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Human-Centric Information Processing Through Granular Modelling, Andrzej Bargiela; Witold Pedrycz


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Автор: Andrzej Bargiela; Witold Pedrycz
Название:  Human-Centric Information Processing Through Granular Modelling
ISBN: 9783642100925
Издательство: Springer
Классификация: ISBN-10: 3642100929
Обложка/Формат: Paperback
Страницы: 412
Вес: 0.58 кг.
Дата издания: 2009
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 21
Читательская аудитория: Science
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: Information granules and their processing permeate a way in which we perceive the world, carryout processing at the conceptual (abstract) level, and communicate our findings to the surrounding environment. The importance of information granulation becomes even more apparent when we are faced with a rapidly growing flood of data, become challenged to make decisions in complex data settings and are required to appreciate the context from which the data is derived. Human centricity of systems that claim to be intelligent and the granular computing come hand in hand. It is not surprising at all to witness that the paradigm of Granular Computing has started to gain visibility and continues along this path by gathering interest from the circles of academics and practitioners. It is quite remarkable that the spectrum of application and research areas that have adopted information granulation as a successful strategy for dealing with information complexity covers such diverse fields as bioinformatics, image understanding, environmental monitoring, urban sustainability, to mention few most visible in the literature. Undoubtedly, there are two important aspects of Granular Computing that are worth stressing. First, there are several formalisms in which information granules are articulated so be intervals (sets), fuzzy sets, rough sets, soft sets, approximate sets, near sets and alike. They are complementary and each of them offers some interesting views at the complexity of the world and cyberspace.


Shapes and Dynamics of Granular Minor Planets

Автор: Sharma
Название: Shapes and Dynamics of Granular Minor Planets
ISBN: 331940489X ISBN-13(EAN): 9783319404899
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

This book develops a general approach that can be systematically refined to investigate the statics and dynamics of deformable solid bodies. These methods are then employed to small bodies in the Solar System. With several space missions underway and more being planned, interest in our immediate neighbourhood is growing. In this spirit, this book investigates various phenomena encountered in planetary science, including disruptions during planetary fly-bys, equilibrium shapes and stability of small rubble bodies, and spin-driven shape changes. The flexible procedure proposed here will help readers gain valuable insights into the mechanics of solar system bodies, while at the same time complementing numerical investigations. The technique itself is built upon the virial method successfully employed by Chandrasekhar (1969) to study the equilibrium shapes of spinning fluid objects. However, here Chandrasekhar’s approach is modified in order to study more complex dynamical situations and include objects of different rheologies, e.g., granular aggregates, or “rubble piles”. The book is largely self-contained, though some basic familiarity with continuum mechanics will be beneficial.
User-Centric and Information-Centric Networking and Services

Автор: Krishna, M. Bala||
Название: User-Centric and Information-Centric Networking and Services
ISBN: 1138633321 ISBN-13(EAN): 9781138633322
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: This book presents the basic concepts of User-Centric Networks (UCN) and Information-Centric Networks (ICN) , describes the main architecture proposals for these networks, and discusses the main challenges to their development.

A Feature-Centric View of Information Retrieval

Автор: Donald Metzler
Название: A Feature-Centric View of Information Retrieval
ISBN: 3642270174 ISBN-13(EAN): 9783642270178
Издательство: Springer
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Цена: 13275.00 р.
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Описание: In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model.

Traffic and Granular Flow `15

Автор: Victor L. Knoop; Winnie Daamen
Название: Traffic and Granular Flow `15
ISBN: 3319334816 ISBN-13(EAN): 9783319334813
Издательство: Springer
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Цена: 27950.00 р.
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Описание: The Conference on Traffic and Granular Flow brings togetherinternational researchers from different fields ranging from physics tocomputer science and engineering to discuss the latest developments intraffic-related systems. Originally conceived to facilitate new ideas byconsidering the similarities of traffic and granular flow, TGF'15, organised byDelft University of Technology, now covers a broad range of topics related todriven particle and transport systems. Besides the classical topics of granularflow and highway traffic, its scope includes data transport (Internet traffic),pedestrian and evacuation dynamics, intercellular transport, swarm behaviourand the collective dynamics of other biological systems. Recent advances inmodelling, computer simulation and phenomenology are presented, and prospectsfor applications, for example to traffic control, are discussed. The conferenceexplores the interrelations between the above-mentioned fields and offers theopportunity to stimulate interdisciplinary research, exchange ideas, and meetmany experts in these areas of research.

Granular Materials at Meso-scale

Автор: Cambou, Bernard
Название: Granular Materials at Meso-scale
ISBN: 1785480650 ISBN-13(EAN): 9781785480652
Издательство: Elsevier Science
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Цена: 11620.00 р.
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Описание:

Granular Materials at Meso-scale: Towards a Change of Scale Approach proposes a new way for developing an efficient change of scale--considering a meso-scale defined at the level of local arrays of particles. The change of scale is known to be a very interesting way to improve the modelling of mechanical behavior granular materials. In the past, studies have been proposed using a micro-scale at the grain level to perform change of scale, but limitations have been proven for these approaches.

Definition and analysis of the phases are detailed, constituted by sets of meso-domains sharing the same texture characteristics. The authors propose a local constitutive model for the phases, allowing the constitutive model of the representative elementary volume to be definied from a change-of-scale approach and, finally, presenting the validation of obtained modeling on cyclic loadings.


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