scholarly journals Metodología de superficie de respuesta dual con variables de ruido cualitativas

2020 ◽  
pp. 13-18
Author(s):  
Iván Martínez-Mendoza ◽  
Adán Valles ◽  
Jaime Sánchez-Leal
Keyword(s):  
Response Surface Methodology ◽  
Research Work ◽  
Noise Factor ◽  
Industrial Processes ◽  
Mathematical Approach ◽  
Mathematical Software ◽  
Behavioral Variable ◽  
Plastic Parts ◽  
Noise Factors ◽  
Best Fit

The application of the response surface methodology in the optimization of industrial processes has had a great boom in recent decades, however, with a significant limitation, the null inclusion of qualitative factors in the noise variables. Since the methodology assumes the behavior of the noise factors as a continuous behavioral variable that follows a normal distribution. But what happens if this is not the case? How to treat a qualitative noise factor? What probability distribution would best fit the qualitative noise factor? What would be the correct inclusion of this type of noise factor in the methodology? This article summarizes the four-year research work from the mathematical approach to the new equations, case simulations using mathematical software and 2 real cases in maquiladora plants that manufacture plastic parts.

scholarly journals The Effect of Salt Solutions and Absorption Cycles in the Capillary and Drying Coefficient of Red Brick Samples with Different Joints

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
A. S. Guimarães ◽  
J. M. P. Q. Delgado ◽  
V. P. de Freitas ◽  
A. P. Albuquerque
Keyword(s):  
Molecular Diffusion ◽  
Research Work ◽  
Sodium Sulphate ◽  
Capillary Absorption ◽  
Material Decomposition ◽  
Salt Solutions ◽  
Partial Immersion ◽  
First Order Kinetics ◽  
Building Components ◽  
Best Fit

Rising damp can reduce building’s aesthetical value, comfort, and health mark when combined with the existence of soluble salts in the building components and in the ground water can even lead to material decomposition and compromise its structural performance. This research work intended to study the effect of different absorption cycles of two saturated solutions of sodium sulphate and potassium chloride in the capillary absorption curves obtained through the partial immersion of red brick samples without and with different joints. The results revealed significant differences in the capillary coefficients obtained when samples were tested with salt solutions. In the end of this paper an evaluation of the drying kinetics was presented for all the tested samples. Four different first-order kinetics models, available in the literature, were adjusted to describe the drying process and the results point that the Page and Logarithmic models allow the best fit. The apparent molecular diffusion coefficient for solid red brick samples saturated with different solutions and joints was also estimated.

INTEGRATING DATA MINING TO A PROCESS DESIGN USING THE ROBUST BAYESIAN APPROACH

2008 ◽  
Vol 15 (05) ◽  
pp. 441-464 ◽  
Author(s):  
HEAJIN JEONG ◽  
SUHILL SONG ◽  
SANGMUN SHIN ◽  
BYUNG RAE CHO
Keyword(s):  
Data Mining ◽  
Process Design ◽  
Research Work ◽  
Design Procedure ◽  
Design Tool ◽  
Raw Data ◽  
Correlation Based Feature Selection ◽  
Vital Component ◽  
Process Database ◽  
Noise Factors

Although process design optimization issues have received considerable attention from researchers for more than several decades, and a number of methodologies for modeling and optimizing the process have been developed, there is still ample room for improvement. Most research work has rarely considered the use of raw data from a manufacturing process database into the process design. However, the use of cumulative raw data can be a vital component in optimizing processes. To address this, we propose a new process design procedure called robust-Bayesian data mining (RBDM). First, we show how data mining techniques and a correlation-based feature selection (CBFS) method can be applied effectively to the selection of significant factors. Second, we then show how RBDM can be incorporated into robust design. Third, we present how the proposed RBDM estimates process parameters by considering the concept of robustness of the estimated parameters while incorporating the concept of noise factors. Finally, we present numerical examples to illustrate the efficiency of the proposed RBDM as a design tool for optimizing manufacturing processes.

