Computational aspects of mathematical modeling of the shallow water hydrobiological processes

Статья посвящена изучению нелинейных эффектов в динамике популяции промысловой рыбы пиленгас Азовского моря при низкой и высокой ее численности с учетом эффекта Олли, конкуренции за ресурсы, таксиса, вылова, пространственного распределения биогенных веществ и детрита на основе многовидовой модели взаимодействия планктона и рыб. Дискретный аналог разработанной модельной задачи водной экологии, входящей в состав программного комплекса, получен на основе схем второго порядка точности с учетом частичной заполненности расчетных ячеек. Возникающая в процессе дискретизации система сеточных уравнений большой размерности была решена на основе модифицированного попеременно-треугольного метода, имеющего наибольшую скорость сходимости при условии асимптотической устойчивости разностных схем для параболических уравнений, эффективность которого была улучшена на основе уточненных спектральных оценок. Разработка эффективных параллельных алгоритмов численной реализации поставленной задачи биологической кинетики, ориентированных на многопроцессорную вычислительную систему (МВС) и графический ускоритель NVIDIA Tesla K80 с модификацией формата хранения данных, позволила анализировать процессы воспроизводства популяций биогидроценоза в режиме реального и ускоренного времени. Paper covers the research of nonlinear effects in population dynamics of the pelengas commercial fish of the Azov Sea taking into account the Allee effect, competition for resources, taxis, catching, spatial distribution of biogenic matter and detritus based on a multi-species model of plankton and fish interaction. Discrete analogue of developed model problem of water ecology, included in a software complex, were calculated using schemes of second order of accuracy taking into account the partial filling of computational cells. The system of grid equations of large dimension, arising at discretization, has been solved on the basis of adaptive modified alternately triangual variational method. Effective parallel algorithms were developed for numerical implementation of biological kinetics problem and oriented on multiprocessor computer system and NVIDIA Tesla K80 graphics accelerator with the data storage format modification. Due to it, the reproduction processes of biogeocenose populations have been analyzed in real and accelerated time.

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Study on data storage format of a volume holographic memory

10.1117/12.510551 ◽

2003 ◽

Author(s):

Changsheng Xie ◽

Wei Li ◽

Xiandeng Pei

Keyword(s):

Data Storage ◽

Holographic Memory ◽

Storage Format

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SIMULATION OF MICROBIOLOGICAL DESTRUCTION PROCESS OF OIL POLLUTION IN SHALLOW WATER

COMPUTATIONAL MATHEMATICS AND INFORMATION TECHNOLOGIES ◽

10.23947/2587-8999-2021-1-1-10-25 ◽

2021 ◽

pp. 10-25

Author(s):

A.A. Filina ◽

V.V. Sidoryakina ◽

A.E. Chistyakov ◽

A.V. Nikitina

Keyword(s):

Shallow Water ◽

Petroleum Hydrocarbons ◽

Fractional Composition ◽

Oil Pollution ◽

Water Area ◽

Multiprocessor Computer ◽

Spatially Inhomogeneous ◽

Partial Filling ◽

Petroleum Origin ◽

Determining Factors

The paper covers the research of microbiological destruction processes of petroleum origin pollutants in a shallow water taking into account a number of determining factors that affect the distribution of pollution in the researched water area: the oil fractional composition, the processes of evaporation, dissolution, biological oxidation of petro-hydrocarbons by microorganisms, as well as hydrodynamic and chemical-biological features of the water. A complex of interrelated spatially inhomogeneous mathematical models was proposed that allow researching the dynamics of microbiological destruction processes of petroleum hydrocarbons in shallow water. Schemes with weight taking into account the partial filling of computational cells of the simulated domain were developed at model discretization that made it possible to significantly increase the accuracy of calculations and reduce the calculation time. Based on a multiprocessor computer system, experimental software has been developed for predictive modeling of the ecological situation of shallow water in the event of accidental pollution by oil and other harmful substances during natural and technogenic challenges.

