Новые информационные технологии. Тезисы докладов XXI Международной студенческой школы-семинара
The statement that demand creates its own supply rings true for the smartphone market as well as for any other sector of the market economy. With computerization level of society growing, Internet-based technology advancing, with the increase in Internet penetration of households, growing population mobility and the development of small and medium-sized enterprises, it has become important for an individual to have operative engagement into daily interactions and activities. On the other hand, the development of technologies also requires new advanced features of technical devices.
Preference evaluation of goods or services can be done using one of market research techniques - conjoined analysis. This article continues the series on applying the conjoined analysis technique. To demonstrate the algorithm, features of conducting and interpreting results obtained, the authors use the study results of the smartphone market. The published results of the previous studies provided a detailed description of their preparation stages, described the sample size, statistics of response for a questionnaire, and algorithms from conjoint analysis technique. In particular, it outlines writing source code for the conjoint analysis algorithm using IBM SPSS Statistics command syntax language.
The purpose of this article is to demonstrate a step-by-step algorithm for conjoint analysis as one of the methods for statistical data pro- cessing, based on smartphone consumers survey, conducted by the authors. The article briefly presents the essence of the conjoint analysis, its advantages and disadvantages as a statistical method, the algorithm for preliminary processing of initial data. The authors developed a conjoined analysis and given detailed interpretation of its results. Special attention deserves the analysis and reasoning behind the choice of private utility model, as well as the evaluation of its parameters.
The findings, presented in this article, can be used by experts in statistical data processing and IT market experts. In the future, the authors plan to publish a theoretical article focusing on outlining the essence of the conjoint analysis, its application and operationalization approaches.
This document presents results of non-quantitative observations application and their processing methods, which significantly widen the analytical capabilities of the statistical measurement of the Russian IT market. The need to expand statistical tools that allow to reflect current and future trends in the sectoral development of IT sphere in a fast and visible manner, due to the rapid character of penetration of these services into the Russian market, is argued in the paper.
With the help of business climate indicators and construction of different homogeneous behavior models, analysis of business trends in the financial and economic activities of IT organizations is presented, highlighting the specifics of them functioning within the various cyclic episodes of 2010-2017.
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Economics has developed up to the moment a number of methods to estimate IT impact on firms' productivity and to analyse the channels of such impact. The paper presents the review of the literature on IT economics and results of IT productivity research in Russia which was performed in 2010-2012. As a result positive IT impact on productivity was for the first time demonstrated on the dataset of 200 Russian firms. Some specific organizational arrangements ensuring productive IT usage were also found
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.
Generalized error-locating codes are discussed. An algorithm for calculation of the upper bound of the probability of erroneous decoding for known code parameters and the input error probability is given. Based on this algorithm, an algorithm for selection of the code parameters for a specified design and input and output error probabilities is constructed. The lower bound of the probability of erroneous decoding is given. Examples of the dependence of the probability of erroneous decoding on the input error probability are given and the behavior of the obtained curves is explained.
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 Handbook of CO₂ in Power Systems' objective is to include the state-of-the-art developments that occurred in power systems taking CO₂ emission into account. The book includes power systems operation modeling with CO₂ emissions considerations, CO₂ market mechanism modeling, CO₂ regulation policy modeling, carbon price forecasting, and carbon capture modeling. For each of the subjects, at least one article authored by a world specialist on the specific domain is included.