Literatura académica sobre el tema "Humidity Calibrator"
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Artículos de revistas sobre el tema "Humidity Calibrator"
Athavale, Vijay Anant, Abhilash Pati, A. K. M. Bellal Hossain y Sari Luthfiyah. "INCU Analyzer for Infant Incubator Based on Android Application Using Bluetooth Communication to Improve Calibration Monitoring". Jurnal Teknokes 15, n.º 1 (16 de marzo de 2022): 1–8. http://dx.doi.org/10.35882/teknokes.v15i1.1.
Texto completoAzkiyak, Vina Nadhirotul, Syaifudin Syaifudin y Dyah Titisari. "Incubator Analyzer Using Bluetooth Android Display (Humidity & Air Flow)". Indonesian Journal of electronics, electromedical engineering, and medical informatics 1, n.º 2 (5 de febrero de 2020): 71–77. http://dx.doi.org/10.35882/ijeeemi.v1i2.5.
Texto completoBirks, John W., Andrew A. Turnipseed, Peter C. Andersen, Craig J. Williford, Stanley Strunk, Brian Carpenter y Christine A. Ennis. "Portable calibrator for NO based on the photolysis of N<sub>2</sub>O and a combined NO<sub>2</sub>∕NO∕O<sub>3</sub> source for field calibrations of air pollution monitors". Atmospheric Measurement Techniques 13, n.º 2 (3 de marzo de 2020): 1001–18. http://dx.doi.org/10.5194/amt-13-1001-2020.
Texto completoBirks, John W., Craig J. Williford, Peter C. Andersen, Andrew A. Turnipseed, Stanley Strunk y Christine A. Ennis. "Portable ozone calibration source independent of changes in temperature, pressure and humidity for research and regulatory applications". Atmospheric Measurement Techniques 11, n.º 8 (16 de agosto de 2018): 4797–807. http://dx.doi.org/10.5194/amt-11-4797-2018.
Texto completoWati, Erna Kusuma, Fitria Hidyanti y Novi Azman. "DESIGN OF THE POLLUTION GAS CARBON MONOXIDE (CO) MONITORING SYSTEM BASED ON MICROCONTROLLER". Spektra: Jurnal Fisika dan Aplikasinya 5, n.º 1 (30 de abril de 2020): 1–10. http://dx.doi.org/10.21009/spektra.051.01.
Texto completoNovais, Jonathan Willian Zangeski, Ana Cristina Hillesheim, Naiara Cristina Fank, Louyse Siqueira Varella Oliveira, Naara Soares dos Santos Brito, Dahiane Dos Santos Oliveira Zangeski y Bárbara Bella Pereira de Oliveira. "Técnica de Calibração de Sensores Meteorológicos de Temperatura e Umidade Relativa do ar Utilizando um Sensor de Referência". UNICIÊNCIAS 24, n.º 1 (11 de febrero de 2021): 30–33. http://dx.doi.org/10.17921/1415-5141.2020v24n1p30-33.
Texto completoMarno, Daniel, Cheryl Ernest, Korbinian Hens, Umar Javed, Thomas Klimach, Monica Martinez, Markus Rudolf, Jos Lelieveld y Hartwig Harder. "Calibration of an airborne HO<sub><i>x</i></sub> instrument using the All Pressure Altitude-based Calibrator for HO<sub><i>x</i></sub> Experimentation (APACHE)". Atmospheric Measurement Techniques 13, n.º 5 (27 de mayo de 2020): 2711–31. http://dx.doi.org/10.5194/amt-13-2711-2020.
Texto completoMilosevic, Nenad, Nenad Stepanic y Marijana Babic. "A relative humidity calibration from 5°C to 45°C in a mixed-flow humidity generator". Thermal Science 16, n.º 1 (2012): 193–205. http://dx.doi.org/10.2298/tsci1201193m.
Texto completoLadino, Karla S., Michael P. Sama y Victoria L. Stanton. "Development and Calibration of Pressure-Temperature-Humidity (PTH) Probes for Distributed Atmospheric Monitoring Using Unmanned Aircraft Systems". Sensors 22, n.º 9 (24 de abril de 2022): 3261. http://dx.doi.org/10.3390/s22093261.
