+1 (979) 260-5274

Category: Data Visualization & Display

Adaptive Trajectory Reshaping & Control System (ATRC)

The ATRC initiative developed real time solution techniques and algorithms for a reconfigurable control and guidance system for autonomous reusable launch vehicles (RLVs).  ATRC includes on-line parameter learning and real time reshaping of vehicle trajectories under uncertain damage/failure scenarios.

The U.S. Air Force, to keep pace with the demands of homeland security and global operations, is exploring methods for improved space utilization.  A significant impediment to increased space utilization is the huge cost of launching operations, and the Air Force is investigating more affordable launch operations via a number of Reusable Launch Vehicle (RLV) programs.  Part of the focus is on maintaining the economic viability of RLVs by enhancing operations safety and reliability;  i.e., to improve RLV capabilities for responding to various uncertainties and emerging situations.

Continue reading

Human Enemy Network Influence Operations Map (HENIOMAP™)

The HENIOMAP™ technology uses advanced utility-theoretic models to provide a human enemy network influence operations map that incorporates cultural, social, and other factors using a simple knowledge acquisition process.  The system assists influence operations (IO) planners in the evaluation and formation of influence operations.

KBSI, in a contract funded by the Office of Naval Research, is developing the hidden enemy network influence operations map (HENIOMAP™) capability, a decision-support tool for course of action (COA) design, analysis and selection in the counterinsurgency (COIN) domain.  HENIOMAP™ provides middle-ware capabilities, assisting COA planners in gap analysis using forward (from COAs to commander’s objective) and backward (from commander’s objective to COAs) reasoning methods.  The HENIOMAP™ COA ontology represents COAs, phases, activities, states, outcomes, measures-of-performance (MOP), and measures-of-effectiveness (MOE).

Continue reading

Maintenance, Repair, & Overhaul Physics & Principles of Operation (MP2O)

MP2O helps depot managers improve agility, throughput, and system responsiveness despite ever-changing demands, priorities, and resource constraints.  MP2O models bring focus to essential aspects of the MRO system, expanding managements’ understanding of the system and their ability to rigorously test system designs.

The increasing volume and pace of Air Force operations worldwide add to the strain on an already aging fleet and the already taxed sustainment enterprises tasked with keeping that fleet in the air.  Air Logistics Centers (ALCs), responsible for aircraft maintenance, repair, and overhaul (MRO), are under pressure to reduce the number of aircraft on station at any given time, speed turnaround, and meet on-time delivery commitments—in other words, to maximize the number of aircraft that are available for duty just when the demand for depot overhaul work is sharply increasing.  The only way to achieve this goal is to increase the speed of the MRO process.  Given the inherent variability of the MRO process and the variety of resource types that must be managed—parts, manpower, equipment, funding, facilities, etc.—this is a particularly challenging goal.

Continue reading

Toolkit for Agent-based Knowledge Extraction (TAKE™)

KBSI used a hybrid approach combining ontology engineering methods with cutting-edge knowledge discovery techniques to extract, analyze, and map ontologies from knowledge and data sources.  The TAKE™ technology helps users to rapidly and cost effectively analyze, redesign, integrate and/or re-engineer their enterprise systems.

In the early phase of the initiative, KBSI established a novel TAKE™ ontology reuse and application method, designed innovative ontology analysis and ontology extraction algorithms, and designed the TAKE™ architecture.  These innovations include the novel application of information fusion techniques for aggregated ontology similarity assessment and mapping the application of advanced knowledge discovery techniques for automated ontology extraction and mapping from multi-source text data.  A demonstration of a prototype TAKE™ software tool was also demonstrated on a focused, high payoff Navy transition application scenario.  The TAKE™ technology provides innovative solutions that address the problems associated with rapidly designing, developing, and deploying large scale knowledge based applications.  KBSI’s overall approach in the initiative conceptualized and validated a framework and a methodology for sustainable knowledge management that encompasses the entire knowledge life cycle:  capture/discovery, representation, analysis, validation, storage, retrieval, (in-context) delivery, and evolution over extended periods of time.

Continue reading

Military Health Data Mining Algorithms Library (M-HDML)

The Military Health Data Mining Algorithms Library (M-HDML) applies data mining technologies and techniques to the storage and retrieval of patient data, helping doctors in the DoD’s vast medical health system (MHS) to more accurately diagnose their patients.

In our increasingly data-centric world, data mining technologies are being enlisted for a wide variety of uses:  from retail sales, to video gaming, to, most recently, combating terrorism.  The staggering amount of data has improved the stock of intelligent data mining systems and knowledge discovery techniques that help users extract meaningful information from enormous data sets.  In the industrial arena, more and more organizations are investing in data mining techniques (software and hardware) as a means for gaining profitable business insights from their huge central transactional databases.  The Gartner group estimates that the use of data mining applications will increase from less than 5% currently to 80% over the next decade.*

Continue reading