This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today's state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals.

Intelligent Support for Computer Science Education presents the authors' research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp. Key Features: Includes a comprehensive and succinct overview of the Computer Science education landscape at all levels of education. Provides in-depth analysis of one-on-one human tutoring dialogues in introductory Computer Science at college level. Describes a scalable, plug-in based Intelligent Tutoring System architecture, portable to different topics and pedagogical strategies. Presents systematic, controlled evaluation of different versions of the system in ecologically valid settings (18 actual classes and their laboratory sessions). Provides a time-series analysis of student behavior when interacting with the system. This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors' work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software.

-Core textbook for technical and professional communication courses, providing a leaner and more innovative alternative to the current market leaders -Technical communication courses are increasingly common as core undergraduate courses throughout the US, and growing in Europe and Asia -Distinctive focus on design thinking approach to technical communication, and greater emphasis on collaboration skills and intercultural and international technical communication than competitors -Provides a leaner alternative to the competing 700-page textbooks -eResource includes instructor's manual with web links, exercises, and teaching guidance for face-to-face and online teaching

-Core textbook for technical and professional communication courses, providing a leaner and more innovative alternative to the current market leaders -Technical communication courses are increasingly common as core undergraduate courses throughout the US, and growing in Europe and Asia -Distinctive focus on design thinking approach to technical communication, and greater emphasis on collaboration skills and intercultural and international technical communication than competitors -Provides a leaner alternative to the competing 700-page textbooks -eResource includes instructor's manual with web links, exercises, and teaching guidance for face-to-face and online teaching

* Provides models of curricular integration and assessment practices to inform the design of and research on computational tools and practices. * Addresses critical areas of computational thinking such as challenges in implementation and unsubstantiated claims for effectiveness. * Covers a diversity of perspectives including unplugged CT, CT as a vehicle for learning, and CT in and across subjects.

This book provides valuable insights into the Kingdom of Saudi Arabia (KSA) through a comprehensive examination of Vision 2030, an ambitious economic plan by the KSA to reinvent and diversify its economy from a heavy dependence on hydrocarbon to knowledge-based resources. Research, Innovation and Entrepreneurship in Saudi Arabia: Vision 2030 discusses how this initiative will assist the government in achieving its envisioned goals by creating a culture of research, innovation and entrepreneurship. It studies the current state of the field as well as new policies and reforms in Saudi Arabia which encompass education systems, ICT infrastructure and a vibrant innovation landscape that includes academia, the public and private sectors and civil society. The authors present a number of real-life case studies as a model of inspiration for cross-sector development. The book provides a source of inspiration for other nations in studying the KSA's determined and ambitious plans as a country in a transitioning journey, from a natural resources-based economy towards a knowledge-based country with considerable diversification in all sectors. This book is a useful reference for students, researchers and policy and decision-makers in understanding Saudi innovation and the economic diversification ecosystem.

Uncertainty Quantification of Stochastic Defects in Materials investigates the uncertainty quantification methods for stochastic defects in material microstructures. It provides effective supplementary approaches for conventional experimental observation with the consideration of stochastic factors and uncertainty propagation. Pursuing a comprehensive numerical analytical system, this book establishes a fundamental framework for this topic, while emphasizing the importance of stochastic and uncertainty quantification analysis and the significant influence of microstructure defects on the material macro properties. Key Features Consists of two parts: one exploring methods and theories and the other detailing related examples Defines stochastic defects in materials and presents the uncertainty quantification for defect location, size, geometrical configuration, and instability Introduces general Monte Carlo methods, polynomial chaos expansion, stochastic finite element methods, and machine learning methods Provides a variety of examples to support the introduced methods and theories Applicable to MATLAB (R) and ANSYS software This book is intended for advanced students interested in material defect quantification methods and material reliability assessment, researchers investigating artificial material microstructure optimization, and engineers working on defect influence analysis and nondestructive defect testing.

