Academic literature on the topic 'Process Variable'

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Journal articles on the topic "Process Variable"

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Goldfarb, Heidi B., Connie M. Borror, and Douglas C. Mongomery. "Mixture-Process Variable Experiments with Noise Variables." Journal of Quality Technology 35, no. 4 (2003): 393–405. http://dx.doi.org/10.1080/00224065.2003.11980237.

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Pipat, PHAISALPANUMAS, Keiichi KIMURA, Keisuke SUZUKI, and KHAJORNRUNGRUANG Panart. "608 Study on Variable Rotation Polishing in CMP Process." Proceedings of Conference of Kyushu Branch 2012.65 (2012): 207–8. http://dx.doi.org/10.1299/jsmekyushu.2012.65.207.

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Kim, Jihyun, Qiang Huang, and Jianjun Shi. "Latent variable based key process variable identification and process monitoring for forging." Journal of Manufacturing Systems 26, no. 1 (2007): 53–61. http://dx.doi.org/10.1016/j.jmsy.2007.12.001.

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Eryurek, Evren. "Process device diagnostics using process variable sensor signal." Journal of the Acoustical Society of America 115, no. 1 (2004): 18. http://dx.doi.org/10.1121/1.1646990.

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von Hippel, Eric. "Task partitioning: An innovation process variable." Research Policy 19, no. 5 (1990): 407–18. http://dx.doi.org/10.1016/0048-7333(90)90049-c.

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He, Xiao Bin, and Yu Pu Yang. "Variable MWPCA for Adaptive Process Monitoring." Industrial & Engineering Chemistry Research 47, no. 2 (2008): 419–27. http://dx.doi.org/10.1021/ie070712z.

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Kondo, Yasuo, Yuko Itoh, Mitsugu Yamaguchi, Satoshi Sakamoto, and Kenji Yamaguchi. "Prediction Model of Power Consumption for Variable Material Removal Rate Machining Process." International Journal of Materials, Mechanics and Manufacturing 7, no. 2 (2019): 68–71. http://dx.doi.org/10.18178/ijmmm.2019.7.2.432.

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LEE, M. K., S. H. HONG, H. M. KWON, and S. B. KIM. "OPTIMUM PROCESS MEAN AND SCREENING LIMITS FOR A PRODUCTION PROCESS WITH THREE-CLASS SCREENING." International Journal of Reliability, Quality and Safety Engineering 07, no. 03 (2000): 179–90. http://dx.doi.org/10.1142/s021853930000016x.

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The optimum process mean and screening limits are provided for a production process where the accepted item is sold in one of two alternative markets and the rejected item is reworked. All items are subject to screening where the screening variable may be the major quality characteristic of interest (performance variable) or the surrogate variable, which is highly correlated with the performance variable. Each item is classified into three quality grades A, B, and C: grade A items are sold to primary market, grade B items are sold to secondary market, and grade C items are reworked by the same
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Glynn, Adam N., and Kevin M. Quinn. "Why Process Matters for Causal Inference." Political Analysis 19, no. 3 (2011): 273–86. http://dx.doi.org/10.1093/pan/mpr021.

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Our goal in this paper is to provide a formal explanation for how within-unit causal process information (i.e., data on posttreatment variables and partial information on posttreatment counterfactuals) can help to inform causal inferences relating to total effects—the overall effect of an explanatory variable on an outcome variable. The basic idea is that, in many applications, researchers may be able to make more plausible causal assumptions conditional on the value of a posttreatment variable than they would be able to do unconditionally. As data become available on a posttreatment variable,
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Jin, Gang, Qichang Zhang, Shuying Hao, and Qizhi Xie. "Stability prediction of milling process with variable pitch and variable helix cutters." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 2 (2013): 281–93. http://dx.doi.org/10.1177/0954406213486381.

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The use of variable pitch or helix cutters is a known means to prevent chatter vibration during milling. In this article, an alternative method based on an improved semi-discretization method is proposed to predict the stability of variable pitch or variable helix milling. In order to consider the effect of distributed system delays attributed to helix variation, the average delays were calculated for each flute after the engaged cutting flutes were divided into a finite number of axial elements. Meanwhile, a straightforward integral force model, which can consider the piecewise continuous reg
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Dissertations / Theses on the topic "Process Variable"

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Hughes, Christopher Scott. "Variable Sampling Rate Control Charts for Monitoring Process Variance." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/37643.

