Applied and Computational Mathematics for Digital Environments
The present reprint contains the 11 papers that were accepted and published in the Special Issue "Applied and Computational Mathematics for Digital Environments" of the MDPI Mathematics journal. The topics of interest include, among others, scientific research, applied tasks, and problems in the following areas: The construction of mathematical and information models of intelligent computer systems for monitoring and controlling the parameters of digital environments;The development of intelligent optimization algorithms that search for optimal parameter values of mathematical and information models in digital environments;Software and mathematical technologies in the implementation of intelligent monitoring and computer control of the parameters of digital environments;The development and application of mathematical and information models, machine learning methods, and artificial intelligence for the analysis and processing of big data in digital environments.I hope that this reprint will be useful to those who are interested in the real-world applications of applied and computational mathematics for digital environments in terms of solving actual, practical problems in all spheres of human life and activity.
An Interoperability Framework for E-Government Heterogeneous Information Systems
Master's Thesis from the year 2018 in the subject Computer Science - Commercial Information Technology, grade: 80.00, Masinde Muliro University of Science and Technology, language: English, abstract: The main objective of the study was to develop an interoperability framework that defines and guides the establishment of interoperable e-government information systems within different levels of government. Information Communication and Technology (ICT) utilization has become a backbone of e-government implementation. Six components of information system (hardware, software, people, data, process and network) are combined to deliver information from government to their citizen as part of public services. However, there is an interoperability challenge on e-government implementation related to information system. These systems due to different vendors and their use of different storage types, data formats, languages and middleware platform have become diverse, hence the challenge of interoperability due to heterogeneity of e-government information systems. The study adopted a mixed methods approach where both quantitative and qualitative data was used. The instruments used for data collection included content analysis, interviews and questionnaires. The study used simple random sampling to distribute the questionnaires and purposive sampling technique for the interview schedules. Quantitative data was analyzed using descriptively statistics including mean, mode and standard deviation. Qualitative data was analyzed using thematic analysis. Pearson's correlation was used to find out the relationship between two variables while controlling the effects of one or more additional variables. ANOVA was used to determine whether the model was important in predicting the interoperability of e-government heterogeneous information systems in Kenya. Expert opinion survey was used to validate the proposed interoperability framework.
A Comprehensive Approach on Sentiment Analysis & Prediction
Document in the subject Computer Sciences - Artificial Intelligence, language: English, abstract: In today scenario there is abrupt usage of microblogging sites such as Twitter for sharing of feelings and emotions towards any current hot topic, any product, services, or any event. Such opinionated data needs to be leveraged effectively to get valuable insight from that data. This research work focused on designing a comprehensive feature-based Twitter Sentiment Analysis (TSA) framework using the supervised machine learning approach with integrated sophisticated negation handling approach and knowledge-based Tweet Normalization System (TNS). We generated three real-time twitter datasets using search operators such as #Demonetization, #Lockdown, and #9pm9minutes and also used one publically available benchmark dataset SemEval-2013 to assess the viability of our comprehensive feature-based twitter sentiment analysis system on tweets. We leveraged varieties of features such as lexicon-based features, pos-based, morphological, ngrams, negation, and cluster-based features to ascertain which classifier works well with which feature group. We employed three state-of-the-art classifiers including Support Vector Machine (SVM), Decision Tree Classifier (DTC), and Naive Bayesian (NB) for our twitter sentiment analysis framework. We observed SVM to be the best performing classifier across all the twitter datasets except #9pm9minutes (DTC turned out to be the best for this dataset). Moreover, our SVM model trained on the SemEval-2013 training dataset outperformed the winning team NRC Canada of SemEval- 2013 task 2 in terms of macro-averaged F1 score, averaged on positive and negative classes only. Though state-of-the-art twitter sentiment analysis systems reported significant performance, it is still challenging to deal with some critical aspects such as negation and tweet normalization.
Information Hiding and Machine Learning
Document from the year 2023 in the subject Computer Sciences - Artificial Intelligence, Amity University (Amity School of Engineering and Technology), course: Information Security, Machine Learning, language: English, abstract: Information security is a challenging issue with the high growth rate of the internet. Cryptography, Steganography, and Digital watermarking techniques are widely used for information security for different purposes. In this book, we discuss various methods of hiding information using machine learning techniques. Chapter one is the foundation of the research conducted during the period and dis-cussed in this book. It also overview the problem statement, methodology, objectives, achievements and motivation of the proposed study. It also provides an overview of the organization of this book. In chapter two, the main focus is to review the existing digital image watermarking techniques based on artificial neural network, support vector regression, support vector machines, genetic algorithm and combination of these machine learning algorithms called hybrid techniques based image watermarking. The reviews of these watermarking schemes give the effective solution for copyright protection applications. It is observed that machine learning algorithms are used to reduce the trade-off between robustness and imperceptibility in spatial as well as transform domain. In addition to robustness and imperceptibility, some of the researchers have focused on security of the watermark and how much information is stored in multimedia contents.
