Результаты поиска по 'domains':
Найдено статей: 82
  1. Guskov V.P., Gushchanskiy D.E., Kulabukhova N.V., Abrahamyan S.A., Balyan S.G., Degtyarev A.B., Bogdanov A.V.
    An interactive tool for developing distributed telemedicine systems
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 521-527

    Getting a qualified medical examination can be difficult for people in remote areas because medical staff available can either be inaccessible or it might lack expert knowledge at proper level. Telemedicine technologies can help in such situations. On one hand, such technologies allow highly qualified doctors to consult remotely, thereby increasing the quality of diagnosis and plan treatment. On the other hand, computer-aided analysis of the research results, anamnesis and information on similar cases assist medical staff in their routine activities and decision-making.

    Creating telemedicine system for a particular domain is a laborious process. It’s not sufficient to pick proper medical experts and to fill the knowledge base of the analytical module. It’s also necessary to organize the entire infrastructure of the system to meet the requirements in terms of reliability, fault tolerance, protection of personal data and so on. Tools with reusable infrastructure elements, which are common to such systems, are able to decrease the amount of work needed for the development of telemedicine systems.

    An interactive tool for creating distributed telemedicine systems is described in the article. A list of requirements for the systems is presented; structural solutions for meeting the requirements are suggested. A composition of such elements applicable for distributed systems is described in the article. A cardiac telemedicine system is described as a foundation of the tool

    Keywords: artificial intelligence, decision support systems, distributed telemedicine systems, interactive tool, remote consultations.
    Views (last year): 3. Citations: 4 (RSCI).
  2. Sukhoroslov O.V., Rubtsov A.O., Volkov S.Yu.
    Development of distributed computing applications and services with Everest cloud platform
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 593-599

    The use of service-oriented approach in scientific domains can increase research productivity by enabling sharing, publication and reuse of computing applications, as well as automation of scientific workflows. Everest is a cloud platform that enables researchers with minimal skills to publish and use scientific applications as services. In contrast to existing solutions, Everest executes applications on external resources attached by users, implements flexible binding of resources to applications and supports programmatic access to the platform's functionality. The paper presents current state of the platform, recent developments and remaining challenges.

    Keywords: distributed computing, cloud platform, web services, REST, integration of computing resources, application composition.
    Views (last year): 6. Citations: 2 (RSCI).
Pages: « first previous

Indexed in Scopus

Full-text version of the journal is also available on the web site of the scientific electronic library eLIBRARY.RU

The journal is included in the Russian Science Citation Index

The journal is included in the RSCI

International Interdisciplinary Conference "Mathematics. Computing. Education"

Copyright © 2009–2024 Institute of Computer Science