bluuebunny/crossref_metadata_2025_split huggingface dataset:
On comparative analysis of two formation schemes of digital watermarks
Authors: Мансурова Д.А. , Мкртичян В.В. 
Published: October 2021

Многопользовательские схемы цифровых водяных знаков (ЦВЗ) предназначены для защиты авторских прав на цифровую продукцию. В данной работе рассматриваются две схемы ЦВЗ Боне—Шоу: базовая и каскадная, проводятся исследование и сравнительный анализ этих схем с целью определения более эффективной схемы из двух по длине, а также указаны границы значений параметров схем, для которых одна схема эффективнее другой.
Multiuser digital watermarking is a powerful tool for copyright protection of widely replicable digital products. This paper addresses Boneh—Shaw fingerprinting schemes. The algorithms proposed by D. Boneh and J. Shaw allow a distributor to detect any unauthorized copy and trace it back to user and they work correctly for any size of coalition. The main idea of this paper is a comparative analysis of two Boneh—Shaw digital watermarks schemes (cascade and basics), which makes clear which one of these schemes is more effective in terms of the length of the label. Using the comparative analysis and numerical experiments, we obtain the specific values of the boundaries for input parameters in which one scheme will be more efficient than another. From the results of the comparative analysis it can be concluded that for large number of users of the scheme and a small size of the coalition (in relation of users number) it is advisable
to use the cascade scheme. In the case of a small number of users and a large size of the coalition (compared to the number of users) it is more expedient to use the basic
scheme.
Regional tsunami hazard maps for the Far East coast of the Russian Federation built in the framework of the PTHA methodology
Authors: Гусяков Вячеслав Константинович , Кихтенко Владимир Андреевич , Чубаров Леонид Борисович , Шокин Юрий Иванович 
Published: October 2021

В работе идет речь о реализации методики вероятностного цунамирайонирования побережья, известной под названием PTHA (Probabilistic Tsunami Hazard Assessment), для создания обзорных карт цунамиопасности дальневосточного побережья России. Обсуждаются методологические основы такого подхода, проблемы построения сейсмотектонических моделей основных цунамигенных зон, численные методики получения расчетных каталогов высот волн на побережье. Приведены примеры обзорных карт для различных повторяемостей, построенных с применением методики PTHA и представленных с помощью созданного веб-приложения WTMap. Упоминаются также некоторые проблемы применения методики PTHA, связанные как с недостаточностью данных наблюдений, так и со сложностью выполнения большого объема сценарного численного моделирования.The article describes the results of the implementation of the PTHA (Probabilistic Tsunami Hazard Assessment) methodology for creating the overview maps of tsunami hazard for the Far East coast of the Russian Federation. Such maps show the characteristics of the catastrophic impact of tsunami waves on the coast and the probability of their exceeding in a given period of time. The methodological basis of the PTHA approach to the assessment of tsunami hazard, the problems of constructing seismotectonic models of the main tsunamigenic zones, mathematical models and algorithms for calculating probability estimates of tsunami danger are discussed. The version of the PTHA methodology outlined in the article is implemented as a “WTmap” Web-application that has an access to the entire observational information related to coastal tsunami zoning and software packages used. The application allows to obtain the estimates of the expected tsunami heights and their recurrence estimates and to map them on specific parts of the Far Eastern coast of the Russian Federation. The obtained estimates can be quickly recalculated when replacing the observational catalogs with more complete and reliable ones, with the addition of new, previously absent events or the revision of their parameters, as well as the results of new scenario calculations. Examples of overview maps for various recurrence intervals, constructed using the PTHA methodology and presented using the “WTMap” application, are given. Some problems of using the PTHA methodology related to the lack of available observational data and to the complexity of performing a large amount of scenario simulations are also discussed.
HPC cloud services based on the Proxmox VE platform
Authors: Баранов А.В. , Киселёв Е.А. 
Published: October 2021

