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LOTS (Low Overhead Training System) Wins Prestigious Governor’s Technology Award

LOTS (Low Overhead Training System), developed by IDSI programmers and the Joint and Coalition Warfighting Center received a Governor's Technology Award for Innovative Application of Modeling and Simulation Techniques.

 
 
Mr. Randy Kubik and LTC Owens accepting the Governor's Technology Award for LOTS
Mr. Randy Kubik and LTC Owens accepting the Governor's Technology Award for LOTS
PRLog - Sep. 24, 2012 - CENTREVILLE, Va. -- LOTS (Low Overhead Training System) received an award for Innovative Application of Modeling and Simulation Techniques at the 2012 Commonwealth of Virginia Innovative Technology Symposium (COVITS). The Governor’s Technology Awards (GTA) program has been active for sixteen years and recognizes “public sector IT projects that have improved government service delivery and efficiency.” According to the COVITS GTA Web page, “winners were determined by a distinguished panel of government information technology experts.” More information on COVITS and the GTAs can be found at www.covits.org.

Intelligent Decision System, Inc.’s (IDSI) talented team of developers from the Live, Virtual, Constructive and Gaming (LVC-G) division worked hand in hand with the Joint and Coalition Warfighting Center in the development of LOTS.  The Low Overhead Training System (LOTS) is a software application that reduces the hardware, software, and personnel required to provide the training audience a common operational picture when adjudication of major combat operations is not required. LOTS supported U.S. European Command’s Austere Challenge 12 crisis action planning instead of the full Joint Live Virtual and Constructive (JLVC) capability. The JLVC is a proven state-of-the-art capability, but it requires significant resources of time, expertise, and infrastructure to plan, configure, and operate. The multiple training events it supports create data requirements, availability challenges, and distribution requirements unparalleled in the training arena. Employment of LOTS in Austere Challenge 12, based on an analysis of U.S. European Command training objectives, resulted in an order of magnitude reduction of simulation operators required to support the exercise. While LOTS will not meet all training objectives for all joint exercises, when it can, substantial savings can be realized without sacrificing realism.

IDSI’s LVC-G Division, led by Mr. Randy Kubik, provides systems engineering, integration expertise, and managerial support in designing, developing, building, integrating, operating, and maintaining Joint and Army training environments. IDSI is the industry leader in integrating Army Battle Command Systems (ABCS) workstations and Joint C2 systems with Models and Simulations. IDSI’s LVC-G Division has extensive experience in the design and development of simulation based training architectures, C4I architectures, planning, exercise support, after-action review, analytical tools, and extensive product fielding in support of these training environments. Clients can expect End-to-End system engineering expertise for all Joint and Service specific C4I devices and simulation interfaces to them.

Intelligent Decision Systems, Inc. (IDSI) is a woman-owned, small business providing cost-effective training, modeling and simulation, and human performance services and solutions. Our methodologies reflect an academically disciplined approach integrating current research, leading-edge technologies, and practical experience to provide solutions that can be implemented in real world operational environments. We take great pride in both the dependability of our proposed solutions as well as in the substantiation of both the effectiveness and efficiency of the solution itself. As a result, we enjoy significant repeat business from our customers.

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Source:Intelligent Decision Systems, Inc.
Zip:20120
Location:Centreville - Virginia - United States
Industry:Government, Technology
Tags:lots, modeling and simulation, COVITS, Technology, Innovation
Shortcut:prlog.org/11980654
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