Texto completoLadino, Karla S., Michael P. Sama y Victoria L. Stanton. "Development and Calibration of Pressure-Temperature-Humidity (PTH) Probes for Distributed Atmospheric Monitoring Using Unmanned Aircraft Systems". Sensors 22, n.º 9 (24 de abril de 2022): 3261. http://dx.doi.org/10.3390/s22093261.
Texto completoTesis sobre el tema "Humidity Calibrator"
TABANDEH, SHAHIN. "Advances in Humidity Standards". Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2745353.
Texto completoTong, Jingbo. "MEASUREMENT AND MODELING OF HUMIDITY SENSORS". UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/59.
Texto completoLIMA, LUIZ ALBERTO DOS SANTOS. "CRITICAL ANALYSIS FOR DIFFERENT AVAILABLE METHODOLOGIES FOR HUMIDITY MEASUREMENT TO BE USED BY A CALIBRATION LABORATORY". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5705@1.
Texto completoRecently, the need of humidity measurement and control has been shown to be of growing interest, especially in processes like pharmaceuticals, biotechnology, automotives, as well as in air conditioning installations. Increasing the number of laboratories, which are traceable to the Brazilian Calibration Network, is a requirement for attending the industry demands, besides contributing towards improving the measurement uncertainty level. This work has as an objective to critically analyze different methods for humidity measurement, to be used by calibration laboratories. The mostly used expressions for calculating vapor partial pressure were evaluated, aiming humidity determination in comparison with Sonntag´s one, the most accepted formulation by the international metrological community. Also, a comparison was made between different softwares, which were available through internet, for calculating the most important humidity parameters, in comparison with results obtained by the same formulation. Among several factors, the dry air and water vapor mixture properties were calculated, considering it as an ideal or a real one, as well as the effect air composition changes on humidity measurement. The contribution of several sources of errors on the combined uncertainty of humidity measurement was examined, following the methodology that uses the dew point as a starting measurement parameter. Finally, the objective of this work is to present the humidity calibration laboratories a critical analysis of the available methodologies for measuring humidity, together with the achieved uncertainties.
Parkin, John D. "Microcantilevers : calibration of their spring constants and use as ultrasensitive probes of adsorbed mass". Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/3608.
Texto completoFALLEIROS, MARCOS de C. "Medida da umidade do solo com sonda de neutrons". reponame:Repositório Institucional do IPEN, 1994. http://repositorio.ipen.br:8080/xmlui/handle/123456789/10363.
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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP
Krejčí, Jakub. "Snímač kondenzované vlhkosti". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316392.
Texto completoSoncela, Rosimaldo. "Técnica da TDR na estimativa da umidade e condutividade elétrica de solo irrigado com água residuária da suinocultura". Universidade Estadual do Oeste do Parana, 2010. http://tede.unioeste.br:8080/tede/handle/tede/311.
Texto completoThe swine waste water (SWW) application in soil has become an alternative fertilizer for soil and used as a water reuse. However, special attention must be given to the amount of salt content in such water since succeeding applications can stimulate the saltishness process on soil, which can ask for an indispensable monitoring of salt content in soil. The time-domain reflectometry (TDR) allows for a continuous and simultaneous monitoring of water content and apparent electric conductivity on soil (AEC), in order to make feasible the indirect determination of electric conductivity of soil solution, which can estimate salt content in the soil. Nevertheless, there is a need to obtain and calibrate a model for each type of soil. Thus, this trial aimed at obtaining a volumetric humidity calibration model for a typical Distroferric Red Latosol, as well as studying this technique viability to indirectly determine the electrical conductivity in a soil solution using an empiric equation for the TDR Trase 6050X1 devise. Calibration was performed under laboratory conditions, with deformed samples of the studied soil, conditioned in columns, with a 0.0078 m3 volume. TDR hand-made probes, with three 0.20m-long shafts, were vertically installed in the soil columns, five probes per column, totaling 16 columns. The weighing answers were obtained by digital scales and daily readings with the TDR equipment. To indirectly determine soil solution electric conductivity, deformed and saturated samples were used and saturated with SWW at 0, 10, 20, 40, 60, and 80 liters with a soil volume of 0.0225 m3. The SWW was evaporated so that saturated soil got completely dry and sieved in a 2 mm sieve to obtain the air dried fine soil (ADFS). The volumes of dried soils were conditioned in three columns to characterize T0, T1, T2, T3, T4 and T5 treatments. The same procedure was carried out for probes calibration. At that moment, four probes were installed by column, totaling 18 columns. The empirical model to estimate the volumetric soil humidity under study showed an adequate degree of determination. At last, It was possible to establish an empirical model that connected AEC recorded by the TDR equipment and electrical conductivity of saturated soil sample (ECss), making possible the use of this technique on soil salinity estimation.
