Considerable attention is currently devoted towards quality of service (QsS) issues and mobility challenges such as those arising from the integration of the integration of the next and future generation Internets over terrestrial digital TV, mobile user location management and multi service heterogeneous networks. Of particular importance is the convergence of wireless networks supported by internetworking and the evolution of wireless access and switching technologies. Mobility Management and Quality of Service for Heterogeneous Networks presents recent advances in networks of diverse technology and the internet reflecting state of the art research achievements in mobility and access network management, performance enhancement, optimal admission control and methodologies for QoS. Technical topics discussed in the book include • Mobility Management; • Optimal Admission Control; • Performance Modelling Studies; • Access Network Coverage; • Quality of Service (QoS); Mobility Management and Quality of Service for Heterogeneous Networks contains extended/revised research papers, which have their roots in the series of the HET-NETs International Working Conferences focusing on the 'Performance Modelling and Evaluation of Heterogeneous Networks' staged under the auspices of the EU Networks of Excellence Euro-NGI and Euro-FGI. This book is ideal for personnel in computer/communication industries as well as academic staff and master/research students in computer science, operational research, electrical engineering and telecommunication systems. Contents Preface; Participants of the Reviewing Process; - Mobility Management - Optimal Admission Control - Performance Modelling Studies - Access Networks Coverage - Quality of Service (QoS) Author Index Subject Index

At a time when the applications of sensors are in high demand and environmental issues are international priorities, this book on biomedical and environmental sensing provides the technical basis for researchers and students to understand the requirements for biomedical computing and also environmental sensing and to develop solutions in their areas of interests. The book deals with key techniques that need to be understood and also examples of applications of the techniques. Biomedical and environmental sensing are helping to extend the life span of human beings and infrastructures as it has become more and more sensible to understand what is happening for example inside a person, an aircraft, a road network or a bridge and to provide quick response. Several chapters of the book have dealt with the state of the art in biomedical decision support systems in therapeutic medicine. A data driven decision support system and a prototype support system for anaesthetics are major enablers for doctors and nurses to provide efficient and timely response not only to diagnose ailments but also to decide on the preferred approach for solving the problems. The analyses in the chapters are coherently detailed and easy to comprehend. There is a chapter on hypothermia therapy and a hardware probe was also developed and described. Classification of chromosomes is a major aid in DNA analysis and recognition. This valuable insight into a DNA analysis method is provided. Information on heart diseases, onset of heart attacks and failure can be detected through reconstructing electrophysiological information about the surface of the heart. A reconstruction method is described in this book and provides strong foundation for research and training in this life determining area. The remaining chapters on sensing of driver conditions including fatigue peeks into tools and methodologies for understanding both the onset of fatigue and its forms for prevention of accidents in vehicles. The rest of the book gives techniques for planning biomedical and environmental sensor networks and their security. The book will no doubt greatly serve the needs of health professionals, researchers in the health and environmental industry and policy makers. Content Acknowledgments preface 1. Data Driven Therapy Decision Support System 2. A Prototype Decision Support System for Anesthetists 3. Development and Testing of a Low Cost, Minimally Invasive Radiofrequency Thermal Probe For Hyperthermia Therapy 4. Comparative Functional Magnetic Resonance Imaging With Functional Brain Imaging Modalities 5. Design of a Neural Network Classifier for Separation of Images With Chromosomes 6. De-Noising of Body Surface Potential Signals 