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Books in Physical sciences and engineering

  • Professional Penetration Testing

    Creating and Learning in a Hacking Lab
    • 3rd Edition
    • Thomas Wilhelm
    • English
    Professional Penetration Testing: Creating and Learning in a Hacking Lab, Third Edition walks the reader through the entire process of setting up and running a pen test lab. Penetration testing—the act of testing a computer network to find security vulnerabilities before they are maliciously exploited—is a crucial component of information security in any organization. Chapters cover planning, metrics, and methodologies, the details of running a pen test, including identifying and verifying vulnerabilities, and archiving, reporting and management practices. The material presented will be useful to beginners through advanced practitioners.Here, author Thomas Wilhelm has delivered penetration testing training to countless security professionals, and now through the pages of this book, the reader can benefit from his years of experience as a professional penetration tester and educator. After reading this book, the reader will be able to create a personal penetration test lab that can deal with real-world vulnerability scenarios. "...this is a detailed and thorough examination of both the technicalities and the business of pen-testing, and an excellent starting point for anyone getting into the field." –Network Security

  • Probability for Deep Learning Quantum

    A Many-Sorted Algebra View
    • 1st Edition
    • Charles R. Giardina
    • English
    Probability for Deep Learning Quantum provides readers with the first book to address probabilistic methods in the deep learning environment and the quantum technological area simultaneously, by using a common platform: the Many-Sorted Algebra (MSA) view. While machine learning is created with a foundation of probability, probability is at the heart of quantum physics as well. It is the cornerstone in quantum applications. These applications include quantum measuring, quantum information theory, quantum communication theory, quantum sensing, quantum signal processing, quantum computing, quantum cryptography, and quantum machine learning. Although some of the probabilistic methods differ in machine learning disciplines from those in the quantum technologies, many techniques are very similar.Probability is introduced in the text rigorously, in Komogorov’s vision. It is however, slightly modified by developing the theory in a Many-Sorted Algebra setting. This algebraic construct is also used in showing the shared structures underlying much of both machine learning and quantum theory. Both deep learning and quantum technologies have several probabilistic and stochastic methods in common. These methods are described and illustrated using numerous examples within the text. Concepts in entropy are provided from a Shannon as well as a von-Neumann view. Singular value decomposition is applied in machine learning as a basic tool and presented in the Schmidt decomposition. Besides the in-common methods, Born’s rule as well as positive operator valued measures are described and illustrated, along with quasi-probabilities. Author Charles R. Giardina provides clear and concise explanations, accompanied by insightful and thought-provoking visualizations, to deepen your understanding and enable you to apply the concepts to real-world scenarios.

  • Aliphatic Alkylation

    in Petroleum Refining
    • 1st Edition
    • Weizhen Sun + 4 more
    • English
    Aliphatic Alkylation in Petroleum Refining provides a fundamental understanding on the alkylation process, from molecular-level interfacial properties to macroscopic industry plants. Since the direct distillation of oil fractions does not satisfy the whole demand for fuel feedstocks, processes such as reforming, isomerization, and alkylation are needed to fulfill the market requirements within the gasoline pool. From the processes mentioned above, this book covers one of the most important refining processes due to the high quality of the alkylate with high research octane number (RON).Although the Aliphatic alkylation with H2SO4 and HF as catalysts have been industrialized for many years, there still exists lots of problems due to the complex heterogeneous reaction, such as the thermodynamics, reaction mechanism, molecular-level interfacial properties, and so on.

  • Practical Sonochemistry

    Applications of Power Ultrasound in Chemistry and Processing
    • 3rd Edition
    • Timothy J Mason + 1 more
    • English
    Practical Sonochemistry: Applications of Power Ultrasound in Chemistry and Processing, Third Edition conveys the increasing growth in applications and equipment to power ultrasound. The book is written primarily for graduate students, postdoc researchers, and academics in applied chemistry and chemical engineering, as well as technicians and operators in relevant industry. Sonochemistry can do lots of amazing things in many different fields – but how and where do you start with applying it? This thoroughly updated edition offers a ground-up introduction to the fundamentals, applying power ultrasound to both lab and large-scale applications.The book answer questions such as:Does my laboratory have the equipment- what do I need?I have the equipment, but I have no idea how it works or how to use it- where do I start?I want to apply sonochemistry to a new reaction or processing method – what is the best approach?What types of sonochemistry equipment are available on the market and which is the best to choose?Can I scale up my reaction and if so, how do I do it, given that ultrasound is non-linear?

