Relevant bibliographies by topics / Humidity

Academic literature on the topic 'Humidity'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Humidity"

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Purnama, Prasanti Mia, Nadia Fadila, Najmi Fajrin Baharsyah, Ulya Farahnas, and Mauilal Hasanah. "Prediksi Parameter Kelembapan Udara Berdasarkan Data Penyinaran Matahari Menggunakan Metode Aproksimasi Kuadrat Terkecil." Zeta - Math Journal 8, no. 2 (July 25, 2023): 60–65. http://dx.doi.org/10.31102/zeta.2023.8.2.60-65.

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Humidity is the measure, generally expressed as a percentage, of water vapor that presents in the air. Each place has different percentage of humidity. It happens since humidity is affected by solar radiation intensity. In this study, the percentage of relative humidity is being predicted by applying least square method and Gauss elimination. The data used in this research is the data of relative humiditity and solar radiation intensity during 2018 until 2022 which have been collected by Trunojoyo Stationary of Meteorology. The result shows that the approximation function generated by linear square method is powerful enough in order to predict the relative humidty, based on the relatively small error accumulated.
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Jain, Rajeev Kumar, Archa Sharma, Jaya Lalwani, Deepti Chaurasia, and Nagaraj Perumal. "Impact of relative humidity on SARS-CoV-2 RNA extraction using Nextractor automated extraction system." Journal of Biological Methods 11, no. 2 (July 4, 2024): e99010012. http://dx.doi.org/10.14440/jbm.2024.0001.

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This study investigated the influence of relative humidity (RH) on the efficiency of SARS-CoV-2 RNA extraction using the Nextractor automated system. Experiments employing clinical samples demonstrated satisfactory sensitivity and reproducibility for RNA extraction at low humidity (below 50% RH). Conversely, extractions at high humidity (above 70% RH) resulted in complete failure of reverse transcription-polymerase chain reaction assays, with neither SARS-CoV-2 RNA nor the human RNase P gene (internal control) detected. Analysis suggested that residual ethanol, incompletely evaporating due to high humidity, acted as a potent polymerase chain reaction inhibitor in these samples. These findings highlighted the importance of maintaining optimal laboratory humidity (<50% RH) for reliable SARS-CoV-2 RNA extraction using the Nextractor system. Furthermore, laboratories should implement strategies such as regular humidity monitoring, staff training on humidity’s impact, and system validation under specific humidity conditions to ensure accurate molecular diagnostic workflows for COVID-19 testing.
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Hendarti, R., J. Linggarjati, JC Kurnia, and R. Arkan Hanan H. "Influence of humidity on the performance of floating photovoltaic systems over ponds in a tropical urban environment." IOP Conference Series: Earth and Environmental Science 1375, no. 1 (July 1, 2024): 012015. http://dx.doi.org/10.1088/1755-1315/1375/1/012015.

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Abstract Floating solar photovoltaics (FPV) are increasingly favored for solar energy harnessing, necessitating a thorough grasp of performance-influencing factors, notably weather conditions. This study delves into the statistical scrutiny of humidity’s impact on FPV performance within tropical settings, focusing on Jakarta’s urban context. While humidity’s effect on solar cell performance, particularly voltage output, is acknowledged, its influence in urban pond settings remains underexplored. Thus, an experiment was conducted, placing a floating PV system over a 24 m2 pond to directly assess humidity’s impact. Additionally, ambient temperature and irradiance levels were analyzed to comprehensively understand their interconnected effects on system efficiency. Moreover, the study investigated airflow’s role in humidity variation and overall environmental dynamics. The experimental setup comprised two strategically positioned solar panels over a 1.5-meter-deep pond. Regression and analysis of variance (ANOVA) techniques were employed to scrutinize humidity’s impact on the FPV system. Results revealed an inverse relationship between humidity and voltage, with humidity also contributing to ambient temperature reduction, thereby enhancing the microclimate. These findings underscore the intricate interplay of factors, where humidity, driven by evaporation, negatively influences irradiance levels while indirectly benefiting PV cell temperature by lowering ambient temperature. This research provides crucial insights for optimizing FPV performance in tropical urban settings, emphasizing the importance of nuanced approaches that account for humidity’s impact on floating photovoltaic systems.
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Raven, Ann. "High Humidity." Harrington Lesbian Fiction Quarterly 1, no. 2 (August 16, 2000): 143–44. http://dx.doi.org/10.1300/j161v01n02_14.

