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Introduction to Queueing Systems with Telecommunication Applications
The book is the extended and revised version of the 1st edition and is composed of two main parts: mathematical background and queueing systems with applications. The mathematical background is a self-containing introduction to the stochastic processes of the later studied queueing systems. It starts with a quick introduction to probability theory and stochastic processes and continues with chapters on Markov chains and regenerative processes. More recent advances of queueing systems are based on phase type distributions, Markov arrival processes and quasy birth death processes, which are introduced in the last chapter of the first part.The second part is devoted to queueing models and their applications. After the introduction of the basic Markovian (from M/M/1 to M/M/1//N) and non-Markovian (M/G/1, G/M/1) queueing systems, a chapter presents the analysis of queues with phase type distributions, Markov arrival processes (from PH/M/1 to MAP/PH/1/K). The next chapter presents the classical queueing network results and the rest of this part is devoted to the application examples. There are queueing models for bandwidth charing with different traffic classes, slotted multiplexers, media access protocols like Aloha and IEEE 802.11b, priority systems and retrial systems.An appendix supplements the technical content with Laplace and z transformation rules, Bessel functions and a list of notations. The book contains examples and exercises throughout and could be used for graduate students in engineering, mathematics and sciences.Reviews of first edition:"The organization of the book is such that queueing models are viewed as special cases of more general stochastic processes, such as birth-death or semi-Markov processes. … this book is a valuable addition to the queuing literature and provides instructors with a viable alternative for a textbook to be used in a one- or two-semester course on queueing models, at the upper undergraduate or beginning graduate levels."Charles Knessl, SIAM Review, Vol. 56 (1), March, 2014
R 2,198.00
Building Serverless Applications on Knative
Explore the theory and practice of designing and writing serverless applications using examples from the Knative project. With this practical guide, mid-level to senior application developers and team managers will learn when and why to target serverless platforms when developing microservices or applications. Along the way, you'll also discover warning signs that suggest why serverless might cause you more trouble than joy.Drawing on author Evan Anderson's 15 years of experience developing and maintaining applications in the cloud—and more than six years of experience with serverless platforms at scale—this book acts as your guide into the high-velocity world of serverless application development. You'll come to appreciate why Knative is the most widely adopted open source serverless platform available.With this book, you will:Learn what serverless is, how it works, and why teams are adopting itUnderstand the benefits of Knative for cloud native development teamsLearn how to build a serverless application on KnativeExplore the challenges serverless introduces for debugging and the tools that can help improve itLearn why event-driven architecture and serverless compute are complementary but distinctUnderstand when a serverless approach might not be the right system design
R 1,638.00
Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases.
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Solving Identity Management in Modern Applications
Know how to design and use identity management to protect your application and the data it manages.At a time when security breaches result in increasingly onerous penalties, it is paramount that application developers and owners understand identity management and the value it provides when building applications. This book takes you from account provisioning to authentication to authorization, and covers troubleshooting and common problems to avoid. The authors include predictions about why this will be even more important in the future. Application best practices with coding samples are provided.Solving Identity and Access Management in Modern Applications gives you what you need to design identity and access management for your applications and to describe it to stakeholders with confidence. You will be able to explain account creation, session and access management, account termination, and more.This expanded edition has been revised to provide an overview of the new version of OAuth (2.1)―the primary changes in this version, including features that were removed from 2.1 that were in 2.0 and why they were removed. The discussion of the book's accompanying sample application has been revised to cover in more depth the approach for developing the application (also revised). A new section has been added on the OAuth 2.0 Device Authorization Grant (RFC 8628) specification, which is useful for devices with limited UI capability. Minor additions include the topics of identity proofing, the need to capture and organize consent information, the impact of tracking prevention technology on certain identity protocols, and the availability of additional options for authorization requests such as OAuth 2.0 Rich Authorization Requests and JWT-Secured Authorization Requests (RFC 9101).What You’ll Learn• Understand key identity management concepts• Incorporate essential design principles• Design authentication and access control for a modern application• Know the identity management frameworks and protocols used today (OIDC/OAuth 2.0/2.1, SAML 2.0)• Review historical failures and know how to avoid themWho This Book Is ForDevelopers, enterprise or application architects, business application or product owners, and anyone involved in an application's identity management solution
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Optimization, Learning Algorithms and Applications
This book constitutes selected and revised papers presented at the First International Conference on Optimization, Learning Algorithms and Applications, OL2A 2021, held in Bragança, Portugal, in July 2021. Due to the COVID-19 pandemic the conference was held online. The 39 full papers and 13 short papers were thoroughly reviewed and selected from 134 submissions. They are organized in the topical sections on optimization theory; robotics; measurements with the internet of things; optimization in control systems design; deep learning; data visualization and virtual reality; health informatics; data analysis; trends in engineering education.
