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Challenges in Cybersecurity and Privacy - the European Research Landscape

Challenges in Cybersecurity and Privacy - the European Research Landscape

Cybersecurity and Privacy issues are becoming an important barrier for a trusted and dependable global digital society development. Cyber-criminals are continuously shifting their cyber-attacks specially against cyber-physical systems and IoT since they present additional vulnerabilities due to their constrained capabilities their unattended nature and the usage of potential untrustworthiness components. Likewise identity-theft fraud personal data leakages and other related cyber-crimes are continuously evolving causing important damages and privacy problems for European citizens in both virtual and physical scenarios. In this context new holistic approaches methodologies techniques and tools are needed to cope with those issues and mitigate cyberattacks by employing novel cyber-situational awareness frameworks risk analysis and modeling threat intelligent systems cyber-threat information sharing methods advanced big-data analysis techniques as well as exploiting the benefits from latest technologies such as SDN/NFV and Cloud systems. In addition novel privacy-preserving techniques and crypto-privacy mechanisms identity and eID management systems trust services and recommendations are needed to protect citizens’ privacy while keeping usability levels. The European Commission is addressing the challenge through different means including the Horizon 2020 Research and Innovation program thereby financing innovative projects that can cope with the increasing cyberthreat landscape. This book introduces several cybersecurity and privacy research challenges and how they are being addressed in the scope of 15 European research projects. Each chapter is dedicated to a different funded European Research project which aims to cope with digital security and privacy aspects risks threats and cybersecurity issues from a different perspective. Each chapter includes the project’s overviews and objectives the particular challenges they are covering research achievements on security and privacy as well as the techniques outcomes and evaluations accomplished in the scope of the EU project. The book is the result of a collaborative effort among relative ongoing European Research projects in the field of privacy and security as well as related cybersecurity fields and it is intended to explain how these projects meet the main cybersecurity and privacy challenges faced in Europe. Namely the EU projects analyzed in the book are: ANASTACIA SAINT YAKSHA FORTIKA CYBECO SISSDEN CIPSEC CS-AWARE. RED-Alert Truessec. eu. ARIES LIGHTest CREDENTIAL FutureTrust LEPS. Challenges in Cybersecurity and Privacy - the European Research Landscape is ideal for personnel in computer/communication industries as well as academic staff and master/research students in computer science and communications networks interested in learning about cyber-security and privacy aspects.

GBP 89.99
1

Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling

Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling

Despite major advances in healthcare over the past century the successful treatment of cancer has remained a significant challenge and cancers are the second leading cause of death worldwide behind cardiovascular disease. Early detection and survival are important issues to control cancer. The development of quantitative methods and computer technology has facilitated the formation of new models in medical and biological sciences. The application of mathematical modelling in solving many real-world problems in medicine and biology has yielded fruitful results. In spite of advancements in instrumentations technology and biomedical equipment it is not always possible to perform experiments in medicine and biology for various reasons. Thus mathematical modelling and simulation are viewed as viable alternatives in such situations and are discussed in this book. The conventional diagnostic techniques of cancer are not always effective as they rely on the physical and morphological appearance of the tumour. Early stage prediction and diagnosis is very difficult with conventional techniques. It is well known that cancers are involved in genome level changes. As of now the prognosis of various types of cancer depends upon findings related to the data generated through different experiments. Several machine learning techniques exist in analysing the data of expressed genes; however the recent results related with deep learning algorithms are more accurate and accommodative as they are effective in selecting and classifying informative genes. This book explores the probabilistic computational deep learning model for cancer classification and prediction. | Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling

GBP 99.99
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Photonic Interconnects for Computing Systems Understanding and Pushing Design Challenges

Photonic Interconnects for Computing Systems Understanding and Pushing Design Challenges

In recent years there has been a considerable amount of effort both in industry and academia focusing on the design implementation performance analysis evaluation and prediction of silicon photonic interconnects for inter- and intra-chip communication paving the way for the design and dimensioning of the next and future generation of high-performance computing systems. Photonic Interconnects for Computing Systems provides a comprehensive overview of the current state-of-the-art technology and research achievements in employing silicon photonics for interconnection networks and high-performance computing summarizing main opportunities and some challenges. The majority of the chapters were collected from presentations made at the International Workshop on Optical/Photonic Interconnects for Computing Systems (OPTICS) held over the past two years. The workshop invites internationally recognized speakers on the range of topics relevant to silicon photonics and computing systems. Technical topics discussed in the book include:Design and Implementation of Chip-Scale Photonic Interconnects;Developing Design Automation Solutions for Chip-Scale Photonic Interconnects;Design Space Exploration in Chip-Scale Photonic Interconnects;Thermal Analysis and Modeling in Photonic Interconnects;Design for Reliability;Fabrication Non-Uniformity in Photonic Interconnects;Photonic Interconnects for Computing Systems presents a compilation of outstanding contributions from leading research groups in the field. It presents a comprehensive overview of the design advantages challenges and requirements of photonic interconnects for computing systems. The selected contributions present important discussions and approaches related to the design and development of novel photonic interconnect architectures as well as various design solutions to improve the performance of such systems while considering different challenges. The book is ideal for personnel in computer/photonic industries as well as academic staff and master/graduate students in computer science and engineering electronic engineering electrical engineering and photonics. | Photonic Interconnects for Computing Systems Understanding and Pushing Design Challenges

