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Guide to Global Best Practice and Standards in KM

Milton, Nick,

A useful toolkit in the implementation of the ISO's new standard in Knowledge Management. The International Standards Organization (ISO) recently published it's first standard on knowledge management. This book looks at global examples of best practice in KM, and discusses how the Standard is helping embed these principles into successful organizations.

Date Published:

Microeconomics

Samuelson, Paul A. (Paul Anthony), 1915-2009.

Contents: PART ONE BASIC CONCEPTS Chapter 1 The Central Concepts of Economics Chapter 2 The Modern Mixed Economy Chapter 3 Basic Elements of Supply and Demand PART TWO MICROECONOMICS: SUPPLY, DEMAND, AND PRODUCT MARKETS Chapter 4 Supply and Demand: Elasticity and Applications Chapter 5 Demand and Consumer Behavior Chapter 6 Production and Business Organization Chapter 7 Analysis of Costs Chapter 8 Analysis of Perfectly Competitive Markets Chapter 9 Imperfect Competition and Monopoly Chapter 10 Competition Among the Few Chapter 11 Economics of Uncertainty PART THREE FACTOR MARKETS: LABOR, LAND, AND CAPITAL Chapter 12 How Markets Determine Incomes Chapter 13 The Labor Market Chapter 14 Land, Natural Resources, and the Environment Chapter 15 Capital, Interest, and Profits PART FOUR APPLICATIONS OF ECONOMIC PRINCIPLES Chapter 16 Government Taxation and Expenditure Chapter 17 Efficiency vs. Equality: The Big Tradeoff Chapter 18 International Trade. The book continues to be the standard-bearer for principles courses, and this revision continues to be a clear, accurate, and interesting introduction to modern economics principles. Bill Nordhaus is now the primary author of this text, and he has revised the book to be as current and relevant as ever.

Date Published:2010

Salesforce Anti-Patterns : Build resilient Salesforce solutions using expert advice to create robust and efficient programs

Malmqvist, Lars,

Includes index. While Salesforce is a powerful platform, it is prone to common pitfalls that can result in suboptimal performance, increased costs, and reduced user satisfaction. Known as anti-patterns, these problems can arise from design flaws, poor implementation choices, or a lack of understanding of best practices. Written by a seasoned Salesforce professional and 33-time certified Salesforce Certified Technical Architect, this revised edition will teach you how to identify and avoid common issues, optimize your Salesforce architecture, and ensure successful implementation. This second edition is updated with a comprehensive exploration of Salesforce, along with the addition of the most common Salesforce anti-patterns, providing in-depth analysis and practical solutions. These key learnings will further refine your skills to help you build more robust, scalable, and efficient Salesforce architectures. The chapters offer an expanded coverage of emerging technology trends such as AI and DevOps, updated examples, and additional case studies to ensure that you have the latest information and insights. By the end of this book, youâll have gained the confidence and expertise needed to design and implement effective Salesforce solutions.

Date Published:2025

VMware Cloud on AWS Blueprint : Design, automate, and migrate VMware workloads on AWS global infrastructure

