The paper presents the IACPaaS cloud platform, which is used for creating intelligent services based on ontologies, as well as the conceptual ideas and arc

Разработка систем поддержки принятия решений, аккумулирующих передовые знания в области диагностики и лечения заболеваний, является важным направлением информатизации медицины. Особо актуальны такие системы в период крупных эпидемических вспышек, когда в процесс диагностики вовлекается огромное число врачей различного профиля, время на принятие решений и назначение лечения очень мало, а сама диагностика, из-за непрерывного получения новых знаний, постоянно совершенствуется и уточняется. Наиболее готовы к этому вызову методы искусственного интеллекта с онтологическими базами знаний. В работе описан облачный сервис, реализованный на платформе IACPaaS, для дифференциальной диагностики коронавирусных инфекций (SARS, MERS и COVID-19) от других инфекций респираторного тракта вирусной...

Main features, functionality and perspectives of the IACPaaS platform are described. The platform provides three models of cloud services: PaaS, SaaS, and DaaS. It is intended for development of intelligent services and services with complex-structured data on the basis of several technologies.

Creation of fully autonomous unmanned underwater vehicles and systems capable of performing various research and technological operations under uncertainty conditions is a pressing issue. The key problem is automatic mission correction in real time based on data from onboard systems. The aim of this work is to develop a method for intelligent mission planning at the strategic control level of autonomous underwater robotic systems, enabling automatic generation of adaptive plans and their transformation into tactical-level executable commands for operation in changing environmental conditions. In the article, the authors define the principles of developing an intelligent mission planner for autonomous underwater robotic systems (AURS) at the strategic level and a mission manager for managing the mission at the tactical level with the formation of specific tasks for performers. A formal model for planning missions through many linear sections with preconditions and postconditions has been developed. The key aspect of the proposed solution is the use of an ontological approach to standardize the description of missions and ensure their software interpretation. A specialized mission development environment has been created on the IACPaaS cloud platform, allowing experts to form and adapt mission plans without delving into technical details. The set of tools with a modular architecture has been developed, ensuring scalability and adaptation of the solution for various classes of submarines and types of missions. The results of testing have shown that the proposed solution allows for the formation of flexible plans that take into account the diversity of situations and automatically select command sequences depending on the incoming data. The results obtained open up new possibilities for creating fully autonomous underwater systems capable of performing complex research and technological operations without constant operator control. Further research is aimed at improving the mission manager algorithms, as well as integrating the planner with other onboard support components.

Possibilities of application of new ideas connected with control in development of practically useful intelligent systems are discussed. Basic subsystems of the system controlling the software are distinguished: monitoring, manual, automatic, and automated control. It is shown that the development of control actions on the software can be performed according to prior knowledge of managers, input data flow, and user models. A classification of control problems of intelligent systems is proposed. According to this classification, methods for achieving controllability of intelligent systems and examples of control problems of information resources, problem solvers, and user interfaces of intelligent systems are considered.