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This book investigates decentralized trust-based privacy-preserving solutions in smart cities. The authors first present an overview of smart cities and privacy challenges and discuss the benefits of adopting decentralized trust models in achieving privacy preservation. The authors then give a comprehensive review of fundamental decentralized techniques and privacy-preserving cryptographic techniques. The next four chapters each detail a decentralized trust-based scheme, focusing respectively on privacy-preserving identity management, cross-domain authentication, data analytics, and data search, in specific use cases. Finally, the book explores open issues and outlines future research directions in the field of decentralized privacy preservation. Discusses benefits and challenges of applying decentralized trusts in smart cities Provides scheme designs and security analysis for use cases in smart cities, offering insights into applications Includes cryptographic knowledge accompanied by practical algorithm and protocol implementations.

Cooperating objects (Computer systems). --- Telecommunication. --- Data protection --- Cyber-Physical Systems. --- Communications Engineering, Networks. --- Privacy. --- Law and legislation.

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This new volume serves to focus and clarify the debate surrounding long-distance reflexives by examining the role of syntax, semantics, and pragmatics/discourse in the use of long-distance reflexives in a variety of languages. Graduate students, upper class undergraduates, theoretical linguists, computational linguists, psycholinguists, and linguists at large will find this an important tool. Syntacticians, as well as specialists in language acquisition and processing, will find the volume central to their work. The book is also of great value to those interested in Asian languages, especially Chinese. It will serve as primary reading material for seminars on anaphora. Among its key features, it: discusses a broad range of questions about syntactic categories; and presents a number of theoretical frameworks.

Grammar --- Pragmatics --- Grammar, Comparative and general --- Government-binding theory (Linguistics) --- Constructions réfléchies (Linguistique) --- Théorie du liage et du gouvernement (Linguistique) --- Reflexives --- Anaphora (Linguistics) --- -Comparative grammar --- Grammar, Philosophical --- Grammar, Universal --- Language and languages --- Philosophical grammar --- Linguistics --- Philology --- Binding theory (Linguistics) --- Government and binding (Linguistics) --- Generative grammar --- Cross-reference (Linguistics) --- Reference (Linguistics) --- Grammar, Comparative --- -Reflexives --- -Binding theory (Linguistics) --- Comparative grammar --- Constructions réfléchies (Linguistique) --- Théorie du liage et du gouvernement (Linguistique) --- Reflexives (Grammar) --- Reflexivity (Grammar) --- Reflexivization (Grammar) --- Pronoun --- Reciprocals --- Verb --- Grammar, syntax. --- Language Arts & Disciplines --- Medical --- Reflexives. --- Grammar & Punctuation. --- Audiology & Speech Pathology.

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Chinese language.

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Chronic diseases --- Demographic surveys. --- Health surveys. --- Demographic surveys. --- Health surveys. --- Measurement.

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This research tried to use Convolutional Neural Networks (CNN) to predict partition decisions for AV1 intra frame encoding. The proposed method treats the 10 partition modes as a multiclass classification problem. The proposed method can achieve an average time reduction of 49% for AV1 intra frame encoding with only 4.95 % loss of compression efficiency and 0.05 dB quality loss.