Organizational Cyber Security
The rapidly advancing digitalization trend, along with e-government, industry 4.0, and society 5.0, has increased both the benefits and risks in the cyber field. Cybersecurity is crucial for protecting various entities and requires a customized, up-to-date approach for each professional group. Key concepts in cybersecurity include networking, security engineering, and governance. Building a solid cybersecurity culture involves administrative support, clear rules and procedures, training, testing, and communication. The book is divided into four chapters, focusing on the protection of information assets, governance and management of IT, information systems acquisition, development, and implementation, and information systems operations and business resilience. By prioritizing cybersecurity and fostering a strong security culture, organizations can reduce risks and encourage growth.
Information Theoretic Methods for Future Communication Systems
This book focuses on information and coding theoretic metrics, analyses, and methods applied to future communication and computation systems. Analyses of learning algorithms and information security problems are studied in detail. The main themes addressed are multiple access channels, interference channels, and delay-Doppler domain analysis, as well as secure and private compression, matrix multiplication, and transmission methods.
Atomic Structure of the Heaviest Elements
This reprint brings together many scientific contributions on current actinide research, both theoretical and experimental. Special attention is given to the theoretical modeling of the atomic spectra of actinides, the experimental study of their atomic and nuclear structure, and new developments in the production and spectroscopy of their elusive and rather exotic radionuclides.
The Role of Mining Pools in 51% Attack Prevention
If you're investing in Bitcoin or other cryptocurrencies, you know that security is paramount. But did you know that mining pools play a crucial role in preventing one of the biggest security threats: the 51% attack?In "The Role of Mining Pools in 51% Attack Prevention: Strategies and Best Practices," you'll learn everything you need to know about how mining pools work, why they're important, and how to choose the right one to keep your investments safe.Written by experts in the field of cryptocurrency mining, this book is packed with practical advice, real-world examples, and insider tips that you won't find anywhere else. You'll discover: - The basics of cryptocurrency mining, including how mining pools work- The risks of a 51% attack and how mining pools help prevent them- The different types of mining pools and how to choose the right one for your needs- Best practices for securing your mining pool and keeping your investments safe- Strategies for mitigating the risks of mining pool centralizationWhether you're a seasoned cryptocurrency investor or just getting started, "The Role of Mining Pools in 51% Attack Prevention" is a must-read. With the insights and advice in this book, you'll be able to make informed decisions about your investments, minimize your risks, and maximize your returns.Don't leave the security of your investments to chance. Get "The Role of Mining Pools in 51% Attack Prevention" today and take control of your cryptocurrency portfolio.
Implementing Enterprise Observability for Success
Unlock your organizational potential and scale your business using observability with this information packed guidePurchase of the print or Kindle book includes a free PDF eBookKey Features: Learn the principles of identifying stakeholders, tools, and processes necessary for implementing observabilityDevelop strategies to self-sustain the observability journey in the long runLearn with real-life case studies to set up observability for your enterpriseBook Description: Observability can be implemented in multiple ways within an organization based on the organization's needs. So, it's crucial for organizations to decide whether they need observability and to what extent, what skills and tools will suit them, and how long will it take to implement it. Implementing Enterprise Observability for Success provides a step-by-step approach to help you create an observability strategy, understand the principles behind the creation of the strategy, and logical steps to plan and execute the implementation.You'll learn about observability fundamentals and challenges, the importance of data and analytics along with different tools. Further, you'll discover the various layers from which data should be collected for setting up observability.Through real- life examples distilled from the author's experience in implementing observability at an enterprise level, you'll uncover some of the non-technical & technical drivers of observability like the culture of the organization, the hierarchy of stakeholders, tools at disposal and the willingness to invest.By the end of this book, you'll be well-equipped to plan the observability journey, identify different stakeholders, spot the technology stack required, and lay out an effective plan for organization-wide adoption.What You Will Learn: Understand observability fundamentals from scratchGet to grips with common challenges in implementing observabilitySegregate organizations according to their size for implementing observabilityLeverage analytics to better understand the value of collected dataExplore best practices from case studies to smoothen your observability journeyUnderstand the Observability Maturity Model and the essential people skills necessary to attain each maturity levelWho this book is for: This book is for technology leaders, architects, and initiative leads looking to enhance monitoring and/or implementing observability. Engineers, developers, and professionals already working on monitoring and analytics or are responsible for scaling the observability implementation across multiple teams or at an organizational level can also benefit from this book. A deep understanding of monitoring concepts, general knowledge of IT systems and processes along with familiarity with working across various stakeholders is required.
ClearRevise Exam Tutor OCR A Level H446
Exam Tutor and walk throughOver 1250 marks worth of exam-style revision questions with model answersExam tips and coaching just like a tutor would offerTwo complete practice exam papersAnswers to all questionsSpecification references for every topicClearRevise is all about making your revision easy. At the end of the course, doing practice papers is useful - but an exam tutor can make a big difference.This book helps provide support from both angles and will really help you to ace the exam.The first section is your exam tutor. It shows you example questions with model answers. Just like a tutor, it gives you exam tips and lets you know what the examiner is looking for. Secondly, you are then given similar questions from the same topic for you to have a go at, applying your knowledge and tips. With over 1000 marks in this section and all the answers provided you'll easily revise the topics as you go. Lastly, there are two complete exam papers written in the same style as the live OCR papers to try. They're exactly the same length and marks as the real exam, providing a realistic experience and a great opportunity to show how much you've progressed.