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Handbook of Machine Learning Applications for Genomics
Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine. More importantly, it gives a comparative analysis and validates the outcomes of machine learning methods on genomic data to the functional laboratory tests or by formal clinical assessment. The topics of this book will cater interest to academicians, practitioners working in the field of functional genomics, and machine learning. Also, this book shall guide comprehensively the graduate, postgraduates, and Ph.D. scholars working in these fields.
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Linear Algebra with Applications
Offering the most geometric presentation available, Linear Algebra with Applications, Fifth Edition emphasizes linear transformations as a unifying theme. This elegant textbook combines a user-friendly presentation with straightforward, lucid language to clarify and organize the techniques and applications of linear algebra. Exercises and examples make up the heart of the text, with abstract exposition kept to a minimum. Exercise sets are broad and varied and reflect the author's creativity and passion for this course. This revision reflects careful review and appropriate edits throughout, while preserving the order of topics of the previous edition.
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Introduction to Delay Differential Equations with Applications to the Life Sciences
This book is intended to be an introduction to Delay Differential Equations for upper level undergraduates or beginning graduate mathematics students who have a reasonable background in ordinary differential equations and who would like to get to the applications quickly.The author has used preliminary notes in teaching such a course at Arizona State University over the past two years.This book focuses on the key tools necessary to understand the applications literature involving delay equations and to construct and analyze mathematical models involving delay differential equations. The book begins with a survey of mathematical models involving delay equations.
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Approaches and Applications of Deep Learning in Virtual Medical Care
The recent advancements in the machine learning paradigm have various applications, however, it has shown significant results in the field of medical data analysis. The results are highly accurate and are comparable to human experts. The various research has proved the high accuracy of deep learning algorithms and has become a standard choice for analysing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Researchers in industry, hospitals, and academia have published hundreds of scientific contributions in this area during a pandemic.This book is an ideal and relevant source of content for data science and healthcare professionals who want to delve into complex deep learning algorithms, calibrate models, and improve the predictions of the trained model on medical imaging.Primary audiences for this book are professionals and researchers in the fields of data science, machine learning, deep learning, and AI. Also academicians, healthcare professionals, or anyone who may have a keen interest in how the machine and deep learning algorithms are helping in the identification of solutions to medical sensor/image data analysis, event detection, segmentation, and abnormality detection, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and medical image registration. The variety of readers in the fields of government, consulting, healthcare professionals, as well as the readers from all the social strata, can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies, and applications of deep Learning algorithms for medical care.
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Software Engineering Research, Management and Applications 2010
th The purpose of the 8 Conference on Software Engineering Research, Mana- ment and Applications (SERA 2010) held on May 24 - 26, 2010 in Montreal, Canada was to bring together researchers and scientists, businessmen and ent- preneurs, teachers and students to discuss the numerous fields of computer s- ence, and to share ideas and information in a meaningful way. Our conference officers selected the best 16 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In Chapter 1, Emil Vassev and Serguei Mokhov discuss their work in creating a Distributed Modular Audio Recognition Framework capable of self-healing using the Autonomic System Specification Language. In Chapter 2, Yuhong Yan et al. present a new model of the Web Service Com- sition Problem and propose a reparative method based on planning graphs. In Chapter 3, Chandan Sarkar et al. explore options for conducting remote usab- ity tests using their newly-developed Total Cost of Administration (TCA) tool to collect and analyze test results.In Chapter 4, Idir Ait-Sadoune and Yamine Ait-Ameur focus on the formal - scription, modeling, and validation of web services compositions and suggest a refinement based method that encodes the Business Process Execution Language (BPEL) model's decompositions.
