Search results for ""Author Om Prakash""

The history of the economic contacts between Asia and Europe dates back to at least the early years of the Common Era. But it was only after the overcoming of the transport technology barrier to the growth of trade between the two continents following the discovery by the Portuguese at the end of the 15th century of the all-water route to the East Indies that these contacts became regular and quantitatively significant. The Portuguese were joined at the beginning of the 17th century by the Dutch and the English East India companies. The Europeans operated in the Indian Ocean alongside the Indian and other Asian merchants with no special privileges being available to them. The present collection of essays by Professor Om Prakash first deals with the Indian merchants’ participation in the Indian Ocean trade on the eve of the Europeans’ arrival in the Ocean. The subsequent essays include a discussion of the Portuguese involvement in the Euro-Asian and the Indian Ocean trade. Attention is then turned to the trading activities of the Dutch and the English East India companies. The volume also contains essays on textile manufacturing and trade as well as on coinage and wages in India. The concluding essay deals with trade and politics in the province of Bengal.

Read more less

Om Prakash reveals the central role played by Bengal in the Dutch East India Company's activities in India in the seventeenth and the early eighteenth century and the resulting integration of India into the world economy. Originally published in 1985. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Read more less

This book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). It also highlights hybridization process in the basic structure of BOA with in-depth analysis of complexity. This book also describes the constraint handling process. The newly introduced variant is implemented and validated on a set of linear and nonlinear real works problems of engineering and pulp and paper industry. The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm.

Read more less

The book features innovative scientific research by scientists, academicians and students, presented at the International Conference on Energy, Materials and Information Technology, 2017 at Amity University Jharkhand, India. Covering all the promising renewable energies and their related technologies, such as wind, solar and biomass energy, it compiles current important scientific research in this field and addresses how it can be applied in an interdisciplinary manner. The selected conference papers provide important data and parameters for utilizing the main potential renewable energies, and allowing an economic and environmental assessment.The book is a valuable resource for all those who are interested in the physical and technical principles of promising ways to utilize various renewable energies.

Read more less

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

Read more less

COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

Read more less

This book outlines comprehensive information on the global trends, policies, research priorities and frontier innovations made in the research domain of breeding, biotechnology, biofortification and quality enhancement of wheat and barley. With contributions by international group of leading wheat and barley researchers, this book offers data-based insights along with a holistic view of the subject and serve as a vital resource of information for scientists engaged in breeding future high-yielding biofortified varieties. It catalogs both conventional as well as modern tools for gene identification and genome editing interventions for enhancing the yield, grain quality, disease and pest resistance, nutrient-use efficiency and abiotic stress tolerance. The prospects of processing high quality wheat end-products with long term storage and high nutritional quality are also discussed. This book is of interest to teachers, researchers, molecular breeders, cereal biochemists and biotechnologist, policymakers and professionals working in the area of wheat and barley research, food and cereal industry. Also, the book serves as an additional reading material for the undergraduate and graduate students of agriculture and food sciences. National and international agricultural scientists, policy makers will also find this book to be a useful read. Volume 2 of New Horizons in Wheat and Barley Research covers topics in crop protection and resource management.

Read more less

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.

Read more less