WordPress Start
With the help of this tutorial, you can create your own Internet resources based on the content management system WordPress. Thanks to the intuitive interface, the use of WordPress does not require knowledge of programming languages, which contributes to the development of the interests of a novice programmer.The tutorial covers in sufficient detail the theoretical and practical issues of creating a website from start to finish. Students will be taught how to register a domain name, select and purchase hosting, install and configure the content management system, select a design, install plug-ins, publish new materials and manage the content of the Internet resource.
Software-Defined Wide Area Network Architectures and Technologies
Starting with the problems and challenges faced by enterprise Wide Area Networks, this book provides a detailed description of Software Defined Networks' background and basic features, as well as the system architecture, operating mechanism, and application scenarios of SD-WAN solutions based on the implementation of Huawei SD-WAN solutions.
Modern Cryptography with Proof Techniques and Implementations
Proof techniques in cryptography are very difficult to understand even for students or researchers who major in cryptography. In addition, in contrast to the excessive emphases on the security proof of the cryptographic schemes, practical aspects of them have received comparatively less attention.
C Programming for Problem Solving
This book provides recent aspects of programming fundamentals with deep details in easy-to-understand C programming language. It covers many program codes with descriptions to understand the programming concept easily. The detail program flow works are described to understand the working of the program step by step. This book is intended for undergraduate students in computer science and it is written for students learning programming from scratch.
Opportunities and limits of an internal IT with a multi-project management approach
Document from the year 2011 in the subject Computer Science - Commercial Information Technology, grade: 1,0, University of Applied Sciences Deggendorf, language: English, abstract: In this paper the role of an internal IT and the handling of IT projects is discussed. The success factors of a good project and the problems which can occur are inspected. Furthermore, an MPM approach for the handling of several simultaneous projects is shown. In the seventies electronic data processing was a big issue for several companies. Early systems were big number crunchers and were installed exclusively by large organizations. Nowadays, the situation has changed. Data processing departments were renamed to IT departments and the IT is available to the smallest company. In the last years a lot of the internal IT departments were outsourced to reduce the costs. But later it was recognized that it is not always the best way to compete with others, particularly in terms of the globalization without an own IT. Those companies which kept their IT department also have problems. The IT is often considered as a black box with own rules. Projects which need IT resources often move into a dependency on the IT. In the last years the number of projects increased enormously. The high number of projects ends in a high requirement for the IT department. The problem is that nearly every project needs IT resources. Another problem is that in most companies several projects are handled simultaneously. For that, the IT must be efficiently organized with standardized processes to meet the demand for the resources. The classic project management has no tool in the portfolio to manage simultaneous projects and the resources because only a single project is considered. A new approach is needed, which is the missing link between the classic project management and the handling of simultaneous projects. An efficient way to handle several projects at the same time is the multi-project management (MPM) app
Writing In The Age Of AI
Creative writing is in a state of rapid evolution. Understanding what's changing and what will remain foundational is the key to success or failure for prospective authors. Drawing on David Poyer's nearly half century in writing, publishing, and teaching, Writing in the Age of AI updates experienced writers and introduces beginners to the effect new digital tools will have on both the mechanics and the process of writing successful novels, short stories, novellas, and nonfiction works such as memoirs. It also answers such questions as, Where do ideas come from? How can an author plan a novel or nonfiction book? What's the best way to avoid writer's block? How does the editing process work? How can AI be incorporated in the writing process? What sales tools will help one get published? The book covers both traditional and emergent means of writing and editing. Finally, it addresses the most effective ways forward for a career as a published author, teacher, or editor. Whether you're a seasoned pro or just starting out, Writing in the Age of AI is an essential resource for anyone who wants to succeed.
Zero Trust Proactive Cyber Security For Everyone
Proactive cyber security is the first step to protecting data and digital information from cybercriminals. It involves cyber security prevention measures such as establishing firewalls, setting up antivirus software, implementing two-factor authentication protections, and regularly backing up systems. By taking a proactive approach to cyber security, companies and individuals can protect themselves and other connected devices from malicious cyber attacks. These steps can make it much more difficult for cybercriminals to access sensitive information, increasing overall cyber security levels. Therefore, investing some time into setting up proper preemptive cyber security measures could go a long way towards safeguarding important information.
The Economics of Digital Transformation
This book presents a concise theoretical and conceptual framework for a more nuanced analysis of the economic and sociological impacts of the technological disruption that is taking place in the markets of goods and services, labour markets and the global economy more generally.
