Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Development Of Genetic Algorithms Based Multivariate Calibration Models For The Determination Of Lubricating Oil Compositions Using Fourier Transform Infrared Spectroscopy
Download Development Of Genetic Algorithms Based Multivariate Calibration Models For The Determination Of Lubricating Oil Compositions Using Fourier Transform Infrared Spectroscopy full books in PDF, epub, and Kindle. Read online Development Of Genetic Algorithms Based Multivariate Calibration Models For The Determination Of Lubricating Oil Compositions Using Fourier Transform Infrared Spectroscopy ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Development of Genetic Algorithms Based Multivariate Calibration Models for the Determination of Lubricating Oil Compositions Using Fourier Transform Infrared Spectroscopy by : İrem Anıl
Download or read book Development of Genetic Algorithms Based Multivariate Calibration Models for the Determination of Lubricating Oil Compositions Using Fourier Transform Infrared Spectroscopy written by İrem Anıl and published by . This book was released on 2013 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engine oils consist of base oils and additives. There have been a number of changes in the composition of engine oils depending on the time and using conditions like the decrease in the aditive amounts and increase in the amount of oxidation products. Although there are many physical and chemical standard test methods for the determination of oil quality, none of these methods alone can be used to determine the whole composition of engine oils. The main objective of this work, is to develop a single anlytical method that is simple, rapid and accurate for the quantitative determination of lubricating oil compositions using Fourier transform infrared (FTIR) spectroscopy combined with chemometric multivariate data analysis. For this study, a number of most intensively produced engine oils are chosen in an industrial lubrication oil plant and then synthetic mixtures of oil components were prepared in order to develop multivariate calibration models. The FTIR spectra of these samples were recorded using a three reflection attenuated total reflectance (ATR) accessory. The collected spectral data and the reference concentration values of the samples are then used in multivariate calibration modelling step using a genetic algorithm based inverse leaast squares (GILS) calibration method. It was observed that the correlation coefficients between the reference concentration values and the GILS predicted concentrations were around 0.99. As a result, FTIR spectroscopy combined with multivariate calibration can be a rapid method for the quaantitative determination of engine oil compositions.
Book Synopsis Development of Molecular Spectroscopic Multivariate Calibration Models for the Determination of Fatty Acid and Triachyl Glycerol Compositions of Olive Oils by : Esra Kuday
Download or read book Development of Molecular Spectroscopic Multivariate Calibration Models for the Determination of Fatty Acid and Triachyl Glycerol Compositions of Olive Oils written by Esra Kuday and published by . This book was released on 2014 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: The determination of fatty acid methyl esters and triachyl glycerol compositions of olive oils by chromatographic methods require not only sample pre treatment carried out but also extend the time of the analysis. Also, chromatographic methods are expensive. Therefore, there is a need for an alternative method. In this study, it is aimed to develop molecular spectroscopic multivariate calibration models for the determination of some of the fatty acid methyl esters and triachyl glycerol compositions of olive oils. For this purpose, 79 olive oil samples from different regions of Turkey (Manisa and Bursa) were collected and scanned with Fourier Transform Infrared spectroscopy equipped with attenuated total reflectance (FTIR-ATR) accessory, Fourier Transform Near Infrared spectroscopy (FTNIR) and Gas Chromatography (GC), High Performance Liquid Chromatography (HPLC). Chromatographic analyses of these samples were done by Olive Oil Research Institute and spectroscopic analyses were done by our group. The data obtained from High Performance Liquid Chromatography (HPLC) was chosen as a reference method for triachyl glycerol compositions and also the data obtained from Gas Chromatography (GC) was chosen as a reference method for fatty acid methyl esters. Also, Genetic inverse least squares (GILS) and Partial least square methods (PLS) were used for multivariate calibration. In conclusion, NIR and FTIR combined with multivariate calibration models can be more advantageous compare to chromatographic methods because of their simplicity and speed. When investigating the results, relatively successful calibration models were obtained from GILS method than PLS method.
Book Synopsis Adaptable Multivariate Calibration Models for Spectral Applications by :
Download or read book Adaptable Multivariate Calibration Models for Spectral Applications written by and published by . This book was released on 1999 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate calibration techniques have been used in a wide variety of spectroscopic situations. In many of these situations spectral variation can be partitioned into meaningful classes. For example, suppose that multiple spectra are obtained from each of a number of different objects wherein the level of the analyte of interest varies within each object over time. In such situations the total spectral variation observed across all measurements has two distinct general sources of variation: intra-object and inter-object. One might want to develop a global multivariate calibration model that predicts the analyte of interest accurately both within and across objects, including new objects not involved in developing the calibration model. However, this goal might be hard to realize if the inter-object spectral variation is complex and difficult to model. If the intra-object spectral variation is consistent across objects, an effective alternative approach might be to develop a generic intra-object model that can be adapted to each object separately. This paper contains recommendations for experimental protocols and data analysis in such situations. The approach is illustrated with an example involving the noninvasive measurement of glucose using near-infrared reflectance spectroscopy. Extensions to calibration maintenance and calibration transfer are discussed.