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Art of Distributed Applications
Powerful networked workstations are adding a new dimension to the world of computing. Programmers are challenged to write applications that exploit the speed and parallelism of such distributed systems, programs that take advantage of the networking and communication features of high-speed workstations. John Corbin, a senior engineer in Sun's networking group, bases his approach on RPC (Remote Procedure Call), a technique for programming communication processes in UNIX environments. A professional reference book as well as a textbook on RPC programming techniques, The Art of Distributed Applications: Programming Techniques for Remote Procedure Call, is for the working programmer who needs to explore the possibilities of designing distributed networked applications under UNIX. The book can also be recommended as a supplemental text in a distributed systems course, providing the basis for lab assignments.
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Geometric Algebra Applications Vol. II
This book presents a unified mathematical treatment of diverse problems in thegeneral domain of robotics and associated fields using Clifford or geometric alge-bra. By addressing a wide spectrum of problems in a common language, it offersboth fresh insights and new solutions that are useful to scientists and engineersworking in areas related with robotics. It introduces non-specialists to Clifford and geometric algebra, and provides ex-amples to help readers learn how to compute using geometric entities and geomet-ric formulations. It also includes an in-depth study of applications of Lie grouptheory, Lie algebra, spinors and versors and the algebra of incidence using theuniversal geometric algebra generated by reciprocal null cones.Featuring a detailed study of kinematics, differential kinematics and dynamicsusing geometric algebra, the book also develops Euler Lagrange and Hamiltoni-ans equations for dynamics using conformal geometric algebra, and the recursiveNewton-Euler using screw theory in the motor algebra framework. Further, itcomprehensively explores robot modeling and nonlinear controllers, and discussesseveral applications in computer vision, graphics, neurocomputing, quantum com-puting, robotics and control engineering using the geometric algebra framework.The book also includes over 200 exercises and tips for the development of futurecomputer software packages for extensive calculations in geometric algebra, and aentire section focusing on how to write the subroutines in C++, Matlab and Mapleto carry out efficient geometric computations in the geometric algebra framework.Lastly, it shows how program code can be optimized for real-time computations.An essential resource for applied physicists, computer scientists, AI researchers,roboticists and mechanical and electrical engineers, the book clarifies and demon-strates the importance of geometric computing for building autonomous systemsto advance cognitive systems research.
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Building Android Apps with HTML, CSS and JavaScript, 2e
If you know HTML, CSS, and JavaScript, you already have the tools you need to develop Android applications. This hands-on book shows you how to use these open source web standards - instead of Java - to design and build apps that can be adapted for any Android device. You'll learn how to create an Android-friendly web app on the platform of your choice, and then convert it to a native Android app with Adobe's free PhoneGap framework. Discover why device-agnostic mobile apps are the wave of the future, and start building apps that offer greater flexibility and a broader reach. * Learn the basics for making a web page look great on the Android web browser * Convert a website into a web application, complete with progress indicators and more * Add animation with JavaScript to make your web app look and feel like a native Android app * Take advantage of client-side data storage with apps that run even when the Android device is offline * Use PhoneGap to hook into advanced Android features - including the accelerometer, geolocation, and alerts * Test and debug your app on the Web under load with real users, and then submit the finished product to the Android Market
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Applications of Evolutionary Computation
Thetwo volumes LNCS 9597 and 9598 constitute the refereed conference proceedingsof the 19th European Conference on the Applications of Evolutionary Computation,EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-locatedwith the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.The 57 revised full papers presented together with17 poster papers were carefully reviewed and selected from 115 submissions.EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (naturalcomputing methods in business analytics and finance), EvoBIO (evolutionarycomputation, machine learning and data mining in computational biology), EvoCOMNET(nature-inspired techniques for telecommunication networks and other paralleland distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems),EvoENERGY (evolutionary computation in energy applications), EvoGAMES(bio-inspired algorithms in games), EvoIASP (evolutionary computation in imageanalysis, signal processing, and pattern recognition), EvoINDUSTRY(nature-inspired techniques in industrial settings), EvoNUM (bio-inspiredalgorithms for continuous parameter optimization), EvoPAR (parallelimplementation of evolutionary algorithms), EvoRISK (computational intelligencefor risk management, security and defence applications), EvoROBOT (evolutionaryrobotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamicenvironments).