Understanding and Changing the World
This book discusses the importance of knowledge as an intangible asset, separate from physical entities, that can enable us to understand and/or change the world. It provides a thorough treatment of knowledge, one that is free of ideological and philosophical preconceptions, and which relies exclusively on concepts and principles from the theory of computing and logic. It starts with an introduction to knowledge as truthful and useful information, and its development and management by computers and humans. It analyses the relationship between computational processes and physical phenomena, as well as the processes of knowledge production and application by humans and computers. In turn, the book presents autonomous systems that are called upon to replace humans in complex operations as a step toward strong AI, and discusses the risks - real or hypothetical - of the careless use of these systems. It compares human and machine intelligence, attempting to answer the question ofwhether and to what extent computers, as they stand today, can approach human-level situation awareness and decision-making. Lastly, the book explains the functioning of individual consciousness as an autonomous system that manages short- and long-term objectives on the basis of value criteria and accumulated knowledge. It discusses how individual values are shaped in society and the role of institutions in fostering and maintaining a common set of values for strengthening social cohesion. The book differs from books on the philosophy of science in many respects, e.g. by considering knowledge in its multiple facets and degrees of validity and truthfulness. It follows the dualist tradition of logicians, emphasizing the importance of logic and language and considering an abstract concept of information very different from the one used in the physical sciences. From this perspective, it levels some hopefully well-founded criticism at approaches that consider informationand knowledge as nothing more than the emergent properties of physical phenomena. The book strikes a balance between popular books that sidestep fundamental issues and focus on sensationalism, and scientific or philosophical books that are not accessible to non-experts. As such, it is intended for a broad audience interested in the role of knowledge as a driver for change and development, and as a common good whose production and application could shape the future of humanity.
Fears and Worries With Biases in Artificial Intelligence
With Development AI, many people are just being overwhelmed and go by the trust that everything is fine with the trend of 'sophistication'. Experts know that this is not already the case unless specific implementations is oriented accordingly. The field which studies the matter is "Ethics", whereby several factors for societal benefits are considered. Each technology can be a contributing piece of power. Correspondingly, the need for preventing such powers from corruptions must be devised and implemented, along with technical progresses. Despite all these features, fears and worries due to AI biases prevail. There is need for distinct studies about ethics in AI to well understand the roots of such fears and worries. The subsequent objective is to formulate appropriate ethics guidelines and implementation pathways to be imbibed in development procedures. One means is to dig down the criticisms of AI to serious levels or previously unidentified levels, even if some may consider it disturbing or pessimistic, and formulate appropriate studies around them. Ethical objective of producing clean/workable/acceptable enhancements in AI, especially as concerns human factors can be worked out.
Nature Inspired Optimisation for Delivery Problems
This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing problems (VRPs), and multi-objective problems, with an emphasis on heuristic approaches and software engineering aspects. In turn, Part II demonstrates how to exploit geospatial data, routing algorithms, and visualization. In Part III, the above techniques and insights are combined in real-world success stories from domains such as food delivery in rural areas, postal delivery, workforce routing, and urban logistics.The book offers a valuable supporting text for advanced undergraduate and graduate courses and projects in Computer Science, Engineering, Operations Research, and Mathematics. It is accompanied by a repository of source code, allowing readers to try outthe algorithms and techniques discussed.
Information Technology and Organizational Learning
This book focuses on the need to integrate digital technology fully into the culture of all organizations. This 4th Edition includes new topics such as the challenges of assimilating multiple generations of employees and establishing working cultures that are more resilient, adaptive and can be configured as a platform driven by data assets.
Building and Delivering Microservices on AWS
Quickly deliver microservices with CodeCommit, CodeBuild, CodeDeploy, and CodePipeline using software architecture patterns, microservices, and release pipelines Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn software architecture and microservices design patterns from an AWS certified professional architectDevelop microservices using Spring Boot and automate the release using CodePipelineDeploy microservices using CodeDeploy to EC2 instances, containers, and on premisesBook DescriptionReliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines. You'll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You'll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you'll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you'll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins. By the end of this microservices book, you'll have gained the hands-on skills to build release pipelines for your applications.What you will learnUnderstand the basics of architecture patterns and microservice developmentGet to grips with the continuous integration and continuous delivery of microservicesDelve into automated infrastructure provisioning with CloudFormation and TerraformExplore CodeCommit, CodeBuild, CodeDeploy, and CodePipeline servicesGet familiarized with automated code reviews and profiling using CodeGuruGrasp AWS Lambda function basics and automated deployment using CodePipelineUnderstand Docker basics and automated deployment to ECS and EKSExplore the CodePipeline integration with Jenkins Pipeline and on premises deploymentWho this book is forThis book is for software architects, DevOps engineers, SREs, and cloud engineers who want to learn more about automating their release pipelines for modifying features and releasing updates. Prior knowledge of AWS Cloud, Java, Maven, and Git will help you to get the most out of this book.Table of ContentsSoftware Architecture PatternsMicroservices Fundamentals and Design PatternsCI/CD Principles and Microservice DevelopmentInfrastructure as CodeCreating Repositories with AWS CodeCommitAutomating Code Reviews Using CodeGuruManaging Artifacts Using CodeArtifactBuilding and Testing Using AWS CodeBuildDeploying to an EC2 Instance Using CodeDeployDeploying to ECS Clusters Using Code DeploySetting Up CodePipeline CodeSetting up an Automated Serverless Deployment Automated Deployment to an EKS Cluster Extending CodePipeline Beyond AWS Appendix
The Hacker's Zibaldone
A "Zibaldone" is a type of book that originated in 14th Century Italy, typically used as a notebook to collect notes, ideas, and observations on a wide range of subjects. True to its original name, "The Hacker's Zibaldone" is not just another cybersecurity book. It's a holistic, practical, and fun introduction to this challenging world by means of a varied collection of tutorials, reviews, insights, code snippets, walkthroughs, stories, and recommendations where anyone, from students and hobbyists to seasoned professionals will find something unexpected, curious and new. A wide range of cybersecurity topics is covered, including: * Introductions to basic concepts, terminology, and principles * Tutorials and best practices * Instructive code snippets * Step-by-step walkthrough of online CTF challenges * Reviews of cybersecurity-related books, movies, and games and even some original AI-generated and hacker-themed stories and artwork!
