Abstract: The subject of research is the organization of educational process in higher education using computer technologies. The majority of universities are preparing students in technical fields. The other part in humanitarian, professional and special training areas.Most of these universities were forced to pass the path of perfection of computer technologies of training with the application, ultimately, qualitatively the same learning tools, software, actually duplicating all the necessary work. Meanwhile, requirements to knowledge and skills of students in different universities vary greatly.In this regard, relevant comparative study of the curricula requirements of the preparation and its individual disciplines with the aim of unifying computer hardware and software support of educational process on the one hand and requirements to the level of computer training students of different specialties from the other side.The object of study is the part of curricula and programmes associated with student learning microprocessor technology and software.The author examines such topics as aspects of applied simulation technology microprocessors and microcontroller system with recommendations for their use at the project development stage.Special attention is paid to the practical use of the available student in the learning process of computer tools and software, and the advantage goes to the self-selection of students projects and their creative decisions in the process.Using a systematic analysis of curricula, in particular the decomposition of their software into clusters with allocation of requirements to the level of knowledge and skills of students, then the classification and ranking of areas of training in terms of requirements to knowledge and skills of students and the allocation model of the universities-representatives of typical groups of standards.Further requirements for the technical equipment and software requirements of universities at the level of the relevant requirements for each of the selected clusters and implementation of experimental verification of the proposed approach on the basis of selected universities – members of different clusters. The scientific novelty of the proposed approach to the overall organization of the study of microprocessor technology and software in the education system is:1. In light of the specific requirements, level of knowledge and skills in all areas of training when planning for hardware and software in their educational process.2. In the application of system analysis methods for the separation of all institutions from the point of view of a microprocessor learning software grades the level of requirements to knowledge and skills of students and to form cluster universities of equal rank in the organisation of education.The main conclusions of the study are:1. Despite the wide range of variation for the level of knowledge and skills of students in various areas of training may be basic, common to all universities the level of training that ensures confident use by all students knowledge level qualified users microprocessor and microcontroller technology, while reducing the cost of basic microprocessor organization of training of students of all universities.2. Microprocessor training in universities with higher requirements for knowledge and skills students may also be held on the basis of unified for schools of the same grade of computer and software.3. The proposed solution is experimentally tested at two universities.4. The application of the proposed approach increases the students ' interest to study of microprocessor and microcontroller technology, stimulates their interest in the specific design of products with their practical use.

Keywords: basic level training, computer software, organization of training, remote laboratory practice, microcontroller, microprocessor-based systems, modeling, qualified user, system analysis, cluster

Abstract: In their article the authors discuss ways to improve the performance of the enterprise by increasing the speed of access to data bases and overall system reliability. They study the characteristics of the data storage systems such as IOPS (the number of input-output operations per second), types of storage devices and how they connect. The authors also analyze specific scenarios of using data storate systems depending on their process connections and other basic characteristics as well as their application at the enterprise. The authors discuss further ways to expand the disk space and actions to be undertaken during when scaling of enterprise computing networks taking into account the emergence of new hybrid storage solutions based on flash memory. At the beginning of the article the authors discuss types of data storage and compares data storage sytems depending on enterprise objectives. They also study methods to select connections as well as advantages and disadvantages of each of them by studying the specifications and features of the software and hardware storage systems. The impact of IOPS on the speed of getting access to databases is also analyzed. The authors provide a table where characteristics of various data storage systems are compared. As a result of the work they identify specific patterns of using the storage system for small and medium-sized enterprises. This approach to the problem allows to create a flexible solution that does not require the complete replacement of the equipment by increasing the required disk space and connecting additional servers, thus improving the economic and process efficiency of the enterprise. 

Keywords: fault tolerance, network storage, disk arrays, SSDs, hard disks, hypervisors, storage system, servers, client-server, scalability

Abstract: The research question is the semantic relatedness of terms. The target of research is measure the semantic relatedness of terms. The authors consider such aspects as the rationale for the choice of the theme of background knowledge, the construction of a graph of links and measurement of relatedness between concepts. In earlier studies the authors of semantic proximity is calculated based on the statistical characteristics using different contextual analysis methods, such as latent semantic analysis. This work is the first experience with the reference methods for determining a semantic relatedness. Therefore, the focus placed on ease of calculation steps. Evaluation semantic similarity is based on the WLM method and proximity measure for separate types of references of M. I. Varlamov, A.V. Korshunov. In contrast to the well-known measures of semantic proximity, based on the use of Wikipedia proposed in the measure uses a simple links Wikipedia articles such as "See. Also" and "Links". This approach allows us to raise the performance of the algorithm and is designed for use in applications requiring high accuracy of the result is not, and better performance of the algorithm. These tasks include establishing a correspondence between the competencies and educational standard annotations disciplines of the curriculum or the task of analyzing the students' answers to the open questions in the form. The developed measure is cheap, reasonably accurate and accessible.