Организация облачных сервисов для высокопроизводительных вычислений затруднена, во-первых, по причине высоких накладных расходов на виртуализацию, во-вторых, из-за специфики систем управления заданиями и ресурсами в научных суперкомпьютерных центрах. В настоящей работе рассмотрен подход к построению облачных сервисов видов PaaS и SaaS, основанных на совместном функционировании облачной платформы Proxmox VE и системы управления прохождением параллельных заданий, применяемой в качестве менеджера ресурсов в Межведомственном суперкомпьютерном центре РАН.
Purpose. The purpose of this paper is to develop methods and technologies for building high-performance computing cloud services in scientific supercomputer centers. Methodology.To build a cloud environment for high-performance scientific calculations (HPC), the corresponding three-level model and the method of combining flows of supercomputer tasks of various types were applied. Results.A high-level HPC cloud services technology based on the free Proxmox VE software platform has been developed. The Proxmox VE platform has been integrated with the domestic supercomputer job management system called SUPPZ. Experimental estimates of the overheads introduced in the high-performance computing process by the Proxmox components are obtained. Findings.An approach to the integration a supercomputer job management system and a virtualization platform is proposed. The presented approach is based on the representation of the supercomputer jobs as virtual machines or containers. Using the Proxmox VE platform as an example, the influence of a virtual environment on the execution time of parallel programs is investigated experimentally. The possibility of applying the proposed approach to building cloud services of the PaaS and SaaS type in scientific supercomputing centers of collective use is substantiated for a class of applications for which the overhead costs introduced by the Proxmox components are acceptable.
Cloud platform for decision-making support of digital production planning
Authors: Величко А.С. , Грибова В.В. , Колмогоров А.В. 
Published: October 2021

Рассмотрена задача разработки платформы для процессов цифрового производства. Описаны возможные онтологии предметной области, состоящей в организации и планировании экономической деятельности предприятий и учреждений, в том числе в производственной сфере. Спроектирована модульная архитектура облачной платформы для цифровизации производственных процессов в области обрабатывающих производств и строительства. Определены задачи, решаемые каждым функциональным модулем.
Purpose. The paper deals with the problem of decision-making support for digital production planning. Methodology. The formalization of the subject area (ontology) is developed on the basis of the approach used in production and operational management, in particular, for the possible planning of digital production in back-office industries and construction. Findings. Main stages of digital production planning are identified such as optimization for the placement (choice of place) of production, optimal selection of suppliers of resources, optimization of storage of resources and delivery to the place of production. The analysis of the stages for organization and production planning currently is poorly represented in existing software solutions as a set of several cloud services. Originality/value. Taking into account the conditions for the modern stage of development of technologies for the digital production we can identify the key requirements for the functionality and use of the software platform. The architecture of a digital cloud platform and its functional modules has been developed for the planning of digital production. It is a decentralized platform as a public network, consisting of independent software modules (cloud services) connected to a tool with an expandable number of modules. The tool consists of a unit for the organization and planning of production processes and the block of the modules that accompanies implementation of process of production activity. Currently, a number of modules of the system have been developed and experimentally tested. Now we are developing the full-featured tool.
VOKKIA and KVERT information systems for data integration on the volcanoes of the Kuril-Kamchatka region and analysis of their activity
Authors: Романова И.М. 
Published: October 2021

Описаны особенности реализации, структура и возможности информационных веб-систем, созданных в Институте вулканологии и сейсмологии ДВО РАН, цель которых обеспечить доступ к большому объему распределенных вулканологических данных для комплексного использования в научных исследованиях. Информационная система VOKKIA предназначена для интеграции и систематизации данных по наземным и подводным вулканам Курило-Камчатского региона и их извержениям, KVERT для сбора и интеграции данных оперативного мониторинга активности вулканов. Реализованные в информационных системах сервисы поиска и визуализации данных помогают обнаруживать взаимосвязи, закономерности и тенденции изменения вулканогенных процессов во времени.
A large amount of unique scientific data has been collected in the Institute of Volcanology and Seismology (IVS) FEB RAS over the past years of investigations of the Kamchatka and the Kurile Island Arc volcanoes. The distributed nature of information storage makes it difficult to search and effectively use data in scientific research. Actual tasks include the integration of data into thematic information resources, organization of data access on the Internet, as well as the designing of tools for their comprehensive analysis. VOKKIA (Volcanoes of Kurile-Kamchatka Island Arc) and KVERT (Kamchatkan Volcanic Eruption Response Team) information web-systems have been developed in the IVS FEB RAS to solve these tasks. VOKKIA is designed to integrate and systematize the heterogeneous scientific data for the terrestrial volcanoes of Kamchatka, the Kurile Islands and submarine volcanoes of the surrounding seas including data on historical eruptions of active volcanoes. The KVERT system contains brief information about active volcanoes of Kamchatka and the Nothern Kuriles including their hazard. It provides collection and storage of operational data of visual, video, and satellite monitoring of volcanoes as well as automated preparation and sending KVERT releases on volcanic activity. The paper describes the development technology, structure and content of VOKKIA and KVERT. Besides, it describes data search and visualization services and statistical data analysis. The created services allow detecting the relationship, patterns and trends in volcanic processes over time.
On computer vision algorithms for searching breaks in meshed fencing constructions
Authors: Дубровин К.Н. , Смагин А.С. 
Published: October 2021

