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Author: Kranthi Kumar Reddy Mogireddy Publisher: ISBN: Category : Computer algorithms Languages : en Pages : 61
Book Description
A detailed knowledge of particulates released during combustion is vital for managing an air quality program. Comprehending the chemical and physical characteristics of particulates is essential to solve health problems, smog formations, acid rain issues, and climate changes. Over the last 30 years, environmental professionals have started investigating non-destructive techniques to evaluate physical characteristics because of its substantial affects on human health. This thesis presents Scanning Electron Microscope (SEM) integrated with image processing technique as a tool for physical characterization of particulate matter. The characterization process involves image reading, preprocessing, segmentation, feature extraction, and representation steps. In these steps, selection of optimal image segmentation algorithm is the key for analyzing the captured images of fine particulate matter. In this thesis, a novel frame work for automating the process of selecting optimal image segmentation algorithm for each image using Support Vector Machines (SVMs) is presented. In addition to this, an image processing algorithm is developed based on Sobel edge detection method for statistical determination of various morphological parameters including area, diameter and shape factor of the particles.
Author: Kranthi Kumar Reddy Mogireddy Publisher: ISBN: Category : Computer algorithms Languages : en Pages : 61
Book Description
A detailed knowledge of particulates released during combustion is vital for managing an air quality program. Comprehending the chemical and physical characteristics of particulates is essential to solve health problems, smog formations, acid rain issues, and climate changes. Over the last 30 years, environmental professionals have started investigating non-destructive techniques to evaluate physical characteristics because of its substantial affects on human health. This thesis presents Scanning Electron Microscope (SEM) integrated with image processing technique as a tool for physical characterization of particulate matter. The characterization process involves image reading, preprocessing, segmentation, feature extraction, and representation steps. In these steps, selection of optimal image segmentation algorithm is the key for analyzing the captured images of fine particulate matter. In this thesis, a novel frame work for automating the process of selecting optimal image segmentation algorithm for each image using Support Vector Machines (SVMs) is presented. In addition to this, an image processing algorithm is developed based on Sobel edge detection method for statistical determination of various morphological parameters including area, diameter and shape factor of the particles.
Author: Karpagam Tirumazhisai Manivannan Publisher: ISBN: Category : Air Languages : en Pages : 86
Book Description
Particulate matter is a highly complex mixture of very minute particles and liquid droplets present in the atmosphere. These inhalable particles can potentially cause heart and lungs in human. The destructive effect of these particles is directly linked to their size. Hence, scientific studies are conducted to determine the physical characterization of particulate matter in addition to their chemical composition. This thesis proposes an efficient tool for physical characterization of particulate matter using Image processing technique. The selection of optimal segmentation algorithm is essential to characterize the particulate matter image captured from Scanning Electron Microscope (SEM). Further, the morphological properties of the particles are estimated from the segmented image. The Support Vector Machine (SVM) is incorporated for automatic selection of optimal segmentation algorithm for the PM image without any human intervention. The Gray Level Co-occurrence Matrix (GLCM) is used as the superior feature descriptor for the classifier to achieve exceptional performance in predicting the best segmentation algorithm for cumulative number of images. In addition, the classification performance of Support vector machine is compared with Artificial Neural Network (ANN) in terms of prediction accuracy.
Author: Saurabh Sonwani Publisher: Springer Nature ISBN: 9811653879 Category : Science Languages : en Pages : 326
Book Description
This book is about airborne particulate matter, sources, chemistry and health and contained a complete information about their emission source, transport, atmospheric chemistry, distribution at local, regional and global levels, and their level in indoor and outdoor settings. Primary and secondary particulate matters in the ambient atmosphere also describe in detail. Analytical techniques, statistical tools and mathematical models used in airborne particulate research is also described. This book also covers the important aspects of the particulate matter chemistry in atmosphere, and their adverse impact on plant and human health. A detailed insight about the harmful impact of airborne particulate matter (biogenic and anthropogenic both) on different human system is described in detail. The toxicological significance of particulate matter on human body was also mentioned. The mitigation, management and regulatory policies to control ambient particulate matter is also provided. This book is also written in simple language with helpful photographs, diagrams, tables and flowcharts which will make the reader comfortable in understanding the concepts a more relatively easier way. Overall, the present book is a valuable tool for students working in the fields of Atmospheric Science, Environmental Science, Biological Sciences, Epidemiology and Agriculture Science. This book also a unique resource for environmental consultants, researchers, policymakers and other professionals involved in air quality, plant and human health.
Author: Harris Papadopoulos Publisher: Springer ISBN: 3642411428 Category : Computers Languages : en Pages : 733
Book Description
This book constitutes the refereed proceedings of the 9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2013, held in Paphos, Cyprus, in September/October 2013. The 26 revised full papers presented together with a keynote speech at the main event and 44 papers of 8 collocated workshops were carefully reviewed and selected for inclusion in the volume. The papers of the main event are organized in topical sections on data mining, medical informatics and biomedical engineering, problem solving and scheduling, modeling and decision support systems, robotics, and intelligent signal and image processing.
Author: Mario Köppen Publisher: Springer ISBN: 3642030408 Category : Computers Languages : en Pages : 1108
Book Description
The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008. The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.
Author: Shigeo Abe Publisher: Springer Science & Business Media ISBN: 1447102851 Category : Computers Languages : en Pages : 332
Book Description
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers. Function approximation is also treated and function approximators are compared.
Author: Hélder Rodrigues Publisher: CRC Press ISBN: 1315732106 Category : Technology & Engineering Languages : en Pages : 1078
Book Description
Optimization methodologies are fundamental instruments to tackle the complexity of today's engineering processes. Engineering Optimization 2014 is dedicated to optimization methods in engineering, and contains the papers presented at the 4th International Conference on Engineering Optimization (ENGOPT2014, Lisbon, Portugal, 8-11 September 2014). The book will be of interest to engineers, applied mathematicians, and computer scientists working on research, development and practical applications of optimization methods in engineering.
Author: A.F. Nikolaides Publisher: CRC Press ISBN: 1351063251 Category : Technology & Engineering Languages : en Pages : 716
Book Description
Highway engineers are facing the challenge not only to design and construct sustainable and safe pavements properly and economically. This implies a thorough understanding of materials behaviour, their appropriate use in the continuously changing environment, and implementation of constantly improved technologies and methodologies. Bituminous Mixtures and Pavements VII contains more than 100 contributions that were presented at the 7th International Conference ‘Bituminous Mixtures and Pavements’ (7ICONFBMP, Thessaloniki, Greece 12-14 June 2019). The papers cover a wide range of topics: - Bituminous binders - Aggregates, unbound layers and subgrade - Bituminous mixtures (Hot, Warm and Cold) - Pavements (Design, Construction, Maintenance, Sustainability, Energy and environment consideration) - Pavement management - Pavement recycling - Geosynthetics - Pavement assessment, surface characteristics and safety - Posters Bituminous Mixtures and Pavements VII reflects recent advances in highway materials technology and pavement engineering, and will be of interest to academics and professionals interested or involved in these areas.
Author: Yunqian Ma Publisher: Springer Science & Business Media ISBN: 3319023004 Category : Technology & Engineering Languages : en Pages : 306
Book Description
Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector machine applications.
Author: Kranthi Kumar Reddy Mogireddy
Author: Kranthi Kumar Reddy Mogireddy
Author: Karpagam Tirumazhisai Manivannan
Author: Saurabh Sonwani
Author: Harris Papadopoulos
Author: Mario Köppen
Author: Shigeo Abe
Author: 
Author: Hélder Rodrigues
Author: A.F. Nikolaides
Author: Yunqian Ma