Technology has always played a central role in international politics; it shapes the ways states fight during wartime and compete during peacetime. Today, rapid advancements have contributed to a widespread sense that the world is again on the precipice of a new technological era. Emerging technologies have inspired much speculative commentary, but academic scholarship can improve the discussion with disciplined theory-building and rigorous empirics. This book aims to contribute to the debate by exploring the role of technology - both military and non-military - in shaping international security. Specifically, the contributors to this edited volume aim to generate new theoretical insights into the relationship between technology and strategic stability, test them with sound empirical methods, and derive their implications for the coming technological age. This book is very novel in its approach. It covers a wide range of technologies, both old and new, rather than emphasizing a single technology. Furthermore, this volume looks at how new technologies might affect the broader dynamics of the international system rather than limiting the focus to a stability. The contributions to this volume walk readers through the likely effects of emerging technologies at each phase of the conflict process. The chapters begin with competition in peacetime, move to deterrence and coercion, and then explore the dynamics of crises, the outbreak of conflict, and war escalation in an environment of emerging technologies. The chapters in this book, except for the Introduction and the Conclusion, were originally published in the Journal of Strategic Studies.

* Appeals to those who want to understand how AI is being applied to improve healthcare delivery and patient outcomes. * Describes current trends in the application of AI in healthcare. * Useful to readers to initiate projects in to enable the application of AI in healthcare/medical domains. * Provides examples of AI being applied in medicine, population health, genomics, healthcare administration and delivery.

An easily digestible guide, Campus Emergency Preparedness: Meeting ICS and NIMS Compliance helps you develop and organize emergency operation plans. It incorporates the key components recommended by the Federal Emergency Management Agency (FEMA) and the US Department of Education and outlines the roles and responsibilities of campus personnel before, during, and after an emergency. Events covered include chemical spills, toxic gas releases, terrorist attacks, active shooter events, pandemics, floods, hurricanes, tornados, fires, and other natural or man-made hazards. The information in this book is extracted from FEMA and US Department of Education documents and training, as well as concepts and strategies from a cross-section of college and university emergency plans. These resources have been melded together to provide you with strategies for protecting, preventing, mitigating, responding, and recovering from threats and hazards that may occur at an institute of higher education. The book aids you in creating emergency response plans that comply with standards set by the ICS and NIMS. Ultimately, these are all-hazards strategies that can be applied to all phases of campus emergency management with efficient coordination among all levels of campus administration. Safety in higher education institution campuses is a critical issue today in the wake of several events in recent years. Campus Emergency Preparedness helps you work toward creating a campus environment that is as safe as possible for your students, faculty, and staff. It is a valuable source for anticipating and handling a broad range of emergencies.

The field of information technology continues to advance at a brisk pace, including the use of Remote Laboratory (RL) systems in education and research. To address the needs of remote laboratory development for such purposes, the authors present a new state-of-the-art unified framework for RL system development. Included are solutions to commonly encountered RL implementation issues such as third-party plugin, traversing firewalls, cross platform running, and scalability, etc. Additionally, the book introduces a new application architecture of remote lab for mobile-optimized RL application development for Mobile Learning (M-Learning). It also shows how to design and organize the remote experiments at different universities and make available a framework source code. The book is intended to serve as a complete guide for remote lab system design and implementation for an audience comprised of researchers, practitioners and students to enable them to rapidly and flexibly implement RL systems for a range of fields.

Threat actors, be they cyber criminals, terrorists, hacktivists or disgruntled employees, are employing sophisticated attack techniques and anti-forensics tools to cover their attacks and breach attempts. As emerging and hybrid technologies continue to influence daily business decisions, the proactive use of cyber forensics to better assess the risks that the exploitation of these technologies pose to enterprise-wide operations is rapidly becoming a strategic business objective. This book moves beyond the typical, technical approach to discussing cyber forensics processes and procedures. Instead, the authors examine how cyber forensics can be applied to identifying, collecting, and examining evidential data from emerging and hybrid technologies, while taking steps to proactively manage the influence and impact, as well as the policy and governance aspects of these technologies and their effect on business operations. A world-class team of cyber forensics researchers, investigators, practitioners and law enforcement professionals have come together to provide the reader with insights and recommendations into the proactive application of cyber forensic methodologies and procedures to both protect data and to identify digital evidence related to the misuse of these data. This book is an essential guide for both the technical and non-technical executive, manager, attorney, auditor, and general practitioner who is seeking an authoritative source on how cyber forensics may be applied to both evidential data collection and to proactively managing today's and tomorrow's emerging and hybrid technologies. The book will also serve as a primary or supplemental text in both under- and post-graduate academic programs addressing information, operational and emerging technologies, cyber forensics, networks, cloud computing and cybersecurity.