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Regtien, Paul P. L. "Humidity sensors." Measurement Science and Technology 23, no. 1 (December 5, 2011): 010103. http://dx.doi.org/10.1088/0957-0233/23/1/010103.

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Martin, R. Bruce. "Relative Humidity." Journal of Chemical Education 76, no. 8 (August 1999): 1081. http://dx.doi.org/10.1021/ed076p1081.

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Fidler, Heidi L. "Incubator Humidity." Advances in Neonatal Care 11, no. 3 (June 2011): 197–99. http://dx.doi.org/10.1097/anc.0b013e31821d0074.

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Kulwicki, Bernard M. "Humidity Sensors." Journal of the American Ceramic Society 74, no. 4 (April 1991): 697–708. http://dx.doi.org/10.1111/j.1151-2916.1991.tb06911.x.

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Gierens, K., and K. Eleftheratos. "Upper-tropospheric humidity changes under constant relative humidity." Atmospheric Chemistry and Physics Discussions 15, no. 20 (October 29, 2015): 29497–521. http://dx.doi.org/10.5194/acpd-15-29497-2015.

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Abstract. Theoretical derivations are given on the change of upper-tropospheric humidity (UTH) in a warming climate. Considered view is that the atmosphere, getting moister with increasing temperatures, will retain a constant relative humidity. In the present study we show that the upper-tropospheric humidity, a weighted mean over a relative humidity profile, will change in spite of constant relative humidity. The simple reason for this is that the weighting function, that defines UTH, changes in a moister atmosphere. Through analytical calculations using observations and through radiative transfer calculations we demonstrate that two quantities that define the weighting function of UTH can change: the water vapour scale height and the peak emission altitude. Applying these changes to real profiles of relative humidity shows that absolute UTH changes typically do not exceed 1 %. If larger changes would be observed they would be an indication of climatological changes of relative humidity. As such, an increase in UTH between 1980 and 2009 in the northern midlatitudes as shown by earlier studies using HIRS data, may be an indication of an increase in relative humidity as well.
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Gierens, Klaus, and Kostas Eleftheratos. "Upper tropospheric humidity changes under constant relative humidity." Atmospheric Chemistry and Physics 16, no. 6 (March 30, 2016): 4159–69. http://dx.doi.org/10.5194/acp-16-4159-2016.

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Abstract. Theoretical derivations are given on the change of upper tropospheric humidity (UTH) in a warming climate. The considered view is that the atmosphere, which is getting moister with increasing temperatures, will retain a constant relative humidity. In the present study, we show that the upper tropospheric humidity, a weighted mean over a relative humidity profile, will change in spite of constant relative humidity. The simple reason for this is that the weighting function that defines UTH changes in a moister atmosphere. Through analytical calculations using observations and through radiative transfer calculations, we demonstrate that two quantities that define the weighting function of UTH can change: the water vapour scale height and the peak emission altitude. Applying these changes to real profiles of relative humidity shows that absolute UTH changes typically do not exceed 1 %. If larger changes would be observed they would be an indication of climatological changes of relative humidity. As such, an increase in UTH between 1980 and 2009 in the northern midlatitudes, as shown by earlier studies using the High-resolution Infrared Radiation Sounder (HIRS) data, may be an indication of an increase in relative humidity as well.
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Dissertations / Theses on the topic "Humidity"

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Bellmann, C., A. Steinke, T. Frank, and G. Gerlach. "Humidity micro switch based on humidity-sensitive polymers." SPIE, 2015. https://tud.qucosa.de/id/qucosa%3A35030.

