Security in Operating System
Security in operating systems is paramount for protecting data, ensuring privacy, and maintaining system integrity. Operating systems employ several key mechanisms to achieve these goals. Access control mechanisms, such as user authentication and authorization, restrict access to resources based on user privileges. Encryption techniques ensure that data remains confidential during storage and transmission. Secure boot processes and sandboxing isolate and protect system components and applications from unauthorized access or malicious software. Regular security updates and patches mitigate vulnerabilities, while intrusion detection systems monitor for unauthorized access attempts or suspicious activities. Additionally, audit logs provide a trail of system events for forensic analysis. By integrating these security measures, operating systems can effectively safeguard against a wide range of threats, ensuring a secure computing environment for users and organizations alike.
A tool for sharing learning objects
What is moodle? Moodle (Modular Object Oriented Distance Learning) is a management system for creating online courses. These systems are also called Virtual Learning Environments (VLE) or Learning Management Systems (LMS). Moodle is free learning support software and can be installed on various platforms that can run the php language, such as Unix, Linux, Windows. MAC OS. MySQL, PostgreSQL, Oracle, Access, Interbase or ODBC can be used as databases. It is developed collaboratively by a virtual community of programmers, designers, administrators, teachers and users from all over the world and is available in several languages. Moodle has been used to support face-to-face courses. Teachers end up replacing the need to leave material in the college's photocopier or send files to a large number of their students' emails, they just have to have a subject created in moodle to "hang" the text files there, which the students must read to follow the subject. Taken from www.moodlelivre.com.br
Advanced Data Structure
Advanced data structures provide powerful tools for efficient manipulation and retrieval of data, crucial in diverse computational tasks. Structures like segment trees excel in handling range queries and updates with logarithmic time complexity, making them invaluable for applications needing frequent computations over contiguous subarrays. Tries, or prefix trees, are optimal for managing and querying sets of strings based on prefixes, essential for autocomplete and dictionary implementations. Heaps, including binary heaps and priority queues, efficiently manage elements with priorities, ensuring quick access to the highest (or lowest) priority item. Hash tables provide average constant-time operations for insertion, deletion, and search, ideal for scenarios requiring fast key-based data retrieval. Each of these structures offers unique advantages, from space efficiency and rapid operations to specialized handling of specific data types and operations, making them essential tools for algorithm design and optimization in various domains.
Basic Concept of Data Structure
Data structures are essential components in computer science, serving as organized formats to store, manage, and manipulate data efficiently. They enable the effective implementation of algorithms and facilitate operations such as data retrieval, insertion, deletion, and modification. Common data structures include arrays, linked lists, stacks, queues, trees, and graphs, each with unique characteristics and use cases. Arrays provide indexed access to elements but have fixed sizes, while linked lists offer dynamic memory usage with efficient insertions and deletions. Stacks and queues operate on LIFO (Last-In-First-Out) and FIFO (First-In-First-Out) principles, respectively, and are used in various applications like expression evaluation and task scheduling. Trees, such as binary trees and heaps, represent hierarchical data and support fast search and sort operations. Graphs model complex relationships between data points and are essential in network analysis, pathfinding, and numerous other fields. Choosing the appropriate data structure is critical for optimizing performance and resource utilization in software development and problem-solving.
Advanced Operating System
Advanced operating systems represent a sophisticated evolution beyond basic functionalities, tailored to manage complex computing environments with efficiency and flexibility. These OSs excel in handling concurrent tasks and utilizing multi-core processors effectively, supporting seamless multitasking and parallel computing. They incorporate virtualization technologies like virtual machines and memory management, enabling efficient resource allocation and isolation of applications for enhanced security and scalability. Advanced OSs also embrace distributed systems, facilitating robust communication across networks through reliable IPC mechanisms such as RPC and message-oriented middleware. They prioritize fault tolerance and reliability with features like RAID and journaling file systems, ensuring data integrity and system availability. Security is paramount, encompassing comprehensive measures for authentication, encryption, and access control to safeguard against cyber threats. These OSs are adept at managing diverse hardware resources through optimized scheduling algorithms and memory management techniques while offering intuitive user interfaces and accessibility features.
