About variability of using of methods of the shape identification based on geometrical correlation
Methods of identification of the form of objects based on the signature analysis and invariant to affine transformations are considered. It is shown as these methods it is possible to apply to surface quality assurance. Questions of sensitivity of these methods are considered. Dependences of these methods on noise are brought.
Various machine learning methods («Recognition» package and «Scikit-learn» package for Python) accuracy comparison was made on example of inorganic chemistry tasks solution. The crossvalidation and the ROC-analysis were applied to accuracy estimation
The paper presents algorithms for automatic detection of non-stationary periods of cardiac rhythm during professional activity. While working and subsequent rest operator passes through the phases of mobilization, stabilization, work, recovery and the rest. The amplitude and frequency of non-stationary periods of cardiac rhythm indicates the human resistance to stressful conditions. We introduce and analyze a number of algorithms for non-stationary phase extraction: the diﬀerent approaches to phase preliminary detection, thresholds extraction and ﬁnal phases extraction are studied experimentally. These algorithms are based on local extremum computation and analysis of linear regression coeﬃcient histograms. The algorithms do not need any labeled datasets for training and could be applied to any person individually. The suggested algorithms were experimentally compared and evaluated by human experts.
The conference proceedings present the results of research of young scientists of the leading scientific organizations of Russia on a wide range of topical problems of Informatics, management and system analysis. Interdisciplinary research and intensive use of data are key features of modern science. The IMSA-2018 conference (Informatics, Management and Systems Analysis) aims to establish stable links between young scientists working in completely different scientific fields, but using similar methods and tools. Such networking can provide significant breakthroughs in research through the exchange of experiences between young and senior colleagues in conference activities. The conference was supported by: Russian Foundation for basic research (grant No. 18-37-10011), Russian Academy of Sciences.
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.
The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:
Part I: best ranked papers; machine learning; pattern recognition; image processing and representation.
Part II: biometrics; handwriting and document analysis; other applications.
Yetnonsynthesized compounds of the compositions A2BHal5, A3BHal6, and ABHal4 in systems of mono and trivalent metal halides were predicted, and so was the type of their crystal structure under nor mal conditions. The calculations were performed by precedentbased pattern recognition methods using a special system for computer design of inorganic compounds. The new compounds were predicted using only the data on the properties of elements and simple halides. DOI: 10.1134/S0036023614120109
This paper is focused on the economic works of the Soviet machine learning pioneer Emmanuel Braverman who published, during the 1970s, a series of papers introducing disequilibrium fixed-price models of the Soviet economy. This highly original theory, developed independently from the Western analyses of disequilibria, proposed some rationing mechanisms capable, under some conditions, to bring a system to the state of equilibrium. However, in a fixed-price economy equilibria are not necessarily optimal or effective, therefore specific observational and analytical procedures aiming at defining the states of the systems’ elements and interventions bringing a system to a better state, had to be invented. This analytical framework was interpreted by Braverman as a “qualitative system of control” of the Soviet economy as a sort of a third-way solution between neoclassical models of spontaneous coordination of autonomous agents and theories of optimal planning. As I argue in this paper, this innovative approach, very different from the styles of reasoning in mathematical economics of his time, was grounded in his work on pattern recognition and was informed by a cybernetic vision of control as information processing and communication in complex systems. This work can be considered as a precursor of the contemporary approaches to algorithmic economic governance.
In this paper we discuss information processing methods in visual sensor networks, analyze methods of increasing energy efficiency of visual sensor networks, associated with image processing on the end devices, propose new method, and review problems which should be research.
This paper addresses the problem of insufficient performance of statistical classification with the medium-sized database (thousands of classes). Each object is represented as a sequence of independent segments. Each segment is defined as a random sample of independent features with the distribution of multivariate exponential type. To increase the speed of the optimal Kullback-Leibler minimum information discrimination principle, we apply the clustering of the training set and an approximate nearest neighbor search of the input object in a set of cluster medoids. By using the asymptotic properties of the Kullback-Leibler divergence, we propose the maximal likelihood search procedure. In this method the medoid to check is selected from the cluster with the maximal joint density (likelihood) of the distances to the previously checked medoids. Experimental results in image recognition with artificially generated dataset and Essex facial database prove that the proposed approach is much more effective, than an exhaustive search and the known approximate nearest neighbor methods from FLANN and NonMetricSpace libraries.
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
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
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.