7. Single Channel Wireless EEG: Proposed Application in Train Drivers 8. Algorithm of remote monitoring ECG using mobile phone: Conception and implementation 9. Statistical validation of physiological indicators for non-invasive and hybrid driver drowsiness detection system 10.Security and Privacy of Wireless Sensor Networks for Biomedical Applications 11.Key Establishment Scheme for Clustered Distributed Sensor Networks 12.Planning and Addressing of Wireless Sensor Networks 13.Sensor Scheduling and Redeployment Mechanisms in Wireless Sensor Networks 14.On the combination of logistic regression and local probability estimates 15.Stochastic Deterioration Processes in Bridge Lifetime Assessment Index

About the Book :- Financial services have always been based on one key resource: information. Financial services organisations are about using information to assess (or give probabilities) to future events. Whether this is to predict mortality rates for life policy premiums, which customers are likely to need a personal loan to buy their next car, the rate to charge on a commercial loan, or to authorise an individual credit card transaction, it all depends on the flow of information. Ultimately, the quality of information and the ability of a business to extract value from it, is the key to competitive success or even survival. Today, the free availability of and advance of digital technology has only served to exaggerate the importance of understanding and organising information. It is in this context that Customer Information Management is intended to provide a sound understanding of the skills and knowledge required to effectively manage information systems in the strategic context of the financial services industry. It covers the topic via four main themes; managing information in the financial services environment, change management, customer management and delivery channels. Contents :- 1. The business and competitive environment 2. Strategy 3. The legal and regulatory environment 4. The social environment 5. The technology environment 6. Business analysis and change management 7. Projects and project management 8. Methodologies and techniques 9. Risk management 10. Understanding customers: customer knowledge management 11. Customer relationship management 12. Customer differentiation 13. Customer contact: customer management system 14. Customer customisation and experience 15. Management information 16. Operational systems design 17. Delivery channels 18. Channel integration Index. About the Authors :- Graham Flower FCIB is Head of Customer Management at HSBC. Phil Fawcett MBA FCIB is Senior Business Analyst at Lloyds TSB.

Wireless body area network (WBAN) is a small scaled network that operates inside, on, or in the peripheral proximity of a body. The strong demands from both medical and healthcare society and consumer electronics industry have been accelerating the development of WBAN. WBAN is expected to be one of the main technologies of providing extremely high convenience and high efficiency in assisting healthcare or medical services. From the consumer electronics point of view, WBAN is also of great interest in providing body centric electronics for leisure, entertainment, game control, etc. Recent technological advances in low-power microelectronics, miniaturization, and wireless networking enable the design and proliferation of WBAN. However, engineers and designers of WBAN may face a number of challenging tasks such as regulatory circumstance, channel model, low power consumption, thermal effect, antenna and body loss, high-efficiency radios, reasonable data rate, high reliability, and efficient medium access. This book addresses various aspects of WBAN including:- • Introduction • Regulations • Antenna, Body Tissues and Radio Propagation • Physical Layer Technologies • Medium Access Control • Standardization The objective of the book is to provide sound understanding to the basic concepts, characteristics, and technologies of the new fast growing WBAN system. Frequency regulations on candidate frequency bands, such as ultra wideband (UWB), industrial, scientific, and medical (ISM), medical implant communication service (MICS), and wireless medical telemetry system (WMTS), in different countries and regions are investigated and summarized. Antenna, propagation, and channel modeling related to WBAN are described. Effects of radio frequency on tissues and organs and effects of human tissues on RF propagations are