Unique Taxonomy for Evaluating Fog Computing Services

2021 ◽  
pp. 165-177
Author(s):  
Akashdeep Bhardwaj ◽  
Sam Goundar
Keyword(s):  
Fog Computing ◽  
Research Work ◽  
Cloud Service ◽  
Time Data ◽  
Computing Services ◽  
Last Mile ◽  
Technology Applications ◽  
Service Consumer ◽  
Cloud Network ◽  
Best Fit

Cloud computing has slowly but surely become the foremost service provider for information technology applications and platform delivery. However, Cloud issues continue to exist, like cyberattacks, slow last mile latency, and clouds lack client-centric and location-aware applications to process real time data for efficient and customized application delivery. As an alternative, Fog Computing has the potential to resolve these issues by extending the Cloud service provider's reach to the edge of the Cloud network model, right up to the Cloud service consumer. This enables a whole new state of applications and services which increases the security, enhances the cloud experience and keeps the data close to the user. This research article presents a review on the academic literature research work on Fog Computing, introduces a novel taxonomy to classify cloud products based on Fog computing elements and then determine the best fit Fog Computing product to choose for the Cloud service consumer.

scholarly journals Calibration of Manning’s roughness in non-instrumented rural basins using a distributed hydrological model

DYNA ◽  
2019 ◽  
Vol 86 (210) ◽  
pp. 164-173
Author(s):  
Carlos Andrés Caro Camargo ◽  
Oscar Fabián Pacheco Merchán ◽  
Hans Paul Sánchez Tueros
Keyword(s):  
Hydrological Model ◽  
Numerical Study ◽  
Research Work ◽  
Roughness Coefficient ◽  
Distributed Hydrological Model ◽  
The Standard Model ◽  
Saint Venant Equations ◽  
Volume Method ◽  
Best Fit ◽  
Selection Of

The purpose of this research work was to calibrate the Manning's roughness coefficient in rural non-instrumented basins using a distributed hydrological model. The process consisted of the selection of several basins with vegetal cover of forests and grasslands, and its subsequent experimental numerical study, in which the hydrological response hydrograph of each reference basin was obtained from the HEC-HMS software and the hydrograph to be calibrated was the Iber software, which is a hydrodynamic model based on the two-dimensional Saint Venant equations, solved by the finite volume method. Once the calibration process was carried out, the roughness coefficients with the best fit for each basin were identified with increases in precipitation, identifying the limitations of these values and the standard model used.

Simulation Analysis of Excess Noise Factors for Photomultiplier Tube

2014 ◽  
Vol 556-562 ◽  
pp. 1745-1748
Author(s):  
Shen Wang ◽  
Zhao Yang Zeng ◽  
Fei Zhang
Keyword(s):  
Numerical Simulations ◽  
Simulation Analysis ◽  
Photomultiplier Tube ◽  
Noise Factor ◽  
Excess Noise ◽  
Excess Noise Factor ◽  
Photoelectric Detector ◽  
Changing Trend ◽  
Noise Factors

Noise is one of the most significant indicators to measure the performance of the PMT, which is regarded as a photoelectric detector. Moreover, the excess noise factor F is an important parameter to describe the noise. Excess noise factor expressions for PMT in different situations are derived and analyzed by simulation in this paper. Some numerical simulations are made to obtain the maximum and minimum excess noise factor F and the changing trend of F with each parameter. From the analysis, we can minimize the noise for PMT to increase the detection precision as a photoelectric detector.

Optimization of melon oil methyl ester production using response surface methodology

2017 ◽  
Vol 2 (1) ◽  
pp. 1-10 ◽  
Author(s):  
O. S. Aliozo ◽  
L. N. Emembolu ◽  
O. D. Onukwuli
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Methyl Ester ◽  
Response Surface ◽  
Research Work ◽  
Biodiesel Production ◽  
Molar Ratio ◽  
Reaction Conditions ◽  
Central Composite Designs ◽  
American Society

Abstract In this research work, melon oil was used as feedstock for methyl ester production. The research was aimed at optimizing the reaction conditions for methyl ester yield from the oil. Response surface methodology (RSM), based on a five level, four variable central composite designs (CCD)was used to optimize and statistically analyze the interaction effect of the process parameter during the biodiesel production processes. A total of 30 experiments were conducted to study the effect of methanol to oil molar ratio, catalyst weight, temperature and reaction time. The optimal yield of biodiesel from melon oil was found to be 94.9% under the following reaction conditions: catalyst weight - 0.8%, methanol to oil molar ratio - 6:1, temperature - 55°C and reaction time of 60mins. The quality of methyl ester produced at these conditions was within the American Society for Testing and Materials (ASTM D6751) specification.

