This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

This book examines the modules/elements required before implementing knowledge management solutions in typical manufacturing and service industry. The objective is to develop a framework, design and model suitable for all requirements and a strategy to properly implement. Related case studies from organizations are included, with the results provided to use as a solution to problems experienced when implementing knowledge management in the industry. Implementing a knowledge management system can be complex and dynamic, no matter how well planned and developed. Inevitably a degree of organizational inertia is focused on the current state rather than the new. Within an enterprise, personal and group involvement and interests process status and technology landscape can deflect the commitment needed to successfully implement such a system. Cumulative evidence from past research in knowledge management suggests that effective implementation of KM solution in any organization requires a robust designs and models for various critical elements of process, people and technology. Using the techniques provided in this book, readers should be able to design knowledge management strategies, to align objectives of the KM initiatives with their business goals.

This book examines the modules/elements required before implementing knowledge management solutions in typical manufacturing and service industry. The objective is to develop a framework, design and model suitable for all requirements and a strategy to properly implement. Related case studies from organizations are included, with the results provided to use as a solution to problems experienced when implementing knowledge management in the industry. Implementing a knowledge management system can be complex and dynamic, no matter how well planned and developed. Inevitably a degree of organizational inertia is focused on the current state rather than the new. Within an enterprise, personal and group involvement and interests process status and technology landscape can deflect the commitment needed to successfully implement such a system. Cumulative evidence from past research in knowledge management suggests that effective implementation of KM solution in any organization requires a robust designs and models for various critical elements of process, people and technology. Using the techniques provided in this book, readers should be able to design knowledge management strategies, to align objectives of the KM initiatives with their business goals.

Neural activity in the human brain generates coherent synaptic and intracellular currents in cortical columns that create electromagnetic signals which can be measured outside the head using magnetoencephalography (MEG) and electroencephalography (EEG). Electromagnetic brain imaging refers to techniques that reconstruct neural activity from MEG and EEG signals. Electromagnetic brain imaging is unique among functional imaging techniques for its ability to provide spatio-temporal brain activation profiles that reflect not only where the activity occurs in the brain but also when this activity occurs in relation to external and internal cognitive events, as well as to activity in other brain regions. Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance. The intended audience include graduate students and researchers interested in the methodological aspects of electromagnetic brain imaging.

Neural activity in the human brain generates coherent synaptic and intracellular currents in cortical columns that create electromagnetic signals which can be measured outside the head using magnetoencephalography (MEG) and electroencephalography (EEG). Electromagnetic brain imaging refers to techniques that reconstruct neural activity from MEG and EEG signals. Electromagnetic brain imaging is unique among functional imaging techniques for its ability to provide spatio-temporal brain activation profiles that reflect not only where the activity occurs in the brain but also when this activity occurs in relation to external and internal cognitive events, as well as to activity in other brain regions. Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance. The intended audience include graduate students and researchers interested in the methodological aspects of electromagnetic brain imaging.

This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful language Python. This book is designed for a first course on the subject. It is written for the undergraduate engineering students of Computer Science, Information Technology and allied disciplines. The book begins with an overview of the concept, need, nomenclature followed by discussion of Arrays, Stacks, Queues, Double Ended Queues, Linked List - all under a chapter on Linear Data Structures. This is followed by a chapter on Non-linear Data Structures where Heap, Hash Table, Trie, and Disjoint Sets are discussed. Trees, though a non-linear data structure, is discussed as a separate chapter to emphasize upon its importance. The last few chapters of the book discusses Graphs, Searching, and Sorting finally ending with an appendix on Python built-in class functions.

This book has been specifically designed to orient students for the technical interviews in Operating System concepts and help them undertake a thorough and objective preparation. The contents have been carefully handpicked from authors' experience and expertise developed by being either direct witness to the recruitment process, mentoring students in their colleges, myriad discussion with placement organizers in colleges, discussions on the topics in social media, blogs and dedicated websites. The book is focused for interview preparation in Operating System. The book includes the latest topics and questions discussed in top companies while continuing to maintain the emphasis on basic concepts along with problem-solving skills for students preparing for exams and for interviewees. Salient FeaturesAimed with a distinct purpose of assisting students and specialists getting ready for several Certification Exams and Job Interviews. Multiple-choice questions to strengthen weaknesses and also enhance strengths. Sharpen skills on Operating systems or preparing for aptitude tests, competitive examinations. Covers all the nuances of programming.

This book aims to answer a broad range of questions one may have about C. It focuses on objective type questions and provides extensive answers which will help those preparing for interviews, while mastering the concepts. This book also ensures that beginners do not have difficulty in getting used to the C concepts. The level of difficulty increases gradually, making the learning process a smoother one. The authors have made this publication more student-friendly by avoiding redundant words, materials, and dated models, while presenting detailed descriptions, providing fewer lists, and using bold print to call attention to important terms. This book specialises in assisting students and specialists getting ready for several Certification Exams and technical Interviews.

The book elaborates on the basics of procedure oriented programming and the fundamentals of writing C codes. The most noticeable feature of the book is the complete technical guide for IT interviews. It contains MCQs with 4 or 5 interesting options which prompts the candidate to think over a broad range of compilers. A brief and convincing answer for all the questions has been provided. It goes on to cover aspects like functions and loops, which will help novice programmers to code properly. Each topic is covered using tracing to explain how the particular coding construct and real-time programs work to help users understand how to implement theoretical concepts and obtain outputs to assure the validity of written programs. Elementary programming concepts like arrays, loops, assignment operators, functions, file processing, data structures, etc. have been discussed in the book. The structure of the book is organized in such a way that even a new candidate can easily follow the progress of concepts and master the language at a comparatively faster rate. This book will act as a placement assistant for new IT candidates in the technical round (C language).

Shakespeare's King Lear is often called his mightiest play. This comprehensive edition by S. Nagarajan (who edited the evergreen Signet edition of Measure for Measure) presents a lifetime of scholarship on Shakespeare and fifteen years of research specifically on Lear. Accessibly written, this edition serves the reader who has access to well-stocked libraries and lively theatres, as well as the student whose resources are more limited. The play-text is a conflation of the Quarto text and the First Folio text, and the notes provide a generous but discreet selection of alternative readings of lines and contexts. In ten erudite essays, Nagarajan provides a thoroughly researched picture of Shakespeare's sources for the play, his unique use of language, Elizabethan theatre, history and values of the play, analysis of enigmatic scenes, glimpses into its performance history and other subjects, with special attention to Indian dramatic art theory. This edition is the first to bring together both the best scholarship on Lear to date and perspectives from Indian poetics and philosophy. The result is a text that robustly includes, but goes beyond, Anglophone cultures and Euro-American experiences, making it truly representative of Lear's global stage.