Despite 58 years experimentation with the policy of protective discrimination and planned development a large majority of the 80.2 million tribal people languish in abject poverty, landlessness, powerlessness, illiteracy and malnutrition. Being caught in the hangover of the strong patriarchic tradition the women of nearly 700 marginalized tribal communities find themselves highly exploited, subjugated and voiceless. The present book, first of its kind on tribes living in northern districts of West Bengal (popularly known as North Bengal), explores the areas of subjugation of tribal life and particularly that of the tribal women and analytically presents the case of tribal women in a tea garden locale in the Dooars region of Jalpaiguri district. The focus of the study has been education, i.e. how the tribes in general and tribal women in particular are doing in the field of education. The field of education is chosen because it is generally considered the most important force of empowerment, enlightenment and social transformation and because it provides us with a field to explore the areas of gender discrimination subsumed in tribal patriarchy. The book has approached the problem of tribal education and the gender question in education against the backdrop of the dialectics of dominant-subordinate relationship between the state and the dominant society on the one hand and the marginalized tribes on the other. The uniqueness of the book lies in its critical approach to the state-sponsored development strategies and its emphasis on a ‘cultural approach’ for a better understanding of the problem and for working out alternative development strategies for improving the educational status of the tribal communities. Sanjay K. Roy, Reader, Department of Sociology, North Bengal University, West Bengal, had his Ph. D. from Delhi School of Economics, Delhi University, and pursued post-Doctoral research at the University of Sussex (UK) and University of Wollongong (Australia). Dr Roy has edited a volume on Refugees and Human Rights (2001) and contributed a good number of research papers to the leading journals, volumes and to national and international seminars/workshops. His areas of interest include sociological theories, urban poor, refugee studies, political sociology and gender studies. Dr Roy has completed a number of research projects; the latest being Gender Profile of Tribes of North Bengal, which has been carried out for the Centre for Women’s Studies, North Bengal University.
This book offers detailed insights into spin transfer torque (STT) based devices, circuits and memories. Starting with the basic concepts and device physics, it then addresses advanced STT applications and discusses the outlook for this cutting-edge technology. It also describes the architectures, performance parameters, fabrication, and the prospects of STT based devices. Further, moving from the device to the system perspective it presents a non-volatile computing architecture composed of STT based magneto-resistive and all-spin logic devices and demonstrates that efficient STT based magneto-resistive and all-spin logic devices can turn the dream of instant on/off non-volatile computing into reality.
This atlas is a comprehensive guide to interventional pain management procedures. Divided into 11 sections, the book begins with an overview of the subject, covering radiological anatomy, common image-guided procedures, radiation protection, MRI, protocols, and more. Each of the following sections covers procedures for pain management in different parts on the body, including head and neck, cervical spine, chest and thorax, lumbosacral spine; as well as neuromodulation, and peripheral and sympathetic blocks. The final chapters examine ultrasound guided block and ultrasound guided dry needling. Presented in bullet point style, each topic follows a step by step approach, explaining indications, contraindications, equipment, and procedural techniques. Edited by recognised experts from India, the UK and the US, and with contributions from leading international experts, this book is highly illustrated with radiological images and figures. Access to procedural videos via a QR code is also included with the atlas.
Given the widespread use of real-time multitasking systems, there are tremendous optimization opportunities if reconfigurable computing can be effectively incorporated while maintaining performance and other design constraints of typical applications. The focus of this book is to describe the dynamic reconfiguration techniques that can be safely used in real-time systems. This book provides comprehensive approaches by considering synergistic effects of computation, communication as well as storage together to significantly improve overall performance, power, energy and temperature.
Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts
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