Quality Recognition & Prediction
Quality Recognition & Prediction

Author: Shoichi Teshima

Publisher: Momentum Press

Published: 2012-06-15

Total Pages: 256

ISBN-13: 1606503448

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The Mahalanobis-Taguchi data handling and pattern recognition system is widely established-- built and extended from the original quality control precepts of Genichi Taguchi. But the MT system is not always well understood. This new book makes the system much more vivid and concrete with real-life applications in a wide variety of disciplines from industry to general commerce. The book offers a clear computational method to show the user how to actually apply the system to real manufacturing control problems. With the renowned international industry background of the three authors and their historic ties to Genichi Taguchi, this book will bring a unique insight into how to get the most benefits from the MT System. The book offers an overview of pattern recognition issues and the precepts of the MT system. explains the merits of the MT System and its computational methods. shows how to handle data with the MT System and extract useful information. provides a useful comparison of the advantages and disadvantages between traditional Artificial Intelligence systems and the MT system. provides case study examples of MT Systems applications.

Deep Learning Based Speech Quality Prediction
Deep Learning Based Speech Quality Prediction

Author: Gabriel Mittag

Publisher: Springer Nature

Published: 2022-02-24

Total Pages: 171

ISBN-13: 3030914798

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This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advancements in machine learning can be leveraged for the task of speech quality prediction and provides an in-depth analysis of the suitability of different deep learning architectures for this task. The author then shows how the resulting model outperforms traditional speech quality models and provides additional information about the cause of a quality impairment through the prediction of the speech quality dimensions of noisiness, coloration, discontinuity, and loudness.

Assessment and Prediction of Speech Quality in Telecommunications
Assessment and Prediction of Speech Quality in Telecommunications

Author: Sebastian Möller

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 253

ISBN-13: 1475731175

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The quality of a telecommunication voice service is largely inftuenced by the quality of the transmission system. Nevertheless, the analysis, synthesis and prediction of quality should take into account its multidimensional aspects. Quality can be regarded as a point where the perceived characteristics and the desired or expected ones meet. A schematic is presented which classifies different entities which contribute to the quality of a service, taking into account conversational, user as weIl as service related contributions. Starting from this concept, perceptively relevant constituents of speech communication quality are identified. The perceptive factors result from ele ments of the transmission configuration. A simulation model is developed and implemented which allows the most relevant parameters of traditional trans mission configurations to be manipulated, in real time and for the conversation situation. Inputs into the simulation are instrumentally measurable quality elements commonly used in transmission planning of telephone networks. A reduced set of these quality elements forms a basis for models which aim at predicting mouth-to-ear quality as it would be perceived by a user of the sys tem. These models are an important tool for the planner of telecommunication networks, as they allow the expected quality to be estimated in advance, even before the network has been set up. Two well-known models (the SUBMOD and the E-model) are analyzed in more detail, with an emphasis on the psy choacoustic and psychophysical backgrounds.

Introduction to Protein Structure Prediction
Introduction to Protein Structure Prediction

Author: Huzefa Rangwala

Publisher: John Wiley & Sons

Published: 2011-03-16

Total Pages: 611

ISBN-13: 111809946X

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A look at the methods and algorithms used to predict protein structure A thorough knowledge of the function and structure of proteins is critical for the advancement of biology and the life sciences as well as the development of better drugs, higher-yield crops, and even synthetic bio-fuels. To that end, this reference sheds light on the methods used for protein structure prediction and reveals the key applications of modeled structures. This indispensable book covers the applications of modeled protein structures and unravels the relationship between pure sequence information and three-dimensional structure, which continues to be one of the greatest challenges in molecular biology. With this resource, readers will find an all-encompassing examination of the problems, methods, tools, servers, databases, and applications of protein structure prediction and they will acquire unique insight into the future applications of the modeled protein structures. The book begins with a thorough introduction to the protein structure prediction problem and is divided into four themes: a background on structure prediction, the prediction of structural elements, tertiary structure prediction, and functional insights. Within those four sections, the following topics are covered: Databases and resources that are commonly used for protein structure prediction The structure prediction flagship assessment (CASP) and the protein structure initiative (PSI) Definitions of recurring substructures and the computational approaches used for solving sequence problems Difficulties with contact map prediction and how sophisticated machine learning methods can solve those problems Structure prediction methods that rely on homology modeling, threading, and fragment assembly Hybrid methods that achieve high-resolution protein structures Parts of the protein structure that may be conserved and used to interact with other biomolecules How the loop prediction problem can be used for refinement of the modeled structures The computational model that detects the differences between protein structure and its modeled mutant Whether working in the field of bioinformatics or molecular biology research or taking courses in protein modeling, readers will find the content in this book invaluable.

