Throughout this book, a general model is constructed using Object-Oriented Architecture. Each chapter focuses on the construction of a specific part of this model, while in the conclusion these parts are unified. This book will help software engineers build more sophisticated personalized software that targets in mobile education, while at the same time retaining a high level of adaptivity and user-friendliness within human-mobile interaction.
The book includes a comprehensive review of representation systems, of arithmetic circuits implementing basic and more complex operations and of the residue number systems (RNS). It presents a study of basic algebraic circuits such as LFSRs and cellular automata as well as a study of circuits related to Galois fields, including two real cryptographic applications of Galois fields.
This research volume on Virtual, Augmented Reality and Serious Games for Healthcare 1 offers an insightful introduction to the theories, development and applications of virtual, augmented reality and digital games technologies in medical and clinical settings and healthcare in general. It is divided into six sections: section one presents a selection of applications in medical education and healthcare management; Section two relates to the nursing training, health literacy and healthy behaviour; Section three presents the applications of Virtual Reality in neuropsychology; Section four includes a number of applications in motor rehabilitation; Section five aimed at therapeutic games for various diseases; and the final section presents the applications of Virtual Reality in healing and restoration.
This book is directed to the healthcare professionals, scientists, researchers, professors and the students who wish to explore the applications of virtual, augmented reality and serious games in healthcare further.
During last fifty years we observed a decomposition of the old episteme (understood as a way of creating and interpreting knowledge characteristic for a given civilization epoch) of modernism, which was an episteme typical for industrial civilization. Today, the world is differently understood by the representatives of three different cultural spheres: of strict and natural sciences; of human and social sciences (especially by their part inclined towards postmodernism) and technical sciences that have a different episteme than even that of strict and natural sciences. Thus, we observe today not two cultures, but three different episteme.
The book consists of four parts. First contains basic epistemological observations, second is devoted to selected elements of recent history of information technologies, third contains more detailed epistemological and general discussions, fourth specifies conclusions. The book is written from the cognitive perspective of technical sciences, with a full awareness – and discussion – of its differences from the cognitive perspective of strict sciences or human and social sciences. The main thesis of the book is that informational revolution will probably lead to a formation of a new episteme.
The book includes discussions of many issues related to such general perspective, such as what is technology proper; what is intuition from a perspective of technology and of evolutionary naturalism; what are the reasons for and how large are the delays between a fundamental invention and its broad social utilization; what is the fundamental logical error (using paradoxes that are not real, only apparent) of the tradition of sceptical philosophy; what are rational foundations and examples of emergence of order out of chaos; whether civilization development based on two positive feedbacks between science, technology and the market might lead inevitably to a self-destruction of human civilization; etc.
This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.
· Morphological Image Analysis for Computer Vision Applications.
· Methods for Detecting of Structural Changes in Computer Vision Systems.
· Hierarchical Adaptive KL-based Transform: Algorithms and Applications.
· Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores.
· A Way of Energy Analysis for Image and Video Sequence Processing.
· Optimal Measurement of Visual Motion Across Spatial and Temporal Scales.
· Scene Analysis Using Morphological Mathematics and Fuzzy Logic.
· Digital Video Stabilization in Static and Dynamic Scenes.
· Implementation of Hadamard Matrices for Image Processing.
· A Generalized Criterion of Efficiency for Telecommunication Systems.
The book is directed to PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
The book is basically divided into three parts. The first part of the book covers the basic concepts and overviews of Brain Computer Interface. The second part describes new theoretical developments of BCI systems. The third part covers views on real applications of BCI systems.
· Human Action Recognition: Contour-Based and Silhouette-based Approaches.
· The Application of Machine Learning Techniques to Real Time Audience Analysis System.
· Panorama Construction from Multi-view Cameras in Outdoor Scenes.
· A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control.
· Perception of Audio Visual Information for Mobile Robot Motion Control Systems.
· Adaptive Surveillance Algorithms Based on the Situation Analysis.
· Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation.
· Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing.
· Efficient Denoising Algorithms for Intelligent Recognition Systems.
· Image Segmentation Based on Two-dimensional Markov Chains.
The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.
· Conceptual: contains conceptual works oriented to: (1) review models of strategy instruction and tailor a hybrid strategy; (2) unveil second-order judgments and define a method to assess metacognitive judgments; (3) introduces a conceptual model to describe the metacognitive activity as an autopoietic system.
· Framework: offers three works concerned with: (4) stimulate metacognitive skills and self-regulatory functions; (5) evaluate metacognitive skills and self-regulated learning at problem solving; (6) deal with executive management metacognition and strategic knowledge metacognition.
· Studies: reports research related to: (7) uncover how metacognitive awareness of listening strategies bias listening proficiency; (8) unveil how metacognitive skills and motivation are achieved in science informal learning; (9) tackle stress at learning by means of coping strategies.
· Approaches: focus on the following targets: (10) social metacognition to support collaborative problem solving; (11) metacognitive skills to be stimulated in computer supported collaborative learning; (12) metacognitive knowledge and metacognitive experiences are essential for teaching practices.
· Tools: promotes the use of intelligent tutoring systems such as: (13) BioWorld allows learners to practice medical diagnostic by providing virtual patient cases; (14) MetaHistoReasoning provides examples to learners and inquiries about the causes of historical events.
This volume will be a source of interest for researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and finding targets for future work in the metacognition arena.
Experimental results are given in detail both in tabular and visualized form for fourteen data sets from UCI data repository. A striking feature of granular classifiers obtained by this approach is that preserving the accuracy of them on original data, they reduce substantially the size of the granulated data set as well as the set of granular decision rules. This feature makes the presented approach attractive in cases where a small number of rules providing a high classification accuracy is desirable. As basic algorithms used throughout the text are explained and illustrated with hand examples, the book may also serve as a textbook.
· Influence of the culture in risk management,
· Influence of the risk communication in risk management,
· User-centred design to improve risk situation management,
· Designing new tools to assist risk situation management,
· Risk prevention in industrial activities.
This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations.
This book is designated for scholars, practitioners and doctoral and master’s degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities for the practical use of biometric and intelligent decision making support.
This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters.
Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.