Keywords: link, structure of article of Wikipedia, the database of Wikipedia, background knowledge, semantic similarity of concepts, concept, link graph, distance between concepts, count indexing, link-based Measure

Abstract: Achieving the objective conditions of functioning institutions, socio-economic systems it is inextricably linked to improving the efficiency of the work of individual artists. The most important role is occupied by the complex questions of assessment activities, the rational choice of metrics. In other words, any evaluation system must implement a certain paradigm of the process approach - effective management is possible only if quality measurements. Initially, any rating system should provide some degree of freedom, which allows you to quickly adapt to changing operating conditions.The article examines the creation of rating systems based on the principle of an open (agreed) management . Architecture of the system variable, focused on the use of agile software development , in which the major subsystems interact with each other through interfaces . The basic idea is to use a two-stage approval procedures and metrics objects activity in each period of the system. On the one hand, this approach allows you to refine and specify the metric used on the new range planning based on previous experience. On the other hand, in the control loop feedback appears to the actual perpetrators of that form applications centered, tailored to their needs, wishes and preferences. The system evolves with each new stage of its activity, new elements are introduced and the conditions that allow to actualize the past experience, the new range planning. Thus, the artists performed directly involved in the formation of corrective actions.The purpose of using open controls in the rating systems is to create the architecture of changing the system , where the main participants are motivated to make changes. The changes are necessary because the human, social and economic groups are on the move and constantly evolving.

Keywords: management teams, multi-level system, evaluation, open management principle, the agreed principle of management, the working efficiency, rating system, multiagent organizational systems, active systems, organizational systems

Abstract: The subject of research is the development of key performance indicators of tax consultants. Object of research are the key performance indicators. It is proved that the key performance indicators of the business process tax advice is a measure to achieve the strategic objectives of the company, with which you can evaluate the activities and improve the performance of tax consultants, as well as to develop optimal approaches to the professional development of staff. It clarified that each figure should be: (1) clearly defined; (2) is achievable; (3) comparable; (4) contribute to the motivation of the personnel; (5) is the basis for the analysis.In this paper, using econometric and statistical methods, as well as using the program «Mathlab» (application «Fuzzy Logic») performance indicators tax consultants decomposed under the Balanced Scorecard and are considered by categories: (1) finance; (2) markets and customers; (3) business processes; (4) training and development.Decompose the evaluation parameter "Finance" on several input parameters (1) the level of income; (2) the level of costs; (3) the level of intangible assets (goodwill).Decompose option "Markets and customers" on the following inputs: (1) the level of customer savings (the base value for the customer); (2) the level of image and reputation; (3) quality of service (compliance with the law, the level of efficiency); (4) to attract customers; (5) retention of customers.Decompose option "Business Processes" on the following inputs: (1) maintain the level of competence (knowledge of the legislation, industry knowledge, experience); (2) the level of maintenance of lobbying the interests of taxpayers; (3) the level of effectiveness of the internal quality control; (4) the level of understanding of customer needs, the effectiveness of communication with customers; (5) The effectiveness of the internal exchange of information; (6) the level of compliance with the requirements of the services market; (7) the level of costs.Decompose option "Training and education" on the following input parameters: (1) the level of provision of search and recruitment of professional staff; (2) the professional qualifications of staff; (3) quality control and knowledge management; (4) the level of compliance with corporate and personal goals.The evaluation of the linguistic variables for the index of "Finance". To solve the problem of fuzzy set of input rules. The question of the application of fuzzy modeling functions in the selection of key performance indicators.

Keywords: fuzzification of input variables, fuzzy inference rules, thermae, estimation parameters, function fuzzy modeling, Key Performance Indicators, accumulation, defuzzification, fuzzification, aggregation of data

Abstract: The subject of the present research is the development of the algorithm for the fast inverse discrete transform of the 8x8 ITU-T H265 (HEVC) video coding standard. The authors of the article analyze differences between the structures of the inverse transform matrix and inverse discrete cosine transform matrix as well as approaches that may be applied to factorization of the aforesaid matrix. They also provide an evaluation of a number of operations necessary to perform the transfer. The authors conduct a numerical experiment to prove the efficiency of the developed algorithm from the point of view of the speed of performance on the central processing unit (CPU). The research method used by the authors is the theoretical analysis and numerical experiment including collection of relevant information and analysis of results. To conduct the numerical experiment the authors have written a C-language program that executes a standard algorithm of the inverse transfer (direct multiplication of the transform matrix and coefficient vectors) and the fast algorithm of the inverse transfer as it is described in the theoretical part of the research. Then the authors have compared the productivity results. The novelty of the research is caused by the fact that the authors offer a new algorithm for the fast transfer of the 8x8 HEVC standard and the scheme of inverse matrix factorization. Compared to previous researches and algorithm, the given algorithm requires fewer arithmetic operations, thus takes less time. At the end of their research article the authors make conclusions regarding the possibility of the fast inverse transfer of the HEVC standard, offer their own scheme for the aforesaid 8x8 matrix factorization and develop the fast algorithm for the inverse transfer based on the discovered factorization schemes. 

Keywords: algorithm analysis, lossy compression, codec, video compression, inverse discrete transform, matrix factorization, fast algorithm, HEVC, software codec, hardware codec