A aplicação de águas residuárias de suinocultura (ARS) no solo vem sendo uma alternativa como forma de adubação e reúso de água. Entretanto, atenção especial deve ser dada à quantidade de sais contidos nessas águas, uma vez que aplicações sucessivas podem favorecer o processo de salinização do solo, tornando-se necessário um monitoramento do teor de sais no solo. A reflectometria no domínio do tempo (TDR) possibilita o monitoramento simultâneo e contínuo do teor de água e da condutividade elétrica aparente do solo (CEa) a fim de viabilizar a determinação indireta da condutividade elétrica da solução do solo, a qual possibilita a estimativa do teor de sais no solo. Porém, há necessidade de obtenção e calibração de um modelo para cada tipo de solo. Desta forma, o objetivo deste trabalho foi obter um modelo de calibração de umidade volumétrica para um Latossolo Vermelho Distroférrico Típico, bem como estudar a viabilidade da técnica na determinação indireta da condutividade elétrica da solução do solo por meio de uma equação empírica para o equipamento TDR Trase 6050X1. A calibração foi realizada em condições de laboratório, utilizando amostras deformadas do solo em estudo, acondicionadas em colunas com volume de 0,0078 m3. As sondas fabricadas artesanalmente da TDR com três hastes e 0,20 m de comprimento foram instaladas verticalmente nas colunas de solo, em um total de cinco sondas por coluna, totalizando 16 colunas. Realizaram-se as pesagens com balança digital e leituras diárias com o equipamento TDR. Para a determinação indireta da condutividade elétrica da solução do solo, foram utilizadas amostras deformadas, as quais foram saturadas com ARS nas taxas de 0, 10, 20, 40, 60 e 80 litros por um volume de 0,0225 m3 de solo. Deixou-se que a ARS evaporasse até que o solo saturado secasse totalmente, peneirado em peneira de 2 mm para formar Terra Fina Seca ao Ar (TFSA). Os volumes de solos secos foram acondicionados em três colunas, caracterizando-se os tratamentos T0, T1, T2, T3, T4 e T5. O mesmo processo ocorreu para a calibração das sondas. Nesta etapa, foram instaladas quatro sondas por coluna totalizando 18 colunas. O modelo empírico para estimativa da umidade volumétrica do solo em estudo apresentou suficiente grau de determinação. Foi possível estabelecer um modelo empírico que relacionou a condutividade elétrica aparente do solo (CETDR) e a condutividade elétrica do extrato saturado do solo (CEes) para viabilizar o uso da técnica na estimativa da salinidade do solo.
Valdés, Roilan Hernández. "CALIBRAÇÃO DO MODELO SIB2 PARA O CERRADO NO SUDESTE DO BRASIL". Universidade Federal de Santa Maria, 2016. http://repositorio.ufsm.br/handle/1/10292.
