Donald Trump’s election to the U.S. presidency in 2016, which placed control of the government in the hands of the most racially homogenous, far-right political party in the Western world, produced shock and disbelief for liberals, progressives, and leftists globally. Yet most of the immediate analysis neglects longer-term accounting of how the United States arrived here. Race and America’s Long War examines the relationship between war, politics, police power, and the changing contours of race and racism in the contemporary United States. Nikhil Pal Singh argues that the United States’ pursuit of war since the September 11 terrorist attacks has reanimated a longer history of imperial statecraft that segregated and eliminated enemies both within and overseas. America’s territorial expansion and Indian removals, settler in-migration and nativist restriction, and African slavery and its afterlives were formative social and political processes that drove the rise of the United States as a capitalist world power long before the onset of globalization. Spanning the course of U.S. history, these crucial essays show how the return of racism and war as seemingly permanent features of American public and political life is at the heart of our present crisis and collective disorientation.
Sonali, a gleeful and cheerful medical graduate is on her trip to Goa with some friends when she discovers a camera; a camera that redefines her life and reshapes her journey. The camera revamps her journey in pursuit of someone that the pictures talk of. The tale of a journey is an account of Sonalis expedition to the one the camera beholds and intrigues her about. The book is a narrative of the girls exploration of Jai Singh Koranga and the stories that pass by on the borrowed bike. What is it in the camera that intrigues Sonali? Who is Jai Singh Koranga? Is her journey a quest in itself? Is it a quest to know about Jai or a quest to discover her own self?
Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key FeaturesUnderstand OpenCV and select the right algorithm to solve real-world problemsDiscover techniques for image and video processingLearn how to apply face recognition in videos to automatically extract key informationBook Description Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems. What you will learnAccess and manipulate pixels in OpenCV using BGR and grayscale imagesCreate histograms to better understand image contentUse contours for shape analysis, object detection, and recognitionTrack objects in videos using a variety of trackers available in OpenCVDiscover how to apply face recognition tasks using computer vision techniquesVisualize 3D objects in point clouds and polygon meshes using Open3DWho this book is for If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
Despite black gains in modern America, the end of racism is not yet in sight. Nikhil Pal Singh asks what happened to the worldly and radical visions of equality that animated black intellectual activists from W. E. B. Du Bois in the 1930s to Martin Luther King, Jr. in the 1960s. In so doing, he constructs an alternative history of civil rights in the twentieth century, a long civil rights era, in which radical hopes and global dreams are recognized as central to the history of black struggle. It is through the words and thought of key black intellectuals, like Du Bois, Ralph Bunche, C. L. R. James, Richard Wright, Ralph Ellison, Langston Hughes, and others, as well as movement activists like Malcolm X and Black Panthers, that vital new ideas emerged and circulated. Their most important achievement was to create and sustain a vibrant, black public sphere broadly critical of U.S. social, political, and civic inequality. Finding racism hidden within the universalizing tones of reform-minded liberalism at home and global democratic imperatives abroad, race radicals alienated many who saw them as dangerous and separatist. Few wanted to hear their message then, or even now, and yet, as Singh argues, their passionate skepticism about the limits of U.S. democracy remains as indispensable to a meaningful reconstruction of racial equality and universal political ideals today as it ever was.
