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Books > Computing & IT > Applications of computing
Deep learning has revealed ways to create algorithms for applications that we never dreamed were possible. For software developers, the challenge lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Design Patterns is here to help. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Written by Google deep learning expert Andrew Ferlitsch, it's filled with the latest deep learning insights and best practices from his work with Google Cloud AI. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. about the technologyYou don't need to design your deep learning applications from scratch! By viewing cutting-edge deep learning models as design patterns, developers can speed up their creation of AI models and improve model understandability for both themselves and other users. about the book Deep Learning Design Patterns distills models from the latest research papers into practical design patterns applicable to enterprise AI projects. Using diagrams, code samples, and easy-to-understand language, Google Cloud AI expert Andrew Ferlitsch shares insights from state-of-the-art neural networks. You'll learn how to integrate design patterns into deep learning systems from some amazing examples, including a real-estate program that can evaluate house prices just from uploaded photos and a speaking AI capable of delivering live sports broadcasting. Building on your existing deep learning knowledge, you'll quickly learn to incorporate the very latest models and techniques into your apps as idiomatic, composable, and reusable design patterns. what's inside Internal functioning of modern convolutional neural networks Procedural reuse design pattern for CNN architectures Models for mobile and IoT devices Composable design pattern for automatic learning methods Assembling large-scale model deployments Complete code samples and example notebooks Accompanying YouTube videos about the readerFor machine learning engineers familiar with Python and deep learning. about the author Andrew Ferlitsch is an expert on computer vision and deep learning at Google Cloud AI Developer Relations. He was formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he amassed 115 US patents and worked on emerging technologies in telepresence, augmented reality, digital signage, and autonomous vehicles. In his present role, he reaches out to developer communities, corporations and universities, teaching deep learning and evangelizing Google's AI technologies.
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.
Advanced Simulation of Alternative Energy: Simulations with Simulink (R) and SimPowerSystems (TM) considers models of new and promising installations of renewable energy sources, as well as the new trends in this technical field. The book is focused on wind generators with multiphase generators, models of different offshore parks, wind shear and tower shadow effect, active damping, system inertia support, synchronverter modeling, photovoltaic cells with cascaded H-Bridge multilevel inverters, operation of fuel cells with electrolyzers and microturbines, utilization of ocean wave and ocean tide energy sources, pumped storage hydropower simulation, and simulation of some hybrid systems. Simulink (R) and its toolbox, SimPowerSystems (TM) (its new name Electrical/Specialized Power Systems), are the most popular means for simulation of these systems. More than 100 models of the renewable energy systems that are made with use of this program environment are appended to the book. The aims of these models are to aid students studying various electrical engineering fields including industrial electronics, electrical machines, electrical drives, and production and distribution of electrical energy; to facilitate the understanding of various renewable energy system functions; and to create a platform for the development of systems by readers in their fields. This book can be used by engineers and investigators as well as undergraduate and graduate students to develop new electrical systems and investigate the existing ones.
Are Amazon Alexa and Google Home limited to our bedrooms, or can they be used in hospitals? Do you envision a future where physicians work hand-in-hand with voice AI to revolutionize healthcare delivery? In the near future, clinical smart assistants will be able to automate many manual hospital tasks-and this will be only the beginning of the changes to come. Voice AI is the future of physician-machine interaction and this Focus book provides invaluable insight on its next frontier. It begins with a brief history and current implementations of voice-activated assistants and illustrates why clinical voice AI is at its inflection point. Next, it describes how the authors built the world's first smart surgical assistant using an off-the-shelf smart home device, outlining the implementation process in the operating room. From quantitative metrics to surgeons' feedback, the authors discuss the feasibility of this technology in the surgical setting. The book then provides an in-depth development guideline for engineers and clinicians desiring to develop their own smart surgical assistants. Lastly, the authors delve into their experiences in translating voice AI into the clinical setting and reflect on the challenges and merits of this pursuit. The world's first smart surgical assistant has not only reduced surgical time but eliminated major touch points in the operating room, resulting in positive, significant implications for patient outcomes and surgery costs. From clinicians eager for insight on the next digital health revolution to developers interested in building the next clinical voice AI, this book offers a guide for both audiences.
