-connected cluster, each node can access all shared disks directly without LAN; thus, SAN-connected clusters achieve better performance than LAN-connected clusters for disk access operations. However, if a lot of nodes access the same-shared disk simultaneously, application performance degrades due to I/O-bottleneck. A runtime data declustering method, in which data is declustered to several other disks dynamically during the execution of application, is proposed to resolve this problem.
        Parallel data mining is implemented and evaluated on the SAN-connected PC cluster. This application requires iterative scans of a shared disk, which degrade execution performance severely due to I/O-bottleneck. The runtime data declustering method is applied to this case. According to the results of experiments, the proposed method prevents performance degradation caused by shared disk bottleneck in SAN-connected clusters.