Society has always paid great attention to the problem of human behavior that does not comply with established social and generally accepted norms. Recently, interest in the problem of deviations in human behavior has increased significantly. Today, the study of deviant behavior is an interdisciplinary problem that is being solved within the framework of various scientific disciplines. Recognition of anomalies in human behavior is a complex and currently undisclosed research problem. In the process of identifying behavioral anomalies, the recognition of emotions by various signs plays a leading role. In order to increase the accuracy of the results, it makes sense to perform a comprehensive assessment of emotions on several signs at once, such as facial expression, posture, vocal signs (intonation, speech speed, etc.). The article presents existing algorithms and methods for recognizing emotions. The rationale for the choice of software product development tools is given. The functional requirements for the application are presented in the form of a diagram of use cases in UML 2.0 notation. The architecture of an Android application for recognizing anomalies in human behavior in the form of diagrams of components and classes of the conceptual level is shown. Prototypes of the user interface are demonstrated.

Keywords: abnormal behavior, algorithms and methods of emotion recognition, software architecture, functional requirements, user interface

Introduction: The paper discusses methods to solve the problem of searching inactive queries for Oracle Databases in example . If there are no clear reasons for Deterioration of performance, database managers need to analyze very large amounts of statistical information provided by database management. The aim of study: to visualize the information, it is proposed to perform initial intellectual analysis the formation of a parameters model for the query to classify and Separate set of requests. Scope of work . Each query is described by three sets of parameters: specified query execution plan parameters, real implementation plan parameters, and the characteristics of the implementation environment. its consider according to the characteristics, purpose and importance of each set of parameters and the methods to get them .its depends of selection the parameters to use in SQL query model ,query execution conditions and data base settings (DBS). Moreover, its depends on fails in the nature of the system for client programs. Problem statements. The problem is formulated by the dynamic formation in the inactive SQL query model from some of sets parameters that already contained identifiers. Conclusion: The proposed of this approach will speed up the search for inactive queries and can be extended to others databases, with consider their characteristics.

Keywords: SQL, query, DBMS, Oracle, inefficient SQL query, grouping, clustering

The work contains the approximation of the third boundary value problem of schemes of high order. The approximation of the operator of the convective and diffusive transport difference schem were obtained, which has the fourth-order approximation error. The discrete operator diffusive transport in the absence of the influence of the boundary was considered.The construction of schemes of higher order accuracy approximates the operator diffusive transport in the border nodes in the case of boundary conditions of the third kind with the second order of accuracy was found.

Keywords: Schemes of high order, diffusion, diffusion transfer, discrete operator, approximation, boundary conditions, boundary value problem, finite-difference scheme

The paper contains a description of a new method for automatic generation of maps of goods placement. Map of goods placement created by the author's search algorithm. The algorithm is based on ideas of evolutionary search. The proposed algorithm works with a population of constant size, allows not use complex search methods and for a reasonable time find a solution close to the optimum.

Keywords: simulation, evolutionary computation, multicriteria optimization, genetic algorithms