Moisture

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Moisture refers to the presence of a liquid, especially water, often in trace amounts. (Wikipedia.org)






Conferences related to Moisture

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 IEEE 70th Electronic Components and Technology Conference (ECTC)

ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.


2020 IEEE IAS Petroleum and Chemical Industry Committee (PCIC)

The PCIC provides an international forum for the exchange of electrical applications technology related to the petroleum and chemical industry. The PCIC annual conference is rotated across North American locations of industry strength to attract national and international participation. User, manufacturer, consultant, and contractor participation is encouraged to strengthen the conference technical base. Success of the PCIC is built upon high quality papers, individual recognition, valued standards activities, mentoring, tutorials, networking and conference sites that appeal to all.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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Periodicals related to Moisture

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Advanced Packaging, IEEE Transactions on

The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Components and Packaging Technologies, IEEE Transactions on

Component parts, hybrid microelectronics, materials, packaging techniques, and manufacturing technology.


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Most published Xplore authors for Moisture

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Xplore Articles related to Moisture

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Estimating root zone soil moisture from AMSR2 remotely sensed surface soil moisture data

2018 3rd International Conference on Microwave and Photonics (ICMAP), 2018

Significance of root zone soil moisture can be observed in agricultural practices and meteorological phenomenon and estimation of the same become vital. There is always a correlation between surface and root zone soil moisture and thus a relationship between satellite soil moisture, ground measured soil moisture and modelled soil moisture is investigated here. An R<sup>2</sup> of ~0.5 and ~0.73 is ...


Monitoring moisture of soil using low cost homemade Soil moisture sensor and Arduino UNO

2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS), 2016

Persistent increase in population of world is demanding more and more supply of food. Hence there is a significant need of advancement in cultivation to meet up the future food needs. It is important to know moisture levels in soil to maximize the output. But most of farmers cannot afford high cost devices to measure soil moisture. Our research work ...


Evaluation of assimilated SMOS Soil Moisture data for US cropland Soil Moisture monitoring

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016

Remotely sensed soil moisture data can provide timely, objective and quantitative crop soil moisture information with broad geospatial coverage and sufficiently high resolution observations collected throughout the growing season. This paper evaluates the feasibility of using the assimilated ESA Soil Moisture Ocean Salinity (SMOS) Mission L-band passive microwave data for operational US cropland soil surface moisture monitoring. The assimilated SMOS ...


A new fast moisture sensitivity analysis method using equal moisture distribution simulation

2014 15th International Conference on Electronic Packaging Technology, 2014

MSLA, the abbreviation of Moisture Sensitivity Level Analysis, is the meaning of moisture sensitivity level analysis. MSLA is to give the proposed package moisture sensitivity of surface mount components provide a standard of classification, so that different types of components to get the correct packaging, storage and handling to avoid moisture resulted failures in the assembly or repair process. But ...


Error Analysis of High-moisture Maize Moisture Measurement with PM-8188 Grain Moisture Tester

2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control, 2011

PM-8188 type capacitance grain moisture tester was used to detect the moisture of twenty-four maize hybrids in the period of harvest time and the period when the grain were naturally fully dehydrated, the results were compared with the results of grain weight change, and the changes of measurement errors in high moisture levels were discussed briefly. The results showed that ...


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Educational Resources on Moisture

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IEEE-USA E-Books

  • Estimating root zone soil moisture from AMSR2 remotely sensed surface soil moisture data

    Significance of root zone soil moisture can be observed in agricultural practices and meteorological phenomenon and estimation of the same become vital. There is always a correlation between surface and root zone soil moisture and thus a relationship between satellite soil moisture, ground measured soil moisture and modelled soil moisture is investigated here. An R<sup>2</sup> of ~0.5 and ~0.73 is noted between the Soil Water Index (SWI), derived from AMSR2 data, ground data and GLDAS-NOAH modelled soil moisture data. The analysis is performed for IIT Kanpur for the year 2013.

  • Monitoring moisture of soil using low cost homemade Soil moisture sensor and Arduino UNO

    Persistent increase in population of world is demanding more and more supply of food. Hence there is a significant need of advancement in cultivation to meet up the future food needs. It is important to know moisture levels in soil to maximize the output. But most of farmers cannot afford high cost devices to measure soil moisture. Our research work in this paper focuses on home-made low cost moisture sensor with accuracy. In this paper we present a method to manufacture soil moisture sensor to estimate moisture content in soil hence by providing information about required water supply for good cultivation. This sensor is tested with several samples of soil and able to meet considerable accuracy. Measuring soil moisture is an effective way to determine condition of soil and get information about the quantity of water that need to be supplied for cultivation. Two separate methods are illustrated in this paper to determine soil moisture over an area and along the depth.

