The Experts below are selected from a list of 249 Experts worldwide ranked by ideXlab platform
David B Funk - One of the best experts on this subject based on the ideXlab platform.
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Standardizing Grain Moisture Meter Performance: Overview of an On-going Calibration Program
2009 Reno Nevada June 21 - June 24 2009, 2020Co-Authors: Richard O Pierce, Cathleen A Brenner, Larry D Freese, David B FunkAbstract:The Grain Quality Incentives Act of 1990, passed as part of the 1990 Farm Bill, outlined a broad-based approach for addressing Grain quality concerns and enhancing the competitiveness of U.S. Grain exports. One issue addressed by the Act was the need to standardize commercial Grain Inspection equipment. As a result of this legislation, the Federal Grain Inspection Service was authorized to work with the National Institute of Standards and Technology and the National Conference on Weights and Measures to develop testing and standardization procedures for Grain moisture meters used in commercial transactions. This overview summarizes activities and accomplishments for a national Grain moisture meter program that was implemented in 1993. Results and discussion focus on efforts to improve uniformity of moisture content measurements for fifteen major Grains included in an on-going moisture meter calibration program. Summary results are presented for multiple years of data for a variety of moisture meter technologies.
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Unifying Parameters for a VHF Unified Grain Moisture Algorithm
2005 Tampa FL July 17-20 2005, 2020Co-Authors: Péter Mészáros, David B FunkAbstract:The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many Grain types into a single “unified calibration”. The purposes of this research were to further refine the unifying parameters for Grain types that had already been “calibrated,” and establish processes for determining unifying parameters from the chemical and physical properties of Grains. The data used in this research were obtained as part of the USDA-Grain Inspection, Packers and Stockyards Administration’s Annual Moisture Calibration Study. More than 5000 Grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a VHF prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major Grain types were obtained from the literature. The data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation unifying parameters were not modeled successfully, but these parameters can be estimated relatively easily through limited Grain tests. These results confirmed the feasibility of simplifying the calibration process by predicting critical parameters from Grain chemical and physical parameters.
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Unifying Calibration Parameters for Dielectric Moisture Meter
Progress in Agricultural Engineering Sciences, 2006Co-Authors: Péter Mészáros, David B FunkAbstract:The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many Grain types into a single “unified calibration”. The purposes of this research were to establish processes for determining unifying parameters from the chemical and physical properties of Grains. The data used in this research were obtained as part of the United States Department of Agriculture-Grain Inspection, Packers and Stockyards Administration's Annual Moisture Calibration Study. More than 5,000 Grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a Very High Frequency prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major Grain types were obtained from the literature. Data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation un...
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Adapting the Unified Grain Moisture Algorithm to Commercial Instruments
2006 IEEE Instrumentation and Measurement Technology Conference Proceedings, 2006Co-Authors: Zoltan Gillay, David B FunkAbstract:The purpose of this paper was to describe further refinements of the unified Grain moisture algorithm (a VHF dielectric method) that was developed by the United States Department of Agriculture - Grain Inspection, packers and stockyards administration. Over 6000 samples representing several crop years and over 50 Grain types were used to assess sensitivities to instrument design parameters. Finite difference analysis was used to model test cell characteristics to yield further design guidance. Test cell mathematical models based on signal-flow-graphs and ABCD matrices were developed and compared. Measurement accuracy requirements were quantified and recommendations were made regarding successful design of compatible moisture meters
Bengt Hyberg - One of the best experts on this subject based on the ideXlab platform.
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The market valuation of wheat quality characteristics
Journal of Economic Studies, 1996Co-Authors: Bengt HybergAbstract:Addresses whether the Grain quality factors used by the Federal Grain Inspection Service of the US Department of Agriculture in determining the quality grades of wheat exported by the USA including test weight, dockage, moisture content, percentage of foreign material, percentage of shrunken and broken kernels, and protein content, are characteristics that influence the price of wheat for export. Using data on the transactions price for hard red winter wheat, hard red spring wheat, and soft white wheat and the associated quality characteristics, exported between January 1990 and October 1991 to 63 countries, finds that only the test weight and the protein content are characteristics consistently valued by the market.
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Differentiation And Implicit Prices Of U.S. Wheat Exports
Journal of food distribution research, 1996Co-Authors: Bengt HybergAbstract:This investigation looks at whether the grade determining and official criteria factors identified by the Federal Grain Inspection Service influence the price of wheat for export and, in turn, the competitiveness of United States wheat in the world market. Using data on the transactions price for hard red winter wheat, hard red spring wheat, and soft white wheat and the associated quality characteristics covering the period January 1990 through December 1991 and exported to 63 countries, the results suggest that the test weight, the percentage of shrunken and broken kernels, the protein content, the presence of aflatoxin, the presence of insects, and the falling number are characteristics consistently valued by the market.