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Linear Programming and Its Applications
Linear Programming and Its Applications is intended for a first course in linear programming, preferably in the sophomore or junior year of the typical undergraduate curriculum. The emphasis throughout the book is on linear programming skills via the algorithmic solution of small-scale problems, both in the general sense and in the specific applications where these problems naturally occur. The book arose from lecture notes prepared during the years 1985-1987 while I was a graduate assistant in the Department of Mathematics at The Pennsylvania State University. I used a preliminary draft in a Methods of Management Science class in the spring semester of 1988 at Lock Haven University. Having been extensively tried and tested in the classroom at various stages of its development, the book reflects many modifications either suggested directly by students or deemed appropriate from responses by students in the classroom setting. My primary aim in writing the book was to address common errors and difficulties as clearly and effectively as I could.
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Real-life Applications with Membrane Computing
This book thoroughly investigates the underlying theoretical basis of membrane computing models, and reveals their latest applications. In addition, to date there have been no illustrative case studies or complex real-life applications that capitalize on the full potential of the sophisticated membrane systems computational apparatus; gaps that this book remedies. By studying various complex applications – including engineering optimization, power systems fault diagnosis, mobile robot controller design, and complex biological systems involving data modeling and process interactions – the book also extends the capabilities of membrane systems models with features such as formal verification techniques, evolutionary approaches, and fuzzy reasoning methods. As such, the book offers a comprehensive and up-to-date guide for all researchers, PhDs and undergraduate students in the fields of computer science, engineering and the bio-sciences who are interested in the applications of natural computing models.
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Engineering Applications
ENGINEERING APPLICATIONS A comprehensive text on the fundamental principles of mechanical engineering Engineering Applications presents the fundamental principles and applications of the statics and mechanics of materials in complex mechanical systems design. Using MATLAB to help solve problems with numerical and analytical calculations, authors and noted experts on the topic Mihai Dupac and Dan B. Marghitu offer an understanding of the static behaviour of engineering structures and components while considering the mechanics of materials knowledge as the most important part of their design. The authors explore the concepts, derivations, and interpretations of general principles and discuss the creation of mathematical models and the formulation of mathematical equations. This practical text also highlights the solutions of problems solved analytically and numerically using MATLAB. The figures generated with MATLAB reinforce visual learning for students and professionals as they study the programs. This important text:Shows how mechanical principles are applied to engineering designCovers basic material with both mathematical and physical insightProvides an understanding of classical mechanical principlesOffers problem solutions using MATLABReinforces learning using visual and computational techniquesWritten for students and professional mechanical engineers, Engineering Applications helpshone reasoning skills in order to interpret data and generate mathematical equations, offering different methods of solving them for evaluating and designing engineering systems.
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Finite Element Method and Applications in Engineering Using ANSYS®
This textbook offers theoretical and practical knowledge of the finite element method. The book equips readers with the skills required to analyze engineering problems using ANSYS®, a commercially available FEA program. Revised and updated, this new edition presents the most current ANSYS® commands and ANSYS® screen shots, as well as modeling steps for each example problem. This self-contained, introductory text minimizes the need for additional reference material by covering both the fundamental topics in finite element methods and advanced topics concerning modeling and analysis. It focuses on the use of ANSYS® through both the Graphics User Interface (GUI) and the ANSYS® Parametric Design Language (APDL). Extensive examples from a range of engineering disciplines are presented in a straightforward, step-by-step fashion. Key topics include: • An introduction to FEM • Fundamentals and analysis capabilities of ANSYS® • Fundamentals of discretization and approximation functions • Modeling techniques and mesh generation in ANSYS®• Weighted residuals and minimum potential energy • Development of macro files • Linear structural analysis • Heat transfer and moisture diffusion • Nonlinear structural problems • Advanced subjects such as submodeling, substructuring, interaction with external files, and modification of ANSYS®-GUI Electronic supplementary material for using ANSYS® can be found at http://link.springer.com/book/10.1007/978-1-4899-7550-8. This convenient online feature, which includes color figures, screen shots and input files for sample problems, allows for regeneration on the reader’s own computer. Students, researchers, and practitioners alike will find this an essential guide to predicting and simulating the physical behavior of complex engineering systems."