  • Electromagnetic Heterostructures

    Background and Calculation Methods
    • 1st Edition
    • Christian Brosseau
    • English
    Electromagnetic Properties of Heterostructures: Background and Calculation Methods covers the fundamental aspects of the electromagnetic properties of heterostructures and the theoretical knowledge of the computational techniques needed to understand dielectric phenomena in quantitative and physical terms. The book re-establishes the conceptual foundations of the physics associated with numerical simulation tools of the Laplace or the Poisson equations and shows their immediate implementation. It is relevant for all practicing engineers and materials scientists who develop composite materials that are capable of handling specified technological requirements by utilizing their electromagnetic properties.

  • Computational Intelligence for Genomics Data

    • 1st Edition
    • Babita Pandey + 4 more
    • English
    Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.

  • Computer-Aided Diagnosis (CAD) Tools and Applications for 3D Medical Imaging

    • 1st Edition
    • Volume 136
    • English
    Computer-Aided Diagnosis (CAD) Tools and Applications for 3D Medical Imaging, Volume 136 in the Advances in Computers series, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. Chapters in this updated release include Introduction to Computer-aided diagnosis (CAD) tools and applications, Enhancement of three-dimensional medical images, Machine Learning Based Techniques for Computer Aided Diagnosis, AI-based image processing techniques for the automatic segmentation of human organs, Watermarking over medical images, Compressive Sensing for 3D Medical Image Compression, and more.Additional chapters cover Image encryption of medical images, Image Registration for 3D Medical Images, Texture-based computations for processing volumetric dental image, Language Processing in the Brain :an fMRI Study, Research challenges and emerging futuristic evolution for 3D medical image processing, Software based medical image analysis, and Automated 3D Visualization and Volume Estimation of Hepatic Structures for Treatment Planning of Hepatocellular Carcinoma.

  • Artificial Intelligence for Subsurface Characterization and Monitoring

    • 1st Edition
    • Aria Abubakar
    • English
    Artificial Intelligence for Subsurface Characterization and Monitoring provides an in-depth examination of how deep learning accelerates the process of subsurface characterization and monitoring and provides an end-to-end solution. In recent years, deep learning has been introduced to the geoscience community to overcome some longstanding technical challenges. This book explores some of the most important topics in this discipline to explain the unique capability of deep learning in subsurface characterization for hydrocarbon exploration and production and for energy transition. Readers will discover deep learning methods that can improve the quality and efficiency of many of the key steps in subsurface characterization and monitoring.The text is organized into five parts. The first two parts explore deep learning for data enrichment and well log data, including information extraction from unstructured well reports as well as log data QC and processing. Next is a review of deep learning applied to seismic data and data integration, which also covers intelligent processing for clearer seismic images and rock property inversion and validation. The closing section looks at deep learning in time lapse scenarios, including sparse data reconstruction for reducing the cost of 4D seismic data, time-lapse seismic data repeatability enforcement, and direct property prediction from pre-migration seismic data.

  • Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT)

    • 1st Edition
    • Yacine Atif + 1 more
    • English
    Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT) is a reference for IT engineers and decision-makers who may engage in IoT platform pilot projects. The resources covered in this book help establish plans for sustainable operations and management and assist with the long-term procurement of relevant IoT technologies. The aim of the book is to be exhaustive and holistic by pointing out numerous issues and related solution options that guide with daily challenges when deploying and running IoT platforms.The book is divided into three parts where each part includes relevant theoretical chapters and applied case studies. Part One focuses on architectural and federation options for the design and implementation of IoT platforms that foster strategic collaboration opportunities. Part Two addresses vertical security challenges across IoT platform layers. Finally, Part Three shows how IoT is driving the digital transformation wheel through existing and forthcoming case studies.

  • Ideal and Real Atmospheric Boundary Layers

    • 1st Edition
    • Mathias W. Rotach + 1 more
    • English
    Ideal and Real Atmospheric Boundary Layers is based on the notion that classical books of Boundary Layer Meteorology largely focus on ideal surface conditions, while the actual real circumstances often address situations that are more complex, like over heterogeneous land and in urban and mountain areas.Ideal and Real Atmospheric Boundary Layers starts by covering the basic physical principles used in atmospheric boundary layer meteorology, including atmospheric turbulence, observing and modeling atmospheric boundary layers, and neutral, convective, and stable boundary layers over different types of land surfaces. The second part of the book describes the applications and extension of these principles for real-world circumstances. The book will be of interest to researchers and students in atmospheric science, climate science, and meteorology.

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