Bøger udgivet af WSPC/HEP

The experimental teaching of materials science and engineering (MSE) is important because the comprehensive applications and the practical knowledge of the professionals are not only an important way for undergraduate students to grasp the knowledge but also to understand the purpose of the study. In order to cultivate students' ability to solve complex engineering problems, more comprehensive experiments should be designed.Besides the essential basic experiments in the first few chapters, most of the experiments designed in this book are comprehensive, hence the title. This book breaks the boundaries in the experimental courses of MSE. The experiments in this book are modularized into five parts, including preliminary exploration of materials science and engineering, fundamentals of chemistry and crystallography, material properties, material preparation and treatment, and material applications. Besides the experiments, the appendices will describe the most relevant aspects of experimental safety, error, and data presentation in a general way. The contents and requirements of the experimental report are suggested. At the end of each chapter, a list of books, journal articles, and websites is provided for extended reading on the topics covered in the chapter.This book covers the main contents of experimental courses of MSE. The experiments cover the forefront of scientific research and the materials industry with appropriate modification. It intends to serve as a textbook for undergraduate students and aims to help teachers find a wide enough variety of experiments to construct in an experimental course.

This book is mainly a collection of lecture notes for the 2021 LIASFMA International Graduate School on Applied Mathematics. It provides the readers some important results on the theory, the methods, and the application in the field of "Control of Partial Differential Equations". It is useful for researchers and graduate students in mathematics or control theory, and for mathematicians or engineers with an interest in control systems governed by partial differential equations.

The book aims at giving a monographic presentation of the abstract harmonic analysis of hypergroups, while combining it with applied topics of spectral analysis, approximation by orthogonal expansions and stochastic sequences. Hypergroups are locally compact Hausdorff spaces equipped with a convolution, an involution and a unit element. Related algebraic structures had already been studied by Frobenius around 1900. Their axiomatic characterisation in harmonic analysis was later developed in the 1970s. Hypergoups naturally emerge in seemingly different application areas as time series analysis, probability theory and theoretical physics.The book presents harmonic analysis on commutative and polynomial hypergroups as well as weakly stationary random fields and sequences thereon. For polynomial hypergroups also difference equations and stationary sequences are considered. At greater extent than in the existing literature, the book compiles a rather comprehensive list of hypergroups, in particular of polynomial hypergroups. With an eye on readers at advanced undergraduate and graduate level, the proofs are generally worked out in careful detail. The bibliography is extensive.

This compendium is based on more than ten years of urban remote sensing teaching experience, scientific research achievements, and the latest developments of remote sensing technology.The volume is divided into ten chapters, which describes the principles of urban remote sensing and multi-source remote sensing big data acquisition, urban remote sensing image processing methods, urban remote sensing image specific applications in related industries, and the prospect of urban remote sensing development. It summarizes the achievements on urban remote sensing projects, uses a large number of algorithm studies as intuitive materials, combines the achievements of urban remote sensing technology, and provides typical industry solutions or case studies in specific applied urban remote sensing areas.This essential reference textbook benefits undergraduate and graduate students, and anyone keen in urban remote sensing.

The book systematically introduces the basic contents of data science, including data preprocessing and basic methods of data analysis, handling special problems (e.g. text analysis), deep learning, and distributed systems.In addition to systematically introducing the basic content of data science from a theoretical point of view, the book also provides a large number of data analysis practice cases.