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Advanced Data Mining and Applications
This book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022.*The 26 full papers presented together with 35 short papers were carefully reviewed and selected from 116 submissions. The papers were organized in topical sections in Part II named: Pattern mining; Graph mining; Text mining; Multimedia and time series data mining; and Classification, clustering and recommendation. * The conference was originally planned for December 2021, but was postponed to 2022.
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Random Processes with Applications to Circuits and Communications
This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today’s circuits students’ needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed. Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems;Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering;Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter;Develops and reinforces student’s modeling skills, with inclusion of modeling problems in every chapter;Solutions for instructors included.
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Prealgebra: Lessons (with Medical Applications)
Prealgebra is a complete, ready-to-use package of lessons, examples, problem sets, homework, and tests needed for a full term course in prealgebra. Prealgebra 2nd Edition: Lessons (with Medical Applications), along with Prealgebra 2nd Edition: Practice Problem Worksheets (with Medical Applications) and Prealgebra 2nd Edition: Chapter Summaries & Practice Answers (with Medical Applications), provide professors with course material that:Is well-suited for online and hybrid courses, computer-assisted courses and math labs, self-paced courses, and traditional classrooms at both two-year and four-year colleges.Is ready for immediate use and can be tailored to help meet their course goals and students' needs.Integrates their course syllabus with the lessons, assessments, tests, and communication and grading tools.Helps lead to outstanding student retention rates and learning outcomes.
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Machine Learning Applications in Subsurface Energy Resource Management
The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance) Offers a variety of perspectives from authors representing operating companies, universities, and research organizations Provides an array of case studies illustrating the latest applications of several ML techniques Includes a literature review and future outlook for each application domainThis book is targeted at practicing petroleum engineers or geoscientists interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal.
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Mathematics For Biosciences: From Theory To Worked Examples And Applications
Mathematics for Biosciences is an ideal resource for those students needing a complete course of Mathematics, from basic algebra to advanced calculus and their applications. More than just a compendium of the necessary mathematical tools, the material is developed beyond the level needed just to 'get by'. It utilises a tried-and-tested pedagogical philosophy that has been carefully developed over 25 years of 'on the job' experience in successfully teaching mathematics to nearly 3,000 undergraduate students reading Molecular and Cellular Biochemistry at the University of Oxford (UK).This textbook is aimed at first-year undergraduates studying different Bioscience disciplines, including Biochemistry, Biology, Natural Sciences, Chemistry, Medicine, and Biomedical Sciences, and helps bridge the gap between those students who are equipped with mathematical training, and those without. It is also suitable for postgraduate and postdoctoral researchers in the Biosciences who want to refresh their Mathematics background, and university class tutors who need a resource and problems to give students on particular topics.
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Belief Functions: Theory and Applications
This book constitutes the refereed proceedings of the 9th International Conference on Belief Functions, BELIEF 2026, held in Nanjing, China, during October 19–21, 2026. The 39 full papers included in this book were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Information Fusion; Deep Learning; Classification; Lifetime Prediction; Clustering; Large Language Models; Theory; and Decision Analysis and Hypothesis Testing.
