Field Setup and Assessment of a Cloud-Data Based Crane Scale (CCS) Considering Weight- and Local Green Wood Density-Related Volume References

When investigating the forwarding process within the timber supply chain, insufficient data often inhibits long-term studies or make real-time optimisation of the logistics process difficult. Information sources to compensate for this lack of data either depend on other processing steps or they need additional, costly hardware, such as conventional crane scales. An innovative weight-detection concept using information provided by a commonly available hydraulic pressure sensor may make the introduction of a low-cost weight information system possible. In this system, load weight is estimated by an artificial neural network (ANN) based on machine data such as the hydraulic pressure of the inner boom cylinder and the grapple position.In our study, this type of crane scale was set up and tested under real working conditions, implemented as a cloud application. The weight scale ANN algorithm was therefore modified for robustness and executed on data collected with a commonly available telematics module. To evaluate the system, also with regard to larger sample sizes, both direct weight-reference measurements and additional volume-reference measurements were made. For the second, locally valid weight-volume conversion factors for mainly Norway spruce (Picea abies, 906 kg m-3, standard error of means (SEM) of 13.6 kg m-3), including mean density change over the observation time (–0.16% per day), were determined and used as supportive weight-to-volume conversion factor.Although the accuracy of the weight scale was lower than in previous laboratory tests, the system showed acceptable error behaviour for different observation purposes. The twice-observed SEM of 1.5% for the single loading movements (n=95, root-mean-square error (RMSE) of 15.3% for direct weight reference; n=440, RMSE=33.2% for volume reference) enables long-term observations considering the average value, but the high RMSE reveals problems with regard to the single value information.The full forwarder load accuracy, as unit of interest, was observed with an RMSE of 10.6% (n=41), considering a calculated weight-volume conversion as reference value. An SEM of 5.1% for already five observations with direct weight reference provides a good starting point for work-progress observation support.

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Towards a continuous NASA cloud climate data record from MODIS to VIIRS

10.5194/egusphere-egu21-8502 ◽

2021 ◽

Author(s):

Kerry Meyer ◽

Steven Platnick ◽

Robert Holz ◽

Steven Ackerman ◽

Andrew Heidinger ◽

...

Keyword(s):

Observation Time ◽

Radiometric Calibration ◽

Cloud Detection ◽

Climate Data ◽

Cloud Data ◽

Microphysical Properties ◽

Data Record ◽

Climate Data Record ◽

Relative Radiometric Calibration

<p>The Suomi NPP and JPSS series VIIRS imagers provide an opportunity to extend the NASA EOS Terra (20+ year) and Aqua (18+ year) MODIS cloud climate data record into the new generation NOAA operational weather satellite era. However, while building a consistent, long-term cloud data record has proven challenging for the two MODIS sensors alone, the transition to VIIRS presents additional challenges due to its lack of key water vapor and CO<sub>2</sub> absorbing channels available on MODIS that are used for high cloud detection and cloud-top property retrievals, and a mismatch in the spectral location of the 2.2&#181;m shortwave infrared channels on MODIS and VIIRS that has important implications on inter-sensor consistency of cloud optical/microphysical property retrievals and cloud thermodynamic phase. Moreover, sampling differences between MODIS and VIIRS, including spatial resolution and local observation time, and inter-sensor relative radiometric calibration pose additional challenges. To create a continuous, long-term cloud climate data record that merges the observational records of MODIS and VIIRS while mitigating the impacts of these sensor differences, a common algorithm approach was pursued that utilizes a subset of spectral channels available on each imager. The resulting NASA CLDMSK (cloud mask) and CLDPROP (cloud-top and optical/microphysical properties) products were publicly released for Aqua MODIS and SNPP VIIRS in early 2020, with NOAA-20 (JPSS-1) VIIRS following in early 2021. Here, we present an overview of the MODIS-VIIRS CLDMSK and CLDPROP common algorithm approach, discuss efforts to monitor and address relative radiometric calibration differences, and highlight early analysis of inter-sensor cloud product dataset continuity.</p>

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Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low Arctic conditions at Toolik lake, Alaska

10.5194/amt-2019-402 ◽

2019 ◽

Cited By ~ 1

Author(s):

Werner Eugster ◽

James Laundre ◽

Jon Eugster ◽

George W. Kling

Keyword(s):

