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Books > Computing & IT > Computer hardware & operating systems
Managing Apple Devices, Third Edition will enable you to create an effective plan for deploying and maintaining groups of Apple devices using iOS 9 and OS X El Capitan in your organization. This all-in-one resource teaches a wide variety of Apple management technologies; explains the theory behind the tools; and provides practical, hand-on exercises to get you up and running with the tools. You will be introduced to Apple management technologies including Mobile Device Management, the Volume Purchase Program, and the Device Enrollment Program. For example, not only will you learn how to use Profile Manager-Apple's implementation of Mobile Device Management-but you will also learn about the ideas behind profile management and how to make configuration easier for both administrators and users while maintaining a highly secure environment. The exercises contained within this guide are designed to let you explore and learn the tools provided by Apple for deploying and managing iOS 9 and OS X El Capitan systems. They start with verification of access to necessary services, move on to the configuration of those services, and finally test the results of those services on client devices. Each lesson builds on previous topics and is designed to give technical coordinators and system administrators the skills, tools, and knowledge to deploy and maintain Apple devices by: Providing knowledge of how Apple deployment technologies work Showing how to use specific deployment tools Explaining deployment procedures and best practices Offering practical exercises step-by-step solutions available
This book discusses design techniques, layout details and measurements of several key analog building blocks that currently limit the performance of 5G and E-Band transceivers implemented in deep-scaled CMOS. The authors present recent developments in low-noise quadrature VCOs and tunable inductor-less frequency dividers. Moreover, the design of low-loss broadband transformer-based filters that realize inter-stage matching, power division/combining and impedance transformation is discussed in great detail. The design and measurements of a low-noise amplifier, a downconverter and a highly-linear power amplifier that leverage the proposed techniques are shown. All the prototypes were realized in advanced nanometer scaled CMOS technologies without RF thick to metal option.
Digital transformation (DT) has become a buzzword. Every industry segment across the globe is consciously jumping toward digital innovation and disruption to get ahead of their competitors. In other words, every aspect of running a business is being digitally empowered to reap all the benefits of the digital paradigm. All kinds of digitally enabled businesses across the globe are intrinsically capable of achieving bigger and better things for their constituents. Their consumers, clients, and customers will realize immense benefits with real digital transformation initiatives and implementations. The much-awaited business transformation can be easily and elegantly accomplished with a workable and winnable digital transformation strategy, plan, and execution. There are several enablers and accelerators for realizing the much-discussed digital transformation. There are a lot of digitization and digitalization technologies available to streamline and speed up the process of the required transformation. Industrial Internet of Things (IIoT) technologies in close association with decisive advancements in the artificial intelligence (AI) space can bring forth the desired transitions. The other prominent and dominant technologies toward forming digital organizations include cloud IT, edge/fog computing, real-time data analytics platforms, blockchain technology, digital twin paradigm, virtual and augmented reality (VR/AR) techniques, enterprise mobility, and 5G communication. These technological innovations are intrinsically competent and versatile enough to fulfill the varying requirements for establishing and sustaining digital enterprises. Enterprise Digital Transformation: Technology, Tools, and Use Cases features chapters on the evolving aspects of digital transformation and intelligence. It covers the unique competencies of digitally transformed enterprises, IIoT use cases, and applications. It explains promising technological solutions widely associated with digital innovation and disruption. The book focuses on setting up and sustaining smart factories that are fulfilling the Industry 4.0 vision that is realized through the IIoT and allied technologies.
