Borko Furht

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Every leader tells a story. History tells another. In Leaders Beyond the Grave with AI, artificial intelligence is used to imagine conversations with presidents and prime ministers whose choices reshaped nations and altered millions of lives. Stripped of speeches, slogans, and public image, these leaders confront the decisions that defined their rule. Through engaging, provocative dialogue, the book explores ambition, power, mistakes, and legacy-asking what leaders believed at the time, what they justified, and what they might admit only now. Some defend their actions. Others reveal doubts history never recorded. This is not a history textbook. It is a bold conversation about leadership, responsibility, and consequence-inviting readers to see the world's most powerful figures not as monuments, but as human beings whose choices still echo today.

This book overviews the drivers behind the smart city vision, describes its dimensions and introduces the reference architecture. It further enumerates and classifies threats targeting the smart city concept, links corresponding attacks, and traces the impact of these threats on operations, society and the environment. This book also introduces analytics-driven situational awareness, provides an overview of the respective solutions and highlights the prevalent limitations of these methods. The research agenda derived from the study emphasizes the demand and challenges for developing holistic approaches to transition these methods to practice equipping the user with extensive knowledge regarding the detected attack instead of a sole indicator of ongoing malicious events. It introduces a cyber-situational awareness framework that can be integrated into smart city operations to provide timely evidence-based insights regarding cyber incidents and respective system responses to assist decision-making. This book targets researchers working in cybersecurity as well as advanced-level computer science students focused on this field. Cybersecurity operators will also find this book useful as a reference guide.

This book overviews the drivers behind the smart city vision, describes its dimensions and introduces the reference architecture. It further enumerates and classifies threats targeting the smart city concept, links corresponding attacks, and traces the impact of these threats on operations, society and the environment. This book also introduces analytics-driven situational awareness, provides an overview of the respective solutions and highlights the prevalent limitations of these methods. The research agenda derived from the study emphasizes the demand and challenges for developing holistic approaches to transition these methods to practice equipping the user with extensive knowledge regarding the detected attack instead of a sole indicator of ongoing malicious events. It introduces a cyber-situational awareness framework that can be integrated into smart city operations to provide timely evidence-based insights regarding cyber incidents and respective system responses to assist decision-making. This book targets researchers working in cybersecurity as well as advanced-level computer science students focused on this field. Cybersecurity operators will also find this book useful as a reference guide.

Scientists in different geographical locations conduct real-time experiments in a virtual shared workspace. E-commerce provides an emerging market for businesses large and small. E-mail, Servers, and Enterprise Resources Planning have revolutionized businesses on every level. People from all over the globe gather in chat rooms. The Internet is here to stay and Internet technologies and applications continue to grow and evolve. The Handbook of Internet Computing presents comprehensive coverage of all technical issues related to the Internet and its applications. It addresses hot topics such as Internet architectures, content-based multimedia retrieval on the Internet, Web-based collaboration, Web search engines, digital libraries, and more. Real-life examples illustrate the concepts so that technical, non-technical and business people can quickly grasp the fundamentals.

Intellectual property owners must continually exploit new ways of reproducing, distributing, and marketing their products. However, the threat of piracy looms as a major problem with digital distribution and storage technologies. Multimedia Encryption and Authentication Techniques and Applications covers current and future trends in the design of modern systems that use encryption and authentication to protect multimedia content. Containing the works of contributing authors who are worldwide experts in their fields, this volume is intended for researchers and practitioners, as well as for those who want a broad understanding of multimedia security. In the wake of the explosive growth of digital entertainment and Internet applications, this book is a definitive resource for scientists, researchers, programmers, engineers, business managers, entrepreneurs, and investors. FeaturesDescribes and evaluates the state of the art in multimedia encryption and authentication techniques and related technologies, architectures, standards, and applications Includes advanced topics, such as chaotic encryption techniques for digital images and video, as well as streaming media encryption Focuses on digital rights management issues for video and for consumer devices Covers key management and protection for IP multimedia, digital media fingerprinting, and signature-based media authentication

The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others. All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

Scientists in different geographical locations conduct real-time experiments in a virtual shared workspace. E-commerce provides an emerging market for businesses large and small. E-mail, Servers, and Enterprise Resources Planning have revolutionized businesses on every level. People from all over the globe gather in chat rooms. The Internet is here to stay and Internet technologies and applications continue to grow and evolve. The Handbook of Internet Computing presents comprehensive coverage of all technical issues related to the Internet and its applications. It addresses hot topics such as Internet architectures, content-based multimedia retrieval on the Internet, Web-based collaboration, Web search engines, digital libraries, and more. Real-life examples illustrate the concepts so that technical, non-technical and business people can quickly grasp the fundamentals.

