Böcker utgivna av Springer Verlag, Singapore

Comprehensively discussing all aspects of drilling technologies, and providing abundant figures, illustrations and tables, examples and exercises to facilitate the learning process, it is a valuable resource for students, scholars and engineers in the field of petroleum engineering.

This open access book presents multidisciplinary research on the cultural history, ethnic connectivity, and oceanic transportation of the ancient Indigenous Bai Yue ( ) in the prehistoric maritime region of southeast China and southeast Asia.

Today, the development of robots is making steady advances. In particular, the Robot Operating System (ROS) offers a unified platform that greatly facilitates the development of robots and has become a new hotspot for learning and application in the field of robotics research.This book introduces readers to the key technologies and development methods for ROS-based intelligent robots. Covering both the development history of robots and various aspects of programming robots, it offers effective support for beginners.The book is divided into three parts, the first of which introduces the basics of robots, including their definition, development, composition, and key technologies. In turn, the second part covers the hardware and software components and the implementation of functions such as vision, speech, grasping, and autonomous navigation. These functions need to work together to provide user-friendlier and more intelligent service. The third part shows how to develop robots with different functions in different application scenarios.Combining theoretical and practical aspects, with a strong focus on application, this work can be used as a reference book for robotics-related courses. Moreover, it will benefit all readers who are interested in intelligent robot development, sharing essential insights into developing service robots based on ROS.

This is a popular science book surrounding astronauts¿ life on the space station. The book not only highlights the weightlessness experience of astronauts and the extraordinary phenomena they witness, but also illustrates the physics behind these events, which opens a new window for readers to explore the outer space. This book is especially fun for those who are curious about the life details of astronauts on the space station. The book is based on real events, and features images and cartoons that vividly depict unusual scenes between the outer space and the earth. Physical principles become easier to understand with these visual aids. During the reading, readers can immerse themselves in the enjoyable adventure of space travel and the strange feeling of weightlessness while having their doubts of every oddity solved. The book elaborates on the interesting contrast between the space and the earth, and provides readers with a stunning new perspective with easily comprehensible language and examples.

This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, ¿2D Computer Vision: Principles, Algorithms and Applications¿), including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc. The book is mainly based on my lecture notes for several undergraduate and graduate classes I have offered over the past several years, while a number of topics stem from my research publications co-authored with my students. This book takes into account the needs of learners with various professional backgrounds, as well as those of self-learners. Furthermore, it can be used as a reference guide for practitioners and professionals in related fields. To aid in comprehension, the book includes a wealth of self-test questions (with hints and answers). On the one hand, these questions help teachers to carry out online teaching and interact with students during lectures; on the other, self-learners can use them to assess whether they have grasped the key content.

This book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development.

In 2021, the University Grants Committee of Hong Kong, the funding body for higher education in Hong Kong, initiated a scheme and associated grant fund with the aim of enhancing the use of technology for teaching in higher education institutions in Hong Kong. In the Faculty of Social Sciences, Hong Kong Baptist University, the funding was used to support colleagues in various disciplines to develop teaching and learning projects that capitalized on technology to improve the educational experiences of students. In this book, seven project teams from five disciplines, Education, Geography, History, Social Work, and Sociology, share their technological innovations. Each chapter presents the design, implementation, challenges, benefits, and impact on student learning and experiences of each innovative project. Lecturers, professors and curriculum designers engaged in teaching and learning will find this book an invaluable resource as it provides ways to integrate technology into their teaching practices. Scholars of teaching and learning (SoTL) will also find the book a useful reference for up-to-date technological and pedagogical practices in the social science disciplines.

