Month: August 2021

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. 

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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Published paper in Journal of Natural Gas Science and Engineering on evaluation of production drivers in the Marcellus Shale using machine learning approaches

Artificial intelligence and machine learning (ML) are being applied to many oil and gas (O&G) applications and seen as novel techniques that may facilitate efficiency gains in exploration and production operations. Significant improvements in that regard are likely to occur when ML can be applied to evaluate O&G challenges with inherent synergies that may have …

Published paper in Journal of Natural Gas Science and Engineering on evaluation of production drivers in the Marcellus Shale using machine learning approaches Read More »

News release by DOE’s Loan Program office featuring report compiled by KeyLogic and partners on evaluating the potential environmental impacts and compliance best practices for carbon capture and storage

The Loan Programs Office (LPO) takes its role in protecting taxpayer interests very seriously, including evaluating the potential impacts of projects in accordance with the National Environmental Policy Act (NEPA).  Given the growth of interest in the carbon capture utilization & sequestration (CCUS) sector, LPO’s Environmental Compliance Division prepared a report as a reference for …

News release by DOE’s Loan Program office featuring report compiled by KeyLogic and partners on evaluating the potential environmental impacts and compliance best practices for carbon capture and storage Read More »

“Featured paper” published in Energies Special Issue on Alternative Energy Policy

This paper evaluates how changes in economic market and policy conditions, including the establishment of a per-unit tax on unabated emissions of carbon dioxide (CO2) set equal to estimates of the social cost of carbon (SCC), influence the economics of carbon capture and storage (CCS) for two hypothetical power generation facilities located in the United …

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