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The market value of quality characteristics for US wheat exports
Oxford Agrarian Studies, 1995Co-Authors: Bengt HybergAbstract:Abstract This study examines whether the grade determining and official criteria identified by the Federal Grain Inspection Service, including such things as test weight, moisture content, percentage of foreign material, percentage of shrunken and broken kernels, protein content, percentage of dockage, falling number, and the presence of insects influence the price of wheat for export and, in turn, the competitiveness of US wheat in the world market. Using shiplot data on the transactions price for hard red winter wheat, hard red spring wheat, and soft white wheat and the associated quality characteristics covering the period January 1990 to December 1991 and exported to 63 countries, the results suggest that the test weight, the percentage of shrunken and broken kernels, the protein content, the presence of aflatoxin, the presence of insects, and falling number are characteristics consistently valued by the market.
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A Note on the Market Valuation of Grain Quality Characteristics
Journal of International Food & Agribusiness Marketing, 1995Co-Authors: Bengt Hyberg, Stephanie Mercier, Conrad LyfordAbstract:The issue addressed in this paper is whether the Grain quality factors used by the Federal Grain Inspection Service in determining the quality grades of wheat exported by the United States including test weight, dockage, moisture content, percentage of foreign material, percentage of shrunken and broken kernels, and protein content are characteristics that influence the price of wheat for export. Using shiplot data on the transactions price for hard red winter wheat, hard red spring wheat, and soft white wheat and the associated quality characteristics covering the period January 1990 through October 1991 and exported to 63 countries, the results suggest that only the test weight and the protein content are characteristics consistently valued by the market.
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The market valuation of the FGIS Grain quality characteristics
Applied Economics, 1994Co-Authors: Bengt Hyberg, Stephanie Mercier, Conrad LyfordAbstract:The issue addressed in this paper is whether the Grain quality factors used by the Federal Grain Inspection Service in determining the quality grades of wheat exported by the United States including test weight, dockage, moisture content, percentage of foreign material, percentage of shrunken and broken kernels, and protein content are characteristics that influence the price of wheat for export. Using shiplot data on the transactions price for hard red winter wheat, hard red spring wheat and soft white wheat and the associated quality characteristics covering the period January 1990 to October 1991 and exported to 63 countires, the results suggest that only the test weight and the protein content are characteristics consistently valued by the market.
Zhibo Pang - One of the best experts on this subject based on the ideXlab platform.
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High accuracy indoor localization for robot-based fine-Grain Inspection of smart buildings
2016 IEEE International Conference on Industrial Technology (ICIT), 2016Co-Authors: Asad Khalid Raja, Zhibo PangAbstract:High accuracy indoor localization is demanded by future Smart Buildings to provide fine-Grain temporal resolution of the data collected by various sensors (e.g. to optimize the operation of HVAC by real time temperature and air quality monitoring) and further provide high accuracy location based services. As an example use case, fine-Grain and real-time building Inspection aided by robots or drones is promising for buildings maintenance and energy efficiency. The high resolution Impulse Radio-based Ultra-Wide Band (IR-UWB) has been gaining momentum due to its fine-Grain accuracy. In this paper, a system level architecture is proposed to enable robot-based fine-Grain building Inspection by combining the IR-UWB-based high accuracy localization with drone-control system, and real time data analytics. The architecture is verified by a fully working prototype using off-the-shelf components. Experimental results of the localization system illustrated position error down to 2cm. The drone's real time video, flight path can be used with additional sensors to scan indoor areas and form environmental panoramas which can quantify energy losses in harsh or hard to reach areas.
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ICIT - High accuracy indoor localization for robot-based fine-Grain Inspection of smart buildings
2016 IEEE International Conference on Industrial Technology (ICIT), 2016Co-Authors: Asad Khalid Raja, Zhibo PangAbstract:High accuracy indoor localization is demanded by future Smart Buildings to provide fine-Grain temporal resolution of the data collected by various sensors (e.g. to optimize the operation of HVAC by real time temperature and air quality monitoring) and further provide high accuracy location based services. As an example use case, fine-Grain and real-time building Inspection aided by robots or drones is promising for buildings maintenance and energy efficiency. The high resolution Impulse Radio-based Ultra-Wide Band (IR-UWB) has been gaining momentum due to its fine-Grain accuracy. In this paper, a system level architecture is proposed to enable robot-based fine-Grain building Inspection by combining the IR-UWB-based high accuracy localization with drone-control system, and real time data analytics. The architecture is verified by a fully working prototype using off-the-shelf components. Experimental results of the localization system illustrated position error down to 2cm. The drone's real time video, flight path can be used with additional sensors to scan indoor areas and form environmental panoramas which can quantify energy losses in harsh or hard to reach areas.
Asad Khalid Raja - One of the best experts on this subject based on the ideXlab platform.