Bitcoin vs Altcoins
Have you ever wondered about the debate over which cryptocurrency or blockchain project is the best? Whether you are personally in the midst of this raging battle or have never heard of it, Bitcoin vs Altcoins gives a powerful examination of this historic phenomena.Too often, we witness pointless insults thrown at the other camp, devoid of sound arguments and constructive discussions. Why is there such a heated argument in one asset class that is not present in others, such as in the stock market?Does it really matter if other cryptocurrencies exist? How would things be different if Bitcoin had been the sole cryptocurrency around since 2009? The question arises, is bitcoin after all an outdated first draft of the crypto concept, or is it sufficiently resilient to remain the dominant cryptocurrency?In this book, Phil Champagne, the author of The Book of Satoshi, explores the big picture. Through topics including: gold & silver, real estate, the economy (Proof-of-Debt), consensus mechanisms (Proof-of-Work, Proof-of Stake, and Proof-of Authority), smart contracts, Lighting Network, decentralization, resilience, network effect and much more, be ready to take an honest look at the whole picture, no matter which side you're currently on."A cryptocurrency's ability to be resilient against manipulation is as strong as its consensus mechanism and its network effect."Want to learn more about the battle for dominance? Join Phil in this journey, Bitcoin vs Altcoins.
Machine Learning for Education
A guide to understand the basics of machine learning and its application in the field of educationKey Features● Create a more efficient and effective learning environment that meets the needs of all students.● Learn how to use the profound Machine learning advancements in the field of education.● Understand how students can use machine learning tools to improve their learning and track their progress.Description"Machine Learning for Education" is a book that explores the application of machine learning techniques in the field of education. It covers a wide range of topics, including personalizing learning using machine learning, improving student outcomes, and optimizing educational resources. The book delves into various machine learning techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning, and how they can be applied to different areas of education such as curriculum design, assessment, and student engagement. The book takes a novel approach to explain the applications of machine learning in education through relatable real-life examples, existing problems and proposing thought-provoking solutions to the same. At the end of each chapter, there are crossword puzzles, word grids, and comprehensive exercises designed to reinforce the concepts discussed in the chapter and ensure a thorough understanding. After reading the book, you will have gained the ability to implement the various features and solutions offered by machine learning within the field of education.What you will learn● Get familiar with the fundamentals of Machine Learning.● Explore different Machine learning solutions for primary and secondary education.● Discover ways to use Machine learning enhanced teaching and learning.● Understand how AI can be used to assess your child's academic progress.● Understand how Machine learning can assist educational administrators.Who this book is forThe book is suitable for anyone who is directly or indirectly involved in the current education landscape, including students, parents, teachers, and educational administrators. No previous knowledge of machine learning is required.Table of Contents1. Basics of Machine Learning2. Machine Learning for Students3. Machine Learning for Parents4. Machine Learning for Teachers5. Machine Learning for Educational Administrators
Advances in Computing, Electrical, Electronics, Mechanical and Communication Sectors
The book's goal is to provide a premier interdisciplinary platform for leading academic scientists, industry peers, research fellows, and students to share the most up-to-date research and information on recent innovations, practical challenges, and solutions in the fields of electrical, electronics, mechanical, computer, and communication engineering. Quality research will support future advancements in a variety of engineering and technology areas. The book will facilitate worldwide collaborations by offering networking possibilities, developing appropriate solutions for a variety of applications and contemporary technology, and assisting in the creation of sustainable development solutions. The Advances in Computing, Electrical, Electronics, and Communication Sector Book Series seeks to publish research on a variety of engineering and technology-related subjects. The disciplines of computer, electronics, mechanical, communication, and electrical engineering include a wide variety of interdisciplinary subjects, allowing for multidisciplinary study. As many disciplines have become an essential part of daily life, research in these areas continues to grow and become more vital. This book may be helpful for both students and academics due to the wide variety of subjects addressed.For more details, please visit https: //centralwestpublishing.com
Programs as Diagrams
It is not always clear what computer programs mean in the various languages in which they can be written, yet a picture can be worth 1000 words, a diagram 1000 instructions. In this unique textbook/reference, programs are drawn as string diagrams in the language of categories, which display a universal syntax of mathematics (Computer scientists use them to analyze the program semantics; programmers to display the syntax of computations). Here, the string-diagrammatic depictions of computations are construed as programs in a single-instruction programming language. Such programs as diagrams show how functions are packed in boxes and tied by strings. Readers familiar with categories will learn about the foundations of computability; readers familiar with computability gain access to category theory. Additionally, readers familiar with both are offered many opportunities to improve the approach. Topics and features: Delivers a 'crash' diagram-based course in theory of computationUses single-instruction diagrammatic programming languageOffers a practical introduction into categories and string diagrams as computational toolsReveals how computability is programmability, rather than an 'ether' permeating computers Provides a categorical model of intensional computation is unique up to isomorphismServes as a stepping stone into research of computable categories In addition to its early chapters introducing computability for beginners, this flexible textbook/resource also contains both middle chapters that expand for suitability to a graduate course as well as final chapters opening up new research. Dusko Pavlovic is a professor at the Department of Information and Computer Sciences at the University of Hawaii at Manoa, and by courtesy at the Department of Mathematics and the College of Engineering. He completed this book as an Excellence Professor at Radboud University in Nijmegen, The Netherlands.
