Jia Li – författare

In an age of information technology, the issues of distributing and utilizing images efficiently and effectively are of substantial concern. Solutions to many of the problems arising from these issues are provided by techniques of image processing. Two of these, segmentation and compression, are discussed in this book. The authors present an algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs). Formulas for estimating the model according to the maximum likelihood criterion are derived from the EM algorithm. To segment an image, optimal classes are searched jointly for all the blocks by the maximum a posteriori (MAP) rule. The 2-D HMM is extended to multiresolution so that more context information is exploited in classification and fast progressive segmentation schemes can be formed naturally. The second issue addressed in the book is the design of joint compression and classification systems using the 2-D HMM and vector quantization.

With the recent developments in the field of advanced materials, there exists a need for a systematic summary and detailed introduction of the modeling and simulation methods for these materials. This book provides a comprehensive description of the mechanical behavior of advanced materials using modeling and simulation. It includes materials such as high-entropy alloys, high-entropy amorphous alloys, nickel-based superalloys, light alloys, electrode materials, and nanostructured reinforced composites.Reviews the performance and application of a variety of advanced materials and provides the detailed theoretical modeling and simulation of mechanical propertiesCovers the topics of deformation, fracture, diffusion, and fatigueFeatures worked examples and exercises that help readers test their understandingThis book is aimed at researchers and advanced students in solid mechanics, material science, engineering, material chemistry, and those studying the mechanics of materials.

With the recent developments in the field of advanced materials, there exists a need for a systematic summary and detailed introduction of the modeling and simulation methods for these materials. This book provides a comprehensive description of the mechanical behavior of advanced materials using modeling and simulation. It includes materials such as high-entropy alloys, high-entropy amorphous alloys, nickel-based superalloys, light alloys, electrode materials, and nanostructured reinforced composites.Reviews the performance and application of a variety of advanced materials and provides the detailed theoretical modeling and simulation of mechanical propertiesCovers the topics of deformation, fracture, diffusion, and fatigueFeatures worked examples and exercises that help readers test their understandingThis book is aimed at researchers and advanced students in solid mechanics, material science, engineering, material chemistry, and those studying the mechanics of materials.

Multilingual Crisis Communication is the first book to explore the lived experiences of linguistic minorities in crisis-affected settings in the Global South, particularly during the Covid-19 pandemic. China has been selected as a case of inquiry for multilingual crisis communication because of its high level of linguistic diversity. Taking up critical sociopolitical approaches, this book conceptualizes multilingual crisis communication from three dimensions: identifying communication barriers, engaging communication repertoires, and empowering communication justice.Comprising eight main chapters, along with an introduction and an epilogue, this edited book is divided into three parts in terms of the demographic and social conditions of linguistic minorities, as indigenous, migrant, and those with communicative disabilities. This book brings together a range of critical perspectives of sociolinguistic scholars, language teachers, and public health workers. Each team of authors includes at least one member of the research community with many years of field work experience, and some of them belong to ethnic minorities. These studies can generate new insights for enhancing the accessibility and effectiveness of multilingual crisis communication.This book will be of interest to academics and postgraduate students in the fields of multilingualism, intercultural communication, translation and interpreting studies, and public health policy.

Multilingual Crisis Communication is the first book to explore the lived experiences of linguistic minorities in crisis-affected settings in the Global South, particularly during the Covid-19 pandemic. China has been selected as a case of inquiry for multilingual crisis communication because of its high level of linguistic diversity. Taking up critical sociopolitical approaches, this book conceptualizes multilingual crisis communication from three dimensions: identifying communication barriers, engaging communication repertoires, and empowering communication justice.Comprising eight main chapters, along with an introduction and an epilogue, this edited book is divided into three parts in terms of the demographic and social conditions of linguistic minorities, as indigenous, migrant, and those with communicative disabilities. This book brings together a range of critical perspectives of sociolinguistic scholars, language teachers, and public health workers. Each team of authors includes at least one member of the research community with many years of field work experience, and some of them belong to ethnic minorities. These studies can generate new insights for enhancing the accessibility and effectiveness of multilingual crisis communication.This book will be of interest to academics and postgraduate students in the fields of multilingualism, intercultural communication, translation and interpreting studies, and public health policy.

