Download or read book in fusion Approach written by Ranjan Ghosh and published by University Press of America. This book was released on 2006 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: (In)fusion theory challenges efforts to see theory as inhibiting by presenting an approach that is innovative, eclectic, and subtle in order to draw out competing and constellating ideas and opinions. This collected volume of essays examines (In)fusion theory and demonstrates how the theory can be applied to the reading of various works of Indian English novelists.
Download or read book Adaptive Modelling Estimation and Fusion from Data written by Chris Harris and published by Springer Science & Business Media. This book was released on 2002-05-13 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are illustrated with benchmark examples to demonstrate their efficiency. The book aims at researchers and advanced professionals in time series modelling, empirical data modelling, knowledge discovery, data mining and data fusion.
Download or read book Extreme Lateral Interbody Fusion XLIF written by J. Allan Goodrich and published by Quality Medical Publishing. This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Systems Approaches to Nuclear Fusion Reactors written by Frederick B. Marcus and published by Springer Nature. This book was released on 2023-01-01 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an overall review, applying systems engineering and architecture approaches, of the design, optimization, operation and results of leading fusion experiments. These approaches provide a unified means of evaluating reactor design. Methodologies are developed for more coherent construction or evaluation of fusion devices, associated experiments and operating procedures. The main focus is on tokamaks, with almost all machines and their important results being integrated into a systems design space. Case studies focus on DIII-D, TCV, JET, WEST, the fusion reactor prototype ITER and the EU DEMO concept. Stellarator, Mirror and Laser inertial confinement experiments are similarly analysed, including reactor implications of breakeven at NIF. The book examines the engineering and physics design and optimization process for each machine, analysing their performance and major results achieved, thus establishing a basis for the improvement of future machines. The reader will gain a broad historical and up-to-date perspective of the status of nuclear fusion research from both an engineering and physics point of view. Explanations are given of the computational tools needed to design and operate successful experiments and reactor-relevant machines. This book is aimed at both graduate students and practitioners of nuclear fusion science and engineering, as well as those specializing in other fields demanding large and integrated experimental equipment. Systems engineers will obtain valuable insights into fusion applications. References are given to associated complex mathematical derivations, which are beyond the scope of this book. The general reader interested in nuclear fusion will find here an accessible summary of the current state of nuclear fusion.
Download or read book Recent Developments in Fusion Energy Research written by United States. Congress. House. Committee on Science, Space, and Technology and published by . This book was released on 1989 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Intelligent Data Analysis XVIII written by Michael R. Berthold and published by Springer. This book was released on 2020-04-02 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
Download or read book An Approach for Full Reinforcement based Biometric Score Fusion written by Mohamed Cheniti and published by Infinite Study. This book was released on 2024-01-01 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multibiometric systems have the potential to mitigate error rates and address certain inherent weaknesses found in unimodal systems. This study introduces an innovative scheme for user recognition in multibiometric systems, centered on a score-level fusion framework. The foundation of this framework lies in the full reinforcement operator (FRO), specifically estimating FRO through generator functions associated with triangular norms (T-norms and T-conorm). The efficiency of the proposed method has been showcased through an extensive set of experiments carried out on four commonly available benchmark databases: all three partitions of the National Institute of Standards and Technology (NIST) databases (Set 1, 2, 3), along with the XM2VTS database. Our method achieves superior accuracy compared to existing methods, reaching 100 % recognition on NIST-Set 1, 93.40 % on NIST-Set 2, and 94.54 % on the more challenging NIST-Set 3. The experimental findings illustrate that score fusion schemes based on FRO not only enhance verification rates when compared to current score-level fusion techniques (such as Asymmetric Aggregation Operators, Minimum, Maximum, T-norms, and Symmetric-Sum) but also offer a swift computational performance.
Download or read book Multi resolution Image Fusion in Remote Sensing written by Manjunath V. Joshi and published by Cambridge University Press. This book was released on 2019-01-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super resolution and multi stage guided filters. It includes in depth analysis on degradation estimation, Gabor Prior and Markov Random Field (MRF) Prior. Concepts such as guided filter and difference of Gaussian are discussed comprehensively. Novel techniques in multi-resolution fusion by making use of regularization are explained in detail. It also includes different quality assessment measures used in testing the quality of fusion. Real-life applications and plenty of multi-resolution images are provided in the text for enhanced learning.
Download or read book IMAGE QUALITY ENHANCEMENT USING FUSION TECHNIQUE written by KAPIL JOSHI and published by Book Rivers. This book was released on 2022-01-02 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Lumbar Interbody Fusion written by Paul M. Lin and published by . This book was released on 1989 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Remote Sensing Image Fusion written by Christine Pohl and published by CRC Press. This book was released on 2016-10-03 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world.?The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.
Download or read book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing written by Ni-Bin Chang and published by CRC Press. This book was released on 2018-02-21 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Information Fusion Under Consideration of Conflicting Input Signals written by Uwe Mönks and published by Springer. This book was released on 2016-11-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the μBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. In addition, a sensor defect detection method, which is based on the continuous monitoring of sensor reliabilities, is presented. The performances of the contributions are shown by their evaluation in the scope of both a publicly available data set and a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms.
Download or read book Fusion Fitness written by Chan Ling Yap and published by Turner Publishing Company. This book was released on 2003-03-28 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over 25 years, the author has studied a wide range of disciplines including yoga, Pilates, the Alexander Technique, callanetics, and Chinese martial arts. Focusing on exercises that integrate the best and safest elements from these disciplines, she presents a balanced exercise regimen for optimum strength, endurance, coordination, and cardiovascular fitness. Dozens of photos, illustrations and charts are included as well as a chapter for exercisers over 50.
Download or read book Geo Informatics in Resource Management and Sustainable Ecosystem written by Fuling Bian and published by Springer. This book was released on 2015-02-04 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the Second International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2014, held in Ypsilanti, MI, China, in December 2014. The 73 papers presented were carefully reviewed and selected from 296 submissions. The papers are divided into topical sections on smart city in resource management and sustainable ecosystem; spatial data acquisition through RS and GIS in resource management and sustainable ecosystem; ecological and environmental data processing and management; advanced geospatial model and analysis for understanding ecological and environmental process; applications of geo-informatics in resource management and sustainable ecosystem.
Download or read book Multisensor Data Fusion written by Hassen Fourati and published by CRC Press. This book was released on 2017-12-19 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.
Download or read book Object oriented Development written by Derek Coleman and published by . This book was released on 1994 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume shows how to use an object-oriented analysis and design methodology that synthesizes the best features of the most popular methods Rumbaugh, Booch, etc.