This textbook was written from the perspective of someone who began his software security career in 2005, long before the industry began focusing on it. This is an excellent perspective for students who want to learn about securing application development. After having made all the rookie mistakes, the author realized that software security is a human factors issue rather than a technical or process issue alone. Throwing technology into an environment that expects people to deal with it but failing to prepare them technically and psychologically with the knowledge and skills needed is a certain recipe for bad results. Practical Security for Agile and DevOps is a collection of best practices and effective implementation recommendations that are proven to work. The text leaves the boring details of software security theory out of the discussion as much as possible to concentrate on practical applied software security that is useful to professionals. It is as much a book for students' own benefit as it is for the benefit of their academic careers and organizations. Professionals who are skilled in secure and resilient software development and related tasks are in tremendous demand. This demand will increase exponentially for the foreseeable future. As students integrate the text's best practices into their daily duties, their value increases to their companies, management, community, and industry. The textbook was written for the following readers: Students in higher education programs in business or engineering disciplines AppSec architects and program managers in information security organizations Enterprise architecture teams with a focus on application development Scrum Teams including: Scrum Masters Engineers/developers Analysts Architects Testers DevOps teams Product owners and their management Project managers Application security auditors Agile coaches and trainers Instructors and trainers in academia and private organizations
Provides overview of security challenges of IoT and mitigation techniques with a focus on authorization and access control mechanisms Discusses behavioural analysis of threats and attacks using UML base modelling Covers use of Oauth2.0 Protocol and UMA for connecting web applications Includes Role Based Access Control (RBAC), Discretionary Access Control (DAC), Mandatory Access Control (MAC), and Permission Based Access Control (PBAC) Explores how to provide access to third party web applications through resource server by use of secured and reliable Oauth2.0 framework
"Heterogeneous Computing with OpenCL "teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL
communities, this book will give you hands-on OpenCL experience to
address a range of fundamental parallel algorithms. The authors
explore memory spaces, optimization techniques, graphics
interoperability, extensions, and debugging and profiling. Intended
to support a parallel programming course, "Heterogeneous Computing
with OpenCL" includes detailed examples throughout, plus additional
online exercises and other supporting materials.
Core Data is intricate, powerful, and necessary. Discover the powerful capabilities integrated into Core Data, and how to use Core Data in your iOS and OS X projects. All examples are current for OS X El Capitan, iOS 9, and the latest release of Core Data. All the code is written in Swift, including numerous examples of how best to integrate Core Data with Apple's newest programming language. Core Data expert Marcus Zarra walks you through a fully developed application based around the Core Data APIs. You'll build on this application throughout the book, learning key Core Data elements such as NSPredicate, NSFetchRequest, thread management, and memory management. Start with the basics of Core Data and learn how to use it to develop your application. Then delve deep into the API details. Explore how to get Core Data integrated into your application properly, and work with this flexible API to create convenience methods to improve your application's maintainability. Reduce your migration difficulties, integrate your Core Data app with iCloud and Watch Kit, and use Core Data in a queue-based environment.By the end of the book, you'll have built a full-featured application, gained a complete understanding of Core Data, and learned how to integrate your application into the iPhone/iPad platform. This book is based on Core Data in Objective-C, Third Edition. It focuses on Swift and adds an additional chapter on how to integrate Core Data with an efficient network implementation, with best practices on how to load and pre-load data into your Swift application
Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naive, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making
This book summarizes the key scientific outcomes of the Horizon 2020 research project TULIPP: Towards Ubiquitous Low-power Image Processing Platforms. The main focus lies on the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications. The holistic TULIPP approach is described in the book, which addresses hardware platforms, programming tools and embedded operating systems. Several of the results are available as open-source hardware/software for the community. The results are evaluated with several use cases taken from real-world applications in key domains such as Unmanned Aerial Vehicles (UAVs), robotics, space and medicine. Discusses the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications; Covers the hardware architecture of embedded image processing systems, novel methods, tools and libraries for programming those systems as well as embedded operating systems to manage those systems; Demonstrates results with several challenging applications, such as medical systems, robotics, drones and automotive.
