Grammaticalization theory has played a major role in the developments in language typology and functional linguistics during the last three decades. Grammaticalization phenomena show that grammars evolve in a continuous way following cross-linguistically established diachronic paths. The contributions in this book shed new light on some central issues in grammaticalization theory such as the (uni-)directionality debate, the relation between grammaticalization and constructions, and the concept of multiple grammaticalization. Evidence for grammaticalization in several domains of grammar is presented: adpositions, numeral classifiers, honorifics, agreement markers, applicatives, reciprocals, delexical verbs, auxiliaries, relative clauses, and discourse particles. The empirical investigations come from several languages, among them many understudied languages such as Nanafwe, Maltese, Manambu, Chibchan and Siouan languages.

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining. This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic - the security of graph data mining - and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.

Language description enriches linguistic theory and linguistic theory sharpens language description. Based on evidence from the world's languages, functional-typological linguistics has established a number of thorough generalizations about the nature of linguistic categorizations and their manifestation in natural languages. Empirical studies in these fields of linguistics have contributed to sharpen linguistic theory in several respects. This volume is a collection of 19 contributions from outstanding scholars in the field of functional-typological linguistics that address fundamental issues in the study of language, such as the nature of linguistic categories, the constitution of functional domains, and the form of cross-linguistic continua. Empirical data from individual languages and from typological samples are investigated in order to achieve generalizations about the properties of human grammar(s). Several grammatical phenomena are dealt with including tonal systems, person distinctions, modalities, reciprocity, complex predicates, grammatical relations, word order, clause linkage, and information structure. The structure of the book illustrates the fundamental importance of the analytical distinction between the onomasiological and the semasiological approach to language and language diversity. Both perspectives are integrated in most papers with a dominant focus on either the former or the latter perspective.

Magnetorheological Fluid Technology: Applications in Vehicle Systems compiles the authors' recent work involving the application of magnetorheological (MR) fluids and other smart materials in vehicles. It collects concepts that have previously been scattered in peer-reviewed international journals. After introducing the physical phenomena and properties of MR fluids, the book presents control methodologies for effectively controlling vehicle devices and systems featuring MR fluids. The authors also introduce the hysteresis identification of MR fluid and discuss its application through the adoption of the Preisach and polynomial models. They then describe the application of MR-equipped suspension systems in passenger, tracked, and railway vehicles; the application of MR brake systems in passenger vehicles, motorcycles, and bicycles; and the application of several MR technologies in heavy vehicles. The final chapter explores the use of haptic technologies for easily operating vehicle instruments and achieving optimal gear shifting with accelerator pedals. Assuming some technical and mathematical background in vibration, dynamics, and control, this book is designed for scientists and engineers looking to create new devices or systems for vehicles featuring controllable MR fluids. It is also suitable for graduate students who are interested in the dynamic modeling and control methodology of vehicle devices and systems associated with MR fluid technology.

Magnetorheological Fluid Technology: Applications in Vehicle Systems compiles the authors' recent work involving the application of magnetorheological (MR) fluids and other smart materials in vehicles. It collects concepts that have previously been scattered in peer-reviewed international journals.

After introducing the physical phenomena and properties of MR fluids, the book presents control methodologies for effectively controlling vehicle devices and systems featuring MR fluids. The authors also introduce the hysteresis identification of MR fluid and discuss its application through the adoption of the Preisach and polynomial models. They then describe the application of MR-equipped suspension systems in passenger, tracked, and railway vehicles; the application of MR brake systems in passenger vehicles, motorcycles, and bicycles; and the application of several MR technologies in heavy vehicles. The final chapter explores the use of haptic technologies for easily operating vehicle instruments and achieving optimal gear shifting with accelerator pedals.

Assuming some technical and mathematical background in vibration, dynamics, and control, this book is designed for scientists and engineers looking to create new devices or systems for vehicles featuring controllable MR fluids. It is also suitable for graduate students who are interested in the dynamic modeling and control methodology of vehicle devices and systems associated with MR fluid technology.