Master Computer Vision concepts using Deep Learning with easy-to-follow steps Key Featuresa- Setting up the Python and TensorFlow environmenta- Learn core Tensorflow concepts with the latest TF version 2.0a- Learn Deep Learning for computer vision applications a- Understand different computer vision concepts and use-casesa- Understand different state-of-the-art CNN architectures a- Build deep neural networks with transfer Learning using features from pre-trained CNN modelsa- Apply computer vision concepts with easy-to-follow code in Jupyter NotebookDescriptionThis book starts with setting up a Python virtual environment with the deep learning framework TensorFlow and then introduces the fundamental concepts of TensorFlow. Before moving on to Computer Vision, you will learn about neural networks and related aspects such as loss functions, gradient descent optimization, activation functions and how backpropagation works for training multi-layer perceptrons.To understand how the Convolutional Neural Network (CNN) is used for computer vision problems, you need to learn about the basic convolution operation. You will learn how CNN is different from a multi-layer perceptron along with a thorough discussion on the different building blocks of the CNN architecture such as kernel size, stride, padding, and pooling and finally learn how to build a small CNN model. Next, you will learn about different popular CNN architectures such as AlexNet, VGGNet, Inception, and ResNets along with different object detection algorithms such as RCNN, SSD, and YOLO. The book concludes with a chapter on sequential models where you will learn about RNN, GRU, and LSTMs and their architectures and understand their applications in machine translation, image/video captioning and video classification.What will you learnThis book will help the readers to understand and apply the latest Deep Learning technologies to different interesting computer vision applications without any prior domain knowledge of image processing. Thus, helping the users to acquire new skills specific to Computer Vision and Deep Learning and build solutions to real-life problems such as Image Classification and Object Detection. Who this book is forThis book is for all the Data Science enthusiasts and practitioners who intend to learn and master Computer Vision concepts and their applications using Deep Learning. This book assumes a basic Python understanding with hands-on experience. A basic senior secondary level understanding of Mathematics will help the reader to make the best out of this book. Table of Contents1. Introduction to TensorFlow2. Introduction to Neural Networks 3. Convolutional Neural Network 4. CNN Architectures5. Sequential ModelsAbout the AuthorNikhil Singh is an accomplished data scientist and currently working as the Lead Data Scientist at Proarch IT Solutions Pvt. Ltd in London. He has experience in designing and delivering complex and innovative computer vision and NLP centred solutions for a large number of global companies. He has been an AI consultant to a few companies and mentored many apprentice Data Scientists. His LinkedIn Profile: https://www.linkedin.com/in/nikhil-singh-b953ba122/Paras Ahuja is a seasoned data science practitioner and currently working as the Lead Data Scientist at Reliance Jio in Hyderabad. He has good experience in designing and deploying deep learning-based Computer Vision and NLP-based solutions. He has experience in developing and implementing state-of-the-art automatic speech recognition systems.His LinkedIn Profile: https://www.linkedin.com/in/parasahuja
He is the Cyber-Age Krishna, Destroyer of the Evil Kansa A runaway kid from the most powerful family in Hyderabad, Kanu is a twenty-two-year-old hacker. His mission in life is to destroy his uncle, Rana, and take control over Sathyamev Computers, a billion-dollar company originally started by his father.Together with the beautiful Darshu, a journalist crusading against corruption, Kanu sets out to expose a mega financial scam at Sathyamev. His only weapon: ingenious computing skills.
Master Computer Vision concepts using Deep Learning with easy-to-follow steps DESCRIPTIONÊ This book starts with setting up a Python virtual environment with the deep learning framework TensorFlow and then introduces the fundamental concepts of TensorFlow. Before moving on to Computer Vision, you will learn about neural networks and related aspects such as loss functions, gradient descent optimization, activation functions and how backpropagation works for training multi-layer perceptrons. To understand how the Convolutional Neural Network (CNN) is used for computer vision problems, you need to learn about the basic convolution operation. You will learn how CNN is different from a multi-layer perceptron along with a thorough discussion on the different building blocks of the CNN architecture such as kernel size, stride, padding, and pooling and finally learn how to build a small CNN model.Ê Next, you will learn about different popular CNN architectures such as AlexNet, VGGNet, Inception, and ResNets along with different object detection algorithms such as RCNN, SSD, and YOLO. The book concludes with a chapter on sequential models where you will learn about RNN, GRU, and LSTMs and their architectures and understand their applications in machine translation, image/video captioning and video classification. KEY FEATURESÊ Setting up the Python and TensorFlow environment Learn core Tensorflow concepts with the latest TF version 2.0 Learn Deep Learning for computer vision applicationsÊ Understand different computer vision concepts and use-cases Understand different state-of-the-art CNN architecturesÊ Build deep neural networks with transfer Learning using features from pre-trained CNN models Apply computer vision concepts with easy-to-follow code in Jupyter Notebook WHAT WILL YOU LEARNÊ This book will help the readers to understand and apply the latest Deep Learning technologies to different interesting computer vision applications without any prior domain knowledge of image processing. Thus, helping the users to acquire new skills specific to Computer Vision and Deep Learning and build solutions to real-life problems such as Image Classification and Object Detection. This book will serve as a basic guide for all the beginners to master Deep Learning and Computer Vision with lucid and intuitive explanations using basic mathematical concepts. It also explores these concepts with popular the deep learning framework TensorFlow. WHO THIS BOOK IS FOR This book is for all the Data Science enthusiasts and practitioners who intend to learn and master Computer Vision concepts and their applications using Deep Learning. This book assumes a basic Python understanding with hands-on experience. A basic senior secondary level understanding of Mathematics will help the reader to make the best out of this book.Ê Table of Contents 1. Introduction to TensorFlow 2. Introduction to Neural NetworksÊ 3. Convolutional Neural NetworkÊÊ 4. CNN Architectures 5. Sequential Models
Feminist Literary and Cultural Criticism explores inter-disciplinary connections across Cultural Anthropology, Geography, Psychology, and feminist literary criticism to develop a theoretical framework for spatial criticism. Using the spatial gynocritics framework developed in the book, it analyzes selected texts from five different genres–short-story, novel, film, cartoons, and OTT series, created by women. The creators discussed in the book constitute a transnational collectivity of women that shares common concerns about gender, environment, technology, and social hierarchies. They comprise a geographically and linguistically diverse group from India, Uruguay, Spain, Argentina, and the USA. The book offers immense potential for a comparative study on numerous aspects, among which the present work concentrates on the treatment of Space, demonstrating that spatial logic and grammar are essential elements of the feminist praxis. The book reveals the unexamined potential in the women creators’ praxis of destabilizing, decentring, and destroying the ascribed centres around which social arrangements are structured. Moreover, the book offers valuable analytic tools that add to scholarship in literary theory, comparative cultural studies, comparative literature, gender studies, feminist criticism, and interdisciplinary humanities. It is an indispensable aid to students and faculty in these areas of study, enabling them to critique texts from a fresh perspective.
