Fei Wang – författare

This book critically examines the international, geopolitical, policy, institutional, and curricular challenges facing Canadian offshore school programs. Bringing together scholars and practitioners concerned with addressing the pedagogical, organizational, curriculum, and policy aspects of this transnational mode of schooling, it represents a ground-breaking exploration of K-12 offshore schools within the wider contexts of global geopolitics and forms of soft power.The book examines the vulnerability that arises from having to manoeuvre political, social, geopolitical, and economic policy simultaneously in both the host and home-licencing countries. It delves into conflicts within the context of neoliberal economic agendas, neocolonial and geopolitical interests, and social class reproduction within host countries. The book is the first scholarly space that questions how international educational initiatives are affected by emerging global threats, such as the recent Covid pandemic. Additionally, it unpacks the question of citizenship and its intersections with social class, immigration, and sociocultural dynamics. It explores how these intersections forge new paths not only to mobility but also to new configurations of power and new spaces of politics and identity. With a range of reflexive, empirical, and theoretical contributions that cover every aspect of offshore schools, the book reassesses the trope of globalization dominated by Eurocentric perspectives. It decompartmentalizes diverse perspectives and insights on the internationalisation of schooling opportunities, and provides an overview of the challenges and possibilities open to offshore schools in different cultural contexts, making it the first comprehensive body of research on this type of schooling.This book will be of great value to researchers, faculty, scholars, and postgraduate students working across international and comparative education. It will be particularly useful to those interested in the intersections betweeneducation and geopolitically situated forms of soft power.

This book critically examines the international, geopolitical, policy, institutional, and curricular challenges facing Canadian offshore school programs. Bringing together scholars and practitioners concerned with addressing the pedagogical, organizational, curriculum, and policy aspects of this transnational mode of schooling, it represents a ground-breaking exploration of K-12 offshore schools within the wider contexts of global geopolitics and forms of soft power.The book examines the vulnerability that arises from having to manoeuvre political, social, geopolitical, and economic policy simultaneously in both the host and home-licencing countries. It delves into conflicts within the context of neoliberal economic agendas, neocolonial and geopolitical interests, and social class reproduction within host countries. The book is the first scholarly space that questions how international educational initiatives are affected by emerging global threats, such as the recent Covid pandemic. Additionally, it unpacks the question of citizenship and its intersections with social class, immigration, and sociocultural dynamics. It explores how these intersections forge new paths not only to mobility but also to new configurations of power and new spaces of politics and identity. With a range of reflexive, empirical, and theoretical contributions that cover every aspect of offshore schools, the book reassesses the trope of globalization dominated by Eurocentric perspectives. It decompartmentalizes diverse perspectives and insights on the internationalisation of schooling opportunities, and provides an overview of the challenges and possibilities open to offshore schools in different cultural contexts, making it the first comprehensive body of research on this type of schooling.This book will be of great value to researchers, faculty, scholars, and postgraduate students working across international and comparative education. It will be particularly useful to those interested in the intersections betweeneducation and geopolitically situated forms of soft power.

At the heart of modern power electronics converters are power semiconductor switching devices. The emergence of wide bandgap (WBG) semiconductor devices, including silicon carbide and gallium nitride, promises power electronics converters with higher efficiency, smaller size, lighter weight, and lower cost than converters using the established silicon-based devices. However, WBG devices pose new challenges for converter design and require more careful characterization, in particular due to their fast switching speed and more stringent need for protection.Characterization of Wide Bandgap Power Semiconductor Devices presents comprehensive methods with examples for the characterization of this important class of power devices. After an introduction, the book covers pulsed static characterization; junction capacitance characterization; fundamentals of dynamic characterization; gate drive for dynamic characterization; layout design and parasitic management; protection design for double pulse test; measurement and data processing for dynamic characterization; cross-talk consideration; impact of three-phase system; and topology considerations.

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

We are pleased to present this set of peer-reviewed papers from the ?rst MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support. The MICCAI conference has been the ?agship conference for the m- ical imaging community re?ecting the state of the art in techniques of segm- tation, registration, and robotic surgery. Yet, the transfer of these techniques to clinical practice is rarely discussed in the MICCAI conference. To address this gap, we proposed to hold this workshop with MICCAI in London in September 2009. The goal of the workshop was to show the application of content-based retrieval in clinical decision support. With advances in electronic patient record systems, a large number of pre-diagnosed patient data sets are now bec- ing available. These data sets are often multimodal consisting of images (x-ray, CT, MRI), videos and other time series, and textual data (free text reports and structuredclinicaldata). Analyzing thesemultimodalsourcesfordisease-speci?c information across patients can reveal important similarities between patients and hence their underlying diseases and potential treatments.Researchers are now beginning to use techniques of content-based retrieval to search for disea- speci?c information in modalities to ?nd supporting evidence for a disease or to automatically learn associations of symptoms and diseases. Benchmarking frameworks such as ImageCLEF (Image retrieval track in the Cross-Language Evaluation Forum) have expanded over the past ?ve years to include large m- ical image collections for testing various algorithms for medical image retrieval and classi?cation.

The first International Workshop on Machine Learning in Medical Imaging, MLMI 2010, was held at the China National Convention Center, Beijing, China on Sept- ber 20, 2010 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2010. Machine learning plays an essential role in the medical imaging field, including image segmentation, image registration, computer-aided diagnosis, image fusion, ima- guided therapy, image annotation, and image database retrieval. With advances in me- cal imaging, new imaging modalities, and methodologies such as cone-beam/multi-slice CT, 3D Ultrasound, tomosynthesis, diffusion-weighted MRI, electrical impedance to- graphy, and diffuse optical tomography, new machine-learning algorithms/applications are demanded in the medical imaging field. Single-sample evidence provided by the patient’s imaging data is often not sufficient to provide satisfactory performance; the- fore tasks in medical imaging require learning from examples to simulate a physician’s prior knowledge of the data. The MLMI 2010 is the first workshop on this topic. The workshop focuses on major trends and challenges in this area, and works to identify new techniques and their use in medical imaging. Our goal is to help advance the scientific research within the broad field of medical imaging and machine learning. The range and level of submission for this year's meeting was of very high quality. Authors were asked to submit full-length papers for review. A total of 38 papers were submitted to the workshop in response to the call for papers.

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, MLMI 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 44 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers focus on major trends in machine learning in medical imaging aiming to identify new cutting-edge techniques and their use in medical imaging.

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging.

This book constitutes the refereed proceedings of the Second CCF Internet Conference of China, ICoC 2013, held in Zhangjiajie, China, in July 2013. The 24 revised full papers presented were carefully reviewed and selected from 63 submissions. The papers address issues such as future Internet architecture, Internet routing, network security, network management, data center networks, green networks, wireless networks, P2P networks, mobile Internet and the Internet of Things.

This book discusses efforts to control the low-frequency vibration transmission of typical power equipment and pipeline systems of ships, exploring the use of active and passive hybrid vibration isolation and adjustable dynamic vibration absorption technologies. It also proposes an adaptive feed-forward control strategy and studies a distributed feed-forward control hardware system. In addition, the book presents a three-way dynamic vibration absorption theory used to design a pipeline-system adjustable dynamic vibration absorber, which offers a number of advantages, such as compact structure, easy assembly and disassembly, low power consumption, excellent vibration control effect and wide frequency band adjustable ability, etc. This book is a valuable resource for researchers and engineers in the fields of noise and vibration control, active control systems, active vibration isolation and adaptive dynamic vibration absorption.

This book introduces solid and hazardous waste identification technology in environmental management. The author summarizes solid waste and hazardous waste identification research of more than two decades.