This book introduces basic concepts, principle, and methods of medical statistics systematically and practically, especially in the statistical design of the experiment in terms of the specific problems, adequate use of statistical methods based on actual data and the reasonable explanation for statistical results.This textbook combines statistical methods with the common application of SPSS software, which is flexible, convenient, and user-friendly; thus, students can focus on the deep understanding of statistics.The authors emphasize the application and generalization of statistical methods, and combine these methods with the modern statistical theory, such as sequential contingency table and multivariate statistical modelling, etc.This book is a useful textbook for graduate and undergraduate students in medical schools, including MBBS (Bachelor of Medicine and Bachelor of Surgery) student.

This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis. As a fundamental book on machine learning, it addresses the needs of researchers and students who apply machine learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into machine learning.

This book mainly focuses on environmental and resource law under Chinese law, involving secondary disciplines such as international law, civil law, administrative law and criminal law, as well as issues related to other first-class disciplines such as environmental science and ecology. The contents include general theory of environmental law (basic theory), prevention and control of environmental pollution, natural resources protection law and international environmental law. It basically covers all fields of China's environmental law and is a handy reference for those seeking to understand it.

This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms.A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron-Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences.Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding. By using Python's libraries NumPy, Matplotlib, VPython, and SymPy, readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations. All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.

This textbook provides essential and fundamental information to modern forensics investigations. It discusses criminalistics and crime scene aspects, including investigation, management, collecting and packaging various types of physical evidence, forwarding, and chain of custody. It presents fundamental principles, ethics, challenges and criticism of forensic sciences and reviews the crime typologies, the correlates of crime, criminology, penology, and victimology. It provides a viewpoint on legal aspects, including types of evidence, the procedure in the court and scrutiny of the evidence and experts. The book summarizes forensic serological evidences such as blood, semen, saliva, milk-tears, sweat, vaginal fluids, urine, and sweat. It also provides an overview of forensic examination of different types of evidence and also includes comprehensive detailing of forensic ballistics including firearm classification, bullet comparison and matching. Further, it explores the examinations of drugs, chemicals, explosives, and petroleum products. It focuses on the various aspects of forensic toxicology, including the study of various poisons/toxins, associated signs and symptoms, a fatal dose /fatal period of poisons. The book also emphasizes digital and cyber forensics, including classification, data recovery tools, encryption and decryption methods, image, and video forensics.It is a useful resource for graduate and post-graduate students in the field of Forensic Science.

The Artefacts of Digital Mental Health focuses on smartphone apps, wearables devices, and ingestible sensors, which are at the centre of research, development, and investment in mental health and digitalisation. The book aims to examine digital mental health through three artefacts that are defined by their ubiquity, everydayness, popularity, innovation and hype, and emergent qualities. It engages with theoretical approaches to technology, mental health, and wellbeing informed by Science and Technology Studies, sociological studies of health and mental health, and sociomaterialism. The book brings together different theories of mental health, subjectivity, the body, care, and digitalisation alongside biodigital artefacts as exemplars of transformations in digital mental health.

This book presents the achievements made in solar energy and prospects in achieving solar potential in India. It covers the historical perspectives, innovations and myriad applications of solar energy in its different forms. The book discusses solar devices and covers both solar photovoltaics and solar thermal energy and includes both heat and electricity applications. Solar policies in India, solar research, technologies, large scale adoption as well as future trends are also discussed. This book will be useful for researchers and professionals with interests in technological, economical and policy developments in solar energy driven power industry.

Textile industry wastewater contains toxic dyes as well as heavy metals and many other persistent organic compounds which are difficult to biodegrade using conventional biological methods. Advanced Oxidation Processes (AOPs) are one of the best alternatives for the effective degradation of such compounds. This Volume 2 starts with homogeneous and heterogeneous Fenton processes and reviews the application and variables that affect the process. It then discusses plasma technology- an emerging method in terms of its chemistry, treatment set-up, limitations, etc. The positive performance of carbon tetrachloride in process intensification of dye degradation is presented. The other chapters include topics such as sonoenzymatic treatment processes, electroflocculation versus textile wastewater, combination of photocatalysis and membrane Separation, and enhancement of anaerobic digestion and photodegradation through adsorption.