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We present recent results on a binary threshold sensor based on the binary zero-power sensor (BIZEPS) platform which is able to use the energy provided directly from the measured relative humidity of the ambient air to mechanically switch an electrical micro contact. This zero-power switch behavior is realized by using the humidity-sensitive volume swelling of a polymer layer as the detection element deflecting a mechanically deformable silicon boss structure, thus closing the electrical contacts of the switch. For the humidity-sensitive sensor switch considered here, a humidity-sensitive hydrogel blend of poly(vinyl alcohol) and poly(acryl acid) was used. The sensitive part affected by the measurand is completely separated from the electrical part, thus providing long-term stability. By using an inverse silicone stamping technique the polymer layer with a thickness of about 15 μm was patterned on test structures possessing a thin silicon flexure plate of 5 mm x 5 mm in size and 20 μm in thickness. Reproducible deformations of up to 15 … 24 μm has been measured. Investigations of the swelling kinetics showed for several discrete relative humidity values a saturation of the water load. The time to reach this saturation state is reduced from 5 hours down to approx. 20 min by increasing the relative humidity beyond the threshold value of 70% r.H. A significant influence of the temperature to the humidity load could not be observed.
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Boltshauser, Thomas. "CMOS humidity sensors /." [S.l.] : [s.n.], 1993. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10320.

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TABANDEH, SHAHIN. "Advances in Humidity Standards." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2745353.

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Dedic, Haris. "Humidity sensor for car seat." Thesis, University West, Department of Technology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-785.

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Newton, Mark K. "The initial perception of humidity." Thesis, University of Portsmouth, 2011. https://researchportal.port.ac.uk/portal/en/theses/the-initial-perception-of-humidity(5c072ca2-6291-450a-a7ac-32c9d6ec1cbc).html.

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Wang, Xiaodong. "Electrolyte-based Wireless Humidity Sensor." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95372.

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This master thesis was initiated in the Organic Electronics group at Linköping University within a project called ‘Brains & Bricks’. The purpose was to develop a prototype of a wireless humidity sensor with a solid polyelectrolyte as the humidity sensing material. The humidity levels can be estimated from the resonant frequency of a testing circuit. The readings were performed by a wireless method between two coils. Both the testing circuit and the simulation programs were designed in this thesis work. The operating frequency of the sensor was chosen to be in the range of 100 kHz to 200 kHz at which the solid polyelectrolyte, Polystyrene Sulfonic Acid (PSSH), was sensitive to humidity variations. Three different types of humidity sensors were fabricated and tested. These sensor heads promised for printability and low-cost manufacturing. A shift, responding to a humidity variation, in the resonant frequency of the testing circuit was detected by a reader coil which was 1 cm away from a sensor coil. These measurements matched the results simulated by a Matlab program. The feasibility of fabricating a low-cost wireless humidity sensor with a solid polyelectrolyte as humidity sensing material by printing technique was proved in the thesis work. Subsequent research will be continued to develop humidity sensors having a lateral structure and an improved performance.
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Pretlove, Stephen Edward Charles. "Predicting relative humidity in UK dwellings." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555004.

