Publications
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Vertical Water Column Survey in the Gulf of Mexico Using Autonomous Underwater Vehicle SOTAB-I
An autonomous underwater vehicle (AUV) called the Spilled Oil and Gas Tracking Autonomous Buoy system (SOTAB-I) is being developed to perform onsite measurements of oceanographic data as well as dissolved…
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SRI Research Presented at the National Energy Technology Laboratory (NETL) 2015 Carbon Capture Technology Meeting
Three SRI researchers presented information at the National Energy Technology Laboratory (NETL) 2015 Carbon Capture Technology Meeting.
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Supporting Parent-Child Experiences with PEG+CAT Early Math Concepts: Report to the CPB-PBS Ready To Learn Initiative (Executive Summary)
The study focused on PEG+CAT, a first-generation transmedia program designed to promote children’s mathematics and approaches to learning (ATL) skills.
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Supporting Parent-Child Experiences with PEG+CAT Early Math Concepts: Report to the CPB-PBS Ready To Learn Initiative (Full Report)
The study presented here addresses the question of how time spent viewing and playing with PBS KIDS educational, non-commercial media at home, in family settings, can foster positive outcomes for…
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Validation of Sleep-Tracking Technology Compared with Polysomnography in Adolescents
Objective- To evaluate the accuracy in measuring nighttime sleep of a fitness tracker (Jawbone UP) compared to polysomnography (PSG).
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Supporting Parent-Child Experiences with PEG+CAT Early Math Concepts: Report to the CPB-PBS Ready To Learn Initiative (Report Highlights)
The study presented here addresses the question of how time spent viewing and playing with PBS KIDS educational, non-commercial media at home, in family settings, can foster positive outcomes for…
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FPGA acceleration for feature based processing applications
In this paper, we describe the implementation of an algorithm that combines distributed feature detector (D-HCD) with a rotational invariant feature descriptor (R-HOG).
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Representation and Analysis of Additively Manufactured Parts
In this paper we show that as-manufactured shapes may be represented in terms of the convolution operation to capture the additive deposition of material, measure the conformance to nominal geometry…
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Device Health Estimation by Combining Contextual Control Information with Sensor Data and Device Health Prognostics Utilizing Restricted Boltzmann Machine
Beyond real- time data collection, we aim to provide analysis capability to obtain insights from the data and converting the learnings into actionable recommendations.
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Scalable Relational Learning for Large Heterogeneous Networks
In this paper, we propose parallel collective matrix factorization (PCMF) that serves as a fast and flexible framework for joint modeling of large heterogeneous networks.
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Monitoring of Intercalation Stages in Lithium-Ion Cells Over Charge-Discharge Cycles with Fiber Optic Sensors
This paper focuses on the potential of hair-thin fiber-optic (FO) sensors to monitor intercalation stage transition points.
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Printed Gas Sensor Network for Methane Leak Detection
PARC is developing a low-cost, high-performance natural gas leak detection system based on printed nanomaterials.