Ulyanov, Oleg,

VMware cloud on AWS blueprint: design, automate, and migrate VMware workloads on AWS global infrastructure -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1:VMware Cloud on AWS Foundations and VMware HCX as a Migration Tool -- Chapter 1: Foundation of VMware Cloud on AWS -- Chapter 2: Exploring Networking, Security, and AWS Integrations -- Chapter 3: Exploring VMware Cloud on AWS-Integrated Services -- Part 2: Configuration, Maintenance, and Troubleshooting on VMware Cloud on AWS -- Chapter 4: Getting Started with VMware Cloud on AWS SDDC -- Chapter 5: Configuring vCenter, vSAN, and VMware Cloud Console -- Chapter 6: Understanding Networking and Security Configurations -- Chapter 7: Exploring Integrated Services Configuration -- Chapter 8: Building Applications and Managing Operations -- Chapter 9: Infrastructure as Code with VMware Cloud -- Chapter 10: VMware Cloud on AWS Outposts -- Part 3: Leveraging Design Considerations and Best Practices -- Chapter 11: Knowing the Best Practices, FAQs, and Common Pitfalls -- Chapter 12: Appendix: Preflight before Onboarding -- Index -- Other Books You May Enjoy. Explore use cases and best practices to seamlessly migrate and scale legacy enterprise-grade applications running on on-premises vSphere environments to VMware Cloud SDDCs running on AWS infrastructure Key Features Understand data center extension, migration, disaster recovery, and app modernization through a variety of use cases Become an expert at configuring, automating, and troubleshooting VMC on AWS SDDC Implement design considerations, best practices, and onboarding preflight checklist for optimal performance on VMC on AWS Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're looking to effortlessly transition from on-premises VMware vSphere environments or capital expenditure (CAPEX) to an agile operational expenditure (OPEX) model, trust the VMware Cloud (VMC) on AWS platform for swift re-platforming of legacy applications into cloud-native framework. This comprehensive guide addresses hybrid cloud challenges, offering detailed solutions within the VMware Cloud on AWS ecosystem. Covering the foundational architecture, software-defined data center (SDDC) components of VMware Cloud on AWS, network and security configurations, and AWS service integrations, this book lays the foundation for you to advance to vCenter management, vSAN storage policies, NSX architecture, compute policies, SDDC console management, and the EDRS mechanism for cluster scaling. You'll also explore integrated services such as VMware HCX for migration, VMware Aria suite, Tanzu Managed Kubernetes, and disaster recovery. Further, the book takes you through VMware Cloud APIs and guides you in managing workloads with VMware Cloud on AWS Outposts. With the help of practical insights, configuration tips, and best practices, you'll unlock the full potential of VMC on AWS. By the end of this book, you'll be equipped to successfully architect and manage VMware Cloud on AWS SDDCs, handling day-to-day operations expertly. What you will learn Examine the foundational architecture components of VMware Cloud on AWS, including vSphere, vSAN, and NSX Explore the various integrated services available within VMware Cloud on AWS Delve into VMware Cloud on AWS SDDC, vCenter, and vSAN optimizations Build applications and apply best practices within the VMware Cloud on AWS to manage day-to-day operations Streamline infrastructure management for VMware Cloud on AWS with Infrastructure as Code (IaC) Extend cloud capabilities to on-premises environments using VMware Cloud on AWS Outposts Who this book is for The book is intended for cloud and solutions architects, DevOps engineers, site reliability engineers (SREs), system and network admins, and cloud engineers with experience in on-premises VMware or AWS administration, facilitating the seamless integration of VMware cloud technologies. Prior understanding of cloud computing, virtualization principles, VMware vSphere administration, vSAN, and NSX along with AWS cloud basics will be helpful.

Date Published:2024

Unlocking the Power of Auto-GPT and Its Plugins : Implement, customize, and optimize Auto-GPT for building robust AI applications

Cugunov, Wladislav,

Harness the revolutionary power of Auto-GPT and its plugins to transform your projects with advanced AI capabilities Key Features Discover the untapped power of Auto-GPT, opening doors to limitless AI possibilities Craft your own AI applications, from chat assistants to speech companions, with step-by-step guidance Explore advanced AI topics like Docker configuration and LLM integration for cutting-edge AI development Purchase of the print or Kindle book includes a free PDF eBook Book Description Unlocking the Power of Auto-GPT and Its Plugins reveals how Auto-GPT is transforming the way we work and live, by breaking down complex goals into manageable subtasks and intelligently utilizing the internet and other tools. With a background as a self-taught full stack developer and key contributor to Auto-GPT's Inner Team, the author blends unconventional thinking with practical expertise to make Auto-GPT and its plugins accessible to developers at all levels. This book explores the potential of Auto-GPT and its associated plugins through practical applications. Beginning with an introduction to Auto-GPT, it guides you through setup, utilization, and the art of prompt generation. You'll gain a deep understanding of the various plugin types and how to create them. The book also offers expert guidance on developing AI applications such as chat assistants, research aides, and speech companions, while covering advanced topics such as Docker configuration, continuous mode operation, and integrating your own LLM with Auto-GPT. By the end of this book, you'll be equipped with the knowledge and skills needed for AI application development, plugin creation, setup procedures, and advanced Auto-GPT features to fuel your AI journey. What you will learn Develop a solid understanding of Auto-GPT's fundamental principles Hone your skills in creating engaging and effective prompts Effectively harness the potential of Auto-GPT's versatile plugins Tailor and personalize AI applications to meet specific requirements Proficiently manage Docker configurations for advanced setup Ensure the safe and efficient use of continuous mode Integrate your own LLM with Auto-GPT for enhanced performance Who this book is for This book is for developers, data scientists, and AI enthusiasts interested in leveraging the power of Auto-GPT and its plugins to create powerful AI applications. Basic programming knowledge and an understanding of artificial intelligence concepts are required to make the most of this book. Familiarity with the terminal will also be helpful.