Biometric Recognition
Biometric Recognition

Author: Jianjiang Feng

Publisher: Springer Nature

Published: 2021-09-09

Total Pages: 502

ISBN-13: 3030866084

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The LNCS volume 12878 constitutes the proceedings of the 15th Chinese Conference on Biometric Recognition, held in Shanghai, China, in September 2021. The 53 papers presented in this book were carefully reviewed and selected from 72 submissions. The papers cover a wide range of topics such as multi-modal biometrics and emerging biometrics; hand biometrics; facial biometrics; and speech biometrics.

Rapid and Nondestructive Detection Techniques for Agri-Product Quality
Rapid and Nondestructive Detection Techniques for Agri-Product Quality

Author: Te Ma

Publisher: Frontiers Media SA

Published: 2024-08-13

Total Pages: 258

ISBN-13: 2832553133

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Agri-product such as grains, fruits and vegetables play a very important role in people's daily life. The agri-product quality directly affects human life and health. Agri-product quality refers to the quality characteristics acceptable to consumers, which mainly includes external factors such as size, shape, color, defect and texture, and internal factors such as physical properties, chemical composition and tissue diseases. Generally speaking, variety, climate, soil, cultivation techniques, diseases and pests are all factors that affect the agri-product quality. Traditional methods for agri-product quality evaluation are time-consuming, complex, and expensive. With the continuous development of modern science and technology, rapid and nondestructive detection technologies are applied to evaluate the quality of agri-product. These technologies could obtain the optical, acoustics and electrical properties of a specific substance and then reveal the appearance and internal quality of the agri-product. Furthermore, the trend today is that consumers have become more exigent for information about the products they purchase, which makes the nondestructive detection technology has more important application value in the field of agri-product quality evaluation.

Intelligent Decision Making in Quality Management
Intelligent Decision Making in Quality Management

Author: Cengiz Kahraman

Publisher: Springer

Published: 2015-10-31

Total Pages: 474

ISBN-13: 331924499X

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This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.

Simulating Conversations for the Prediction of Speech Quality
Simulating Conversations for the Prediction of Speech Quality

Author: Thilo Michael

Publisher: Springer Nature

Published: 2023-06-30

Total Pages: 157

ISBN-13: 3031318447

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This book discusses the simulation of conversations through a novel approach of predicting speech quality based on the interactions of two simulated interlocutors. The author describes the setup of a simulation environment that is capable of simulating human dialogue on the speech level. The impact of delay and bursty packet loss on VoIP conversations is investigated and modeled for the use in the simulation. Based on parameters extracted from simulated conversations, the author proposes extensions to the E-model, a parametric model standardized by the International Telecommunications Union, in order to predict the quality of the simulated conversations. The author shows that predictions based on the simulated conversations outperform models that rely on the transmission parameters alone.

Rapid methods for food and feed quality determination
Rapid methods for food and feed quality determination

Author: A. van Amerongen

Publisher: BRILL

Published: 2023-08-28

Total Pages: 259

ISBN-13: 9086866069

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"There is an ever-increasing need for rapid methods and instrumentation in the field of food and feed quality. Key issues dealt with in the food and feed industry include: monitoring of processes at all stages; showing due diligence in the control of food and nutritional quality; achieving rapid results for detecting (micro)biological, chemical and physical deterioration of food and feed; and finally, detecting rapidly and reliably food authenticity and/or adulteration. Developments in analytical techniques have led to the emergence of a wide range of rapid methods to complement the traditional methods. Faster results, higher productivity, lower costs and increased sensitivity are key concepts for all those involved in writing this book. Key topics include: - emerging rapid technologies; - rapid monitoring of food and nutritional quality; - rapid testing of quality deterioration and spoilage; - rapid testing of authenticity and adulteration; - quality tracking & tracing and rapid testing. The methods and techniques presented here, in their varying degree of complexity, will be a valuable resource for researchers and professionals from the food and feed industry as well as from the scientific community. This book is an ideal supplement to 'Rapid Methods for biological and chemical contaminants in food and feed' as published in 2005."