The Effect on Concrete Resistivity of Sulfate Content in Water

2012 ◽  
Vol 1488 ◽  
Author(s):  
Luis Emilio Rendon ◽  
Montserrat Rendon ◽  
Norma Ramirez
Keyword(s):  
Research Work ◽  
Sulfate Attack ◽  
Industrial Processes ◽  
X Ray Diffraction ◽  
X Ray ◽  
Naturally Occurring ◽  
Sulfate Solutions ◽  
External Sources ◽  
Internal Sources ◽  
Concrete Resistivity

ABSTRACTSulfate attack on concrete has been studied worldwide for more than 60 years. However, the mechanisms of attack are still not entirely understood, and deterioration of concrete from sulfates still occurs. The source of the sulfates may be either external or internal. External sources are the naturally occurring sulfates in the environment or those sulfates that are the product of industrial processes or various human activities (e.g. fertilizers often release sulfates into the soil and groundwater). Internal sources of sulfates may include the sulfates introduced in the cements from which concrete is made. The purpose of this study is to find out the amount of sulfates that concrete can withstand in the water. Standards tests have been developed to evaluate the resistance of concretes to sulfate attack. Some, but not all of these tests, take into account the mechanisms of sulfate attack so far discovered in research work. The tests range from those that monitor changes in the strength of concrete specimens after set periods of immersion in known compositions sulfate solutions, to those that use x- ray diffraction to examine concrete specimens for expansive products (e.g. ettringite and thaumasite) that have resulted from sulfate attack.

scholarly journals Some Clarifications Regarding Literature on Atmospheric Corrosion of Weathering Steels

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
I. Díaz ◽  
H. Cano ◽  
B. Chico ◽  
D. de la Fuente ◽  
M. Morcillo
Keyword(s):  
Corrosion Rate ◽  
Environmental Conditions ◽  
Atmospheric Corrosion ◽  
Research Work ◽  
Rust Layer ◽  
Morphology And Structure ◽  
Time Of Wetness ◽  
Best Fit

Extensive research work has thrown light on the requisites for a protective rust layer to form on weathering steels (WSs) in the atmosphere, one of the most important is the existence of wet/dry cycling. However, the abundant literature on WS behaviour in different atmospheres can sometimes be confusing and lacks clear criteria regarding certain aspects that are addressed in the present paper. What corrosion models best fit the obtained data? How long does it take for the rust layer to stabilize? What is the morphology and structure of the protective rust layer? What is an acceptable corrosion rate for unpainted WS? What are the guideline environmental conditions, time of wetness (TOW), SO2, and Cl−, for unpainted WS? The paper makes a review of the bibliography on this issue.

scholarly journals Excess Noise Factor in Avalanche Photodiodes with Dead Space Effect

2021 ◽  
Author(s):  
Vignesh Reddy Angadi
Keyword(s):  
Monte Carlo ◽  
User Interface ◽  
Graphical User Interface ◽  
Avalanche Photodiodes ◽  
Research Work ◽  
Noise Factor ◽  
Excess Noise ◽  
Excess Noise Factor ◽  
Monte Carlo Calculations ◽  
Space Effect

Abstract This project aims to produce a graphical user interface (GUI) for MATLAB programs written by J.S.Marsland as part of his research into the excess noise factor in avalanche photodiodes (APDs). The GUI will be produced using the GUIDE package supplied with the MATLAB software combined with the MATLAB programs. The GUI will then be used to compare this research work with the research work of others e.g. the Monte Carlo calculations made by the research group at the French Aerospace Laboratory (ONERA). Comparison with other research work will require the digitization of some graphs published in academic journals.

Vertical wind speed extrapolation: Modelling using a response surface methodology (RSM) based on unconventional designs

2021 ◽  
pp. 0309524X2110463
Author(s):  
Feriel Adli ◽  
Nawel Cheggaga ◽  
Farouk Hannane ◽  
Leila Ouzeri
Keyword(s):  
Response Surface Methodology ◽  
Wind Speed ◽  
Response Surface ◽  
Vertical Wind ◽  
Industrial Processes ◽  
Wind Speed Profile ◽  
Wind Speeds ◽  
Vertical Wind Speed ◽  
Mathematical Techniques ◽  
Rsm Model

The main objective of this paper is to develop a predictive model of vertical wind speed profile. Response surface methodology (RSM) is used for this purpose. RSM is a set of statistical and mathematical techniques useful for the development, improvement and optimisation of processes. It is mainly used in industrial processes and is successfully applied in this paper to model the wind speed at the hub height of the wind turbine. An unconventional model is adopted due to the nature of the input parameters which cannot be controlled or modified. The model validation indicators, namely correlation coefficient ([Formula: see text]) and root mean square error (RMSE = 1.02), give excellent results when comparing predicted and measured wind speeds. For the same data, the RSM model gives a better RMSE compared to the conventional power law and the artificial neural network.

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