New as of 22 April 2014


DOE Phase I STTR from DOE on 
GPR for Plant Root Analysis

In February 2014 RNET was awarded a Phase I STTR titled “Ground Penetrating Radar System (GPR) and Algorithms for Fine Root Analysis” from the DOE (Department of Energy). The University of Dayton Research Institute (UDRI) is a collaborator on this STTR project.

GPR technology is a superlative choice for non-destructive imaging and analysis of roots. Current GPR-based root analysis techniques are designed for coarse root analysis and are unable to provide an accurate image of the root structure. The focus of this project is to develop an unconventional GPR system designed with greater accuracy, penetration depth, and imaging capabilities will extend the GPR technology for more accurate root analysis.

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DOE Phase I STTR from DOE on MapReduce

 

In February 2014 RNET was awarded a Phase I STTR titled “A MapReduce-like Data-Intensive Processing Framework for Native Data Storage and Formats” from the DOE (Department of Energy). The Ohio State University (OSU) is a collaborator on this STTR project. MapReduce is a very popular data analytic framework that is widely used in both industry and scientific research. Despite the popularity of MapReduce, there are several obstacles to applying it for developing some commercial and scientific data analysis applications.
 
This project will develop Native data FOrmat MapREDuce-like framework, iNFORMER, based on OSU’s SciMate architecture. The framework allows MapReduce-like applications to be executed over data stored in a native data format, without first loading the data into the framework. This addresses a major limitation of existing MapReduce-like implementations that require the data to be loaded into specialized file systems, e.g., the Hadoop Distributed File System (HDFS). The overheads and additional data management processes required for this translation can prevent MapReduce from being used in many commercial and scientific environments.

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