What if your child could walk into any situation - at school, online, or in public - and know exactly what to do?In today's fast-changing world, children face challenges that go far beyond academics. From peer pressure and bullying to online risks and real-world dangers, the ability to think clearly, act confidently, and make smart decisions has never been more important.Raise Street-Smart Kids is a practical, real-world guide designed to help pare...

This book comprehensively and systematically explores the basic theory of industrial culture, putting forward its system structure, expounding its evolution history, unearthing its functional value, and analyzing industrial soft power, industrial spirit, national resources, national industrial images, and industrial culture as an industry. With an aim to reveal the complex relationship between industrial culture and economic development, it has provided new concepts, visions, and paths for...

This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design.Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which a...

Drylands, a home for nearly 2.5 billion people, are highly vulnerable to anthropogenic climate change, and dryland area may expand to 50% of the Earth's surface by 2100. Climate change may aggravate the prevalence of undernutrition and malnutrition because of adverse effects on quantity and quality of food production in these regions. This book takes a holistic approach to sustainable management of drylands to make agriculture drought-resilient. Eminent scientists from around the world sha...

This book focuses on the application of machine learning in slope stability assessment. The contents include: overview of machine learning approaches, the mainstream smart in-situ monitoring techniques, the applications of the main machine learning algorithms, including the supervised learning, unsupervised learning, semi- supervised learning, reinforcement learning, deep learning, ensemble learning, etc., in slope engineering and landslide prevention, introduction of the smart in-situ mon...

The book provides guidance and practical techniques for the CPU design and its implementation. By scheduling a complete CPU design procedure into a series practicing tasks, the book offers a step-by-step process support to the readers for the design of a CPU which can run Unix-like OS (e.g. Linux) kernel. It also covers various design practices and debug skills. The book is suitable for undergraduate and graduate students, lecturers and tutors, as well engineers and practitioners who are i...

Moving Particle Semi-implicit Method: Recent Developments and Applications offers detailed step-by-step guidance for advanced numerical models in the MPS method. With a strong focus on overcoming challenges, such as low improving accuracy and numerical stability, the book also examines the applications of MPS, particularly within nuclear engineering. Beginning with an introduction to grid-based and particle-based numerical methods, the book then reviews the original MPS method. Following c...

Intelligent Sensing and Communications for Internet of Everything introduces three application scenarios of enhanced mobile broadband (eMBB), large-scale machine connection (mMTC) and ultra reliable low latency communication (URLLC). A new communication model, namely backscatter communication (BackCom), intelligent reflector surface (IRS) and unmanned aerial vehicle (UAV) technology in Internet of Everything (IoE), is described in detail. Also focusing on millimeter wave, the book discusse...

This book investigates statistical observables for anomalous and nonergodic dynamics, focusing on the dynamical behaviors of particles modelled by non-Brownian stochastic processes in the complex real-world environment.Statistical observables are widely used for anomalous and nonergodic stochastic systems, thus serving as a key to uncover their dynamics. This study explores the cutting edge of anomalous and nonergodic diffusion from the perspectives of mathematics, computer science...

This book describes and clarifies how certain problems can be resolved in Japan and Asia. For the future, the focus should be on Japan, which can provide "common knowledge" as a public good. The book collects the results of researchers in Japan, China, South Korea, and Indonesia on declining birthrates and aging, rapid technological innovation and societal changes, and recovery from natural disasters.Chapter 1 covers Japanese social welfare system reform and transformation of socia...

The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of graph data learning and structural feature extraction. Scene understanding is one of the research focuses in computer vision and image processing, which realizes semantic segmentation and object recognition of image or video. In this book, the algorithm, system design and performance evalu...

The reach of algebraic curves in cryptography goes far beyond elliptic curve or public key cryptography yet these other application areas have not been systematically covered in the literature. Addressing this gap, Algebraic Curves in Cryptography explores the rich uses of algebraic curves in a range of cryptographic applications, such as secret sh