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ORGANIZATIONAL INTEROPERABILITY IN SUPPORT OF COMPETITIVENESS

Brazilian Journal of Operations & Production Management ◽

10.14488/bjopm.2016.v13.n1.a6 ◽

2016 ◽

Vol 13 (1) ◽

pp. 58

Author(s):

Elizangela Dias Pereira ◽

Maria Inacia Favila Salum ◽

Carlos Manoel Taboada Rodriguez

Keyword(s):

Information Technology ◽

Software Development ◽

Information Management ◽

Data Storage ◽

Programming Language ◽

Extra Effort ◽

Related Information ◽

Communication Frequency ◽

Storage Format ◽

Original Concept

This paper presents a new context in the logistic field of organizations. This concept emerged due to the expansion of the application of the original concept proposed by the area of software development, in which the goal was to enable the exchange of information between different systems in such a way that no extra effort was needed. Therefore, this area of Information Technology (IT) is constituted by the standardization of programming language, commands, data storage format, among others. Eventually, principles that were already quite widespread in the sphere of IT gradually became used in different areas, untilit started being used amongst the business field. Thus, in order to make corporate processes interoperable, it has contributed to approach and facilitate the communication between companies based on some of the principles of the software field, such as standardization, form of communication, frequency of orders…etc. On the logistic field, which actually connects industrial and commercial companies through the flux of material and related information, the inoperability has by goal help on the resolution of problems regarding received and sent information management, fulfilling more rapidly the demands and opportunities of the market. In this context, we intend to define the part of interoperability on organizational competitiveness.

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Multi-channel data storage format definition for visualization tasks on the example of SPOT-4 images

Information Technology and Nanotechnology ◽

10.18287/1613-0073-2019-2391-302-308 ◽

2019 ◽

pp. 302-308

Author(s):

N Yu Sevastianova ◽

N S Vinogradova

Keyword(s):

Remote Sensing ◽

Data Storage ◽

Remote Sensing Data ◽

Disk Arrays ◽

Sensing Data ◽

Incomplete Knowledge ◽

Emergency Situations ◽

Data Interleaving ◽

Storage Format ◽

Production Problems

One of the features of a remote sensing data storage is the widespread utilization of large-capacity disk arrays. Emergency situations arising from the use of arrays can lead to the fact that the remote sensing data, usually stored in uncompressed form, may become partially damaged. But even with incomplete recovery, this kind of data can be used in the future to solve production problems. However, this recovery is sometimes hampered by incomplete knowledge of the format of the corrupted data. The article describes an approach to automatic recognition of multichannel data interleaving type (BIP, BIL or BSQ) and its application to a recovery of SPOT-4 remote sensing data stored in the segment format "SEG", which were damaged after a disk array failure.

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State of current data storage market and development of tools for increasing data storage systems reliability

E3S Web of Conferences ◽

10.1051/e3sconf/201913504076 ◽

2019 ◽

Vol 135 ◽

pp. 04076 ◽

Cited By ~ 2

Author(s):

Marina Bolsunovskaya ◽

Svetlana Shirokova ◽

Aleksandra Loginova

Keyword(s):

Data Storage ◽

Traffic Management ◽

Smart Home ◽

Storage Systems ◽

Storage System ◽

Large Data ◽

Current Data ◽

Management Systems ◽

Software Complex ◽

Market State

This paper is devoted to the problem of developing and application of data storage systems (DSS) and tools for managing such systems to predict failures and provide fault tolerance specifications. Nowadays DSS are widely used for collecting data in Smart Home and Smart Cites management systems. For example, large data warehouses are utilized in traffic management systems. The results of the current data storage market state analysis are shown, and the project the purpose of which is to develop a hardware and software complex to predict failures in the storage system is presented.

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Panoramic Image Browser Design Based on Cylindrical Surface

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.468-471.2441 ◽

2012 ◽

Vol 468-471 ◽

pp. 2441-2444

Author(s):

Gang Yang

Keyword(s):

Data Storage ◽

Cylindrical Surface ◽

Three Dimension ◽

Panoramic Image ◽

Display Format ◽

Storage Format

After generating panorama, panoramic browser can display it.In order to develop the browser, Using glscene component developed in Delphi,which encapsulates functions of OpenGL and includes a set of base classes that develop quickly three-dimension graphics system, then putting forward an open format based on XML,which can prevent the display format from confining the data storage format,to show panoramic space of different systems in the brower,and hotspot principle is adopted to achieve different scene switch.