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

This book presents effective ways to partition mobile devices such that the enterprise system access and its information are completely separated from the personal information. For those using mobile devices for personal and business purposes, the ability to keep the data secure and separate is critical. The applications for security in smart platforms range from personal email accounts to global enterprise systems. Several approaches for mobile virtualization are described, all creating secure and secluded environments for enterprise information. The authors present a reference architecture that allows for integration with existing enterprise mobile device management systems and provides a lightweight solution for containerizing mobile applications. This solution is then benchmarked with several of the existing mobile virtualization solutions across a range of mobile devices. Virtualization Techniques for Mobile Systems is an excellent resource for researchers and professionals working in mobile systems. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

In response to the need to improve road traffic operation, researchers implement advanced technologies and integration of systems and data, and develop state-of-the-art applications to assist traffic engineers. This SpringerBrief introduces three novel Web applications which can be an exceptional resource and a good visualization tool for traffic operators, managers, and analysts to monitor the congestion, and analyze incidents and signal performance measures. The applications offer more detailed analysis providing users with insights from different levels and perspectives. The benefit of providing these automated and interactive visualization tools is more efficient estimation of the local transport networks’ performance, thus facilitating the decision making process in case of emergency events.

This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such systems, the different methods by which drowsiness can be detected (and the associated terminology), existing commercial solutions, selected algorithms and research directions, and a collection of examples and case studies. These topics equip the reader to understand this critical field and its applications. Detection Systems and Solutions: Driver Drowsiness is an invaluable resource for researchers and professionals working in intelligent vehicle systems and technologies. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

This book presents effective ways to partition mobile devices such that the enterprise system access and its information are completely separated from the personal information. For those using mobile devices for personal and business purposes, the ability to keep the data secure and separate is critical. The applications for security in smart platforms range from personal email accounts to global enterprise systems. Several approaches for mobile virtualization are described, all creating secure and secluded environments for enterprise information. The authors present a reference architecture that allows for integration with existing enterprise mobile device management systems and provides a lightweight solution for containerizing mobile applications. This solution is then benchmarked with several of the existing mobile virtualization solutions across a range of mobile devices. Virtualization Techniques for Mobile Systems is an excellent resource for researchers and professionals working in mobile systems. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

Video technology promises to be the key for the transmission of motion video. A number of video compression techniques and standards have been introduced in the past few years, particularly the MPEG-1 and MPEG-2 for interactive multimedia and for digital NTSC and HDTV applications, and H.2611H.263 for video telecommunications. These techniques use motion estimation techniques to reduce the amount of data that is stored and transmitted for each frame. This book is about these motion estimation algorithms, their complexity, implementations, advantages, and drawbacks. First, we present an overview of video compression techniques with an emphasis to techniques that use motion estimation, such as MPEG and H.2611H.263. Then, we give a survey of current motion estimation search algorithms, including the exhaustive search and a number of fast search algorithms. An evaluation of current search algorithms, based on a number of experiments on several test video sequences, is presented as well. The theoretical framework for a new fast search algorithm, Densely-Centered Uniform-P Search (DCUPS), is developed and presented in the book. The complexity of the DCUPS algorithm is comparable to other popular motion estimation techniques, however the algorithm shows superior results in terms of compression ratios and video qUality. We should stress out that these new results, presented in Chapters 4 and 5, have been developed by Joshua Greenberg, as part of his M. Sc. thesis entitled "Densely-Centered Uniform P-Search: A Fast Motion Estimation Algorithm" (FAU, 1996).

Real-Time Video Compression: Techniques and Algorithms introduces the XYZ video compression technique, which operates in three dimensions, eliminating the overhead of motion estimation. First, video compression standards, MPEG and H.261/H.263, are described. They both use asymmetric compression algorithms, based on motion estimation. Their encoders are much more complex than decoders. The XYZ technique uses a symmetric algorithm, based on the Three-Dimensional Discrete Cosine Transform (3D-DCT). 3D-DCT was originally suggested for compression about twenty years ago; however, at that time the computational complexity of the algorithm was too high, it required large buffer memory, and was not as effective as motion estimation. We have resurrected the 3D-DCT-based video compression algorithm by developing several enhancements to the original algorithm. These enhancements make the algorithm feasible for real-time video compression in applications such as video-on-demand, interactive multimedia, and videoconferencing. The demonstrated results, presented in this book, suggest that the XYZ video compression technique is not only a fast algorithm, but also provides superior compression ratios and high quality of the video compared to existing standard techniques, such as MPEG and H.261/H.263. The elegance of the XYZ technique is in its simplicity, which leads to inexpensive VLSI implementation of any XYZ codec. Real-Time Video Compression: Techniques and Algorithms can be used as a text for graduate students and researchers working in the area of real-time video compression. In addition, the book serves as an essential reference for professionals in the field.

SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 100 pages, the series covers a range of content from professional to academic. Briefs allow authors to present their ideas and readers to absorb them with minimal time investment. As part of Springer's eBook collection, SpringBriefs are published to millions of users worldwide. A Survey of Cloud Computing covers a wide range of topics making it a great tool for anyone looking for a quick, yet comprehensive reference on this subject. Cloud computing has become a significant technology trend, and many experts expect that cloud computing will reshape information technology processes and the IT marketplace. This new web based technology can be used with a variety of devices, including PCs, laptops, smart phones, and PDAs to access programs, storage, and application-development platforms over the Internet. Covering key topics like cloud computing, cloud architecture, and cloud platforms, this book is a great reference for practitioners, academicians, researchers, and students.