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A Model Driven Data Mining System for Studying Environmental Impact of…

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
A2-4784
Solicitation Year:
2010
Solicitation Topic Code:
A10-107
Solicitation Number:
2010.2
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive suite 400 Rockville, MD 20855-
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2012
Title: A Model Driven Data Mining System for Studying Environmental Impact of Nanomaterials
Agency / Branch: DOD / ARMY
Contract: W912HZ-12-C-0004
Award Amount: $730,000.00
 

Abstract:

As more engineered nanomaterials (eNM) are developed for military use, it is crucial to minimize any unintended environmental impacts (NEI) resulting from the application of eNM. To realize this vision, industry and policymakers must base risk management decisions on sound scientific information about the environmental fate of NM; their availability to receptor organisms, including related concepts such as uptake; and any resultant biological effects, e.g. toxicity. Intelligent Automation, Inc. (IAI) is developing a Model driven Data Mining System for studying Environmental Impact of Nanomaterials, NEIMiner, which consists of four components. The NEI modeling framework defines the scope of NEI modeling and the strategy of integrating NEI models to form a layered, comprehensive predictability similar to the Framework for Risk Analysis of Multi-Media Environmental Systems (FRAMES). The data integration layer brings together heterogeneous data sources related to NEI via automatic web services and web scraping technologies. The data management and access layer reuses and extends a popular Content Management System (CMS), Drupal, and consists of modules that model and enable interactions over a complex data structure for NEI related bibliography and characterization data. The model discovery and composition layer provides an analysis capability for NEI data.

Principal Investigator:

Kaizhi Tang
Senior Research Scientist
(301) 294-5214
ktang@i-a-i.com

Business Contact:

Mark James
Director
(301) 294-5221
mjames@i-a-i.com
Small Business Information at Submission:

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD -

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No