As we continue to build faster and fast. er computers, their performance is be coming increasingly dependent on the memory hierarchy. Both the clock speed of the machine and its throughput per clock depend heavily on the memory hierarchy. The time to complet. e a cache acce88 is oft. en the factor that det. er mines the cycle time. The effectiveness of the hierarchy in keeping the average cost of a reference down has a major impact on how close the sustained per formance is to the peak performance. Small changes in the performance of the memory hierarchy cause large changes in overall system performance. The strong growth of ruse machines, whose performance is more tightly coupled to the memory hierarchy, has created increasing demand for high performance memory systems. This trend is likely to accelerate: the improvements in main memory performance will be small compared to the improvements in processor performance. This difference will lead to an increasing gap between prOCe880r cycle time and main memory acce. time. This gap must be closed by improving the memory hierarchy. Computer architects have attacked this gap by designing machines with cache sizes an order of magnitude larger than those appearing five years ago. Microproce880r-based RISe systems now have caches that rival the size of those in mainframes and supercomputers."
Inclusive Development of Society contains papers that were originally presented at the 2018 International Congress on Management and Technology in Knowledge, Service, Tourism & Hospitality (SERVE 2018), held 6-7 October and 15-16 December 2018 in Kuta, Bali, Indonesia and 18-19 October, 2018 at The Southern Federal University, Rostov-on-don, Russia. The contributions deal with various interdisciplinary research topics, particularly in the fields of social sciences, economics and the arts. The papers focus especially on such topics as language, cultural studies, economics, behavior studies, political sciences, media and communication, psychology and human development. The theoretical research studies included here should provide a solid foundation for the development of new tools that explore the possibilities of developing tourism, hospitality, service industries in Knowledge Economic Era, and the empirical papers will advance our knowledge regarding the impact of information technologies in organizations' and institutions' practices. These proceedings should be of interest to academics and professionals in the wider field of social sciences, including disciplines such as education, psychology, tourism and knowledge management.
With the rapid development and drastic change of the world economy, "Digital Finance", "Internet Finance", "Science and Technology Finance" have become new hotspots, which also represent the future trend of economy development in the era of big data. Enterprises are facing more uncertainty, opportunities coexist with challenges. There are more possibilities for economic development and enterprise management to accelerate the integration of cutting-edge research results, to deepen hot topics discussion and to promote opinion exchanges among academic and business circles. The Sixth International Conference on Economic and Business Management (FEBM2021) was successfully held online on October 16-17, 2021, and aimed to provide a platform for researchers, engineers, academics as well as industry professionals from all over the world to present their latest research findings and development activities in economic and business management. These proceedings include 51 accepted articles selected from 94 submissions.
In this book, Edosa explores common challenges which limit the value that organisations can get from data. What makes his book unique is that he also tackles one of the unspoken barriers to data adoption-fear. Fear of the unknown, fear of the intangible, fear of the investment needed and, yes, fear of losing your job to a machine. With his talent for distilling clarity from complexity, Edosa tackles this and many other challenges. -Tim Carmichael, Chief Data Officer, Chalhoub Group This book offers fresh insight about how to solve the interactional frictions that hamper the flow of data, information and knowledge across organisations. Yet, rather than being stuck with endless polarising debates such as breaking down silos, it shifts focus back towards the ultimate "to what end." -Jacky Wright, Chief Digital Officer (CDO), Microsoft US If you care about AI transformation, empowering people or advancing organisational success in an increasingly digital world, then you should read this book. -Yomi Ibosiola, Chief Data and Analytics Officer, Union Bank A retail giant already struggling due to the Covid-19 pandemic was faced with a disastrous situation when-at the end of a critical investment in an artificial intelligence project that had been meant to save money-it suddenly discovered that its implementation was likely to leave it worse off. An entire critical service stream within an insurer's production system crashed. This critical failure resulted in the detentions of fully insured motorists for allegedly not carrying required insurance. Making Data Work details these two scenarios as well as others illustrating the consequences that arise when organizations do not know how to make data work properly. It is a journey to determine what to do to "make data work" for ourselves and for our organisations. It is a journey to discover how to bring it all together so organisations can enable digital transformation, empower people, and advance organisational success. It is the journey to a world where data and technology finally live up to the hype and deliver better human outcomes, where artificial intelligence can move us from reacting to situations to predicting future occurrences and enabling desirable possibilities.