Nanotechnology for Electronic Materials and Devices
Electronics nanotechnology represents a multidisciplinary field with a very broad range of applications used to address different challenges. This reprint, through eleven original research articles, aims to acknowledge recent developments related to the fabrication and applications of nanomaterials: synthesis, characterization, and device fabrication.
Recent Advances in Educational Robotics
Over the past decade, the field of robotics has become increasingly popular among educators and researchers alike as a powerful tool for enhancing learning experiences. From preschool to high school students, educational robotics has shown the potential to improve cognitive and social skills, while facilitating interdisciplinary learning activities in various subjects such as science, mathematics, technology, and computer science. This reprint explores the emerging field of educational robotics, focusing on its creation, implementation, improvement, and validation of pedagogical activities, tools, and technologies. Our goal is to provide an overview of the latest research, trends, and best practices in the field, particularly emphasizing how educational robotics can enhance students' learning experiences in an engaging and interactive environment. Moreover, drawing on a literature review, this book explores the growing field of educational robotics and its potential to revolutionize science and technology education at all levels. Through hands-on, fun activities and an attractive learning environment, educational robotics can spark students' interest and curiosity, making learning a more enjoyable and rewarding experience. We hope this reprint will serve as a valuable resource for educators, researchers, and students alike, inspiring them to explore the exciting world of educational robotics and its potential to transform how we teach and learn.
Evolutionary Multi-objective Optimization
This volume is a reprint of the Honorary Special Issue dedicated to the 60th birthday of Professor Dr. Kalyanmoy Deb, published in the journal Mathematical and Computational Applications (MCA). Kalyanmoy Deb has been a pioneer and highly impactful and influential proponent of Evolutionary Multi-objective Optimization (EMO) since 1994. He is currently a Koenig Endowed Chair Professor and University Distinguished Professor in the Department of Electrical and Computer Engineering at Michigan State University, USA, and holds additional appointments in Mechanical Engineering and in Computer Science and Engineering. Professor Deb's research interests are in evolutionary optimization and its application in multi-objective optimization, modeling, machine learning, and in multi-objective decision making. He has been a visiting professor at various universities across the world, including IITs in India, Aalto University in Finland, the University of Skovde in Sweden, and Nanyang Technological University in Singapore. He was awarded the IEEE Evolutionary Computation Pioneer Award, the Infosys Prize, the TWAS Prize in Engineering Sciences, the CajAstur Mamdani Prize, the Distinguished Alumni Award from IIT Kharagpur, the Edgeworth Pareto Award, the Bhatnagar Prize in Engineering Sciences, and the Bessel Research Award from Germany. He is a fellow of IEEE, ASME, and three Indian science and engineering academies.
Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education
The present reprint contains all of the articles accepted and published in the Special Issue " Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education" from the MDPI journal Mathematics. This Special Issue aims to develop more efficient and effective approaches to healthcare and education, leveraging the increasing availability of big data and advancements in artificial intelligence. By sharing new methods, applications, and case studies, this reprint is dedicated to the development of innovative solutions that improve healthcare and education for all. The topics addressed in this Special Issue cover a wide range of areas, including data mining, machine learning, learning analytics, prediction methods, pattern recognition, decision analysis, probabilistic reasoning, fuzzy systems, student or patient modelling, adaptive systems, collaborative systems, recommendation systems, experimental design, and empirical study cases. We hope that this reprint will enable the scientific community in both medicine and education to leverage the techniques from statistics and artificial intelligence to drive significant advances in their respective fields. These approaches hold promise for improving patient outcomes and enhancing the quality of education for students around the world.
