This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.
This book presents the most recent state-of-the-art algorithms on robust environmental perception and reliability control for intelligent vehicle systems. By integrating object detection, semantic segmentation, trajectory prediction, multi-object tracking, multi-sensor fusion, and reliability control in a systematic way, this book is aimed at guaranteeing that intelligent vehicles can run safely in complex road traffic scenes. Adopts the multi-sensor data fusion-based neural networks to environmental perception fault tolerance algorithms, solving the problem of perception reliability when some sensors fail by using data redundancy. Presents the camera-based monocular approach to implement the robust perception tasks, which introduces sequential feature association and depth hint augmentation, and introduces seven adaptive methods. Proposes efficient and robust semantic segmentation of traffic scenes through real-time deep dual-resolution networks and representation separation of vision transformers. Focuses on trajectory prediction and proposes phased and progressive trajectory prediction methods that is more consistent with human psychological characteristics, which is able to take both social interactions and personal intentions into account. Puts forward methods based on conditional random field and multi-task segmentation learning to solve the robust multi-object tracking problem for environment perception in autonomous vehicle scenarios. Presents the novel reliability control strategies of intelligent vehicles to optimize the dynamic tracking performance and investigates the completely unknown autonomous vehicle tracking issues with actuator faults.
This is the second edition of an introductory text that describes the principles of invariant measurement; how invariant measurement can be achieved using Rasch measurement theory; and how to use invariant measurement to solve a variety of measurement problems in the social, behavioral, and health sciences. Rasch models are used throughout the text, but brief comparisons of Rasch models to other item response theory (IRT) models are also provided. Written with students in mind, this new edition was class-tested to help maximize accessibility. Chapters open with an introduction and close with a discussion and summary. All chapters have been updated from the first edition, and a new chapter on explanatory Rasch models has been added. Features include numerous examples and exercises to demonstrate the main issues addressed in each chapter. Key terms are defined when first introduced and included in a helpful end-of-text glossary. This book also benefits from online materials which include the data sets used in the book, sample syntax files for running the Facets program, Excel files for creating item and person response functions, and links to related websites. This book will act as a supplementary text for graduate or advanced undergraduate courses on measurement or test theory, IRT, scaling theory, psychometrics, advanced measurement techniques, research methods, or evaluation research taught in education, psychology, and other social and health sciences. It will also appeal to practitioners and researchers in these fields who develop or use scales and instruments. Only a basic mathematical level is required, including a basic course in statistics, ensuring it is an accessible resource for students and researchers alike.
Can Christian identity and national identity be reconciled? For Christians in China, this question is particularly fraught. While Sinicization offers the indigenous church one path forward, it fails to provide a tenable solution for believers unwilling to submit their love of God under love of country. Dr. Jue Wang explores an alternative roadmap for Chinese Christian identity in the writings of Zhang Yijing. The editor of True Light, a Chinese Baptist publication, Zhang was also a Chinese patriot, Confucian, and life-long proponent of science and reason. Utilizing the lens of identity studies, Dr. Wang examines Zhang’s process of reconciling faith and culture in his quest to be both authentically Christian and authentically Chinese. This study offers a fascinating glimpse into the modern history of the Chinese church, while uncovering the significance of an often-overlooked Chinese Christian apologist. Zhang’s example offers encouragement and hope for believers around the world seeking to integrate social, cultural, and national identities under the lordship of Christ.
Irreducible to conventional labels usually applied to him, the Tang poet Du Fu (712–770) both defined and was defined by the literary, intellectual, and socio-political cultures of the Song dynasty (960–1279). Jue Chen not only argues in his work that Du Fu was constructed according to particular literary and intellectual agendas of Song literati but also that conventional labels applied to Du Fu do not accurately represent this construction campaign. He also discusses how Du Fu’s image as the greatest poet sheds unique light on issues that can deepen our understanding of the subtleties in the poetic culture of Song China.
He was not a stallion, and he was not a hero. He knew that if he was hungry, he would eat, and if he was thirsty, he would drink. In order to pursue a better life, he had no choice but to work hard to earn money and improve himself. Desire allowed him to improve continuously, but he wanted to subdue his desire until his goal became simple and straightforward: "To achieve this goal, one must kill God, one must kill Buddha.
Criminal reconciliation, a special procedure stipulated in PRC’s 2013 Criminal Procedure Law, allows the alleged perpetrators and victims of certain crimes to resolve criminal cases through reconciliation or mediation. Based on empirical studies on pilot practices of this mechanism in three cities in China, this book argues that criminal reconciliation enables abuses of power and infringement of the parties’ access to justice. This programme further throws light on certain fundamental problems with the wider criminal justice system.