★ABOUT THE BOOK: The conventional energy sources like coal, petroleum and fossil fuels are limited in nature. About 55% of energy is produced by fossil fuels in India. And fossil fuels are limited in nature and are not long lasting. With the increase in demand of electrical energy, the alternative non- conventional energy generation technique is required. The generation of electrical energy through Sun is the best option. The day and night is periodic in nature. So, one can extract unlimited amount of energy from sun. The energy generated from the sun is called solar energy. The solar energy is generated with the help of photovoltaic cell which is also called PV Cells. The photovoltaic cell converts the light into electrical energy directly without any intermediate conversion step. Now days the solar energy is preferred over conventional fossil fuels generators. The solar energy is considered as green energy as it doesn’t create pollution and no mechanical parts are used in solar photovoltaic system. The solar photovoltaic system is 90% efficient for the first ten years and 80% efficient for the coming five years. The solar systems are equipped with battery sources to supply the load in night. In this way, if there is sunshine for seven to eight hours, the load can be supplied for complete 24 hours. To promote power system security or to avoid outage the solar systems are used. The Grid Tied solar system can also be designed, where in absence of sun; the power can be taken from grid. The wind speed, temperature, sunlight inclination are some of the parameters which decides the solar energy conversion efficiency. This project is focused on the case study of 8 KW solar photovoltaic system designing. Here, we focused on the location, environment, Solar Cell type, connection, protection and commissioning of the system. If wireless power transmission scheme will be developed in future, then solar panels will be installed in space that provides 24 hour unlimited green energy. The complete designing is done as per criteria decided by MNRE and CREDA. ★Key Features: Grid, Photovoltaic, Ministry of Non-Renewable Energy (MNRE), Chhattisgarh State Renewable Energy Development Agency (CREDA). ★About the Author: DR. DHARMENDRA KUMAR SINGH Professor Dr. C.V. Raman University & MR. NIKHIL KUMAR YADAV Asst. Professor Institute of Technology Korba, Chhatisgarh ★Book Details: ISBN : 978-81-89401-627 Pages: 121 + 5 Edition: 1st, Year -2021 Size(cms): L- 0.6 B-15.7 H-23,7
Unit-I Indian Contract Act, 1872 1.Business (Mercantile) Law : An Introduction, 2 .Indian Contract Act, 1872 : An Introduction , 3 Contract : Meaning, Definition and Characteristics of a Valid Contract , 4. Agreement : Meaning, Kinds and Difference, 5 .Proposal (Offer), Acceptance Communication and Revocation, 6. Capacity of Parties to Contract or Parties Competency to Contract, 7. Free Consent, 8. Lawful Consideration and Objects , 9. Agreements Expressly Declared as Void, 10. Contingent Contracts , 11. Performance of Contracts and Appropriation of Payments, 12. Discharge of Contracts, 13. Quasi or Implied Contracts of Certain Relations Resembling those Created by Contracts (Sections 68 to 72), 14. Remedies for Breach of Contract , Unit-II Special Contracts 15.Contract of Indemnity and Guarantee , 16. Contract of Bailment and Pledge, 17. Contracts of Agency , Unit-III The Sale of Goods Act, 1930 18.The Sale of Goods Act, 1930 : An Introduction , 19. Conditions and Warranties, 20. Effects of the Contract of Sale—Transfer of Ownership and Title, 21. Performance of Contract of Sale, 22. Remedial Measures and Auction Sale , Unit-IV The Negotiable Instruments Act, 1881 1..Negotiable Instruments Act, 1881 : Introduction, 2 .Parties to a Negotiable Instruments , 3. Negotiation , 4. Presentment and Dishonour of Negotiable Instruments, 5. Discharge of Negotiable Instruments, 6. Hundis , 7. Banker and Customer, Unit-V G.S.T. G.S.T.—Format and Computing Process.
Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key Features Understand OpenCV and select the right algorithm to solve real-world problems Discover techniques for image and video processing Learn how to apply face recognition in videos to automatically extract key information Book Description Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems. What you will learn Access and manipulate pixels in OpenCV using BGR and grayscale images Create histograms to better understand image content Use contours for shape analysis, object detection, and recognition Track objects in videos using a variety of trackers available in OpenCV Discover how to apply face recognition tasks using computer vision techniques Visualize 3D objects in point clouds and polygon meshes using Open3D Who this book is for If you are a researcher, developer, or data scientist looking to automate everyday tasks using computer vision, this workshop is for you. A basic understanding of Python and deep learning will help you to get the most out of this workshop.
As much as we’d like to believe that we own our lives, it is life that owns us. Life, it walks into the human heart, entangles and propels it to travel unknown paths, and carves a story for each individual – a story that is sometimes forgotten, a story that is silently lived, or a story that may remain buried in the deep corners of our hearts forever like a stabbing truth. ‘Beyond Contours’ comprises real-life stories built around relationships that grow in an amoebic manner, beyond perceived premises; the unrecognized, unstructured and misunderstood relationships that sometimes become more of our lives than the one we choose for ourselves. ‘Beyond Contours’ aims to be a companion for anyone seeking to unravel life through the prism of relationships. The stories will linger on long after you’ve read them. You may find parts of yourself in the stories, and wonder about the only thing inevitable in life, the uncertainty and unpredictability of it.
The Book Aims At An Appraisal Of R.N. Tagore S Novels In English Translations. It Highlights His Thematic Concerns And Novelistic Technique. The Book Also Provides A Comprehensive And Authentic Account Of His Literary Genius And His Vision Of The Human Predicament. It Contains A Faithful Profile Of His Age Marked By Profound Convulsions In Individual And Collective Consciousness.This Specific Study Of Tagore S Novels Based On The Themes Of Humanism And Nationalism Has Shown His Position And Achievement In The Domain Of Indian Fiction. The Book Studies Tagore S Art Of Writing Novels For Promotion Of Human Value And National Integration.Making An Attempt To Define And Interpret Humanism And Nationalism, And Their Application As Themes Of Novels By The Great Indo-Anglian Novelists And R.N. Tagore, The Book Provides A Critique Of R.N. Tagore S Nine Novels So Far Translated Into English. It Concludes With A Brief Critique On R.N. Tagore S Final Vision Of Life And Man.
In the 1940s, amidst the crumbling British Government and India’s struggle for self-governance, two stubborn teenagers strike an unlikely friendship over a game of gilli danda. In 2011, David and Nandini—now in their eighties—recall past events, revisit memories and share them with their grandchildren. As it Happened in 1942 is a story of revolutions—in society and within people. It is about finding the courage to accept your faults and forgiving others. But mostly, it’s the tale of two friends who push each other to grow and face a world determined to change them. Anandamayee Singh is a second year English and Psychology student at University of California, Los Angeles. Prior to that, she lived in Switzerland for nine years, studying at the International School of Geneva. It was there that she developed her love for cheese, chocolate and writing. Her parents and teachers encouraged her, and at the age of nine, her mother sold her stories to a mobile company, which turned them into audio bedtime stories for children. At school, she won several writing competitions and regularly wrote for her school’s literary magazine: Expressions. She has also forayed into journalism by interning with Jiji Press and the Times of India. At the age of fifteen, she penned the first draft of As it Happened in 1942 which was later picked up by Om Books International for publication. She is currently considering adding film or theatre to her long list of subjects to study due to her fascination with different forms of storytelling. Her biggest fears include being asked where she’s from, and snakes. Talking Points - Foreword by dancer-turned-journalist-turned-author Radhika Jha -Focuses on the ordinary yet forgotten stories of people in pre-independent India -A heart-warming tale of friendship that crosses barriers of identity, religion, class and colour -Highlights the importance of human relationships, universal love, peace and brotherhood
Ira is an army Officer wife, posted at Ferozepur Cantonment, she is a passionate teacher. Nimrat is a new admission in her class, a daughter of a queer looking Veer Nari. Ira is worried that Nimrat is not studying well, being passionate about her work, she goes to Nimrat’s house to meet her mother and talk about Nimrat’s poor performance in school at Mehboobpura Pind and is reeled by the look and character of the Pind. She comes across some very devastating information about the Pind and now is hunted by the goons. Ira’s life is in danger. She has to finish these diabolical people or she will be finished. Will Ira be successful in unfolding and further finishing the racket? Will she come out of it unscathed?