The author approaches an old classic problem - the existence of solutions of Navier-Stokes equations. The main objective is to model and derive of equation of continuity, Euler equation of fluid motion, energy flux equation, Navier-Stokes equations from the observer point of view and solve classic problem for this interpretation of fluid motion laws. If we have a piece of metal or a volume of liquid, the idea impresses itself upon us that it is divisible without limit, that any part of it, however small, would again have the same properties. But, wherever the methods of research in the physics of matter were refined sufficiently, limits to divisibility were reached that are not due to the inadequacy of our experiments but to the nature of the subject matter. Observability in mathematics were developed by the author based on denial of infinity idea. He introduces observers into arithmetic, and arithmetic becomes dependent on observers. And after that the basic mathematical parts also become dependent on observers. This approach permits to reconsider the fluid motion laws, analyze them and get solutions of classic problems. Table of Contents 1. Introduction. 2. Observability and Arithmetic. 3. Observability and Vector Algebra. 4. Observability and Mathematical Analysis (Calculus). 5. Classic Fluid Mechanics equations and Observability. 6. Observability and Thermodynamical equations. 7. Observability and equation of continuity. 8. Observability and Euler equation of motion of the fluid. 9. Observability and energy flux and moment flux equations. 10. Observability and incompressible fluids. 11. Observability and Navier-Stokes equations. 12. Observability and Relativistic Fluid Mechanics. 13. Appendix: Review of publications of the Mathematics with Observers. 14. Glossary. Bibliography Index Biography Boris Khots, DrSci, lives in Iowa, USA, Independent Researcher. Alma Mater - Moscow State Lomonosov University, Department of Mathematics and Mechanics (mech-math). Creator of Observer's Mathematics. Participant of more than 30 Mathematical international congresses, conferences. In particular, participated with presentation at International Congresses of Mathematicians on 1998 (Germany), 2002 (China), 2006 (Spain), 2010 (India), 2014 (South Korea). More than 150 mathematical books and papers.

*Information Technology for Management by Turban, Volonino, and Wood engages students with up-to-date coverage of the most important IT trends today. * Over the years, this leading IT textbook had distinguished itself with an emphasis on illustrating the use of cutting edge business technologies for achieving managerial goals and objectives. * The 10th Edition continues this tradition with coverage of emerging trends in Mobile Computing and Commerce, IT virtualization, Social Media, Cloud Computing and the Management and Analysis of Big Data along with advances in more established areas of Information Technology.

Boards and business leaders expect their key advisors to deliver fresh insights, and increasingly expect them to demonstrate foresight. To achieve what is expected, it is crucial to understand the dynamics of conversations in the boardroom and around the audit committee table. This book provides those unique perspectives. The journey from the 'mailroom to the boardroom' follows the story of a young banker who moved into the internal auditing profession as part of the 'new breed', then rose through the ranks into senior leadership and chief audit executive roles, before assuming audit committee and board roles that had an immense influence on governance, risk, compliance, and audit professionals. Success does not always follow a smooth and uneventful trajectory, and this story reflects insights from both the ups and the downs of the journey. Each chapter shares insights, better practices, case studies, practical examples, and real-life challenges and draws them together into 101 building blocks, each one providing crucial career-long learnings. The storytelling provides insights to people at all levels on the importance of positioning oneself to step into leadership roles, helps them understand how to evaluate and pursue potential career growth opportunities, provides tips on how to holistically manage and advance their career, and inspires higher-level thinking that enhances governance, risk, compliance and audit practices.

