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Management of Converged Multimedia Networks and Services ; 11th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services, MMNS 2008, Samos Island, Greece, September 22-26, 2008. Proceedings
This volume presents the proceedings of the 11th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services (MMNS 2008), which was held on Samos, Greece during September 22–26 as part of the 4th International Week on Management of Networks and Services (Manweek 2008). As in the previous three years, the Manweek umbrella - lowed an international audience of researchers and scientists from industry and academia – who are researching and developing management systems – to share views and ideas and present their state-of-the-art results. The other events co-located with Manweek 2008 were the 19th IFIP/IEEE International Workshop on Distributed Systems.
Maintenance of Process Instrumentation in Nuclear Power Plants
The resurgence of the nuclear power industry at a time when the nuclear plant I&C workforce is diminishing due to aging and retirements has been the motivation for writing this book. This book compiles 30 years of practical knowledge gained by the author and his staff in testing the I&C systems of nuclear power plants around the world. It focuses on process temperature and pressure sensors and the verification of these sensors’ calibration and response time.
Machine Learning for Cyber Security ; 3rd International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part II
Constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
Machine learning and data mining for sports analytics ; 7th international workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
Constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Low Power Uwb Cmos Radar Sensors
Low Power UWB CMOS Radar Sensors deals with the problem of designing low cost CMOS radar sensors. The radar sensor uses UWB signals in order to obtain a reasonable target separation capability, while maintaining a maximum signal frequency below 2 GHz. This maximum frequency value is well within the reach of current CMOS technologies. The use of UWB signals means that most of the methodologies used in the design of circuits and systems that process narrow band signals, can no longer be applied. Low Power UWB CMOS Radar Sensors provides an analysis between the interaction of UWB signals, the antennas and the processing circuits.
Location Based Services and TeleCartography
Provides for the first time a general overview of research activities related to location and map-based services. These activities have emerged over the last years, especially around issues of positioning, spatial modelling, cartographic communication as well as in the fields of ubiquitious cartography, geo-pervasive services, user-centered modelling and geo-wiki activities. Topics cover an enormous range with heterogenous relationships to the main book issues. Whilst contemporary cartography aims at looking at new and efficient ways for communicating spatial information the development and availability of technologies like mobile networking, mobile devices or short-range sensors lead to interesting new possibilities for achieving this aim.
Location- and Context-Awareness ; Vol. 3987 ; 2nd International Workshop, LoCA 2006, Dublin, Ireland, May 10-11, 2006, Proceedings
Contain the papers presented at the 2 International Workshop on Location- and Context-Awareness in May of 2006. As computing moves increasingly into the everyday world, the importance of location and context knowledge grows. The range of contexts encountered while sitting at a desk working on a computer is very limited compared to the large variety of situations experienced away from the desktop. For computing to be relevant and useful in these situations, the computers must have knowledge of the user’s activity, resources, state of mind, and goals, i.e., the user’s context, of which location is an important indicator. This workshop was intended to present research aimed at sensing, inferring, and using location and context data in ways that help the user.
Location- and Context-Awareness ; Vol. 3479 ; First International Workshop, LoCA 2005, Oberpfaffenhofen, Germany, May 12-13, 2005, Proceedings
The workshop was organized by the Institute of Communications and Navigation of the German Aerospace Center (DLR) in Oberpfa?enhofen, and the Mobile and Distributed Systems Group of the University of Munich. During the workshop, novel positioning algorithms and location sensing techniques were discussed, comprising not only enhancements of singular systems, like positioning in GSM or WLAN, but also hybrid technologies, such as the integration of global satellite systems with inertial positioning. Furthermore, improvements in sensor technology, as well as the integration and fusion of sensors, were addressed both on a theoretical and on an implementation level. Personal and confidential data, such as location data of users, have p- found implications for personal information privacy. Thus privacy protection, privacy-oriented location-aware systems, and how privacy aspects the feasibility and usefulness of systems were also addressed in the workshop.
Life in Extreme Environments
Investigating life processes under extreme conditions can also bring clues for understanding and predicting ecosystems' responses to global changes. Furthermore, this area of research has a wide application potential in the fields of (bio)technoloty, chemical industry, pharmaceutics, biomedicine or cosmetics.
