38 Studencheskaya ul.
The article deals with the problem of creating a temperature regulator,
which does not require preliminary tuning for a specific production plant.
Authors proposed to use a matrix approach of fuzzy logic for this purpose. It
allows engineers to apply the linguistic rules formulated in the most general
form for industrial processes control. It also allows building simple control
algorithms for complex nonlinear systems. To verify the correctness of the
algorithm, authors assembled installation with heaters of various types, powers
and inertia. The full-scale experiment shown that the developed prototype of the
device allows controlling the temperature in various settings without initial
Architecture of the compressor equipment monitoring and control cyber-physical system (CPS) based on the InfluxData IoT platform is proposed. CPS consists of three subsystems: a subsystem of a physical object, a digital twin and an interface. As a technical implementation of the IoT controller, a measuring and control module based on a data acquisition, data transfer and control device - VIDA350, connected to the Telegraf data collection agent of the platform using the MQTT protocol, is proposed. The basic methods of processing raw data from energy meters and sensors of technological parameters, implemented in blocks of on-line and off-line calculations are given. The organization of the digital twin of the compressor using the database of time series InfluxDB and the relational database MSSQL, storing information about changes in the technological parameters of equipment over time, energy efficiency indicators, statistics on accidents and operating time, equipment models, etc., is proposed. Grafana system and FreeCAD is used for visualization of equipment in 3D. The use of CPS can increase the efficiency of operation of compressors due to the timely detection of air leaks, minimizing idling, minimizing peak consumption, optimizing process parameters and settings both of the compressors and consumers.
This article proposes a method of constructing dynamic neural network
mathematical models that allow not only to diagnose the disease at the
current time, but also to simulate the appearance and development of diseases in
future periods of time, as well as to control their appearance and development by
selecting the optimal lifestyle and optimal intake of drugs. It is assumed that the
use of dynamic neural network medical systems, instead of static, allow doctors,
before prescribing courses of treatment to patients, to test the effect of drugs not
on patients, but on their virtual mathematical models. The action of the system is
demonstrated by examples.
The purpose of this paper is to investigate the role of perceived food quality and consumer ethnocentrism and potential trade-offs between these two concepts in Russian consumers’ food purchase decisions after the implementation of the Russian import ban.The results suggest that most respondents do not consider domestically produced cheese as a risky product in terms of food safety but simply of lower quality than imported cheese. However, the average respondent’s WTP discount for domestic cheese compared to imported cheese is 8 percent, which is relatively small. This corresponds to participants’ opinion that buying domestic cheese is the right thing to do since it supports Russian farmers and producers. The results indicate further that with increasing education and income levels, individuals are less likely to prefer domestically produced cheese for either economic or quality reasons. This effect is stronger for the quality preference.
We investigate alcohol consumption as one of the main factors contributing to variation in the gender gap in life expectancy in the Russian regions. We consider the socioeconomic indicators and mortality coefficients that enable us to capture the causes of death related primarily to alcohol abuse and smoking. We assume that macroeconomic situation, coupled with alcohol consumption are substantial determinants of the gender gap in life expectancy in the Russian regions. A panel data analysis confirms that alcohol consumption has a significant influence on the gender gap in life expectancy and reduces the life expectancy of men first and foremost, as they are more inclined toward unhealthy behaviours. We have determined that employment and income support policies should be conducted in conjunction with the anti-alcohol policy. Social policy aimed at reducing alcohol consumption should be vigorously reinforced during an economic recovery.
Imposter syndrome is feeling incompetent despite evidence of competence. It is characterized by the inability to internalize one's status and success, which causes much emotional distress. People with imposter syndrome fear that others will eventually find out that they are frauds and thus feel that they do not belong in their academic or working environment despite objective qualifications, achievements, and accomplishments. Perfectionism has been linked to imposter syndrome due to a tendency to focus on one's inadequacies. In this study, participants were 169 Russian college students. Mediating and moderating effects of imposter syndrome on the link between perfectionism and psychological distress were examined. Results indicated that imposter syndrome fully mediated the link between perfectionism and anxiety, whereas it served as a partial mediator between perfectionism and depression. A significant moderation effect of imposter syndrome was found between the link of perfectionism and depressive mood. In sum, it appears that if a person does not fall into the imposter mindset, the positive link between perfectionistic discrepancy and depression no longer exists. Results of this study identify imposter syndrome as a point of intervention to prevent depression caused by perfectionism.