Solid State ◽

Low Cost ◽

Full Range ◽

Absolute Humidity ◽

Diel Cycles ◽

Arctic Conditions ◽

Sensor Signals ◽

Ch4 Concentration ◽

Reference Measurements

Abstract. The TGS 2600 was the first low-cost solid state sensor that shows a weak response to ambient levels of CH4 (e.g., range ≈1.8–2.7 ppm). Here we present an empirical function to correct the TGS 2600 signal for temperature and (absolute) humidity effects and address the long-term reliability of two identical sensors deployed from 2012 to 2018. We assess the performance of the sensors at 30-minute resolution and aggregated to weekly medians. Over the entire period the agreement between TGS-derived and reference CH4 concentrations measured by a high-precision Los Gatos Research instrument was R2 = 0.42, with better results during summer (R2 = 0.65 in summer 2012). Using absolute instead of relative humidity for the correction of the TGS 2600 sensor signals reduced the typical deviation from the reference to less than ±0.1 ppm over the full range of temperatures from −41 °C to 27 °C. At weekly resolution the two sensors showed a downward drift of signal voltages indicating that after 10–13 years a TGS 2600 may have reached its end of life. While the true trend in CH4 concentrations measured by the high-quality reference instrument was 10.1 ppb yr−1 (2012–2018), part of the downward trend in sensor signal (ca. 40–60 %) may be due to the increase in CH4 concentration, because the sensor voltage decreases with increasing CH4 concentration. Weekly median diel cycles tend to agree surprisingly well between the TGS 2600 and reference measurements during the snow-free season, but in winter the agreement is lower. We suggest developing separate functions for deducing CH4 concentrations from TGS 2600 measurements under cold and warm conditions. We conclude that the TGS 2600 sensor can provide data of research-grade quality if it is adequately calibrated and placed in a suitable environment where cross-sensitivities to gases other than CH4 is of no concern.

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Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low-Arctic conditions at Toolik Lake, Alaska

Atmospheric Measurement Techniques ◽

10.5194/amt-13-2681-2020 ◽

2020 ◽

Vol 13 (5) ◽

pp. 2681-2695 ◽

Cited By ~ 1

Author(s):

Werner Eugster ◽

James Laundre ◽

Jon Eugster ◽

George W. Kling

Keyword(s):

Solid State ◽

Mole Fraction ◽

Low Cost ◽

Full Range ◽

Absolute Humidity ◽

Diel Cycles ◽

Arctic Conditions ◽

Sensor Signals ◽

Reference Measurements

Abstract. The TGS 2600 was the first low-cost solid-state sensor that shows a response to ambient levels of CH4 (e.g., range ≈1.8–2.7 µmol mol−1). Here we present an empirical function to correct the TGS 2600 signal for temperature and (absolute) humidity effects and address the long-term reliability of two identical sensors deployed from 2012 to 2018. We assess the performance of the sensors at 30 min resolution and aggregated to weekly medians. Over the entire period the agreement between TGS-derived and reference CH4 mole fractions measured by a high-precision Los Gatos Research instrument was R2=0.42, with better results during summer (R2=0.65 in summer 2012). Using absolute instead of relative humidity for the correction of the TGS 2600 sensor signals reduced the typical deviation from the reference to less than ±0.1 µmol mol−1 over the full range of temperatures from −41 to 27 ∘C. At weekly resolution the two sensors showed a downward drift of signal voltages indicating that after 10–13 years a TGS 2600 may have reached its end of life. While the true trend in CH4 mole fractions measured by the high-quality reference instrument was 10.1 nmolmol-1yr-1 (2012–2018), part of the downward trend in sensor signal (ca. 40 %–60 %) may be due to the increase in CH4 mole fraction because the sensor voltage decreases with increasing CH4 mole fraction. Weekly median diel cycles tend to agree surprisingly well between the TGS 2600 and reference measurements during the snow-free season, but in winter the agreement is lower. We suggest developing separate functions for deducing CH4 mole fractions from TGS 2600 measurements under cold and warm conditions. We conclude that the TGS 2600 sensor can provide data of research-grade quality if it is adequately calibrated and placed in a suitable environment where cross-sensitivities to gases other than CH4 are of no concern.

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Multi-channel impedance analyzer for automated testing of networks and biomaterials

Current Directions in Biomedical Engineering ◽

10.1515/cdbme-2020-3107 ◽

2020 ◽

Vol 6 (3) ◽

pp. 414-417

Author(s):

Wolfram Schmidt ◽

Carsten Tautorat ◽

Klaus-Peter Schmitz ◽

Niels Grabow ◽

Frank Kamke ◽

...

Keyword(s):

Low Cost ◽

Single Frequency ◽

Impedance Analyzer ◽

Biomedical Sensors ◽

Cost System ◽

Reference Measurements ◽

Functional Biomaterials ◽

Multiple Samples

AbstractImpedance spectroscopy represents a basic operating principle for biomedical sensors, bioimpedance spectroscopy, electrochemical analyses and for characterization of functional biomaterials. For automated long-term investigations, an impedance analyzer for multi-channel testing of up to eight passive two-pole networks is presented in this paper. Its operating system is application-specific adapted to the required test functionalities and measuring ranges. Measurements are based on a commercially available integrated impedance converter circuit. Our current analyzer setup is capable of measuring impedance values from 50 kΩ up to 10 MΩ with automated range selection for most accurate results. The impedance under test is excited with a single frequency of 1 kHz. An impedance accuracy of 1.5 % was determined in reference measurements. The presented impedance analyzer is a low cost system ready for use particularly in long-term characterization of dielectric networks, such as material properties, with multiple samples.

