Xiaoli Duan's Books

Highlights of the Chinese Exposure Factors Handbook

By: Xiaoli Duan

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Highlights of the Chinese Exposure Factors Handbook

By: Xiaoli Duan

The Chinese Research Academy of Environmental Sciences (CRAES) has conducted the Environmental exposure related activity pattern research of Chinese population (Adults). Exposure Factors Handbook of Chinese Population (Adults) was compiled based on the results from this study. Highlights of the Chinese Exposure Factors Handbook is a brief introduction to the content of Exposure Factors Handbook of Chinese Population (Adults). In each chapter, definitions, possible influence factors, and survey methods have been introduced, followed by recommended values for urban/rural areas, different genders, age groups and regions with information of mean, median and P5, P25, P75, P95 values. With the abundant data and tables, readers are provided with an accessible and comprehensive overview of Chinese exposure factors. - The first and only one covering Chinese exposure factors, which have been absent until now and are essential for the exposure and risk assessment of environmental agents - Presents several tables on ingestion rates, as well as activity biology and residential factors based on data from a national survey - Provides a brief but comprehensive understanding of the environmental exposure-related factors for the Chinese population

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Academic Press

Published Date

ISBN 10

0128031263

ISBN 13

9780128031261

Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

By: Weihua Li,Xiaoli Zhang,Ruqiang Yan

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Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

By: Weihua Li,Xiaoli Zhang,Ruqiang Yan

Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.

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Page Count

474

Publisher

Springer Nature

Published Date

ISBN 10

9819935377

ISBN 13

9789819935376

Novice Mathematics Teachers’ Professional Learning

A Multi-Case Study in Shanghai

By: Xiaoli Lu

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Novice Mathematics Teachers’ Professional Learning

A Multi-Case Study in Shanghai

By: Xiaoli Lu

This book investigates three novice high school mathematics teachers’ professional learning processes in the early stages of their careers at schools in Shanghai, China. Teacher professional learning is examined as a complex and dynamic system that connects both cognitive and situated perspectives on learning theory. Inspiring mathematics teachers to adopt student-focused pedagogies is challenging, particularly in China where tensions in teacher-centred, content-focused and examination-oriented practices are predominant. The three novice teachers who participated in this study brought different beliefs and knowledge derived from their different individual experiences to bear on their teaching practices. However, they were strongly influenced by the environments in which they taught and mainly adopted a professional learning approach to teacher-centred practices, despite reporting that they favoured student-centred teaching practices. The study also observed professional learning towards student-centred pedagogical aspects in a single teacher case with mentorship support, indicating that student-centred pedagogies may be promoted within the constraints of the existing dominant teaching practice.

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Page Count

212

Publisher

Springer Nature

Published Date

ISBN 10

3658372362

ISBN 13

9783658372361

Chemometric Methods in Analytical Spectroscopy Technology

By: Xiaoli Chu,Yue Huang,Yong-Huan Yun,Xihui Bian

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Chemometric Methods in Analytical Spectroscopy Technology

By: Xiaoli Chu,Yue Huang,Yong-Huan Yun,Xihui Bian

This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic and comprehensive overview the latest progress of chemometric methods including recent scientific research and practical applications are presented. In addition the book also highlights the improvement of classical algorithms and the extension of common strategies. It is therefore useful as a reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments and other related fields.

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Page Count

596

Publisher

Springer Nature

Published Date

ISBN 10

981191625X

ISBN 13

9789811916250

Fog-Enabled Intelligent IoT Systems

By: Yang Yang,Xiliang Luo,Xiaoli Chu,Ming-Tuo Zhou

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Fog-Enabled Intelligent IoT Systems

By: Yang Yang,Xiliang Luo,Xiaoli Chu,Ming-Tuo Zhou

This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized. Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services Presents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledge Outlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services

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Page Count

230

Publisher

Springer Nature

Published Date

ISBN 10

3030231852

ISBN 13

9783030231859

Multi-model Jumping Systems: Robust Filtering and Fault Detection

By: Shuping He,Xiaoli Luan

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Multi-model Jumping Systems: Robust Filtering and Fault Detection

By: Shuping He,Xiaoli Luan

This book focuses on multi-model systems, describing how to apply intelligent technologies to model complex multi-model systems by combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such as observer-based robust fault detection, filtering-based robust fault detection and neural network-based robust fault detection methods. The book also demonstrates the validity and practicability of the theoretical results using simulation and practical examples, like circuit systems, robot systems and power systems. Further, it introduces readers to methods such as finite-time filtering, finite-frequency robust filtering, as well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the modeling, analysis and design of the multi-model systems presented and implement filtering and fault detection analysis for various systems, including circuit, network and mechanical systems.

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Page Count

188

Publisher

Springer Nature

Published Date

ISBN 10

9813364742

ISBN 13

9789813364745

Highlights of the Chinese Exposure Factors Handbook

By: Xiaoli Duan

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Highlights of the Chinese Exposure Factors Handbook

By: Xiaoli Duan

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Solve jigsaw puzzle

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Publisher

Academic Press

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ISBN 10

0128031263

ISBN 13

9780128031261

Book's by Xiaoli Duan

Highlights of the Chinese Exposure Factors Handbook

Highlights of the Chinese Exposure Factors Handbook

Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

Intelligent Fault Diagnosis and Health Assessment for Complex Electro-Mechanical Systems

Novice Mathematics Teachers’ Professional Learning

Novice Mathematics Teachers’ Professional Learning

Chemometric Methods in Analytical Spectroscopy Technology

Chemometric Methods in Analytical Spectroscopy Technology

Fog-Enabled Intelligent IoT Systems

Fog-Enabled Intelligent IoT Systems

Multi-model Jumping Systems: Robust Filtering and Fault Detection

Multi-model Jumping Systems: Robust Filtering and Fault Detection

Highlights of the Chinese Exposure Factors Handbook

Highlights of the Chinese Exposure Factors Handbook

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