scholarly journals GEOINFORMATION SUPPORT FOR AUTOMATED TEST PLANNING SUBSYSTEM

2020 ◽  
pp. 49-55
Author(s):  
I. Korniienko ◽  
S. Korniienko ◽  
S. Moskalets ◽  
S. Kaznachey ◽  
O. Zhyrna
Keyword(s):  
Spatial Data ◽  
Spatial Location ◽  
Test System ◽  
Web Gis ◽  
Test Automation ◽  
Geoinformation Systems ◽  
Test Planning ◽  
Military Equipment ◽  
Functional Scheme ◽  
Measurement Results

The process of testing weapons and military equipment involves numerous manual labor-intensive operations. Such operations can be simplified by fully or partially automating the test planning stages, conducting them directly, and processing the test results. Feature of testing weapons and military equipment is the large amount of data that somehow has a spatial location. One of the modern tools of cartographic representation, processing and analysis of statistical data arrays that have spatial localization, geospatial modeling and situation forecasting is the technology of geoinformation systems. The article substantiates the feasibility of using geoinformation systems as part of the weapons testing system and military equipment. The functional scheme of integration of the geoinformation component into the structure of the test automation subsystem is presented for geoinformation support of the processes of testing planning and processing of measurement results. An approach to the creation of geoinformation models of test sites is proposed, based on the use of methods of remote sensing of land and open Web-GIS resources. The list of functional modules of spatial data processing and analysis, which can be applied to the tasks of testing, is distributed in the geoinformation toolkit. Examples of typical spatial tasks that can be performed during test planning, direct testing, processing, and analysis of measurement results, if such data are spatially linked. The use of geoinformation technology in the test system will provide an arsenal of qualitatively new methods of digital cartography, such as the technology of automated preparation of cartographic information in the accepted cartographic projections and symbols, mass processing of arrays of measured data, a wide toolkit of mathematical and cartographic methods and functions, features and functions own methods, algorithms and methods of statistical information processing, create and use object-oriented geoinformation data models, operate with a set of visualization tools for the best presentation of research and simulation results.

scholarly journals Testing approaches to visualize land cover/land use changes in time series with Web GIS microservice tools

2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Jesse Friend ◽  
Mathias Jahnke ◽  
Niels Walen ◽  
Gernot Ramminger
Keyword(s):  
Land Use ◽  
Time Series ◽  
Spatial Data ◽  
Web Applications ◽  
Land Use Changes ◽  
Web Gis ◽  
End User ◽  
Gis Application ◽  
Data Presentation ◽  
High Functioning

Abstract. Web applications which are high functioning, efficient, and meet the performance demand of the client are essential in modern cartographic workflows. With more and more complex spatial data being integrated into web applications, such as time related features, it is essential to harmonize the means of data presentation so that the end product is aligned with the needs of the end-user. In this paper we present aWeb GIS application built as a microservice which displays various timeseries visualizations to the user to streamline intuitiveness and functionality. The prototype provides a solution which could help to understand various ways in which current web and spatial analysis methods can be combined to create visualizations that add value to existing spatial data for cartographic workflows.

Formation of High-Quality Solutions In The Construction of Aeromonitoring Data Banks

2021 ◽  
Author(s):  
Hlib Nekrasov ◽  
Alexander Vostrikov ◽  
Ekaterina Prokofeva ◽  
Nashon Adero
Keyword(s):  
Spatial Data ◽  
Carbon Dioxide Emissions ◽  
Geographic Area ◽  
Subject Area ◽  
Web Gis ◽  
Stable Operation ◽  
Additional Information ◽  
Methods Of Evaluation ◽  
Processing And Storage ◽  
The Impact

Abstract Background: This article discusses the approach to the implementation of the project for the extraction and the methodology of preliminary processing of the obtained data with the aim of centralized accumulation for collective multipurpose use of the databank on the example of carbon dioxide emissions into the atmosphere by air transport for a given territory. It should be noted that on the basis of morphological analysis, processing, as well as the classification of spatial objects of the geodatabase and additional information, it is subsequently possible to organize, for example, a system of geoecological monitoring.Methods: At the fundamental level, the research used integration and process-based approaches, the method of extrapolation, expert methods of evaluation, random selection and analytical comparisons, a set of methods of spatial analysis based on various instruments and sources. In this study are used of open standards OGC, web, GIS technologies and the Internet for the formation, processing and storage of spatial data, their unambiguous geolocation, the implementation of territorial selections and visualization of results.Results: The set of data, which was organized according to the proposed and defined rules, made it possible to assess the structural processing of geospatial data, and to prepare a visual representation of the impact of aviation on the environmental situation over the designated geographic area.Conclusions: The transport industry was chosen as the object of research, but this solution can also be successfully applied to other logistics and industrial areas. During the implementation of the project, the analysis of the subject area was carried out, the architecture of the future prototype of the databank was designed, the accumulated data from the sources was structured, and a database was selected for storing them, taking into account the provision of high availability and ensuring stable operation under high loads. For the convenience of displaying data, an interactive visualization tool with a convenient and friendly user interface has been developed.

