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Karavaev N.L.,Vyatka State University
Scientific and Technical Information Processing | Year: 2016

This paper considers the modern referencemanagement software as one of the instruments for the automation of scientific activity. Its description, architecture, and basic principles are presented. The key functions that are performed by the referencemanagement software are uncovered. The most popular of these software systems are briefly reviewed. © 2016, Allerton Press, Inc.


Nikulin V.,Vyatka State University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

Recommender systems typically produce a list of recommendations in one of two ways - through collaborative or content-based filtering. Collaborative filtering approaches build a model from a user's past behavior (items previously purchased or selected and/or numerical ratings given to those items) as well as similar decisions made by other users; then use that model to predict items (or ratings for items) that the user may have an interest in. Content-based filtering approaches utilize a series of discrete characteristics of an item in order to recommend additional items with similar properties. These approaches are often combined, and called Hybrid Recommender Systems. In this paper we present hybrid recommender system, which was used online during ACM RecSys 2013 Contest, where we were awarded 2nd best prize. The contest was based on the real data, which were provided by Yelp - US internet based business recommender. © 2014 Springer International Publishing Switzerland.


Nikulin V.,Vyatka State University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

One way to optimise insurance prices and policies is to collect and to analyse driving trajectories: sequences of 2D-points, where time distance between any two consequitive points is a constant. Suppose that most of the drivers have safe driving style with similar statistical characteristics. Using above assumption as a main ground, we shall go through the list of all drivers (available in the database) assuming that the current driver is “bad”. We shall add to the training database several randomly selected drivers assuming that they are “good”. By comparing the current driver with a few randomly selected “good” drivers, we estimate the probability that the current driver is bad (or has significant deviations from usual statistical characteristics). Note as a distinguished particular feature of the presented method: it does not require availability of the training labels. The database includes 2736 drivers with 200 variable length driving trajectories each. We tested our model (with competitive results) online during Kaggle-based AXA Drivers Telematics Challenge in 2015. © Springer International Publishing Switzerland 2016.


Prokashev A.M.,Vyatka State University
Eurasian Soil Science | Year: 2012

A plowed soddy-calcareous soil with relict features developed from Permian clayey calcareous soil was described for the first time in the area of soddy-podzolic and gray forest soils of mixed forests in the middle and lower riches of the Vyatka River. This soil was thoroughly examined by physical, chemical, biochemical, radioisotope, and physicochemical methods. A second humus horizon enriched in calcium humates was described in this soil. Its age was determined at about 7200 yrs. This horizon attests to the presence of in situ postcarbonate pedorelicts in the soil cover of the eastern Russian Plain. The studied soil was formed during the Atlantic optimum of the Holocene under conditions more favorable to humus-accumulative processes as compared with those during the subsequent period. The soil evolution in the second part of the Holocene was characterized by the partial preservation of the previously formed features with the development of eluviation features under colder and wetter climatic conditions. This intrazonal soil is genetically close to gray forest and soddy-podzolic soils with residual second humus horizons that are widespread on the Vyatka-Kama interfluve. The evolution of the latter soils in the second part of the Holocene has been driven by eluviation processes that gradually eliminate the features of the second humus horizon from the soil profiles. © 2012 Pleiades Publishing, Ltd.


Chistyakov A.,Vyatka State University
Proceedings - UKSim-AMSS 8th European Modelling Symposium on Computer Modelling and Simulation, EMS 2014 | Year: 2014

One of the challenges facing the researcher in the field of mobile ad-hoc networks is estimation of the mathematical models effectiveness. Due to very high complexity of network models consisted of large numbers of nodes moving with arbitrary speed, simulating using discrete-event systems has become the main tool to calculate the metrics of the developed models compared with the state of art solutions in the target area. NS-3 is one of the discrete-event simulators, widely used by researchers. Most papers omit technical details of experiment environment, making reproducing of results a difficult task. In this paper we propose a software architecture based on modern technologies that aims the goal of creating reproducible and easy scalable computing environment to run, manage and collect results of multi-simulation experiments using NS-3. We decompose this task and observe different tools and approaches that can be used as part of such system. Proposed system can be useful for driving experiments in wide range of research areas from evaluating of software defined radio models to ad-hoc networks routing protocols. © 2014 IEEE.