Texto completoThe land surface models (LSM) are the component of the numerical weather prediction and climate models that represents the processes of interaction between the biosphere and atmosphere. The need to improve the representation of bio-geophysical process stimulated the development of sophisticated parametrization. This development increased the complexity of LSMs and the number of parameters involved. Some of these parameters can be measured, but it does not ensure that the best results will be produced. Therefore, a general strategy is to use field experiments (local) to calibrate these parameters for different vegetation types, minimizing the differences between the simulated and observed value(s) of variable(s) of interest. LSMs are usually calibrated using observation of the sensible (H) and latent (LE) heat flux . Studies including soil moisture (�) in the calibration are less frequent (or restricted to the surface layer), but in forest ecosystems, under seasonal water stress, vertical soil moisture profile in vadose zone is essential for simulating transpiration, CO2 assimilation and the partition between the surface and underground flows. This paper describes the calibration of the Simple Biosphere Model (SiB2) for the Cerrado sensu-stricto, using flux measurements, soil moisture and atmospheric forcings collected in a micrometeorological tower located in Gleba Pé de Gigante, SP, in the period July 2009 to July 2012. For calibration, the SiB2 model was separated into modules that included the radiative, aerodynamic and finally, soil water processes and conductance and photosynthesis. The multi-objective calibration algorithm AMALGAM was applied to each of these modules using as objective functions: the mean square error (RMSE), Nash-Sutcliffe efficiency (NSE), the error of amplitude of the mean cycle annual (ACAM) or hourly (ACH). The calibrated variables were: albedo PAR (�PAR), global albedo (�), friction velocity (u�), net radiation (Rn), latent and sensible heat flux and total water storage (Az) up to two meters deep. Nonetheless, the modular calibration was compared with a global calibration in which only variables LE, H and Az were optimized. The calibration for radiative module allowed to reproduce the seasonal cycle and amplitude for albedo PAR, while the global albedo was lagged temporally and a slightly smaller amplitude than the observation but had considerable improvement compared with that simulated with the original parameters. The balance of radiation was reasonably simulated, with overestimation in winter and spring and it proved to be fundamentally sensitive to downward longwave radiation. The u� was slightly underestimated in the average daily cycle against to observed but had less error than the original parameters. On the other hand, the model discretization in three soil layers failed to represent the hydrological processes in the soil and surface simultaneously for Cerrado. Therefore, the soil structure was changed by introducing vertical root distribution profile, the process of hydraulic redistribution and updating the Green-Ampt infiltration scheme. These schemes were essential to the modeling of hydrologic processes of Cerrado vegetation, which is applicable to other deep root system. The global calibration fairly represented LE, H and Az, but resulted in �PAR anti-correlated, considerable underestimation of the � and u�, also in inconsistent partition for evapotranspiration components.
Os modelos da superfície terrestre (LSMs) são a componente dos modelos numéricos de previsão numérica do tempo e clima que representam os processos de interação entre a biosfera e atmosfera. A necessidade de aperfeiçoar a representação dos processos biogeofísicos estimulou o desenvolvimento de sofisticadas parametrizações, aumentando a complexidade dos LSMs e o número de parâmetros. Alguns desses parâmetros podem ser medidos, mas isso não assegura que melhores resultados serão produzidos devido a erros de amostragem e representatividade das condições experimentais (variabilidade espacial, vertical e a heterogeneidade de superfície). Portanto, uma estratégia geral é usar experimentos de campo (locais) para calibrar esses parâmetros para diferentes tipos de vegetação, minimizando as diferenças entre os valores simulados e observados da(s) variável( is) de interesse. LSMs são geralmente calibrados usando observações dos fluxos de calor sensível (H) e latente (LE). Enquanto estudos que incluam a umidade do solo (�) na calibração são menos frequentes (ou restritos a camada superficial do solo), mas em ecossistemas florestais sujeitos a estresse hídrico sazonal (zona radicular profunda, heterogeneidade vertical) o perfil vertical da umidade do solo na zona vadosa é essencial para simulação da transpiração, assimilação de CO2 e a partição entre os escoamentos superficial e subterrâneo. Esta dissertação descreve a calibração do modelo Simples da Biosfera (SiB2) para o Cerrado sensu-stricto, utilizando medidas de fluxos, umidade do solo e forçantes atmosféricas coletadas em uma torre micrometeorológica localizada na Gleba Pé de Gigante, SP, no período de Julho de 2009 até Julho de 2012. Para a calibração, o modelo SiB2 foi separado em módulos