The current volume New Advances in Intelligent Signal Processing contains extended works based on a careful selection of papers presented originally at the jubilee sixth IEEE International Symposium on Intelligent Sig...
ISBN:
(数字)9783642117398
ISBN:
(纸本)9783642117381
The current volume New Advances in Intelligent Signal Processing contains extended works based on a careful selection of papers presented originally at the jubilee sixth IEEE International Symposium on Intelligent Signal Processing (WISP2009), held in Budapest Hungary, August 26-28, 2009 - celebrating the 10 years anniversary of the WISP event series. The present book does not intent to be an overall survey on the fields of interest of the area, but tries to find topics which represent new, hot, and challenging problems. The book begins with papers investigating selected problems of Modeling, Identification, and Clustering such as fuzzy random variables, evolutionary multi-objective neural network models, a structural learning model of neural networks within a Boltzmann machine, a robust DNA-based clustering techniques, and the advances of combining multi-criteria analysis of signals and pattern recognition using machine learning principles. In the second part of the book Image Processing is treated. The carefully edited chapters deal with fuzzy relation based image enhancement, image contrast control technique based on the application of ukasiewicz algebra operators, low complexity situational models of image quality improvement, flexible representation of map images to quantum computers, and object recognition in images. The last chapter presents an image processing application for elderly care, performing real-time 3D tracking based on a new evaluative multi-modal algorithm.
This book focuses on next generation data technologies in support of collective and computationalintelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, ...
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ISBN:
(数字)9783642203442
ISBN:
(纸本)9783642203435
This book focuses on next generation data technologies in support of collective and computationalintelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data made available from various community users in a meaningful and collaborative for the organization manner. A unique perspective on collective computationalintelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computationalintelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computationalintelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.
This book is a continuation of our previous volumes on Innovations in Defence Support Systems. This book includes a sample of recent advances in intelligent monitoring. The contributions include: Data fusion in modern...
ISBN:
(数字)9783642182785
ISBN:
(纸本)9783642182778
This book is a continuation of our previous volumes on Innovations in Defence Support Systems. This book includes a sample of recent advances in intelligent monitoring. The contributions include: Data fusion in modern surveillance Distributed intelligent surveillance systems modeling for performance evaluation Incremental learning on trajectory clustering Pedestrian speed profiles from video sequence System-wide tracking of individuals A scalable approach based on normality components for intelligent surveillance Distributed camera overlap estimation Multi-robot team for environmental monitoringThe book is directed to the security experts, engineers, scientists, students and professors who are interested in intelligent monitoring.
Volunteer computing is a computing paradigm in which the operations of a large-scale application are processed by idle resources of Internet-connected computers. The redundant-work distribution techniques are mainly u...
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ISBN:
(纸本)9783642213748
Volunteer computing is a computing paradigm in which the operations of a large-scale application are processed by idle resources of Internet-connected computers. The redundant-work distribution techniques are mainly used to exclude the malicious participants in the volunteer computing environment. However, the techniques cause some problems like delay of the work completion time or inefficiency of the work execution due to continuous requests of the work redistribution which arise from the reason that the techniques do not consider the characteristics of works and dynamic resources. To cope with such problems this paper suggests a regional matchmaking technique which can redistribute works in consideration of the characteristics of the works and the participant resources.
Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding is a major research theme in CSCL and CSCW research community. This book presents up-to-date research approaches for developing technology-e...
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ISBN:
(数字)9783642198144
ISBN:
(纸本)9783642198137
Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding is a major research theme in CSCL and CSCW research community. This book presents up-to-date research approaches for developing technology-enhanced systems and tools to support functional online collaborative learning and work settings. It comprises a variety of research topics that span from the study of frameworks and infrastructures that foster collaborative learning and work through the application of different methods (distributed e-learning repositories, content creation and customization, social networks, collaborative ontologies building, and educational games) to the use of personalization and adaptation techniques to support the development of more powerful e-collaboration settings, including methodologies and tools for analyzing students' interactions with the aim to increase students' collaborative behaviors, performance and group organization. Researchers will find in this book the latest trends in these research topics, which gives them the opportunity to deepen further on the above issues and to extend their knowledge to other areas. Academics will find practical insights on how to use conceptual and experimental approaches in their daily tasks. Developers from CSCL community can be inspired and put in practice the proposed models and evaluate them for the specific purposes of their own work and context.
This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine ...
ISBN:
(数字)9783642229107
ISBN:
(纸本)9783642229091
This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2010, Barcelona, Catalonia, Spain). As its two predecessors, its main theme was ensembles of supervised and unsupervised algorithms advanced machine learning and data mining technique. Unlike a single classification or clustering algorithm, an ensemble is a group of algorithms, each of which first independently solves the task at hand by assigning a class or cluster label (voting) to instances in a dataset and after that all votes are combined together to produce the final class or cluster membership. As a result, ensembles often outperform best single algorithms in many real-world problems. This book consists of 14 chapters, each of which can be read independently of the others. In addition to two previous SUEMA editions, also published by Springer, many chapters in the current book include pseudo code and/or programming code of the algorithms described in them. This was done in order to facilitate ensemble adoption in practice and to help to both researchers and engineers developing ensemble applications.
Chaos-based cryptography, attracting many researchers in the past decade, is a research field across two fields, i.e., chaos (nonlinear dynamic system) and cryptography (computer and data security). It Chaos' prop...
ISBN:
(数字)9783642205422
ISBN:
(纸本)9783642205415
Chaos-based cryptography, attracting many researchers in the past decade, is a research field across two fields, i.e., chaos (nonlinear dynamic system) and cryptography (computer and data security). It Chaos' properties, such as randomness and ergodicity, have been proved to be suitable for designing the means for data *** book gives a thorough description of chaos-based cryptography, which consists of chaos basic theory, chaos properties suitable for cryptography, chaos-based cryptographic techniques, and various secure applications based on chaos. Additionally, it covers both the latest research results and some open issues or hot topics. The book creates a collection of high-quality chapters contributed by leading experts in the related fields. It embraces a wide variety of aspects of the related subject areas and provide a scientifically and scholarly sound treatment of state-of-the-art techniques to students, researchers, academics, personnel of law enforcement and IT practitioners who are interested or involved in the study, research, use, design and development of techniques related to chaos-based cryptography.
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