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Category: Decision Support Systems

Geospatial Three Dimensional Topology Model (3DTGIS)

3DTGIS provides an innovative 3D topology-based, non-manifold representation approach that enables the ability to integrate a solids modeling capability with COTS Geographic Information Systems (GIS) to improve battlefield decision making.

“Long experience indicates that, all else being equal, military practitioners and their civilian supervisors who purposely make geography work for them are winners more often than not, whereas those who lack sound appreciation for the significance of geography succeed only by accident.”

– John Collins, Military Geography: For Professionals and the Public

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intelligence Rapid Product Generator (iRPG)

The iRPG initiative is extending KBSI’s MODELMOSAIC® technology to support the creation, analysis, and distribution of tactical intelligence data.  iRPG will help users develop application services for assessing COA and develop workflows that address specific domain ontology questions, allowing for more effective use of intelligence data.

KBSI is researching, designing, and developing an intelligence Rapid Product Generator (iRPG) that is an extension of KBSI’s MODELMOSAIC® knowledge management framework.  The iRPG technology will allow the ISR-C2 community to use MODELMOSAIC® in support of warfighters’ creation, analysis, and distribution of tactical intelligence data.

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Information to Systematically Enhance Intuitive Decision-Making (iSEE)

The iSEE initiative researched and developed the critical Augmented Cognition (AugCog) environment extensions needed to improve, via training, the cognitive readiness of military personnel in the high stress, sensorially overwhelming environments that characterize today’s full-spectrum warfare.

The new reality of full-spectrum warfare calls for ordinary soldiers to possess skill sets that extend beyond conventional combat, and, in response, our armed services have recently recognized the importance of formalizing the standards, terms, and instructional foundations associated with “cognitive readiness.”  Cognitive readiness describes the mental preparation an individual must establish and sustain to perform effectively in the complex and unpredictable environment of modern military operations.  Effective cognitive readiness ultimately manifests itself as successful pattern recognition, creative adaptability, and intuitive decision making in the field.

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Data Display Markup Language (DDML)

KBSI is developing an advanced component-based Data Display Markup Language (DDML), an XML-based neutral format also developed by KBSI, as the inter-lingua in translating the data display languages supported by different vendors.

Data display is a critical component for T&E environments in aircraft, space, and energy systems.  Because telemetry functions associated with these systems produce too much data for a single person to comprehend, data display–customizable display objects, including strip charts, bar charts, vertical meters, round gauges, cross plots, tabular displays, orientation displays, and bit maps–is critical in presenting this information in an understandable format.

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Geopolitical Region of Interest Projection System (GRIPS)

GRIPS is a methodology and tool suite that allows military planners to define, systematically evaluate, and globally share data concerning future geo-political contexts.  GRIPS’s quantitative analysis and knowledge sharing capabilities help military planners to current and future force deployment plans.

Naval planners must often look years and decades into the future to answer complex questions concerning the objectives and composition of future forces.  Successful long-term strategic planning starts with a thorough and systematic evaluation of the future states during which the plans will be enacted, followed by an assessment of plan outcomes and trade-offs.  Intelligence Analysts must develop supportable predictions of future geo-political contexts within the regions of interest.

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Information-Fusion Based Indication & Warning Assessment & Recognition System (IIWARS)

The IIWARS system uses text mining technologies and information fusion to mine data from multiple, distributed text sources, extract features and “indicators” of emerging threats, and improve the DoD’s terrorist threat assessment capabilities.

While analysts and strategists are well versed in tracking threats to conventional military targets, the new asymmetric threats posed by terrorist organizations, as 9-11 has made devastatingly clear, are much more difficult to anticipate.  Threats to military targets have traditionally required capabilities that are both expensive and take a long time to develop–activities that satellites and other reconnaissance are more likely to notice.

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After-Action Review & Debrief Intelligent Support (AARDIS)

AARDIS researched advanced electronic warfare (EW) training methods and tools that reduce the cognitive workload of instructors, improve training effectiveness, accelerate improvements in student performance, and reduce training costs.

Pilot training at the U.S. Air Force (USAF) faces two fundamental challenges:  rising training costs and restrictions and the changing nature of military conflicts around the globe.  According to a recent RAND study, the costs of USAF initial skills training (IST) have risen to approximately $750 million per year.  In addition, the opportunities for live training exercises, because of limits on training airspace, rising fuel costs and heightened security, have been diminishing.

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Donor Profile Database (DPD)

The Donor Profile Database (DPD) captures and maintains information about blood donor identity, deferrals, health and travel history, etc. and make this information widely accessible to a network of blood centers.  The DPD allows blood centers to maintain the consistency and integrity of blood product data and maintain global connectivity.

The Federal Drug Administration’s (FDA) continuing efforts to ensure the safety of our nation’s blood supply has highlighted the need for a comprehensive and cost effective method for performing donor screening, archiving donor histories (in a widely accessible format), and validating blood center compliance with FDA and other government and international regulations.  While blood centers are required by the FDA to perform donor screening and to keep records of donor histories, the method for performing these safeguards varies considerably from center to center, making it difficult to oversee donor and blood product safety compliance at the national level.

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Biosurveillance-based Integrated Outbreak Warning And Recognition System (BIOWARS)

The BIOWARS technology is an adaptive system for discovering disease outbreaks and impending bio terrorism attacks.  BIOWARS uses syndromic surveillance to find symptomatic data patterns and applies Bayesian networks in collecting and archiving these patterns.

An important challenge faced by intelligence analysts and the intelligence community in our post 9/11 world is to gather, piece together, and correctly interpret vast amounts of intelligence data–data that may signal an impending attack or that may help limit the severity of an attack.  As a Defense Science Board study of transnational threats noted, the “making of connections between otherwise meaningless bits of information is at the core of (transnational) threat analysis.”

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Text Analytics Situational Awareness Toolkit (T-SAT)

KBSI is researching and designing technology that allows users to rapidly build text analytics-based systems that support the research and analysis of large bodies of disparate, unstructured text sources.

The Text Analytics Situational Awareness Toolkit (T-SAT) will apply an advanced object model that allows users to combine multiple text analytics algorithms to create complex research and analysis scenarios.  The technology will provide a user configurable GUI in which users can rapidly construct research and analysis systems that connect data sources to analytics-based algorithms.  T-SAT’s text analytic-based algorithms can be applied to a wide range of source types–unstructured text from an online social network, text from an online chat room, or digitized textual reports taken from human intelligence sources (HUMINT)–eliminating the need for tailoring algorithms according to each target source.

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