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Industrial processes are subject to changes that can adversely affect product quality. A change in the process that increases the variability of the output of the process causes the output to be less uniform and increases the probability that individual items will not meet specifications. Statistical control charts for monitoring process variance can be used to detect an increase in the variability of the output of a process so that the situation can be repaired and product uniformity restored. Control charts that increase the sampling rate when there is evidence the variance has
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Jaeckle, Christiane M. "Product and process improvement using latent variable methods." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0006/NQ42853.pdf.

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Hussein, Wessam Mahmoud Elbestawi Mohamed A. A. Veldhuis Stephen C. "Machining process monitoring using multivariate latent variable methods." *McMaster only, 2007.

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Yi, Gang. "Variable Selection with Penalized Gaussian Process Regression Models." Thesis, University of Newcastle upon Tyne, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515061.

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Marque-Pucheu, Sophie. "Gaussian process regression of two nested computer codes." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCC155/document.

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Cette thèse traite de la métamodélisation (ou émulation) par processus gaussien de deux codes couplés. Le terme « deux codes couplés » désigne ici un système de deux codes chaînés : la sortie du premier code est une des entrées du second code. Les deux codes sont coûteux. Afin de réaliser une analyse de sensibilité de la sortie du code couplé, on cherche à construire un métamodèle de cette sortie à partir d'un faible nombre d'observations. Trois types d'observations du système existent : celles de la chaîne complète, celles du premier code uniquement, celles du second code uniquement.Le métamo
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Löfroth, Jaime, and Samuel Wiklund. "A Multivariate Process Analysis on a Paper Production Process." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149283.

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A big challenge in managing large scale industry processes, like the ones in the paper and pulp industry, is to reduce the amount of downtime and reduce sources of product quality variability to a minimum, while staying cost effective. To accomplish this the key is to understand the complex nature of the processes variables, and to quantify the causal relationships between them and the product quality together with the amount of output. Paper and pulp industry processes consist mainly of chemical processes and the relatively low cost of sensors today enables collection of huge amounts of data,
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Taylor, Peter. "Modelling the accretion process in intermediate polars." Thesis, Open University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242481.

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Kim, Sinae. "Bayesian variable selection in clustering via dirichlet process mixture models." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5888.

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The increased collection of high-dimensional data in various fields has raised a strong interest in clustering algorithms and variable selection procedures. In this disserta- tion, I propose a model-based method that addresses the two problems simultane- ously. I use Dirichlet process mixture models to define the cluster structure and to introduce in the model a latent binary vector to identify discriminating variables. I update the variable selection index using a Metropolis algorithm and obtain inference on the cluster structure via a split-merge Markov chain Monte Carlo technique. I evaluat
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Lewis, Patricia L. "Faith : a variable of locus of control and process orientation /." Click for abstract, 1997. http://library.ctstateu.edu/ccsu%5Ftheses/1496.html.

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Thesis (M.A.)--Central Connecticut State University, 1997.<br>Thesis advisor: Dr. Marc Goldstein. " ... in partial fulfillment of the requirements for the degree of Master of Arts in Psychology." Includes bibliographical references (leaves 56-60).
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BARROS, ITALO PARENTE DE. "STATISTICAL CONTROL OF A MULTIPLE-STREAM PROCESS WITH VARIABLE MEANS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=11899@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Este trabalho mostra a implantação de técnicas de Controle Estatístico de Processo (CEP) em uma indústria de cosméticos, em uma situação em que as técnicas convencionais não são aplicáveis. O processo a ser controlado é constituído de oito canais, que produzem em um mesmo instante de tempo oito unidades de um mesmo produto. Tal processo possui a peculiaridade de ter médias variáveis no tempo, mesmo em estado de controle estatístico. Como os métodos de controle propostos na literatura para processos com múltiplos canais têm como p
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Books on the topic "Process Variable"

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Hippel, Eric von. Task partitioning: An innovation process variable. Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1989.

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Hippel, Eric von. Task partitioning: An innovation process variable. Sloan School of Management, Massachusetts Institute of Technology, 1988.

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Scott, Steven. Evaporator fan VFD market transformation initiative: Market process evaluation report #3 : final report. Pacific Energy Associates, Inc., 2002.

