The Last Encounter" is a work of fiction. The story is about a burglar, who planned a furtive operation to rob an empty house. As he broke into the house, he was taken aback to find that the family left for vacation leaving a lady, presumably their domestic help, enslaved in the house. He left the house that night, but his qualm of conscience compelled him to keep coming back to help the lady escape from the confinement. The girl's narrative full of misery made him empathetic towards her. The next evening, as he returned to the house for a last time to take the lady away, he was shocked to realize that the girl mysteriously disappeared from the locked building. However, he accidentally found a diary written by the girl revealing unknown and agonizing truth. The diary narrated how the family she worked for tortured her and always kept her enslaved in her room. The burglar, determined to find the girl, surrendered to the Police along with the diary. He also wanted to expose the family members that apparently ill- treated their maid. Eventually, the Police investigation discovered a spine-chilling truth that left everybody baffled.
This text is a comprehensive revision tool for trainees preparing for examinations in anaesthesiology. Presented in question and answer format, the book provides a selection of 50 long and short cases in line with current curricula. Each case presents a different topic covering anaesthesia associated with a range of different disorders in all systems of the body, and in different sectors of the population. Cases cover both routine and more complicated procedures in common and less common disorders. The text is further enhanced by more than 60 photographs and diagrams to assist learning and revision. Key points Comprehensive revision tool for anaesthesiology trainees preparing for examinations Presents 50 long and short cases, in question and answer format Covers anaesthesia for many different disorders and procedures Clinical photographs and diagrams further enhance learning
Current vision systems are designed to perform in normal weather condition. However, no one can escape from severe weather conditions. Bad weather reduces scene contrast and visibility, which results in degradation in the performance of various computer vision algorithms such as object tracking, segmentation and recognition. Thus, current vision systems must include some mechanisms that enable them to perform up to the mark in bad weather conditions such as rain and fog. Rain causes the spatial and temporal intensity variations in images or video frames. These intensity changes are due to the random distribution and high velocities of the raindrops. Fog causes low contrast and whiteness in the image and leads to a shift in the color. This book has studied rain and fog from the perspective of vision. The book has two main goals: 1) removal of rain from videos captured by a moving and static camera, 2) removal of the fog from images and videos captured by a moving single uncalibrated camera system. The book begins with a literature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorithm is explored. Temporal and spatiotemporal properties of rain pixels are analyzed and using these properties, two rain removal algorithms for the videos captured by a static camera are developed. For the removal of rain, temporal and spatiotemporal algorithms require fewer numbers of consecutive frames which reduces buffer size and delay. These algorithms do not assume the shape, size and velocity of raindrops which make it robust to different rain conditions (i.e., heavy rain, light rain and moderate rain). In a practical situation, there is no ground truth available for rain video. Thus, no reference quality metric is very useful in measuring the efficacy of the rain removal algorithms. Temporal variance and spatiotemporal variance are presented in this book as no reference quality metrics. An efficient rain removal algorithm using meteorological properties of rain is developed. The relation among the orientation of the raindrops, wind velocity and terminal velocity is established. This relation is used in the estimation of shape-based features of the raindrop. Meteorological property-based features helped to discriminate the rain and non-rain pixels. Most of the prior art algorithms are designed for the videos captured by a static camera. The use of global motion compensation with all rain removal algorithms designed for videos captured by static camera results in better accuracy for videos captured by moving camera. Qualitative and quantitative results confirm that probabilistic temporal, spatiotemporal and meteorological algorithms outperformed other prior art algorithms in terms of the perceptual quality, buffer size, execution delay and system cost. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics. Table of Contents: Acknowledgments / Introduction / Analysis of Rain / Dataset and Performance Metrics / Important Rain Detection Algorithms / Probabilistic Approach for Detection and Removal of Rain / Impact of Camera Motion on Detection of Rain / Meteorological Approach for Detection and Removal of Rain from Videos / Conclusion and Scope of Future Work / Bibliography / Authors' Biographies
Every year lives and properties are lost in road accidents. About one-fourth of these accidents are due to low vision in foggy weather. At present, there is no algorithm that is specifically designed for the removal of fog from videos. Application of a single-image fog removal algorithm over each video frame is a time-consuming and costly affair. It is demonstrated that with the intelligent use of temporal redundancy, fog removal algorithms designed for a single image can be extended to the real-time video application. Results confirm that the presented framework used for the extension of the fog removal algorithms for images to videos can reduce the complexity to a great extent with no loss of perceptual quality. This paves the way for the real-life application of the video fog removal algorithm. In order to remove fog, an efficient fog removal algorithm using anisotropic diffusion is developed. The presented fog removal algorithm uses new dark channel assumption and anisotropic diffusion for the initialization and refinement of the airlight map, respectively. Use of anisotropic diffusion helps to estimate the better airlight map estimation. The said fog removal algorithm requires a single image captured by uncalibrated camera system. The anisotropic diffusion-based fog removal algorithm can be applied in both RGB and HSI color space. This book shows that the use of HSI color space reduces the complexity further. The said fog removal algorithm requires pre- and post-processing steps for the better restoration of the foggy image. These pre- and post-processing steps have either data-driven or constant parameters that avoid the user intervention. Presented fog removal algorithm is independent of the intensity of the fog, thus even in the case of the heavy fog presented algorithm performs well. Qualitative and quantitative results confirm that the presented fog removal algorithm outperformed previous algorithms in terms of perceptual quality, color fidelity and execution time. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics.
The purpose of this book is first to study MATLAB programming concepts, then the basic concepts of modeling and simulation analysis, particularly focus on digital communication simulation. The book will cover the topics practically to describe network routing simulation using MATLAB tool. It will cover the dimensions’ like Wireless network and WSN simulation using MATLAB, then depict the modeling and simulation of vehicles power network in detail along with considering different case studies. Key features of the book include: Discusses different basics and advanced methodology with their fundamental concepts of exploration and exploitation in NETWORK SIMULATION. Elaborates practice questions and simulations in MATLAB Student-friendly and Concise Useful for UG and PG level research scholar Aimed at Practical approach for network simulation with more programs with step by step comments. Based on the Latest technologies, coverage of wireless simulation and WSN concepts and implementations
India is home to hundreds of tribal communities, each with their own unique cultures, traditions and ways of life. Among these are the Particularly Vulnerable Tribal Groups (PVTGs), who are identified as being at risk of losing their distinct identities, livelihoods and traditional practices. This book takes an in-depth look at the PVTGs residing in the state of Jharkhand through the analytical lens of anthropology. It consists of untold stories on its indigenous people as a tribute to their reliance, wisdom and unwavering Spirit. Through a chronological exploration, the book aims to understand the pivotal role played in shaping regional identity with political historicity, livelihood practices, indigenous knowledge, dynamic interest with local life and to investigate the indigenous’ contribution. The authors evaluate current policies related to the preservation and empowerment of PVTGs. The book highlights the urgent need to protect and uplift these ancient but vulnerable communities before their irreplaceable cultures are lost forever.
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