addressed. Physical (PHY) layer technologies including both narrow band and UWB are illustrated. Medium access control (MAC) technologies for WBAN are discussed and a unified MAC design which is independent of underlying PHY technologies is given. Standardization with IEEE802.15.6, IEEE 11073, and ETSI eHealth Project are briefly reviewed. This book is a useful tool for university students, communication system engineers, as well as communication system researchers who study or design WBAN. Content • Chapter 1: Background • Chapter 2: Regulations • Chapter 3: Antenna, Body Tissues and Radio Propagation • Chapter 4: Physical Layer Technologies • Chapter 5: Medium Access Control • Chapter 6: Standardization Index

Embedded systems are today, widely deployed in just about every piece of machinery from toasters to spacecraft. Embedded system designers face many challenges. They are asked to produce increasingly complex systems using the latest technologies, but these technologies are changing faster than ever. They are asked to produce better quality designs with a shorter time-to-market. They are asked to implement increasingly complex functionality but more importantly to satisfy numerous other constraints. To achieve the current goals of design, the designer must be aware with such design constraints and more importantly, the factors that have a direct effect on them. One of the challenges facing embedded system designers is the selection of the optimum processor for the application in hand; single-purpose, general-purpose or application specific. Microcontrollers are one member of the family of the application specific processors. The book concentrates on the use of microcontroller as the embedded system’s processor, and how to use it in many embedded system applications. The book covers both the hardware and software aspects needed to design using microcontroller. The book is ideal for undergraduate students and also the engineers that are working in the field of digital system design. Contents List of Abbreviations • Process design metrics; • A systems approach to digital system design; • Introduction to microcontrollers and microprocessors; • Instructions and Instruction sets; • Machine language and assembly language; • System memory • Timers, counters and watchdog timer; • Interfacing to local devices - Analogue data and analogue I/O subsystem; • Multiprocessor communications- Network-based interfaces. Index

The diversity of methodologies and applications in the literature for the traffic and performance engineering for convergent multiservice heterogeneous networks attests to the breath and richness of recent research and developments towards the design and dimensioning of the next and future generation Internets. Traffic and Performance Engineering for Heterogeneous Networks presents recent advances in networks of diverse technology reflecting the state-of-the-art technology and research achievements in traffic modeling and characterization, performance evaluation studies and tools for heterogeneous networks. Technical topics presented in the book include: 1. Traffic Modeling and Engineering 2. Queueing and Interconnection Networks 3. Performance Evaluation Studies 4. TCP Performance Engineering 5. Congestion Control 6. Application Layer Multicast 7. Numerical and Software Tools Traffic and Performance Engineering for Heterogeneous Networks contains extended/revised research papers, which have their roots in the series of the HET-NETs International Working Conferences on the ‘Performance Modelling and Evaluation of Heterogeneous Networks’ staged under the auspices of the EU Networks of Excellence Euro-NGI and Euro-FGI. This book is ideal for personnel in computer/communication industries as well as academic staff and master/research students in computer science, operational research, electrical engineering, telecommunication systems and the Internet. Two other related research books by River Publishers, also edited by Demetres D.Kouvatsos, are ‘Performance Modelling and Analysis of Heterogeneous Networks’ (ISBN 978-87-93102-11-8) and ‘Mobility Management and Quality-of-Service for Heterogeneous Networks’ (ISBN 978-87-93102-13-2). Contents Preface; Participants of the Reviewing Process • Traffic Modelling and Engineering • Queueing and Interconnection Networks • Performance Evaluation Studies • TCP Performance Analysis • Congestion Control • Application Layer Multicast • Numerical and Software Tools Author Index Keyword Index.

