Персона:
Колобашкина, Любовь Викторовна

Организационные подразделения

Организационная единица

Институт общей профессиональной подготовки (ИОПП)

Миссией Института является: фундаментальная базовая подготовка студентов, необходимая для получения качественного образования на уровне требований международных стандартов; удовлетворение потребностей обучающихся в интеллектуальном, культурном, нравственном развитии и приобретении ими профессиональных знаний; формирование у студентов мотивации и умения учиться; профессиональная ориентация школьников и студентов в избранной области знаний, формирование способностей и навыков профессионального самоопределения и профессионального саморазвития. Основными целями и задачами Института являются: обеспечение высококачественной (фундаментальной) базовой подготовки студентов бакалавриата и специалитета; поддержка и развитие у студентов стремления к осознанному продолжению обучения в институтах (САЕ и др.) и на факультетах Университета; обеспечение преемственности образовательных программ общего среднего и высшего образования; обеспечение высокого качества довузовской подготовки учащихся Предуниверситария и школ-партнеров НИЯУ МИФИ за счет интеграции основного и дополнительного образования; учебно-методическое руководство общеобразовательными кафедрами Института, осуществляющими подготовку бакалавров и специалистов по социо-гуманитарным, общепрофессиональным и естественнонаучным дисциплинам, обеспечение единства требований к базовой подготовке студентов в рамках крупных научно-образовательных направлений (областей знаний).

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Колобашкина

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Любовь Викторовна

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Теперь показываю 1 - 10 из 15

