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Artificial Intelligence Research Center

Artificial Intelligence Research Center. Program Systems Institute, RAS. Spacecraft Docking Target Parameter Identification. Low sensitivity to image blur and noise. The system is still operational if image is more than 50 % truncated.

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Artificial Intelligence Research Center

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  1. Artificial Intelligence Research Center Program Systems Institute, RAS

  2. Spacecraft Docking Target Parameter Identification • Low sensitivity to image blur and noise. • The system is still operational if image is more than 50% truncated

  3. Visualized Analysis and Control of the Launch Preparation Process • Propellant tank pressurization. • Filling of on-board gas tanks. • … • 19. Starting pyroturbine. • 20. Ignition.

  4. Flying Object Recognition and Parameter Identification from Video Image • Preliminary imageprocessing • Contouring • Categorization

  5. MIRACLE ― Intelligent Software Tools

  6. Intelligent Control System for Spacecraft Docking • Informative and intuitive visualization based on hodographs • Real-time situation analysis and forecast • Possibility of using telemetry data to review and analyze real-life docking procedures

  7. Modelling of Advertising Effects Current assets Total production costs (over the current day) Amount of manufactured goods (during the current day) Average total product costs per day Finished goods in stock Amount of purchased goods (over the current day)

  8. Natural Language Processing • Why NLP? • Information is overwhelming • Information is crucial to decision-making • Only part of relevant information can be found in the form of structured data (databases, spreadsheets, Web forms, etc.) • Unstructured data, or texts, remain the premier source of vital information • Technologies and software tools developed: • INEX – a portable system for information extraction • AKTIS – a portable text categorization tool • SIRIUS – an intelligent meta-search engine

  9. Text Mining: Knowledge Extraction and Management • Problem statement • Large amounts of unstructured text content in various fields (e-Science, Business Intelligence etc.) • Natural language processing is computationally intensive • Data mining approach applies to structured content only • Efficient means of unstructured content management and analysis are required • Issues • Portability between domains • Handling multilingual content • Poor quality of real-life text • Software portability

  10. Text Mining: Knowledge Extraction and Management • Combine different NLP techniques to provide an efficient knowledge management solution • text categorization • information extraction • information retrieval • Enhance existing text mining technology

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