Systems involving minimal contributions from person are more desired these days. This trend leads to introduction of automation in the processes. One such system is power system, Engineers have to design power system considering all the load and generation variations, all types of faults and outages possible that can damage power system and are harm to its reliability. All this work seemed tedious, but with the advent of time several great power system simulators were introduced that made all these analyses easy and fast. One is Power System Simulator for Engineers (PSS/E), which helps in system studies and gives responses quite real. But yet running different analyses for the purpose of routine check of large power systems can take many hours and it needs expertise in the software as well. So there is a need of much more simpler method to perform all these analysis. Luckily, PSS/E provides one such method. It involves developing some module/routine for every analysis through Python or Fortran.
Changing Patterns of Warfare between India and Pakistan analyzes how advanced nuclear technologies and the advent of disruptive technologies have affected the evolving conflict between India and Pakistan. Advanced nuclear technologies such as nuclear submarines, aircraft carriers, ballistic missile defence systems (BMDs), multiple independently targetable re-entry vehicles (MIRVs), anti-satellite weapons (ASAT); and disruptive technologies such as hypersonic weapons, artificial intelligence (AI), lethal autonomous weapons (LAWs), unmanned aerial vehicles (UAVs) / drones and space-based and cyber technologies have all complicated crisis dynamics and the domain of warfare in the region. Further, the employment of India’s compellence strategy is an indication of a change in its stance that demonstrates smart/surgical strikes are now more likely. The phenomenon of surgical strikes raises the question of how disruptive technologies will be used to gain direct/indirect military control and hence challenge the existing status quo and deterrence stability. Against this backdrop, the authors predict how this conflict may develop in the future and evaluate the ways to stabilize deterrence and regulate the militarization of artificial intelligence and disruptive technologies between India and Pakistan. This book will be of interest to all those researching and working in the fields of security studies, strategic studies, nuclear policy, deterrence thinking and proliferation/non-proliferation aspects of the nuclear weapons programme within South Asia and beyond. It will also be relevant for the academic community, policy-makers, diplomats, members of international non-governmental organizations (INGOs), professional research institutes and organizations working on India–Pakistan relations.
Processing Technology for Bio-Based Polymers: Advanced Strategies and Practical Aspects brings together the latest advances and novel technologies surrounding the synthesis and manufacture of biopolymers, ranging from bio-based polymers to synthetic polymers from bio-derived monomers. Sections examine bio-based polymer chemistry, discuss polymerization process and emerging design technologies, cover manufacturing and processing approaches, explain cutting-edge approaches and innovative applications, and focus on biomedicals and other key application areas. Final chapters provide detailed discussion and an analysis of economic and environmental concerns, practical considerations, challenges, opportunities and future trends. This is a valuable resource for researchers, scientists and advanced students in polymer science, bio-based materials, nanomaterials, plastics engineering, biomaterials, chemistry, biotechnology, and materials science and engineering, as well as R&D professionals, engineers and industrialists interested in the development of biopolymers for advanced products and applications. Focuses on the processing of bio-based polymers, covering both traditional methods and innovative new approaches Offers novel opportunities and ideas for developing or improving technologies for biopolymer research, preparation and application Examines other key considerations, including reliability and end product, economic concerns, and environmental and lifecycle aspects
The years 2021 to 2030 have been designated as "The United Nations Decade on Ecosystem Restoration". Ecological restoration and biodiversity conservation efforts face unprecedented challenges, especially in developing countries and areas, such as the Hindu Kush-Himalayan (HKH) region. This huge HKH region, which includes areas in eight separate countries (Afghanistan, Pakistan, Nepal, India, China, Bangladesh, Myanmar and Bhutan), is a biodiversity hotspot with a vast array of ecosystems, landscapes, peoples and cultures. It is known as one of 'the pulses of the world'. However, the HKH is also the world's largest and poorest mountain region, where landscapes and environments have been severely damaged as a result of climate change and human activities. Coordinating conservation and restoration policies, sharing knowledge and funds, and maintaining livelihoods are major challenges and are in urgent need of improvement. This book details the past and current ecological problems in the HKH region, and the threats and challenges that ecosystems and local people face. It pays special attention to developments of transformative adaptations and presents examples of sustainable conservation and ecological restoration management practices. This book is essential reading for ecologists and conservation biologists involved in large-scale ecological restoration projects, along with practitioners, graduate students, policy makers and international development workers.
This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks; a number of algorithms on multi-aspect anomaly detection in sensor networks; several algorithms on mobile agent transmission optimization in resource constrained sensor networks; an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodes; a detailed Petri Net-based formal modeling and analysis of the proposed system, and an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization. As such, it offers a comprehensive text for interested readers from academia and industry alike.
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada.
This innovative book analyses the growth of Deobandi Islam, a religious sect whose followers include extremist groups, through the frame of a counterculture in conflict with mainstream Muslim society. Due to its relationship with the Taliban, close links to al-Qaeda, and worldwide reach through the ‘Tablighi Jamaat’ (Proselytization Group), the Deoband Madrassah Movement has come to acquire global significance. In Pakistan, Deobandi schools have increasingly been associated with the rise of an intolerant and militant strain of Islam linked with terrorist activities.
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