Date Published:2024

Managerial economics and business strategy

Baye, Michael R., 1958-

Baye and Prince's bestselling Managerial Economics and Business Strategy provides a complete solution designed to help students use tools from intermediate microeconomics, game theory, and industrial organization to make sound managerial decisions. Now fully integrated within McGraw-Hill's Connect platform, the 8th edition provides instructors with new ways to assess student performance in the managerial economics course. Students benefit from LearnSmart's adaptive learning modules, designed reinforce core concepts in each chapter. A range of print and digital formats combined with frontier research, inclusion of modern topics, and balanced coverage of traditional and modern microeconomics produce a new offering that is easier to teach from and more dynamic and engaging for students. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.

Date Published:2014

Enhanced U-net segmentation using attention-guided ensemble technique

Ahmad, Hassan,

Abstract Pulmonary embolism (PE) is a severe clinical condition that may lead to life-threatening consequences if patients timcly and accurate diagnosis is not achieved. This research work introduces a novel framework for the PE segmentation from CTA images to include deep learning technologies for classification as well as segmentation. For slice classification, the framework uses an Attention-Guided Convolutional Neural Network (AG-CNN) the if which has a sensitivity of 94.8% and specificity of 92.3% using Inception-V3 as a backbone. An ensemble of Eficient Det, YOLOv8, and Faster R-CNN is trained for the detection of emboli: mAP = 89.6%; WBF improves localization. The segimentation tasks are perfornmed using AG-CNN with a U-Net model, for which the Dice Similarity Coefficient (DSC) is 93.2% and Intersection over Union (IoU) score is 73.7%, allowing better demarcation of the emboli. The framework works computationally, and it takes less than 0.3 second to complete a single image on a working on a system with meager computing power. Incorporating powerful classification, detection, and segmentation methods, this work helps alleviate difficulties comparable to lesion variation, mathematical differences in features, and peripheral emboli visualization.

Date Published:2024

Management

Stoner, James Arthur Finch, 1935-

Map of world on endpapers. This edition continues its strong research orientation and solid theoretical underpinnings. The general theme of the 6/E is dynamic engagement--a broad term that captures the essence of change confronting future managers, and current thinking on what they'll need to succeed. The material presented revolves around the following themes: ethics, globalization, entrepreneurship and small businesses, cultural diversity, and quality.

Date Published:2004

A data-driven approach for automated quality concern extraction from App reviews

Hussain, Maryam,

Abstract The overwhelming growth in mobile applications has resulted in a huge influx in the number of user-generated reviews in the application stores such as Google Play Store. The reviews provide a good feedback on the software quality attributes such as usability, performance, security, and reliability. Nevertheless, they are unstructured, informal and usually ambiguous, which presents significant difficulties in the manual analysis. The availability of traditional machine learning (ML) and deep learning (DL) methods has helped in the automation of this step, but they usually use handcrafted features and do not understand the situation in a deep perspective, which limits their usefulness in multi-label classification tasks. This study offers a powerful and scalable model that uses Transformer-based models to automatically extract quality concerns in the reviews of mobile apps. The method is based on the self-attention mechanisms and contextual embeddings, which helps to increase semantic understanding and minimize the reliance on the handcrafted feature engineering. The extracted concerns are grouped based on the ISO 25010 standard that facilitates systematic and understandable quality evaluation. Other issues the study addresses include class imbalance, implicit concern recognition, and cross-domain generalization. To evaluate the performance, a dataset of 20,000 real-world app reviews is employed, and performance is measured using the concepts of precision, recall, F1-score and comparative evaluation with ML/DL baselines. It is expected to result in a multi-label classification and recommendation service which further enhances the automation and precision of software quality analysis, and provides developers and quality assurance teams with actionable advice Keywords: Mobile App Reviews, Software Quality Concern Extraction, Transformer-based Models, Multi-label Classification, ISO 25010 Quality Attributes, Automated Quality Assessment.

