Wednesday, 30 March 2011

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Nature-Inspired Mobile Robotics, by Ken Waldron, Mohammad O Tokhi, Gurvinder S Virk

The proceedings provide state-of-the-art scientific and engineering research findings and developments in the area of mobile robotics and assistive technologies. The proceedings collected together peer reviewed articles presented at the CLAWAR 2013 conference. It contains a strong showing of articles on legged locomotion with numbers of legs from two onwards. There is also a good collection of articles on systems that walls climbing, poles balancing, and other more complex structures following the traditional of CLAWAR themes. In addition, the proceedings also cover the subject of robot-human interaction, which focus on a more “human” way of communicating with humanoid robots. As for human assistive devices, proceedings also cover exoskeletal and prosthetic devices, robots for personal and nursing cares to address the issues of ageing population in our society. Finally, the issue of the deployment of robots in society, it social and ethically consideration are also addressed in the proceedings.

Contents:
  • Plenary Presentations
  • Assistive Robotics
  • Autonomous Robots
  • Biologically-Inspired Systems and Solutions
  • HMI, Inspection and Learning
  • Innovative Design of CLAWAR
  • Locomotion
  • Manipulation and Gripping
  • Modelling and Simulation of CLAWAR
  • Planning and Control
  • Positioning, Localization and Perception
  • Sensing and Sensor Fusion
  • Service Robot Standards and Standardization

Readership: Systems and control engineers, electrical engineers, mechanical engineers in academic, research and industrial settings; engineers and practitioners in the public services sectors in health care, manufacturing, supply and delivery services.

  • Published on: 2013-06-26
  • Released on: 2013-06-26
  • Format: Kindle eBook

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Tuesday, 29 March 2011

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Oxford Reading Tree Read with Biff, Chip, and Kipper: Phonics: Level 1: Kipper's Alphabet I Spy, by Roderick Hunt, Ms Annemarie Young, Kat

Read With Biff, Chip and Kipper is the UK's best-selling home reading series. Over 5 million copies of the series sold in the UK alone since 2005. It is based on Oxford Reading Tree which is used in 80% of primary schools. Level 1 Phonics have been designed to practise basic phonics skills with the help of favourite characters Biff, Chip, Kipper and Floppy. These essential phonics concepts form the basis of basis of children's reading and writing skills. Level 1 includes four exciting and colourful Phonics books, which focus on: * Letter sounds and letter shapes * The alphabet and letter names * Combining sounds to read simple words * Reading simple sentences for meaning. Each book also includes practical tips and ideas for you to use when you reading with your child and fun activities, such as matching, spot the difference and mazes. Beautifully illustrated by Alex Brychta, these colourful and engaging Phonics books are the perfect introduction to learning to read. This series also provides essential support for parents through www.oxfordowl.co.uk. Visit the Oxford Owl for practical advice for helping children learn to read, all you need to know about phonics and lots of fun activities and free eBooks.

  • Sales Rank: #3598426 in Books
  • Published on: 2011-05-05
  • Original language: English
  • Number of items: 1
  • Dimensions: 6.89" h x .31" w x 5.87" l, .25 pounds
  • Binding: Hardcover
  • 24 pages

About the Author
Author and illustrator team, Roderick Hunt and Alex Brychta, are two of the most experienced and successful reading scheme creators in the world. In 2008, Roderick Hunt received an MBE in the Queen's Birthday Honours List for services to education, particularly literacy. This was followed by further success when Roderick and Alex won the prestigious Outstanding Achievement Award at the Education Resources Awards 2009. Annemarie Young is an author, publisher and editorial consultant in children's books and primary education. Kate Ruttle is an author, series editor, consultant and a teaching deputy head in a primary school in Suffolk.

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Monday, 14 March 2011

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COBIT 5 is the overarching business and management framework for governance and management of enterprise IT. This volume documents the five principles of COBIT 5 and defines the 7 supporting enablers that form the framework.

COBIT 5 is the only business framework for the governance and management of enterprise IT. This evolutionary version incorporates the latest thinking in enterprise governance and management techniques, and provides globally accepted principles, analytical tools and models to help increase the trust in, and value from, information systems. COBIT 5 builds and expands on COBIT 4.1 by integrating other major frameworks, standards and resources, including:

  • ISACA's Val IT and Risk IT
  • Information Technology Infrastructure Library (ITIL)
  • Related standards from the International Organization for Standardization (ISO)

COBIT 5 helps enterprises of all sizes:

  • Maintain high-quality information to support business decisions
  • Achieve strategic goals and realize business benefits through the effective and innovative use of IT
  • Achieve operational excellence through reliable, efficient application of technology
  • Maintain IT-related risk at an acceptable level
  • Optimize the cost of IT services and technology
  • Support compliance with relevant laws, regulations, contractual agreements and policies

  • Sales Rank: #763127 in Books
  • Published on: 2012-04-10
  • Number of items: 1
  • Binding: Perfect Paperback
  • 94 pages

Most helpful customer reviews

3 of 3 people found the following review helpful.
Useless
By Robert Magee
The entire book actual content without appendixes is around 20 pages. Points you to other books for actual info.

3 of 3 people found the following review helpful.
Three Stars
By 40dbOverS9
This book is ok, but most of the information can be found on-line. I would not buy this again.

6 of 8 people found the following review helpful.
Not worth the money, at all.
By COBIT Review
Not worth $43. At all. For less than 100 pages, please do not waste your money on this publication. Google the topic and save a lot of money.

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Although racing a calculator to solve a difficult problem may seem like a superhuman achievement, Professor Benjamin shows that there are simple tricks that allow anyone to look like a math magician. Professor Benjamin has another goal in this course: throughout these lectures, he shows how everything in mathematics is connected-how the beautiful and often imposing edifice that has given us algebra, geometry, trigonometry, calculus, probability, and so much else is based on nothing more than fooling around with numbers.

Here is an example: Think of a number between 1 and 10. Triple it. Add 6. Then triple again. Now take your answer, probably a two-digit number, and add the digits of your answer. If you still have a two-digit number, add those digits again. You should now be thinking of the magical number 9. The reason this works is based on algebra and the fact that the digits of any multiple of 9 must sum to a multiple of 9.

This is one of the many wonders of modular arithmetic, sometimes called clock arithmetic, where numbers wrap around in a circle.

There are MANY MORE fun examples in this helpful book that celebrates the sheer joy of mathematics, taught by a mathematician who is literally a magician with numbers. Professor Arthur T. Benjamin of Harvey Mudd College is renowned for his feats of mental calculation performed before audiences at schools, theaters, museums, conferences, and other venues.

  • Sales Rank: #1597235 in Books
  • Published on: 2007
  • Binding: Paperback

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3 of 3 people found the following review helpful.
Five Stars
By Gregg Davis
Arthur Benjamin is great at explaining math

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Saturday, 12 March 2011

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Algorithms to Live By: The Computer Science of Human Decisions, by Brian Christian, Tom Griffiths

A fascinating exploration of how computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind.

All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades. And the solutions they've found have much to teach us.

In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the simple, precise algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

  • Sales Rank: #37 in Audible
  • Published on: 2016-04-19
  • Released on: 2016-04-19
  • Format: Unabridged
  • Original language: English
  • Running time: 710 minutes

Most helpful customer reviews

227 of 238 people found the following review helpful.
Great book, disagreed with a few points, overall awesome
By Shiri Dori-Hacohen
[The original title of this review was: "Great book, though a few inaccuracies & bold claims". See below for two updates on the review and why I changed the title.]

I'm a little over halfway with this recently published book, which I'm really enjoying so far - and I expect to enjoy it all the way to the end. A lot of great and unexpected insights here, and it seems that the authors did a good job explaining extremely complex algorithms and showing their applicability to real life (though it's hard for me to tell how good their explanations are to a novice, since I'm an expert in the field - I have two masters in Computer Science and working on my PhD, and was familiar with 90% of the algorithms described before opening the book).

My biggest quibble with this book (and the reason they lost a star) is that I noticed a few annoying/sloppy inaccuracies, which makes [made! - see below for updates] me ever so slightly doubt the accuracy and veracity of other areas of the book that I'm less familiar with. The other issue is the boldness of their (otherwise very interesting) conjectures.

For example, the authors misunderstand and misquote the 2-minute rule from David Allen's Getting Things Done, claiming the rule tells you to perform any less than 2-min task immediately when it occurs to you - and essentially simplifying the entire GTD system into the 2-min rule, which is in fact a tiny part of GTD (pg. 105-106). In fact, however, Allen does not suggest that at all - that would distract you from whatever you're currently engaged with, i.e. require a context switch (the costs of which the authors discuss at length). Instead, you should write that task down and add it to your intray, just like any other task. The 2-minute rule is applied later, while clearing your intray (which can be anytime in the next 48 hours). The point of the 2-minute rule is that the time spent on adding this task into your otherwise-extremely-flexible GTD system, and then tracking it in said system, would take longer than two minutes. This type of tracking is akin to what the authors refer to as "meta-work", and thus performing the 2-min task at inbox clearing time saves you an equal or greater amount of meta-work later. This is completely in line with the type of scheduling suggestions that the authors discuss. I'm not familiar with the other popular advice books the authors quote in the scheduling chapter or in the others chapters (e.g. the empty-your-closet type books they discuss in chapter 4), so I don't know if there are other such mischaracterizations, but it makes me suspect there might be. And I get that they're trying to differentiate their own advice from "all the other pop books out there", but if they're going to explicitly cite other books, they should try not to misrepresent them.

Also, when discussing the Gittins rule and the multi-armed bandit problem, they say that a machine with a 0-0 record has "a Gittins index of 0.7029. In other words, something you have no experience with whatsoever is more attractive than a machine that you know pays out seven times out of ten!" (pg. 40). However, their own table on the same page clearly shows that a machine with a 7-3 record has a Gittins index of 0.7187, making such a machine ever so slightly superior to a 0-0 one. After some more reading I realized that what they meant was that a machine with a 0-0 record and *uncertainty* is better than a *certain payout* of 70% (i.e. guaranteed to payout 7 out of 10), but that was not what the text implied.

To be clear, these inaccuracies in and of themselves aren't huge - but they planted a seed of doubt in my mind [which is not as big anymore - see below] as to whether there were other such misrepresentations or inaccuracies in the book that I simply hadn't caught, and detracted from my enjoyment of the book.

The other concern I have with this book is that several chapters end with provocative suggestions that aren't actually empirically-backed. These conjectures are cool, but I'd have liked to see scientists be more careful about making such bold claims, or at least couching them in the need for more research to establish whether they were entirely true. One example here was the discussion about the decline of aging supposedly being a result of simply having a larger history to remember (pgs 103-104). This is a fascinating conjecture, and one that deserves to be studied properly, but they are basing it on some research work that was not age-related. I suspect the authors may be on to something, at least in the context of "normal aging" cognitive decline as opposed to, say, alzheimer-related decline. However, as stated in the text, the conjectures are stated a bit too strongly for my tastes ("But as you age, and begin to experience these sporadic latencies, take heart: the length of the delay is partly an indicator of the extent of your experience.", pg 104). I'd hate to see anyone making decisions based on them - potentially missing an earlier diagnosis, say, of alzheimer's, because the authors claimed that cognitive decline is totally normal.

Quibbles and concerns notwithstanding, I'm definitely enjoying the book and I think it's a great addition to the new genre of what's being called by some "science-help". It's also a good read for people who are tired of the same-old, and thirsty for some advice that's off the beaten path.

UPDATE:
The rest of the book was as good as I expected.
Additionally, I sent this review to the lead author (Brian Christian) in case he wanted to address these issues. I was delighted to receive a very thoughtful response from him! They will be fixing the Gittens rule description in the paperback edition, to make it clearer to the reader. The author respectfully disagreed with me on the other two issues (GTD 2 minute rule & cognitive decline).
Given what I saw in the email, I'd say the intentions behind the book definitely merit 5 stars (even though I still disagree on their presentation of those two topics). However, I'll leave the original title & rating of 4 stars as it stands for the original hardcover edition, and for consistency's sake. As I originally said, the book stands as an excellent addition to the genre, and also likely as a great first exposure into Computer Science if you've never had any.

2nd update:
Apparently, this review is now listed as the top most helpful review on Amazon (cool!). The book has been so successful that the first author (Brian Christian) recently informed me that the book is now on its third printing, which means that the Gittins index issue mentioned above is now fixed in the current and future editions. As for the other issues I had, they are more subjective in nature, and not large enough in and of themselves to merit the original (harsher) title of the review. Again, for completeness' sake and to avoid rewriting history, I leave the original review as its stands and the original title is listed below the new title, with only a few comments in brackets leading readers to these updates in the bottom.

88 of 94 people found the following review helpful.
A superior guide to the science of living well
By Ed R
The most thoughtful and meaningful book I have read since Daniel Kahneman’s “Thinking Fast and Slow”. It extends that work by detailing the extensive computer science research that has been done which illuminates those techniques (i.e., algorithms) that support our brain’s natural capabilities in order to make the best possible life decisions. It shows when it pays to be precise and rigorous and when the best choices can be made by less stringent analyses. And where “winging it” or ‘using gut feelings’ may indeed produce the best results. The authors accomplish these valuable lessons through clear explanatory writing, pertinent examples drawn from both computer design and the real (human) world and a fine sense of humor.
In addition to wonderfully fulfilling its stated goal the book also provides the reader with a solid overview of the current state of computer design and architecture and some strong validations of the received wisdom that has come to us from philosophy and religion.

8 of 8 people found the following review helpful.
Awesome! I thoroughly enjoyed this book
By Amazon Customer
Awesome! I thoroughly enjoyed this book. As an engineer with some programming experience I am drawn to algorithms and mathematics, and not only did this book put various algorithms in historical context, but it demonstrated how they can be applied to life while adding a philosophical twist. The authors are skilled at explaining difficult subjects using easy to understand language that builds from simple to complex at just the right pace, all the while using real world examples. Not only did I enjoy the read, but I learned new things that often prompted tangent explorations to learn more. The book left me with a hunger to delve deeper into many of the subjects discussed, and made me challenge, and sometimes affirm, many of my own philosophical beliefs. Well done!

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  • Sales Rank: #7399857 in Books
  • Binding: Paperback

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