Amber Garnett

KeyPerform leads to improvements at the Department of Labor

KeyPerform enabled us to improve the Department of Labor’s Capital Planning and Investment Control (CPIC) processes.  In the support of the DOL OCIO’s Control Reviews of IT investments, we advanced the process from one that was unstructured, subjective, and variable to one that is more structured, objective, and repeatable. 

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Our KeyInsight Solution

KeyInsight is a web-based knowledge management tool developed to facilitate efficient and effective data and process management. KeyInsight is made up of several modules including the Active Project Database (APD) which integrates data from existing legacy systems and with minimal user entered data can be rolled into reports in various output formats and visualizations. KeyInsight

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IRS Application of KeyDetect

KeyLogic helped IRS staff members move from performing one-by-one analyses of individual database records to letting advanced data-mining tools do much of the work. As part of the Offshore Compliance Initiative, the agency’s investigators provided the forensic expertise, while our experienced professionals developed algorithms to automate and accelerate lead identification.  Results Increased Mission Effectiveness. Our work

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Multifactor Biometrics Data Fusion for Regional Recognition

Biometrics is the automated methodology to uniquely identify humans using their physiological or behavioral attributes. Based on our deep biometrics experience with the Navy and our data science expertise, we are exploring the fusion of multifactor biometrics data to reduce false positives and workflow inefficiencies, while increasing confidence in verification processes.    We are designing

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Airborne Bathymetric Analysis of Littoral Infiltration Points

KeyLogic put together a best-of-the-best team to prototype a man-portable, unmanned airborne vehicle (UAV) to map and assess coastal region for infiltration threats.  KeyLogic designed the integration plan that combined proven platforms, sensors, processors, and applications proven for other applications with novel artificial intelligence models to enable unprecedented bathymetric analysis at the edge. By putting the

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Convolutional Neural Networks on Field Programmable Gate Arrays

KeyLogic data scientists and embedded system software engineers are rewriting convolutional neural network (CNN) algorithms to operate smoothly and efficiently on field programmable-gate arrays (FPGAs). More than standard CPUs and even graphical processing units (GPUs), FPGAs have the capacity to massively accelerate deep learning algorithms on very low power, restricted weight, edge devices for computer

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Using Common Boundaries to Assess Methane Emissions: A Life Cycle Evaluation of Natural Gas and Coal Power Systems

There is consensus on the importance of upstream methane (CH4) emissions to the life cycle greenhouse gas (GHG) footprint of natural gas systems, but inconsistencies among recent studies explain why some researchers calculate a CH4 emission rate of less than 1% whereas others calculate a CH4 emission rate as high as 10%. These inconsistencies arise from differences

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Analysis of Regional Approaches to Reducing CO2 Emissions

Client Challenge: How to build an understanding of the potential impact on the power supply system if states used a mix of regional CO2 policies, some emission rate-based and others mass-based, to meet the requirements of the EPA’s proposed Clean Power Plan. Solution: We designed a set of model scenarios using an enhanced version of NEMS created by

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