Decision-Making Models
Decision Making Models: A Perspective of Fuzzy Logic and Machine Learning presents the latest developments in the field of uncertain mathematics and decision science. The book aims to deliver a systematic exposure to soft computing techniques in fuzzy mathematics as well as artificial intelligence in the context of real-life problems and is designed to address recent techniques to solving uncertain problems encountered specifically in decision sciences. Researchers, professors, software engineers, and graduate students working in the fields of applied mathematics, software engineering, and artificial intelligence will find this book useful to acquire a solid foundation in fuzzy logic and fuzzy systems. Other areas of note include optimization problems and artificial intelligence practices, as well as how to analyze IoT solutions with applications and develop decision-making mechanisms realized under uncertainty.
Philosophical Analysis of Personal Information Security
The monograph is devoted to the study of philosophical aspects of personal protection in the global information space. The author considers the key concepts of information security through the prism of philosophy, analyzing the impact of information technologies on human consciousness and identity. The work reveals the problems of privacy, digital identity and ethical dilemmas arising as a result of technological progress. Particular attention is paid to the formation of information culture and the development of normative frameworks that promote the protection of personal data and ensure sustainable development of the information society. The monograph is of interest to specialists in philosophy, sociology, information technology, as well as to all those interested in the problems of information security in the modern world.
Formal Aspects of Component Software
This book constitutes the refereed proceedings of the 20th International Conference on Formal Aspects of Component Software, FACS 2024, held in Milan, Italy, during September 9-10, 2024. The 7 full papers and 1 short paper included in this book were carefully reviewed and selected from 16 submissions. They are organized in topical sections as follows: verification and testing, formal models, and security and blockchain.
Cellular Automata
This book constitutes the refereed proceedings of the 16th International Conference on Cellular Automata for Research and Industry, Cellular Automata, ACRI 2024, held in Florence, Italy, in September 9-11, 2024. The 20 full papers presented were carefully reviewed and selected from 33 submissions. They were organized in the following topical sections: theory, mathematical and physical models; computational aspects and applications; social and biological models.
Systems, Software and Services Process Improvement
The two-volume set CCIS 2179 + 2180 constitutes the refereed proceedings of the 31st European Conference on Systems, Software and Services Process Improvement, EuroSPI 2024, held in Munich, Germany, during September 2024. The 55 papers included in these proceedings were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: Part I: SPI and Emerging and Multidisciplinary Approaches to Software Engineering; SPI and Functional Safety and Cybersecurity; SPI and Standards and Safety and Security Norms; Part II: Sustainability and Life Cycle Challenges; SPI and Recent Innovations; Digitalisation of Industry, Infrastructure and E-Mobility; SPI and Agile; SPI and Good/Bad SPI Practices in Improvement.
Implementation and Application of Automata
This book constitutes the proceedings of the 28th International Conference on Implementation and Application of Automata, CIAA 2024, held in Akita, Japan, during September 3-6, 2024. The 24 full papers and one invited paper presented here were carefully reviewed and selected from 38 submissions. These papers have been covering various fields in the application, implementation, and theory of automata and related structures.
Information Security - Risk Management Framework
In today's digital age, where data preservation is the cornerstone of security and communications, safeguarding this invaluable asset has never been more critical. In Information Security, Dr. Shekh Abdullah-Al-Musa Ahmed offers a dedicated framework for prevention techniques and will help readers navigate the complex and ever evolving landscape of digital data protection from social engineering attacks. It is imperative to recognize the fundamental necessity of information security risk management and to develop framework. Every bit and byte of Digital information holds immense value, whether it pertains to personal identities, corporate secrets, or the intellectual property of nations.