In this paper, we analyze a new approach for demand prediction in retail. One of the signicant gaps in demand prediction by machine learning methods is the unaccounted sales data censorship. Econometric approaches to modeling censored demand are used to obtain consistent and unbiased estimates of parameters. These approaches can also be transferred to different classes of machine learning models to reduce the prediction error of sales volume. In this study we build two ensemble models to predict demand with and without demand censorship, aggregating predictions for machine learning methods such as Linear regression, Ridge regression, LASSO and Random forest. Having estimated the predictive properties of both models, we test the best predictive power of the models with accounting for the censored nature of demand.
This article describes development experience of the neural network
system for medical diagnostic of gastrointestinal diseases. There was used
patient’s practical medical information for its creation. As input parameters were
taken into consideration different factor groups, include demographic, patient’s
complaints, life history, medical history and additional methods of research.
Neural network model allowed making a significance assessment of factors,
which have disease’s development influence. As a result, was designed neural
network system of differential diagnosis, allowing diagnoses “gastritis”, “peptic
ulcer”. In the future, developed diagnostic system can be used as a “provisional
diagnosis of gastrointestinal diseases”.
Puzzling Premiums on FX Markets: Carry Trade, Momentum, and Value Alone and Strategy Diversification.
This article is devoted to the method of creating an intelligent neural
network system. Unlike existing similar systems, the proposed system does not
require frequent updates, because it is able to adapt itself to the constantly
changing state of the economy and to the peculiarities of a particular region.
Besides, the proposed system allows performing scenario forecasting of regional
real estate markets depending on virtually changing economic parameters such
as the dollar rate, the market price of oil, gross domestic product and gross
regional product, the volume of housing construction in the region, the
parameters of the state’s credit policy, etc.
The purpose of this paper is to present a comparative analysis of the contribution made by intellectual capital (IC) to company performance at company and industry levels in the Russian context. It examines the performance effect of IC using a multilevel approach.
Trial-to-trial variability of the motor evoked potentials (MEP) to transcranial magnetic stimulation (TMS) is a well-known phenomenon. However, the relationship between the fluctuations of the different types of the motor output and other motor system parameters such as corticospinal excitability, interhemispheric inhibition (IHI) and their interhemispheric asymmetry have not yet been fully investigated. We studied 20 young healthy right-handed volunteers. Four TMS sessions were performed (two single-pulse TMS and two paired-coil TMS with IHI paradigm sessions for each hemisphere), 70 stimuli were delivered during every session. Coefficient of quartile variation (CQV) was used to quantify trail-to-trail variability of MEPs amplitude. Resting motor threshold values were correlated between hemispheres (r = .842, p < .001). IHI phenomenon from the left hemisphere was obtained in 18 out of 20 volunteers, while IHI phenomena from the right hemisphere was shown in 16 out of 20. A strong correlation between the variability of MEP‘s amplitudes during IHI paradigm and the degree of IHI was found for the left hand (r = −.718, p < .001). We also observed a strong correlation between CQV of MEPs from both hands to single-pulse TMS (r = .632, p = .004). A side-specific correlation between the variability of the responses to single-pulse and paired-coil TMS was found for the dominant hemisphere (r = .524, p = .021). Our preliminary results demonstrate the importance of the trial-to-trial variability of the MEPs and its interhemispheric specificity as a defining characteristics of the motor system. This study was partially supported by ofi-m RFBR grant 17-29-02518, by HSE Basic Research Program and Russian Academic Excellence Project ‘5-100’.
Introduction. The gained experience in the field of building automation and IoT technologies yields a new approach to the management of engineering subsystems that provides stated parameters of operation quality throughout the entire building lifecycle. This paper explores compensatory and predictive algorithms in the scope of the aforementioned approach to manifest control over building climate parameters utilizing IoT controllers. This research aims to improve the management efficiency of smart house engineering subsystems through the implementation of a control system (CS) capable to compensate disturbances and predict their variations using an IoT controller and an analytical server.
