In this paper, the dispersion characteristics of slow-wave structures suitable for use in devices in the terahertz range are calculated. Slow-wave structures of “winding waveguide” and “counter pins” types can be considered as suitable systems. Analysis of dispersion characteristics of slow-wave structure was carried out by a waveguide-resonator model, which is built for the slow-wave structure of “winding waveguide”-type taking into account a channel for the electron beam. Waveguide-resonator model is consisted of quadripoles which describe the waveguide segments. This model is most accurately reflects the structure of the field in the winding waveguide. Dispersion characteristics were calculated according to the program stated in this paper. These characteristics are used to construct model of millimeter traveling-wave tube, which is in this case the chain of quadripoles. The most common in the solution of these problems is the discrete approach . The difference form of electrodynamic theory of excitation is used to justify the use of a mathematical model of the discrete interaction description .
In this study we use the crossing tree of a signal for the purpose of analysis of H-sssi processes. The crossing tree performs an ad-hoc decomposition of a signal adapted to its dynamics, and represents a natural tool for the analysis of its local fluctuations. We present here a new multifractal formalism and a novel approach for estimating the spectrum of singularities of H-sssi processes using the crossing-tree. The performance of the crossing-tree based method is demonstrated in a numerical study. Its performance is also compared with state-of-the-art techniques based on wavelets, including wavelet-leaders.
The increase of supply chains efficiency requires optimization of all types of logistic operations and functions. One of such functions is a choice of intermediaries (carriers, freight forwarders, suppliers, service enterprises etc.). The article discusses the analytical and expert approaches which serve as a basis to choose the intermediaries; along with it, in the article a comparative evaluation of choice expert methods is done: point-rating assessment, analytic hierarchy process and the general algorithm for selecting; the conclusions have been drawn about the applicability of each method
In this work, we analyze how the esports transfer market is organized with the help of mixed methods. We assume that a combination of Social Network Analysis and Machine Learning can help to achieve deeper understanding and to find patterns which are hidden from the one-side analysis. For the research, we gathered information about transfers of Dota 2 teams made between The Internationals of 2016 and 2017 and built a network based on this data. For the ERGM, we checked the importance of belonging to one region and organization, difference of skills, and participation in TI, and for association rules, on a par with the regions, we added players roles, and a metric of their personal performance -- fantasy points. Summing up the results, we found out the importance of homophily within regions, detected presence of vertical mobility, and discover the influence of the specific players roles.
The paper considers the use of alpha-distribution to analyze the influence of radiation on the reliability of command and measuring systems of the spacecraft. The financial support from the Government of the Russian Federation within the framework of the implementation of the 5-100 Programme Roadmap of the National Research University – Higher School of Economics is acknowledged.
This study (researchgrant No 15-05-0029) was supported by The National Research University–Higher School of Economics’
Academic FundProgramin 2015/2016.
This results are the preliminary first part of a presaccadic ERP study. The main goal of this study is an analysis of presaccadic brain potentials in connection of processes of saccadic eye movement preparation.
Cloud data storages are functioning in the presence of the risks of confidentiality, integrity, and availability related with the loss of information, denial of access for a long time, information leakage, conspiracy and technical failures. In this paper, we provide analysis of reliable, scalable, and confidential distributed data storage based on Multilevel Residue Number System (RNS) and Mignotte secret sharing scheme. We use real cloud providers and estimate characteristics such as the data redundancy, speed of data encoding, and decoding to cope with different user preferences. The analysis shows that the proposed storage scheme increases safety and reliability of traditional approaches and reduces data storage overheads by appropriate selection of RNS parameters.
The paper presents the analysis of the signal integrity in microstrip transmission line with nanoconducting dielectric. It shows the results of calculating the passage of a sequence of pulses of trapezoidal shape to account for losses in copper. It is due to its finite conductivity and skin effect, which significantly affects the high frequency harmonics, and also to the loss in nanoconducting dielectric with a high end-to-end conductivity. It is shown that all these losses are small and the use of nanoconducting dielectrics for eliminating electrostatic discharge is justified.
