NEW APPROACH FOR REMOTE DETECTION OF HUMAN EMOTIONS

Various instrumental methods have been developed for observing human emotions in psychology, the neurosciences, and machine learning studies. These methods are mostly directed to detecting individual, personal emotions. The focus of this study is developing instrumental methods for remote detection of human emotions, both individual and collective. A new antenna device has been added to the Electrophotonic Imaging/Gas Discharge Visualization camera system. Examples of data are explored from a water blessing ritual, healing workshop training, musical performance, geophysical measurements during a solar eclipse, and a shamanic ceremony. These preliminary indications demonstrate a potential for mapping the effects of human emotions. We propose an international collaborative project for a Geoactive Zones Database: developing maps of energy parameters for sacral subjects and a program for study of their influence on the human psycho-physiological condition; in relation with both the environmental situation, and the health and psycho-types of people

A Modeling Study of the Initial Formation of Polar Lows in the Vicinity of the Arctic Front

A regional mathematical model of the wind system of the lower atmosphere, developed recently in the Polar Geophysical Institute, is applied to investigate the initial stage of the formation of polar lows at latitudes of the European Arctic. The mathematical model is based on numerical solving of nonsimplified gas dynamic equations and produces three-dimensional distributions of the atmospheric parameters in the height range from 0 to 15 km over a limited region of the Earth’s surface. Simulation results indicated that the origin of a convexity in the configuration of the arctic front can lead to the formation of a polar low during the period of about one day

FaSTExt: Fast and Small Text Extractor

Text detection in natural images is a challenging but necessary task for many applications. Existing approaches utilize large deep convolutional neural networks making it difficult to use them in real-world tasks. We propose a small yet relatively precise text extraction method. The basic component of it is a convolutional neural network which works in a fully-convolutional manner and produces results at multiple scales. Each scale output predicts whether a pixel is a part of some word, its geometry, and its relation to neighbors at the same scale and between scales. The key factor of reducing the complexity of the model was the utilization of depthwise separable convolution, linear bottlenecks, and inverted residuals. Experiments on public datasets show that the proposed network can effectively detect text while keeping the number of parameters in the range of 1.58 to 10.59 million in different configurations.Comment: 6 pages, 8th International Workshop on Camera-Based Document Analysis & Recognitio

Effect of wood structure geometry during firebrand generation in laboratory scale and semi-field experiments

As the set of experiments result, statistically substantiated data were obtained on the laws of ignition of a model angular structure under conditions of a point source of heat exposure. The use of IR diagnostics made it possible to control the thermal picture in the experimental area, as well as to capture areas of the highest and lowest heating. In the Large Aerosol Chamber of IAO SB RAS, preliminary experiments were carried out on a “firebrand shower” model exposure, which is naturally occurring firebrands (flaming or glowing embers) with some types of construction materials (chipboards). The exposure of the samples to firebrands stream was provided using a firebrand generator of own original design. It was experimentally confirmed that particle size plays a significant role in the ignition of a building structure. If the characteristic particle size, which can be defined as the ratio of its volume to the surface area in contact with the wood, is less than a certain characteristic value, then the ignition mode with a sharp temperature maximum near the phase interface is not fulfilled. This can be explained by the prevailing heat removal into the external environment in comparison with the amount of heat coming from a heat gun and resulting from chemical reactions

Ignition resistance of wood building structures exposed to a firebrand shower

The interaction of a firebrand shower with some types of combustible building materials and wood structures was studied experimentally. The heat flux generated by firebrands was determined, and the temperature fields of the most heat-stressed sections of the structures were analyzed. The heating rate of samples was estimated based on infrared thermography data. Under the selected experimental conditions, the bench sample was found to be the most resistant to ignition. Estimation of the near-surface temperature of the bench element showed that after 15-min continuous exposure to firebrands, the temperature in the zone of maximum accumulation of firebrands did not exceed 130 C. The wood fence model was found to be most prone to ignition (ignition delay time more than 15% lower compared to the other structures

Розробка методу ідентифікації моделі багатокритеріального експертного оцінювання альтернатив