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Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

10.1002/essoar.10500022.5 ◽

2019 ◽

Cited By ~ 1

Author(s):

Carl Malings ◽

Rebecca Tanzer ◽

Aliaksei Hauryliuk ◽

Provat K. Saha ◽

Allen L. Robinson ◽

...

Keyword(s):

Performance Evaluation ◽

Fine Particle ◽

Low Cost ◽

Particle Mass ◽

Long Term Performance ◽

Term Performance

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Control Cloud Data Access Privilge Anonymity with Attributed Based Encryption

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.68 ◽

2017 ◽

Vol 7 (8) ◽

pp. 279

Author(s):

P. Sudheer ◽

T. Lakshmi Surekha

Keyword(s):

Data Privacy ◽

Low Cost ◽

Data Access ◽

Privacy Concerns ◽

Cloud Data ◽

Computing Paradigm ◽

Attribute Based Encryption ◽

Data Content ◽

Identity Privacy ◽

Cloud Servers

Cloud computing is a revolutionary computing paradigm, which enables flexible, on-demand, and low-cost usage of computing resources, but the data is outsourced to some cloud servers, and various privacy concerns emerge from it. Various schemes based on the attribute-based encryption have been to secure the cloud storage. Data content privacy. A semi anonymous privilege control scheme AnonyControl to address not only the data privacy. But also the user identity privacy. AnonyControl decentralizes the central authority to limit the identity leakage and thus achieves semi anonymity. The Anonymity –F which fully prevent the identity leakage and achieve the full anonymity.

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Research for a sustainable European sugar sector

Sugar Industry ◽

10.36961/si10151 ◽

2010 ◽

pp. 487-495

Author(s):

Martin Bruhns ◽

Peter Glaviè ◽

Arne Sloth Jensen ◽

Michael Narodoslawsky ◽

Giorgio Pezzi ◽

...

Keyword(s):

Sugar Industry ◽

Research Priorities ◽

Decision Makers ◽

Sustainable Chemistry ◽

Technology Platforms ◽

Research Themes ◽

Starting Point ◽

Manufacturing Applications ◽

European Technology

The paper is based on the results of international project entitled “Towards Sustainable Sugar Industry in Europe (TOSSIE)”. 33 research topics of major importance to the sugar sector are listed and briefly described, and compared with research priorities of the European Technology Platforms: “Food for Life”, “Sustainable Chemistry”, “Biofuels”, and “Plant for the Future”. Most topics are compatible with the research themes included in the COOPERATION part of the 7th Framework Program of the EU (2007-2013). However, some topics may require long-term R&D with the time horizon of up to 15 years. The list of topics is divided into four parts: Sugar manufacturing, Applications of biotechnology and biorefinery processing, Sugarbeet breeding and growing, Horizontal issues. Apart from possible use of the list by policy- and decision makers with an interest in sugarbeet sector, the description of each research topic can be used as a starting point in setting up a research project or other R&D activities.

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Wittichenite semiconductor of Cu3BiS3 films for efficient hydrogen evolution from solar driven photoelectrochemical water splitting

Nature Communications ◽

10.1038/s41467-021-24060-5 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Dingwang Huang ◽

Lintao Li ◽

Kang Wang ◽

Yan Li ◽

Kuang Feng ◽

...

Keyword(s):

Hydrogen Evolution ◽

Water Splitting ◽

Low Cost ◽

Solar Hydrogen ◽

Onset Potential ◽

Term Stability ◽

Long Term Stability ◽

Solar Water Splitting ◽

Current Densities

AbstractA highly efficient, low-cost and environmentally friendly photocathode with long-term stability is the goal of practical solar hydrogen evolution applications. Here, we found that the Cu3BiS3 film-based photocathode meets the abovementioned requirements. The Cu3BiS3-based photocathode presents a remarkable onset potential over 0.9 VRHE with excellent photoelectrochemical current densities (~7 mA/cm2 under 0 VRHE) and appreciable 10-hour long-term stability in neutral water solutions. This high onset potential of the Cu3BiS3-based photocathode directly results in a good unbiased operating photocurrent of ~1.6 mA/cm2 assisted by the BiVO4 photoanode. A tandem device of Cu3BiS3-BiVO4 with an unbiased solar-to-hydrogen conversion efficiency of 2.04% is presented. This tandem device also presents high stability over 20 hours. Ultimately, a 5 × 5 cm2 large Cu3BiS3-BiVO4 tandem device module is fabricated for standalone overall solar water splitting with a long-term stability of 60 hours.

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