This book includes description of main morphological characteristics of 435 species (including varieties and subspecies) belonging to 57 families and 233 genera of endemic and endangered plants of Hulun Buir Rangeland in China. A brief description of the morphological characteristics of each plant, flowering period, zoning, habitat, and the usage habits of most plants, together with 1 to 4 photographs taken in the field are provided. This work is designed not only for researchers working in rangeland science, ecological restoration and protection but also for professionals working in rangeland and related fields. The work is a result of many years of rangeland plant collection and specimens identification.
The integration of MOEMS microelement arrays into smart glass for light steering shows promising features and valuable advantages in terms of energy conservation, enhancing lighting conditions, and improving human comfort. This study explores various actuation solutions and concludes that electrostatically actuated MOEMS devices from INA offer rapid actuation speed, minimum energy consumption, long lifetime and high stability.
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
To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to make this decoupling a reality. The proposed syste
Numerical Simulation of Effluent Discharges: Applications with OpenFOAM provides a resource for understanding the effluent discharge mechanisms and the approaches for modeling them. It bridges the gap between academia and industry with a focused approach in CFD modeling and providing practical examples and applications. With a detailed discussion on performing numerical modeling of effluent discharges in various ambient waters and with different discharge configurations, the book covers the application of OpenFOAM in effluent discharge modeling. Features: Discusses effluent discharges into various ambient waters with different discharge configurations. Focuses on numerical modeling of effluent discharges. Covers the fundamentals in predicting the mixing characteristics of effluents resulting from desalination plants. Reviews the past CFD studies on the effluent discharge modeling thoroughly. Provides guidance to researchers and engineers on the future steps in modeling of effluent discharges. Includes an introduction to OpenFOAM and its application in effluent discharge modeling. The book will benefit both academics and professional engineers practicing in the area of environmental fluid mechanics and working on the effluent discharge modeling. Chapter 3 of this book is available for free in PDF format as Open Access from the individual product page at www.routledge.com. It has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Computational Fluid-Structure Interaction: Methods, Models, and Applications provides detailed explanations of a range of FSI models, their mathematical formulations, validations, and applications, with an emphasis on conservative unstructured-grid FVM. The first part of the book presents the nascent numerical methods, algorithms and solvers for both compressible and incompressible flows, computational structural dynamics (CSD), parallel multigrid, IOM, IMM and ALE methods. The second half covers the validations of these numerical methods and solvers, as well as their applications in a broad range of areas in basic research and engineering. - Provides a comprehensive overview of the latest numerical methods used in FSI, including the unstructured-grid finite volume method (FVM), parallel multigrid scheme, overlapping mesh, immersed object method (IOM), immersed membrane method (IMM), arbitrary Lagragian-Eulerian (ALE), and more - Provides full details of the numerical methods, solvers and their validations - Compares different methods to help readers more effectively choose the right approach for their own FSI problems - Features real-life FSI case studies, such as large eddy simulation of aeroelastic flutter of a wing, parallel computation of a bio-prosthetic heart valve, and ALE study of a micro aerial vehicle
Applied Geochemistry: Advances in Mineral Exploration Techniques is a book targeting all levels of exploration geologists, geology students and geoscientists working in the mining industry. This reference book covers mineral exploration techniques from multiple dimensions, including the application of statistics - both principal component analysis and factor analysis - to multifractal modeling. The book explains these approaches step-by-step and gives their limitations. In addition to techniques and applications in mineral exploration, Applied Geochemistry describes mineral deposits and the theories underpinning their formation through worldwide case studies.
This book covers major topics in the Anglo-American tradition, including deixis, presupposition, implicature, speech acts, and (im)politeness. These key topics are illustrated with examples and case studies from various contexts such as romantic relationships, online forums, social media posts, and popular culture. The book also includes a methods chapter that offers a hands-on guide for literature search, data collection, and data analysis. This book is particularly suitable for readers who have no prior knowledge of pragmatics.
This SpringerBrief presents the concept of the smart grid architecture and investigates the security issues of the smart grid and the existing encrypted data query techniques. Unique characteristics of smart grid impose distinguished challenges on this investigation, such as multidimensional attributes in metering data and finer grained query on each dimension. Three kinds of queries are introduced, namely, equality query, conjunctive query and range query. For the equality query over encrypted metering data, an efficient searchable encryption scheme is introduced and can be applied for auction in emerging smart grid marketing. Later chapters examine the conjunctive query and range query over encrypted data. Different techniques are used, including the Public key Encryption with Keyword Search (PEKS) and Hidden Vector Encryption (HVE), to construct the comparison predicate and range query predicate. Their correctness is demonstrated in the book. Concise and practical, Encrypted Data Querying in Smart Grids is valuable for professionals and researchers involved in data privacy or encryption. It is also useful for graduate students interested in smart grid and related technologies.
