Development of Gray Level Co-occurrence Matrix Based Support Vector Machines for Particulate Matter Characterization PDF Download

Author: Karpagam Tirumazhisai Manivannan
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 86

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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: Kranthi Kumar Reddy Mogireddy
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 61

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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: Vikrant Bhateja
Publisher: Springer Nature
ISBN: 9819967066
Category : Technology & Engineering
Languages : en
Pages : 633

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Book Description
The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.

Author: J Dinesh Peter
Publisher: CRC Press
ISBN: 0429820496
Category : Computers
Languages : en
Pages : 264

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Book Description
Advances in Computerized Analysis in Clinical and Medical Imaging book is devoted for spreading of knowledge through the publication of scholarly research, primarily in the fields of clinical & medical imaging. The types of chapters consented include those that cover the development and implementation of algorithms and strategies based on the use of geometrical, statistical, physical, functional to solve the following types of problems, using medical image datasets: visualization, feature extraction, segmentation, image-guided surgery, representation of pictorial data, statistical shape analysis, computational physiology and telemedicine with medical images. This book highlights annotations for all the medical and clinical imaging researchers’ a fundamental advances of clinical and medical image analysis techniques. This book will be a good source for all the medical imaging and clinical research professionals, outstanding scientists, and educators from all around the world for network of knowledge sharing. This book will comprise high quality disseminations of new ideas, technology focus, research results and discussions on the evolution of Clinical and Medical image analysis techniques for the benefit of both scientific and industrial developments. Features: Research aspects in clinical and medical image processing Human Computer Interaction and interface in imaging diagnostics Intelligent Imaging Systems for effective analysis using machine learning algorithms Clinical and Scientific Evaluation of Imaging Studies Computer-aided disease detection and diagnosis Clinical evaluations of new technologies Mobility and assistive devices for challenged and elderly people This book serves as a reference book for researchers and doctoral students in the clinical and medical imaging domain including radiologists. Industries that manufacture imaging modality systems and develop optical systems would be especially interested in the challenges and solutions provided in the book. Professionals and practitioners in the medical and clinical imaging may be benefited directly from authors’ experiences.

Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0323886159
Category : Computers
Languages : en
Pages : 704

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Book Description
Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management addresses the need for a comprehensive book that focuses on multi-hazard assessments, natural and manmade hazards, and risk management using new methods and technologies that employ GIS, artificial intelligence, spatial modeling, machine learning tools and meta-heuristic techniques. The book is clearly organized into four parts that cover natural hazards, environmental hazards, advanced tools and technologies in risk management, and future challenges in computer applications to hazards and risk management. Researchers and professionals in Earth and Environmental Science who require the latest technologies and advances in hazards, remote sensing, geosciences, spatial modeling and machine learning will find this book to be an invaluable source of information on the latest tools and technologies available. Covers advanced tools and technologies in risk management of hazards in both the Earth and Environmental Sciences Details the benefits and applications of various technologies to assist researchers in choosing the most appropriate techniques for purpose Expansively covers specific future challenges in the use of computers in Earth and Environmental Science Includes case studies that detail the applications of the discussed technologies down to individual hazards

Author: Edmundas Kazimieras Zavadskas
Publisher: MDPI
ISBN: 3039210025
Category : Technology & Engineering
Languages : en
Pages : 198

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Book Description
A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers and, after a rigorous peer-review process, eight papers have been published in this Special Issue. The articles in this Printed Edition demonstrate how solutions in civil engineering, which bring economic, social, and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. Most approaches suggested decision models under uncertainty, proposing hybrid MCDM methods in combination with fuzzy or rough set theory, as well as D-numbers. The application areas of the proposed MCDM techniques mainly cover production/manufacturing engineering, logistics and transportation, and construction engineering and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.

Author: Brandon H. Boyle
Publisher:
ISBN: 9781612093420
Category : Support vector machines
Languages : en
Pages : 0

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Book Description
This book presents topical research in the study of support vector machines. Topics discussed include the support vector machine in medical imaging; monthly air pollution modeling using support vector machine techniques in Spain; support vector machines for image interpolation schemes in image zooming and color array interpolation; using SVM for the prediction of the ultimate capacity of driven piles in cohesionless soils; SVM in medical classification tasks and pattern recognition for machine fault diagnosis using support vector machines.

Author: Mireya Fernández-Chimeno
Publisher: Springer
ISBN: 3662444852
Category : Medical
Languages : en
Pages : 442

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2013, held in Barcelona, Spain, in February 2013. The 28 revised full papers presented were carefully reviewed and selected from a total of 392 submissions. The papers cover a wide range of topics and are organized in four general topical sections on biomedical electronics and devices; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics.

Author: Rajeev Sobti
Publisher: CRC Press
ISBN: 1040005462
Category : Computers
Languages : en
Pages : 744

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Book Description
The year 2022 marks the 100th birth anniversary of Kathleen Hylda Valerie Booth, who wrote the first assembly language and designed the assembler and auto code for the first computer systems at Birkbeck College, University of London. She helped design three different machines including the ARC (Automatic Relay Calculator), SEC (Simple Electronic Computer), and APE(X). School of Computer Science and Engineering, under the aegis of Lovely Professional University, pays homage to this great programmer of all times by hosting “BOOTH100”—6th International Conference on Computing Sciences.

Author: Shigeo Abe
Publisher: Springer Science & Business Media
ISBN: 1447102851
Category : Computers
Languages : en
Pages : 332

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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.