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Wikibrands: Reinventing Your Company in a Customer-driven Marketplace

為了解決Meta wiki的問題，作者Moffitt, Sean 這樣論述：

REINVENTING YOUR COMPANY IN A CUSTOMER-DRIVEN MARKETPLACE FOREWORD BY DON TAPSCOTT, Bestselling author of Wikinomics "A must-read for business leaders, managers, and just about anyone who wants to recognize and tap into the incredible creative energy of customers and stakeholders." -- Richard Florid

a, bestselling author of The Rise of the Creative Class"Marketers should follow the course laid out by Sean Moffitt and Mike Dover, which leads us into a new brand future of pull, not push, and of conversation, not control." -- B. Josep h Pine II, bestselling author, The Experience Economy"Thoughtfu

l, innovative, and most of all practical. If your organization wants to deploy technology to build better client relationships, Wikibrands will show you how." -- Keith Ferrazzi, bestselling author, Never Eat Alone"Your brand can share control to create value. With the changing role of consumers, eve

ry brand is a lie, not a promise. But Wikibrands offers marketers a rich understanding of how social media can drive engagement for brands that make them true." -- Ross Mayfield, Chairman, President, and co-founder, Socialtext "A must-read for the hungry marketer " -- Julie Roehm, Backslash Meta, LL

C "The path forward presented in Wikibrands is brightly illuminated, helping change the landscape in an area ready for consumer-driven, open innovation." -- David Smith, Global Managing Director, Accenture, and Co-Author of Workforce of One: Revolutionizing Talent Management Through Customization""A

behind-the-curtain look at how you should be engaging your customer directly in the branding process. Ignore this important book at your own peril." -- Saul Kaplan, Founder and Chief Catalyst, Business Innovation Factory What is a Wikibrand? It's the next generation of business building that taps i

nto the true power of social networks, brand connections, and customer participation to build real value. It's a status update on Facebook, a rave on Twitter, a review on YouTube, and so much more. It's the herald of a new golden age in customer freedom and individualized customer service. It's the

future of business--and this book is your wake-up call, strategy guide, and road map to what's ahead. In Wikibrands, acclaimed media marketing experts Sean Moffitt and Mike Dover show you how to take advantage of the exciting new models of business and technologies--and enthusiastic online communiti

es--one click at a time. Built on continuing research from Don Tapscott's trailblazing ＄10 million research project, which formed the basis of bestselling books such as Wikinomics and Grown Up Digital, this book delivers hundreds of the best examples from today's most successful businesses. You'll l

earn how to: ENGAGE THE CUSTOMER through social influence, word of mouth, and user-generated content CREATE AN EXPERIENCE affected by customer-driven ratings, reviews, and online culture BUILD A COMMUNITY through microblogging, prosumerism, and crowdsourcing MAKE A CONNECTION that is truly authentic

, collaborative, and value enhancingWhether you work with an established business and are looking to make it relevant to today's "wikiconsumers" or are launching a start-up from scratch, Wikibrands offers countless creative ideas for defining and reaching out to your target audience. You'll find ref

reshing new ways and a FLIRT model to help you open up an honest dialogue with your customers, attract a ready-made fan base through shared interests, and even work with other businesses toward a mutually rewarding goal. These are the latest tricks of the trade, used by hot brand names such as Mozil

la Firefox, lululemon, and Zappos; industry giants Starbucks, Dell, and Harley-Davidson; and other less well-known organizations. This is how you turn merely buzzworthy brands into full-fledged wikibrands. Sean Moffitt is President of Agent Wildfire Strategy & Communications, a leading social influe

nce, word-of-mouth, and customer engagement firm. An internationally known speaker and Web expert, he has reinvented brands as a client and partner for Molson, Guinness, Procter & Gamble, and numerous Fortune 500 companies and start-ups. Mike Dover is Managing Partner of Socialstruct Advisory Group.

As Vice President, Research Operations, for New Paradigm (formerly nGenera Insight), he oversaw the research programs for the bestselling books Wikinomics and Grown Up Digital. He also has provided review support for more than a dozen other books. Continue the reinvention of your business at wiki -

brands .com Sean Moffitt is President, Agent Wildfire Strategy & Communications Inc., a leading social influence, word of mouth and customer engagement firm. He is also an internationally respected and connected web expert and sought-after speaker, lecturing to corporations, associations and unive

rsities throughout the world on cultural trends and the reinvention of marketing and business. With one foot in traditional business and another in new digital worlds, he has led the efforts behind established brands Molson, Guinness and Procter & Gamble and now partners with many Fortune 500s and s

tartups as an evangelist for web-enabled customer engagement and collaboration in business. Mike Dover is the Managing Partner of Socialstruct Advisory Group. As Vice President, Research Operations for New Paradigm (later nGenera Insight), he oversaw the research programs underlying Wikinomics: How

Mass Collaboration Changes Everything and Grown Up Digital: How The Net Generation is Changing the World. He also provided review support for more than a dozen other books including Authenticity: What Customers Really Want by Joe Pine and James Gilmore and DIY U Edupunks, Edupreneurs, and the Coming

Transformation of Higher Education by Anya Kamenetz.

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基於PPG信號和卷積神經網路測量血壓

為了解決Meta wiki的問題，作者黎文雄 這樣論述：

光體積變化描記圖法 (PPG) 是一種非侵入性和低成本的技術，現在被廣泛應用於許多血壓量測的研究中。儘管 PPG 信號的品質對血壓演算法的準確度有很大影響，但有關PPG信號的品質檢查並未得到重點關注。在實際量測時，除PPG信號外，反相PPG信號、雜訊、運動信號都會被採集，這些錯誤的信號如果無法去除就會導致錯誤的預測結果。因此，為了解決這個問題，本文提出了一種用於檢查PPG信號品質的新型卷積神經網路 (CNN) 模型，此使用新型CNN的品質檢查模型已被成功訓練和驗證，具有高精度和高性能。此外，本文還設計了另一個卷積神經網路模型來計算血壓，該模型可以自動檢測 PPG 信號中的重要特徵。最後，品質

檢查模型和 CNN 模型都成功嵌入到 Matlab 界面中，用於測量和收集更多數據，以便將來校準模型。