The importance of weak social ties in professional commu- nities is well studied and widely accepted. In our paper we analyze the structure of strong ties based on the co-authorship relation and use the formal concept analysis framework to figure out weak ties. The research is motivated by fast growing need in cross-disciplinary research, which re- quires experts from different areas to understand the bigger picture and identify potential fellows for collaborative research projects in nearest future.
Higher functionality of today’s electronic products demands high density integration of electronic components. In this field, printed-circuit-board (PCB) are the perspective technology to build a variety of electronic systems for different applications. Two types of boards were investigated: high current for power applications and high density boards for modern electronic equipment. The set of IR images and temperature-current diagrams for different substrate materials were investigated. Current and temperature limits for all test boards were defined to provide high level of board relectronic system reliability.
The author reviews the structure of a mobile radio facility system, presents an analysis of electromagnetic fields of the transmitter and of the contact disturbance source in vehicles, and provides a ratio for calculating the signal in the receiver antenna.
In this paper the assessment of the reliability of radiofrequency cords was carried out. The analysis of mathematical models of the failure rate assessment of components of the radiofrequency cords was submitted and the optimal model, combining incoming components, was deduced. It was concluded that during the calculation of the reliability of the radiofrequency cords, their models must take into account the maximum number of influencing factors in order to produce adequate results.
Recent research on the international Monetary Fund [Global Financial Stability Report, 2015] outlines that participants of fixed income assets market in advanced and emerging market economies have become worried that both the level of market liquidity and its resilience may be declining.
The market liquidity is a many-dimensional concept and cannot be captured by any single measure. Nonetheless, depending on what dimension of market liquidity one is trying to estimate (for instance, time, cost, or quantity) some measures are more informative than others.
Based on the data provided by the National Settlement Depository and the National Fund Association and covered the period from the 6 January 2014 to 15 June 2015 the liquidity of 1497 different bond emissions was analyzed. We calculate a daily liquidity index for each bond using Pareto regularization approach [Gambarov, 2010]. This index is constructed from three bond emission characteristics: trading volume, number of trading days, and number of transactions. We found that the most important factor from these three for Russian bonds is the number of trading days due to the very low trade intensity of Russian fixed income market (the largest part of the Russian corporate bonds even has no active market).
Considering the average liquidity on the Russian bond market we conclude that during last year the deterioration tendency has been dominating on the market. Thus, the main purpose of current research is to analyze which factors bring the major impact on the market liquidity (in particular, weaken) in Russia and in other advanced and emerging market countries.
A lot of factors affect the liquidity of the markets, which can be broadly divided into three groups: risk-driven factors, cost-driven factors and investors and issuers characteristics. It is also worth mentioning that macroeconomic factors (e.g. restrictions on derivatives trading (such as those imposed by the European Union in 2012) have weakened the liquidity of the underlying assets) strongly affect markets in general and liquidity in particular.
The article deals with an approach to determining the state of information security based on the analysis of spurious emission of electromagnetic components. Attention is drawn to the possibility of the formation of the data, obtain samples for the analysis of the state of the information security. An experiment in result of which the amplitude-frequency characteristics of the analyzed radiation. Formed data tuples estimated probability values correctly determine the state on the basis of the data obtained.
The paper deals with the mathematical model of the failure rate and storage time for electronic components. It is shown that the use of standardized models allows us to calculate only the Reliability function. For calculation of the indicators of the "storage time", a method based on the methodology of estimation of indicators of durability.
The question about possibilities to use Twitter users’ moods to increase accuracy of stock price movement prediction draws attention of many researchers. In this paper we examine the possibility of analyzing Twitter users’ mood to improve accuracy of predictions for Gold and Silver stock market prices. We used a lexicon-based approach to categorize the mood of users expressed in Twitter posts and to analyze 755 million tweets downloaded from February 13, 2013 to September 29, 2013. As forecasting technique, we select Support Vector Machines (SVM), which have shown the best performance. Results of SVM application to prediction the stock market prices for Gold and Silver are discussed.