que incluíram os processos radiativos, aerodinâmicos e por último os processos hídricos e de condutância e fotossínteses. O algoritmo de calibração multiobjetivo AMALGAM foi aplicado a cada um desses módulos utilizando nas funções objetivo a raiz do erro quadrático médio (RMSE), eficiência de Nash-Sutcliffe (NSE), erro da amplitude do ciclo médio anual (ACAM) ou horário (ACH). As variáveis calibradas foram: albedo PAR (�PAR), albedo global (�), velocidade de fricção (u�), saldo de radiação (Rn), fluxo de calor latente e sensível e armazenamento total de água (Az) até dois metros de profundidade. No entanto, a calibração por módulos foi comparada com uma calibração global na qual somente foram otimizadas as variáveis LE, H e Az. A calibração do módulo radiativo permitiu reproduzir o ciclo sazonal e amplitude do albedo PAR, enquanto o albedo global ficou defasado temporalmente e com amplitude levemente menor que a observação, porém teve razoável melhora quando comparado com o simulado com os parâmetros originais. O saldo de radiação foi razoavelmente simulado, apresentando superestimativa no inverno e primavera e mostrou-se sensível fundamentalmente à parametrização de radiação de onda longa incidente. Enquanto a u� subestimou levemente o ciclo médio diário observado mas teve erro menor que a configuração original. Por outro lado, a discretização de três camadas do solo do modelo não conseguiu representar os processos hidrológicos no solo e superfície simultaneamente do Cerrado. Mudou-se, portanto, a estrutura de solo, introduzindo o perfil vertical de distribuição de raízes, o processo de redistribuição hidráulica e a atualização do esquema de infiltração Green-Ampt. Estes esquemas foram fundamentais para a modelagem dos processos hidrológicos da vegetação Cerrado, o que é aplicável a outras de sistema radicular profundo. A calibração global representou razoavelmente LE, H e Az, porém resultou em �PAR anti-correlacionado, subestimativa considerável do � e u�, além de partição inconsistente nas componentes da evapotranspiração.
Horká, Lucie. "Optimalizace spotřeb energie v administrativní budově". Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2015. http://www.nusl.cz/ntk/nusl-227235.
Texto completoPatrick, Nathan A. "Evaluating Near Surface Lapse Rates Over Complex Terrain Using an Embedded Micro-Logger Sensor Network in Great Basin National Park". The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1403203851.
Texto completoLibros sobre el tema "Humidity Calibrator"
Mo, Tsan. Microwave humidity sounder calibration algorithm. Washington, DC: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 2004.
Buscar texto completoMo, Tsan. Microwave humidity sounder calibration algorithm. Washington, DC: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 2004.
Buscar texto completoMo, Tsan. Microwave humidity sounder calibration algorithm. Washington, DC: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 2004.
Buscar texto completoPayne, Richard E. Calibration history of some Rotronic MP-100 and Vaisala Humicap relative humidity sensors. Woods Hole, Mass: Upper Ocean Processes Group, Woods Hole Oceanographic Institution, 1994.
Buscar texto completoJ, Lake Brian, Pacific Marine Environmental Laboratory (U.S.) y University of Washington. Joint Institute for the Study of the Atmosphere and Ocean, eds. Calibration procedures and instrumental accuracy estimates of ATLAS air temperature and relative humidity measurements. Seattle, Wash: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Pacific Marine Environmental Laboratory, 2003.
Buscar texto completoPacific Marine Environmental Laboratory (U.S.), ed. Calibration procedures and instrumental accuracy estimates of tao temperature, relative humidity and radiation measurements. Seattle, Wash: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Pacific Marine Environmental Laboratory, 1994.
Buscar texto completoCapítulos de libros sobre el tema "Humidity Calibrator"
Korotcenkov, Ghenadii. "Humidity-Sensor Testing and Calibration". En Handbook of Humidity Measurement, 429–44. Boca Raton : CRC Press, Taylor & Francis Group, 2018-[2020]: CRC Press, 2020. http://dx.doi.org/10.1201/9781351056502-29.
Texto completoManzoni, Marco. "Fast and Robust Estimation of Atmospheric Phase Screens Using C-Band Spaceborne SAR and GNSS Calibration". En Special Topics in Information Technology, 131–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_11.
Texto completoElkhayat, Moataz, Stefano Mangiarotti, Marco Grassi y Piero Malcovati. "Closed-Loop Temperature Control CMOS Integrated Circuit for Diagnostics and Self-calibration of Capacitive Humidity Sensors". En Lecture Notes in Electrical Engineering, 489–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04324-7_59.
Texto completoChen, Mo, Hanbing Chen, Ruishu Liu y Guanhua Wang. "Response of Sodium Chloride Migration in Sandy Soil to Changing Medium Conditions in Black Soil Region of Northeast China". En Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220962.
Texto completoBrock, Fred V. y Scott J. Richardson. "Dynamic Performance Characteristics, Part 1". En Meteorological Measurement Systems. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195134513.003.0008.
