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Functionally Graded Porous Structures: Applied Methods in Mechanical Performance Evaluation, Machine Learning Aided Analysis, and Additive Manufacturing presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. The book is divided into three key sections. The first section begins with an introduction to functionally graded porous structures and details the effects of graded porosities on bending, buckling, and vibration behaviours within the framework of Timoshenko beam theory, and first-order shear deformable plate theory. The second section is focused on the usage of machine learning techniques for smart structural analysis of porous components as an evolution from traditional engineering, methods. The third section focuses on additive manufacturing of structures with graded porosities for end-user applications. The book follows a clear path from design and analysis to fabrication and applications. Readers will find extensive knowledge and examples of functionally graded porous structures that are suitable for innovative research and market needs, with applications relevant to a diverse range of industrial fields, including mechanical, structural, aerospace, energy, and biomedical engineering. - Provides a comprehensive picture of novel porous materials and advanced lightweight structural technologies that are applicable to a diverse range of industrial sectors - Updated with the most recent advances in the field of porous structures - Goes beyond traditional structural aspects and covers novel evaluation strategies, machine learning aided analysis, and additive manufacturing - Covers weight management strategies for structural components to achieve multifunctional purposes - Addresses key issues in the design of lightweight structures, offering significant environmental benefits

The book focuses on control and communication for demand response with thermostatically controlled loads. This is achieved by providing in-depth study on a number of major topics such as load control, optimization strategies, communication network model, resource allocation methods, system design, implementation, and performance evaluation. Two major cost modeling methods are established in detail, which are cost modeling based on Taguchi Loss Function and cost modeling based on regulation errors. The comprehensive and systematic treatment of issues in optimization strategies and resource allocation for demand response are one of the major features of the book, which is particularly suited for readers who are interested to learn solutions in control and communication. The book can benefit researchers, engineers, and graduate students in fields of control theory, automation, communication engineering and economics, etc.

'This book is about lignin utilization strategies from processing to applications'--

Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures.. Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.

Science and engineering disciplines are provoking fundamental and applied discoveries in numerous applications, such as to deeply understand brain functions, precisely diagnose diseases, and to then properly address these. The later advances call upon biomedical integrated circuits and systems (BioCAS) to provide needed research tools. In fact, with the increase of the personalized healthcare market and BioCAS featuring wearability, implantability and intelligence, it has become significantly more important to address these emerging trends. These circuits and systems deal with various signals and images such as electrophysiological, electrochemical, optical, and magnetic, which require various front-end circuits to acquire signals and usually cancel out the noise. With the booming artificial intelligence methods, these biosignals became mandatory for the monitoring, detection, diagnosis and even prediction of diseases for example. This monograph focusses on the current research activities and emerging trends that relate to the above-mentioned functionalities, and it should be of interest to students, researchers and engineers active in the fields related to Circuits and Systems for Biomedical Engineering. Section I is a summary of the main BioCAS research interests, and in Section II various biosignal acquisition circuits techniques are discussed. In Section III the authors cover circuits for biosignal processing, with emphasis on the newly emerging artificial intelligence. Sections IV and V contain a review of wireless power harvesting and communication circuits. Sections VI and VII represent circuits that help miniaturizing biomedical imaging systems, and other systems intended for the detection of chemical and molecular assays. Section VIII describes one of the main neural prostheses intended to address vision disorders, whilst the last section reviews electrode-tissue interfaces that essentially bridge the circuits and systems with the human body.

A fundamental introduction to the delopment of random signal processing with an emphasis on analysis. Linear transformation, nonlinear transformation, spectral analysis of stationary and narrow band random process are discussed in detail. With abundant exercises, this book is an essential reference for graduate students, scientists and practitioners in electronical engineering and signal processing.

The two-volume set LNCS 8935 and 8936 constitutes the thoroughly refereed proceedings of the 21st International Conference on Multimedia Modeling, MMM 2015, held in Sydney, Australia, in January 2015. The 49 revised regular papers, 24 poster presentations, were carefully reviewed and selected from 189 submissions. For the three special session, a total of 18 papers were accepted for MMM 2015. The three special sessions are Personal (Big) Data Modeling for Information Access and Retrieval, Social Geo-Media Analytics and Retrieval and Image or video processing, semantic analysis and understanding. In addition, 9 demonstrations and 9 video showcase papers were accepted for MMM 2015. The accepted contributions included in these two volumes represent the state-of-the-art in multimedia modeling research and cover a diverse range of topics including: Image and Video Processing, Multimedia encoding and streaming, applications of multimedia modelling and 3D and augmented reality.