Book Synopsis Genetic Algorithms in Search, Optimization, and Machine Learning by : David Edward Goldberg
Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
Book Synopsis Multivariate Calibration Applied to the Quantitative Analysis of Infrared Spectra by :
Download or read book Multivariate Calibration Applied to the Quantitative Analysis of Infrared Spectra written by and published by . This book was released on 1991 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate calibration methods are very useful for improving the precision, accuracy, and reliability of quantitative spectral analyses. Spectroscopists can more effectively use these sophisticated statistical tools if they have a qualitative understanding of the techniques involved. A qualitative picture of the factor analysis multivariate calibration methods of partial least squares (PLS) and principal component regression (PCR) is presented using infrared calibrations based upon spectra of phosphosilicate glass thin films on silicon wafers. Comparisons of the relative prediction abilities of four different multivariate calibration methods are given based on Monte Carlo simulations of spectral calibration and prediction data. The success of multivariate spectral calibrations is demonstrated for several quantitative infrared studies. The infrared absorption and emission spectra of thin-film dielectrics used in the manufacture of microelectronic devices demonstrate rapid, nondestructive at-line and in-situ analyses using PLS calibrations. Finally, the application of multivariate spectral calibrations to reagentless analysis of blood is presented. We have found that the determination of glucose in whole blood taken from diabetics can be precisely monitored from the PLS calibration of either mind- or near-infrared spectra of the blood. Progress toward the non-invasive determination of glucose levels in diabetics is an ultimate goal of this research. 13 refs., 4 figs.
Book Synopsis Infrared Spectroscopy for Food Quality Analysis and Control by : Da-Wen Sun
Download or read book Infrared Spectroscopy for Food Quality Analysis and Control written by Da-Wen Sun and published by Academic Press. This book was released on 2009-03-05 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by an international panel of professional and academic peers, the book provides the engineer and technologist working in research, development and operations in the food industry with critical and readily accessible information on the art and science of infrared spectroscopy technology. The book should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions. Infrared (IR) Spectroscopy deals with the infrared part of the electromagnetic spectrum. It measure the absorption of different IR frequencies by a sample positioned in the path of an IR beam. Currently, infrared spectroscopy is one of the most common spectroscopic techniques used in the food industry. With the rapid development in infrared spectroscopic instrumentation software and hardware, the application of this technique has expanded into many areas of food research. It has become a powerful, fast, and non-destructive tool for food quality analysis and control. Infrared Spectroscopy for Food Quality Analysis and Control reflects this rapid technology development. The book is divided into two parts. Part I addresses principles and instruments, including theory, data treatment techniques, and infrared spectroscopy instruments. Part II covers the application of IRS in quality analysis and control for various foods including meat and meat products, fish and related products, and others. Explores this rapidly developing, powerful and fast non-destructive tool for food quality analysis and control Presented in two Parts -- Principles and Instruments, including theory, data treatment techniques, and instruments, and Application in Quality Analysis and Control for various foods making it valuable for understanding and application Fills a need for a comprehensive resource on this area that includes coverage of NIR and MVA
Book Synopsis Multivariate Nonnormal Regression Models, Information Complexity, and Genetic Algorithms by : Minhui Liu
Download or read book Multivariate Nonnormal Regression Models, Information Complexity, and Genetic Algorithms written by Minhui Liu and published by . This book was released on 2006 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation develops a novel computationally feasible intelligent data mining and knowledge discovery technique to select the best subset of predictors in multivariate regression (MR) models under the assumption that the random error terms of the model follow a general nonnormal family of distributions. Our approach builds an easy-to-use three way hybrid approach by integrating clever statistical modeling procedures based on the information-theoretic measure of complexity (ICOMP) criterion with genetic algorithm (GA) and multivariate nonnormal regression models with Power Exponential (PE) and family of elliptically contoured (EC) error distributions. This dissertation is composed of four major parts. First, the information criterion ICOMP is reviewed and the GAʹs for model selection and model parameter estimation are developed. The problems of using GA on GA are discussed and a new GA operator, that is, GA Engineering, for improving GA efficiency is introduced. Second, the model selection problem is studied under the assumption that the random error terms are nonnormal. More specifically, the random error terms follow PE and EC distributions which are generalizations of the Normal distribution by adding a shape parameter related to the parameter kurtosis. The expression of information complexity criterion ICOMP(IFIM) are derived in closed form. Properties of the maximum likelihood