Только метаданные
Comparison of Biologically Inspired and Modeling Approaches for Predicting Possible Condition Change in Critical Occupational Workers
(2024) Alyushin, M. V.; Kolobashkina, L. V.; Bitney,V. D.; Okhlopkov, A. V.; Алюшин, Михаил Васильевич; Колобашкина, Любовь Викторовна
Только метаданные
A Biologically Inspired Approach to Protecting and Verifying the Authenticity of Important Documents
(2024) Alyushin, A. M.; Alyushin, V. M.; Dvoryankin, S. V.; Kolobashkina, L. V.; Алюшин, Александр Михайлович; Алюшин, Виктор Михайлович; Дворянкин, Сергей Владимирович; Колобашкина, Любовь Викторовна
Только метаданные
Adaptive Behavioral Model of the Electricity Object Management Operator for Intelligent Current Personnel Condition Monitoring Systems
(2020) Golov, P. V.; Nikishov, K. S.; Alyushin, M. V.; Kolobashkina, L. V.; Алюшин, Михаил Васильевич; Колобашкина, Любовь Викторовна
© 2020, Springer Nature Switzerland AG.The task of ensuring the reliability of the human factor (RHF) has been singled out as one of the components of state priorities in the field of safety ensuring of electric power facilities. The relevance of solving the problem of predicting a possible change in the operator functional state (OFS) for managing such objects is substantiated. The models used in practice are usually based on the analysis of bioparameters characterizing the current state of the human cardiovascular system, such as heart rate (HR), heart rate variability (HRV), blood pressure (BP), sometimes electrocardiogram parameters (ECG), skin-galvanic reaction (SGR), photoplethysmogram (PPG). Failure to take into account the effect of fatigue accumulation in such models leads to a decrease in the accuracy of OFS possible changes prediction. An iterative behavioral model of the operator is proposed that takes into account the effect of fatigue accumulation.
Только метаданные
Analysis of the Possibility of the Neural Network Implementation of the Viola-Jones Algorithm
(2020) Kolobashkina, L. V.; Alyushin, M. V.; Колобашкина, Любовь Викторовна; Алюшин, Михаил Васильевич
© 2020, Springer Nature Switzerland AG.The practice of using the Viola-Jones algorithm and its modifications to solve the problem of finding objects of interest (OI) in the image frame is analyzed. It is shown that the Viola-Jones algorithm is usually used in conjunction with other algorithms in order to solve a complex task-searching for OI, identifying and analyzing its characteristic features. The relevance of the unification of the applied computing means for solving the above complex problem is underlined. The main computational procedures of the Viola-Jones algorithm are considered: obtaining the integral form of the representation of the input image frame, processing the Haar features (HF), implementation of the cascade classifier. Presented and analyzed options for building a neural network (NN) for the implementation of these procedures. The possibility of expanding the functionality of the Viola-Jones algorithm in its implementation based on the NN is shown. The results of an experimental approbation approach are considered in solving the problem of isolating a person’s face with the subsequent isolation of the eye and pupil areas in order to assess their motor activity.
Только метаданные
Biologically Inspired Algorithm for Increasing the Number of Artificial Neurons
(2020) Kolobashkina, L. V.; Колобашкина, Любовь Викторовна
© 2020, Springer Nature Switzerland AG.The constant increase in the complexity of artificial neural networks (ANN) is highlighted as one of the trends of their modern development. An analysis of the main approaches to determining the required size of ANN is given. The most interesting approach is based on the reduction of the size of the network. As a criterion that necessitates the exclusion of communication between neurons, the low level of significance of this connection is used. It is shown that the implementation of the principle of changing the structure of ANN “from complex to simple” contradicts the general biological principle of development “from simple to complex”. A biologically based approach to the development of ANN is considered in accordance with the principle “from simple to complex”. As a criterion that necessitates the “birth” of a new neuron, it is proposed to use ambiguity in determining, first of all, the sign of the weighting factor of at least one of its inputs. The need to implement the training procedure is also emphasized on the basis of the above biologically based approach. An example of changing the structure of a neural network (NN) in accordance with the proposed algorithm is considered. The possibility of obtaining ANN with a non-trivial structure, which differs from the frequently used multilayer structure in practice, is underlined.
Открытый доступ
Reduction of Technological Risks through Effective Human Factor Management Based on Modern Information Tools
(2020) Kolobashkina, L. V.; Zabiyaka, D. A.; Колобашкина, Любовь Викторовна
© 2020 IOP Publishing Ltd. All rights reserved.The relevance of effective human factor (HF) management with the aim of reducing modern technological risks is shown. Professional and psychological testing (PPT) is highlighted as one of the HF main management tools. A technology is proposed for increasing the objectivity of PPT by taking into account individual information parameters (IIP). Developed methodological and software tools for remote network registration of IIP. The software is based on the use of a database (DB) containing the original psychological tests, as well as keys for processing the test results, taking into account the IIP. The results of an experimental study of the effectiveness of testing technology are presented.
Только метаданные
Assessment of Heart Rate Variability Based on a Probabilistic Analysis of Wearable Biometric Device Data in Support Systems for Staffing Decisions
(2020) Alyushin, M. V.; Alyushin, V. M.; Kolobashkina, L. V.; Parakhin, V. R.; Алюшин, Михаил Васильевич; Алюшин, Виктор Михайлович; Колобашкина, Любовь Викторовна; Парахин, Владислав Романович
© 2020 IEEE.It is shown that the support system for personnel decisions can improve the reliability of the human factor, which is important for ensuring the trouble-free functioning of potentially dangerous facilities. Two main areas of application of support systems for personnel decisions have been identified-personnel selection for hiring and managing the reliability of the human factor directly in the process of professional activity in the workplace. Heart rate (HR) and heart rate variability (HRV) are highlighted as the most informative parameters that allow you to objectively assess the current functional and psycho-emotional state of staff. The relevance of the use of wearable biometric devices in a production environment is substantiated. A technique for estimating HRV based on a probabilistic analysis of the data of such devices is proposed.