GBP 79.99
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Building the Future Internet through FIRE a Research and Experimentation based Approach

SMART Integrated Circuit Design and Methodology

SMART Integrated Circuit Design and Methodology

This book describes advanced flows and methodologies for the design and implementation of system-on-chip (SoC). It is written by a mixture of industrial experts and key academic professors and researchers. The intended audience is not only students but also engineers with system-on-chip and semiconductor background currently working in the semiconductor industry. Integrated Circuits are available in every electronic product especially in emerging market segments such as 5G mobile communications autonomous driving fully electrified vehicles and artificial intelligence. These product types require real-time processing at billions of operations per second. The development design cycle time is driving costs and time to market more than ever before. The traditional design methodologies have reached their limits and innovative solutions are essential to serve the emerging SoC design challenges. In the framework of the Circuit and System Society (CASS) Outreach Initiative 2022 call the SMART Integrated Circuits design methodology – named SMARTIC – Seasonal School was performed in November 2022 in Thessaloniki (Greece). Features Core analog circuits of any system of chip such as high-performance rectifiers and filters are addressed in detail together with their respective design methodology. New advanced methodologies towards design cycle speed up based on machine learning and artificial intelligence applications. Advanced analog design methodology based on gm/Id and lock up tables. A powerful flow for enabling fast time to market analog circuit design focusing on baseband circuits More exotic methodologies and applications with focus on digital-based analog processing in nanoscale CMOS ICs and the design and development of depleted monolithic active pixel sensors for high-radiation applications together with all the respective challenges of this application. | SMART Integrated Circuit Design and Methodology

GBP 94.99
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Digital Filter Design and Realization

A First Course in Control System Design

Privacy and Security for Mobile Crowdsourcing

Compressor Handbook: Principles and Practice

Advanced Lighting Controls Energy Savings Productivity Technology and Applications

Advanced Control Systems Theory and Applications

Advanced Control Systems Theory and Applications

Advanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications. It consists of extended versions of the selected papers presented at the XXV International Conference on Automatic Control “Automatics 2018” (September 18-19 2018 Lviv Ukraine) which is the main Ukrainian Control Conference organized by Ukrainian Association on Automatic Control (National member organization of IFAC) and Lviv National University “Lvivska Politechnica”. More than 100 papers were presented at the conference with topics including: mathematical problems of control optimization and game theory; control and identification under uncertainty; automated control of technical technological and biotechnical objects; controlling the aerospace craft marine vessels and other moving objects; intelligent control and information processing; mechatronics and robotics; information measuring technologies in automation; automation and IT training of personnel; the Internet of things and the latest technologies. The book is divided into two main parts the first concerning theory (7 chapters) and the second concerning applications (7 chapters) of advanced control systems. The first part “Advances in Theoretical Research on Automatic Control” consists of theoretical research results which deal with descriptor control impulsive delay systems motion control in condition of conflict inverse dynamic models invariant relations in optimal control robust adaptive control bio-inspired algorithms optimization of fuzzy control systems and extremal routing problem with constraints and complicated cost functions. The second part “Advances in Control Systems Applications” is based on the chapters which consider different aspects of practical implementation of advanced control systems in particular special cases in determining the spacecraft position and attitude using computer vision system the spacecraft orientation by information from a system of stellar sensors control synthesis of rotational and spatial spacecraft motion at approaching stage of docking intelligent algorithms for the automation of complex biotechnical objects an automatic control system for the slow pyrolysis of organic substances with variable composition simulation complex of hierarchical systems based on the foresight and cognitive modelling and advanced identification of impulse processes in cognitive maps. The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed including the most relevant references so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in advanced control systems. | Advanced Control Systems Theory and Applications

GBP 94.99
1

Direct Nerve Stimulation for Induction of Sensation and Treatment of Phantom Limb Pain

