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Four: El ADN secreto de amazon, apple, facebook y google / The Hidden DNA of Amazon, Apple, Facebook, and Google

為了解決YouTube to Apple Mus的問題，作者Galloway, Scott/ Serrano, Maria (TRN) 這樣論述：

Amazon, Apple, Facebook y Google son las cuatro empresas m s influyentes del mundo. Casi todo el mundo cree saber c mo lo han logrado. Y casi todo el mundo se equivoca. Conoce su ADN secreto.Las four (Amazon, Apple, Facebook y Google), cuyas valoraciones se aproximan ya a la escalofriante cifra del

bill n de d lares, son los cuatro gigantes de la econom a mundial. C mo han logrado esas compa as infiltrarse tan profundamente en nuestras vidas que ya es imposible evitarlas (o incluso boicotearlas)? Por qu los mercados burs tiles les perdonan pecados que destruir an a cualquier otra empresa?

Puede alguien desafiarlas? Con el estilo fresco y desenfadado que le ha convertido en uno de los m s c lebres profesores de negocios, Scott Galloway disecciona las estrategias ocultas bajo la deslumbrante apariencia de estos cuatro gigantes y muestra c mo apelan a las necesidades b sicas que han mo

vido a la humanidad desde tiempos ancestrales: Amazon, a la de cazar y recolectar; Apple, a la de procrear; Facebook, a la de amar; y Google, a la de creer en un Dios. Y, tanto si queremos competir como si queremos hacer negocios con ellas o simplemente sobrevivir en el mundo que dominan, resulta i

mprescindible conocer el ADN secreto de esos cuatro jinetes de la econom a mundial. Escrito con rigor y amenidad, el libro de Galloway ofrece un pormenorizado panorama de la econom a del mundo actual y del futuro que se avecina que no dejar indiferente a ning n lector, y revela con ingenio c mo po

demos aplicar las lecciones del ascenso de Amazon, Apple, Facebook y Google a nuestro propio negocio o carrera profesional. ENGLISH DESCRIPTIONNEW YORK TIMES BESTSELLER USA TODAY BESTSELLERAmazon, Apple, Facebook, and Google are the four most influential companies on the planet. Just about everyone

thinks they know how they got there. Just about everyone is wrong. For all that''s been written about the Four over the last two decades, no one has captured their power and staggering success as insightfully as Scott Galloway. Instead of buying the myths these compa-nies broadcast, Galloway asks fu

ndamental questions. How did the Four infiltrate our lives so completely that they''re almost impossible to avoid (or boycott)? Why does the stock market forgive them for sins that would destroy other firms? And as they race to become the world''s first trillion-dollar company, can anyone chal-lenge

them? In the same irreverent style that has made him one of the world''s most celebrated business professors, Galloway deconstructs the strategies of the Four that lurk beneath their shiny veneers. He shows how they manipulate the fundamental emotional needs that have driven us since our ancestors

lived in caves, at a speed and scope others can''t match. And he reveals how you can apply the lessons of their ascent to your own business or career. whether you want to compete with them, do business with them, or simply live in the world they dominate, you need to understand the Four. Scott Ga

lloway is a professor at New York University’s Stern School of Business, where he teaches brand strategy and digital marketing to second-year MBA students. A serial entre-preneur, he has founded nine firms, including L2, Red Envelope, and Prophet. In 2012, he was named one of the ＂World’s 50 Best Bu

si-ness School Professors＂ by Poets & Quants. His weekly YouTube series, ＂Winners and Losers,＂ has generated tens of millions of views. This is his first book.

Television on Demand: Curatorial Culture and the Transformation of TV

為了解決YouTube to Apple Mus的問題，作者Robinson, M. J. 這樣論述：

Since 2010 "curation+? has become a marketing buzzword. Wrenched from its traditional home in the world of high art, everything from food to bed linens to dog toys now finds itself subject to this formerly rarified activity. Most of the time the term curation is being inaccurately used to refer to t

he democratization of choice - an inevitable development and side effect of the economics of long tail distribution. However, as any true curator will tell you - curation is so much more than choosing - it relies upon human intelligence, agency, evaluation and carefully considered criteria - an accu

rate, if utopian definition of the much-abused and overused term. Television on Demand examines what happens when curation becomes the primary way in which media users or viewers engage with mass media such as journalism, music, cinema, and, most specifically, television. Mass media's economic model

is based on mass audiences - not a cornucopia of endless options from which individuals can customize their intake. The rise of a curatorial culture where viewers create their own entertainment packages and select from a buffet of viewing options and venues has caused a seismic shift for the post-n

etwork television industry - one whose ultimate effects and outcomes remain unknown. Curatorial culture is a revolutionary new consumption ecology - one that the post-network television producers and distributors have not yet figured out how to monetize, as they remain in what anthropologists call a