Centralized Grievance System Portal
Centralized Grievance System Portal" is a comprehensive guide designed to provide readers with an in-depth understanding of the principles, practices, and technologies that underpin modern grievance management systems. This book is the culmination of extensive research, practical experience, and a deep commitment to improving how grievances are handled across various sectors. Our motivation for writing this book stems from a shared vision of creating more equitable and responsive systems for addressing concerns and complaints. We have witnessed firsthand the positive impact that a well-implemented grievance system can have on an organization's culture and productivity. This inspired us to compile our knowledge and insights into a resource that can assist others in implementing or refining their own grievance management processes.
Building Education Platform
Study Stash, a dynamic online platform meticulously crafted to cater to the academic needs of students enrolled in the University, emerges as a dedicated resource hub designed to elevate the learning experiences of college students. Our platform stands out by offering a diverse range of study materials that cater to the unique requirements of engineering and technology disciplines.Emphasizing accessibility and versatility, Study Stash serves as a centralized repository where students can seamlessly access a wealth of subject-specific resources. These resources include meticulously curated lecture notes, comprehensive practice exams, and engaging multimedia content.
State-Space Control Systems
These lecture notes present the mathematical tools and techniques necessary for the analysis and representation of linear multi-variable dynamic systems (or MIMO: Multi-Input Multi-Output) in the state space.The first chapter introduces the fundamental concepts of state representation and its main properties. This approach generally involves the use of canonical representations and the solution of state equations. The second chapter is dedicated to the correction of linear multi-variable systems through state feedback, as well as techniques for pole or eigenvalue placement for its implementation.Implementing state feedback control often requires access to the components of the state vector, a condition that is not always met. In such cases, the use of an observer becomes essential to estimate the temporal evolution of unmeasured components. The concept of an observer is detailed in the third chapter.At the end of this document (Chapter four), we propose a series of examples of state-space system processing and analysis, to put into practice the various methods discussed throughout the first three chapters. The book closes with a set of additional exercises and typical problems.
GBBS Pro Bulletin Board System
GBBS Pro 2.3 is a user-friendly, highly-modifiable Bulletin Board System (BBS) for communications and entertainment. It has advanced features that can be configured by a novice, yet challenge advanced programmers. Originally released between 1980 and 1993 for Apple II computers, this new 2.3 version has many refinements, including an updated Mail and File Transfer system. Experience the world of BBS's from days gone by and start your own BBS!. Features: - Multiple Bulletin Boards, Private Electronic Mail, Full Editor. - Downloads/Uploads, Voting/Survey, Expandable Features. - 300 to 38400 Baud Modem Support and Internet-capable. - Over 380 pages of documentation, tutorials, development history, and forewords from experienced BBS sysops.
An Overview of Deep Learning in Medical Imaging Focusing on MRI images
Machine learning has seen some dramatic developments recently, leading to a lot of interest from industry, academia and popular culture. These are driven by breakthroughs in artificial neural networks, often termed deep learning, a set of techniques and algorithms that enable computers to discover complicated patterns in large data sets. Feeding the breakthroughs is the increased access to data ("big data"), user-friendly software frameworks, and an explosion of the available compute power, enabling the use of neural networks that are deeper than ever before. These models nowadays form the state-of-the-art approach to a wide variety of problems in computer vision, language modeling and robotics. Deep learning rose to its prominent position in computer vision when neural networks started outperforming other methods on several high-profile image analysis benchmarks. Most famously on the Image Net Large-Scale Visual Recognition Challenge (ILSVRC) in 2012 when a deep learning model (a convolutional neural network) halved the second-best error rate on the image classification task.
Human Factors in ISO 27001 Training Awareness Programs
This book explores the factors affecting employee engagement and knowledge retention in ISO 27001 training programs within IT SMEs. By examining information security culture, human factors, teaching strategies, and challenges faced by SMEs, the research aims to understand their impact on training effectiveness. Data from 288 participants in Lagos, Nigeria, collected via a mixed-methods approach, reveal that a strong information security culture positively influences engagement and retention. Positive human factors, such as motivation and clear communication, alongside well-designed teaching strategies, enhance these outcomes. However, SME-specific challenges like time constraints and resource limitations hinder engagement and retention. The findings provide valuable insights for developing effective training programs that boost employee empowerment and organizational success.
