Aquaris X2 X2 Pro Complete User Manual
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German Operetta on Broadway and in the West End, 1900–1940
Downloaded from https://www.cambridge.org/core. IP address: 170.106.202.58, on 26 Sep 2021 at 08:28:39, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://www.cambridge.org/core/product/2CC6B5497775D1B3DC60C36C9801E6B4 Downloaded from https://www.cambridge.org/core. IP address: 170.106.202.58, on 26 Sep 2021 at 08:28:39, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://www.cambridge.org/core/product/2CC6B5497775D1B3DC60C36C9801E6B4 German Operetta on Broadway and in the West End, 1900–1940 Academic attention has focused on America’sinfluence on European stage works, and yet dozens of operettas from Austria and Germany were produced on Broadway and in the West End, and their impact on the musical life of the early twentieth century is undeniable. In this ground-breaking book, Derek B. Scott examines the cultural transfer of operetta from the German stage to Britain and the USA and offers a historical and critical survey of these operettas and their music. In the period 1900–1940, over sixty operettas were produced in the West End, and over seventy on Broadway. A study of these stage works is important for the light they shine on a variety of social topics of the period – from modernity and gender relations to new technology and new media – and these are investigated in the individual chapters. This book is also available as Open Access on Cambridge Core at doi.org/10.1017/9781108614306. derek b. scott is Professor of Critical Musicology at the University of Leeds. -
Nokia Metrosite GSM Base Station, Product Description
Nokia MetroSite GSM Base Station, Product Description DN991444 © Nokia Networks Oy Internal Copy 1 (84) Issue 2 en DRAFT 1 Draft Nokia MetroSite GSM Base Station, Product Description The information in this document is subject to change without notice and describes only the product defined in the introduction of this documentation. This document is intended for the use of Nokia Networks' customers only for the purposes of the agreement under which the document is submitted, and no part of it may be reproduced or transmitted in any form or means without the prior written permission of Nokia Networks. The document has been prepared to be used by professional and properly trained personnel, and the customer assumes full responsibility when using it. Nokia Networks welcomes customer comments as part of the process of continuous development and improvement of the documentation. The information or statements given in this document concerning the suitability, capacity, or performance of the mentioned hardware or software products cannot be considered binding but shall be defined in the agreement made between Nokia Networks and the customer. However, Nokia Networks has made all reasonable efforts to ensure that the instructions contained in the document are adequate and free of material errors and omissions. Nokia Networks will, if necessary, explain issues which may not be covered by the document. Nokia Networks' liability for any errors in the document is limited to the documentary correction of errors. Nokia Networks WILL NOT BE RESPONSIBLE IN ANY EVENT FOR ERRORS IN THIS DOCUMENT OR FOR ANY DAMAGES, INCIDENTAL OR CONSEQUENTIAL (INCLUDING MONETARY LOSSES), that might arise from the use of this document or the information in it. -
3D Volumetric Modeling with Introspective Neural Networks
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 3D Volumetric Modeling with Introspective Neural Networks Wenlong Huang,*1 Brian Lai,*2 Weijian Xu,3 Zhuowen Tu3 1University of California, Berkeley 2University of California, Los Angeles 3University of California, San Diego Abstract Classification Decision Boundary In this paper, we study the 3D volumetric modeling problem by adopting the Wasserstein introspective neural networks method (WINN) that was previously applied to 2D static im- ages. We name our algorithm 3DWINN which enjoys the same properties as WINN in the 2D case: being simultane- Classification ously generative and discriminative. Compared to the existing Wasserstein 3D volumetric modeling approaches, 3DWINN demonstrates Distance competitive results on several benchmarks in both the genera- tion and the classification tasks. In addition to the standard in- ception score, the Frechet´ Inception Distance (FID) metric is also adopted to measure the quality of 3D volumetric genera- tions. In addition, we study adversarial attacks for volumetric Training Examples CNN Architecture Learned Distribution data and demonstrate the robustness of 3DWINN against ad- Synthesis versarial examples while achieving appealing results in both classification and generation within a single model. 3DWINN is a general framework and it can be applied to the emerging tasks for 3D object and scene modeling.1 Pseudo-negative Distribution Introduction The rich representation power of the deep convolutional neu- Figure 1: Diagram of the Wasserstein introspective neural ral networks (CNN) (LeCun et al. 1989), as a discrimina- networks (adapted from Figure 1 of (Lee et al. 2018)); the tive classifier, has led to a great leap forward for the im- upper figures indicate the gradual refinement over the clas- age classification and regression tasks (Krizhevsky 2009; sification decision boundary between training examples (cir- Szegedy et al. -
Device Support for Beacon Transmission with Android 5+