Created with the input of a distinguished International Board of
the foremost authorities in data mining from academia and industry,
"The Handbook of Data Mining" presents comprehensive coverage of
data mining concepts and techniques. Algorithms, methodologies,
management issues, and tools are all illustrated through engaging
examples and real-world applications to ease understanding of the
materials.
Suitable for those new to nonlinear editing as well as experienced
editors new to Final Cut Express, this book is an introduction to
Apple's editing software package and the digital video format in
general. You will come away with not only an in-depth knowledge of
how to use Final Cut Express, but also a deeper understanding of
the craft of editing and the underlying technical processes that
will serve you well in future projects.
This book examines the brief yet accelerated evolution of newsgames, a genre that has emerged from puzzles, quizzes, and interactives augmenting digital journalism into full-fledged immersive video games from open-world designs to virtual reality experiences. Critics have raised questions about the credibility and ethics of transforming serious news stories of political consequence into entertainment media, and the risks of trivializing grave and catastrophic events into mere games. Dowling explores both the negatives of newsgames, and how the use of entertainment media forms and their narrative methods mainly associated with fiction can add new and potentially more powerful meaning to news than traditional formats allow. The book also explores how industrial and cultural shifts in the digital publishing industry have enabled newsgames to evolve in a manner that strengthens certain core principles of journalism, particularly advocacy on behalf of marginalized and oppressed groups. Cutting-edge and thoughtful, The Gamification of Digital Journalism is a must-read for scholars, researchers, and practitioners interested in multimedia journalism and immersive storytelling.
Although many books have been written about Mathematica, very few of them cover the new functionality added to the most recent versions of the program. This thoroughly revised second edition of Mathematica Beyond Mathematics: The Wolfram Language in the Real World introduces the new features using real-world examples based on the experience of the author as a consultant and Wolfram certified instructor. The examples strike a balance between relevance and difficulty in terms of Mathematica syntax, allowing readers to incrementally build up their Mathematica skills as they go through the chapters While reading this book, you will also learn more about the Wolfram Language and how to use it to solve a wide variety of problems. The author raises questions from a wide range of topics and answers them by taking full advantage of Mathematica's latest features. For example: What sources of energy does the world really use? Are our cities getting warmer? Is the novel El Quixote written in Pi? Is it possible to reliably date the Earth using radioactive isotopes? How can we find planets outside our solar system? How can we model epidemics, earthquakes and other natural phenomena? What is the best way to compare organisms genetically? This new edition introduces the new capabilities added to the latest version of Mathematica (version 13), and discusses new topics related to machine learning, big data, finance economics, and physics. New to the Second Edition Separate sections containing carefully selected additional resources that can be accessed from either Mathematica or online Online Supplementary materials including code snippets used in the book and additional examples. Updated commands to take full advantage of Mathematica 13.
The new emphasis on physical security resulting from the terrorist threat has forced many information security professionals to struggle to maintain their organization's focus on protecting information assets. In order to command attention, they need to emphasize the broader role of information security in the strategy of their companies. Until now, however, most books about strategy and planning have focused on the production side of the business, rather than operations.
