OCM 2021 - Optical Characterization of Materials : Conference Proceedings PDF Download
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Author: Beyerer, Jürgen
Publisher: KIT Scientific Publishing
ISBN: 3731510812
Category : Science
Languages : en
Pages : 216
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Book Description
The state of the art in the optical characterization of materials is advancing rapidly. New insights have been gained into the theoretical foundations of this research and exciting developments have been made in practice, driven by new applications and innovative sensor technologies that are constantly evolving. The great success of past conferences proves the necessity of a platform for presentation, discussion and evaluation of the latest research results in this interdisciplinary field.
Author: Beyerer, Jürgen
Publisher: KIT Scientific Publishing
ISBN: 3731510812
Category : Science
Languages : en
Pages : 216
Get Book Here
Book Description
The state of the art in the optical characterization of materials is advancing rapidly. New insights have been gained into the theoretical foundations of this research and exciting developments have been made in practice, driven by new applications and innovative sensor technologies that are constantly evolving. The great success of past conferences proves the necessity of a platform for presentation, discussion and evaluation of the latest research results in this interdisciplinary field.
Author: Beyerer, Jürgen
Publisher: KIT Scientific Publishing
ISBN: 3731512742
Category : Science
Languages : en
Pages : 196
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Book Description
The state of the art in the optical characterization of materials is advancing rapidly. New insights have been gained into the theoretical foundations of this research and exciting developments have been made in practice, driven by new applications and innovative sensor technologies that are constantly evolving.
Author: Jürgen Beyerer
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Abdo Hassoun
Publisher: Elsevier
ISBN: 0443155178
Category : Medical
Languages : en
Pages : 314
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Book Description
Developments in Food Quality and Safety Series is the most up-to-date resource covering trend topics such as Advances in the analysis of toxic compounds and control of food poisoning; Food fraud, traceability and authenticity; Revalorization of agrifood industry; Natural antimicrobial compounds and application to improve the preservation of food; Non-thermal processing technologies in the food industry; Nanotechnology in food production; and Intelligent packaging and sensors for food applications. Volume 4, Food Industry 4.0: Emerging Trends and Technologies in Food Production and Consumption covers several technologies (e.g., robotics, smart sensors, artificial intelligence, and big data) at different development and research levels in order to provide holistic multidisciplinary approaches that embrace simultaneously as many Industry 4.0 technologies as possible, reflecting the long journey of food from farm (or sea) to fork. Chapters explore automation, digitalization, and green technologies, besides food quality, food safety food traceability, processing and preservation 4.0. Topics such as smart sensors, artificial intelligence and big data revolution, additive manufacturing, and emerging food trends are also explored. The series is edited by Dr. José Manuel Lorenzo and authored by a team of global experts in the fields of Food Quality and Safety, providing comprehensive knowledge to food industry personals and scientists. - Provides a comprehensive view of Industry 4.0 technologies as applied to the food industry - Covers the most trend topics related to novel foods in the light of emerging innovations and developments - Discusses how implementing innovative technologies holds significant potential to increase efficiency and value added, save time and cost, and increase profitability in various food sectors
Author: Simon Goisser
Publisher: Cuvillier Verlag
ISBN: 3736965435
Category : Science
Languages : en
Pages : 210
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Book Description
Food-scanners are novel, portable and miniaturized devices, which operate on the principle of near-infrared spectroscopy (NIRS). According to the manufacturers, these devices are suitable for measuring a wide range of important quality parameters on fresh produce. This research evaluated the suitability of food-scanners for determining fruit quality along the supply chain of fruit and vegetables. Using the qualitative research approach, the first step of this research comprised interviews of experts at different positions along the fresh produce value chain in Germany. Thereby, preferences and concerns regarding the utilization and implementation of this technology for fresh produce were investigated. Based on these findings, non-destructive prediction models for various important quality characteristics and secondary plant constituents were developed using the model fruit tomato. In addition, food-scanner predictions of relevant quality traits on a wide range of produce from the fruit and vegetable assortment were examined. The evaluations showed a high degree of conformity between the results of non-destructive food-scanner predictions and conventional destructive measurement methods. The results illustrate the great potential of these novel devices for the application in everyday practice of fruit quality control along the fresh produce supply chain.
Author: Adam Wax
Publisher: McGraw Hill Professional
ISBN: 0071598812
Category : Technology & Engineering
Languages : en
Pages : 401
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Book Description
Clinical applications include: detecting pre-cancerous and cancerous tissue states; characterizing cell and tissue properties for identifying disease; and assessing the presence and concentration of biochemicals for diagnostic purposes Part of the McGraw-Hill Biophotonics Series
Author: Miroslav Kubat
Publisher: Springer
ISBN: 3319639137
Category : Computers
Languages : en
Pages : 348
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Book Description
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.
Author: Ni-Bin Chang
Publisher: CRC Press
ISBN: 1351650637
Category : Technology & Engineering
Languages : en
Pages : 627
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Book Description
In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.
Author: İlkay Bakırtaş
Publisher: BoD – Books on Demand
ISBN: 1839626518
Category : Science
Languages : en
Pages : 260
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Book Description
With this book, we aim to capture different perspectives of researchers on nonlinear optics and optical devices and we intend to cover the latest developments in optics from theoretical, numerical, and experimental aspects. The eleven selected chapters cover a variety of topics related to nonlinear optics including bright, dark, kink solitary waves in various media, magnetic solitons, lattice solitons, rogue-waves, solid-state lasers, laser cladding, optical sensors, optical vortices, and molecular switches. The book is intended to draw the attention of scientists in academia, as well as researchers and engineers in industry, since the field has a significant potential for the production and design of novel optical devices and other technological applications.
Author: Florias Mees
Publisher: Geological Society of London
ISBN: 9781862391390
Category : Medical
Languages : en
Pages : 266
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Book Description
X-ray computed tomography (CT) is a technique that allows non-destructive imaging and quantification of internal features of objects. X-ray CT reveals differences in density and atomic composition and can therefore be used for the study of porosity, the relative distribution of contrasting solid phases and the penetration of injected solutions. In this book, various applications of X-ray CT in the geosciences are illustrated by papers covering a wide range of disciplines, including petrology, soil science, petroleum geology, geomechanics and sedimentology.