Provides an overview to futuristic research areas Explores various engineering optimization and multi-criteria decision making techniques Introduces a specific control framework for use in analyzing processes Covers problem-analyzing and solving skills Includes different types of composites materials, design considerations, and applications

You ve just purchased a TI-83 Plus calculator to assist in performing different types of mathematical equations now, how can you get the most out of it? You ll find the answer to this question with our comprehensive, 3-panel guide that shows in great detail what exactly the TI-83 Plus can do. Function key and mode descriptions, as well as problem-solving examples, are included within a color-coded format for easy reference.

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A resource on quantitative methods and methodologies for researchers, practitioners, and doctoral students Demonstrates, in a step-by-step fashion, the development of the theoretically sound general framework allowing for instantiating a variety of research models. Illustrates a process of constructing of a variety of methodological modules- components comprised of complementary quantitative data analytic methods Explores the negative societal effects of implications of ICT and discusses future research directions to mitigate such effects

This book seeks to generalize techniques and experiences in designing and analyzing cryptographic schemes for blockchain. It devotes three chapters to review the background and basic knowledge, four chapters to discuss specific types of cryptographic primitive design for blockchain, one chapter to discuss optimization tools and another chapter for blockchain regulation and economies. This book covers the systematic survey of research objects, as well as detailed reviews of cryptographic schemes, lectures and methodologies to practice cryptography. The main findings of this book are summarized as following, first, the practical design and analysis of cryptographic schemes for blockchain can address major problems in blockchain at algorithmic level. Then, some intrinsic deficiencies in some traditional cryptographic primitives, like centralized setup, impractical design, etc, prevent the successful application of these primitives in blockchain. However, huge efforts are being made to make these primitives practical and applicable for researchers. Finally, the formal and rigorous design and analysis of public key cryptographic algorithms is vital to blockchain. Design and Analysis of Cryptographic Algorithms in Blockchain is a useful textbook for graduate students and PhD students, or researches who wish to connect cryptography with blockchain for research and developing projects.

This book seeks to generalize techniques and experiences in designing and analyzing cryptographic schemes for blockchain. It devotes three chapters to review the background and basic knowledge, four chapters to discuss specific types of cryptographic primitive design for blockchain, one chapter to discuss optimization tools and another chapter for blockchain regulation and economies. This book covers the systematic survey of research objects, as well as detailed reviews of cryptographic schemes, lectures and methodologies to practice cryptography. The main findings of this book are summarized as following, first, the practical design and analysis of cryptographic schemes for blockchain can address major problems in blockchain at algorithmic level. Then, some intrinsic deficiencies in some traditional cryptographic primitives, like centralized setup, impractical design, etc, prevent the successful application of these primitives in blockchain. However, huge efforts are being made to make these primitives practical and applicable for researchers. Finally, the formal and rigorous design and analysis of public key cryptographic algorithms is vital to blockchain. Design and Analysis of Cryptographic Algorithms in Blockchain is a useful textbook for graduate students and PhD students, or researches who wish to connect cryptography with blockchain for research and developing projects.

Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established. Features Novel methods for machine translation and transliteration between related languages, supported with experiments on a wide variety of languages. An overview of past literature on machine translation for related languages. A case study about machine translation for related languages between 10 major languages from India, which is one of the most linguistically diverse country in the world. The book presents important concepts and methods for machine translation involving related languages. In general, it serves as a good reference to NLP for related languages. It is intended for students, researchers and professionals interested in Machine Translation, Translation Studies, Multilingual Computing Machine and Natural Language Processing. It can be used as reference reading for courses in NLP and machine translation. Anoop Kunchukuttan is a Senior Applied Researcher at Microsoft India. His research spans various areas on multilingual and low-resource NLP. Pushpak Bhattacharyya is a Professor at the Department of Computer Science, IIT Bombay. His research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). Prof. Bhattacharyya has published more than 350 research papers in various areas of NLP.

Highlights cultural differences in terms of Quality of Life Provides a guide to the current field of global well-being and to future research Suggests improvements in Quality of Life Recognizes the presence of cultural differences resulting from social status, age, gender, class, race, and ethnicity Offers background information for governments, professionals, and policy makers

Based on the practical experiences of its authors, who collectively have spent several decades teaching software skills to scientists. Readers only need a basic understanding of Python includes over a hundred exercises to allow readers to practice their skills