Advances in Shipping Data Analysis and Modeling
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The third edition of this well-used textiles workbook closely matches the new Study Design. The focus of the workbook is on developing and refining key skills, through relevant and engaging activities. Students will buy one book or the other (Nelson Product Design and Technology VCE Units 1-4 Workbook: Wood, Metal, Plastics) and some of the pages are designed to be directly used as part of their folio. This workbook reinforces the student book material, and gives it practical application.
Nelson Systems Engineering VCE Units 1-4 has been thoroughly updated and produced in full colour for better student learning. This comprehensive and useful resource book has two new chapters on digital manufacturing and control systems, and many more photos throughout.
Table of Contents
Introduction The systems engineering process Syllabus outcomes guide 1 Understanding systems Case study 1: Water treatment and recycling system 2 Technology systems in society Case study 2: Manufacturing and technology 3 Energy systems Case study 3: Solar house 4 Mechanical systems 5 Electrotechnology 6 Digital manufacturing 7 Control systems Case study 4: Remote control systems 8 Testing engineering systems Case study 5: Testing flight data systems 9 The systems engineering process Case study 6: Vehicle style and design 10 Production: Equipment, safety and materials Revision tasks A – Z Systems terminology Index
The first edition of “Microstrip Filters for RF/Microwave Applications” was published in 2001. Over the years the book has been well received and is used extensively in both academia and industry by microwave researchers and engineers. From its inception as a manuscript the book is almost 8 years old. While the fundamentals of filter circuits have not changed, further innovations in filter realizations and other applications have occurred with changes in the technology and use of new fabrication processes, such as the recent advances in RF MEMS and ferroelectric films for tunable filters; the use of liquid crystal polymer (LCP) substrates for multilayer circuits, as well as the new filters for dual-band, multi-band and ultra wideband (UWB) applications.
Although the microstrip filter remains as the main transmission line medium for these new developments, there has been a new trend of using combined planar transmission line structures such as co-planar waveguide (CPW) and slotted ground structures for novel physical implementations beyond the single layer in order to achieve filter miniaturization and better performance.
Also, over the years, practitioners have suggested topics that should be added for completeness, or deleted in some cases, as they were not very useful in practice.
In view of the above, the authors are proposing a revised version of the “Microstrip Filters for RF/Microwave Applications” text and a slightly changed book title of “Planar Filters for RF/Microwave Applications” to reflect the aforementioned trends in the revised book.
About the Author
Jia-Sheng Hong, PhD, is a senior faculty member in the Department of Electrical, Electronic, and Computer Engineering at Heriot-Watt University, Edinburgh, United Kingdom, where he leads a research group on advanced RF/microwave device technologies. Previously, he was involved with microwave applications of high-temperature superconductors, EM modeling, and circuit optimization at the University of Birmingham.
The Seventh Edition of Statistical Quality Control provides a comprehensive treatment of the major aspects of using statistical methodology for quality control and improvement. Both traditional and modern methods are presented, including state-of-the-art techniques for statistical process monitoring and control and statistically designed experiments for process characterization, optimization, and process robustness studies. The seventh edition continues to focus on DMAIC (define, measure, analyze, improve, and control–the problem-solving strategy of six sigma) including a chapter on the implementation process. Additionally, the text includes new examples, exercises, problems, and techniques. Statistical Quality Control is best suited for students in engineering, statistics, business and management science or students in undergraduate courses.