Materials and methods. In order to improve the quality of control, various algorithms based on analysis of data collected from controllers can be employed. The collected data about the object accumulated over the entire period of operation can be used to build a model for the purposes of predictive control. The predictive control allows forecasting the parameters having an effect on the object and compensating it beforehand under the inertia conditions. The continuous adaptation and adjustment of the CS model to operating conditions allows permanent optimizing the settings of the control algorithm ensuring the efficient operation of local control loops.
Results. The CS is based on an IoT controller and able to predict and compensate potential disturbances. The compensation algorithm is updated depending on the behavior of the object properties, quality of control and availability of data most suitable for identification.
Conclusions. The capabilities of the control system based on the IoT controller and generation of a compensatory and predictive control signal with the algorithm hosted at a cloud server are demonstrated on the indoor temperature control model. The following simulation models of the indoor temperature variation process are considered: model without CS, model with proportional plus integral controller with disturbance compensation and model with IoT controller-based CS with disturbance compensation. Structural and parametric identification of the models are accomplished by means of active experiment.
The present article is an attempt to define the anticipatory competence of international students depending on their culture. The base category in our research is the idea of anticipation. Anticipation is understood as an ability of a subject to act and make decisions with a certain space-time prediction of events expected in the future. As a result of the study, significant differences in the personality-situational and temporal component of anticipatory competence were revealed. The communicative aspect of anticipation and the ability to predict situations related to communication among representatives of highly contextual and reactive cultures are less expressed than among representatives of polychronic and polyactive cultures. At the same time, the respondents belonging to the highly contextual and reactive culture are more able to predict the flow of time and accurately distribute it. Personality-situational anticipation competence is more expressed among studets from former CIS countries, and temporal – among Chinese students.
Architecture of the compressor equipment cyber-physical system (CPS) based on the InfluxData IoT platform is proposed. CPS consists of three subsystems: a subsystem of a physical object,
a digital twin and an interface. As a technical implementation of the IoT controller, a measuring and control module based on a data acquisition, data transfer and control device — VIDA350. The basic methods of processing raw data from energy meters and sensors of technological parameters, implemented in blocks of on-line and offline calculations are given. The organization of the digital twin of the compressor using the database of time series InfluxDB and the relational database PostgreSQL. Grafana system and FreeCAD is used for visualization of equipment in 3D.
The article addresses the stage of web-application realization for uploading, storing, and processing academic texts in English. The architecture and functions of the application are described, realization methods of software solution are suggested with the specifics of the subject domain. The choice of software tool are described.
One of the central notions of the sociology of health is the notion of “attitude to health” that includes a system of values and motivations that create a connection between an individual and the society. One’s attitude to their health is a socio-cultural phenomenon that represents a system of personal and selective connections between the individual and the various phenomena of the surrounding reality that favour or, on the contrary, threaten people’s health, and a certain evaluation given by the individual to his or her own physical and mental state. The main objective of the present research is to reveal the types of economic mindset and values that influence the attitude to health in three generations of people in Russia nowadays. The respondents were young Russian people aged 18-25 (574 people), 293 people from the “X generation” (born between 1963 and 1984), and 184 people born between 1943 and 1963. The methodical instruments included: the PVQ-R method developed by Schwartz(Schwartz and others, 2012), the “Index of Attitude to Health and Healthy Lifestyle” (Zakharenkov and others, 2013), the “Your Lifestyle” method (Lebedeva, Chirkov, 2007, 2011), and the method of “Subjective economic well-being” (Khashchenko, 2011). Young people’s attitude to their health is more positive than the attitude shown by representatives of other generations of Russians. The performed regression analysis has revealed that financial deprivation lowers the manifestation of the social component of attitude to healthy lifestyle for the representatives of the Y generation, but it is quite the opposite for the respondents aged 55-74: financial deprivation increases it. Financial stress experienced by the respondents from generations X and Y lowers the manifestation of the social component of attitude to healthy lifestyle. At the same time, financial stress affecting representatives of the older generation has a positive influence on their willingness to change their social environment in accordance with their attitude to health problems.