Dr. John T. Langton Profile

Dr. John T. Langton

President and Principal Scientist at VisiTrend LLC

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Publications (4)

Proceedings Article | 28 April 2010 Paper

Visualization for cyber security command and control

John Langton, Brent Newey, Paul Havig

Proceedings Volume 7709, 770911 (2010) https://doi.org/10.1117/12.850646

KEYWORDS: Visualization, Computer security, Information security, Visual analytics, Databases, Information visualization, Network security, Homeland security, Network architectures, Internet

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Proceedings Article | 28 April 2010 Paper

Evaluation of current visualization tools for cyber security

John Langton, Brent Newey

Proceedings Volume 7709, 770910 (2010) https://doi.org/10.1117/12.850160

KEYWORDS: Visualization, Computer security, Information visualization, Information security, Analytical research, Visual analytics, Network security, Human-computer interaction, 3D acquisition, Databases

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Proceedings Article | 2 May 2008 Paper

An evolutionary algorithm technique for intelligence, surveillance, and reconnaissance plan optimization

John Langton, Joseph Caroli, Brad Rosenberg

Proceedings Volume 6964, 696407 (2008) https://doi.org/10.1117/12.784272

KEYWORDS: Intelligence systems, Evolutionary algorithms, Sensors, Genetics, Signals intelligence, Optimization (mathematics), Radar, Genetic algorithms, Computer programming, Surveillance

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To support an Effects Based Approach to Operations (EBAO), Intelligence, Surveillance, and Reconnaissance (ISR) planners must optimize collection plans within an evolving battlespace. A need exists for a decision support tool that allows ISR planners to rapidly generate and rehearse high-performing ISR plans that balance multiple objectives and constraints to address dynamic collection requirements for assessment. To meet this need we have designed an evolutionary algorithm (EA)-based "Integrated ISR Plan Analysis and Rehearsal System" (I2PARS) to support Effects-based Assessment (EBA). I2PARS supports ISR mission planning and dynamic replanning to coordinate assets and optimize their routes, allocation and tasking. It uses an evolutionary algorithm to address the large parametric space of route-finding problems which is sometimes discontinuous in the ISR domain because of conflicting objectives such as minimizing asset utilization yet maximizing ISR coverage. EAs are uniquely suited for generating solutions in dynamic environments and also allow user feedback. They are therefore ideal for "streaming optimization" and dynamic replanning of ISR mission plans. I2PARS uses the Non-dominated Sorting Genetic Algorithm (NSGA-II) to automatically generate a diverse set of high performing collection plans given multiple objectives, constraints, and assets. Intended end users of I2PARS include ISR planners in the Combined Air Operations Centers and Joint Intelligence Centers. Here we show the feasibility of applying the NSGA-II algorithm and EAs in general to the ISR planning domain. Unique genetic representations and operators for optimization within the ISR domain are presented along with multi-objective optimization criteria for ISR planning. Promising results of the I2PARS architecture design, early software prototype, and limited domain testing of the new algorithm are discussed. We also present plans for future research and development, as well as technology transition goals.

Proceedings Article | 29 January 2007 Paper

NeuroVis: combining dimensional stacking and pixelization to visually explore, analyze, and mine multidimensional multivariate data

John Langton, Astrid Prinz, Timothy Hickey

Proceedings Volume 6495, 64950H (2007) https://doi.org/10.1117/12.706110

KEYWORDS: Databases, Visualization, Neurons, Neuroscience, Calcium, Sodium, Visual analytics, Brain mapping, Data mining, Mining

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