estimates (MLEs) are discussed. Both simulated and real data examples are given to test the performance of the proposed new approach in subset selection of variables using ICOMP(IFIM) and a GA on GA approach. Third, we extend the PE regression model to two different types of multivariate PE regression models. The first type of multivariate PE regression model assumes that the observations are independent; and the second type of multivariate PE regression model assumes that the observations are dependent. These two types of multivariate PE regression models coincide only when the shape parameter of the multivariate PE distribution is equal to one which corresponds to the multivariate Normal distribution. Method of moments (MOM) and MLEs of the model parameters are developed. Simulated and real data examples are given for both types of multivariate PE regression model selection using ICOMP (IFIM) and GA. Lastly, model selection problems under multivariate EC error assumptions are investigated and the ICOMP(IFIM) expressions for several important EC distributions, including the Pearson Type II, Pearson Type VII, and Kotzʹs Type distributions are derived. Simulated and real data examples are used for the demonstration of model selection using ICOMP and GA under dierent EC assumptions. Multivariate skewed PE regression models, which can handle the skewness and kurtosis simultaneously, and model selection problems are also discussed for future research for intelligent data mining when the data do not follow the usual normal assumption.
Book Synopsis Multivariate Calibration Models Applied to Quantitative XRF Analysis by : Jon Allen
Download or read book Multivariate Calibration Models Applied to Quantitative XRF Analysis written by Jon Allen and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Food Authentication by : Contantinos A. Georgiou
Download or read book Food Authentication written by Contantinos A. Georgiou and published by John Wiley & Sons. This book was released on 2017-05-08 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: The determination of food authenticity is a vital component of quality control. Its importance has been highlighted in recent years by high-profile cases in the global supply chain such as the European horsemeat scandal and the Chinese melamine scandal which led to six fatalities and the hospitalisation of thousands of infants. As well as being a safety concern, authenticity is also a quality criterion for food and food ingredients. Consumers and retailers demand that the products they purchase and sell are what they purport to be. This book covers the most advanced techniques used for the authentication of a vast number of products around the world. The reader will be informed about the latest pertinent analytical techniques. Chapters focus on the novel techniques & markers that have emerged in recent years. An introductory section presents the concepts of food authentication while the second section examines in detail the analytical techniques for the detection of fraud relating to geographical, botanical, species and processing origin and production methods of food materials and ingredients. Finally, the third section looks at consumer attitudes towards food authenticity, the application of bioinformatics to this field, and the Editor’s conclusions and future outlook. Beyond being a reference to researchers working in food authentication it will serve as an essential source to analytical scientists interested in the field and food scientists to appreciate analytical approaches. This book will be a companion to under- and postgraduate students in their wander in food authentication and aims to be useful to researchers in universities and research institutions.
Book Synopsis Introduction to Multivariate Statistical Analysis in Chemometrics by : Kurt Varmuza
Download or read book Introduction to Multivariate Statistical Analysis in Chemometrics written by Kurt Varmuza and published by CRC Press. This book was released on 2016-04-19 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as
Book Synopsis Advances in Near Infrared Spectroscopy and Related Computational Methods by : Christian Huck
Download or read book Advances in Near Infrared Spectroscopy and Related Computational Methods written by Christian Huck and published by MDPI. This book was released on 2020-01-03 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e.g. NIR imaging techniques in biophotonics, medical applications or used for characterization of food products. Its contribution in basic science and physical chemistry should be noted as well, e.g. in exploration of the nature of molecular vibrations or intermolecular interactions. One of the current development trends involves the miniaturization and simplification of instrumentation, creating prospects for the spread of NIR spectrometers at a consumer level in the form of smartphone attachments—a breakthrough not yet accomplished by any other analytical technique. A growing diversity in the related methods and applications has led to a dispersion of these contributions among disparate scientific communities. The aim of this Special Issue was to bring together the communities that may perceive NIR spectroscopy from different perspectives. It resulted in 30 contributions presenting the latest advances in the methodologies essential in near-infrared spectroscopy in a variety of applications.
Book Synopsis Robust Multivariate Calibration Models in Vibrational Spectroscopic Applications by : Hendrik Swierenga
Download or read book Robust Multivariate Calibration Models in Vibrational Spectroscopic Applications written by Hendrik Swierenga and published by . This book was released on 2000 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Spectroscopy by : Jerry Workman Jr.