The International Conference on Electronics, Information Technology and Intellectualization (ICEITI2014) was dedicated to build a high-level international academic communication forum for international experts and scholars. This fi rst conference of an annual series was held in Pengcheng, Shenzhen, China 16-17 August 2014. Many prestigious experts and scholars from all around the world have taken part in discussing and sharing new research on the topic of Electrical and Electronic Engineering, Computers and Information technology, Mechatronics Technology and Intellectualization. The International Conference on Electronics, Information Technology and Intellectualization (ICEITI2014) was hosted by the Hong Kong Information Science and Engineering Research Center, and supported by Inha University, Pusan National University, South Korea.

Currently, many smart materials exhibit one or multifunctional capabilities that are being effectively exploited in various engineering applications, but these are only a hint of what is possible. Newer classes of smart materials are beginning to display the capacity for self-repair, self-diagnosis, self-multiplication, and self-degradation. Ultimately, what will make them practical and commercially viable are control devices that provide sufficient speed and sensitivity. While there are other candidates, piezoelectric actuators and sensors are proving to be the best choice.
Piezoelectric Actuators: Control Applications of Smart Materials details the authors? cutting-edge research and development in this burgeoning area. It presents their insights into optimal control strategies, reflecting their latest collection of refereed international papers written for a number of prestigious journals.

Piezoelectric materials are incorporated in devices used to control vibration in flexible structures. Applications include beams, plates, and shells; sensors and actuators for cabin noise control; and position controllers for structural systems such as the flexible manipulator, engine mount, ski, snowboard, robot gripper, ultrasonic motors, and various type of sensors including accelerometer, strain gage, and sound pressure gages.

The contents and design of this book make it useful as a professional reference for scientists and practical engineers who would like to create new machines or devices featuring smart material actuators and sensors integrated with piezoelectric materials. With that goal in mind, this book:

• Describes the piezoelectric effect from a microscopic point of view
• Addresses vibration control for flexible structures and other methods that use active mount
• Covers control of flexible robotic manipulators
• Discusses application to fine-motion and hydraulic control systems
• Explores piezoelectric shunt technology

This book is exceptionally valuable as a reference for professional engineers working at the forefront of numerous industries. With its balanced presentation of theory and application, it will also be of special interest to graduate students studying control methodology.

The International Conference on Electronics, Information Technology and Intellectualization (ICEITI2014) was dedicated to build a high-level international academic communication forum for international experts and scholars. This fi rst conference of an annual series was held in Pengcheng, Shenzhen, China 16-17 August 2014. Many prestigious experts and scholars from all around the world have taken part in discussing and sharing new research on the topic of Electrical and Electronic Engineering, Computers and Information technology, Mechatronics Technology and Intellectualization. The International Conference on Electronics, Information Technology and Intellectualization (ICEITI2014) was hosted by the Hong Kong Information Science and Engineering Research Center, and supported by Inha University, Pusan National University, South Korea.

Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining. This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic - the security of graph data mining - and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.

2D Materials for Nanophotonics presents a detailed overview of the applications of 2D materials for nanophotonics, covering the photonic properties of a range of 2D materials including graphene, 2D phosphorene and MXenes, and discussing applications in lighting and energy storage. This comprehensive reference is ideal for readers seeking a detailed and critical analysis of how 2D materials are being used for a range of photonic and optical applications.

Understanding how uncertainty effects the dynamics and behavior of an organization is a critical aspect of system design. Models and methods that take uncertainty into account can lead to significant reductions in cost. This book investigates the use of stochastic optimization models for a generalized assignment problem (GAP) with uncertain resource capacity and a shift planning and scheduling problem (SPSP) with unknown demand. For the GAP, the first stage decisions correspond to an assignment of jobs to agents. Penalties are incurred when the assignments do not permit all demand to be satisfied. For the SPSP, the number of full-time and part-time employees, as well as the number of full- time shifts by type, must be specified before the demand is known. In the second stage, feasibility is addressed by allocating overtime and calling in temporary workers to handle spikes in the mail volume. This book contains the development and analysis of stochastic integer models for the GAP and the SPSP and the estimation of the demand distributions from historical data. To solve the associated stochastic integer problems, the column generation algorithms are developed.