Machine Learning. Supervised and unsupervised learning, latent semantic indexing, spectral clustering and Bellman equations
Document from the year 2022 in the subject Computer Sciences - Artificial Intelligence, grade: B.Tech, Amity University (Amity School of Engineering and Technology), language: English, abstract: The study material of Machine Learning is designed mainly for the students of engineering graduates. The syllabus is taken from Guru Gobind Singh Indraprastha University Delhi. It covers mainly all the topics of the subjects. The course is designed in a simple and precise manner. For complete knowledge and more study about the subject, students are advised to follow the books referred to in the references. Machine learning is a subfield of computer science, but is often also referred to as predictive analytics, or predictive modeling. Its goal and usage is to build new and/or leverage existing algorithms to learn from data, in order to build generalizable models that give accurate predictions, or to find patterns, particularly with new and unseen similar data.
Foundations of Java Programming
This book is an introduction to the Java programming language, a tutorial based on 76 short Java programs, each one of them no longer than a single page. I believe that an introduction to any programming language has to be based on short programs, short enough that the readers will type all of them with their own hands, line by line, before compiling and executing them. The important computer science concepts are first introduced (theoretically) and then applied (practically) with the help of these 76 short Java examples. In this way the readers will master all the Java topics required for the OOP option of the International Baccalaureate Computer Science exam.
Logic and Computation
The present reprint contains five articles accepted and published in the Special Issue "Logic and Computation 2023" of the MDPI "Mathematics" journal, covering several topics on computing science based on some form of logic. These topics include the model theory for formal logic-based formal specification and programming, logic mining and logic for games. It is hoped that the reprint will be interesting and useful for those working in the area of applying logic to computing.
The Best of Hack and /
Kyle Rankin wrote a monthly column titled "Hack and /" for Linux Journal magazine for almost 12 years starting in their January 2008 issue until Linux Journal closed for good on August 7, 2019. The column aimed to provide useful tips and tricks on topics ranging from system administration to security to 3D printing to VIM. After he published his final farewell article for Linux Journal, one of the most common questions he got was "what's going to happen to the giant archive of articles?" He realized he had a whole book's worth of material just in sysadmin tips alone. This book doesn't aim to be an exhaustive guide to everything you need to know to be a system administrator. Instead, this book allows Rankin to act as a remote mentor to someone starting out in IT or system administration whether as a full-time job or as a full stack developer. Think of each section in a chapter like sitting down with him over lunch or looking over his shoulder as he shows you a tip to save you time, a tool he found useful, a lesson he learned the hard way, or an explanation of how he'd tackle a project you got assigned. Table of Contents Chapter 1 Sysadmin 101 - The Importance of Learning IT Fundamentals - Leveling Up: A Sysadmin Career Path - Automation - Ticketing - Patch Management - Alerting - Preparing for Vacation - Travel Laptops Tips in Practice Chapter 2 Sysadmin's Toolbox - Filesystem Hierarchy Standard - Scheduling One-time Jobs with At - Sort and Uniq - Tracking Bandwidth with Iftop - Right Command, Wrong Server - Chopping Logs - Shorter Commands - Add Progress Bars to dd - Lock Files with the flock Command Chapter 3 Home Servers - Setting Up Your Network - Setting Up A Home DNS Server - A Local Mail Server - Clustering with Raspberry Pis - Home As Your Backup Data Center Chapter 4 Server Projects - Last Minute Secondary Mail Server - Check Exchange from the Command Line - Migrate to a New Hard Drive - Remotely Wipe a Server - Preseeding Full Disk Encryption - Localhost DNS Cache - PXE Magic - More PXE Magic Chapter 5 When Disaster Strikes - Stop Killing Your Cattle - Troubleshooting High Load - Troubleshooting the Local Network - Troubleshooting Remote Networks - Troubleshooting with Telnet - Collecting Server Metrics with Sar - Dynamic DNS Disaster - Troubleshoot Full Disks - Hard Drive Crashes - Recover the Master Boot Record - Restoring Deleted Files Appendices A My Favorite Infrastructure Sample Chapter: https: //kylerank.in/bohs_lacc_sample_chapter.pdf
Validated Numerics
A comprehensive, self-contained primer on validated numerics This textbook provides a comprehensive introduction to the theory and practice of validated numerics, an emerging new field that combines the strengths of scientific computing and pure mathematics. In numerous fields ranging from pharmaceutics and engineering to weather prediction and robotics, fast and precise computations are essential. Based on the theory of set-valued analysis, a new suite of numerical methods is developed, producing efficient and reliable solvers for numerous problems in nonlinear analysis. Validated numerics yields rigorous computations that can find all possible solutions to a problem while taking into account all possible sources of error--fast, and with guaranteed accuracy. Validated Numerics offers a self-contained primer on the subject, guiding readers from the basics to more advanced concepts and techniques. This book is an essential resource for those entering this fast-developing field, and it is also the ideal textbook for graduate students and advanced undergraduates needing an accessible introduction to the subject. Validated Numerics features many examples, exercises, and computer labs using MATLAB/C++, as well as detailed appendixes and an extensive bibliography for further reading.Provides a comprehensive, self-contained introduction to validated numericsRequires no advanced mathematics or programming skillsFeatures many examples, exercises, and computer labsIncludes code snippets that illustrate implementationSuitable as a textbook for graduate students and advanced undergraduates
Nonlocal Continuum Limits of P-Laplacian Problems on Graphs
In this Element, the authors consider fully discretized p-Laplacian problems (evolution, boundary value and variational problems) on graphs. The motivation of nonlocal continuum limits comes from the quest of understanding collective dynamics in large ensembles of interacting particles, which is a fundamental problem in nonlinear science, with applications ranging from biology to physics, chemistry and computer science. Using the theory of graphons, the authors give a unified treatment of all the above problems and establish the continuum limit for each of them together with non-asymptotic convergence rates. They also describe an algorithmic framework based proximal splitting to solve these discrete problems on graphs.
