Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: • supply chain design, • product development, • manufacturing system design, • product quality control, and • preservation of privacy. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.
This book focuses on adaptive iterative learning control problem for nonlinear time-delay systems.A universal adaptive learning control scheme is provided for a wide classes of nonlinear systems with time-varying delay and input nonlinearity. Proceeding from easy to difficult, this book deals with the adaptive iterative learning control problems for parameterized nonlinear time-delay systems, non-parameterized nonlinear time-delay systems, nonlinear time-delay systems with unknown control direction and nonlinear time-delay systems with un-measurable states. The proposed control schemes can be extended to the adaptive learning control problem for wider classes of nonlinear systems revelent to abovementioned nonlinear systems.The topics presented in this book are research hot spots of iterative learning control. This book will be a valuable reference for researchers and students working or studying in this area.
As the first volume of a two-volume set that presents a comprehensive syntactical picture of Singapore Mandarin, this title discusses the distinguishing characteristics of the Chinese language and describes the grammar of Singapore Mandarin. The book first provides an overview of the grammar of Singapore Mandarin and compares it with Chinese Mandarin (Putonghua). As a variety of Mandarin Chinese, Singapore Mandarin is also characterised by syntactic rules taking precedence over morphological rules. Therefore, it is argued that word order and functional words are specifically important in the study of Singapore Mandarin. Then the author explicates the properties and functions of the following nine grammatical components: the five most basic phrase types, word classes, sentences, subjects and predicates, predicates and objects, predicates and complements, attributes and adverbials, complex predicate phrases, and prepositions and prepositional phrases. With rich and authentic language examples, the book will serve as a must-read for learners and teachers of Mandarin Chinese and linguistics scholars interested in global Chinese and especially Singapore Mandarin.
As the second volume of a two-volume set that presents a comprehensive syntactical picture of Singapore Mandarin, this title analyses various expressions relating to number, quantity, time and place, composite sentences and the characteristics and standardisation of Singapore Mandarin. The first two chapters discuss expressions of number, quantity, time and place in Singapore Mandarin and touch upon the differences in these expressions between Singapore and Chinese Mandarin (Putonghua). Composite sentences are then analysed, covering seven types of compound sentences and eight types of complex sentences, as well as connective words with a focus on conjunctions. The final part of the volume analyses the characteristics of Singapore Mandarin grammar compared with Chinese Mandarin, on the level of phrase, lexicon and sentence. From the perspectives of language contact, political and social contexts and bilingualism, it summarises the possible reasons for the differences between the two varieties of Chinese and points out primary challenges and major concerns of the standardisation of Singapore Mandarin. With rich and authentic language examples, the book will serve as a must read for learners and teachers of Mandarin Chinese and linguistics scholars interested in global Chinese and especially Singapore Mandarin.
This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc. In this book, the authors present methods for both traditional and emerging saliency computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient object detection. For low-level tasks, the authors focus on pixel-level image processing approaches based on efficient distance transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both empirical and theoretical studies, together with implementation details of the proposed methods. Below are the key features for different types of readers. For computer vision and image processing practitioners: Efficient algorithms based on image distance transforms for two pixel-level saliency tasks; Promising deep learning techniques for two novel object-level saliency tasks; Deep neural network model pre-training with synthetic data; Thorough deep model analysis including useful visualization techniques and generalization tests; Fully reproducible with code, models and datasets available. For researchers interested in the intersection between digital topological theories and computer vision problems: Summary of theoretic findings and analysis of Boolean map distance; Theoretic algorithmic analysis; Applications in salient object detection and eye fixation prediction. Students majoring in image processing, machine learning and computer vision: This book provides up-to-date supplementary reading material for course topics like connectivity based image processing, deep learning for image processing; Some easy-to-implement algorithms for course projects with data provided (as links in the book); Hands-on programming exercises in digital topology and deep learning.
Measurement and Analysis of Overvoltages in Power Systems Jianming Li, Professor, State Grid Corporation, China A combination of theory and application, this book features practical tests and analytical techniques comprehensively with engineering practicality as its focus. Based on years of research and industry experience, the author introduces many scientific research methods such as overvoltage simulation studies, dynamic simulation experiment platform development and application, and overvoltage pattern recognition. Readers will get a good grounding in the various sources of overvoltages in power systems, methods in on-line measurements as well as explanations of overvoltage formation mechanisms and monitoring analysis methods. •Systematically examines sources, online measurements, analytical techniques, and simulations of overvoltages, with an emphasis on engineering practicality •Presents practical engineering examples analyzing overvoltages and improving system operation, based on field experiments and data analysis •Features overvoltage simulations and waveform analysis in transmission systems Measurement and Analysis of Overvoltages in Power Systems is intended as an all-in-one guide for engineers and researchers in power systems engineering. It can be used as a reference text for graduate students and lecturers of electrical engineering.
This book explores the history of mechanical engineering since the Bronze Age. Focusing on machinery inventions and the development of mechanical technology, it also discusses the machinery industry and modern mechanical education. The evolution of machinery is divided into three stages: Ancient (before the European Renaissance), Modern (mainly including the two Industrial Revolutions) and Contemporary (since the Revolution in Physics, especially post Second World War). The book not only clarifies the development of mechanical engineering, but also reveals the driving forces behind it – e.g. the economy, national defense and human scientific research activities – to highlight the links between technology and society; mechanical engineering and the natural sciences; and mechanical engineering and related technological areas. Though mainly intended as a textbook or supplemental reading for graduate students, the book also offers a unique resource for researchers and engineers in mechanical engineering who wish to broaden their horizons.
This book discusses environmental management and construction management approaches to the environmental problems that can emerge in construction projects. It sets a brand new standard for environmental management in mega construction projects in China and helps all construction project stakeholders establish a more compliant and efficient environmental management system. The authors systematically explore management systems and team management, offering managerial methods and tips based on international and Chinese practices. Outlining all the environmental challenges that can arise during construction, it is a valuable resource for company owners, construction contractors, and construction management consultants and companies. It also offers useful insights for engineers, project managers and project executives.
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: • supply chain design, • product development, • manufacturing system design, • product quality control, and • preservation of privacy. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.
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