Nikulin V.,Vyatka State University
Proceedings of the International Joint Conference on Neural Networks | Year: 2015

While dealing with BigData and with data streams in particular, it is a common practice to summarize or aggregate customers' transaction history to the periods of few months. Consequently, we shall compress the given huge volume of data, and shall transfer the data stream to the standard rectangular format, where columns represent secondary aggregated features and rows represent customers. This data-matrix is suitable as an input to many classification or regression machine learning models. Using those models, we can explore a variety of practically or theoretically motivated tasks. For example, we can rank the given field of customers in accordance to their loyalty or intension to repurchase in the near future. This objective has very important practical application. It leads to preferential treatment of the right customers. It also reduces the likelihood of bombarding customers, who are less likely to purchase, with marketing material over email or postal mail. We tested our model (with competitive results) online during Kaggle-based Acquire Valued Shoppers Challenge in 2014. © 2015 IEEE.


Nikulin V.,Vyatka State University
Journal of Machine Learning Research | Year: 2015

In this paper we formulate in general terms an approach to prove strong consistency of the Empirical Risk Minimisation inductive principle applied to the prototype or distance based clustering. This approach was motivated by the Divisive Information-Theoretic Feature Clustering model in probabilistic space with Kullback-Leibler divergence, which may be regarded as a special case within the Clustering Minimisation framework. ©2015 Vladimir Nikulin.


Chistyakov A.,Vyatka State University
Proceedings of 2015 IEEE East-West Design and Test Symposium, EWDTS 2015 | Year: 2015

This paper describes a novel spectrum sharing technique for cognitive wireless ad-hoc networks. To avoid interference caused by joint spectrum usage it is proposed to utilize the Generalized Frequency Division Multiplexing (GFDM), which is a digital multiplexing method candidate for 5G networks. Every peer-to-peer link is established using one of the subcarriers of the GFDM signal, so every node can be connected to as many its one-hop neighbors without spectrum overlapping, as many subcarriers there are configured in the GFDM signal. The GFDM waveform, formed digitally, can be modified on-line to adjust frequency usage depending on network requirements and the presence of legacy users, allowing occupation of licensed bandwidth. To detect the vacant subcarriers, the cyclostationary detector is proposed, which allows to distinguish between spectrum holes, neighbor nodes radiation and the signals of licensed users. © 2015 IEEE.


Savinykh N.P.,Vyatka State University
Paleontological Journal | Year: 2015

The modularity of flowering plants is considered using well-substantiated module categories: elementary, universal, and basic. Their structural diversity, which is regarded as a result of heterochrony at the level of organs, their elements, and whole organisms is shown. The heterochrony is considered to be a process of changes in the ontomorphogenesis of individuals, structural elements, and their parts in flowering plants; some of them are realized as heterotopies. © 2015, Pleiades Publishing, Ltd.


Galimova E.G.,Kazan Federal University | Shvetsova M.G.,Vyatka State University
International Journal of Environmental and Science Education | Year: 2016

The need to address the above problem arises from the fact that school foreign language education tradition has not developed any theory based and experimentally confirmed algorithm aimed at teaching communication in the form of a monologue, although the standards of the pupils' level of proficiency in oral and written communication in a foreign language are constantly increasing. The research is intended to determine the connection between using modern educational technologies for teaching senior secondary pupils how to communicate in the form of a monologue in a foreign language and developing the pupils' cognitive interest. The research applies the personality-centered and the technology-centered approaches which allow to present current branches in pedagogy which study and develop effective means and ways of achieving the goals of education. The article deals with peculiar characteristics and methods of teaching communication in the form of a monologue. It also investigates the problem of using the Project Technology and the Collaboration Technology and establishes a close relationship between modern educational technologies for teaching communication in the form of a monologue to senior secondary pupils and developing pupils' cognitive interest in the process of their learning a foreign language. The article can be of interest to specialists who train student teachers of foreign languages, as well as to those who intend to raise their level of proficiency in teaching a first and a second foreign languages. © 2016 Shvetsova.

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