An Liu – författare

This textbook provides a systematical introduction of Bayesian signal processing from Bayesian parameter estimation, factor graph, and message passing to sparse Bayesian inference (compressive sensing). The book not only provides a systematical introduction of the theory and methods in Bayesian inference, but also discusses advanced Bayesian inference methods recently developed for future wireless systems and its applications in emerging wireless technologies, including massive MIMO, wireless localization, integrated sensing and communications, etc. The authors include a unified framework to incorporate different Bayesian inference methods/algorithms, and a thorough comparison of the pros and cons of different Bayesian inference methods/algorithms and their application scenarios in wireless network and IoT. The authors offer classroom materials such as homework problems, course projects, a solutions manual, PowerPoint slides, and sample code. The book is intended for senior undergraduates, graduate and advanced graduate students and is also suitable for industry researchers.

We asked all workshops to follow a rigid paper selection process, including the procedure to ensure that any Program Committee members are excluded from the paper review process of any paper they are involved with.

This book constitutes the refereed proceedings of six workshops of the 14th International Conference on Web-Age Information Management, WAIM 2013, held in Beidaihe, China, June 2013. The 37 revised full papers are organized in topical sections on the six following workshops: The International Workshop on Big Data Management on Emerging Hardware (HardBD 2013), the Second International Workshop on Massive Data Storage and Processing (MDSP 2013), the First International Workshop on Emergency Management in Big Data Age (BigEM 2013), the International Workshop on Trajectory Mining in Social Networks (TMSN 2013), the First International Workshop on Location-based Query Processing in Mobile Environments (LQPM 2013), and the First International Workshop on Big Data Management and Service (BDMS 2013).

This book identifies the key hydrologic and hydraulic factors which influence the performance of stormwater quality treatment systems such as constructed wetlands and bioretention basins. Mathematical relationships derived using conceptual models underpinned by fundamental hydraulic theory are presented to predict treatment performance. The key highlights of the book will include the identification of the linkages between influential hydrologic and hydraulic factors for constructed wetlands and bioretention basins to support more accurate prediction of treatment performance and effective design of these types of stormwater treatment systems. Furthermore, this book will showcase an innovative approach for using conceptual models to analyze stormwater treatment system performance.

This book presents a detailed analysis in relation to pollutant processes and transport pathways encompassing atmospheric pollutants, atmospheric deposition and build-up on road surfaces of traffic generated key pollutants.

This book presents new findings on intrinsic variability in pollutant build-up and wash-off processes by identifying the characteristics of underlying process mechanisms, based on the behaviour of various-sized particles. The correlation between build-up and wash-off processes is clearly defined using heavy metal pollutants as a case study. The outcome of this study is an approach developed to quantitatively assess process uncertainty, which makes it possible to mathematically incorporate the characteristics of variability in build-up and wash-off processes into stormwater quality models. In addition, the approach can be used to quantify process uncertainty as an integral aspect of stormwater quality predictions using common uncertainty analysis techniques. The information produced using enhanced modelling tools will promote more informed decision-making, and thereby help to improve urban stormwater quality.

This book constitutes the refereed proceedings, presented on the 20th International Conference on Web Information Systems Engineering, WISE 2019 and on The International Workshop on Web Information Systems in the Era of AI, held in Hong Kong and Macau, China.

​This book constitutes revised selected papers from the workshops of the 5th Asia-Pacific Web and Web-Age Information Management International Joint Conference on Web and Big Data, APWeb-WAIM 2021: The Fourth International Workshop on Knowledge Graph Management and Applications, KGMA 2021, The Third International Workshop on Semi-structured Big Data Management and Application, SemiBDMA 2021, and The Second International Workshop on Deep Learning in Large-scale Unstructured Data Analytics, DeepLUDA 2021, held in Guangzhou, China, in August 2021. Due to the COVID-19 pandemic the conference was held online. The 11 papers were thoroughly reviewed and selected from the 28 submissions and present recent research on the theory, design, and implementation of data management systems.

The key highlights of the book include an innovative rainfall classification methodology based on stormwater quality to support the planning and design of stormwater treatment systems. Additionally, this book provides a practical approach to effective stormwater treatment design and development of a methodology for rainfall selection to optimize stormwater treatment based on both its quality and quantity. The case study presented in this book evaluates how pollutant buildup on urban surfaces and stormwater runoff quality varies with a range of catchment characteristics based on different rainfall types. The information presented will be of particular interest to practitioners such as stormwater-treatment designers, urban planners and hydrologic and stormwater-quality model developers since the outcomes presented provide practical approaches to and recommendations for urban stormwater-quality improvement. Readers will benefit from a state-of-the-art critical review of literature on urban stormwater quality, an in-depth discussion on stormwater-quality processes providing guidance for engineering practice such as stormwater treatment design and model development, a comprehensive overview on the application of multivariate data analysis techniques and a paradigm of the integrated use of commercial models and mathematical equations to undertake a comprehensive, urban stormwater-quality investigation.

This book presents comprehensive knowledge regarding the spatial and temporal distributions, influential factors, interactions with coexisting contaminants, migration behavior, and environmental risk posed by microplastics (MPs) in urban waterways.