  • Evaluation of assimilated SMOS Soil Moisture data for US cropland Soil Moisture monitoring

    Remotely sensed soil moisture data can provide timely, objective and quantitative crop soil moisture information with broad geospatial coverage and sufficiently high resolution observations collected throughout the growing season. This paper evaluates the feasibility of using the assimilated ESA Soil Moisture Ocean Salinity (SMOS) Mission L-band passive microwave data for operational US cropland soil surface moisture monitoring. The assimilated SMOS soil moisture data are first categorized to match with the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) survey-based weekly soil moisture observation data, which are ordinal. The categorized assimilated SMOS soil moisture data are compared with NASS's survey-based weekly soil moisture data for consistency and robustness using visual assessment and rank correlation. Preliminary results indicate that the assimilated SMOS soil moisture data highly co-vary with NASS field observations across a large geographic area. Therefore, SMOS data have great potential for US operational cropland soil moisture monitoring.

  • A new fast moisture sensitivity analysis method using equal moisture distribution simulation

    MSLA, the abbreviation of Moisture Sensitivity Level Analysis, is the meaning of moisture sensitivity level analysis. MSLA is to give the proposed package moisture sensitivity of surface mount components provide a standard of classification, so that different types of components to get the correct packaging, storage and handling to avoid moisture resulted failures in the assembly or repair process. But traditional moisture sensitivity level characterizations take long time even the fast level 1, 85°C/85%RH conditioning needs 168 hours. The purpose of the paper is introducing a fast moisture diffusion method using high temperature and high relative humidity to increase moisture diffusion speed by numerical simulation, which will assist the moisture diffusion time.

  • Error Analysis of High-moisture Maize Moisture Measurement with PM-8188 Grain Moisture Tester

    PM-8188 type capacitance grain moisture tester was used to detect the moisture of twenty-four maize hybrids in the period of harvest time and the period when the grain were naturally fully dehydrated, the results were compared with the results of grain weight change, and the changes of measurement errors in high moisture levels were discussed briefly. The results showed that the measurement error reached its minimum by the measured value of 26.2. The measured value was larger than the true value when below 26.2, but smaller when exceeded. And the measurement error increased with the deviation from 26.2.

  • Soil Moisture Estimation Using Cosmic-Ray Soil Moisture Sensing at Heterogeneous Farmland

    The Cosmic-ray Soil Moisture Observing System is a promising soil moisture measurement network. It can measure soil moisture at an intermediate spatial scale with a single sensor. In this letter, the measured cosmic-ray neutron counts during the Heihe Watershed Allied Telemetry Experimental Research were used to evaluate the capabilities of the cosmic-ray probe in soil moisture retrieval at a heterogeneous farmland. The Cosmic-ray Soil Moisture Interaction Code model was utilized to model the interaction between the measured neutron counts and the soil water content. Soil moisture at the footprint scale of the cosmic-ray probe obtained using a wireless sensor network (SoilNET) was used as the calibration and validation data. The results show that the cosmic-ray probe is capable of monitoring the hourly heterogeneous soil moisture dynamics at the intermediate spatial scale in a noninvasive way. Moreover, the informative measurement depth of the cosmic-ray probe can also be derived and is consistent with the soil moisture results.

  • Method for upscaling in-situ soil moisture measurements for calibration and validation of smap soil moisture products

    In order to provide a reliable source of ground-based validation data for the SMAP mission at spatial scales of 3 km, 9 km and 36 km, we have developed a new regression-based method capable of yielding highly-accurate upscaled soil moisture estimates based on sparse, irregularly-spaced soil moisture measurements.