Application of Geospatial Mashups in Web GIS for Tourism Development

2018 ◽  
pp. 3403-3418
Author(s):  
Somnath Chaudhuri ◽  
Nilanjan Ray
Keyword(s):  
Spatial Data ◽  
Rapid Development ◽  
Tourism Development ◽  
Web Gis ◽  
Multiple Sources ◽  
Web Mapping ◽  
Tourism Management ◽  
Mapping Technology ◽  
Spatial Display

This paper examines current development in Web GIS with the implementation of Geospatial Mashup technologies, such as Google Map in the context of map Mashups, and presents a classification of map Mashups and their application in tourism management and promotion. On the Web GIS context, Mashup is the process of merging multiple sources of data, both spatial and non-spatial, into a single integrated spatial display. It is about extracting spatial data from a non-spatial source and combining with other spatial data and finally displaying it on a map. This paper demonstrates that Geospatial Mashup has great potential to facilitate and widen the rapid development of the future web mapping technology in Web GIS in tourism development. It also highlights on the basic architecture and working principles of Map Mashups in context to tourism management. The final section of this research paper emphasizes on some issues and limitations inherent to the current Mashup technologies like privacy protection, copyright issues etc. which need to be worked out before its wider adoption.

Ireland

2010 ◽  
pp. 105-130
Author(s):  
Edward Dwyer ◽  
Kathrin Kopke ◽  
Valerie Cummins ◽  
Elizabeth O’Dea ◽  
Declan Dunne
Keyword(s):  
Reference Material ◽  
Spatial Data ◽  
Data Sources ◽  
Web Gis ◽  
Internet Resource ◽  
Digital Atlas ◽  
Wide Range ◽  
Gis Environment ◽  
Data Layers ◽  
Additional Reference

The Marine Irish Digital Atlas (MIDA) is an Internet resource built in a web GIS environment, where people interested in coastal and marine information for Ireland can visualize and identify pertinent geospatial datasets and determine where to acquire them. The atlas, which is being constantly maintained, currently displays more than 140 data layers from over 35 coastal and marine organizations both within Ireland and abroad. It also features an “InfoPort” which is a repository of text, imagery, links to spatial data sources and additional reference material for a wide range of coastal and marine topics. The MIDA team has been active in the creation of the International Coastal Atlas Network and the Atlas was chosen as one of the nodes for the Semantic Interoperability Demonstrator.

Examples of Applications and Study Cases

2020 ◽  
pp. 234-263
Keyword(s):  
Decision Support ◽  
Spatial Data ◽  
Support Systems ◽  
Geographic Information ◽  
Web Gis ◽  
Rapid Progress ◽  
Thematic Maps ◽  
Decentralized Planning ◽  
Local Levels ◽  
The Web

The chapter presents examples of applications and study cases of platforms of geospatial decision support systems for national public policies and strategies. The rapid progress of internet with the combination of GIS has paved the ways for web distribution of spatial data. Users can access the spatial data through a Web-GIS website, make thematic maps, and perform all types of spatial queries and analysis. In the context of an increasing emphasis on decentralized planning, the need for collection and dissemination of data at local levels has been increased. Use of the web as a dissemination medium of geographic data in the form of interactive maps can be regarded as a major advancement in digital cartography and opens many new opportunities, such as real-time maps, cheaper dissemination, and decentralized sharing of geographic information.

Monitoring of Winding Deformation of Power Transformer by Using Nanosecond Pulses

2011 ◽  
Vol 128-129 ◽  
pp. 190-195
Author(s):  
Hua Lin Liu ◽  
Yin Bo Zhan ◽  
Xiao Lei ◽  
You Yuan Wang ◽  
Hua Rong Zeng ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Frequency Band ◽  
Low Voltage ◽  
Power Transformer ◽  
Test System ◽  
Power Transformers ◽  
Distribution Transformer ◽  
Frequency Method ◽  
Nanosecond Pulses ◽  
Measurement Results

