ABSTRACT
Open source Geographic Information System (GIS) have been fostering spatial data research such as Earth observation and environmental monitoring for more than 30 years. More recently, globally available geospatial information combined with web technologies are providing new environments and tools for data handling. Thus, binding the mapping and processing capabilities of traditional GIS to the accessibility and reliability of web-based data providers can bring new opportunities for research. In this paper, we built a QGIS plugin to explore the integration of different public data providers in Brazil along with field data produced by the BONDS project. The biOdiversity conservatioN with Development in Amazon wetlandS project (BONDS) proposes to develop biodiversity scenarios for the Amazonian floodplains aiming to support solutions to preserve biodiversity and ecosystem services. The use of web services enabled dynamic and fast access to several products ranging from remote sensing images, land use and land cover, territorial cartography, water quality, to COVID-19 health data, and more. © 2022 National Institute for Space Research, INPE. All rights reserved.
ABSTRACT
In the paper, there are presented digitalization development results for Arctic port activity management in ice season within Industry 4.0 period under climate change and COVID-19 pandemic. In study, there are used situational analysis, web technologies and building database methods in distributed networks. As the research result, to increase the efficiency and reliability of port activity management in ice season within environmental economics, it is proposed the using of geodata from remote sensing and modelling. As the digital managerial support instrument, it is proposed to use aggregate modular managerial decision support system, which integrate the heterogeneous hardware and the software resources in distributed networks. As the research results, there are demonstrated examples for arctic ports in the area of the Ob and Yenisei rivers. The research results presented in this article has significant scientific novelty and can be useful to different players within Arctic port activity management in ice season, including insurance business. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
This paper investigates the automated building of verified software environments that can be used in university courses. Over the last couple of years, it has become obvious that using online environments, video meetings, virtual lectures, online teaching, and learning is not a matter of choice. The coronavirus pandemic forced all parts of the education systems, and even of life, to go online. Deepening the research and development in the software automation field can lead to using various ways to allow university students and learners to "get in touch with” the real-world problems in software development. We developed such an approach by defining the steps, developing and evaluating specific automation processes of building an environment for secure software development. We defined both the functional and nonfunctional requirements for such a system, and the next major steps in development, such as virtualization setup (kvm), virtual environment (virtual machines) definition and creation, database configuration and management of user settings, have been defined and developed. The evaluation is performed according to the specifics defined in the Web technologies course, but the results and use are not limited to that course alone. In conclusion, the results of the evaluation conducted in a laboratory setting have been presented and appropriate scenarios, applications and future work have been defined. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
During the last decade, communities at local and national level are implementing actions geared towards improving disaster resilience. In this context, the importance of ICT in disaster risk management is rapidly increasing globally, especially nowadays amidst the climate crisis and the covid-19 pandemic. However, disaster risk management operations require contributions and collaboration of different type of actors and infrastructures with different functions, rules, protocols and datasets, forming complex contexts in decision making and event coordination. Hence, semantic interoperability between the various stakeholders is one of the challenges to be confronted. In this paper, we present the RES-Q (RESCUE) approach that proposes an information technology solution concerning the real-time recommendation and orchestration of post-disaster response plans. The implemented RES-Q prototype comprises an expert system and a workflow execution engine based on an ontological infrastructure for modeling the response actions for each type of disaster. The ontological model is designed using a multi-layer approach encapsulating the required knowledge streams and a semantic rule repository. During the execution of a post-disaster plan, the system reasons over the rules and composes the next steps of the corresponding response processes. The rule repository is able to infer new knowledge as each plan progresses, which can update the RES-Q ontology accordingly. © 2022, National Technical University of Athens. All rights reserved.
ABSTRACT
One of the most significant and rapidly developing works in the field of data analysis is information flow management. Within the analysis targeted and stochastic dissemination patterns are studied. The solving of such problems is relevant due to the global growth in the amount of information and its availability for a wide range of users. The paper presents a study of dissemination of information messages in open networks on the example of COVID-19. The study was conducted with the use of visual analytics. Informational messages from the largest world and Russian information services, social networks and instant messengers were used as sources of information. Due to the large amount of information on the topic, the authors proposed a pattern of the wave-like dissemination of information on the example of topic clusters on the connection of COVID-19, hydroxychloroquine and 5G. The developed methods can be scaled up to analyze information events of various topics. © 2021 Copyright for this paper by its authors.