Language : English
Published : 2009
Pages : 294
Engineering Mathematics Calculus
Out of stock
The purpose of this third edition is to bring together in a single book descriptions of all tests carried out in the optical shop that are applicable to optical components and systems. This book is intended for the specialist as well as the non-specialist engaged in optical shop testing. There is currently a great deal of research being done in optical engineering. Making this new edition very timely.
About the Author
Daniel Malacara, PhD, is a Professor at the Centro de Investigaciones en Optica, Leon, Gto, Mexico. A designer and constructor of optical instruments, including telescopes, he is well known for his books, including Optical Shop Testing, which has been translated into several languages. Dr. Malacara is a Fellow of the Optical Society of America and of SPIE, the International Society of Optical Engineering.
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
Analyzing how hacks are done, so as to stop them in the future Reverse engineering is the process of analyzing hardware or software and understanding it, without having access to the source code or design documents. Hackers are able to reverse engineer systems and exploit what they find with scary results. Now the good guys can use the same tools to thwart these threats. Practical Reverse Engineering goes under the hood of reverse engineering for security analysts, security engineers, and system programmers, so they can learn how to use these same processes to stop hackers in their tracks. The book covers x86, x64, and ARM (the first book to cover all three); Windows kernel-mode code rootkits and drivers; virtual machine protection techniques; and much more. Best of all, it offers a systematic approach to the material, with plenty of hands-on exercises and real-world examples. Offers a systematic approach to understanding reverse engineering, with hands-on exercises and real-world examples Covers x86, x64, and advanced RISC machine (ARM) architectures as well as deobfuscation and virtual machine protection techniques Provides special coverage of Windows kernel-mode code (rootkits/drivers), a topic not often covered elsewhere, and explains how to analyze drivers step by step Demystifies topics that have a steep learning curve Includes a bonus chapter on reverse engineering tools Practical Reverse Engineering: Using x86, x64, ARM, Windows Kernel, and Reversing Tools provides crucial, up-to-date guidance for a broad range of IT professionals.
About the Author
Bruce Dang is a senior security development engineering lead at Microsoft focusing on Windows kernel and reverse engineering. Alexandre Gazet is a senior security researcher at QuarksLab focusing on reverse engineering and software protection. Elias Bachaalany is a software security engineer at Microsoft.
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.