BPSC: Bihar Teacher Recruitment General Studies (Teacher Exam Cracker Series) Class 1-5 is all in one exam book which would help the aspirants to understand the basics and also help them to revise and evaluate their learning. The book contains complete coverage of syllabus and is divided into 8 topics: Elementary Mathematics, Mental Ability Test, General Awareness, General Science, Social Science, Indian National Movement, Geography and Environment.
1. FACE 2 FACE MAT is a complete collection of 24 years’ Solved Papers 2. The book is divided into 5 section 3. Solved Papers are provided for the practice of the question 4. We detailed answers are given for every question for better understanding Here comes “FACE 2 FACE MAT 24 years’ Solved Paper (2020 – 1997)” prepared under the close guidance of experts by keeping in mind to meet all the needs of students preparing for this exam and to gain entry into top business schools. Following the methodical approach this book gives comprehensive treatment to all the 5 sections as prescribed by the board. Ample numbers of solved questions (2020-1997) are mentioned in this book giving clear guidance on how to attempt the various types of questions with tips and tricks. Solved Papers are given to get acquainted with the paper pattern and question types. Adopting the unique style of teaching this book helps students to not only learn about the concepts but also managing time in during exam. Based on the latest syllabus and providing such a huge amount of solved papers, this book is a perfect study manual assuring success at your upcoming examination. TABLE OF CONTENT MAT SOLVED PAPER (Sept 2020), MAT SOLVE PAPER (May 2019), MAT SOLVED PAPER (May 2018), SECTION I: (Language & Comprehension), SECTION II: Intelligence & Critical Thinking, SECTION III: Mathematical Skills, SECTION IV: Data Analysis & Sufficiency, SECTION V: Indian & Global Environment.
An unprecedented and timely collection of writings by and on Jawaharlal Nehru--the man who shaped newly independent India; and the icon whose legacy is the subject of intense and often angry debate today. 'Who is this Bharat Mata, whose victory you wish?' asked Jawaharlal Nehru--a leading light of the Indian freedom movement who would become the country's first prime minister--at a public gathering in 1936. And then he explained: the mountains and rivers, forests and fields were of course dear to everyone, but what counted ultimately were 'the people of India...spread out all over this vast land. Bharat Mata, Mother India, [is] essentially these millions of people, and victory to her [is] victory to these people.' This collection of writings and speeches by and on Nehru shows us the mind--the ideology, born of experience, observation and deep study--behind this democratic and inclusive idea of India. It is a book of particular relevance at a time when 'nationalism' and the slogan 'Bharat Mata ki Jai' are being used to construct a militant and purely emotional idea of India that excludes millions of residents and citizens. 'Who Is Bharat Mata?' contains selections from Nehru's classic books--An Autobiography, Glimpses of World History and The Discovery of India; his speeches, essays and letters from the pre- and post-Independence years; and some of his most revealing interviews. The concluding section of the book comprises reminiscences and assessments of Nehru by his contemporaries--among them, Mahatma Gandhi, Bhagat Singh, Sardar Patel, Maulana Azad, Aruna Asaf Ali, Sheikh Abdullah, Ramdhari Singh Dinkar, Ali Sardar Jafri, Martin Luther King Jr and Atal Bihar Vajpayee. In this carefully put-together anthology--which also carries an illuminating introduction--Nehru emerges as a remarkable man of ideas and action who had an instinctive understanding of India's civilizational spirit, as also a clear commitment to the scientific temper; and as a leader who, despite the compulsions of politics, remained a true democrat. His legacy continues to be extremely relevant--for, in the words of the editor, an understanding of 'Nehru's political and intellectual journey is a pre-condition for India's survival as a democratic polity and as a humane, compassionate society'.
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