It is now possible to gain competitive advantages based on consolidated R/3 system implementations. One of the most important optimisation aspects is a more consistent process integration in order to bring about fast, secure and cost effective business processes. This approach inevitably leads to Workflow Management and for SAP users to SAP® WebFlow®. This book introduces the topic of Workflow Management, gives an overview of the technical possibilities of SAP® WebFlow® and allows the reader to assess SAP workflow project risks and costs/benefits based on real life examples. Check lists and technical hints not only aid the reader in evaluating potential projects but also in the management of real life workflow project engineering.
Data is an intrinsic part of our daily lives. Everything we do is a data point. Many of these data points are recorded with the intent to help us lead more efficient lives. We have apps that track our workouts, sleep, food intake, and personal finance. We use the data to make changes to our lives based on goals we have set for ourselves. Businesses use vast collections of data to determine strategy and marketing. Data scientists take data, analyze it, and create models to help solve problems. You may have heard of companies having data management teams or chief information officers (CIOs) or chief data officers (CDOs), etc. They are all people who work with data, but their function is more related to vetting data and preparing it for use by data scientists. The jump from personal data usage for self-betterment to mass data analysis for business process improvement often feels bigger to us than it is. In turn, we often think big data analysis requires tools held only by advanced degree holders. Although advanced degrees are certainly valuable, this book illustrates how it is not a requirement to adequately run a data science project. Because we are all already data users, with some simple strategies and exposure to basic analytical software programs, anyone who has the proper tools and determination can solve data science problems. The process presented in this book will help empower individuals to work on and solve data-related challenges. The goal of this book is to provide a step-by-step guide to the data science process so that you can feel confident in leading your own data science project. To aid with clarity and understanding, the author presents a fictional restaurant chain to use as a case study, illustrating how the various topics discussed can be applied. Essentially, this book helps traditional businesspeople solve data-related problems on their own without any hesitation or fear. The powerful methods are presented in the form of conversations, examples, and case studies. The conversational style is engaging and provides clarity.
The insertion of communication networks in feedback control loops complicates analysis and synthesis of cyber-physical systems (CPSs), and network-induced uncertainties may degrade system control performance. Thus, this book researches networked delay compensation and event-triggered control approaches for a series of CPSs subject to network-induced uncertainties. The authors begin with an introduction to the concepts and challenges of CPSs, followed by an overview of networked control approaches and event-triggered control strategies in CPSs. Then, networked delay compensation and event-triggered control approaches are proposed for CPSs with network communication delay, data dropout, signal quantization, and event-triggered communication. More specifically, networked delay compensation approaches are proposed for linear/nonlinear networked controlled plants with time-varying and random network communication delays and data dropouts. To reduce computational burden and network communication loads in CPSs, event-triggered control, self-triggered control, co-design of event-triggered control and quantized control techniques, and event-triggered disturbance rejection control approaches are also presented. This book is an essential text for researchers and engineers interested in cybersecurity, networked control, and CPSs. It would also prove useful for graduate students in the fields of science, engineering, and computer science.
