Design Of A Probe Type In Situ Electronic Grain Moisture Measurement System

2018 ◽  
Vol 11 (2) ◽  
pp. 246-250 ◽  
Author(s):  
A.K. Rai
Keyword(s):  
Measurement System ◽  
Probe Type ◽  
Moisture Measurement ◽  
Grain Moisture

Use of a Density-Independent Function and Microwave Measurement System for Grain Moisture Measurement

1988 ◽  
Vol 31 (6) ◽  
pp. 1875-1881 ◽  
Author(s):  
S. D. Powell ◽  
B. D. McLendon ◽  
S. O. Nelson ◽  
A. Kraszewski ◽  
J. M. Allison
Keyword(s):  
Measurement System ◽  
Microwave Measurement ◽  
Independent Function ◽  
Moisture Measurement ◽  
Grain Moisture

Soil Moisture Measurement System for DPHP Sensor and In Situ Applications

2013 ◽  
Author(s):  
Vinay S. Palaparthy ◽  
S.U. Susha Lekshmi ◽  
Jobish John ◽  
Shahbaz Sarik ◽  
Maryam Shojaei Bhagini ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Measurement System ◽  
Moisture Measurement ◽  
Soil Moisture Measurement

Effects of Non-uniform Kernel Moisture Content on Moisture Measurement of Corn

2005 ◽  
Vol 1 (1) ◽  
pp. 77-93
Author(s):  
Bíborka Gillay ◽  
David B. Funk
Keyword(s):  
Moisture Content ◽  
Moisture Measurement ◽  
Safe Storage ◽  
Grain Moisture ◽  
Moisture Meter ◽  
Percent Moisture ◽  
New Crop ◽  
The U.S

The price paid for corn is usually based on 15.0 or 15.5 percent moisture content. However, corn must be dried below 13 percent moisture to ensure safe storage for a year or more. In the U.S., such stored corn cannot be directly remoistened before selling it, but it can be mixed with moist new-crop corn. Accurate moisture measurement of mixtures of dry and moist corn is important to permit adjustment of blending ratios to maximize profitability, but grain moisture meters are less accurate for mixtures of wet and dry grain. This research evaluated the differences between dielectric-type moisture meter results for mixed and equilibrated corn samples at different moisture levels and different measurement frequencies. Equilibrated grain samples tended to give lower moisture results than recently mixed grain samples - especially in the 1 to 10 MHz region. These differences permitted detection of mixtures by using moisture measurements at two frequencies.

scholarly journals Monitoring of compliance with fuel sulfur content regulations through unmanned aerial vehicle (UAV) measurements of ship emissions

2019 ◽  
Vol 12 (11) ◽  
pp. 6113-6124 ◽  
Author(s):  
Fan Zhou ◽  
Shengda Pan ◽  
Wei Chen ◽  
Xunpeng Ni ◽  
Bowen An
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Sulfur Content ◽  
Measurement System ◽  
Yangtze River Delta ◽  
Exhaust Gas ◽  
Ship Emissions ◽  
Chemical Examination ◽  
Airborne Measurements ◽  
Aerial Vehicle

Abstract. Air pollution from ship exhaust gas can be reduced by the establishment of emission control areas (ECAs). Efficient supervision of ship emissions is currently a major concern of maritime authorities. In this study, a measurement system for exhaust gas from ships based on an unmanned aerial vehicle (UAV) was designed and developed. Sensors were mounted on the UAV to measure the concentrations of SO2 and CO2 in order to calculate the fuel sulfur content (FSC) of ships. The Waigaoqiao port in the Yangtze River Delta, an ECA in China, was selected for monitoring compliance with FSC regulations. Unlike in situ or airborne measurements, the proposed measurement system could be used to determine the smoke plume at about 5 m from the funnel mouth of ships, thus providing a means for estimating the FSC of ships. In order to verify the accuracy of these measurements, fuel samples were collected at the same time and sent to the laboratory for chemical examination, and these two types of measurements were compared. After 23 comparative experiments, the results showed that, in general, the deviation of the estimated value for FSC was less than 0.03 % (m/m) at an FSC level ranging from 0.035 % (m/m) to 0.24 % (m/m). Hence, UAV measurements can be used for monitoring of ECAs for compliance with FSC regulations.