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High accuracy indoor localization for robot-based fine-Grain Inspection of smart buildings
2016 IEEE International Conference on Industrial Technology (ICIT), 2016Co-Authors: Asad Khalid Raja, Zhibo PangAbstract:High accuracy indoor localization is demanded by future Smart Buildings to provide fine-Grain temporal resolution of the data collected by various sensors (e.g. to optimize the operation of HVAC by real time temperature and air quality monitoring) and further provide high accuracy location based services. As an example use case, fine-Grain and real-time building Inspection aided by robots or drones is promising for buildings maintenance and energy efficiency. The high resolution Impulse Radio-based Ultra-Wide Band (IR-UWB) has been gaining momentum due to its fine-Grain accuracy. In this paper, a system level architecture is proposed to enable robot-based fine-Grain building Inspection by combining the IR-UWB-based high accuracy localization with drone-control system, and real time data analytics. The architecture is verified by a fully working prototype using off-the-shelf components. Experimental results of the localization system illustrated position error down to 2cm. The drone's real time video, flight path can be used with additional sensors to scan indoor areas and form environmental panoramas which can quantify energy losses in harsh or hard to reach areas.
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ICIT - High accuracy indoor localization for robot-based fine-Grain Inspection of smart buildings
2016 IEEE International Conference on Industrial Technology (ICIT), 2016Co-Authors: Asad Khalid Raja, Zhibo PangAbstract:High accuracy indoor localization is demanded by future Smart Buildings to provide fine-Grain temporal resolution of the data collected by various sensors (e.g. to optimize the operation of HVAC by real time temperature and air quality monitoring) and further provide high accuracy location based services. As an example use case, fine-Grain and real-time building Inspection aided by robots or drones is promising for buildings maintenance and energy efficiency. The high resolution Impulse Radio-based Ultra-Wide Band (IR-UWB) has been gaining momentum due to its fine-Grain accuracy. In this paper, a system level architecture is proposed to enable robot-based fine-Grain building Inspection by combining the IR-UWB-based high accuracy localization with drone-control system, and real time data analytics. The architecture is verified by a fully working prototype using off-the-shelf components. Experimental results of the localization system illustrated position error down to 2cm. The drone's real time video, flight path can be used with additional sensors to scan indoor areas and form environmental panoramas which can quantify energy losses in harsh or hard to reach areas.
Péter Mészáros - One of the best experts on this subject based on the ideXlab platform.
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New Dielectric Moisture Measurement Technologies
2020Co-Authors: D. B. Funk, Zoltan Gillay, Péter Mészáros, J. H. Rampton, L. D. FreeseAbstract:Moisture content is one of the most important quality factors in marketing Grain, since it determines both the quantity of dry matter traded and the storability of the Grain. Its significance is heightened rather than diminished when dealing with high-value specialty crops. The National Type Evaluation Program for Grain moisture meters facilitates the development of accurate moisture meter calibrations for commercial moisture meters for the fifteen major Grain types in the United States, but that process is too slow and expensive to provide timely moisture meter calibrations for emerging specialty crops. Research performed by USDA-Grain Inspection, Packers and Stockyards Administration (GIPSA) and USDA-Agricultural Research Service (Athens, GA) (ARS) has created a new dielectric moisture measurement technology that provides improved accuracy and greatly simplifies the calibration development process. In this method, many similar types of Grains (such as wheat classes, rough rice classes, edible beans, processed rice, etc.) can be grouped together to use exactly the same calibrations. Furthermore, distinctly different types of cereal Grains and oilseeds can be combined into one single calibration by the use of a few “unifying parameters.” The accuracy of the method, with a single unified calibration, is substantially better than what is achievable with current Grain moisture meters using separate calibrations for each distinct Grain type. Therefore, it appears that the differences between commodity Grain types and similar specialty Grains should not require separate calibrations. This could remove the development of moisture meter calibrations as an impediment to marketing new specialty Grains.
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Unifying Parameters for a VHF Unified Grain Moisture Algorithm
2005 Tampa FL July 17-20 2005, 2020Co-Authors: Péter Mészáros, David B FunkAbstract:The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many Grain types into a single “unified calibration”. The purposes of this research were to further refine the unifying parameters for Grain types that had already been “calibrated,” and establish processes for determining unifying parameters from the chemical and physical properties of Grains. The data used in this research were obtained as part of the USDA-Grain Inspection, Packers and Stockyards Administration’s Annual Moisture Calibration Study. More than 5000 Grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a VHF prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major Grain types were obtained from the literature. The data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation unifying parameters were not modeled successfully, but these parameters can be estimated relatively easily through limited Grain tests. These results confirmed the feasibility of simplifying the calibration process by predicting critical parameters from Grain chemical and physical parameters.
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Unifying Calibration Parameters for Dielectric Moisture Meter
Progress in Agricultural Engineering Sciences, 2006Co-Authors: Péter Mészáros, David B FunkAbstract:The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many Grain types into a single “unified calibration”. The purposes of this research were to establish processes for determining unifying parameters from the chemical and physical properties of Grains. The data used in this research were obtained as part of the United States Department of Agriculture-Grain Inspection, Packers and Stockyards Administration's Annual Moisture Calibration Study. More than 5,000 Grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a Very High Frequency prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major Grain types were obtained from the literature. Data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation un...
