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
Visualized Analysis and Control of the Launch Preparation Process
1. Propellant tank pressurization.2. Filling of on-board gas tanks.…19. Starting pyroturbine. 20. Ignition.
Flying Object Recognition and Parameter Identification from Video Image
•Preliminary imageprocessing•Contouring•Categorization
MIRACLE ― Intelligent Software Tools
Developer interface
System core
Knowledge base (KB)
KB method invocation
Developer interface core component
Graphic shell ConsoleCall
Textual commands
KNOWLEDGE BASE
ANALYSIS AND CONTROL MODULE
INTELLIGENT PLANNING MODULE
Mod
ellin
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User interface Developer interface
WORKING MEMORY
Knowledge, goals, plans
Pla
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Ext
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l int
erfa
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ENVIRONMENT
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
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)
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
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
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
Storage(structured
and categorized text content for easy access)
Text processing
Information extraction
Categorization
Texts
Taggedtexts
Texts+
Structured content (semantic networks, cognitive maps, …)