Whether the source is more industry-based or academic research, there certainly appears to be a growing interest in the field of cryptocurrency. The New York Times had a cover story on March 24, 2022, titled "Time to Enter the Crypto Zone?," and they talked about institutional investors pouring billions into digital tokens, salaries being taken in Bitcoins, and even Bitcoin ATMs in grocery stores. Certainly, there have been ups and downs in crypto, but it has a kind of alluring presence that tempts one to include crypto as part of one’s portfolio. Those who are "prime crypto-curious" investors are usually familiar with the tech/pop culture and feel they want to diversify a bit in this fast-moving market. Even universities are beginning to offer more courses and create "Centers on Cryptocurrency." Some universities are even requiring their students who take a crypto course to pay the course tuition via cryptocurrency. In response to the growing interest and fascination about the crypto industry and cryptocurrency in general, Cryptocurrency Concepts, Technology, and Applications brings together many leading worldwide contributors to discuss a broad range of issues associated with cryptocurrency. The book covers a wide array of crypto-related topics, including: Blockchain NFTs Data analytics and AI Crypto crime Crypto industry and regulation Crypto and public choice Consumer confidence Bitcoin and other cryptocurrencies. Presenting various viewpoints on where the crypto industry is heading, this timely book points out both the advantages and limitations of this emerging field. It is an easy-to-read, yet comprehensive, overview of cryptocurrency in the U.S. and international markets.
Cybersecurity risk is a top-of-the-house issue for all organizations. Cybertax-Managing the Risks and Results is a must read for every current or aspiring executive seeking the best way to manage and mitigate cybersecurity risk. It examines cybersecurity as a tax on the organization and charts the best ways leadership can be cybertax efficient. Viewing cybersecurity through the cybertax lens provides an effective way for non-cybersecurity experts in leadership to manage and govern cybersecurity in their organizations The book outlines questions and leadership techniques to gain the relevant information to manage cybersecurity threats and risk. The book enables executives to: Understand cybersecurity risk from a business perspective Understand cybersecurity risk as a tax (cybertax) Understand the cybersecurity threat landscape Drive business-driven questions and metrics for managing cybersecurity risk Understand the Seven C's for managing cybersecurity risk Governing the cybersecurity function is as important as governing finance, sales, human resources, and other key leadership responsibilities Executive leadership needs to manage cybersecurity risk like they manage other critical risks, such as sales, finances, resources, and competition. This book puts managing cybersecurity risk on an even plane with these other significant risks that demand leader ships' attention. The authors strive to demystify cybersecurity to bridge the chasm from the top-of-the-house to the cybersecurity function. This book delivers actionable advice and metrics to measure and evaluate cybersecurity effectiveness across your organization.
Pulling aside the curtain of 'Big Data' buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes. Bad data begets bad decisions, and an understanding of data fundamentals - how data is generated, organized, stored, evaluated, and maintained - has never been more important when solving problems such as the pandemic-related supply chain crisis. This book addresses the data-related challenges that businesses face, answering questions such as: What are the characteristics of high-quality data? How do you get from bad data to good data? What procedures and practices ensure high-quality data? How do you know whether your data supports the decisions you need to make? This clear and valuable resource will appeal to C-suite executives and top-line managers across industries, as well as business analysts at all career stages and data analytics students.
Presents sensor specification, theory of operation, sensor design, and application criteria Provides background plus specific information for practicing engineers who want to understand sensors Includes a complete chapter on industrial sensor communication protocols Explains temperature sensitivity, how to determine, and how to avoid Discusses how to understand and utilize sensor specifications
This book brings together the insights and practical experience of some of the most experienced Data Plane Development Kit (DPDK) technical experts, detailing the trend of DPDK, data packet processing, hardware acceleration, packet processing and virtualization, as well as the practical application of DPDK in the fields of SDN, NFV, and network storage. The book also devotes many chunks to exploring various core software algorithms, the advanced optimization methods adopted in DPDK, detailed practical experience, and the guides on how to use DPDK.
The construction enterprise is being transformed by visual modelling. Once principally used by researchers and in niche industries, tools such as 3D/4D CAD and virtual reality are now in widespread use in construction. This book is both a survey of the changes being made in practice and a detailed guide to future directions for research and development bringing together the work of leading practitioners and academics. A particular strength of the book is its many detailed case studies and examples, making it an excellent resource for practitioners, researchers, and students seeking to understand the details of how new tools and methods are applied in a business context. The 11 chapters address following topics: - Uses of 3D/4D CAD and its costs and benefits, - Applications of visual modelling at the work face, - Applications of visual modelling in the designer office, - Technical integration of visual modelling tools such as 3D/4D CAD and virtual reality.
