Системный подход к принятию решений и обработке речевой информации на основе метода нечеткого фонетического кодирования
The article discusses the methodology of system analysis in speech recognition for autonomous information systems with a voice interface. We proposed the novel computationally efficient algorithm of decision-making and speech processing with fuzzy phonetic decoding based on the theoretic information approach. In this algorithm the relationships between different phonemes are used to improve the recognition accuracy. This algorithm is implemented in information decision support system with speech processing. Its functional scheme is described. In the initial stage we perform an initial learning of the operator to pronounce each phoneme stably. We experimentally compare our algorithm in isolated words recognition problem for Russian language with the known hidden Markov models and deep neural networks. It was demonstrated that the proposed approach makes it possible to achieve both high accuracy and low runtime and space complexities required to store an acoustic model.
Propaedeutics of engineering culture in the school should not be limited by familiarity with the school robotics. It is necessary to the development of other components of the engineering culture, such as TRIZ, system analysis, project management, and others. The possible content of these components and the ability of their studying in the "Permian version" of a propaedeutic course of computer science ("TRIZformatics") and contest "TRIZformashka" are discussed.
The paper is devoted to theoretical research of interrelated instruments of stakeholders system analysis and their interests, as well as a certain sequence of their usage. The studied instruments were applied in practice to solve the problem of inefficient logistics of LLC «Lyra».
The article deals with the system analysis of the term psycho-pedagogical culture from the ontological and gnosiological aspects.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.