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Mould growth affects a significant proportion of dwellings in the UK and Europe. The house dust mite is also known to inhabit most dwellings and is one of the key factors affecting the health of the occupants. One of the key variables affecting mould growth and house dust mite populations is relative humidity. The relative humidity in a dwelling is dependent upon both the moisture levels and the temperature. The ability to assess the impact of different interventions on the relative humidity depends upon the ability to model both the internal temperature and the internal vapour pressure. This thesis develops, tests and assesses the impact of four combined moisture and thermal models which predict micro-environmental relative humidity. Two thermal models are tested, the BREDEM-8 monthly model, and the BREDEM-12 seasonal model. To each of these, two moisture models have been integrated including Loudon's steady-state moisture model and Jones' admittance moisture model. The BREDEM-8 Loudon model has been shown to be the most accurate model for predicting the airspace relative humidity in 36 dwellings during the heating season. The BREDEM-8 Loudon model has then undergone further development and testing and the applications of the model are investigated. A variable infiltration calculation has been implemented and tested within the BREDEM-8 Loudon model and the results show no improvement in the model prediction accuracy. Surface relative humidity calculations have also been incorporated for all dwelling surfaces, including cold bridges, and the significance of predicting surface conditions has been evaluated. The impact of fuel poverty is tested using simple versions of the BREDEM-8 Loudon model which have been adapted to account for situations where the expenditure available for fuel is limited and where the heating system is inadequately sized. Finally, a Mould Index has been developed which indicates the risk of mould growing on the coldest surfaces in a dwelling and various interventions in dwelling design and use are tested against this index and against the Affordable Warmth Index which defines the affordability of a particular dwelling. The results demonstrate a number of significant limitations in the current British Standard for condensation in buildings, BS 5250: 1989. It has been shown that the geographical and seasonal variations in internal relative humidity are significant, and that the highest relative humidity is unlikely to coincide with the coldest period of the year. It has also been shown that the modelling of surface conditions is critical in the assessment of mould growth in dwellings. Sensitivity studies carried out on the BREDEM-8 Loudon model have shown the most significant variables affecting the relative humidity predictions are the demand temperature, the heating pattern, the number of occupants, the ventilation rate and the level of insulation. The adequate sizing of the heating system and the ability of the occupants to afford to heat the dwelling to a comfortable temperature have been shown to be essential. It has also been shown that a change in the dwelling design or use may improve the affordability but may also lead to an increased risk from mould growth.
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Keramitsoglou, Iphigenia. "On measurements of upper tropospheric humidity." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313660.

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Tong, Jingbo. "MEASUREMENT AND MODELING OF HUMIDITY SENSORS." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/59.

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Humidity measurement has been increasingly important in many industries and process control applications. This thesis research focus mainly on humidity sensor calibration and characterization. The humidity sensor instrumentation is briefly described. The testing infrastructure was designed for sensor data acquisition, in order to compensate the humidity sensor’s temperature coefficient, temperature chambers using Peltier elements are used to achieve easy-controllable stable temperatures. The sensor characterization falls into a multivariate interpolation problem. Neuron networks is tried for non-linear data fitting, but in the circumstance of limited training data, an innovative algorithm was developed to utilize shape preserving polynomials in multiple planes in this kind of multivariate interpolation problems.
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Sun, Lu. "Laser nano-ablation for humidity detection." Thesis, Imperial College London, 2018. http://hdl.handle.net/10044/1/64820.

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Nano-scale fabrication of technical materials is one of the biggest challenges in future industrial applications. There is a growing need for components with feature sizes below one micron. The well-established techniques, including e-beam lithography and focused ion beam milling, suffer several limitations, such as expensive apparatus, low fabrication speed and small scale production. Laser nano-ablation, as an efficient implementation method, has offered promising merits in large scale nano-fabrication. First applied to polymers, it offered a one-step fabrication ability with sub-micron structuring resolution. Later, following the pioneering work of Stuke and co-workers, surface treatment of non-polymeric materials, such as crystals, metals and semiconductors was achieved using picosecond and femtosecond laser systems. In this thesis, laser nano-ablation was used to fabricate large scale nano-hole arrays on polyimide films to improve the performance of humidity sensors. A 193 nm ArF pulsed laser system was established, simulated and optically aligned. Hole arrays with 920 nm diameter at the top, 339 nm diameter at the bottom and 451 nm depth were produced using mask projection ablation on polyimide films. Interdigitated polyimide humidity sensors were fabricated, packaged and tested. Based on conformal mapping and partial capacitance, capacitance modelling of interdigitated electrode arrays was built to analyse the capacitance variations with electrode dimensions. A reliable home-made humidity chamber was established for sensor tests. Static and dynamic tests were carried out to characterize the sensor performance. Static tests showed the nano-patterned films can enhance the sensitivity by 7.1% at humidity levels below 68% RH and by 100% at humidity levels higher than 68% RH. In addition, dynamic test showed that the nano-patterned polyimide films are able to improve the response speed by about 20%. Overall, this thesis demonstrates that large-area nano-hole arrays formed by laser ablation can improve the sensitivity and response time of polyimide-based capacitive humidity sensors.
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Books on the topic "Humidity"

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Maunder, Tess. Absolute humidity. Parañaque City, Philippines: Hardworking Goodlooking, 2018.

