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Author: Jonas Persson Publisher: DIANE Publishing ISBN: 9780788101588 Category : Technology & Engineering Languages : en Pages : 68
Book Description
Abstract: "In geographical information systems (GIS), the need for hierarchically organized data structures has evolved. The reason for this stems from the fact that the map information usually is extremely large and that low resolution maps in most applications require less heavy computations than maps represented in higher resolutions. Hierarchical spatial data structures for generation of maps in lower resolutions already exist, e.g. quad-trees and resolution pyramids. Many other spatial data structures that are non-hierarchical do not permit the generation of resolution hierarchies like the two above. One such structure is the run- length code (RLC), which has many powerful advantages that make the structure feasible in a GIS. For that reason a method for generation of resolution hierarchies based on RLC is needed. In this work an approach to the problem of generating a resolution hierarchy from RLC is described and discussed. A generalisation method based on recursive polygon approximation is described in detail."
Author: Jonas Persson Publisher: DIANE Publishing ISBN: 9780788101588 Category : Technology & Engineering Languages : en Pages : 68
Book Description
Abstract: "In geographical information systems (GIS), the need for hierarchically organized data structures has evolved. The reason for this stems from the fact that the map information usually is extremely large and that low resolution maps in most applications require less heavy computations than maps represented in higher resolutions. Hierarchical spatial data structures for generation of maps in lower resolutions already exist, e.g. quad-trees and resolution pyramids. Many other spatial data structures that are non-hierarchical do not permit the generation of resolution hierarchies like the two above. One such structure is the run- length code (RLC), which has many powerful advantages that make the structure feasible in a GIS. For that reason a method for generation of resolution hierarchies based on RLC is needed. In this work an approach to the problem of generating a resolution hierarchy from RLC is described and discussed. A generalisation method based on recursive polygon approximation is described in detail."
Author: Qingsong Xu Publisher: John Wiley & Sons ISBN: 111913143X Category : Technology & Engineering Languages : en Pages : 294
Book Description
An innovative and timely guide to the modeling, design and implementation of large-range compliant micropositioning systems based on flexure hinges Features innovative compact mechanism designs for large-range translational and rotational positioning Provides original and concise treatment of various flexure hinges with well-presented design and control methods Focuses on design implementation and applications through detailed examples
Author: Charu C. Aggarwal Publisher: CRC Press ISBN: 1315360411 Category : Business & Economics Languages : en Pages : 654
Book Description
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.
Author: Yu-Jin Zhang Publisher: Springer Nature ISBN: 9811558736 Category : Computers Languages : en Pages : 1963
Book Description
Image techniques have been developed and implemented for various purposes, and image engineering (IE) is a rapidly evolving, integrated discipline comprising the study of all the different branches of image techniques, and encompassing mathematics, physics, biology, physiology, psychology, electrical engineering, computer science and automation. Advances in the field are also closely related to the development of telecommunications, biomedical engineering, remote sensing, surveying and mapping, as well as document processing and industrial applications. IE involves three related and partially overlapping groups of image techniques: image processing (IP) (in its narrow sense), image analysis (IA) and image understanding (IU), and the integration of these three groups makes the discipline of image engineering an important part of the modern information era. This is the first handbook on image engineering, and provides a well-structured, comprehensive overview of this new discipline. It also offers detailed information on the various image techniques. It is a valuable reference resource for R&D professional and undergraduate students involved in image-related activities.
Author: Jie Shao Publisher: Springer ISBN: 3030260720 Category : Computers Languages : en Pages : 446
Book Description
This two-volume set, LNCS 11641 and 11642, constitutes the thoroughly refereed proceedings of the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China, in August 2019. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval; Knowledge Graph; Machine Learning; Recommender Systems; Storage, Indexing and Physical Database Design; Spatial, Temporal and Multimedia Databases; Text Analysis and Mining; and Demo.
Author: Manjunath V. Joshi Publisher: Cambridge University Press ISBN: 1108683045 Category : Computers Languages : en Pages : 258
Book Description
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.
Author: Gordon L. Stüber Publisher: Springer ISBN: 3319556150 Category : Technology & Engineering Languages : en Pages : 732
Book Description
This mathematically rigorous overview of physical layer wireless communications is now in a 4th, fully revised and updated edition. The new edition features new content on 4G cellular systems, 5G cellular outlook, bandpass signals and systems, and polarization, among many other topics, in addition to a new chapters on channel assignment techniques. Along with coverage of fundamentals and basic principles sufficient for novice students, the volume includes finer details that satisfy the requirements of graduate students aiming to conduct in-depth research. The book begins with a survey of the field, introducing issues relevant to wireless communications. The book moves on to cover relevant discrete subjects, from radio propagation, to error probability performance, and cellular radio resource management. An appendix provides a tutorial on probability and random processes. The content stresses core principles that are applicable to a broad range of wireless standards. New examples are provided throughout the book to better explain the more complex material to the reader. Additional problems have also been added to those already appearing at the ends of the chapters to make the book more suitable for course instruction.
Author: Cesare Alippi Publisher: Springer Science & Business Media ISBN: 3642042732 Category : Computers Languages : en Pages : 1062
Book Description
This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc.
Author: Gary Tan Publisher: Springer ISBN: 3642450377 Category : Computers Languages : en Pages : 621
Book Description
This book constitutes the refereed proceedings of the 13th International Conference on Systems Simulation, Asia Simulation 2013, held in Singapore, in November 2013. The 45 revised full papers presented together with 18 short papers were carefully reviewed and selected from numerous submissions. The papers address issues such as agent based simulation, scheduling algorithms, simulation methods and tools, simulation and visualization, modeling methodology, simulation in science and engineering, high performance computing and simulation and parallel and distributed simulation.
Author: Jonas Persson
Author: Jonas Persson
Author: Qingsong Xu
Author: Charu C. Aggarwal
Author: Yu-Jin Zhang
Author: Jie Shao
Author: Colin Chen
Author: Manjunath V. Joshi
Author: Gordon L. Stüber
Author: Cesare Alippi
Author: Gary Tan