https://elib.bsu.by:443/handle/123456789/159719 2026-04-21T04:34:38Z https://elib.bsu.by:443/handle/123456789/160149 Заглавие документа: Construction of invertible vectorial boolean functions with coordinates depending on given number of variables Авторы: Pankratova, I. A. Аннотация: An algorithm for constructing invertible vectorial Boolean functions, any coordinate of which essentially depends exactly on a given number of variables, is proposed. 2016-10-25T00:00:00Z https://elib.bsu.by:443/handle/123456789/160148 Заглавие документа: Optimality and robustness in statistical forecasting Авторы: Kharin, Yu. S. Аннотация: The statistical forecasting (prediction) problem of time series is considered for the typical in practice situation where the underlying hypothetical data model is distorted. We present a review of our solutions for the following topical problems of optimality and robustness in statistical forecasting: mathematical description of distortions for typical hypothetical models of time series; quantitative evaluation of the risk-robustness (sensitivity analysis) under distortions for traditional forecasting statistics (that are optimal under hypothetical models); evaluation of critical distortion levels; construction of new robust forecasting statistics. 2016-10-25T00:00:00Z https://elib.bsu.by:443/handle/123456789/160147 Заглавие документа: Offline security for corporate mobile application Авторы: Galibus, T.; Krasnoproshin, V. V.; De Freitas, E. P.; De Sousa Júnior, R. T.; Albuquerque, R. O.; Zaleski, A.; Vissia, H. E. R. M. Аннотация: This paper presents a novel approach to the security of the corporate mobile devices, in particular the offline mode. The protection of the confidential data in use when the mobile client is not connected to the corporate cloud is provided by the combination of the cryptographic methods, such as AES file encryption, ABE authorization based both on user and share attributes, user key secret sharing (SS) based protection between the device and the user as well as MOS-based analytics methods to prevent the malicious user behavior. The proposed security architecture supports the minimized traffic load and reduced communication with the cloud. 2016-10-25T00:00:00Z https://elib.bsu.by:443/handle/123456789/160146 Заглавие документа: The comparison of multi-dimensional data simalarity measurements on the recongnition of human activities Авторы: Bazilevičius, G.; Marcinkevičius, V. Аннотация: Recently a tendency dominates that people acquire various technological equipment to observe their physical activities. In order to get information from the data collected by this equipment, it is necessary to know how to compare or classify it. The similarity measurements are used for the comparison of objects, however, different measurements evaluate different attributes of objects and it is often hard to determine which of them is the most accurate. In this article, the influence of similarity measure analysis is introduced, in order to find out how the similarity measurements impact the time series segment classification. The object of the research is which similarity measurements allow to determine the type of physiological activity the most accurately, when evaluating time series that define human physiological attributes and the attributes of their position in a space. 2016-10-25T00:00:00Z