Dan Zhang Books

This book introduces the state-of-the-art technologies in mechatronics, robotics, and MEMS devices in order to improve their methodologies. It provides a follow-up to „Advanced Mechatronics and MEMS Devices“ (2013) with an exploration of the most up-to-date technologies and their applications, shown through examples that give readers insights and lessons learned from actual projects. Researchers on mechatronics, robotics, and MEMS as well as graduate students in mechanical engineering will find chapters on: Fundamental design and working principles on MEMS accelerometers Innovative mobile technologies Force/tactile sensors development Control schemes for reconfigurable robotic systems Inertial microfluidics Piezoelectric force sensors and dynamic calibration techniques ... And more. Authors explore applications in the areas of agriculture, biomedicine, advanced manufacturing, and space. Micro-assembly for current and future industries is also considered, as well as the design and development of micro and intelligent manufacturing.

Focusing on the theory and algorithms of parallel robot-based machine tools, this book presents innovative mechanical architectures and explores various approaches in the field. It includes detailed case studies that illustrate the practical application of these concepts, making it a valuable resource for understanding advancements in robotics and machine tool technology.

Focusing on the programmer's perspective, this book offers a unique approach to learning R, catering to those familiar with other programming languages. It is structured into four parts covering R fundamentals, server usage, databases, and big data, along with appendices for Java installation, various databases, and Hadoop. Designed as a reference, the chapters can be read in any order, making it accessible for newcomers aiming for a comprehensive understanding of R.

The book delves into R applications specifically tailored for quantitative investment, featuring practical cases that cover essential topics such as portfolio optimization and risk management. It serves as a valuable resource for those looking to apply R programming to enhance investment strategies and manage financial risks effectively.

Advanced topics covered include R core programming, object-oriented programming, parallel computing, and spatial data types. The author guides readers in integrating established methodologies from traditional programming into R. Additionally, the book demonstrates how to interface R with languages like C and Java, making it a valuable resource for those looking to enhance their programming skills and leverage R's capabilities in various applications.