Рассмотрены вопросы автоматизированного мониторинга состояния сетчатых ограждающих конструкций, которые используются на предприятиях, производящих морские биоресурсы. Предложен алгоритм выделения порывов сетчатых ограждений в подводных условиях с применением методов компьютерного зрения, который реализован в виде комплекса программ на языке Python. Приведены результаты работы программного комплекса. Показано, что методы компьютерного зрения эффективно справляются с определением целостности ячеек сети на слабои среднезашумленных изображениях. Для работы в более сложных оптических условиях в состав программного комплекса предложено включить нейросетевой модуль.
Purpose. The paper addresses image processing algorithms for the computer vision system of an autonomous uninhabited underwater vehicle, which automatically monitors the state of the mesh fence and thereby exclude the presence of a person in an aggressive underwater environment. Methodology. The MultiScale Retinex with Color Restoration algorithm and the Otsu method were implemented using the Python programming language to preprocess and filter the image. Methods from OpenCV computer vision library were used to detect damage to the mesh fence. Results. An algorithm is proposed for highlighting the impulses of mesh fencing in underwater conditions using computer vision methods implemented by the Python software. The software implementation results are provided. It is shown that computer vision methods effectively cope with determining the integrity of network cells in weakly and medium-noisy images. To work in more complex optical conditions, it is proposed to include a neural network module in the software package. Findings. The analysis of the results of the software package showed that it successfully copes with the classification of network cells in clean images. However, the transformations carried out at the pre-processing stage are not enough to complete noise elimination. In this regard, this study will continue to improve and expand the functionality of the software package. The result of the study will be a software package with a neural network module for full filtering of the external background and efficient detection of the mesh fence problem areas.
Forecasting of crop yields based on Earth remote sensing data (using soybeans as an example)
Authors: Степанов А.С. 
Published: October 2021

Описан подход к прогнозированию урожайности сельскохозяйственных культур с использованием данных дистанционного зондирования Земли. В качестве основного параметра прогностической регрессионной модели использовались значения вегетационного индекса NDVI. В статье приведена оценка возможности раннего прогнозирования до достижения индексом NDVI максимальных значений с применением гауссианы в качестве аппроксимирующей функции, соответствующей еженедельным композитам NDVI. Для пахотных земель Тамбовского р-на Амурской области рассчитана ошибка определения максимума NDVI в зависимости от календарной недели прогнозирования. Построенная модель использована для предварительной оценки урожайности сои в регионе в 2018 г.
Purpose. Develop and describe a general approach to forecasting crop yields (using soybeans as an example). Methodology. Crop yields were estimated using regression models. Values of the vegetative index (NDVI) were considered with Vega-Science system. The normalized NDVI values were approximated by the Gauss function using the LevenbergMarquardt algorithm to enable early prediction with Python language. Findings. Values of the normalized index were determined by the preceding fiveyears period. For normalized values, approximating Gaussians were constructed and the parameters of the Gaussian function were calculated. The maximum was predicted for the NDVI values at various calendar weeks of the simulated year. The maximum values of NDVI composites in 20092018 were accounted for 3032 calendar weeks. According to the simulation results, it was found that the average absolute error in predicting the maximum NDVI for 10 years at the weeks 2932 did not exceed 3, for weeks 2728 4 and for the weeks 2126 7. At the next stage, a regression model was built to predict yield, where the calculated NDVI maximum was used as an independent variable, and soybean yield calculated according to the statistics of Rosstat on sown areas and gross soybean harvest in the region acted as an independent variable. Analysis of the error in predicting soybean yield for 2018 was obtained according to the simulation results of 20092017. It was shown that the absolute forecast error when using the data of 2232 calendar weeks of 2018 did not exceed 9.1. Originality/Value. The proposed approach to determining crop yields demonstrate high accuracy, while the method provides the possibility of early forecasting. The use of Earth remote sensing data and developed software modules of Python contribute to the operational formation of the forecast and, accordingly, the possibility of adjusting the agricultural plans.
Small angle reconstruction of plasma luminosity for spherical tokamak
Authors: Баженов А.Н. , Затылкин П.А. 
Published: October 2021