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.Machine Learning and Statistical Modeling Approaches to Image Retrieval is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and electrical engineering.

In the current age of information technology, the issues of distributing and utilizing images efficiently and effectively are of substantial concern. Solutions to many of the problems arising from these issues are provided by techniques of image processing, among which segmentation and compression are topics of this book.Image segmentation is a process for dividing an image into its constituent parts. For block-based segmentation using statistical classification, an image is divided into blocks and a feature vector is formed for each block by grouping statistics of its pixel intensities. Conventional block-based segmentation algorithms classify each block separately, assuming independence of feature vectors.Image Segmentation and Compression Using Hidden Markov Models presents a new algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs). Formulas for estimating the model according to the maximum likelihood criterion are derived from the EM algorithm. To segment an image, optimal classes are searched jointly for all the blocks by the maximum a posteriori (MAP) rule. The 2-D HMM is extended to multiresolution so that more context information is exploited in classification and fast progressive segmentation schemes can be formed naturally.The second issue addressed in the book is the design of joint compression and classification systems using the 2-D HMM and vector quantization. A classifier designed with the side goal of good compression often outperforms one aimed solely at classification because overfitting to training data is suppressed by vector quantization.Image Segmentation and Compression Using Hidden Markov Models is an essential reference source for researchers and engineers working in statistical signal processing or image processing, especially those who are interested in hidden Markov models. It is also of value to those working on statistical modeling.

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.

This book covers fundamental principles and computational approaches relevant to visual saliency computation. and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications.

Die Rechtsprechung in China ist im stetigen Wandel. Gerade die Eingliederung in die WTO vor - nigen Jahren machte wesentliche Änderungen notwendig. Im Westen wird das chinesische Rech- system schon alleine wegen der Vieldeutigkeit der chinesischen Sprache oft als sehr schwer verstä- lich angesehen, was durch die in der Vergangenheit auch vorhandene erschwerte Durchsetzung von Rechten in China begünstigt wurde. Jedoch waren bisher im deutschsprachigen Raum keine aktuellen Bücher und Informationen über das chinesische Steuersystem verfügbar und dies, obwohl deutsche Firmen, die in China aktiv w- den möchten, dringend darauf angewiesen sind, ebenso wie Steuerberater, die ihre Kunden korrekt beraten möchten. Im vorliegenden Buch möchten die deutsch-chinesischen Autoren der deutschen Chinaberatung China Expert Consulting GmbH diese Problematik aufnehmen und zeigen, dass es durchaus m- lich ist, gerade die komplexen chinesischen Steuern in übersichtlicher Form darzustellen, ohne auf Details verzichten zu müssen. Dabei wurde darauf geachtet, dass sowohl die Bedeutung der chi- sischen Gesetze korrekt ins Deutsche übertragen wurde als auch, dass die Beschreibung nicht zu komplex erscheint. Hierdurch bietet sich das Buch als Grundlagenwerk sowohl für deutsche Steu- berater an, welche ihre Mandanten zu China beraten möchten, als auch für Praktiker und Manager, da die wichtigsten Berechnungen alle mit Beispielen unterlegt sind. Im Rahmen der Steuern wird auch kurz auf das chinesische Sozialversicherungssystem eingeg- gen. Wir hoffen, dass Ihnen dieses Buch von Nutzen sein wird. Verbesserungsvorschläge sind natürlich jederzeit willkommen. Wir bedanken uns bei allen Beteiligten in China, welche zum Erfolg dieses Buches beigetragen - ben.

The papers cover the following topics: emergency response, mobile internet security, IoT security, cloud security, threat intelligence analysis, vulnerability, artificial intelligence security, IPv6 risk research, cybersecurity policy and regulation research, big data analysis and industrial security.

This timely book covers the basic concepts of the dynamics of epidemic disease, presenting various kinds of models as well as typical research methods and results. It introduces the latest results in the current literature, especially those obtained by highly rated Chinese scholars. A lot of attention is paid to the qualitative analysis of models, the sheer variety of models, and the frontiers of mathematical epidemiology. The process and key steps in epidemiological modeling and prediction are highlighted, using transmission models of HIV/AIDS, SARS, and tuberculosis as application examples.