The DoS attack recognition framework introduced in this book used standards of MCA and abnormality-based detection methodology. They outfit our identification framework with abilities of exact portrayal for traffic practices and recognition of known and obscure attackers individually. A triangle territory procedure is created to upgrade and to accelerate the procedure of MCA. A factual standardization procedure is utilized to wipe out the inclination from the crude information. Proposed DoS identification framework is assessed utilizing KDD Cup 99 dataset and beats the best in class frameworks appeared for this system.
Moving back to India was the last thing on Amol Dixit's mind when he was leading a carefree life in Chicago. Then one day, he found himself sleeping on the streets of Mumbai. Now, Returned to India is a Back-to-Rags story of a Non Resident Indian (NRI), and is a humorous account of the experiences of Amol Dixit, who relocates to India in haste. It all begins when he interviews for a job that he doesn't really need. He plans to spend one year with his family in India, following which he would move back to North America. In a series of missteps which affect his personal, social and work life, and cost him the woman he loves, Amol learns the hard way that living in India is no cakewalk. Inspite of these challenges, he decides to remain in India. Just when his life has hit rock bottom, GB enters his life. NRI: Now, Returned to India, is the first book in a four part fiction series that deals with the life of Amol Dixit and is the author's debut novel. It was shortlisted by DNA- Hachette in India for the "Hunt for the Next Bestseller" competition in 2014. Amar' spast writing exploits include blogging about his experiences in India at the Return to India Forum, which have received over 110,000 views.
They are Twirlymen. Having himself failed through a combination of injury and indolence to become a leg-spinner of renown, Amol Rajan pays homage to that most eccentric of all sporting heroes - the spin bowler.
The data structure is a set of specially organized data elements and functions, which are defined to store, retrieve, remove and search for individual data elements. Data Structures using C: A Practical Approach for Beginners covers all issues related to the amount of storage needed, the amount of time required to process the data, data representation of the primary memory and operations carried out with such data. Data Structures using C: A Practical Approach for Beginners book will help students learn data structure and algorithms in a focused way. Resolves linear and nonlinear data structures in C language using the algorithm, diagrammatically and its time and space complexity analysis Covers interview questions and MCQs on all topics of campus readiness Identifies possible solutions to each problem Includes real-life and computational applications of linear and nonlinear data structuresThis book is primarily aimed at undergraduates and graduates of computer science and information technology. Students of all engineering disciplines will also find this book useful.
The data structure is a set of specially organized data elements and functions, which are defined to store, retrieve, remove and search for individual data elements. Data Structures using C: A Practical Approach for Beginners covers all issues related to the amount of storage needed, the amount of time required to process the data, data representation of the primary memory and operations carried out with such data. Data Structures using C: A Practical Approach for Beginners book will help students learn data structure and algorithms in a focused way. Resolves linear and nonlinear data structures in C language using the algorithm, diagrammatically and its time and space complexity analysis Covers interview questions and MCQs on all topics of campus readiness Identifies possible solutions to each problem Includes real-life and computational applications of linear and nonlinear data structuresThis book is primarily aimed at undergraduates and graduates of computer science and information technology. Students of all engineering disciplines will also find this book useful.
New automated, application-independent methodology for designing and deploying sensor networks Following this book's clear explanations, examples, and illustrations, domain experts can design and deploy nontrivial networked sensing applications without much knowledge of the low-level networking aspects of deployment. This new approach is based on the Abstract Task Graph (ATaG), a data-driven programming model and an innovative methodology forarchitecture-independent programming and automatic software synthesis for sensor networks. ATaG programs are concise, understandable, and network-independent descriptions of global application functionality that can be automatically compiled onto any target deployment. The book begins with an overview chapter that addresses the important issues of programming methodologies and compares various programming models for sensor networks. Next, the authors set forth everything you need for designing and deploying sensor networks using ATaG, including: Detailed description of the ATaG model's features System-level support for architecture-independent programming Examination of the graphical programming and software synthesis environment for ATaG Case study illustrating the process of end-to-end application development and software synthesis using ATaG Throughout the book, the authors provide code excerpts and figures to help clarify key concepts and explain each step. For programmers, the graphical formalism of the ATaG program, coupled with the fact it uses an existing language (Java), means that no special training is needed to start developing and deploying applications in ATaG. Everything you need to know is clearly set forth in this book.
First course calculus texts have traditionally been either “engineering/science-oriented” with too little rigor, or have thrown students in the deep end with a rigorous analysis text. The How and Why of One Variable Calculus closes this gap in providing a rigorous treatment that takes an original and valuable approach between calculus and analysis. Logically organized and also very clear and user-friendly, it covers 6 main topics; real numbers, sequences, continuity, differentiation, integration, and series. It is primarily concerned with developing an understanding of the tools of calculus. The author presents numerous examples and exercises that illustrate how the techniques of calculus have universal application. The How and Why of One Variable Calculus presents an excellent text for a first course in calculus for students in the mathematical sciences, statistics and analytics, as well as a text for a bridge course between single and multi-variable calculus as well as between single variable calculus and upper level theory courses for math majors.
This directory is the first ever compilation of bibliographic data of research in English language education (ELE) from over 80 universities of India in the last 30 years. It covers particularly the theses and dissertations in ELE in Indian universities. The data consists of over a thousand entries, which can be searched in various ways - by keywords, levels of learners, geographical areas, universities or authors. In most cases, links are also provided to locate particular works in the libraries of respective universities. The book will be useful to those interested in studying the developments in English language education in India and those who wish to undertake research in ELE themselves.
Today, research on, and the manufacturing of, magnetic particles with sizes from a few nanometers up to micrometers have been introduced into many different applications including information carriers in biotechnology and medicine. Magnetic nanoparticles, for example, magnetite or maghemite (common iron oxides used in different biomedical applications and in data-storage systems) with diameters less than about 50 nm are single domains. Magnetic nanoparticles can be divided into particles that are super paramagnetic or thermally blocked. Super paramagnetic particles have magnetic relaxation times that are shorter than the typical time scale of the measurement. Thermally blocked particles have magnetic relaxation times that are longer than a typical time scale of measurement being used to study the particle system.