Design and Modeling of MEMS-Based Trace-Level Moisture Measurement System for GIS Applications in Smart Grid Environment

2017 ◽  
Vol 17 (23) ◽  
pp. 7758-7766 ◽  
Author(s):  
Yashdeep ◽  
Gyan Ranjan Biswal ◽  
Tapas Choudhury ◽  
Tarikul Islam ◽  
Subhas Chandra Mukhopadhyay ◽  
...  
Keyword(s):  
Smart Grid ◽  
Measurement System ◽  
Trace Level ◽  
Grid Environment ◽  
Moisture Measurement ◽  
Gis Applications

Verification of In Situ Thresholds and Integrated Real-Ear Measurements

2010 ◽  
Vol 21 (10) ◽  
pp. 663-670 ◽  
Author(s):  
Jeffrey J. DiGiovanni ◽  
Ryan M. Pratt
Keyword(s):  
Measurement System ◽  
Hearing Aids ◽  
Hearing Aid ◽  
Normal Hearing ◽  
Analysis Tool ◽  
Ohio University ◽  
Positive Direction ◽  
Significant Difference ◽  
Threshold Measurement

Background: Accurate prescriptive gain results in a more accurate fit, lower return rate in hearing aids, and increased patient satisfaction. In situ threshold measurements can be used to determine required gain. The Widex Corporation uses an in situ threshold measurement strategy, called the Sensogram. Real-ear measurements determine if prescriptive gain targets have been achieved. Starkey Laboratories introduced an integrated real-ear measurement system in their hearing aids. Purpose: To determine whether the responses obtained using the Widex Sensogram were equivalent to those obtained using current clinical threshold measurement methods. To determine the accuracy of the Starkey IREMS™ (Integrated Real Ear Measurement System) in measuring RECD (real-ear to coupler difference) values compared to a dedicated real-ear measurement system. Research Design: A verification design was employed by comparing participant data measured from standard, benchmark equipment and procedures against new techniques offered by hearing-aid manufacturers. Study Sample: A total of 20 participants participated in this study. Ten participants with sensorineural hearing loss were recruited from the Ohio University Hearing, Speech, and Language Clinic participated in the first experiment. Ten participants with normal hearing were recruited from the student population at Ohio University participated in both experiments. The normal-hearing group had thresholds of 15 dB HL or better at the octave frequencies of 250–8000 Hz. The hearing-impaired group had thresholds of varying degrees and configurations with thresholds equal to or poorer than 25 dB HL three-frequency pure-tone average. Data Collection and Analysis: The order of measurement method for both experiments was counterbalanced. In Experiment 1, thresholds obtained via the Widex Sensogram were compared to thresholds obtained for each participant using a clinical audiometer and ER-3A insert ear phones. In Experiment 2, RECD values obtained via the Starkey IREMS were compared to RECD values obtained via the Audioscan Verifit™. A repeated-measures analysis of variance (ANOVA) was used for statistical analysis, and a Fisher's LSD (least significant difference) was used as a post hoc analysis tool. Results: A significant difference between Sensogram thresholds and conventional audiometric thresholds was found with the Sensogram method resulting in better threshold values at 0.5, 1.0, and 2.0 kHz for both groups. In Experiment 2, a significant difference between RECD values obtained by the Starkey IREMS and the Audioscan Verifit system was found with significant differences in RECD values found at 0.25, 0.5, 0.75, 1.5, 2.0, and 6.0 kHz. Conclusions: The Sensogram data differ significantly from traditional audiometry at several frequencies important for speech intelligibility. Real-ear measures are still required for verification of prescribed gain, however, calling into question any claims of shortened fitting time. The Starkey IREMS does perform real-ear measurements that vary significantly from benchmark equipment. These technologies represent a positive direction in prescribing accurate gain during hearing-aid fittings, but a stand-alone system is still the preferred method for real-ear measurements in hearing-aid fittings.

scholarly journals In situ noncontact measurement system and two-step compensation strategy for ultra-precision diamond machining

2018 ◽  
Vol 26 (23) ◽  
pp. 30724 ◽  
Author(s):  
Jun Yu ◽  
Zhengxiang Shen ◽  
Xiaoqiang Wang ◽  
Pengfeng Sheng ◽  
Zhanshan Wang
Keyword(s):  
Measurement System ◽  
Compensation Strategy ◽  
Noncontact Measurement ◽  
Diamond Machining ◽  
Ultra Precision
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