Peri-urban Conflicts and Environmental Challenges A Mediterranean Perspective

Electric and Electronic Circuit Simulation using TINA-TI

International Solutions to Sustainable Energy Policies and Applications

Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

Recent technological developments in sensors edge computing connectivity and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained energy-efficient hardware devices for processing information at the network edge. Embedded AI combines embedded machine learning (ML) and deep learning (DL) based on neural networks (NN) architectures such as convolutional NN (CNN) or spiking neural network (SNN) and algorithms on edge devices and implements edge computing capabilities that enable data processing and analysis without optimised connectivity and integration allowing users to access data from various sources. Embedded AI efficiently implements edge computing and AI processes on resource-constrained devices to mitigate downtime and service latency and it successfully merges AI processes as a pivotal component in edge computing and embedded system devices. Embedded AI also enables users to reduce costs communication and processing time by assembling data and by supporting user requirements without the need for continuous interaction with physical locations. This book provides an overview of the latest research results and activities in industrial embedded AI technologies and applications based on close cooperation between three large-scale ECSEL JU projects AI4DI ANDANTE and TEMPO. The book’s content targets researchers designers developers academics post-graduate students and practitioners seeking recent research on embedded AI. It combines the latest developments in embedded AI addressing methodologies tools and techniques to offer insight into technological trends and their use across different industries. | Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

GBP 94.99
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Energy Project Financing Resources and Strategies for Success

Low Power Circuit Design Using Advanced CMOS Technology

Low Power Circuit Design Using Advanced CMOS Technology

Low Power Circuit Design Using Advanced CMOS Technology is a summary of lectures from the first Advanced CMOS Technology Summer School (ACTS) 2017. The slides are selected from the handouts while the text was edited according to the lecturers talk. ACTS is a joint activity supported by the IEEE Circuit and System Society (CASS) and the IEEE Solid-State Circuits Society (SSCS). The goal of the school is to provide society members as well researchers and engineers from industry the opportunity to learn about new emerging areas from leading experts in the field. ACTS is an example of high-level continuous education for junior engineers teachers in academe and students. ACTS was the results of a successful collaboration between societies the local chapter leaders and industry leaders. This summer school was the brainchild of Dr. Zhihua Wang with strong support from volunteers from both the IEEE SSCS and CASS. In addition the local companies Synopsys China and Beijing IC Park provided support. This first ACTS was held in the summer 2017 in Beijing. The lectures were given by academic researchers and industry experts who presented each 6-hour long lectures on topics covering process technology EDA skill and circuit and layout design skills. The school was hosted and organized by the CASS Beijing Chapter SSCS Beijing Chapter and SSCS Tsinghua Student Chapter. The co-chairs of the first ACTS were Dr. Milin Zhang Dr. Hanjun Jiang and Dr. Liyuan Liu. The first ACTS was a great success as illustrated by the many participants from all over China as well as by the publicity it has been received in various media outlets including Xinhua News one of the most popular news channels in China.

GBP 94.99
1

Multirate Signal Processing for Communication Systems

Multirate Signal Processing for Communication Systems

Multirate Signal processing can improve system performance and reduce costs in applications ranging from laboratory instruments cable modems wireless systems satellites Radar Sonar and consumer entertainment products. This second edition continues to offer a systematic clear and intuitive introduction to multirate signal processing for working engineers and system designers. Significant new material and fresh concepts including Green Signal Processing techniques have been introduced. The author uses extensive examples and figures to illustrate a wide range of multirate techniques from basic resampling to leading-edge cascade and multi-stage filter structures. Along the way he draws on extensive research and consulting experience to introduce processing “tricks” shown to maximize performance and efficiency. Coverage includes:• Effect of sampling and resampling in time and frequency domains• Relationships between FIR filter specifications and filter length (# of taps)• Window design and equal-ripple (Remez) design techniques• Square-Root Nyquist and Half-band Filters including new enhancements• Polyphase FIR filters: up-sampling down-sampling• Polyphase M-path analysis and synthesis channelizers and cascade pairs• Polyphase interpolators for arbitrary sample rate changes• Dyadic half-band filters quadrature mirror filters• Channel banks for multiple arbitrary bandwidths and center frequencies • Comprehensive coverage of recursive all-pass filters and channelizers non-uniform and uniform phase mixed recursive and non-recursive• Comparisons with traditional DSP designs• Extensive applications coverage throughout | Multirate Signal Processing for Communication Systems

GBP 94.99
1

6G Visions for a Sustainable and People-centric Future From Communications to Services the CONASENSE Perspective

6G Visions for a Sustainable and People-centric Future From Communications to Services the CONASENSE Perspective