Design and production of a prize list management application
This book is an academic work that deals with the setting up of a school league table, with the aim of easily listing all the pupils who have studied at school x over the years. The major challenge facing today's organizations is data handling, especially data retrieval. The proposed application would solve this problem. This book therefore comprises two essential parts, one focusing on design and the other on programming. An architecture is proposed, enabling the application to be deployed and used effectively.
Handling unbalanced classes using assembly methods
The present work concerns decision optimization using ensemblistic methods for processing unbalanced databases. To achieve this, we used ensemblistic methods, which are based on the homogeneous combination of predictions or classifiers for better generalization.In our project, we used the Credit Card Fraud Detection database to generate and evaluate the proposed model. We also chose the random forest combination method, which combines several decision trees and applies the majority voting strategy to generate an optimal prediction.The aim of our study is to build a prediction model using assembly methods to improve the performance of an individual classifier in dealing with unbalanced datasets.To achieve our goal, apart from the random forest combination method used, we also used the subsampling and oversampling methods to achieve the same results and finally draw a conclusion on the three methods used and this we implemented with the phyton programming language.
Features of Teaching Computer Modeling in Informatics Lessons
In the modern world of technology and information, the ability to use a computer and its software has become an essential component of an educated individual. Computer modeling, as one of the branches of informatics, holds a special place in the educational process because it allows not only the theoretical assimilation of material but also the practical application of knowledge to solve real-world problems. Consequently, the teaching of computer modeling is gaining increasing popularity and requires a specific approach to the organization and conduct of informatics lessons. The purpose of this monograph is to study the features and effective methods of teaching computer modeling in informatics lessons. Thus, this monograph aims to deepen knowledge in the field of teaching computer modeling and to provide practical recommendations for improving the quality of informatics teaching in schools. The implementation of the proposed methods will prepare students for the modern challenges of the information society and contribute to the development of their professional competencies in the field of IT.
Verified Software. Theories, Tools and Experiments
This book constitutes the refereed proceedings of the 15th International Conference on Verified Software, VSTTE 2023, held in Ames, IA, USA, October 23-24, 2023. The 6 full papers presented in this volume were carefully reviewed and selected from 13 submissions. They focus on requirements modeling, specification languages, software design methods, automatic code generation, refinement methodologies, and more.
GitHub for Next-Generation Coders
Build a powerful portfolio on GitHub that showcases your most impressive coding projects and technical skillsKey Features: - Explore GitHub's powerful features and make it the central hub for all your coding adventures- Learn how to use GitHub Copilot as your coding sidekick, suggesting lines of code to help you write faster and smarter- Learn how to optimize and personalize your GitHub profiles for maximum impact from a community leader- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Navigating the world of collaborative software development can be daunting, especially for young coders just starting their programming journey. This book is designed to take you on a coding adventure, transforming you from a curious beginner into a confident GitHub user.The book builds a solid foundation and explains the Git version control system in depth, helping you understand how to track changes, collaborate effectively, and manage your projects with ease. You'll master repositories, the building blocks of your coding projects, and learn branching strategies to experiment and work seamlessly with others. The chapters will teach you about GitHub Actions, guiding you through workflow syntax, exploring environments and secrets management, and providing hands-on exercises to solidify your understanding. You'll also discover how to craft a compelling GitHub profile that highlights your achievements and discover the exciting world of open-source projects where you can contribute and give back to the community. To get you started with AI, you'll also learn how to leverage Copilot and ChatGPT together to write faster, cleaner code.By the end of this book, you'll be well prepared to contribute to real-world projects on GitHub, equipped with the skills to thrive in the world of collaborative software development.What You Will Learn: - Travel back in code history and track different versions of your projects- Keep your code blocks neat and tidy within your