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Building Secure Automotive IoT Applications
Enhance your automotive IoT design and development knowledge by learning vehicle architectures, cybersecurity best practices, cloud applications, and software development processesKey FeaturesExplore modern vehicle architectures designed to support automotive IoT use casesDiscover cybersecurity practices and processes to develop secure automotive IoT applicationsGain insights into how cloud technologies and services power automotive IoT applicationsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSoftware-defined vehicles, equipped with extensive computing power and connectivity, are unlocking new possibilities in automotive Internet of Things (IoT) applications, creating a critical need for skilled software engineers to lead innovation in the automotive sector. This book equips you to thrive in this industry by learning automotive IoT software development.The book starts by examining the current trends in automotive technology, highlighting IoT applications and key vehicle architectures, including the AUTOSAR platform. It delves into both classic and service-oriented vehicle diagnostics before covering robust security practices for automotive IoT development. You’ll learn how to adhere to industry standards such as ISO/SAE 21434, ASPICE for cybersecurity, and DevSecOps principles, with practical guidance on establishing a secure software development platform. Advancing to the system design of an automotive IoT application, you’ll be guided through the development of a remote vehicle diagnostics application and progress through chapters step by step, addressing the critical aspects of deploying and maintaining IoT applications in production environments.By the end of the book, you’ll be ready to integrate all the concepts you’ve learned to form a comprehensive framework of processes and best practices for embedded automotive development.What you will learnExplore the current automotive landscape and IoT tech trendsExamine automotive IoT use cases such as phone-as-a-key, predictive maintenance, and V2XGrasp standard frameworks such as classic and adaptive AUTOSARGet to grips with vehicle diagnostic protocols such as UDS, DoIP, and SOVDEstablish a secure development process and mitigate software supply chain risks with CIAD, RASIC, and SBOMLeverage ASPICE and functional safety processes for industry standards complianceUnderstand how to design, develop, and deploy an automotive IoT applicationWho this book is forThis book is for embedded developers and software engineers working in the automotive industry looking to learn IoT development, as well as IoT developers who want to learn automotive development. A fundamental grasp of software development will assist with understanding the concepts covered in the book.
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R 683.00
Student Solutions Manual for Linear Algebra with Applications
This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
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Differential Equations and Their Applications
Used in undergraduate classrooms across the USA, this is a clearly written, rigorous introduction to differential equations and their applications. Fully understandable to students who have had one year of calculus, this book distinguishes itself from other differential equations texts through its engaging application of the subject matter to interesting scenarios. This fourth edition incorporates earlier introductory material on bifurcation theory and adds a new chapter on Sturm-Liouville boundary value problems. Computer programs in C, Pascal, and Fortran are presented throughout the text to show readers how to apply differential equations towards quantitative problems.
R 1,874.10
Advanced Engineering Analysis: The Calculus Of Variations And Functional Analysis With Applications In Mechanics
Advanced Engineering Analysis is a textbook on modern engineering analysis, covering the calculus of variations, functional analysis, and control theory, as well as applications of these disciplines to mechanics. The book offers a brief and concise, yet complete explanation of essential theory and applications. It contains exercises with hints and solutions, ideal for self-study.
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Proceedings of the 22nd Engineering Applications of Neural Networks Conference
This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.
R 10,048.77
Architecture of Open Source Applications
Architects look at thousands of buildings during their training, and study critiques of those buildings written by masters. In contrast, most software developers only ever get to know a handful of large programs well - usually programs they wrote themselves - and never study the great programs of history. As a result, they repeat one another's mistakes rather than building on one another's successes. This book's goal is to change that. In it, the authors of twenty-five open source applications explain how their software is structured, and why. What are each program's major components? How do they interact? And what did their builders learn during their development? In answering these questions, the contributors to this book provide unique insights into how they think.
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Numerical Analysis and Its Applications
This book constitutes the refereed proceedings of the First International Workshop on Numerical Analysis and Its Applications, WNAA'96, held in Rousse, Bulgaria, in June 1996.The 57 revised full papers presented were carefully selected and reviewed for inclusion in the volume; also included are 14 invited presentations. All in all, the book offers a wealth of new results and methods of numerical analysis applicable in computational science, particularly in computational physics and chemistry. The volume reflects that the cooperation of computer scientists, mathematicians and scientists provides new numerical tools for computational scientists and, at the same time, stimulates numerical analysis.
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Primer on Fluid Mechanics with Applications
This textbook is a pedagogic introduction to a number of phenomena employing fluid mechanics. Beginning with basic concepts and conservation laws for neutral and charged fluids, the authors apply and develop them to understand aerodynamics, locomotion of micro-organisms, waves in air and water, shock waves, hydrodynamic and hydromagnetic instabilities, stars and black holes, blood flow in humans, and superfluids. The approach is to consider various striking topics on fluid mechanics, without losing necessary mathematical rigor. The book balances the qualitative explanations with formal treatment, in a compact manner. A special focus is given to the important and difficult subject of turbulence and the book ends with a discussion on turbulence in quantum fluids. The textbook is dotted by a number of illustrative examples, mostly from real life, and exercises.The textbook is designed for a one semester course and addresses students at undergraduate and graduate level in physics or engineering, who want to research in the fields as diverse as aeronautics, meteorology, cosmology, biomechanics, and mathematical physics. It is requested knowledge of an undergraduate level course on mathematical methods to better understand the topics presented here.