This book presents a series of studies on the status quo, characteristics of and trends in China’s eSports industry, while also analyzing key problems to help the industry avoid potential risks, seize opportunities for development, and promote industrial drivers. In addition, it puts forward feasible plans and strategic suggestions for high-quality innovation and development of the industry. Electronic sports or eSports refers to digital entertainment activities that combine technological, sports, cultural and social aspects, and which have a unique commercial and user value. With their rapid growth in this century, eSports are now an emerging sector with huge growth potential and room for innovation. In 2020, China’s eSports industry led the globe in growth rates; contributing roughly RMB 75.198 billion, it brought considerable new momentum to the national economy. As a new cultural phenomenon, eSports are politically, economically, culturally, and socially suited to helping use information technologies to restructure human social activities. The emergence and spread of an eSports culture embody the richness of subcultural phenomena and the importance of multicultural spaces, while also having a positive effect on people’s competitive spirit, intelligence, aesthetic tastes, etc. However, during the COVID-19 pandemic, China’s eSports industry has faced a host of problems, e.g. postponed competitions, management difficulties and brand devaluation, all of which have hampered its progress. Nevertheless, the number of Chinese eSports users is on the rise and the online market share is climbing steadily, establishing a user base for the industry. Moreover, new technological advances like 5G, VR and AR offer a wealth of new opportunities for innovation in China’s eSports industry. The book encourages readers to approach the topic from various perspectives and think across disciplines. As a result, it is not only essential reading for students at colleges and universities, but also offers a valuable reference guide for eSports researchers and enthusiasts.
This study has developed a complete procedure for the measurement of oxygen isotopes in arsenic oxyanions in natural waters by using different adsorbents. The experimental results of kinetic exchange of oxygen between AsO43- and water show that the entire exchange procedure happens in a very short time at different pH conditions and temperatures.
Although adaptive filtering and adaptive array processing began with research and development efforts in the late 1950's and early 1960's, it was not until the publication of the pioneering books by Honig and Messerschmitt in 1984 and Widrow and Stearns in 1985 that the field of adaptive signal processing began to emerge as a distinct discipline in its own right. Since 1984 many new books have been published on adaptive signal processing, which serve to define what we will refer to throughout this book as conventional adaptive signal processing. These books deal primarily with basic architectures and algorithms for adaptive filtering and adaptive array processing, with many of them emphasizing practical applications. Most of the existing textbooks on adaptive signal processing focus on finite impulse response (FIR) filter structures that are trained with strategies based on steepest descent optimization, or more precisely, the least mean square (LMS) approximation to steepest descent. While literally hundreds of archival research papers have been published that deal with more advanced adaptive filtering concepts, none of the current books attempt to treat these advanced concepts in a unified framework. The goal of this new book is to present a number of important, but not so well known, topics that currently exist scattered in the research literature. The book also documents some new results that have been conceived and developed through research conducted at the University of Illinois during the past five years.
The integration of MOEMS microelement arrays into smart glass for light steering shows promising features and valuable advantages in terms of energy conservation, enhancing lighting conditions, and improving human comfort. This study explores various actuation solutions and concludes that electrostatically actuated MOEMS devices from INA offer rapid actuation speed, minimum energy consumption, long lifetime and high stability.
This book includes description of main morphological characteristics of 435 species (including varieties and subspecies) belonging to 57 families and 233 genera of endemic and endangered plants of Hulun Buir Rangeland in China. A brief description of the morphological characteristics of each plant, flowering period, zoning, habitat, and the usage habits of most plants, together with 1 to 4 photographs taken in the field are provided. This work is designed not only for researchers working in rangeland science, ecological restoration and protection but also for professionals working in rangeland and related fields. The work is a result of many years of rangeland plant collection and specimens identification.
For buildings and factories located near railway or subway lines, the vibrations caused by the moving trains may be annoying to the residents or detrimental to the high-precision production lines. Compared with the boundary element method (BEM) for solving the half-space problems, this book presents finite/infinite element method (FIEM).
This book constitutes the refereed proceedings of the International Conference on Data and Knowledge Engineering, ICDKE 2012, held in Wuyishan, Fujian, China, in November 2012. The conference was co-located with the 6th International Conference on Network and System Security, NSS 2012. The 13 revised full papers of ICDKE 2012 were carefully reviewed and selected from 53 submissions. The papers cover the following topics: artificial intelligence and data engineering; knowledge discovery and data management; information extraction and retrieval and data security.
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