About the Book:- In recent years, there has been a growing interest in the fields of pattern recognition and machine vision in academia and industries. New theories have been developed, with new design of technology and systems in both hardware and software. They are widely applied to our daily life to solve real problems in such diverse areas as science, engineering, agriculture, e-commerce, education, robotics, government, medicine, games and animation, medical imaging analysis and diagnosis, military, and national security. The foundation of all this field can be traced back to the late Prof. King-Sun Fu, one of the founding fathers of pattern recognition, who, with visionary insight founded the International Association for Pattern Recognition around 1980. In the almost 30 years since then, the world has witnessed the rapid growth and development of this field. It is probably true to say that most people are affected by, or use applications of pattern recognition in daily life. Today, on the eve of 25th anniversary of the unfortunate and untimely passing of Prof. Fu, we are proud to produce this volume of collected works from world renowned professionals and experts in pattern recognition and machine vision, in honor and memory of the late Prof. King-Sun Fu. We hope this book will help promote further the course, not only of fundamental principles, systems and technologies, but also its vast range of applications to help in solving problems in daily life. Contents Preface Foreword by J.K. Aggarwal Foreword by Herbert Freeman Foreword by Brian Lovell Foreword by Ching Y. Suen Part I: Fundamental Principles and Methods in Pattern Recognition Part II: Fundamental Principles and Methods in Machine Vision Part III: Machine Learning and Image Recognition Part IV: Systems and Basic Technologies Part V: Machine Learning and Pattern Recognition Applications Subject Index Author Index About the Author: Professor Patrick Shen-Pei Wang is IAPR Fellow, ISIBM Fellow, IEEE Distinguished Achievement Awardee, WorldComp Oustanding Contribution Awardee, ISIBM Distinguished Achievement Awardee, and IASTED AIA Outstanding Performance Awardee. He is founding Chief Editor of IJPRAI, WSP, Singapore and London, has published over 150 papers, 25 books and 3 USA/European Patents, in PR, AI, Computer Vision and Biometrics

About the Book: During the last Decade, a considerable amount of effort has been devoted, both in industry and academia, into performance modeling, evaluation and prediction of convergent multiservice heterogeneous networks, such as mobile, wireless and optical networks, towards the design and dimensioning of the next and future generation Internets. Performance Modelling and Analysis of Heterogeneous Networks presents recent advances in networks of diverse technology reflecting the state-of-the-art technology and research achievements in performance modeling analytic evaluation methodologies and applications. Technical topics addressed in the book include: 1. Multiservice Switching Networks 2. Wireless Ad Hoc Networks 3. Wireless Sensor Networks 4. Wireless Cellular Networks 5. Optical Networks Performance Modelling and Analysis of Heterogeneous Networks includes extended/revised research papers, which have their roots in the series of the HET-NETs International Working Conferences on the ‘Performance Modelling and Evaluation of Heterogeneous Networks’ staged under the auspices of the EU Networks of Excellence Euro-NGI and Euro-FGI. The book is ideal for personnel in computer/communication industries as well as academic staff and master/research students in computer science, operational research, electrical engineering and telecommunication systems and the Internet. Two other related research books by River Publishers, also edited by Demetres Kouvatsos, are ‘Traffic and Performance Engineering for Heterogeneous Networks’ (ISBN 978-87-93102-10-1) and ‘ Mobility Management and Quality –of-Service for Heterogeneous Networks’ (ISBN 978-87-93102-13-2). Contents Preface; Participants of the Reviewing Process;- • Multiservice Switching Networks; • Wireless Ad Hoc Networks; • Wireless Sensor Networks; • Wireless Cellular Networks; • Optical Networks; Author Index; Keyword Index.