repository, just like sorting puzzle pieces to create a masterpiece- Create branches to experiment with new ideas or features without messing up your main code- Use Git to share your suggestions and collaborate with other coders to make your code even more amazing- Automate and level up your coding game with GitHub Actions- Build your coder reputation by contributing to open source projectsWho this book is for: This book is for young, tech-curious individuals eager to find out more about the world of software development. If you are a student motivated to learn GitHub to better understand collaborative coding practices, manage projects effectively, and potentially pursue careers or hobbies in the technology field, then this book is for you.Table of Contents- Introduction to Version Control and GitHub- Mastering GitHub Essentials- GitHub Features for Collaborating on Projects- Branching in GitHub and Git- Collaborating on Code through Pull Requests- Resolving Merge Conflicts - on GitHub and Locally- Git History and Reverting Commits- Helpful Tools and Git Commands- Leveraging GitHub Actions for Automation- Enhancing GitHub Security Measures- Engaging with the Open Source Community- Crafting Your GitHub Profile- GitHub Copilot Aiding Code Creation
Analysing Wireless Networks with different IEEE 802.11 protocols
Wireless computer networks are changing the way people work or relate to each other, in other words, they are present in our lives and, it seems, increasingly so. This paper analyses wireless computer networks by comparing the performance of the IEEE 802.11 protocols currently on the market. To this end, a theoretical foundation was created, covering concepts from authors in the areas of computer networks and wireless networks. The method used for this study will be exploratory, where the information needed to analyse the data was collected through a bibliographical survey and a case study. It was concluded that protocols have evolved over the years, providing more capacity for wireless networks. It is believed that the results of this study can serve as a basis for domestic or organisational users when choosing to use a particular piece of wireless network equipment.
Distance training of teachers to use multimedia tools and technologies
The methodical manual consists of 5 sections, oriented to training teachers to the reasonable and effective use of multimedia tools and technologies in distance learning of teachers, students and graduate students. In the Law on Education of the Republic of Kazakhstan, 2007 it is noted that "taking into account the accumulated experience in the field of electronic and distance learning, the basic guidelines of the long-term program of education development up to 2020 in terms of informatization of education are defined. This program stipulates that by 2020 Kazakhstan's education system will function as part of a unified world information and education space. At the same time, the technologicalization of the educational process, its personalization with orientation on individual learning trajectory, openness and accessibility of education will be provided". Informatization of education on the basis of world achievements in the field of IT-technologies will be a means of innovative advanced development of Kazakhstani education.
Use of VisuAlg by students in introductory programming courses
Classifying a programming learning support tool as educational software involves analysing technical criteria from the ISO/IEC 9126 standard and pedagogical criteria from the Thomas Reeves model. Analysing the criteria must take into account external factors that interfere with the teaching-learning process, especially for students enrolled in introductory programming courses. In this book, we empirically assess whether these criteria are sufficient to elect VisuAlg as educational software.
Crime Management System (CMS)
The book "Crime Management System (CMS)" presents a comprehensive solution for managing criminal investigations. It emphasizes the importance of the CMS as a critical tool in recording first information reports (FIRs) and initiating the investigative process. The system meticulously records essential details such as the crime's date, time, location, and information about the offenders. This project outlines the development and implementation of a user-friendly interface that addresses the limitations of manual record-keeping by providing a secure, efficient, and automated method for storing and retrieving crime-related data. The proposed system significantly improves the existing manual methods by enhancing data security, reducing the workforce, and ensuring accurate and timely information processing. The CMS aims to streamline operations within crime management departments through detailed modules covering registration, case management, searching, and reporting, facilitating better decision-making and faster response times in criminal investigations.
Workflow Scheduling on Computing Systems
This book will serve as a guide in understanding workflow scheduling techniques on computing systems such as Cluster, Supercomputers, Grid computing, Cloud computing, Edge computing, Fog computing, and the practical realization of such methods.