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Numerical Methods with Chemical Engineering Applications
Designed primarily for undergraduates, but also graduates and practitioners, this textbook integrates numerical methods and programming with applications from chemical engineering. Combining mathematical rigor with an informal writing style, it thoroughly introduces the theory underlying numerical methods, its translation into MATLAB programs, and its use for solving realistic problems. Specific topics covered include accuracy, convergence and numerical stability, as well as stiffness and ill-conditioning. MATLAB codes are developed from scratch, and their implementation is explained in detail, all while assuming limited programming knowledge. All scripts employed are downloadable, and built-in MATLAB functions are discussed and contextualised. Numerous examples and homework problems - from simple questions to extended case studies - accompany the text, allowing students to develop a deep appreciation for the range of real chemical engineering problems that can be solved using numerical methods. This is the ideal resource for a single-semester course on numerical methods, as well as other chemical engineering courses taught over multiple semesters.
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Frameworks, Methodologies, and Tools for Developing Rich Internet Applications
Technological advances in the field of IT lead to the creation of new programs intended to merge the advantages of desktop-based programs with the advantages of Web-based programs in order to increase user accessibility and provide effective computer performance.Frameworks, Methodologies, and Tools for Developing Rich Internet Applications presents current research and analysis on the use of JavaScript and software development to establish new programs intended for the Web. With an in-depth look at computer and Web programming, this publication emphasizes the benefits and dynamic qualities of these emerging technologies. This book is an essential reference source for academicians, researchers, students, practitioners, and professionals interested in understanding and applying the advances in the combined fields of Web engineering and desktop programming in order to increase computer users’ visual experience and interactivity.
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Symmetries and Applications of Differential Equations
This book is about Lie group analysis of differential equations for physical and engineering problems. The topics include:-- Approximate symmetry in nonlinear physical problems-- Complex methods for Lie symmetry analysis-- Lie group classification, Symmetry analysis, and conservation laws -- Conservative difference schemes-- Hamiltonian structure and conservation laws of three-dimensional linear elasticity-- Involutive systems of partial differential equations This collection of works is written in memory of Professor Nail H. Ibragimov (1939–2018). It could be used as a reference book in differential equations in mathematics, mechanical, and electrical engineering.
R 4,211.60
3d Printing And Additive Manufacturing: Principles And Applications (With Companion Media Pack) - Fourth Edition Of Rapid Prototyping
3D Printing and Additive Manufacturing (AM) has revolutionised how prototypes are made and small batch manufacturing carried out. With additive manufacturing, the strategies used to produce a part change a number of important considerations and limitations previously faced by tool designers and engineers.This textbook is the fourth edition of Rapid Prototyping: Principles and Applications. It covers the key AM processes, the available models and specifications, and their principles, materials, advantages and disadvantages. Examples of application areas in design, planning, manufacturing, biomedical engineering, entertainment, weaponry, art and architecture are also given. The book includes several related problems for the reader to test his or her understanding of the topics. This edition comes with a companion media pack that presents animated illustrations of the working principles of today's key AM processes.
R 4,197.97
Energy Flow Theory of Nonlinear Dynamical Systems with Applications
This monograph develops a generalised energy flow theory to investigate non-linear dynamical systems governed by ordinary differential equations in phase space and often met in various science and engineering fields. Important nonlinear phenomena such as, stabilities, periodical orbits, bifurcations and chaos are tack-led and the corresponding energy flow behaviors are revealed using the proposed energy flow approach. As examples, the common interested nonlinear dynamical systems, such as, Duffing’s oscillator, Van der Pol’s equation, Lorenz attractor, Rössler one and SD oscillator, etc, are discussed. This monograph lights a new energy flow research direction for nonlinear dynamics. A generalised Matlab code with User Manuel is provided for readers to conduct the energy flow analysis of their nonlinear dynamical systems. Throughout the monograph the author continuously returns to some examples in each chapter to illustrate the applications of the discussed theory and approaches. The book can be used as an undergraduate or graduate textbook or a comprehensive source for scientists, researchers and engineers, providing the statement of the art on energy flow or power flow theory and methods.