Texto completoMota, Bárbara, Joana G. Freire, Mariana Oliveira, Sílvia A. Nunes, Rui Dilão y Carlos C. DaCamara. "Using cellular automata to assess the role played by wind direction in two large fire episodes in Portugal". En Advances in Forest Fire Research 2022, 431–35. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_69.
Texto completoActas de conferencias sobre el tema "Humidity Calibrator"
FENOTTI, Fulvio y David VASTY. "Humidity Calibration Automation". En 19th International Congress of Metrology (CIM2019), editado por Sandrine Gazal. Les Ulis, France: EDP Sciences, 2019. http://dx.doi.org/10.1051/metrology/201918003.
Texto completoLin, Chi-Hsuan y Wei-Hong Hsu. "Application of the Taguchi Method to Dew-point Meter Calibration". En NCSL International Workshop & Symposium. NCSL International, 2020. http://dx.doi.org/10.51843/wsproceedings.2020.01.
Texto completoLucarelli, Caio de Carvalho, Matheus Menezes Oliveira y Joyce Correna Carlo. "Thermal calibration of an existing institutional building". En XIX ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO. UFRGS, 2022. http://dx.doi.org/10.46421/entac.v19i1.1961.
Texto completoDzikowski, Bartosz, Jerzy Weremczuk, Adrian Zdunczyk y Grzegorz Owczarek. "Calibration of wearable flexible humidity sorption sensors". En 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2017. http://dx.doi.org/10.1109/i2mtc.2017.7969941.
Texto completoFester, Jakob, Henrik Kjeldsen, Peter F. Østergaard y Jan Nielsen. "A new set-up for the calibration of wood moisture meters". En 19th International Congress of Metrology (CIM2019), editado por Sandrine Gazal. Les Ulis, France: EDP Sciences, 2019. http://dx.doi.org/10.1051/metrology/201918002.
Texto completoYang, W. Q., A. Chondronasios, S. Nattrass, V. T. Nguyen, M. Betting, I. Ismail y H. McCann. "Adaptive Calibration of a Capacitance Tomography System for Imaging Water Droplets Distribution". En ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58538.
Texto completoGaspersic, B., Stojan Petelin, J. Renar y A. Poredos. "Measuring of Air Humidity and Calibration of Psychrometer". En Advanced Course in Measurement Techniques in Heat and MassTransfer. Connecticut: Begellhouse, 1985. http://dx.doi.org/10.1615/ichmt.1985.advcoursemeastechheatmasstransf.220.
Texto completoSkripnik, Yu y K. Shevchenko. "Linearization of Calibration Parameters in Microwave Humidity Meters". En 2007 17th International Crimean Conference - Microwave & Telecommunication Technology. IEEE, 2007. http://dx.doi.org/10.1109/crmico.2007.4368916.
Texto completoVaucher, Gail T. y Robert Endlich. "Improving humidity and wind measurements at a high energy laser test facility". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.ftt6.
Texto completoPatel, Chandradip y Patrick McCluskey. "Combined Temperature and Humidity Effects on MEMS Vibratory Gyroscope Sensor". En ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/ipack2011-52183.
Texto completoInformes sobre el tema "Humidity Calibrator"
Wexler, A., R. W. Hyland y S. Hasegawa. NIST calibration services for humidity measurement. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4677.
Texto completoMeyer, C. W., J. T. Hodges, P. H. Huang, W. W. Miller, D. C. Ripple y G. E. Scace. Calibration of hygrometers with the hybrid humidity generator. Gaithersburg, MD: National Institute of Standards and Technology, 2008. http://dx.doi.org/10.6028/nist.sp.250-83.
Texto completoMeyer, C. W., T. Herman y W. W. Miller. Calibration of Hygrometers with the Hybrid Humidity Generator. National Institute of Standards and Technology, septiembre de 2021. http://dx.doi.org/10.6028/nist.sp.250-83r1.
Texto completoHeitman, Joshua L., Alon Ben-Gal, Thomas J. Sauer, Nurit Agam y John Havlin. Separating Components of Evapotranspiration to Improve Efficiency in Vineyard Water Management. United States Department of Agriculture, marzo de 2014. http://dx.doi.org/10.32747/2014.7594386.bard.
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