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

g

User interface Developer interface

WORKING MEMORY

Knowledge, goals, plans

Pla

n

Ext

erna

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, …)