Network Routing: Algorithms, Protocols, and Architectures, Second Edition, explores network routing and how it can be broadly categorized into Internet routing, circuit-switched routing, and telecommunication transport network routing. The book systematically considers these routing paradigms, as well as their interoperability, discussing how algorithms, protocols, analysis, and operational deployment impact these approaches and addressing both macro-state and micro-state in routing. Readers will learn about the evolution of network routing, the role of IP and E.164 addressing and traffic engineering in routing, the impact on router and switching architectures and their design, deployment of network routing protocols, and lessons learned from implementation and operational experience. Numerous real-world examples bring the material alive. - Extensive coverage of routing in the Internet, from protocols (such as OSPF, BGP), to traffic engineering, to security issues - A detailed coverage of various router and switch architectures, IP lookup and packet classification methods - A comprehensive treatment of circuit-switched routing and optical network routing - New topics such as software-defined networks, data center networks, multicast routing - Bridges the gap between theory and practice in routing, including the fine points of implementation and operational experience - Accessible to a wide audience due to its vendor-neutral approach
Biometric recognition, or simply biometrics, is the science of establishing the identity of a person based on physical or behavioral attributes. It is a rapidly evolving field with applications ranging from securely accessing one’s computer to gaining entry into a country. While the deployment of large-scale biometric systems in both commercial and government applications has increased the public awareness of this technology, "Introduction to Biometrics" is the first textbook to introduce the fundamentals of Biometrics to undergraduate/graduate students. The three commonly used modalities in the biometrics field, namely, fingerprint, face, and iris are covered in detail in this book. Few other modalities like hand geometry, ear, and gait are also discussed briefly along with advanced topics such as multibiometric systems and security of biometric systems. Exercises for each chapter will be available on the book website to help students gain a better understanding of the topics and obtain practical experience in designing computer programs for biometric applications. These can be found at: http://www.csee.wvu.edu/~ross/BiometricsTextBook/. Designed for undergraduate and graduate students in computer science and electrical engineering, "Introduction to Biometrics" is also suitable for researchers and biometric and computer security professionals.
Diya had it all - a lavish lifestyle, a successful career, and loving parents. But when a tragedy strikes and takes it all away, her life is changed forever. Sanjay, an NRI in India, is struggling with a past that haunts him and finds solace in the company of his two beloved pet cats, Snow and Luca. Plagued by their own demons, the two fight to maintain their grip on reality as their mental health steadily deteriorates. No matter how hard they try to escape their troubled past, fate conspires to bring them back to the source of their pain. Haunted by self-blame and regret for mistakes made in ignorance, Sanjay and Diya find themselves consumed by a never-ending cycle of repentance and self-doubt. But when a twist of fate brings them together, their secret past resurfaces threatening their very existence and relationship. As they uncover the truth, Diya and Sanjay realize that their imperfections may not lead to perfection. Will their relationship survive the test of love, and will their broken hearts mend into a bond that lasts forever? Only time will tell in this story about love, loss, and the power of second chances.
In the year 1994, young aadit, Leela, and Samarth are announced the only survivors of an abduction case. The incident tainted their childhood. As they grew up, the haunting memories from their past forced Audit to turn into a drug addict and question his existence. While leela's continuous suicide attempts turn out futile, Samarth is diagnosed with a terminal illness and counts his days to death. They knew their lives would never be back to normal again. What will they do when aadit, Leela, and Samarth realize that the person who traumatized their childhood was back from his death to take what belongs to him? Are they strong enough to fight against him? What if there is more to their past that the three aren't aware of? Will they stick the pieces of the puzzle together before time runs out and save themselves? While they run behind their past to find the answers, aadit's motive is to save Tara, the love of his life. He believes tara's life is at stake. But what if he is too late? Will he be able to save her? In between, they happen to cross paths with tamannah, a mysterious person with her past. What she beholds might change the entire course of their life? But can they trust her? The question is, in the end, do they find what they seek?.
India plays a key role in addressing multilateral issues like climate change, terrorism, piracy, humanitarian crises, and nuclear disarmament. Scholarly work mapping India’s multilateral behaviour ranges from covering the United Nations to a wide range of fora where India seeks to influence issues that affect its security and development. Yet, there has been no serious exploration of how India concretely negotiates international rules. In this book, Karthik Nachiappan investigates how India negotiated four key multilateral agreements: The Framework Convention on Tobacco Control, The Framework Convention on Climate Change, The Comprehensive Test Ban Treaty, and the Uruguay Round Trade Agreement. Based on untapped primary sources including archival documents detailing how negotiations transpired, official records of the Lok Sabha and Rajya Sabha, a series of interviews with former Indian negotiators, and newspaper sources, Does India Negotiate? demonstrates that India’s multilateral behaviour is fundamentally strategic—working to shape and ratify international rules that advance core interests while resisting rules that harm those interests.
Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data. All practical demonstrations will be explored in R, a powerful programming language and software environment for statistical computing and graphics. The various packages and methods available in R will be used to explain the topics. For every machine learning algorithm covered in this book, a 3-D approach of theory, case-study and practice will be given. And where appropriate, the mathematics will be explained through visualization in R. All the images are available in color and hi-res as part of the code download. This new paradigm of teaching machine learning will bring about a radical change in perception for many of those who think this subject is difficult to learn. Though theory sometimes looks difficult, especially when there is heavy mathematics involved, the seamless flow from the theoretical aspects to example-driven learning provided in this book makes it easy for someone to connect the dots.. What You'll Learn Use the model building process flow Apply theoretical aspects of machine learning Review industry-based cae studies Understand ML algorithms using R Build machine learning models using Apache Hadoop and Spark Who This Book is For Data scientists, data science professionals and researchers in academia who want to understand the nuances of machine learning approaches/algorithms along with ways to see them in practice using R. The book will also benefit the readers who want to understand the technology behind implementing a scalable machine learning model using Apache Hadoop, Hive, Pig and Spark.
Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.
This book is a comprehensive overview of methods of characterizing the mechanical properties of engineering materials using specimen sizes in the micro-scale regime (0.3-5.0 mm). A range of issues associated with miniature specimen testing like correlation methodologies for data transferability between different specimen sizes, use of numerical simulation/analysis for data inversion, application to actual structures using scooped out samples or by in-situ testing, and more importantly developing a common code of practice are discussed and presented in a concise manner.
This book discusses the design and performance analysis of SDRAM controllers that cater to both real-time and best-effort applications, i.e. mixed-time-criticality memory controllers. The authors describe the state of the art, and then focus on an architecture template for reconfigurable memory controllers that addresses effectively the quickly evolving set of SDRAM standards, in terms of worst-case timing and power analysis, as well as implementation. A prototype implementation of the controller in SystemC and synthesizable VHDL for an FPGA development board are used as a proof of concept of the architecture template.
TOPICS IN THE BOOK Development of Digital Twins for Urban Water Systems AI-Enhanced Data Visualization: Transforming Complex Data into Actionable Insights Global Positioning System Signal Verification through Correlation Function Distortion and Received Power Tracking Risk Management in Agile Al/Ml Projects: Identifying and Mitigating Data and Model Risks Addressing Challenges in Test Automation Adoption: A Study on Strategies for Overcoming Barriers to Seamless QA Integration
This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. Key Features: A hands-on approach to modelling Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models Thoughtful exercises to test and enable understanding of concepts State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design Emphasis on coding and software tools for systems biology Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/ An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others.
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