Публикация посвящена применению методов вычислительной геометрии, интервального анализа и линейного программирования к задачам физики управляемого термоядерного синтеза. Рассмотрены геометрические аспекты проблемы, получены проекции светимостей различных объемов сферического токамака на плоскость матричного детектора, изучены изображения предполагаемых макроскопических структур и микроскопических включений. Для набора модельных распределений светимости объема токамака поставлена задача восстановления сигнала. Решение получено с использованием задач линейного программирования.
The problems of reconstruction of plasma luminosity are important for physics and technology of power plants-tokamaks. The Globus-M research tokamak obtained a large amount of data using a matrix detector in pinhole camera geometry. From the mathematical point of view, finding the luminosity for different regions of the plasma volume according to the matrix detector is an inverse problem related to the field of integral geometry. An essential feature of the particular task is the use of a single fixed camera with a small viewing angle. In this regard, application of methods of harmonic analysis of data is not enough. The paper investigates the geometric aspects of the problem. In the general view, a threedimensional object is projected onto a two-dimensional plane through a diaphragm. Under the assumption of azimuthal symmetry, there is a central projection of the luminosity of the body of rotation onto a flat matrix detector. The initial information for the calculation is the plasma boundary obtained from magnetic sensors. There is no reliable information about the internal structure of the plasma, so its division into regions of the equal luminosity is not unambiguous. The paper presents an algorithm for finding the projections of the luminosity of plasma volumes on the plane of the matrix detector. A set of model direct problems for the construction of algorithms for their recognition according to the detector data was investigated. Images of supposed macroscopic structures and microscopic inclusions were obtained. The methodological basis of the work is the use of interval analysis methods for solving geometric and algebraic problems. This approach allows obtaining qualitative and quantitative results that takes into account the uncertainty of the input data with the minimum amount of computational costs. Algebraic solvability is investigated in the interval formulation using response functionality. Solutions for a set of test problems are obtained, which demonstrate the availability of successful reconstruction for real data. An important result of the study is an information about the presence of uncertainties in geometric data and related calculations by obtaining results about the luminosity of the plasma by solving linear programming problems.
Mathematical modelling of the agglomeration in a reactive porous medium with variable permeability
Authors: Донской И.Г. 
Published: October 2021

При переработке низкосортных твердых топлив, таких как отходы и биомасса, часто возникают проблемы, связанные с агломерацией. В работе предложен один из вариантов модели спекания, в которой локальная проницаемость изменяется при нагреве из-за физико-химического процесса (плавления), а центры агломерации (частицы плавящегося материала) случайным образом распределяются в двумерной пористой среде. Относительно простая модель позволяет исследовать развитие термогидродинамических неоднородностей в участке пористой среды и оценивать его гидравлическое сопротивление при разной доле расплавленного материала.
Thermal processing of waste is usually carried out in fixed-bed reactors. Complex thermochemical behavior of individual components can lead to a decrease in technical and environmental efficiency. One of the problems is the bed agglomeration and formation of zones with decreasing permeability. The paper proposes a method of numerical simulation of porous media with physicochemical processes, which change permeability. Initial formulation proposes this process to be considered as melting of distributed particles in a stochastic media. The melting rate is controlled by heating of the selected element, and its local permeability changes during a phase transition. To solve this problem, numerical algorithm is developed on the basis of splitting methods. This algorithm was used to find a solution for system of non-stationary partial differential equations in two-dimensional case. The data on multiple calculations for different configurations are averaged to compare modelling results. The simulation results show that increasing the fraction of particles of the melting component leads to the significant change of the dynamic and stationary filtration regimes. The reduction in stationary flow rate is exponential function of the fraction of the melting particles. The dynamics of gas flow is also sensitive to the melting particles fraction, within the range of 510 there is a rather sharp transition from a gradual (almost linear) decrease of flow in time to a sharp one, which is close to exponential behaviour. The resulting calculations for the critical fraction are compared with the measured data published for the case of combustion of mixtures with sintering fuel particles (polymers). Further work will address the modification of the model to describe waste incineration, namely, taking into account the pyrolysis and oxidation processes, three-dimensional formulation, etc.
Dogma e culturas
Authors: Antoniazzi Alberto 
Published: October 2021

A questão que me foi confiada é a seguinte: “Como a questão cultural influenciou a formulação dos dogmas?” Ela contém um aspecto histórico, que se revela no tempo do verbo: Como influenciou...? Mas também podemos ver implícita na pergunta uma questão teorética ou teológica: Como a cultura deve influenciar o dogma? (e ainda se poderia acrescentar, a partir do programa desta Semana de Missiologia: para uma Missão libertadora?”). É disso que trataremos: dando maior atenção ao primeiro aspecto, histórico, mas também tomando-o como base para algumas conclusões de caráter mais geral, teológicas.
No espaço de que nos é dado dispor, é evidentemente impossível esboçar uma história completa, mesmo em grandes linhas, das relações entre dogma (católico) e culturas. Seria o trabalho de uma vida inteira! Melhor, seria o trabalho de uma equipe de especialistas (como nas recentes “Histórias dos dogmas”, que contudo geralmente pouco consideram o contexto cultural). Tomaremos em exame dois momentos fundamentais da história do dogma católico, já bastante estudados e discutidos, que deverão fornecer a base para uma avaliação global da questão.