Download or read book Applied Spectroscopy written by Jerry Workman Jr. and published by Academic Press. This book was released on 1998-06-08 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delineates practical, tested, general methods for ultraviolet, visible, and infrared spectrometry in clear language for novice users, and serves as a reference resource for advanced spectroscopists. Applied Spectroscopy includes important information and equations which will be referred to regularly. The book emphasizes reflectance and color measurements due to their common usage in todays spectroscopic laboratories, and contains methods for selectinga measurement technique as well as solar and color measurements. Written by experts in the field, this text covers spectrometry of new materials, ceramics, and textiles, and provides an appendix of practical reference data for spectrometry. Book topics include: Practical aspects of spectrometers and spectrometry; Sample preparation; Chemometrics and calibration practices; Reflectance measurements; Standard materials measurements An emphasis is placed on reflectance and color measurements due to their common usage in today's spectroscopic laboratories Methods for selecting a measurement technique are included as well as solar measurements and reference information on sources, detectors, optical fiber and window materials
Book Synopsis Handbook of Olive Oil: Analysis and Properties by : Ramon Aparicio
Download or read book Handbook of Olive Oil: Analysis and Properties written by Ramon Aparicio and published by Springer Science & Business Media. This book was released on 2013-11-09 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new olive oil handbook provides a wealth of detail about the analysis and properties of olives and their oil. It covers technological aspects and biochemistry, a description of detailed techniques, and an analysis of olive oil from the standpoint of general methodology.
Download or read book Olive Oil written by Dimitrios Boskou and published by CRC Press. This book was released on 2008-07-18 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epidemiological studies indicate that the consumption of natural antioxidants from such plant-derived sources as olive oil produces beneficial health effects. Olive Oil: Minor Constituents and Health provides a balanced understanding of the pharmacological properties of phenols and other bioactive ingredients in the composition of olive oil. It dis
Book Synopsis Fundamentals of Agricultural and Field Robotics by : Manoj Karkee
Download or read book Fundamentals of Agricultural and Field Robotics written by Manoj Karkee and published by Springer Nature. This book was released on 2021 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past century, mechanization has been an important means for optimizing resource utilization, improving worker health and safety and reducing labor requirements in farming while increasing productivity and quality of 4F (Food, Fuel, Fiber, Feed). Recognizing this contribution, agricultural mechanization was considered as one of the top ten engineering achievements of 20th century by the National Academy of Engineering. Accordingly farming communities have adopted increasing level of automation and robotics to further improve the precision management of crops (including input resources), increase productivity and reduce farm labor beyond what has been possible with conventional mechanization technologies. It is more important than ever to continue to develop and adopt novel automation and robotic solutions into farming so that some of the most complex agricultural tasks, which require huge amount of seasonal labor such as fruit and vegetable harvesting, could be automated while meeting the rapidly increasing need for 4F. In addition, continual innovation in and adoption of agricultural automation and robotic technologies is essential to minimize the use of depleting resources including water, minerals and other chemicals so that sufficient amount of safe and healthy food can be produced for current generation while not compromising the potential for the future generation. This book aims at presenting the fundamental principles of various aspects of automation and robotics as they relate to production agriculture (the branch of agriculture dealing with farming operations from field preparation to seeding, to harvesting and field logistics). The building blocks of agricultural automation and robotics that are discussed in the book include sensing and machine vision, control, guidance, manipulation and end-effector technologies. The fundamentals and operating principles of these technologies are explained with examples from cutting-edge research and development currently going on around the word. This book brings together scientists, engineers, students and professionals working in these and related technologies to present their latest examples of agricultural automation and robotics research, innovation and development while explaining the fundamentals of the technology. The book, therefore, benefits those who wish to develop novel agricultural engineering solutions and/or to adopt them in the future. .
Book Synopsis Course Notes on the Interpretation of Infrared and Raman Spectra by : Dana W. Mayo
Download or read book Course Notes on the Interpretation of Infrared and Raman Spectra written by Dana W. Mayo and published by John Wiley & Sons. This book was released on 2004-06-07 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feste, flüssige oder Dampfphase, reiner Stoff oder Lösung: Die IR-Spektroskopie ist mittlerweile auf Proben aller Art anwendbar, und die Probenmenge darf im Pikogrammbereich liegen. Wie man insbesondere IR- und Raman-Spektren großer Moleküle auswertet und interpretiert, zeigt dieses in seiner Art einmalige Werk, das als Arbeitsanleitung und Nachschlagewerk gleichermaßen geeignet ist. An vielen Beispielen kann der Leser sich in der Interpretation von Spektren üben. Im Anhang findet sich eine ausführliche Bibliographie, ansprechend geordnet nach 14 Spezialgebieten.