Только метаданные
Assessment of the current functional and psychoemotional state based on integrated data processing of wearable biometric devices
(2020) Alyushin, M. V.; Kolobashkina, L. V.; Алюшин, Михаил Васильевич; Колобашкина, Любовь Викторовна
The study is devoted to the problem of ensuring constant monitoring of the current functional and psychoemotional state (FPES) of potentially hazardous objects (PHO) personnel in order to minimize the possibility of accidents and catastrophes of technological origin due to the human factor. It is emphasized that the most relevant at present is the creation of methodological and technical tools for continuous monitoring of the current FPES of PHO personnel directly in the process of its production activities. It is shown that the technical means used in practice for the implementation of preshift / post-shift control, as well as during scheduled periodic psychological tests and medical examinations, have fundamental limitations that do not allow them to be used to monitor the current FPES directly in the production process. The main drawback of the recently developing remote non-contact technologies that allow real-time registration of the main bio-parameters of personnel is restrictions on the ability to make active movements in PHO production facilities is highlighted. The relevance of using wearable biometric devices is substantiated, which allows continuous recording of such important bio-parameters of personnel as heart rate (HR), heart rate variability (HRV), blood pressure (BP). It is shown that the motor activity of the staff is the main destabilizing factor that reduces the accuracy of the measurement of the above bio-parameters obtained by processing photoplethysmograms. A technique has been developed for the integrated processing of signals recorded by wearable biometric devices. The essence of the technique is to highlight the main components of the recorded signals, due primarily to cardiac motility and human motor activity. A technique is proposed for assessing the current FPES based on a comparison of the ranges of heart rate changes and the level of human motor activity. For this purpose, it is proposed to use the so-called personalized qualification tables that take into account age categories and individual characteristics of the state of physical and mental health of PHO personnel.
Только метаданные
Neuro-network approach to the classification of psychological states of a control operator of a potentially dangerous object
(2020) Alyushin, M. V.; Kolobashkina, L. V.; Алюшин, Михаил Васильевич; Колобашкина, Любовь Викторовна
The study is devoted to the problem of ensuring the trouble-free functioning of potentially dangerous objects (PDO) by increasing the reliability of the human factor (HF). It is shown that this problem belongs to the category of priority and critical areas of scientific and technological development of the Russian Federation. It is emphasized that the task of effective management of the HF is complex, due to the specifics of the object of study - the operator of PDO management, which can be fully attributed to the category of complex systems. The relevance of using an adequate methodological apparatus for the analysis and reliable prediction of a possible change in the functional and psycho-emotional state (FPS) of the operator is substantiated. The advantages and disadvantages of the classical systemic and functional approaches are considered. The main advantages and prospects of using a neural network approach to solving the problems of monitoring FPS and predicting its possible change are analyzed. Areas of the most appropriate use of artificial neural networks have been identified. These include: processing the source audio and video data of the visible and infrared optical spectra; complex processing of a set of dynamic bio-parameters recorded by various remote non-contact technologies; classification of the current FPC and the forecast of its possible change taking into account the effect of fatigue accumulation. The heterogeneity of the recorded bio-parameters and other external factors that determine the current FPS of the operators is highlighted as one of the important problems that limit the ability to implement the neural network approach in practice. It is shown that the use of the uniform format for the representation of heterogeneous data considered in the work makes it possible to take into account bio-parameters that objectively characterize the state of the basic systems of the body, as well as parameters responsible for the conditions of professional activity and the psychological climate in the team. The main advantages of using this form of presentation are: increasing the reliability of estimates and forecasts of possible changes in the FPS of operators and the possibility of using the developed neural network methodological and technical tools. It is concluded that the neural network approach is promising for the creation of intelligent monitoring and forecasting systems for possible changes in the FPS of PDO control operators in order to ensure their reliable trouble-free operation.
Только метаданные
Obtaining Reliable Biometric Information in the Analysis of Vibration Images of the Operator's Face to Ensure the Reliability of the Human Factor of Potentially Dangerous Objects
(2020) Parakhin, V. R.; Alyushin, M. V.; Kolobashkina, L. V.; Dvoryankin, S. V.; Алюшин, Михаил Васильевич; Колобашкина, Любовь Викторовна; Дворянкин, Сергей Владимирович
© 2020 IEEE.The technology for processing facial vibroimage is identified as one of the most promising for the development of remote non-contact monitoring systems for the functional and psycho-emotional state (FPS) of potentially dangerous objects (PDO) control operators. It is shown that temporary instability and spatial unevenness of the coverage of the face area in real production conditions are the main destabilizing factors that reduce the reliability of the of the operator's current bio-parameters measurement. An approach is proposed and substantiated that allows minimizing the influence of these factors. The approach takes into account the influence of the color temperature of an external light source and is based on independent compensation of destabilizing factors in various spectra of optical radiation.