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Langevin, Christian D. Modflow-2000: The U.S. Geological Survey modular ground-water model--documentation of the SEAWAT-2000 version with the variable-density flow process (VDF) and the integrated MT3DMS transport process (IMT). U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Langevin, Christian D. MODFLOW-2000, the U.S. Geological Survey modular ground-water model--documentation of the SEAWAT-2000 version with the variable-density flow process (VDF) and the integrated MT3DMS transport process (IMT). U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Langevin, Christian D. MODFLOW-2000, the U.S. Geological Survey modular ground-water model--documentation of the SEAWAT-2000 version with the variable-density flow process (VDF) and the integrated MT3DMS transport process (IMT). U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Langevin, Christian D. MODFLOW-2000, the U.S. Geological Survey modular ground-water model--documentation of the SEAWAT-2000 version with the variable-density flow process (VDF) and the integrated MT3DMS transport process (IMT). U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Langevin, Christian D. MODFLOW-2000, the U.S. Geological Survey modular ground-water model--documentation of the SEAWAT-2000 version with the variable-density flow process (VDF) and the integrated MT3DMS transport process (IMT). U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Langevin, Christian D. MODFLOW-2000, the U.S. Geological Survey modular ground-water model--documentation of the SEAWAT-2000 version with the variable-density flow process (VDF) and the integrated MT3DMS transport process (IMT). U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Langevin, Christian D. MODFLOW-2000, the U.S. Geological Survey modular ground-water model--documentation of the SEAWAT-2000 version with the variable-density flow process (VDF) and the integrated MT3DMS transport process (IMT). U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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Book chapters on the topic "Process Variable"

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Jaupi, Luan. "Variable Selection Methods for Process Monitoring." In Transactions on Engineering Technologies. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9804-4_29.

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Plekhanova, Valentina. "On project management scheduling where human resource is a critical variable." In Software Process Technology. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64956-5_11.

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Voivenel, L., E. Varea, L. Danaila, B. Renou, and M. Cazalens. "Variable Viscosity Jets: Entrainment and Mixing Process." In Whither Turbulence and Big Data in the 21st Century? Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41217-7_9.

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Ying, Hong Guang. "8. L2 Learners’ Interpretation of Operator-Variable Binding in VP Ellipsis." In Understanding Second Language Process, edited by ZhaoHong Han. Multilingual Matters, 2007. http://dx.doi.org/10.21832/9781847690159-010.

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Deville, Yannick, and Alain Deville. "From Blind Quantum Source Separation to Blind Quantum Process Tomography." In Latent Variable Analysis and Signal Separation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22482-4_21.

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Hashorva, Enkelejd, Mikhail Lifshits, and Oleg Seleznjev. "Approximation of a Random Process with Variable Smoothness." In Mathematical Statistics and Limit Theorems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12442-1_11.

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Xiao, Zedong, Junli Zhao, Xuejun Qiao, and Fuqing Duan. "Craniofacial Reconstruction Using Gaussian Process Latent Variable Models." In Computer Analysis of Images and Patterns. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23192-1_38.

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Vasie, Marius, Domenico Mundo, and Laurenţia Andrei. "New Algorithm for Variable Speed Gear Generation Process." In Power Transmissions. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6558-0_34.

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Srivastava, Praveen Ranjan. "Test Process Model with Enhanced Approach of State Variable." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14825-5_16.

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Coetzer, Roelof L. J., and Linda M. Haines. "Optimal Designs for Multiple-Mixture by Process Variable Experiments." In Contributions to Statistics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00218-7_6.

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Conference papers on the topic "Process Variable"

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Haekal, Muhammad, and Igor Boiko. "MRFT based identification of process dynamics." In 2014 13th International Workshop on Variable Structure Systems (VSS). IEEE, 2014. http://dx.doi.org/10.1109/vss.2014.6881128.

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Gao, Xuedong, and Ai Wang. "VARIABLE-SCALE CLUSTERING FOR DECISION MAKING." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2018. http://dx.doi.org/10.13033/isahp.y2018.061.

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Lawrence, Neil D., and Andrew J. Moore. "Hierarchical Gaussian process latent variable models." In the 24th international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1273496.1273557.

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Pylvänäinen, Mika, and Toni Liedes. "Reliable Detection of a Variance Increase in a Critical Process Variable." In Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016. Linköping University Electronic Press, 2018. http://dx.doi.org/10.3384/ecp17142605.