When a $145 million IT project failure pushes Los Angeles to the edge of financial meltdown, the County CEO asks Max McLellan, a harried IT project manager, aka The Integrator, for help. The County Board gives Max 30 days to identify the problem and find a solution. At first Max finds the usual missteps, but something bigger and darker beckons, an explosive source of project failure. He must do something different, rattling ghosts of previous County IT failures, uncloaking crookedness, and exposing truths that shatter careers. With some people rooting for his failure, Max battles to fit all the pieces together with the County team, applying his proven framework to define the problem, plan a solution and execute it successfully. It's common knowledge that barely 50% of IT projects succeed, per a 2017 Project Management Institute report. Equally well-known, approximately 70% of large-scale change management initiatives fail according to a 2017 McKinsey & Co. report. Given the challenge to overcome these low success rates, The Integrator offers a proven narrative on the organizational change framework for achieving Agile IT project management success based on the author's 45+ year client experiences and published research. The Integrator defines change management as the single overarching methodology integrating Agile IT and project management. It does this because all projects are about change - significant organizational and personal change. The people involved - their participation in and understanding and support of these changes - ultimately determine IT projects success or failure. In fact, while all IT projects are about change, successful projects change human behavior. The methodologies included in the framework, described in The Integrator, include: * Change management as defined by AIM (Accelerating Implementation Methodology). * Project management as defined by the Project Management Institute (PMI) Guide to the Project Management Body of Knowledge (PMBOK Guide) standard. * IT management as derived from the Institute of Electrical Engineers (IEEE) Guide to the Software Engineering Body of Knowledge (SWEBOK) standard. * Agile as defined by the Agile Alliance's Agile Manifesto. Written by a certified Project Management Professional and accredited change management practitioner, The Integrator chronicles the challenges involved in applying this framework in a real-world setting to achieve successful project implementation.
This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings. Advances in computing power along with the widespread availability of data have led process industries to consider a new paradigm for automated and more efficient operations. The book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to problems such as process scheduling and design under global uncertainty. It also proposes a systematic framework for the uncertainty-aware integration of planning, scheduling and control, based on the judicious coupling of reactive and proactive methods. Using these developments, the book demonstrates how the integration of different decision-making layers and their simultaneous optimisation can enhance industrial process operations and their economic resilience in the face of uncertainty.
This book introduces readers to the latest advances in sensing technology for a broad range of non-volatile memories (NVMs). Challenges across the memory technologies are highlighted and their solutions in mature technology are discussed, enabling innovation of sensing technologies for future NVMs. Coverage includes sensing techniques ranging from well-established NVMs such as hard disk, flash, Magnetic RAM (MRAM) to emerging NVMs such as ReRAM, STTRAM, FeRAM and Domain Wall Memory will be covered.
Despite the astonishing technological developments in our times, it is surprising how little has changed in the way organizations are structured and managed. However, organizations are finally changing as they embark on agile transformations. Agility concepts emerged from the dynamics of project management and have evolved as they are being applied to organizational structure and operations. This phase of the agile evolution is known as enterprise agility. Filled with real-world scenarios and company case studies, Enterprise Agility: A Practical Guide to Agile Business Management covers the evolution of agility, including applied processes, lessons learned and realized outcomes. The book starts with the initial phase of the agile evolution, project agility and describes how waterfall project management is transformed into scrum, which can have positive effects on project timelines, scope and budget, as well as team motivation. The second phase of agility, organizational agility, is the evolution of the agile principles from temporary projects to permanent organizational structures. The book explains the main components of organizational agility, including structures, roles and ways of organizing work. It emphasizes the advantages of transitioning from traditional organizational management to agile. Finally, the latest phase, enterprise agility, transforms each function of the organization. The book acts as a guide and describes the change through the lens of each managerial domain (sales, marketing, HR, finance etc.) and by presenting the positive impact generated on the company's overall performance based on case studies. The last chapter illustrates the enablers of this transformation and how they can help the change to be internalized so that the enterprises realize improvements. The book is based on the author's over 15 years of experience of supporting more than 25 companies in varied sectors on their transformational journey, with the last 5 years concentrating on agility. By combining business management trends and principles of agile business development, it shows managers how to lead the transformation to enterprise agility by following the path from project agility to full enterprise agility.