"liminal+? state of a rite of passage - no longer what they used to be, but not yet what they will become. How does an advertiser-supported medium find leave alone quantify viewers who DVR This is Us but fast-forward through the commercials; have a season pass to The Walking Dead via iTunes to watc

h on their daily commutes; are a season behind on Grey's Anatomy via Amazon Prime but record the current season to watch after they're caught up; binge watched Orange is the New Black the day it dropped on Netflix; are watching new-to-them episodes of Downton Abbey on pbs.org; never miss PewDiePie's

latest video on YouTube, graze on Law & Order: SVU on Hulu and/or TNT and religiously watch Jimmy Fallon on The Tonight Show via digital rabbit ears? While audiences clamor for more story-driven and scripted entertainment, their transformed viewing habits undermine the dominant economic structures

that fund quality episodic series. Legacy broadcasters are producing more scripted content than ever before and experimenting with new models of distribution - CBS will premiere its new Star Trek series on broadcast television but require fans to subscribe to its AllAccess app to continue their vie

wing. NBC's original Will & Grace is experiencing a syndication renaissance as a limited-run season of new episodes are scheduled for fall 2017. At the same time, new producing entities such as Amazon Studios, Netflix and soon Apple TV compete with high-budget "television+? programs that stream arou

nd traditional distribution models, industrial structures and international licensing agreements. Television on DemandCuratorial Culture and the Transformation of TV explains and theorizes curatorial culture; examines the response of the "industry, +? its regulators, its traditional audience quantif

iers, and new digital entrants to the ecosystem of the empowered viewer; and considers the viable future(s) of this crucial culture industry. MJ Robinson is an assistant professor of journalism and new media and Graduate Deputy Chair of the M.S. in Media Studies in the Department of TV and Radio a

t Brooklyn College, City University of New York (CUNY), USA. Robinson teaches undergraduate courses in multi-platform journalism and graduate courses in media studies. Her research focuses on the challenges facing the contemporary television industry/ies, the political economy of the media industrie

s and the history of municipal broadcasting in the United States, most specifically New York City. She has worked in international television and film co-production and financing, documentary film, and as a motion picture archivist.

人工智慧物聯網技術應用於工廠安全與環境監控系統

為了解決YouTube to Apple Mus的問題，作者余俊德 這樣論述：

在本篇論文中，提出監控工廠安全與環境的AIoT系統。此系統可讓管理者從APP與人機介面上查看從業人員是否有按照規定配戴工安帽和環境溫溼度狀況，並連結警報器具有違規警報功能。 本篇論文區分成三部分，第一部份利用實際與網路尋找並下載有戴工安帽及沒戴工安帽的照片，接著建立所需訓練的資料庫，以YOLOV3物件辯識演算法訓練，並測試訓練後權重檔的辨識率，最後進行即時辨識。第二部份使用NodeMCU微控制器控制警報器與進行環境溫濕度偵測，並將即時辨識結果與環境溫溼度數據上傳google雲端試算表與ThinkSpeck物聯雲。第三部份，將辨識結果與溫溼度資訊呈現在Android APP上，並在主機端

以人機介面視覺化方式呈現，作為工廠安全與環境監控的人工智慧物聯網系統。 本論文研究貢獻如下: (1)低成本:本論文使用Python開源軟體撰寫，與工廠監視器及平價的硬體組件所組合而成，大幅降低不少製作與人力管控成本。 (2)安全性:未戴工安帽能即時警告通知，工廠異常狀況紀錄，有助於降低工安危害。 (3)趨勢性:人工智慧物聯網不斷進步，應用人工智慧與物聯網達到遠端監控。