UPC Code的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

Barcodes with iOS: Bringing Together the Digital and Physical Worlds

為了解決UPC Code的問題，作者Drobnik, Oliver 這樣論述：

SummaryBarcodes with iOS is the first and only book that comprehensively addresses barcode technology for the iOS developer. It offers an introduction to commonly used formats, such as ISBN and UPC codes, and provides real-world examples that teach you how to integrate code scanning and generation i

nto your apps. This book consolidates information about applicable Apple frameworks in one place so you can quickly add native barcode support to your existing enterprise apps or start building new apps that help bring together the physical and digital worlds.Purchase of the print book includes a fr

ee eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyBarcodes are a universal way to track and share information, appearing on everything from cereal boxes to shop windows. Starting with iOS 7, Apple has added native features for building apps that scan, display, a

nd print barcodes, eliminating the need for third-party libraries.About the BookBarcodes with iOS teaches you how to effectively use barcodes in your iOS apps. You'll master Apple's new barcode frameworks while you explore real-world examples that integrate code scanning and generation and metadata

retrieval into your apps. Along the way, you'll pick up numerous best practices for bringing together the physical and digital worlds.This book is written for readers with a working knowledge of Objective-C and iOS app development.What's InsideLearn about all barcode formats supported by iOSNative b

arcode scanning with AV FoundationUsing Core Image and BarCodeKit to produce a wide range of barcodesPrinting to sheets and labels with AirPrintRetrieving metadata for products with NSURLSession and NSURLProtocolHarnessing context information from Core Location and iBeaconsAbout the AuthorOliver Dro

bnik is an independent consultant specializing in custom iOS and Mac development.Table of ContentsBarcodes, iOS, and you 1Media capture with AV Foundation 18Scanning barcodes 48Passbook, Apple's digital wallet 70Generating barcodes 97Getting metadata for barcodes 133Putting barcodes in context 172Ap

pendicesHistory of the UPC 205GTIN prefix ranges 212GS1-128 application identifiers 217 Oliver Drobnik is a full time iOS and Mac developer. He runs a software development company and maintains several well-known Open Source projects. You’ll find him on cocoanetics.com or as @Cocoanetics on Twitte

r.

UPC Code進入發燒排行的影片

利用蒙地卡羅法與粒子網格法分析整合式陽極層離子源離子束濺鍍模組特性研究

為了解決UPC Code的問題，作者陳敬修 這樣論述：

本研究提出了一種整合式陽極層離子源離子束濺鍍模組(Integrated Anode Layer Ion Source Ion Beam Sputtering Module, IAIBS)，並建立粒子模型數值模擬平台，用來分析此濺鍍模組的系統特性。IAIBS模組的設計概念，是以環形結構之陽極層產生環形離子源並形成離子束。此離子束經由外部可控電場的加速與軌跡引導，以高能量狀態轟擊靶材表面造成濺鍍效應。與傳統離子束濺鍍系統不同的是，IAIBS將靶材整合至模組中，大幅減少濺鍍系統的體積。本實驗室已將IAIBS模組成功應用於薄膜沉積實驗。同時為了進一步了解IAIBS模組的濺鍍特性，本研究使用的粒子模型

數值模擬，採用了蒙地卡羅碰撞法（MCC）與粒子網格演算法（PIC）。 MCC 方法是以機率統計為核心概念的粒子碰撞法，本研究用於計算環形幾何結構 IAIBS模組中，氬氣原子的空間分佈狀態。根據這個原子分佈的結果，可以進一步獲得氣體壓力分佈的模擬結果，而此是中性氣體離子化程度的重要依據，亦即IAIBS模組中離子束的空間分佈狀態。另一方面，PIC演算法用於處理預先定義的網格空間中，帶電粒子於電場中的運動軌跡。此方法可以同時保有粒子運動狀態的正確性，並大量減少運算過程所需要的耗時步驟。除了利用MCC/PIC方法對IAIBS模組進行特性分析，薄膜沉積後的雜質污染源也是本研究討論的一個重要問題。污染源可

能來自反應性氣體原子，或是在IAIBS模組中被高能離子轟擊的不銹鋼電極結構。此推論的明顯證據是在IAIBS模組經過長時間使用後，金屬電極上有明顯的離子轟擊痕跡，因此薄膜沉積的金屬雜質，以及如何降低雜質汙染，是本研究探討的主要議題。為此，本研究利用數值模擬來評估雜質來源，並同時藉由模擬不同濺鍍參數配置的結果，來獲得降低鐵原子雜質污染的濺鍍條件。根據模擬結果顯示，IAIBS模組的上陰極偏壓為0 V，陽極偏壓為650 V以及靶材偏壓為-200 V時，可以有效將雜質降低。此模擬結果也搭配利用IAIBS模組在石英基板上沉積銀薄膜，用以確認鐵原子雜質污染的改善問題。鍍銀薄膜是利用二次離子質譜儀(SIMS)

來分析薄膜元素。其結果證實，藉由調整電極偏壓，銀薄膜中的鐵原子雜質比例可降低10倍。本研究的結果，利用MCC/PIC模擬方法，分析中性氣體原子在IAIBS模組中的分布情形，以及離子源產生區域的空間分布，並模擬離子束在不同電極偏壓條件下的特性。鍍銀薄膜的SIMS檢測數據也顯示與模擬結果相符，驗證了經由調整IAIBS模組的參數配置，可以有效地減少鐵原子雜質污染。藉由本研究建立的模擬平台，將來可以為日後的改良或新設計，提供一個快速且正確的參考依據。

PHP Web 2.0 Mashup Projects

為了解決UPC Code的問題，作者Shu-wai Chow 這樣論述：

This practical tutorial has detailed, carefully explained case studies using PHP to build new, effective mashup applications, which combine data from multiple external online sources into an integrated Web 2.0 experience. If you are confident with PHP programming and interested in mashing things up,

this book is for you All you need to know about formats, protocols, web services, and web APIs is covered as you learn to write PHP code to remotely consume services like Google Maps, Flickr, Amazon, YouTube, MSN Search, Yahoo , Last.fm, the Internet UPC Database, and even the California Highway P

atrol Traffic data The 5 real-world PHP projects each start with an overview of technologies and protocols needed and then dive into the tools used and details of creating the project, and you can download each project's source code. You will learn how these technologies work with each other and ho

w to use this information, together with your imagination, to build your own cutting-edge websites.

彩色二維條碼之研究

為了解決UPC Code的問題，作者林佩瑩 這樣論述：

本論文提出一種新的二維彩色條碼系統，主要內容分為兩部分，一為條碼區域偵測利用Canny邊緣檢測找出基於QR 碼設計的「回」字，確定圈選範圍後，再由透視變換將條碼轉正。二為透過深度學習網路的方法可以更為準確的判斷顏色。色彩辨識中我們使用了卷積神經網路中的VGGNet及ResNet兩種網路架構作比較，我們將已經裁切過的色塊，透過電腦的學習網路訓練後產生分類器，使可以自動辨識。實驗中訓練模型部分我們使用893張照片，經過偵測後，切割成3572張顏色影像，測試部分則透過即時偵測擷取了215幀的影像，裁切成912張顏色影像，VGGNet模型與ResNet模型分別用兩個不同深度訓練後相比，VGGNet使

用了16層和19層，ResNet則是50層和101層，發現兩個模型分類器不管是幾層，結果測試時間沒有相差， Res-Net的準確度最高則達到99.01%，VGGNet的準確度最高可達到99.56%，以VGG16的表現為最好。