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NAMAS. Traceability: measurement of humidity. Teddington: NAMAS, 1990.

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Korotcenkov, Ghenadii. Handbook of Humidity Measurement. Boca Raton : CRC Press, Taylor & Francis Group, 2018-[2020]: CRC Press, 2020. http://dx.doi.org/10.1201/9781351056502.

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Food, Ontario Dept of Agriculture and. Measuring Relative Humidity (rh). S.l: s.n, 1985.

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National Renewable Energy Laboratory (U.S.) and Photovoltaic Module Reliability Workshop (2012 : Golden, Colo.), eds. Humidity, temperature and voltage. Golden, CO: National Renewable Energy Laboratory, 2012.

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Canada Mortgage and Housing Corporation., ed. Measuring humidity in your home: Do you have a humidity problem? [Ottawa]: Canada Mortgage and Housing Corporation, 2000.

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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.

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Wernecke, Roland, and Jan Wernecke, eds. Industrial Moisture and Humidity Measurement. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527652419.

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Forecast Systems Laboratory (U.S.), ed. The LAPS specific humidity analysis. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Forecast Systems Laboratory, 1992.

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Forecast Systems Laboratory (U.S.), ed. The LAPS specific humidity analysis. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Forecast Systems Laboratory, 1992.

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Book chapters on the topic "Humidity"

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Gooch, Jan W. "Humidity." In Encyclopedic Dictionary of Polymers, 373. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_6074.

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Baker, John M. "Humidity." In Agronomy Monographs, 31–41. Madison, WI, USA: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr47.c2.

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Mathias, Simon A. "Humidity." In Hydraulics, Hydrology and Environmental Engineering, 405–22. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-41973-7_18.

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Lindau, Ralf. "Relative Humidity." In Climate Atlas of the Atlantic Ocean, 125–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-59526-4_14.

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Trainor, Harry J. "Humidity Measurement." In 64th Porcelain Enamel Institute Technical Forum: Ceramic Engineering and Science Proceedings, Volume 23, Issue 5, 133–51. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2008. http://dx.doi.org/10.1002/9780470294765.ch18.

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Przybylak, Rajmund. "Air Humidity." In The Climate of the Arctic, 109–16. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0379-6_6.

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Gooch, Jan W. "Relative Humidity." In Encyclopedic Dictionary of Polymers, 621–22. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_9896.

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Volponi, Allan J. "Humidity Corrections." In Gas Turbine Parameter Corrections, 71–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41076-6_8.

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Gooch, Jan W. "Specific Humidity." In Encyclopedic Dictionary of Polymers, 685. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_10945.

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Nyman, Petter. "Humidity Measurements." In Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires, 1–5. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-51727-8_116-1.

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Conference papers on the topic "Humidity"

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Iverson, Jeffery T. "The Humidity Validation Payload and Distributed Humidity Control." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-3206.

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Bellmann, C., A. Steinke, T. Frank, and G. Gerlach. "Humidity micro switch based on humidity-sensitive polymers." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Yoseph Bar-Cohen. SPIE, 2015. http://dx.doi.org/10.1117/12.2084179.

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Stolberg-Rohr, T., R. Buchner, A. Krishna, L. Munch, K. Pihl, J. S. Hansen, S. Tojaga, H. G. Moos, and J. M. Jensen. "NDIR humidity measurement." In 2011 IEEE Sensors. IEEE, 2011. http://dx.doi.org/10.1109/icsens.2011.6127237.

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FENOTTI, Fulvio, and David VASTY. "Humidity Calibration Automation." In 19th International Congress of Metrology (CIM2019), edited by Sandrine Gazal. Les Ulis, France: EDP Sciences, 2019. http://dx.doi.org/10.1051/metrology/201918003.