R 4,275.15
Multiagent Systems and Applications
Since its conception almost 30 years ago, the BDI (Belief Desire Intention) model of agency has become established, along with Soar, as the approach of choice for practitioners in the development of knowledge intensive agent applications. However, in developing BDI agent applications for over 15 years, the authors of this book have observed a disconnect between what the BDI model provides and what is actually required of an agent model in order to build practical systems. The GORITE BDI framework was developed to address this gap and this book is written for students, researchers and practitioners who wish to gain a practical understanding of how GORITE is used to develop BDI agent applications. In this regard, a feature of the book is the use of complete, annotated examples. As GORITE is a Java framework, a familiarity with Java (or a similar language) is assumed, but no prior knowledge of the BDI model is required.
R 3,020.27
Probability Models And Applications (Revised Second Edition)
Written by renowned experts in the field, this reissue of a textbook has as its unifying theme the role that probability models have had, and continue to have, in scientific and practical applications. It includes many examples, with actual data, of real-world use of probability models, while expositing the mathematical theory of probability at an introductory calculus-based level. Detailed descriptions of the properties and applications of probability models that have successfully modeled real phenomena are given, as well as an explanation of methods for testing goodness of fit of these models. Readers will receive a firm foundation in techniques for deriving distributions of various summaries of data that will prepare them for subsequent studies of statistics, as well as a solid grounding in concepts such as that of conditional probability that will prepare them for more advanced courses in stochastic processes.
R 6,135.93
R 1,468.00
Managing Oracle Fusion Applications
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Master Oracle Fusion ApplicationsAdminister a fully integrated application management framework across your enterprise using the detailed information contained in this Oracle Press guide. Managing Oracle Fusion Applications first explains key principles and then logically groups utilities into practical, ready-to-use toolboxes. Learn how to build lifecycle models, deliver dynamic business intelligence, optimize performance, mitigate risk, and integrate the latest Web 2.0 and social networking features. Compliance, security, and testing techniques are also covered in this comprehensive resource.Understand the components and architecture of Oracle Fusion ApplicationsPlan, develop, and implement an effective application management planResolve reliability issues with Oracle Enterprise ManagerConfigure and deploy applications from the Oracle WebLogic Server Administration ConsoleAdjust run-time parameters using Java Management Extensions and MBeansGenerate and distribute reports using Oracle Business Intelligence 11gEstablish solid user authentication, access control, and data protection policiesWork with Oracle Fusion Governance, Risk, and Compliance Intelligence
R 1,986.87
Computational Science and Its Applications – ICCSA 2020
The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event.Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies.The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields.
R 4,358.17
R 916.00
Applications of Machine Learning and Deep Learning on Biological Data
The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and efficacy of programming such algorithms.Applications of Machine Learning and Deep Learning on Biological Data is an examination of applying ML and DL to such areas as proteomics, genomics, microarrays, text mining, and systems biology. The key objective is to cover ML applications to biological science problems, focusing on problems related to bioinformatics. The book looks at cutting-edge research topics and methodologies in ML applied to the rapidly advancing discipline of bioinformatics. ML and DL applied to biological and neuroimaging data can open new frontiers for biomedical engineering, such as refining the understanding of complex diseases, including cancer and neurodegenerative and psychiatric disorders. Advances in this field could eventually lead to the development of precision medicine and automated diagnostic tools capable of tailoring medical treatments to individual lifestyles, variability, and the environment.Highlights include:Artificial Intelligence in treating and diagnosing schizophreniaAn analysis of ML’s and DL’s financial effect on healthcareAn XGBoost-based classification method for breast cancer classificationUsing ML to predict squamous diseasesML and DL applications in genomics and proteomicsApplying ML and DL to biological data
R 2,707.40