The Essence of Software
A revolutionary concept-based approach to thinking about, designing, and interacting with software As our dependence on technology increases, the design of software matters more than ever before. Why then is so much software flawed? Why hasn't there been a systematic and scalable way to create software that is easy to use, robust, and secure? Examining these issues in depth, The Essence of Software introduces a theory of software design that gives new answers to old questions. Daniel Jackson explains that a software system should be viewed as a collection of interacting concepts, breaking the functionality into manageable parts and providing a new framework for thinking about design. Through this radical and original perspective, Jackson lays out a practical and coherent path, accessible to anyone--from strategist and marketer to UX designer, architect, or programmer--for making software that is empowering, dependable, and a delight to use. Jackson explores every aspect of concepts--what they are and aren't, how to identify them, how to define them, and more--and offers prescriptive principles and practical tips that can be applied cost-effectively in a wide range of domains. He applies these ideas to contemporary software designs, drawing examples from leading software manufacturers such as Adobe, Apple, Dropbox, Facebook, Google, Microsoft, Twitter, and others. Jackson shows how concepts let designers preserve and reuse design knowledge, rather than starting from scratch in every project. An argument against the status quo and a guide to improvement for both working designers and novices to the field, The Essence of Software brings a fresh approach to software and its creation.
You & AI
As we increasingly integrate artificial intelligence (AI) into our everyday lives, many pressing questions remain: What exactly is AI, and how does it differ from human intelligence? How will AI influence our future, and what challenges must we overcome to develop ethical AI? Explore the exciting world of AI and its impact on our daily lives and society with this ultimate guide. Dr. Anne Scherer and Dr. Cindy Candrian reveal everything about the latest scientific findings on the big questions of AI. Discover the evolution of AI and how unconscious perceptions can influence our trust in it. Learn more about the creativity of machines and how our data is used by AI. With this book, you will learn how to harness the power of AI to make better decisions and what to pay particular attention to, so you don't inadvertently get manipulated, deprived of your abilities, or led to discriminatory decisions. Are you ready to unlock the secrets of "You & AI"? Then this book is perfect for you
Foundations of Software Science and Computation Structures
Brain Language Dictionary
A New Era. We can communicate through thoughts. Visit www.twofuture.world
PRO GAME ZOMBIES in THE ZOMBIES' ESCAPE
Nessa nova aventura do Minecraft Marco Peliot, o famoso arqueologo, encontro um velho livro que pertencia a seu av繫 e descobre um pergaminho a qual mostra um vilarejo abandonado e misterioso. Sem pensar duas vezes embarca junto com seu parceiro de aventura, Takko, em busca de desvendar o enigma do vilarejo, eles s籀 n瓊o contavam se deparar com seres totalmente estranhos e com situa癟繭es horripilantes.
Algorithmic Aspects of Cloud Computing
This book constitutes revised selected papers from the refereed proceedings of the 7th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2022, which took place in Potsdam, Germany, on September 6, 2022.The 6 full papers included in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: Cloud-Based Urban Mobility Services; New Results in Priority-Based Bin Packing; More Sparking Soundex-based Privacy-Preserving Record Linkage and Privacy Preserving Queries of Shortest Path Distances.
Confidentiality, Integrity and Authentication (Cia) for Internet-Of-Drones (Iod) Technology
This book focuses on the secure authentication of all entities involved in the Internet-of-Drones (IoD) environment. Once it becomes securely authenticated, then information broadcasting among each other shall never be compromised. No one forges any message from the open network channel. Its integrity and confidentiality have been preserved. Keeping in view this challenging task, we have first designed a security mechanism based on HMACSHA1 in chapter 1, a simple hash function-based security mechanism in chapter 2, a public key infrastructure (PKI) based protocol in chapter 3, identity, aggregate signature and paring cryptographic based security framework in chapter 4 and elliptic curve cryptographic (ECC) based scheme in chapter 5. We have designed system, network, adversary, and threat models in each chapter. We have also presented a critical literature review in each chapter, analyzed the security of each mechanism in that specific chapter, measured the performance, and compared the newly designed protocol with state-of-the-art protocol in terms of communication and computation costs.
Quantum Information and Computation
Quantum information and quantum computing are very rapidly developing research directions in recent years. This book introduces some of the latest developments in quantum theory, including basic physical theories such as quantum entanglement, and quantum information processing; and applications such as quantum secret key allocation, and several types of quantum algorithms. This book is suitable for some researchers or students to read.
