This book is for novices If you have never done any programming before - if you are a complete novice - this book is for you. This book assumes no prior knowledge of programming. It starts from scratch. It is written in a simple, direct style for maximum clarity. It is aimed at first level students at universities and colleges, but it is also suitable for novices studying alone. The approach of this book We explain how to use objects early in this book. Our approach is to start with the ideas of variables, assignment and methods, then introduce the use of objects created from library classes. Next we explain how to use control structures for selection and looping. Then comes the treatment of how to write your own classes. We wanted to make sure that the fun element of programming was paramount, so we use graphics right from the start. We think graphics is fun, interesting and clearly demonstrates all the important principles of programming. But we haven't ignored programs that input and output text - they are also included. The programs we present use many of the features of a graphical user interfaces (GUIs), such as buttons, scroll bars and text boxes. But we also explain how to write console programs in Java. We introduce new ideas carefully one-at-a-time, rather than all at once. So, for example, there is a single chapter on writing methods. We introduce simple ideas early and more sophisticated ideas later on.

Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.

Resources designed to support learners of the new next generation BTEC First in Information Technology specification*. Covers all three mandatory units and a wide selection of optional units. Each unit of the Student Book is presented in topics to ensure the content is accessible and engaging for learners. Covers of all the underpinning knowledge and understanding needed at level 2 to ensure that learners are fully prepared for this course. Activities in each unit provide support and clear direction for learners and can be used in the classroom or for independent work. New Assessment Zone guides learners through both internal and external assessment. Practice assignments and assessment guidance help learners to achieve their potential in internally assessed units. * From 2012, Pearson's BTEC First qualifications have been under re-development, so schools and colleges could be teaching the existing 2010 specification or the new next generation 2012-2013 specification. There are different Student Books to support each specification. If learners are unsure, they should check with their teacher or tutor.

Universal UX Design: Building Multicultural User Experience provides an ideal guide as multicultural UX continues to emerge as a transdisciplinary field that, in addition to the traditional UI and corporate strategy concerns, includes socio/cultural and neurocognitive concerns that constitute one of the first steps in a truly global product strategy. In short, multicultural UX is no longer a nice-to-have in your overall UX strategy, it is now a must-have. This practical guide teaches readers about international concerns on the development of a uniquely branded, yet culturally appealing, software end-product. With hands-on examples throughout, readers will learn how to accurately predict user behavior, optimize layout and text elements, and integrate persuasive design in layout, as well as how to determine which strategies to communicate image and content more effectively, while demystifying the psychological and sociopolitical factors associated with culture. The book reviews the essentials of cognitive UI perception and how they are affected by socio-cultural conditioning, as well as how different cultural bias and expectations can work in UX design.

Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios. This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to design a combination of drugs under different constraints, and the applications of drug sensitivity prediction methodologies.

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies. Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal resource. This book addresses system immunity, regulation, infection, aging, evolution, and carcinogenesis, which are complicated biological systems with inconsistent findings in existing resources. These inconsistencies may reflect the underlying biology time-varying systems and signal transduction events that are often context-dependent, which raises a significant problem for mechanistic modeling since it is not clear which genes/proteins to include in models or experimental measurements. The book is a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in an in-depth understanding on how to process and apply great amounts of biological data to improve research.

Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without significant programming effort. Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book also helps users get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon for Intel (R) Xeon Phi (TM) as well). Downloadable example codes provide hands-on OpenACC experience for common problems in scientific, commercial, big-data, and real-time systems. Topics include writing reusable code, asynchronous capabilities, using libraries, multicore clusters, and much more. Each chapter explains how a specific aspect of OpenACC technology fits, how it works, and the pitfalls to avoid. Throughout, the book demonstrates how the use of simple working examples that can be adapted to solve application needs.

Evolution of Knowledge Science: Myth to Medicine: Intelligent Internet-Based Humanist Machines explains how to design and build the next generation of intelligent machines that solve social and environmental problems in a systematic, coherent, and optimal fashion. The book brings together principles from computer and communication sciences, electrical engineering, mathematics, physics, social sciences, and more to describe computer systems that deal with knowledge, its representation, and how to deal with knowledge centric objects. Readers will learn new tools and techniques to measure, enhance, and optimize artificial intelligence strategies for efficiently searching through vast knowledge bases, as well as how to ensure the security of information in open, easily accessible, and fast digital networks. Author Syed Ahamed joins the basic concepts from various disciplines to describe a robust and coherent knowledge sciences discipline that provides readers with tools, units, and measures to evaluate the flow of knowledge during course work or their research. He offers a unique academic and industrial perspective of the concurrent dynamic changes in computer and communication industries based upon his research. The author has experience both in industry and in teaching graduate level telecommunications and network architecture courses, particularly those dealing with applications of networks in education.

The Physics of Computing gives a foundational view of the physical principles underlying computers. Performance, power, thermal behavior, and reliability are all harder and harder to achieve as transistors shrink to nanometer scales. This book describes the physics of computing at all levels of abstraction from single gates to complete computer systems. It can be used as a course for juniors or seniors in computer engineering and electrical engineering, and can also be used to teach students in other scientific disciplines important concepts in computing. For electrical engineering, the book provides the fundamentals of computing that link core concepts to computing. For computer science, it provides foundations of key challenges such as power consumption, performance, and thermal. The book can also be used as a technical reference by professionals.

Can you imagine swapping your body for a virtual version? This technology-based look at the afterlife chronicles America's fascination with death and reveals how digital immortality may become a reality. The Internet has reinvented the paradigm of life and death: social media enables a discourse with loved ones long after their deaths, while gaming sites provide opportunities for multiple lives and life forms. In this thought-provoking work, author Kevin O'Neill examines America's concept of afterlife—as imagined in cyberspace—and considers how technologies designed to emulate immortality present serious challenges to our ideas about human identity and to our religious beliefs about heaven and hell. The first part of the work—covering the period between 1840 and 1860—addresses post-mortem photography, cemetery design, and spiritualism. The second section discusses Internet afterlife, including online memorials and cemeteries; social media legacy pages; and sites that curate passwords, bequests, and final requests. The work concludes with chapters on the transhumanist movement, the philosophical and religious debates about Internet immortality, and the study of technologies attempting to extend life long after the human form ceases.

Peering Carrier Ethernet Networks begins by providing background information on the evolution of important concepts and building blocks that have led to the current state of high bandwidth and high performance Ethernet technology in order to support current and emerging customer applications. The background information covered includes an overview of Public Switched Telephone Networks (PSTN) to describe circuit switching, multiplexing, and voice digitization that lead to the development of T1/T3 and SONET/SDH for transport. It interweaves these developments with changes in the regulatory regime. Additional coverage includes Carrier Ethernet networks' technical standards, which describe how service providers can offer services to off-net customers using peered Carrier Ethernet networks and a description of the taxonomy of customers and their current and emerging applications at Layer 2 and Layer 3 on peered Carrier Ethernet networks. The book concludes by describing next steps in Ethernet technology to meet growing demands and emerging trends.

Food is a necessary aspect of human life, and agriculture is crucial to any country's global economy. Because the food business is essential to both a country's economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.