As we know, the TF method is more sensitive to changes in the power transformers at higher frequencies. Although measurement based on low voltage impulse (LVI) is definitely faster than that based on swept frequency method (SFM), the available frequency band is narrow because of the typical microsecond impulse. In this paper, the characteristics of the nanosecond impulse in the frequency domain were investigated. A test System based on Nanosecond low voltage impulse was developed. The proposed method was applied to a 10kV/100kVA distribution transformer in the laboratory. Measurement results with two different impulses were compared.

scholarly journals Using Random Effects to Build Impact Models When the Available Historical Record Is Short

2012 ◽  
Vol 51 (11) ◽  
pp. 1994-2004 ◽  
Author(s):  
Filipe Aires
Keyword(s):  
Random Effects ◽  
Spatial Data ◽  
Spatial Location ◽  
Historical Record ◽  
Impact Model ◽  
Local Conditions ◽  
Real World Application ◽  
Socioeconomic Data ◽  
The Impact ◽  
Impact Models

AbstractThe analysis of the affect of weather and climate on human activities requires the construction of impact models that are able to describe the complex links between weather and socioeconomic data. In practice, one of the biggest challenges is the lack of data, because it is generally difficult to obtain time series that are long enough. As a consequence, derived impact models predict well the historical record but are unable to perform well on real forecasts. To avoid this data-limitation problem, it is possible to train the impact model over a large spatial domain by “pooling” data from multiple locations. This general impact model needs to be spatially corrected to take local conditions into account, however. This is particularly true, for example, in agriculture: it is not efficient to pool all of the spatial data into a single very general impact model, but it is also not efficient to develop one impact model for each spatial location. To solve these aggregation problems, mixed-effects (ME) models have been developed. They are based on the idea that each datum belongs to a particular group, and the ME model takes into account the particularities of each group. In this paper, ME models and, in particular, random-effects (RE) models are tested and are compared with more-traditional methods using a real-world application: the sales of salt for winter road deicing by public service vehicles. It is shown that the performance of RE models is higher than that of more-traditional regression models. The development of impact models should strongly benefit from the use of RE and ME models.

Study on Instant Original Characteristic Calculation and Matching Method for Torque Converter Test Automation

2012 ◽  
Vol 482-484 ◽  
pp. 421-425
Author(s):  
Jin Li ◽  
Wei Wei ◽  
Qing Dong Yan
Keyword(s):  
Electric Power ◽  
Test Data ◽  
High Efficiency ◽  
Characteristic Curve ◽  
Torque Converter ◽  
Test System ◽  
Automation System ◽  
Test Automation ◽  
Report Generation ◽  
Original Characteristic

To obtain the original characteristic of torque converter automatically and efficiently, a test automation system of torque converter is set up based on electric power cycling technology, and a test automation software is programmed by Labview language based on serial communication and technology. This test automation system realizes the load electric power recovery, test data acquisition and processing, the torque converter original characteristic curve generation, matching calculation with the engine, saving the test data and curve pictures, and the formal report generation automatically. The high efficiency and convenience of the test system are illustrated by a practical application.

scholarly journals GIS “Spatial Mobility of the Szlachta under Peter the First” in a Prosopographic Study

2020 ◽  
pp. 206-218
Author(s):  
Andrei Viktorovich Zakharov ◽  
Alexey Frolov
Keyword(s):  
Social History ◽  
Spatial Data ◽  
Data Representation ◽  
Web Gis ◽  
Spatial Mobility ◽  
Historical Sources ◽  
Text Data ◽  
Internet Users ◽  
Wide Range ◽  
The Web

The article discusses possibilities of geochronological tracking technology for studying the spatial mobility of social groups in Russia in the past. The GIS proposed is necessary to visualize and analyze spatial data in a prosopographic research of about 400 szlachta representatives in Peter’s Epoch. Spatial mobility is understood as the intensity of person's translocation through settlements and his ability to respond to external challenges by moving. The archival materials of the Senate inspection of the szlachta (1721-1723) served the basis for the study and the resource formation. Particular attention is paid to the design of software research tools – the PostgreSQL database and the web GIS based on the latter. It is the first time when geochronological tracking as a geoinformatics method was used to prosopographically study the Russian nobility. The methods of historical source spatial data representation and visualization are implemented in the form of a geodatabase that is publicly available. Two program modules (the GIS among them) grant a wide range of Internet users an access to historical sources text data as well as synchronically visualized data on the szlachta service under Peter the first.  The authors conclude that it is promising to create a special web interface which provides users with flexible text and geodata filtering and analysis. The web project created can be used both for research in the field of social history, historical geography, genealogy and for educational purposes in such courses as “historical computer science” and “digital humanities”.

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