Ju Zhang

This book presents an innovative paradigm for synthesizing low-carbon cementitious materials through 100% utilization of industrial solid wastes, incorporating calcium sulphoaluminate and dicalcium silicate, which simultaneously addresses the dual challenges of bulk solid waste disposal and CO2 emission reduction in conventional cement production. The subject of this book is civil engineering material and industrial solid waste management. The research systematically explores the phase reconstruction mechanisms of multi-component solid wastes under controlled calcination conditions, hydration behavior evolution across curing ages with characterization of reaction products and pore structure development, and AC impedance spectroscopy-based hydration monitoring enhanced by ARIMA modeling. It further investigates the regulatory effects of desulfurization gypsum on hydration kinetics and microstructure, seawater-activated hydration pathways yielding hardened pastes with compressive strength, and machine learning-driven performance prediction. Engineering applications are demonstrated through optimized grouting materials exhibiting tailored flowability and interfacial bonding strength, concrete formulations with early-age strength development, and impact-resistant composites capable of absorbing energy. Environmental validation via life-cycle assessment confirms reduced resource and CO2 emissions, establishing a comprehensive framework for sustainable cementitious material development from waste valorization to engineered applications. Given its scope, the book is a valuable reference book for research students and reference resources for researchers, academics, and industrial scientists working in the field of civil engineering material and industrial solid waste management.

Based upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods formedical ultrasonic images, it offers a useful reference guide for their study and research work.

Based upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods formedical ultrasonic images, it offers a useful reference guide for their study and research work.