This Springer Brief provides a new approach to prevent user spoofing by using the physical properties associated with wireless transmissions to detect the presence of user spoofing. The most common method, applying cryptographic authentication, requires additional management and computational power that cannot be deployed consistently. The authors present the new approach by offering a summary of the recent research and exploring the benefits and potential challenges of this method. This brief discusses the feasibility of launching user spoofing attacks and their impact on the wireless and sensor networks. Readers are equipped to understand several system models. One attack detection model exploits the spatial correlation of received signal strength (RSS) inherited from wireless devices as a foundation. Through experiments in practical environments, the authors evaluate the performance of the spoofing attack detection model. The brief also introduces the DEMOTE system, which exploits the correlation within the RSS trace based on each device's identity to detect mobile attackers. A final chapter covers future directions of this field. By presenting complex technical information in a concise format, this brief is a valuable resource for researchers, professionals, and advanced-level students focused on wireless network security.

When thinking about the culture and economy of East Asia, many attribute to the region a range of dispositions, including a preference for consensus and social harmony, loyalty and respect towards superiors and government, family values, collectivism, and communitarianism. Affect is central to these concepts, and yet the role of affect and its animated or imagined potentialities in the political economy of East Asia has not been systematically studied. The book examines the affective dimensions of power and economy in East Asia. It illuminates the dynamics of contemporary governance, and ways of overcoming common Western assumptions about East Asian societies. Here, affect is defined as felt quality that gives meaning and imagination to social, political, and economic processes, and as this book demonstrates, it can provide an analytical tool for a nuanced and enriched analysis of social, political, and economic transformations in East Asia. Through ethnographic and media analyses, this book provides a framework for analyzing emerging phenomena in East Asia, such as happiness promotion, therapeutic governance, the psychologization of social issues, the rise of self-help genres, transnational labor migration, new ideologies of gender and the family, and mass-mediated affective communities. Through the lens of affect theory, the contributors explore changing political configurations, economic engagements, modes of belonging, and forms of subjectivity in East Asia, and use ethnographic research and discourse analysis to illustrate the affective dimensions of state and economic power and the way affect informs and inspires action.This interdisciplinary book will be of great interest to students and scholars of Asian studies, anthropology, sociology, media studies, history, cultural studies, and gender and women's studies.

Embodied theories claim that semantic representations are grounded in sensorimotor systems, but the contribution of sensorimotor brain areas in representing meaning is still controversial. One current debate is whether activity in sensorimotor areas during language comprehension is automatic. Numerous neuroimaging studies reveal activity in perception and action areas during semantic processing that is automatic and independent of context, but increasing findings show that involvement of sensorimotor areas and the connectivity between word-form areas and sensorimotor areas can be modulated by contextual information. Context Effects on Embodied Representation of Language Concepts focuses on these findings and discusses the influences from word, phrase, and sentential contexts that emphasize either dominant conceptual features or non-dominant conceptual features. - Reviews the findings about contextual modularity - Clarifies the invariant and flexible features of embodied lexical-semantic processing

Selected, peer reviewed papers from the 2012 International Conference on Energy and Environmental Protection (ICEEP 2012), June 23-24, 2012, Hohhot, China

The Third International Workshop on Medical Imaging and Augmented Reality, MIAR 2006, was held in Shanghai, China at the Regal International East Asia Hotel during August 17-18, 2006. The goal of MIAR 2006 was to bring together researchers in medical image computing and intervention to present the state-of-the-art devel- ments in this ever-growing research area. The meeting consisted of a single track of oral/poster presentations, with each session led by an invited lecture from our dist- guished international faculty members. For MIAR 2006, we received 87 full subm- sions, which were subsequently reviewed by up to 5 reviewers, resulting in the acc- tance of 45 full papers included in this volume. For this workshop, we also included four papers from the invited speakers covering shape modeling, fMRI analysis, and study of cerebral connectivity and plasticity. Running such a workshop requires dedication, and we appreciate the commitment of the MIAR 2006 Programme Committee and reviewers who worked to a tight de- line in putting together this workshop. We would also like to thank members of the local Organizing Committee, who have been working so hard behind the scenes to make MIAR 2006 a great success. It was our great pleasure to welcome this year's MIAR attendees to Shanghai, which is the largest base of Chinese industrial technology, an important seaport and China's largest commercial and financial center.