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Vinay, Krishna Chandran, H. N. Shyam, S. Rishi, and S. Moorthi. "FPGA Based Implementation of Variable-Voltage Variable-Frequency Controller for a Three Phase Induction Motor." In 2011 International Conference on Process Automation, Control and Computing (PACC). IEEE, 2011. http://dx.doi.org/10.1109/pacc.2011.5978884.

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Miller, A. Keith. "Infinitely Variable Process Control for Distributed Generation." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66290.

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The global trend to power industrial operations using local fuel sources continues, rather than relying so heavily on electrical power from large, centralized generating plants. Using a local fuel source has come to be termed “distributed generation”, implying that electrical power is generated locally and then used to power the relevant on-site industrial processes. This paper presents an alternative to distributed generation, where prime movers, powered by a local fuel source, are coupled directly to the equipment of the industrial processes using Infinitely Variable Transmissions (IVTs). Th
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Xie, Yingbai, Hang Su, Xuedong Zhang, and Zhouxuan Xu. "Variable-Mass Thermodynamic Analysis of Drying Process." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67293.

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Drying is the complex process which involving simultaneous heat, mass and momentum transfer phenomena. The variable-mass thermodynamic viewpoint is introduced to analysis the drying process. For a closure heat pump drying equipment, variable-mass thermodynamic models based on the first law are constructed. Calculations on the rate of moisture removal and supply airflow are done based on the values of experimental data. The efficiency of drying process is calculated with the variable-mass and the classical thermodynamic method; the two methods have the same result. And the variable-mass thermod
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Taffo Tiam, Raoul, Abdelhak-Djamel Seriai, and Raphael Michel. "An Operational Model of Variable Business Process." In 17th International Conference on Enterprise Information Systems. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005372301620172.

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Wang, Xuyue, J. Wang, Francisco Chinesta, Yvan Chastel, and Mohamed El Mansori. "Laser 3D Machining with Variable Process Parameters." In INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS AND PROCESSING TECHNOLOGIES (AMPT2010). AIP, 2011. http://dx.doi.org/10.1063/1.3552337.

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Felli, Paolo, Massimiliano de Leoni, and Marco Montali. "Soundness Verification of Decision-Aware Process Models with Variable-to-Variable Conditions." In 2019 19th International Conference on Application of Concurrency to System Design (ACSD). IEEE, 2019. http://dx.doi.org/10.1109/acsd.2019.00013.

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Reports on the topic "Process Variable"

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Huffman, David. Calorimeter Process Variable Archiving. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/1033671.

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Nazarenko, Ivan, and Oleksandr Diachenko. Experimental research of the working process of the vibration installation for compaction of concrete mixes with variable mode of oscilla-tions. Gіrnichі, budіvelnі, dorozhnі ta melіorativnі mashini, 2019. http://dx.doi.org/10.31493/gbdmm1892.0301.

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Bhatt, B. L. Synthesis of dimethyl ether and alternative fuels in the liquid phase from coal-derived synthesis gas. Task 2.2: Definition of preferred catalyst system; Task 2.3: Process variable scans on the preferred catalyst system; Task 2.4: Life-test on the preferred catalyst system. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10138953.

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Lindemer, Terrence, Chinthaka M. Silva, John James Henry, Jr, et al. Carbothermic Synthesis of ~820- m UN Kernels. Investigation of Process Variables. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1254083.

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Regalbuto, M. C., B. Misra, D. B. Chamberlain, R. A. Leonard, and G. F. Vandegrift. The monitoring and control of TRUEX processes. Volume 1, The use of sensitivity analysis to determine key process variables and their control bounds. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10177602.

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Upadhyaya, B. R. NERI PROJECT 99-119. TASK 2. DATA-DRIVEN PREDICTION OF PROCESS VARIABLES. FINAL REPORT. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/885670.

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Mello, Charlene M., Steve Arcidiacono, Megan Garvey, et al. Identification of Important Process Variables for Fiber Spinning of Protein Nanotubes Generated from Waste Materials. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada556006.

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López Bóo, Florencia, Marta Dormal, and Ann Weber. The Psychometric Properties of Child Care Quality Measures in Ecuador: Lessons for Monitoring Process Variables at Scale. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0000478.

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Scully, John R. Corrosion Mechanisms in Brazed Al-Base Alloy Sandwich Structures as a Function of Braze Alloy and Process Variables. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada579023.

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Mitchell, R. Comparative impact of selected group input variables on self-assessments of group process skills in interdisciplinary health care teams : a field study. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.6012.

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