Cybernetics and the Constructed Environment
Grounded in contemporary landscape architecture theory and practice, this book blends examples from art, design, and engineering with concepts from cybernetics and posthumanism, offering a transdisciplinary examination of the ramifications of cybernetics on the constructed environment.
Fuzzy Sets in Business Management, Finance, and Economics, 2nd Edition
Since the publication of Lotfi A. Zadeh's seminal paper "Fuzzy Sets" in 1965 within the journal Information and Control, there has been constant growth in the theoretical developments and practical applications of fuzzy set theory and related mathematical tools. These tools have been applied widely, both by industry and academic research, to decision-making and economics due to their versatility. On the one hand, they can efficiently represent and handle uncertain and vague information such as subjective judgements, non-precise observations on variables, or ill-defined relations between variables. On the other hand, they make implementing computations or identifying patterns in data much easier. To do so, fuzzy set theory provides a lot of mathematical techniques in fields such as fuzzy data analysis, fuzzy multiple criteria decision making, fuzzy set qualitative comparative analysis or fuzzy expert systems. Business management, decision-making, or the evaluation of public policies are some examples of practical applications in these fields. This Special Issue has provided a platform for researchers from academia and industry to present their novel works in the domain of applied developments of fuzzy sets and related methodologies for business, financial, and economic analysis. We hope that these results will help to foster future research in the fields of economics and social sciences.
Discrete Optimization
This Special Issue reprint from Mathematics presents, in addition to the Editorial, 18 research papers in the field of Discrete Optimization. The subjects addressed in this reprint cover a broad spectrum of subjects, e.g., graphs and networks, single- and two-machine scheduling, and goal programming.
ABCs of Cloud Computing
This Book titled "ABCs of Cloud Computing" is a handbook written for the purpose of introducing the new technology called Cloud Computing in the field of computing. Cloud computing is a kind of Internet-based service which provides configurable resources to users in a pay-as-you-go manner.With the rapid development of cloud computing technologies, a growing number of individuals and organizations are motivated to store and process their data on cloud computing platforms. In addition, many cloud service providers provide enormous computation resources at low prices, which attract users to outsource their heavy computation tasks.In this book, as a reader, you will learn about the need for cloud computing, cloud computing delivery and deployment models, Data Center and Virtualization technology and Cloud Economics.
Plant Leaf Disease Classification using Feature Extraction with SVM
The recognition of plants has become an active area as per the research many plants taxonomic group are at hazard of extermination. To preserve the endanger species new technique are been developed by the researchers. With the great advancement in the technology these days become the key factor for the identification the product and preserve that product with the help of mobile. The area of recognition of plants is trending nowadays because of the fact there are many more plant that need to be identify. More and more advancements are in progress to quickly and efficiently identify the plant. Today's world is all about speed and accuracy of the results. In this book, an efficient method of learning is used for the purpose of classification. In this thesis, we are using two approaches to identify the leaf and both approach consists of three phases such as pre-processing, extraction of classification and execution phase. And of them first approach is shape based and second approach is texture based. The pre-processing phase involves a representation of image processing steps such as grayscale transformation and limits improvement.
MicroStrategy - A Business Intelligence Tool
MicroStrategy is basically a Business Intelligence Tool wherein we can visualize data and create meaningful insights from raw data according to business requirements. Combination of all visualizations is called a dashboard. Creation of dashboards requires many steps to be implemented. The sequence of steps that are to be implemented are data importing from datasets. Datasets can be excel file, data in SQL server management studio etc, Data testing, Data wrangling or cleaning, Creation of different objects in Microstrategy like schema objects, application objects and configuration objects, Creating derived attributes and metrics created from existing attributes and metrics, Importing of final data or objects into Micro Strategy Workstation or MicroStrategy Developer/Web, Creation of visualizations by adding particular attributes or metrics required for creating visualization, Placing of visualizations into dashboards, Doing formatting for proper neat and clean dashboard visibility.