Next-generation high-speed Internet backbone networks will be required to support a broad range of emerging applications which may not only require significant bandwidth, but may also have strict quality of service (QoS) requirements. Furthermore, the traffic from such applications are expected to be highly bursty in nature. For such traffic, the allocation of static fixed-bandwidth circuits may lead to the over-provisioning of bandwidth resources in order to meet QoS requirements. Optical burst switching (OBS) is a promising new technique which attempts to address the problem of efficiently allocating resources for bursty traffic. In OBS, incoming data is assembled into bursts at the edges of the network, and when the burst is ready to be sent, resources in the network are reserved only for the duration of the burst. The reservation of resources is typically made by an out-of-band one-way control message which precedes the burst by some offset time. By reserving resources only for the duration of the burst, a greater degree of utilization may be achieved in the network. This book provides an overview of optical burst switching. Design and research issues involved in the development of OBS networks are discussed, and approaches to providing QoS in OBS networks are presented. Topics include: - Optical burst switching node and network architectures - Burst assembly - Signaling protocols - Contention resolution - Burst scheduling - Quality of service in OBS networks
In Wild Blue Media, Melody Jue destabilizes terrestrial-based ways of knowing and reorients our perception of the world by considering the ocean itself as a media environment—a place where the weight and opacity of seawater transforms how information is created, stored, transmitted, and perceived. By recentering media theory on and under the sea, Jue calls attention to the differences between perceptual environments and how we think within and through them as embodied observers. In doing so, she provides media studies with alternatives to familiar theoretical frameworks, thereby challenging scholars to navigate unfamiliar oceanic conditions of orientation, materiality, and saturation. Jue not only examines media about the ocean—science fiction narratives, documentary films, ocean data visualizations, animal communication methods, and underwater art—but reexamines media through the ocean, submerging media theory underwater to estrange it from terrestrial habits of perception while reframing our understanding of mediation, objectivity, and metaphor.
Image and Video Matting: A Survey provides a comprehensive review of existing image and video matting algorithms and systems, with an emphasis on the advanced techniques that have been recently proposed. Various methods are described and contrasted and finally tested against a uniform set of examples.
Can Christian identity and national identity be reconciled? For Christians in China, this question is particularly fraught. While Sinicization offers the indigenous church one path forward, it fails to provide a tenable solution for believers unwilling to submit their love of God under love of country. Dr. Jue Wang explores an alternative roadmap for Chinese Christian identity in the writings of Zhang Yijing. The editor of True Light, a Chinese Baptist publication, Zhang was also a Chinese patriot, Confucian, and life-long proponent of science and reason. Utilizing the lens of identity studies, Dr. Wang examines Zhang’s process of reconciling faith and culture in his quest to be both authentically Christian and authentically Chinese. This study offers a fascinating glimpse into the modern history of the Chinese church, while uncovering the significance of an often-overlooked Chinese Christian apologist. Zhang’s example offers encouragement and hope for believers around the world seeking to integrate social, cultural, and national identities under the lordship of Christ.
This book presents the most recent state-of-the-art algorithms on robust environmental perception and reliability control for intelligent vehicle systems. By integrating object detection, semantic segmentation, trajectory prediction, multi-object tracking, multi-sensor fusion, and reliability control in a systematic way, this book is aimed at guaranteeing that intelligent vehicles can run safely in complex road traffic scenes. Adopts the multi-sensor data fusion-based neural networks to environmental perception fault tolerance algorithms, solving the problem of perception reliability when some sensors fail by using data redundancy. Presents the camera-based monocular approach to implement the robust perception tasks, which introduces sequential feature association and depth hint augmentation, and introduces seven adaptive methods. Proposes efficient and robust semantic segmentation of traffic scenes through real-time deep dual-resolution networks and representation separation of vision transformers. Focuses on trajectory prediction and proposes phased and progressive trajectory prediction methods that is more consistent with human psychological characteristics, which is able to take both social interactions and personal intentions into account. Puts forward methods based on conditional random field and multi-task segmentation learning to solve the robust multi-object tracking problem for environment perception in autonomous vehicle scenarios. Presents the novel reliability control strategies of intelligent vehicles to optimize the dynamic tracking performance and investigates the completely unknown autonomous vehicle tracking issues with actuator faults.
Image and Video Matting: A Survey provides a comprehensive review of existing image and video matting algorithms and systems, with an emphasis on the advanced techniques that have been recently proposed. Various methods are described and contrasted and finally tested against a uniform set of examples.
This is the second edition of an introductory text that describes the principles of invariant measurement; how invariant measurement can be achieved using Rasch measurement theory; and how to use invariant measurement to solve a variety of measurement problems in the social, behavioral, and health sciences. Rasch models are used throughout the text, but brief comparisons of Rasch models to other item response theory (IRT) models are also provided. Written with students in mind, this new edition was class-tested to help maximize accessibility. Chapters open with an introduction and close with a discussion and summary. All chapters have been updated from the first edition, and a new chapter on explanatory Rasch models has been added. Features include numerous examples and exercises to demonstrate the main issues addressed in each chapter. Key terms are defined when first introduced and included in a helpful end-of-text glossary. This book also benefits from online materials which include the data sets used in the book, sample syntax files for running the Facets program, Excel files for creating item and person response functions, and links to related websites. This book will act as a supplementary text for graduate or advanced undergraduate courses on measurement or test theory, IRT, scaling theory, psychometrics, advanced measurement techniques, research methods, or evaluation research taught in education, psychology, and other social and health sciences. It will also appeal to practitioners and researchers in these fields who develop or use scales and instruments. Only a basic mathematical level is required, including a basic course in statistics, ensuring it is an accessible resource for students and researchers alike.
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale.
With the rapid development of economic globalization and information technology, the field of economic forecasting continues its expeditious advancement, providing business and government with applicable technologies. This book discusses various business intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. It serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.
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