Download or read book Feature Extraction from CAD Using Artificial Intelligence written by Vijay Saini and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of solid modeling has developed a variety of techniques for unambiguous representations of three-dimensional objects. Feature recognition is a sub-discipline of solid modeling that focuses on the design and implementation of algorithms for detecting manufacturing information from solid models produced by computer-aided design (CAD) systems. Examples of this manufacturing information include features such as holes, slots, pockets, steps and other shapes that can be created on modern computer numerically controlled machining systems. Feature recognition has been an interesting research area in solid modeling for a few decades and is considered to be a critical link for integration of CAD and CAM. It is a necessary component of an integrated Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) environment to automatically recognize manufacturing features from a CAD data base or solid model. In this book a methodology for recognizing some of the machining features has been presented. The computational issues involved in building tractable and scalable solutions for automated feature recognition have also been addressed.
Download or read book A Feature Extraction Interface for CAD Part Models written by David R. Nitschke and published by . This book was released on 1991 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automatic Feature Extraction from Conventional CAD Model to Support Feature based Design Approach for the Sheet Metal Stamping Industries written by Thakar Dipak P. and published by . This book was released on 1994 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AI Applications in Sheet Metal Forming written by Shailendra Kumar and published by Springer. This book was released on 2016-10-25 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises chapters on research work done around the globe in the area of artificial intelligence (AI) applications in sheet metal forming. The first chapter offers an introduction to various AI techniques and sheet metal forming, while subsequent chapters describe traditional procedures/methods used in various sheet metal forming processes, and focus on the automation of those processes by means of AI techniques, such as KBS, ANN, GA, CBR, etc. Feature recognition and the manufacturability assessment of sheet metal parts, process planning, strip-layout design, selecting the type and size of die components, die modeling, and predicting die life are some of the most important aspects of sheet metal work. Traditionally, these activities are highly experience-based, tedious and time consuming. In response, researchers in several countries have applied various AI techniques to automate these activities, which are covered in this book. This book will be useful for engineers working in sheet metal industries, and will serve to provide future direction to young researchers and students working in the area.
Download or read book Framework of Feature Extraction for Three Dimensional Computer Aided Design CAD Objects written by Zuraini Sukimin and published by . This book was released on 2011 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Feature Representation and Extraction in CAD Models for Manufacturing written by Mohan S. Devgun and published by . This book was released on 1989 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Recognition of 3D Objects Using a CAD Database written by Shekhar Mehta and published by . This book was released on 1988 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book High Level CAD Model Acquisition from Range Images written by Andrew W. Fitzgibbon and published by . This book was released on 1995 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Automatic extraction of CAD descriptions which are ultimately intended for human manipulation requires the accurate inference of geometric and topological information. We present a system which applies segmentation techniques from computer vision to automatically extract CAD models from range images of parts with curved surfaces. The output of the system is a B-rep of the object which is suitable for further manipulation in a modelling system. The segmentation process is an improvement upon Besl and Jain's variable-order surface fitting, extracting general quadric surfaces and planes from the data, with a postprocessing stage to identify surface intersections and to extract a B- rep from the segmented image. We present results on a variety of machined objects, which illustrate the high-level nature of the acquired models, and discuss the numerical accuracy (feature sizes and separations) and the correctness of structural inferences of the system."
Download or read book Artificial Intelligence Theory Models and Applications written by P Kaliraj and published by CRC Press. This book was released on 2021-10-21 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.
Download or read book Extraction of Feature Information from Three Dimensional CAD Data written by Mark Richard Henderson and published by . This book was released on 1985 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parametric and Feature Based CAD CAM written by Jami J. Shah and published by John Wiley & Sons. This book was released on 1995-11-03 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is the complete introduction and applications guide to this new technology. This book introduces the reader to features and gives an overview of geometric modeling techniques, discusses the conceptual development of features as modeling entities, illustrates the use of features for a variety of engineering design applications, and develops a set of broad functional requirements and addresses high level design issues.
Download or read book Boundary based Approach for the Extraction of Form Features from Computer Aided Design CAD Models written by Srinivas Emani and published by . This book was released on 1998 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature models represent parts in terms of high level, functionally significant entities such as holes, slots or pockets. Features can provide an additional layer of information in advanced Computer-Aided Design (CAD) systems to make them more useful for design and to integrate design with down stream applications. Feature extraction is the process of identifying feature information from the CAD models without comparing it with any predefined features' instances. This thesis deals with the development of a sequential form feature extraction procedure. A form feature is defined as a geometric formation on an object which can be associated with design/manufacturing information. There exist two main approaches to the identification of form-feature information from a CAD model. The first approach, feature recognition, requires a pre-defined instance of the form feature to be recognized.
Download or read book Artificial Intelligence in Medical Imaging written by Lia Morra and published by CRC Press. This book was released on 2019-11-25 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective
Download or read book Computer Aided Design Engineering and Manufacturing written by Cornelius T. Leondes and published by CRC Press. This book was released on 2000-12-12 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the competitive business arena companies must continually strive to create new and better products faster, more efficiently, and more cost effectively than their competitors to gain and keep the competitive advantage. Computer-aided design (CAD), computer-aided engineering (CAE), and computer-aided manufacturing (CAM) are now the industry standard. These seven volumes give the reader a comprehensive treatment of the techniques and applications of CAD, CAE, and CAM.
Download or read book Artificial Intelligence and Pattern Recognition in Computer Aided Design written by Jean-Claude Latombe and published by North-Holland. This book was released on 1978 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Application of Artificial Intelligence in Early Detection of Lung Cancer written by Madhuchanda Kar and published by Elsevier. This book was released on 2024-05-17 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling. This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer. Provides an overview of the latest developments of artificial intelligence technologies applied to the detection of pulmonary nodules Discusses the different technologies available and guides readers step-by-step to the most applicable one for the specific lung cancer type Describes the entire study design on prediction of lung cancer to help readers apply it to their research successfully
Download or read book Machine Learning and AI Techniques in Interactive Medical Image Analysis written by Panigrahi, Lipismita and published by IGI Global. This book was released on 2022-09-16 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.