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Scool: a new data storage format for single-cell Hi-C data

Bioinformatics ◽

10.1093/bioinformatics/btab243 ◽

2021 ◽

Author(s):

Joachim Wolff ◽

Nezar Abdennur ◽

Rolf Backofen ◽

Björn Grüning

Keyword(s):

Single Cell ◽

Data Storage ◽

Storage Format

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Comparative Analysis of 3D Data Storage Format in Intelligent Systems and Virtual Reality

Automation and Control in Technical Systems ◽

10.12731/2306-1561-2014-4-1 ◽

2015 ◽

Vol 0 (4) ◽

pp. 3

Author(s):

Дмитрий Алексеевич Чувиков ◽

Виктор Петрович Феоктистов

Keyword(s):

Virtual Reality ◽

Comparative Analysis ◽

Data Storage ◽

Intelligent Systems ◽

3D Data ◽

Storage Format

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Scool: a new data storage format for single-cell Hi-C data

Bioinformatics ◽

10.1093/bioinformatics/btaa924 ◽

2020 ◽

Author(s):

Joachim Wolff ◽

Nezar Abdennur ◽

Rolf Backofen ◽

Björn Grüning

Keyword(s):

Single Cell ◽

Data Storage ◽

Supplementary Information ◽

File Format ◽

C Storage ◽

Storage Format ◽

User Friendly ◽

And Storage ◽

Labour Time ◽

Interaction Matrices

Abstract Motivation Single-cell Hi-C research currently lacks an efficient, easy to use and shareable data storage format. Recent studies have used a variety of sub-optimal solutions: publishing raw data only, text-based interaction matrices, or reusing established Hi-C storage formats for single interaction matrices. These approaches are storage and pre-processing intensive, require long labour time and are often error-prone. Results The single-cell cooler file format (scool) provides an efficient, user-friendly and storage-saving approach for single-cell Hi-C data. It is a flavour of the established cooler format and guarantees stable API support. Availability and implementation The single-cell cooler format is part of the cooler file format as of API version 0.8.9. It is available via pip, conda and github: https://github.com/mirnylab/cooler. Contact [email protected] Supplementary information Supplementary data are available at Bioinformatics online.

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Visualisation and analysis of multi-resolution raster geodatasets in the cloud

Abstracts of the ICA ◽

10.5194/ica-abs-1-210-2019 ◽

2019 ◽

Vol 1 ◽

pp. 1-2

Author(s):

Lassi Lehto ◽

Jaakko Kähkönen ◽

Juha Oksanen ◽

Tapani Sarjakoski

Keyword(s):

Data Storage ◽

Web Applications ◽

Cloud Service ◽

Visual Exploration ◽

Geospatial Information ◽

Computing Platform ◽

Interactive Analysis ◽

Digital Elevation ◽

Administrative Unit ◽

Storage Format

Abstract. Raster geodatasets are an important data source for map-related web applications. However, existing differences in how those datasets are georeferenced, formatted and made available complicate their integration for analysis and visualisation purposes. Furthermore, the inconsistent cell resolutions make it difficult to perform efficient and reliable display of the datasets over a range of scales. In particular, it is challenging to achieve satisfactory user experience in visual exploration of interactive analysis operations carried out on these datasets.Dataset harmonisation carried out as a pre-processing procedure seems to be necessary for resolving the raster geodata inconsistency challenge. After the pre-processing step, the harmonized datasets have to be stored into an easily accessible data storage, preferably in close connection with the computing platform where the analysis operations are to be performed.Multidimensional datacube has emerged as a conceptual framework for organising a repository of harmonised raster geodatasets. Satellite images have so far been the most popular geospatial application area for datacubes. The set of dimensions of such geodatacube typically consist of two or three coordinate axes, time, and the content theme. While being ingested into the datacube, the involved datasets are brought into a common georeferencing frame, series of cell resolutions, and storage format. The selected harmonised resolution levels can actually be seen as a set of individual geodatacubes.An initiative has launched in Finland to build a harmonised multi-resolution geodatacube, called GeoCubes Finland, containing some of the most important national geodatasets. The datasets currently incorporated into the geodatacube include digital elevation models together with land cover, superficial deposit, forest inventory and administrative unit datasets. GeoCubes Finland is being built as part of the Finnish Open Geospatial Information Infrastructure for Research (oGIIR) programme, aimed at developing the geospatial research infrastructure of the country. The data storage and the related computing facilities have been implemented on a cloud service platform provided by CSC - IT Center for Science that serves Finnish universities and research institutes.

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