Even though Six Sigma programs have successfully been implemented in practice, many IT departments remain skeptical of the process or are unaware of how the tools can be used to improve system development. Removing the mystique surrounding this technique, Six Sigma Software Development, Second Edition demonstrates how Six Sigma tools and concepts can be used to enhance the system development process. Revised and updated, this second edition clearly explains Six Sigma concepts and their application, maps Six Sigma concepts and tools to all aspects of system development, and proposes the use of Six Sigma tools to evaluate and improve the overall performance of the IT department. In addition to classic Six Sigma, the book introduces Design for Six Sigma (DFSS) and illustrates when and how its tools and techniques can be used to increase the robustness and reliability of a new system. It also shows how the judicious application of lean tools can reduce the complexity of IT processes, thus shortening the time needed to translate customer requirements into completed systems and increasing customer satisfaction.
This book explores the most significant computational methods and the history of their development. It begins with the earliest mathematical / numerical achievements made by the Babylonians and the Greeks, followed by the period beginning in the 16th century. For several centuries the main scientific challenge concerned the mechanics of planetary dynamics, and the book describes the basic numerical methods of that time. In turn, at the end of the Second World War scientific computing took a giant step forward with the advent of electronic computers, which greatly accelerated the development of numerical methods. As a result, scientific computing became established as a third scientific method in addition to the two traditional branches: theory and experimentation. The book traces numerical methods' journey back to their origins and to the people who invented them, while also briefly examining the development of electronic computers over the years. Featuring 163 references and more than 100 figures, many of them portraits or photos of key historical figures, the book provides a unique historical perspective on the general field of scientific computing - making it a valuable resource for all students and professionals interested in the history of numerical analysis and computing, and for a broader readership alike.
INCLUYE CD ROM- PRINCIPIANTE INTERMEIDO La forma inteligente de aprender Microsoft Project, paso a paso. Una forma facil y rapida de aprender por uno mismo como utilizar la gestion de los proyectos en Microsoft Project 2002. Con el "paso a paso" puede estudiar solamente aquellas lecciones que sean necesarias, o trabajar desde la primera leccion hasta la ultima. En ambos casos, sera capaz de practicar y adquirir los conocimientose en el momento que lo considere oportuno. CON ESTE LIBRO: - Desarrolle un plan de proyecto con tareas, recursos y asignaciones. - Aprenda las tecnicas para gestionar varios proyectos y dependencias. - Colabore utilizando Microsoft Project Server y Microsoft Project Access Web. - Domine las herramientas para presentar su plan y crear informes. - Lleve a cabo un seguimiento del progreso y los costes y realice ajustes en tiempo real. - Amplie ademas sus conocimientos de gestion de proyectos con el curso rapido del apendice. El libro incluye un CD-ROM con versiones de prueba de Microsoft Project 2002 Standard y Server totalmente funcionales durante 60 dias, mas los archivos de practica
Features: A systematic and comprehensive understanding of the Block chain technology and the potential in Healthcare. How security and privacy concerns of healthcare data can be addressed using Blockchain Technology. Concept of smart contracts for performing advance level scripting to create a blockchain network for providing a platform for the development of decentralized applications is discussed Chapter on role of blockchain based insurance application using Ethereum/Hyperledger is included Use cases of blockchain for various aspects of drug manufacturing and pharma supply chain..
1. An up-to-date reference on Red Hat 8 with comparisons to Red Hat's 7 and 6 when warranted. 2. A combination of how to use and administer Linux and operating systems concepts (making this text unique to Linux textbooks) written in an easy-to-read manner. 3. Improved chapters on computer networks, regular expressions and scripting. Revised and additional examples to support the concepts in these chapters. 4. Comparisons between Red Hat Linux and other Linux distributions when such comparisons will be useful. 5. A set of ancillary material including a complete lab manual, text bank, power point notes, glossary of terms, instructor's manual and supplemental readings. The supplemental readings will allow for a smaller book while still retaining all of the important content. 6. Improved chapter reviews, added end-of-section activities, additional tables, improved figures (where possible) and "did you know" boxes inserted to provide useful facts. |
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