SBIR-STTR Award

Multi-Agent Analysis System for ISR Filtering and Fusion (MASIFF)
Award last edited on: 2/1/2013

Sponsored Program
SBIR
Awarding Agency
DOD : Army
Total Award Amount
$799,938
Award Phase
2
Solicitation Topic Code
A07-103
Principal Investigator
Jeff S Collier

Company Information

Sytronics Inc

4433 Dayton-Xenia Road Building 1
Dayton, OH 45432
   (937) 431-6100
   N/A
   www.sytronics.com
Location: Single
Congr. District: 10
County: Montgomery

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2008
Phase I Amount
$69,966
As net-centric information becomes available to the Warfighter in ever increasing amounts and types, the risk of information overload becomes a serious problem. Tools for filtering, fusing, and analyzing data have become critical components for the effective use of ISR data. The typical strategy for dealing with the large amounts of complex ISR data is to employee additional personnel to present it to the Warfighter, but this is expensive and prone to human error. We have found that the current state-of-the-art in software agent technology should allow the use of software agents to perform the roles of gathering and presenting the information, and in some cases doing so with greater accuracy and efficiency than is possible for human operators. To validate this approach, we will create a prototype of software agents based on a service-oriented architecture (SOA) that can interface with net-centric feeds; analyze, prioritize, and filter the data; and provide it to the operator. The end result will be a set of software agents capable of assisting an operator with Tasking, Processing, Exploitation, and Dissemination (TPED) and Task, Post, Process, and Use (TPPU).

Keywords:
Software Agents, Soa (Service Oriented Architecture), Net-Centric, Mas (Multi-Agent Architecture), Isr (Information Surveillance Recognizance), Data Fusion, Information Overlo

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2010
Phase II Amount
$729,972
Intelligence, surveillance, and reconnaissance (ISR) information has become an essential element in military operations, drug interdiction, and border security. Great effort is being expended to increase ISR data gathering capabilities, with a goal of persistent and pervasive coverage of the operations space. However, tools capable of flexibly and effectively extracting actionable information from this deluge of data have lagged behind. To address this problem, SYTRONICS proposes to develop the Multi-agent Analysis System for ISR Filtering and Fusion (MASIFF). MASIFF will employ a cloud-based distributed network of services or intelligent software agent-components to create a service-oriented architecture (SOA) for the filtering, fusion, and analysis of ISR data. Sophisticated filter, fusion, and analysis components will be developed to process information acquired from existing ISR stovepipe applications, Worldwide Web, and cloud via Machine-Machine Interface (MMI) components. Workflow will be visually programmed to create modifiable, reusable systems. MASIFF analysis results will be displayed on a cognitively-designed Human-System Interface (HSI) which enhances situation awareness and understanding. Output will be redirectable back to legacy and other intelligence systems via services or agents. MASIFF technology may also be applicable in domains outside of the traditional military ISR, such as Missile Defense and Homeland Security.

Keywords:
Software Agents Soa (Service-Oriented Architecture) Net-Centric Information Isr (Information Surveillance Reconnaissance) Data Filtering Data Fusion Data Analysis Ontology