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible paths for future research in this area. This book fills this need. From basic concepts in machine learning and data mining to advanced problems in the machine learning domain, Data Mining and Machine Learning in Cybersecurity provides a unified reference for specific machine learning solutions to cybersecurity problems. It supplies a foundation in cybersecurity fundamentals and surveys contemporary challenges—detailing cutting-edge machine learning and data mining techniques. It also: -Unveils cutting-edge techniques for detecting new attacks -Contains in-depth discussions of machine learning solutions to detection problems -Categorizes methods for detecting, scanning, and profiling intrusions and anomalies -Surveys contemporary cybersecurity problems and unveils state-of-the-art machine learning and data mining solutions -Details privacy-preserving data mining methods This interdisciplinary resource includes technique review tables that allow for speedy access to common cybersecurity problems and associated data mining methods. Numerous illustrative figures help readers visualize the workflow of complex techniques and more than forty case studies provide a clear understanding of the design and application of data mining and machine learning techniques in cybersecurity. Contents List of Figures List of Tables Preface Authors Introduction Cybersecurity Data Mining Machine Learning Review on Cybersecurity Solutions Proactive Security Solutions Reactive Security Solutions Summary Further Reading Classical Machine-Learning Paradigms for Data Mining Machine Learning Fundamentals of Supervised Machine-Learning Methods Popular Unsupervised Machine-Learning Methods Improvements on Machine-Learning Methods New Machine-Learning Algorithms Resampling Feature Selection Methods Evaluation Methods Cross Validation Challenges Challenges in Data Mining Challenges in Machine Learning (Supervised Learning and Unsupervised Learning) Research Directions Understanding the Fundamental Problems of Machine-Learning Methods in Cybersecurity Incremental Learning in Cyberinfrastructures Feature Selection/Extraction for Data with Evolving Characteristics Privacy-Preserving Data Mining Supervised Learning for Misuse/Signature Detection Misuse/Signature Detection Machine Learning in Misuse/Signature Detection Machine-Learning Applications in Misuse Detection Rule-Based Signature Analysis Artificial Neural Network Support Vector Machine Genetic Programming Decision Tree and CART Bayesian Network Machine Learning for Anomaly Detection Introduction Anomaly Detection Machine Learning in Anomaly Detection Systems Machine-Learning Applications in Anomaly Detection Rule-Based Anomaly Detection (Table 1.3, C.6) Fuzzy Rule-Based (Table 1.3, C.6) ANN (Table 1.3, C.9) Support Vector Machines (Table 1.3, C.12) Nearest Neighbor-Based Learning (Table 1.3, C.11) Hidden Markov Model Kalman Filter Unsupervised Anomaly Detection Information Theoretic (Table 1.3, C.5) Other Machine-Learning Methods Applied in Anomaly Detection (Table 1.3, C.2) Machine Learning for Hybrid Detection Hybrid Detection Machine Learning in Hybrid Intrusion Detection Systems Machine-Learning Applications in Hybrid Intrusion Detection Anomaly–Misuse Sequence Detection System Association Rules in Audit Data Analysis and Mining (Table 1.4, D.4) Misuse–Anomaly Sequence Detection System Parallel Detection System Complex Mixture Detection System Other Hybrid Intrusion Systems Machine Learning for Scan Detection Scan and Scan Detection Machine Learning in Scan Detection Machine-Learning Applications in Scan Detection Other Scan Techniques with Machine-Learning Methods Machine Learning for Profiling Network Traffic Introduction Network Traffic Profiling and Related Network Traffic Knowledge Machine Learning and Network Traffic Profiling Data-Mining and Machine-Learning Applications in Network Profiling Other Profiling Methods and Applications. Privacy-Preserving Data Mining Privacy Preservation Techniques in PPDM Notations Privacy Preservation in Data Mining Workflow of PPDM Introduction of the PPDM Workflow PPDM Algorithms Performance Evaluation of PPDM Algorithms Data-Mining and Machine-Learning Applications in PPDM Privacy Preservation Association Rules (Table 1.1, A.4) Privacy Preservation Decision Tree (Table 1.1, A.6) Privacy Preservation Bayesian Network (Table 1.1, A.2) Privacy Preservation KNN (Table 1.1, A.7) Privacy Preservation k-Means Clustering (Table 1.1, A.3) Other PPDM Methods Emerging Challenges in Cybersecurity Emerging Cyber Threats Threats from Malware Threats from Botnets Threats from Cyber Warfare Threats from Mobile Communication Cyber Crimes Network Monitoring, Profiling, and Privacy Preservation Privacy Preservation of Original Data Privacy Preservation in the Network Traffic Monitoring and Profiling Algorithms Privacy Preservation of Monitoring and Profiling Data Regulation, Laws, and Privacy Preservation Privacy Preservation, Network Monitoring, and Profiling Example: PRISM Emerging Challenges in Intrusion Detection Unifying the Current Anomaly Detection Systems Network Traffic Anomaly Detection Imbalanced Learning Problem and Advanced Evaluation Metrics for IDS Reliable Evaluation Data Sets or Data Generation Tools Privacy Issues in Network Anomaly Detection Index