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This book provides an in-depth insight into the Indian society and the varied social issues it is currently faced with. While serving as a foundation and ready-reference resource, the book covers all important topics such as the role of Women in Indian Society, Population, Poverty, Urbanization and related issues of Communalism and Social Empowerment. It aims to not only equip an aspirant with all the relevant information required for scoring high marks but also help the future policy-makers to have a better understanding of what Indian society needs.
An evolution is currently underway in the textile industry and Textile for Industrial Applications is the guidebook for its growth. This industry can be classified into three categories-clothing, home textile, and industrial textile. Industrial textiles, also known as technical textiles, are a part of the industry that is thriving and showing great
Microprocessors and Interfacing is a textbook for undergraduate engineering students who study a course on various microprocessors, its interfacing, programming and applications.
Unlike traditional embedded systems references, this book skips routine things to focus on programming microcontrollers, specifically MCS-51 family in āCā using Keil IDE. The book presents seventeen case studies plus many basic programs organized around on-chip resources. This "learn-through-doing" approach appeals to busy designers. Mastering basic modules and working hands-on with the projects gives readers the basic building blocks for most 8051 programs. Whether you are a student using MCS-51 microcontrollers for project work or an embedded systems programmer, this book will kick-start your practical understanding of the most popular microcontroller, bridging the gap between microcontroller hardware experts and C programmers.
Project management plays a vital role in planning, organizing and controlling various resources and factors for the successful completion of projects within a time frame. This comprehensive text presents the fundamental concepts and principles of project management and provides necessary skills to manage projects effectively. It is designed for postgraduate students of management, commerce, industrial engineering, production engineering and construction management. The book makes the readers familiar with the objectives of project management and explains project management life cycle, demand forecasting methods, and phases and steps of technology transfer. It discusses cost capital, estimati...
The most apt deciphering of Indus valley civilization script with the help of 43 bilingual-like inscriptions -from Dholavira to the bulls and chimera of Harappan seals. Old Tamil language is here proved beyond doubts to be the lingua franca of the Indus civilization people.
Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more traditional heavy industries, such as the railways, has been limited. Innovative Applications of Big Data in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry. Featuring extensive coverage on relevant areas such as driver support systems, railway safety management, and obstacle detection, this publication is an ideal resource for transportation planners, engineers, policymakers, and graduate-level engineering students seeking current research on a specific application of big data and its effects on transportation.
Fixtures are crucial to new manufacturing techniques and largely dictate the level of flexibility a manufacturing system can achieve. Advanced Fixture Design for FMS provides a systematic basis for the selection and design of fixturing systems. It gives a review of the current state of the art of flexible and reconfigurable fixturing systems. Recent developments in design methodology using CAD are analysed in depth. Fixture design is seen as an inseparable part of process planning. The primary objective of a fixture system is to ensure that the part being manufactured can be made consistently within the tolerance specified in the design. A new method of tolerance analysis is used to check the suitability of location surfaces and the sequence of operations and is explained in detail.
Examining processes that affect more than 70 percent of consumer products ranging from computers to medical devices and automobiles, this reference presents the latest research in automated plastic injection and die casting mold design and manufacture. It analyzes many industrial examples and methodologies while focusing on the algorithms, implementation procedures, and system architectures that will lead to a fully automated or semi-automated computer-aided injection mold design system (CADIMDS). This invaluable guide in this challenging area of precision engineering summarizes key findings and innovations from the authors' many years of research on intelligent mold design technologies.
Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems.