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Awesome engineering activities for kids : 50+ exciting STEAM projects to design and build
\"Make engineering for kids fun and inspiring. From toothpick towers and marble runs to egg drops and water rockets, Awesome Engineering Activities for Kids is filled with exciting projects that will challenge and delight kids ages 5-10. Kids learn how and why things work as they explore amazing projects all by themselves. These engineering for kids activities also help them discover important STEAM connections, showing how engineering relies on science, technology, art, and math\"-- Provided by publisher.
Book
Introductory statistics for engineering experimentation
The Accreditation Board for Engineering and Technology (ABET) introduced a criterion starting with their 1992-1993 site visits that \"Students must demonstrate a knowledge of the application of statistics to engineering problems.\" Since most engineering curricula are filled with requirements in their own discipline, they generally do not have time.
eBook
Zoom it : invent new machines that move
\"Explains the principles of inventing and provides photo-illustrated instructions for making a variety of moving contraptions\"--Provided by publisher.
Book
Design of experiments for engineers and scientists
The tools and technique used in the Design of Experiments (DOE) have been proved successful in meeting the challenge of continuous improvement over the last 15 years. However, research has shown that applications of these techniques in small and medium-sized manufacturing companies are limited due to a lack of statistical knowledge required for their effective implementation. Although many books have been written in this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers.Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as by those using statistical methods and readers will find the concepts in this book both familiar and easy to understand. The book treats Planning, Communication, Engineering, Teamwork and Statistical Skills in separate chapters and then combines these skills through the use of many industrial case studies. Design of Experiments forms part of the suite of tools used in Six Sigma.Key features:* Provides essential DOE techniques for process improvement initiatives* Introduces simple graphical techniques as an alternative to advanced statistical methods - reducing time taken to design and develop prototypes, reducing time to reach the market* Case studies place DOE techniques in the context of different industry sectors* An excellent resource for the Six Sigma training programThis book will be useful to engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic.Dr Jiju Anthony is Senior Teaching Fellow at the International Manufacturing Unit at Warwick University. He is also a trainer and consultant in DOE and has worked as such for a number of companies including Motorola, Vickers, Procter and Gamble, Nokia, Bosch and a large number of SMEs.
eBook
Earth-friendly engineering crafts
What can you engineer from recycled materials? This books has loads of ideas! Construct an airplane from cardboard and a plastic bottle, transform an old T-shirt into a working wind sock, and build a small city from plastic containers. Detailed instructions and photos of the steps and the finished product will guide crafty engineers-in-training to make engineering-themed projects. Extend learning with additional photos of the maker process, accessible online via QR code.
Book
Advanced Computational Engineering and Experimenting
Selected, peer reviewed papers from the Fourth International Conference on Advanced Computational Engineering and Experimenting (ACE-X 2010) held at the Hotel Concorde La Fayette Paris, France during the period 8th-9th July, 2010.
eBook
The ultimate book of saturday science
The Ultimate Book of Saturday Scienceis Neil Downie's biggest and most astounding compendium yet of science experiments you can do in your own kitchen or backyard using common household items. It may be the only book that encourages hands-on science learning through the use of high-velocity, air-driven carrots.
Downie, the undisputed maestro of Saturday science, here reveals important principles in physics, engineering, and chemistry through such marvels as the Helevator--a contraption that's half helicopter, half elevator--and the Rocket Railroad, which pumps propellant up from its own track. The Riddle of the Sands demonstrates why some granular materials form steep cones when poured while others collapse in an avalanche. The Sunbeam Exploder creates a combustible delivery system out of sunlight, while the Red Hot Memory experiment shows you how to store data as heat. Want to learn to tell time using a knife and some butter? There's a whole section devoted to exotic clocks and oscillators that teaches you how.
The Ultimate Book of Saturday Sciencefeatures more than seventy fun and astonishing experiments that range in difficulty from simple to more challenging. All of them are original, and all are guaranteed to work. Downie provides instructions for each one and explains the underlying science, and also presents experimental variations that readers will want to try.
eBook
Electronics for kids for dummies
\"Introduces kids to the basics of electronics. Includes 13 projects that promote your kid's sense of achievement. Features larger print to make the material less intimidating and easier to navigate. Covers tools and safety measures to ensure your child's safety.\"--Publisher's description.
Book
Deep Learning in Medical Imaging: General Overview
The artificial neural network (ANN)-a machine learning technique inspired by the human neuronal synapse system-was introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishing gradient and overfitting problems with training of deep architecture, lack of computing power, and primarily the absence of sufficient data to train the computer system. Interest in this concept has lately resurfaced, due to the availability of big data, enhanced computing power with the current graphics processing units, and novel algorithms to train the deep neural network. Recent studies on this technology suggest its potentially to perform better than humans in some visual and auditory recognition tasks, which may portend its applications in medicine and healthcare, especially in medical imaging, in the foreseeable future. This review article offers perspectives on the history, development, and applications of deep learning technology, particularly regarding its applications in medical imaging.
Journal Article