Data Mining for Beginers
This book provides a comprehensive introduction to data mining, covering fundamental concepts, essential techniques and practical applications across various domains. From exploring data preprocessing methods to diving into advanced algorithms like decision trees, neural networks and clustering, each chapter offers theoretical insights complemented by real-world examples and exercises. Whether you're a student or a professional, this book equips you with the tools to extract valuable insights from data, empowering you to make informed decisions and drive innovation in your field.
Ethical Machines
"Ethical Machines: Balancing Progress and Responsibility" delves into the transformative potential of artificial intelligence (AI) and the ethical challenges it presents. The book explores the rise of ethical machines and the frameworks necessary for responsible AI development, emphasizing principles such as fairness, transparency, accountability, and privacy. It addresses the real-world implications of AI, including job displacement, algorithmic bias, and privacy concerns, through detailed case studies and practical examples. The book highlights the importance of balancing efficiency with ethical considerations and calls for a collective effort from technologists, policymakers, and society to ensure AI technologies benefit all stakeholders. By fostering a culture of ethical innovation and promoting global standards, the book envisions a future where AI serves as a force for good, driving progress while upholding human values and social justice.
Conjuring with Computation
The team behind Computer Science for Fun (CS4FN), brings you Conjuring with Computation: A Manual of Magic and Computing for Beginners. Develop your skills as a magician while also learning the basics of computer science by exploring its links to magic. Each chapter explains how to do a simple magic trick, step-by-step, then uses the trick to introduce linked fundamental ideas in computer science in a fun way.By reading the book you will learn to do self-working tricks, be able to hold magic shows, create your own versions of tricks, and with creativity even invent your own. We cover: The book includes profiles of computer scientists, alongside magicians with links to technology, through history.Master conjuring and thinking computationally.
The Hack Is Back
The Hack is Back is tailored for both beginners and aspiring cybersecurity professionals to learn these techniques to evaluate and find risks on computer systems and networks. This book will benefit the offensive minded hacker (red-teamers) as well as those who focus on defense (blue-teamers).
The Making of a Doctor
Please see the contents for a brief resume of what the book is about It is left to the imagination of the reader to determine why and how this book is regarded as the Prequel to the earlier volumes of similar title, The Making of a Doctor, including the Sequel written by the same author.
Quality Management Systems
"Intellectual Property Rights" offers a comprehensive exploration of the fundamental concepts and intricacies of intellectual property (IP) law. This book delves into the various forms of IP, including patents, trademarks, copyrights, and trade secrets, providing a thorough understanding of their legal frameworks and practical applications.Through detailed case studies, the book examines notable IP disputes and their implications on innovation, business, and society. It also addresses contemporary issues such as digital piracy, global IP enforcement, and the balance between protecting creators' rights and promoting public access to knowledge. With insights from legal experts and industry professionals, "Intellectual Property Rights" serves as an essential guide for students, practitioners, and anyone interested in the dynamic field of intellectual property.
The Making of a Doctor
Please see the contents for a brief resume of what the book is about It is left to the imagination of the reader to determine why and how this book is regarded as the Prequel to the earlier volumes of similar title, The Making of a Doctor, including the Sequel written by the same author.
Concept of Operating System
An operating system (OS) serves as a crucial intermediary between computer hardware and users, facilitating efficient resource management and providing a platform for running applications. It orchestrates key functions like process management, memory allocation, file system handling, device control, security enforcement, and user interface provision. These functions ensure that hardware resources are utilized effectively, processes are scheduled fairly, data integrity is maintained, and interactions with peripherals are seamless. The evolution of operating systems has been marked by significant milestones, from early batch processing systems and time-sharing environments to the modern graphical user interfaces and mobile OSs. Each phase has seen advancements in managing complexity, improving user interaction, and enhancing system reliability. Today's OSs support diverse computing environments, from personal computers to cloud infrastructures, emphasizing security, efficiency, and scalability.
