UTILIZE PREDICTIVE DATA ANALYTICS TO PREDICT FUTURE OR OTHERWISE UNKNOWN EVENTS

GCAS

Gcas incorporated is a cutting-edge technology services and products company with more than 40 years of service and experience in support of our national defense missions. Over this time, span, gcas has been a leading pioneer in the development and applications in modeling, simulation, and analysis utilizing artificial intelligence (Ai) techniques to develop software products and services for both government and commercial markets. The major focus of our business operations has been in the areas of probabilistic reasoning under rule-based expert systems, kalman filters, markov chains, bayesian networks, decision networks/influence diagrams, probabilistic relational models, neural networks and other advanced statistical techniques. At GCAS, our main areas of expertise consist of:

ARTIFICIAL INTELLIGENCE

Gcas specialize in artificial intelligence techniques such as Neural Networks, Machine Learning, Expert Systems, Bayesian Networks, Decision Networks, and autonomous agents, particularly for problems involving reasoning under uncertainty and systems that change over time.

DYNAMIC SYSTEMS

Gcas’ experience spans many years of aerospace product development in dynamic control systems, structural dynamics and acoustic analysis, and dynamic testing.

PLANNING AND SCHEDULING

Gcas incorporated has several current efforts in automated and mixed-initiative A.I. Planning and scheduling from a theoretical and practical aspect. In our theoretical research, we are developing the core technologies in knowledge representation for realistic planning domains, search techniques, and planning frameworks.

PROBABILISTIC REASONING

GCAS has designed a number of unique tools for developing applications for reasoning under uncertainty. These include a knowledge acquisition System for Probabilistic and Logical Reasoning (SPLORE) that integrates the state-of-the-art techniques in both logical and probabilistic reasoning through the complement of the Knowledge Machine (KM) and Probabilistic Relational Models (PRMS) languages and Second Order Uncertainty (SOU) that propagates the effects of intervals and probability distributions of uncertainty specified for both provided evidence and Conditional Probability Table (CPT) parameters in Bayesian networks, and utility tables in decision networks.

DEVELOPED SOLUTIONS FOR A WIDE VARIETY OF DIVERSE APPLICATIONS:

CORROSION AND MATERIAL DETERIORATION

  • Accelerated corrosion expert simulator for automotive and aircraft (ACES)
  • Autonomous tank and void inspection software and flying robots
  • Expert structure and coating analysis tool
  • Aircraft inspection and repair system
  • Data mining and analytics navair inspection dbs
  • Advanced data mining methods for selecting coatings and paints

PLANNING, SCHEDULING, AND PROJECT MANAGEMENT

  • Acquisition decision expert planning tool
  • Distributed missions and means system (DMMS)
  • Linking project task outputs to program objectives and long-range impact
  • Logic model development
  • Battlespace management planning and scheduling

ACOUSTICS, STRUCTURAL DYNAMICS, AND CONTROLS

  • Acquisition decision expert planning tool
  • Distributed missions and means system (DMMS)
  • Linking project task outputs to program objectives and long-range impact
  • Logic model development
  • Battlespace management planning and scheduling

RADAR SYSTEMS, TARGET RECOGNITION, AND TRACKING

  • Error propagation in missile tracking
  • Target and feature recognition
  • AEGIS PIP Tracking and Response Scheduling
  • Knowledge Acquisition for Level II/III Fusion
  • MISCAT RCS
  • Low RCS parabolic radar antenna design
  • Feature id in heavy cloud cover
  • Cognitive radar resource management system for scheduling maritime aerial surveillance
  • Methods for determining the probability of kill (PK) for an assembly of predicted impact points (PIPs) of interceptors to incoming threat targets
  • Developed methods for feature and target recognition under realistic attack scenarios in the MDA BMDS domain
  • Developed methods for determining the impact of accumulate uncertainties in target tracking, including methods to reduce that uncertainty

MEDICAL SYSTEMS

  • Life-sign decision support for the warfighter physiological status monitor
  • Casper neural network for speech
  • Integrated clinical environment supervisor
  • Touch-for-payment system

CORROSION AND MATERIAL DETERIORATION

  • Second order uncertainty
  • Extending bayesian methods to include second order uncertainty
  • Intelligent searches of digital libraries
  • Cars traffic accident reporting system
  • Computer art station development
  • CLIPBOARD handheld computer
  • Government job cost accounting for contractor companies. GCAS, eManage, eTimecard, eExpense, ePurchase, OPTO
  • Gcas specializes in artificial intelligence techniques such as expert systems, bayesian networks and autonomous agents, particularly for problems involving reasoning under uncertainty.

GENERAL ENGINEERING

VIBRATION / ACOUSTICS: GCAS’s experience spans many years of aerospace product development in structural dynamics and acoustic analysis, testing and noise control.

  • Structural dynamics and acoustics
  • Blast/ESET
  • NASA wakes
  • ACES
  • Corrdbms and airs
  • CES
  • ECAT
  • ESCAT

ARTIFICIAL INTELLIGENCE

  • Probabilistic reasoning
  • Blast/ESET
  • Knowledge acquisition
  • Second order uncertainty
  • Planning and scheduling: gcas incorporated has several current efforts in automated and mixed-initiative a.I. Planning and scheduling from a theoretical and practical aspect. In our theoretical research, we are developing the core technologies in knowledge representation for realistic planning domains, search techniques, and planning frameworks.
  • Command and Control
  • Logic Models
  • ADEPT
  • DMMS
  • Expert Tools
  • CES
  • ECAT
  • Life Sign Monitoring
  • Statistical Data Collection
  • DataNet
  • Data Mining
  • Digital Library Search Methods
  • Neural Networks
  • Casper
  • Simulation and Modeling
  • ACES
  • CAFS
  • Missile Tracking Simulation