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This article describes an automated humidity calibration system developed in Trescal Italy using a software developed internally, a high resolution Digital Single-Lens Reflex (DSLR) camera, climatic chambers and chilled mirror hygrometers as reference standards.
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Grethe, Thomas, Sina Borczyk, Katharina Plenkmann, Marina Normann, Maike Rabe, and Anne Schwarz-Pfeiffer. "Textile humidity sensors." In 2018 Symposium on Design, Test, Integration & Packaging of MEMS and MOEMS (DTIP). IEEE, 2018. http://dx.doi.org/10.1109/dtip.2018.8394188.

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Reznicek, Michal. "Humidity field estimation." In 2017 International Symposium ELMAR. IEEE, 2017. http://dx.doi.org/10.23919/elmar.2017.8124475.

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Dai, Qinglang, Yongzhi Huang, Lu Wang, Rukhsana Ruby, and Kaishun Wu. "mm- Humidity: Fine-Grained Humidity Sensing with Millimeter Wave Signals." In 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2018. http://dx.doi.org/10.1109/padsw.2018.8644907.

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"Technology and Application of Humidity Control under High Humidity Environment." In 2018 3rd International Conference on Mechatronics and Information Technology. Clausius Scientific Press, 2018. http://dx.doi.org/10.23977/icmit.2018.007.

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"Atmospheric Humidity Measurements on Mars by a Simple Lightweight Humidity Transducer." In 55th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.iac-04-q.p.06.

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KIM, SUNG-MIN, DONG-HOON HWANG, JUNG-WON PARK, JUNG-KEOL HAM, MYUNG-SOO KIM, and GEUN-TAE OH. "DEGRADATION CHARACTERISTICS OF POLYMERIC HUMIDITY SENSORS UNDER HIGH TEMPERATURE AND HUMIDITY." In Proceedings of the 2nd International Workshop (AIWARM 2006). WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773760_0062.

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Reports on the topic "Humidity"

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Evans, R. A. Humidity requirements in WSCF Laboratories. Office of Scientific and Technical Information (OSTI), October 1994. http://dx.doi.org/10.2172/10185474.

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Wexler, A., R. W. Hyland, and 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.

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Stark, W. (Dehumidification system for high humidity areas). Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6488196.

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Daugherty, W. L. Fiberboard humidity data for 9975 shipping packages. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1209029.

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Daugherty, W. L. Fiberboard humidity data for 9975 shipping packages. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1209034.

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Daugherty, W. Fiberboard Humidity Data for 9975 Shipping Packages. Office of Scientific and Technical Information (OSTI), July 2015. http://dx.doi.org/10.2172/1209051.

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Appelhans, Leah. Humidity effects on wire insulation breakdown strength. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1096450.

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Cook, DR. Tower Temperature and Humidity Sensors (TWR) Handbook. Office of Scientific and Technical Information (OSTI), February 2010. http://dx.doi.org/10.2172/1020277.

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Shehabi, Arman, William Tschudi, and Ashok Gadgil. Data Center Economizer Contamination and Humidity Study. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/971864.

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Olsen. L52135 Humidity Control for Power and Emissions. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2003. http://dx.doi.org/10.55274/r0011125.

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Abstract:
NOX emissions regulations below 1.0 g/bhp-hr are being implemented in some parts of the country (e.g. Houston). Increasing engine efficiency is one way to increase gas transport. However, a dilemma that often occurs is techniques that reduce NOX emissions often simultaneously decrease engine efficiency. An alternative approach to increasing gas transport is to increase the power output, or brake mean effective pressure (BMEP), of the large bore natural gas engines presently in service. The onset of knock typically limits the maximum power output of spark ignition engines; water injection can eliminate knock and enable a power increase. In this work, the feasibility of in-cylinder water injection is demonstrated as a technique for reducing emissions and increasing BMEP. A water injection system was developed for the Cooper-Bessemer GMV-4TF engine. Two locations for water injection were evaluated, near the spark plug and opposite the spark plug in the end gas. Testing was conducted for both NOx reduction and increasing power.
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