Definition of profiles and roles
This research presents definitions of possible guidelines for human resources in project management, demonstrating the possible profiles and roles within an Information Technology organisation. Organisations that aim to improve their processes by taking project management into account need to align tasks within these processes with a team that has the skills and profile for this activity. The main objective of this research was to present the results of defining roles by competences for employees to take on certain activities in projects, which contributes to people management by identifying the types of profiles that leaders need to have for each type of role. What's more, once you know what each employee's position and competencies are, it's even easier to remunerate these members of organisations. The methodology used is a case study that followed the definition of the roles and competences required for positions within software development projects. The research aimed to cover a little-researched area that is a very important role for people management within any organisation.
The Quantum Leap
The Quantum Leap: AI in the Next Century" explores the revolutionary potential of combining quantum computing and artificial intelligence. It covers the basics of both fields, showing how quantum properties like qubits can boost AI capabilities. The book discusses the current state of quantum computing, its future prospects, and the advancements in quantum machine learning and optimization.It highlights the ethical, societal, and regulatory challenges of quantum AI and underscores the importance of responsible innovation and global collaboration. Future applications in finance, healthcare, logistics, and energy are explored, emphasizing their transformative impact. The book concludes by stressing the need for education, strategic investments, and international cooperation to prepare for this technological leap and ensure its benefits are widely shared.
AI Odyssey
AI Odyssey: Navigating the Future of Intelligence" explores the transformative impact of artificial intelligence (AI) across industries, societies, and human interactions. Beginning with AI's historical evolution and foundational concepts, the book delves into its current applications in healthcare, education, finance, and beyond. It examines key technologies such as machine learning, natural language processing, and robotics, highlighting their roles in revolutionizing how we work, learn, and live.The book addresses ethical considerations and societal implications, discussing issues of bias, privacy, job displacement, and the need for robust governance frameworks. It emphasizes the importance of global collaboration in shaping AI's future, advocating for harmonized regulations, international standards, and ethical guidelines to ensure responsible AI development and deployment worldwide.
Potato Leaf Disease Classification
Potatoes are a well-known vegetable to all of us. Potato cultivation has been very popular in India form the last few decades. But potato production is being hampered due to diseases like early blight and late blight which are increasing the cost of production. The aim here is to build an automated and rapid disease detection process to increase potato production and digitize the system. Our main goal is to diagnose potato disease using leaf pictures that we are going to do through CNN algorithm. This paper offers a picture that is processing, and machine learning based automated systems potato leaf diseases will be detected and classified. Image processing is the best option for detecting and analysing these diseases. In this analysis, picture division is done; more than 2000 pictures of healthy and unhealthy potato's leaf, which are collected from Kaggle, and a few pre-prepared models are utilized for acknowledgment and characterization of healthy and diseased leaves.
Deep Fabric
"Deep Fabric: Weaving AI into the Fabric of Life" explores the transformative impact of Artificial Intelligence (AI) across key sectors of society. From healthcare to education, finance, and entertainment, the book delves into how AI enhances diagnostics, personalizes learning, revolutionizes trading, and creates immersive experiences. It emphasizes ethical and regulatory considerations essential for responsible AI deployment. By examining AI's integration into daily life, the book illuminates both the potential benefits and challenges of this rapidly advancing technology, offering insights into how society can navigate and leverage AI for a more equitable and innovative future.
Beyond Algorithms
Beyond Algorithms: The Human Touch in AI" explores the transformative potential of artificial intelligence (AI) through a human-centered lens. It delves into AI's current capabilities, ethical considerations, and collaborative opportunities across various sectors. The book emphasizes AI's role in augmenting human abilities, fostering creativity, and addressing societal challenges while advocating for transparency, inclusivity, and ethical AI practices. Ultimately, it envisions a future where AI enhances human potential and contributes positively to global well-being.