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.
The material requires no previous exposure to an introductory computational science class (i.e. knowledge of a programming language). All mathematical knowledge needed beyond Calculus (and the more useful Calculus notation and concepts) is introduced in the text to make it self-contained. The book will discuss operation counts, emphasize the importance of computational efficiency and highlight the basic methods used to achieve it. To this end, efficiency inserts will be used throughout the text as they become relevant.
Image Acquisition and Processing With LabVIEWä combines the general theory of image acquisition and processing, the underpinnings of LabVIEW and the NI Vision toolkit, examples of their applications, and real-world case studies in a clear, systematic, and richly illustrated presentation. Designed for LabVIEW programmers, it fills a significant gap in the technical literature by providing a general training manual for those new to National Instruments (NI) Vision application development and a reference for more experienced vision programmers.
Computational hydraulics and hydrologic modeling are rapidly developing fields with a wide range of applications in areas ranging from wastewater disposal and stormwater management to civil and environmental engineering. The fields are full of promise, but while an abundance of literature now exists, it contains a plethora of new terms that are not always defined.
Flood disasters continue to occur in many countries in the world and cause tremendous casualties and property damage. To mitigate the effects of floods, a range of structural and non-structural measures have been employed including dykes, channelling, flood-proofing property, land-use regulation and flood warning schemes. Such schemes can include the use of Artificial Neural Networks (ANN) for modelling the rainfall run-off process as it is a quick and flexible approach which gives very promising results. However, the inability of ANN to extrapolate beyond the limits of the training range is a serious limitation of the method, and this book examines ways of side-stepping or solving this complex issue.
This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world. The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.
Choose the right hardware and software for your school!This unique book is the first systematic work on evaluating and assessing educational information technology. Here you?ll find specific strategies, best practices, and techniques to help you choose the educational technology that is most appropriate for your institution. Evaluation and Assessment in Educational Information Technology will show you how to measure the effects of information technology on teaching and learning, help you determine the extent of technological integration into the curriculum that is best for your school, and point you toward the most effective ways to teach students and faculty to use new technology.Evaluation and Assessment in Educational Information Technology presents: a summary of the last ten years of assessment instrument development seven well-validated instruments that gauge attitudes, beliefs, skills, competencies, and technology integration proficiencies two content analysis instruments for analyzing teacher-student interaction patterns in a distance learning setting an examination of the best uses of computerized testing--as opposed to conventional tests, as used in local settings, to meet daily instructional needs, in online delivery programs, in public domain software, and available commercial and shareware options successful pedagogical and assessment strategies for use in online settings a four-dimensional model to assess student learning in instructional technology courses three models for assessing the significance of information technology in education from a teacher's perspective an incisive look at Michigan's newly formed Consortium of Outstanding Achievement in Teaching withTechnology (COATT) ways to use electronic portfolios for teaching/learning performance assessment and much more!
The instant access that hackers have to the latest tools and techniques demands that companies become more aggressive in defending the security of their networks. Conducting a network vulnerability assessment, a self-induced hack attack, identifies the network components and faults in policies, and procedures that expose a company to the damage caused by malicious network intruders.
Justice apps - mobile and web-based programmes that can assist individuals with legal tasks - are being produced, improved, and accessed at an unprecedented rate. These technologies have the potential to reshape the justice system, improve access to justice, and demystify legal institutions. Using artificial intelligence techniques, apps can even facilitate the resolution of common legal disputes. However, these opportunities must be assessed in light of the many challenges associated with app use in the justice sector. These include the digital divide and other accessibility issues; the ethical challenges raised by the dehumanisation of legal processes; and various privacy, security, and confidentiality risks. Surveying the landscape of this emergent industry, this book explores the objectives, opportunities, and challenges presented by apps across all areas of the justice sector. Detailed consideration is also given to the use of justice apps in specific legal contexts, including the family law and criminal law sectors. The first book to engage with justice apps, this book will appeal to a wide range of legal scholars, students, practitioners, and policy-makers. |
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