Date Published:2025

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems

Geron, Aurelien

2nd edition updated for TensorFlow 2"--Page 1 of cover. Includes index. Part 1. The fundamentals of Machine Learning 1. The Machine Learning Landscape 2. End-to-End Machine Learning Project 3. Classification 4. Training Models 5. Support Vector Machines 6. Decision Trees 7. Ensemble Learning and Random Forests 8. Dimensionality Reduction 9. Unsupervised Learning Techniques. Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets.

Date Published:2019

Hindūmat, Budhmat aur Islām

Dīdāt, Shaykh Aḥmad,

“Hinduism, Buddhism, and Islam” is an enlightening book by Sheikh Ahmed Deedat that delves into the philosophical and spiritual aspects of these three major religions. With his profound knowledge and compelling insights, Sheikh Ahmed Deedat explores the fundamental beliefs, practices, and historical developments of Hinduism, Buddhism, and Islam. Through a comparative approach, he highlights the similarities and differences among these traditions, providing readers with a deeper understanding of their core teachings and principles. “Hinduism, Buddhism, and Islam” is a valuable resource for individuals interested in interfaith dialogue, religious studies, and seeking to enhance their knowledge of these diverse spiritual paths. Sheikh Ahmed Deedat’s thoughtful exploration encourages a spirit of inclusivity and fosters a meaningful engagement with these important religious traditions.

Date Published:

Academic Success

I. Part A: Successful Beginnings -- Beginnings -- Adjusting to University -- Successful Connections -- II. Part B: Successful Foundations -- English Language Foundations -- Working with Information -- III. Part C: Successful Study Skills -- Goals and Priorities -- Combatting Procrastination -- Time Management -- Study Space -- Reading -- Notetaking -- Thinking -- IV. Part D: Successful Assessment -- Managing Assessment -- Writing Assignments -- Types of Assignments -- Presentations -- Preparing for Exams -- Types of Exams. Academic Success is designed to help students on their university journey. It is divided into four parts, each reflecting different aspects of a studentâ€™s tertiary experience. Part A: Successful Beginnings addresses what it is like to be a new student at an Australian university. Part B: Successful Foundations introduces basic skills in English language, techniques for accessing and working with information, and understanding academic integrity. Part C: Successful Study Skills presents the everyday, core skills that successful students use while at university. Lastly, Part D: Successful Assessment meets head-on the challenges of tertiary assessments. This open book ultimately aids students across all disciplines in achieving academic success at university.

Date Published:2021

Management

Samson, Danny

Introduction to management. The enviroment of management. Planning Organising. Leading. Controlling. Includes Index. The sixth edition of this market leading text continues to raise the standard through its cutting-edge presentation of managerial thought, carefully developed applications, and innovative technology components. Richard Daft seamlessly integrates the new workplace with traditional management concepts to show what influences and guides managerial action in today's organizations. To illustrate the conceptual material and engage the student, Daft includes diverse examples, exercises, applications in every chapter. Through each edition, Management has continued to build an outstanding reputation with instructors for its quality, topic selection, applications, and authorship.

Date Published:2003

Management

Includes index. This best-selling text demonstrates the real-world applications of management concepts and makes management come alive by bringing real managers and students together. As it successfully integrates the various functions of management, the book establishes a dialogue with managers from a variety of fields.

Date Published:2005

Data structures & algorithm analysis in C+

Weiss, Mark Allen

In this second edition of his successful book, experienced teacher and author Mark Allen Weiss continues to refine and enhance his innovative approach to algorithms and data structures. Written for the advanced data structures course, this text highlights theoretical topics like abstract data types and the efficiency of algorithms, as well as performance and running time. This edition also includes a new chapter on advanced data structures and material on the Standard Template Library that conforms to the new standard. In addition, all code has been updated and tested on multiple platforms and conforms to the ANSI ISO Final Draft standard. Before covering algorithms and data structures, the author provides a brief introduction to C++ for programmers unfamiliar with the language. All of the source code will be available over the Internet. Dr. Weiss also distinguishes the book with his clear, friendly writing style, logical organization of topics, and extensive use of figures and examples that show the successive stages of an algorithm. Features and Benefits All code has been updated and tested on multiple platforms and conforms to the ANSI standard. Provides chapter on advanced structures and their implementation covering red black trees, top down splay trees, treaps, k-d trees, pairing heaps, and more. Includes a chapter on algorithm and design techniques that covers greedy algorithms, divide and conquer algorithms, dynamic programming, randomized algorithms, and backtracking.