6G is currently under definition being often addressed from a plain telecommunications perspective as an evolutionary paradigm that represents an extension of 5G. Having as a horizon 2030 6G initiatives are being deployed across the globe to further ignite the development of 6G services. At its philosophical core 6G embodies the human in the loop principle. The research effort being developed towards 6G requires an interdisciplinary approach that ignites discussion across different key technological sectors ranging from communications up to services and business cases. The contributions of this book to research in the field concern an evolutionary and interdisciplinary design of 6G as a paradigm that can be addressed by working together four different computational areas: communications; satellites and navigation; sensing; services. The book is derived from initial brainstorming that was developed during the 11th CONASENSE Symposium held in October 2021 in fortiss Munich Germany. Several international experts contribute to an overview of 6G key challenges new networking trends and challenges to be overcome and advanced 6G services. The book starts with a perspective on 6G challenges and use-cases beyond the 2030 horizon to then continue to address the role of non-terrestrial networks and cognitive service-centric satellite networks in future 6G services. Still with focus on 6G adaptive networking the book continues with a debate on the need to integrate social awareness based on an interdisciplinary approach in network operations. Then specific examples of advanced services (quantum imaging and holography; localization of the Internet of remote things) are discussed. The book is therefore intended to assist in developing critical thinking to back up novel networking applications and services towards 6G. | 6G Visions for a Sustainable and People-centric Future From Communications to Services the CONASENSE Perspective

GBP 94.99
1

Disruptive Artificial Intelligence and Sustainable Human Resource Management Impacts and Innovations -The Future of HR

Disruptive Artificial Intelligence and Sustainable Human Resource Management Impacts and Innovations -The Future of HR

It is well-established that every organization is founded with a specific purpose and goals. Virtually all business organizations obtain measurements and metrics dealing with outcomes and results. However what is reflected on the balance sheet does not necessarily show the actual worth of the organizations and ensure their survival and sustainability. Thus the question arises what exactly makes the organizations sustainable and thriving in an ever-changing environment? There are several examples of companies like Faber-Castell Bank of Ireland Chivas DuPont and many more which have been able to sustain and survive over more than 200 years and still have a successful existence in the present era. Thus it is important for the organization to pay equal attention to its three bottom lines i. e. people profit and planet for its sustainability which not only meet the needs of the present generation but should have a futuristic approach as well. In the present era organizations are adopting a new normal working dynamic and coping with the post-pandemic situations to sustain themselves in the business environment. Technology plays a significant role in this new working dynamic and cutting-edge technologies like machine learning artificial intelligence blockchain ChatGPT Internet of Things and much more effectively facilitate human functioning at work. The book aims to contribute to understanding and developing sustainable human resource management processes and practices aligned with recent technologies. It highlights the interconnection among the three bottom-line sustainable approaches for the growth and development of the organization. Topics discussed in this book include: • Disruptive Technologies and HR Sustainability • Convergence of Innovative Technologies HR and Organizational Growth • Triple bottom-line Sustainability for HRM • Business-oriented Talent analytics and HR Sustainability • Role of Leadership in sustainable HRM practices. | Disruptive Artificial Intelligence and Sustainable Human Resource Management Impacts and Innovations -The Future of HR

GBP 99.99
1

Compressor Handbook Principles and Practice

Certifications of Critical Systems – The CECRIS Experience

Certifications of Critical Systems – The CECRIS Experience

In recent years a considerable amount of effort has been devoted both in industry and academia to the development validation and verification of critical systems i. e. those systems whose malfunctions or failures reach a critical level both in terms of risks to human life as well as having a large economic impact. Certifications of Critical Systems – The CECRIS Experience documents the main insights on Cost Effective Verification and Validation processes that were gained during work in the European Research Project CECRIS (acronym for Certification of Critical Systems). The objective of the research was to tackle the challenges of certification by focusing on those aspects that turn out to be more difficult/important for current and future critical systems industry: the effective use of methodologies processes and tools. The CECRIS project took a step forward in the growing field of development verification and validation and certification of critical systems. It focused on the more difficult/important aspects of critical system development verification and validation and certification process. Starting from both the scientific and industrial state of the art methodologies for system development and the impact of their usage on the verification and validation and certification of critical systems the project aimed at developing strategies and techniques supported by automatic or semi-automatic tools and methods for these activities setting guidelines to support engineers during the planning of the verification and validation phases.

GBP 79.99
1

Applied Data Analytics - Principles and Applications

Applied Data Analytics - Principles and Applications

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications cyber security data crime data telecommunications and stock market data health records and business analytics data are but a few areas of interest. Applications and platforms including R RapidMiner and Weka provide the basis for analysis often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes or to spot errors. Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms languages and visualisation systems. The book when combined with such platforms provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations deep learning artificial intelligence statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate postgraduate and big data analytics enthusiasts. This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence environmental sensor data modelling and analysis health informatics business data analytics data from Internet of Things and deep learning applications.

GBP 94.99
1