Les douleurs abdominales en questions : Rôle physiopathologique de la sensibilité viscérale = Abdominal pain in question : The pathophysiological role of visceral sensitivity
The gut-brain axis refers to the network of nerve pathways that connect the myenteric plexus, the veritable "gut brain," to the central nervous system. Nearly 80% of these neurons are sensory neurons, and the afferent pathways that transmit information from the digestive tract to the central nervous system play a crucial role in the physiological regulation of digestive functions, as well as in certain pathological conditions. A large majority of these sensations remain unconscious and give rise to reflex responses. Only those requiring a conscious response reach the level of awareness in a normal state (hunger, thirst, the urge to defecate). In pathological situations, the same is true for painful sensations of digestive origin. Functional bowel disorders are a frequent reason for consultation. Their pathophysiology is now based on a model integrating the various etiological factors around the brain-gut axis. These patients frequently present with visceral hypersensitivity, which manifests as an increased perception of digestive sensations, notably the onset of pain in response to stimuli that are not painful in normal subjects. Recognizing the role of visceral hypersensitivity has made it possible to explain the mechanism of action of medications used to treat functional bowel disorders and paves the way for the development of new molecules acting on digestive afferents. In this book, we will describe the anatomical and physiological basis for understanding the concept of visceral sensitivity and the role of digestive afferents in the pathophysiology of acute and chronic abdominal pain, particularly irritable bowel syndrome.
Learning from data streams : Processing techniques in sensor networks
The book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. The set of chapters covers the state-of-art in data stream mining approaches using clustering, predictive learning, and tensor analysis techniques, and applying them to applications in security, the natural sciences, and education.
Landscape Design in Color : History, Theory, and Practice 1750 to Today
Posits that though color and lighting effects appear natural, fleeting, and difficult to comprehend, the sensory palette of built landscapes and gardens has been carefully constructed to shape our experience and evoke meaning and place character. Landscape Design in Color: History, Theory, and Practice 1750 to Today is an inquiry into the themes, theories, and debates on color and its impact on practice in Western landscape architecture over the past three centuries.
La riabilitazione dei disturbi cognitivi nella sclerosi multipla = The rehabilitation of cognitive disorders in multiple sclerosis
Multiple sclerosis is one of the most frequent causes of chronic disability in young adults. It mainly affects individuals between 20 and 50 years of age, with a peak of incidence around the age of 30. This disease is characterized by the presence of demyelinating lesions of an inflammatory nature disseminated in the central nervous system. The different localization of these lesions is at the basis of the variability of clinical symptoms which can be characterized by motor, sensory, neurovegetative and cognitive disorders. The latter concern about half of the patients affected by this pathology and have a significant impact on the personal, family and work situation of these patients.
Knowledge Representation Techniques : A Rough Set Approach
The basis for the material in this book centers around a long term research project with autonomous unmanned aerial vehicle systems. One of the main research topics in the project is knowledge representation and reasoning. The focus of the research has been on the development of tractable combinations of approximate and nonmonotonic reasoning systems. The techniques developed are based on intuitions from rough set theory. Efforts have been made to take theory into practice by instantiating research results in the context of traditional relational database or deductive database systems.
Iutam Symposium on Dynamics and Control of Nonlinear Systems with Uncertainty ; Proceedings of the IUTAM Symposium held in Nanjing, China, September 18-22, 2006
The last decade has witnessed an increasing interest towards the dynamics and control of nonlinear engineering systems from the scientists engaged in nonlinear dynamics and the control engineers. Both groups of people have recognized the importance of interaction between nonlinear dynamics and robust control during their efforts to improve the dynamic performance of engineering systems with uncertainty, which comes from either the random excitations, such as wind and earthquake, or the modelling errors of real systems including their sensors, controllers and actuators. The dynamics and control of nonlinear systems with uncertainty, therefore, is a vital interdisciplinary topic related to both stochastic systems and deterministic systems. This volume contains the papers presented at the IUTAM Symposium on Dynamics and Control of Nonlinear Systems with Uncertainty, which was sponsored by the International Union of Theoretical and Applied Mechanics (IUTAM)
Component-based software engineering ; 11th International Symposium, CBSE 2008, Karlsruhe, Germany, October 14-17, 2008. Proceedings
This book constitutes the refereed proceedings of the 11th International ACM SIGSOFT Symposium on Component-Based Software Engineering, CBSE 2008, held in Karlsruhe, Germany in October 2008.
Complex Engineered Systems : Science Meets Technology
This volume examines the difficulties that arise in creating highly complex engineered systems and new approaches that are being adopted. Topics addressed range from the formal representation and classification of distributed networked systems to revolutionary engineering practices inspired by biological evolution. By bringing together the latest research in Complex Engineered Systems, this book sheds light on the current state and future course of this emerging field.
Climbing and Walking Robots ; Proceedings of the 7th International Conference CLAWAR 2004
This book contains the proceedings of the 7th Climbing and Walking Robots 2004 (CLAWAR 2004) Conference offering the international scientific community one of the most excellent forums for academics, researchers and industrialists interested in this motivating area of climbing and walking robots. It provides a wide forum of original state-of-the-art contributions from various industrial and new/emerging research fields, presenting a full picture of climbing and walking robots.
Classification and Clustering for Knowledge Discovery
This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.