Date Published:1999

Java : how to program

Deitel, Paul J.

Accompanied by a 4 3/4 inches computer disc. Includes index. Introduction to computers, the Internet and the Web -- Introduction to Java applications -- Introduction to classes and objects -- Control statements: part 1 -- Control statements: part 2 -- Methods: a deeper look -- Arrays -- Classes and objects: a deeper look -- Object-oriented programming: inheritance -- Object-oriented programming: polymorphism -- GUI components: part 1 -- Graphics and Java 2D -- Exception handling -- Files and streams -- Recursion -- Searching and sorting -- Data structures -- Generics -- Collections -- Introduction to Java applets -- Multimedia: applets and applications -- GUI components: part 2 -- Multithreading -- Networking -- Accessing databases with JDBC -- Web applications: part 1 -- Web applications: part 2 -- JAX-WS Web services -- Formatted output -- Strings, characters and regular expressions -- A. Operator precedence chart -- B. ASCII character set -- C. Keywords and reserved words -- D. Primitive types -- E. Number systems -- F. GroupLayout -- G. Java desktop integration components (JDIC) -- H. Mashups -- Web bonus appendices -- I. Unicode -- J. Using the Java API documentation -- K. Creating documentation with javadoc -- L. Bit manipulation -- M. ATM case study code -- N. Labeled break and continue statements -- O. UML 2: additional diagram types -- P. Design patterns -- Q. Using the debugger. The Deitels' groundbreaking How to Program series offers unparalleled breadth and depth of object-oriented programming concepts and intermediate-level topics for further study. This survey of Java programming contains an extensive OOD/UML 2 case study on developing an automated teller machine. The Seventh Edition has been extensively fine-tuned and is completely up-to-date with Sun Microsystems, Inc.'s latest Java release-Java Standard Edition (Java SE).

Date Published:2007

Data structures, algorithms, and object-oriented programming

Heileman, Gregory L.

Designed for an undergraduate course, this text uses C++ and the object-oriented programming paradigm to teach data structures. Students are able to see concrete examples of object-oriented programming in use, along with listings of working code. The text contains advanced topic sections including complexity analysis and graph algorithms. .

Date Published:1996

Manufacturing planning and control for supply chain management

Achieving dramatic improvements in productivity, customer satisfaction and profitability result from applying the latest advances in planning and control systems. In this revised edition, state-of-the-art concepts and proven techniques are combined to offer practical solutions for enhancing the manufacturing process. Updated to reflect the newest ideas and practices, this comprehensive text details recent advances for producing goods and services more efficiently. Dozens of examples illustrate the key concepts for implementing profitable planning, scheduling, production and distribution strategies, including: Intergrating marketing and historical forecast information; Just-in-Time manufacturing; Capacity management in process industries; Customer order promising.

Date Published:2005

Management accounting for business decisions

Drury, Colin

Previous ed.: 1997. Management Accounting for Business Decisions provides a thorough introduction to the theory and practice of Management Accounting. Accessible and student friendly, the text excludes the technical and more advanced content that is required by specialist accounting students but offers the general business student on an undergraduate, postgraduate or post-experience course a firm foundation in Management Accounting. Management Accounting for Business Decisions is the ideal introductory text for all non-accounting students studying management accounting on a modular one or two-semester undergraduate degree course, or as part of an MBA course.

Date Published:2001

Fundamental algorithms

Knuth, Donald Ervin, 1938-

This first volume in the series begins with basic programming concepts and techniques, then focuses more particularly on information structures—the representation of information inside a computer, the structural relationships between data elements and how to deal with them efficiently. Elementary applications are given to simulation, numerical methods, symbolic computing, software and system design. Dozens of simple and important algorithms and techniques have been added to those of the previous edition. The section on mathematical preliminaries has been extensively revised to match present trends in research.

Date Published:1997