  • On the Disaggregation of Passive Microwave Soil Moisture Data Using A Priori Knowledge of Temporally Persistent Soil Moisture Fields

    Water and energy fluxes at the interface between the land surface and atmosphere are affected by the surface water content of the soil, which is highly variable in space and time. The sensitivity of active and passive microwave remote sensing data to surface soil moisture content has been investigated in numerous studies. Recent satellite mission concepts as, for example, the soil moisture and ocean salinity (SMOS) mission, are dedicated to provide global soil moisture information with a temporal frequency of a few days to capture the high temporal dynamics of surface soil moisture. SMOS soil moisture products are expected to have geometric resolutions on the order of 40 km. Mesoscale flood forecasting or water balance models typically operate at much higher spatial resolutions on the order of 1 km. It seems therefore essential to develop appropriate disaggregation schemes to benefit from the high temporal frequency of the SMOS data for hydrological applications as well as, for example, local numerical weather prediction models that are operated at a resolution of a few kilometers. This paper investigates the potential of using prior information on spatially persistent soil moisture fields to disaggregate SMOS scale soil moisture products. The approach is based on a ten-year soil moisture climatology for a mesoscale hydrological catchment, situated in southern Germany, which was generated using a state-of-the-art land-surface process model. The performance of the disaggregation algorithm is verified by comparison of disaggregated soil moisture fields with another ten- year period. To investigate the potential of the suggested disaggregation method for SMOS soil moisture products, a ten-year synthetic brightness temperature data set is generated at the 1-km scale. soil moisture is then retrieved from the aggregated brightness temperature data at the SMOS type scale of 40 km and then disaggregated using the suggested approach. The results are compared against reference soil moisture at the 1-km scale. Uncertainties in the retrieval of the SMOS soil moisture products are explicitly considered, and the uncertainties of the disaggregated fields are quantified. The developed method shows a generally good performance for large parts of the test site, where soil moisture can be disaggregated with an accuracy that is better than the 4 vol.% benchmark of the SMOS mission. As the suggested method shows high sensitivity to biased soil moisture retrievals, uncertainties of the SMOS soil moisture products will directly reflect on the absolute accuracy of the disaggregated soil moisture fields, resulting in a much worse performance under noisy conditions. Nevertheless, the resulting soil moisture distributions show that it is feasible to derive relative soil moisture distributions in these cases.

  • SMAP DATA for cropland soil moisture assessment — A case study

    Timely, frequent, and complete cropland soil moisture information, acquired throughout the growing season is critical for agricultural policy, production, food security, and food prices. The NASA Soil Moisture Active and Passive (SMAP) mission provides a reliable data source for cropland soil moisture assessment. This paper presents a case study of using SMAP soil moisture data products for agriculture land soil moisture assessment. A prototype application of interactive Web service based SMAP soil moisture data visualization, dissemination and analytics based on VegScape is used. In the study, we propose to temporally aggregate SMAP data for a better crop soil moisture assessment. The case study assesses Iowa's soil moisture status using SMAP data and compares it with the NOAA precipitation record and NASS published soil moisture survey results for a late September period in Iowa. The high correlation between the SMAP and NOAA observations is found. Moreover, we find that the SMAP results are generally consistent with NASS published survey results. The preliminary results of the study indicate the SMAP data have great potential for agricultural soil moisture assessment applications.

  • Analysis on Moisture Stress in Building Walls of Porous Media

    According to the characteristic of moisture expansion in porous media, action mechanism and influencing factors of moisture stress in building walls were analyzed and moisture expansion experiments were carried on commonly used porous media such as tiles and cement mortar. The results and analysis of the experiments indicate that: The moisture content and gradient inside the wall are affected by thermal and moisture environment. The physical parameters of the material layers such as elastic modulus, moisture transfer rate, coefficient of moisture expansion are different and in this case moisture stress will occur due to restraint among material layers when moisture content changes. In a certain layer, even if physical parameters are the same, the restrained bending deflection caused by moisture gradient would generate moisture stress in the material. Under the thermal and moisture environment, variations of moisture content moisture gradient and variation of moisture stress on the surface of the wall is larger than that of the inside. Thus the surface of the building wall is the part more likely to be damaged by moisture stress.



Standards related to Moisture

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IEEE Guide for Gas-Insulated Substations

This guide provides information of special relevance to the planning, design, testing, installation, operation and maintenance of gas-insulated substations(GIS) and equipment. This guide is intended to supplement IEEE Std C37-122- 1993(R2002). In general, this guide is applicable to all GIS above 52 kV. However the importance of the topics covered varies with application category. For example, issues related to advanced ...


IEEE Guide for Moisture Measurement and Control in SF6 Gas-Insulated Equipment


IEEE Guide for Specifying and Selecting Power, Control, and Special-Purpose Cable for Petroleum and Chemical Plants

The scope of this project has been expanded to no only cover power and control cables (per original PAR) but many types of special purpose cables used in the petroleum and chemical industry. This Guide provides the user information on cable standards, specifications, applications, installations, testing and areas of interest on cable pertaining to the petrochemical industry. Special purpose cables ...



Jobs related to Moisture

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