An approach to constructing mathematical models of individual multicriterial estimation was proposed based on information about the ordering relations established by the expert for a set of alternatives. Structural identification of the estimation model using the additive utility function of alternatives was performed within axiomatics of the multi-attribute utility theory (MAUT). A method of parametric identification of the model based on the ideas of the theory of comparative identification has been developed. To determine the model parameters, it was proposed to use the midpoint method that has resulted in the possibility of obtaining a uniform stable solution of the problem. It was shown that in this case, the problem of parametric identification of the estimation model can be reduced to a standard linear programming problem. The scalar multicriterial estimates of alternatives obtained on the basis of the synthesized mathematical model make it possible to compare them among themselves according to the degree of efficiency and, thus, choose "the best" or rank them. A significant advantage of the proposed approach is the ability to use only non-numerical information about the decisions already made by experts to solve the problem of identifying the model parameters. This enables partial reduction of the degree of expert’s subjective influence on the outcome of decision-making and reduces the cost of the expert estimation process. A method of verification of the estimation model based on the principles of cross-validation has been developed. The results of computer modeling were presented. They confirmed the effectiveness of using the proposed method of parametric model identification to solve problems related to automation of the process of intelligent decision making.Предложен подход к построению математической модели индивидуального многокритериального оценивания, который основывается на информации об установленном экспертом отношении порядка на множестве альтернатив. В рамках аксиоматики теории многокритериальной полезности (MAUT) проведена структурная идентификация модели оценивания с использованием аддитивной функции полезности альтернатив. Разработан метод параметрической идентификации модели, который базируется на идеях теории компараторной идентификации. Для определения параметров модели предлагается использовать метод средней точки, в результате применения которого можно получить единственное устойчивое решение задачи. Показано, что в этом случае, задачу параметрической идентификации модели оценивания можно привести к стандартной задаче линейного программирования. Полученные на основе синтезированной математической модели скалярные многокритериальные оценки альтернатив позволяют сравнивать их между собой по степени эффективности и, таким образом, выбрать "наилучшую" из них или провести их ранжирование. Существенным преимуществом предложенного подхода является возможность использования для решения задачи идентификации параметров модели только нечисловой информации об уже принятых экспертами решениях. Это позволяет частично снизить степень субъективного влияния эксперта на результат принятия решений и уменьшить затраты на проведение процедуры экспертного оценивания. Разработан метод верификации модели оценивания, который базируется на принципах кросс-валидации. Приведены результаты компьютерного моделирования, которые подтверждают эффективность использования метода параметрической идентификации модели для решения задач, связанных с автоматизацией интеллектуального процесса принятия решенийЗапропоновано підхід до побудови математичної моделі індивідуального багатокритеріального оцінювання, який ґрунтується на інформації про встановлене експертом відношення порядку на множині альтернатив. В рамках аксіоматики теорії багатокритеріальної корисності (MAUT) проведено структурну ідентифікацію моделі оцінювання з використанням адитивної функції корисності альтернатив. Розроблено метод параметричної ідентифікації моделі, що базується на ідеях теорії компараторної ідентифікації. Для визначення параметрів моделі пропонується використовувати метод середньої точки, в результаті застосування якого можна отримати єдиний стійкий розв'язок задачі. Показано, що в цьому випадку, задачу параметричної ідентифікації моделі оцінювання можна привести до стандартної задачі лінійного програмування. Отримані на основі синтезованої математичної моделі скалярні багатокритеріальні оцінки альтернатив дозволяють порівнювати їх між собою за ступенем ефективності і, таким чином, вибрати "найкращу" з них або провести їх ранжування. Істотною перевагою запропонованого підходу є можливість використання для розв'язання задачі ідентифікації параметрів моделі тільки нечислової інформації про вже прийняті експертами рішення. Це дозволяє частково знизити ступінь суб'єктивного впливу експерта на результат прийняття рішень та зменшити витрати на проведення процедури експертного оцінювання. Розроблено метод верифікації моделі оцінювання, що базується на принципах крос-валідації. Наведено результати комп'ютерного моделювання, які підтверджують ефективність використання запропонованого методу параметричної ідентифікації моделі для вирішення завдань, що пов'язані з автоматизацією інтелектуального процесу прийняття рішен

Determination of the energy characteristics of the reactions UF6 ↔ UF5 + F and UF6 ↔ UF4 + F2

Quantum-mechanical methods are used to assess the energy barriers to dissociation and recombination reactions of UF6 ↔ UF5 + F and UF6 ↔ UF4 + F2. The energy characteristics of these reactions are found to be strongly asymmetric: the dissociation reaction barriers exceed the recombination reactions barriers by more than 4 eV. The equilibrium atomic configurations of F2, UF4, UF5 and UF6 have been determined using precision quantum mechanical calculations. The U-F bond lengths obtained as a result of the calculations are in good agreement with experimental data. It was found that the decay reaction UF6 → UF5 + F is either barrier-free, or the energy barrier for such a reaction is less than the resolving power of the method (~ 0.1 eV). For the decay of UF6 → UF4 + F2, there is an energy barrier with a height of about 0.3 eV. An initial approximation was proposed for the arrangement of UF6 atoms in order to find the saddle points of the UF6 dissociation reactions. In this initial configuration, all 7 atoms of the UF6 molecule are located in the same plane. The F atoms are located at the vertices of a regular hexagon, and the U atom is at the center of such a hexagon. The results of this work can be used to determine the constants of thermal reactions of dissociation and recombination UF6 ↔ UF5 + F и UF6 ↔ UF4 + F2. These constants are necessary for modeling the physicochemical processes occurring during the enrichment of spent nuclear fuel (SNF)

О распределении времени первого обрыва связи в беспроводных сетях с кэшированием

The function analyzes the time distribution of the first communication failure in D2D wireless networks as a function of the caching time, assuming that subscribers make a nonstationary random walk. This distribution function is constructed numerically on the basis of generation of an ensemble of nonstationary trajectories, a series of incremental increments of which is determined by solving the Fokker-Planck equation in the unit square in the plane with mirror reflection conditions from the boundaries. This method allows you to effectively solve the problems of stochastic control and analyze the conditions for the stability of connections in wireless networks.Анализируется функция распределения времени первого обрыва связи в беспроводных сетях D2D в зависимости от времени кэширования в предположении, что абоненты совершают нестационарное случайное блуждание. Эта функция распределения строится численно на основе генерации ансамбля нестационарных траекторий, ряд пошаговых приращений которых определяется решением уравнения Фоккера-Планка в единичном квадрате на плоскости с зеркальными условиями отражения от границ. Данный метод позволяет эффективно решать задачи стохастического управления и анализировать условия устойчивости соединений в беспроводных сетях