Device Support for Beacon Transmission with Android 5+ The list below identifies the Android device builds that are able to transmit as beacons. The ability to transmit as a beacon requires Bluetooth LE advertisement capability, which may or may not be supported by a device’s firmware. Acer T01 LMY47V 5.1.1 yes Amazon KFFOWI LVY48F 5.1.1 yes archos Archos 80d Xenon LMY47I 5.1 yes asus ASUS_T00N MMB29P 6.0.1 yes asus ASUS_X008D MRA58K 6.0 yes asus ASUS_Z008D LRX21V 5.0 yes asus ASUS_Z00AD LRX21V 5.0 yes asus ASUS_Z00AD MMB29P 6.0.1 yes asus ASUS_Z00ED LRX22G 5.0.2 yes asus ASUS_Z00ED MMB29P 6.0.1 yes asus ASUS_Z00LD LRX22G 5.0.2 yes asus ASUS_Z00LD MMB29P 6.0.1 yes asus ASUS_Z00UD MMB29P 6.0.1 yes asus ASUS_Z00VD LMY47I 5.1 yes asus ASUS_Z010D MMB29P 6.0.1 yes asus ASUS_Z011D LRX22G 5.0.2 yes asus ASUS_Z016D MXB48T 6.0.1 yes asus ASUS_Z017DA MMB29P 6.0.1 yes asus ASUS_Z017DA NRD90M 7.0 yes asus ASUS_Z017DB MMB29P 6.0.1 yes asus ASUS_Z017D MMB29P 6.0.1 yes asus P008 MMB29M 6.0.1 yes asus P024 LRX22G 5.0.2 yes blackberry STV100-3 MMB29M 6.0.1 yes BLU BLU STUDIO ONE LMY47D 5.1 yes BLUBOO XFire LMY47D 5.1 yes BLUBOO Xtouch LMY47D 5.1 yes bq Aquaris E5 HD LRX21M 5.0 yes ZBXCNCU5801712 Coolpad C106-7 291S 6.0.1 yes Coolpad Coolpad 3320A LMY47V 5.1.1 yes Coolpad Coolpad 3622A LMY47V 5.1.1 yes 1 CQ CQ-BOX 2.1.0-d158f31 5.1.1 yes CQ CQ-BOX 2.1.0-f9c6a47 5.1.1 yes DANY TECHNOLOGIES HK LTD Genius Talk T460 LMY47I 5.1 yes DOOGEE F5 LMY47D 5.1 yes DOOGEE X5 LMY47I 5.1 yes DOOGEE X5max MRA58K 6.0 yes elephone Elephone P7000 LRX21M 5.0 yes Elephone P8000 -
Script Identification in Printed Bilingual Documents
Script Identification in Printed Bilingual Documents D. Dhanya and A.G. Ramakrishnan Department of Electrical Engineering, Indian Institute of Science, Bangalore 560 012, India [email protected] Abstract. Identification of script in multi-lingual documents is essen- tial for many language dependent applications suchas machinetransla- tion and optical character recognition. Techniques for script identification generally require large areas for operation so that sufficient information is available. Suchassumption is nullified in Indian context, as thereis an interspersion of words of two different scripts in most documents. In this paper, techniques to identify the script of a word are discussed. Two different approaches have been proposed and tested. The first method structures words into 3 distinct spatial zones and utilizes the informa- tion on the spatial spread of a word in upper and lower zones, together with the character density, in order to identify the script. The second technique analyzes the directional energy distribution of a word using Gabor filters withsuitable frequencies and orientations. Words withvar- ious font styles and sizes have been used for the testing of the proposed algorithms and the results obtained are quite encouraging. 1 Introduction Multi-script documents are inevitable in countries housing a national language different from English. This effect is no less felt in India, where as many as 18 regional languages coexist. Many official documents, magazines and reports are bilingual in nature containing both regional language and English. Knowledge of the script is essential in many language dependent processes such as machine translation and OCR. The complexity of the problem of script identification depends on the disposition of the input documents. -
Release Notes UFED Ultimate, UFED Infield, UFED Physical Analyzer
Release Notes UFED Ultimate, UFED InField, UFED Physical Analyzer, UFED Logical Analyzer & Cellebrite Reader February 2019 Now supporting: 27,785 device profiles App versions: 7,596 Forensic methods v. 7.15 Total Logical extraction 135 11,088 Physical extraction* 140 6,757 File system extraction 137 6,709 Extract/disable user lock 232 3,231 Total 644 27,785 *Including GPS devices The number of unique mobile devices with passcode capabilities is 5,216 HIGHLIGHTS App support • Now supporting deleted data from the WeChat application for Android devices. • 149 updated application versions for iOS and Android devices. Release Notes | UFED Ultimate, UFED InField, UFED Physical Analyzer, UFED Logical Analyzer & Cellebrite Reader | February 2019 | www.cellebrite.com Release Notes Industry first: Samsung Exynos physical bypass solution As Cellebrite continues to pioneer the world of mobile device extractions, we are the first vendor in the industry to provide a generic solution to access Samsung devices with the Exynos processor. This new decrypting bootloader capability enables unlock, full file system and physical extractions from a vast range of Samsung devices, popular around the world. Together with the support for Samsung Qualcomm devices, Cellebrite is the only vendor to provide a holistic solution to unlock and extract data from Samsung devices. Supported devices include: SM-G930F Galaxy S7, SM-G935F Galaxy S7 Edge, SM- A520F Galaxy A5 2017 and SM-J730F Galaxy J7 Pro. Get to evidence faster with Selective Extraction When time is of the essence, and decisions need to be made quickly, examiners can use the new Selective Extraction capability to perform fast and focused extractions. -
Passmark Android Benchmark Charts - CPU Rating
PassMark Android Benchmark Charts - CPU Rating http://www.androidbenchmark.net/cpumark_chart.html Home Software Hardware Benchmarks Services Store Support Forums About Us Home » Android Benchmarks » Device Charts CPU Benchmarks Video Card Benchmarks Hard Drive Benchmarks RAM PC Systems Android iOS / iPhone Android TM Benchmarks ----Select A Page ---- Performance Comparison of Android Devices Android Devices - CPUMark Rating How does your device compare? Add your device to our benchmark chart This chart compares the CPUMark Rating made using PerformanceTest Mobile benchmark with PerformanceTest Mobile ! results and is updated daily. Submitted baselines ratings are averaged to determine the CPU rating seen on the charts. This chart shows the CPUMark for various phones, smartphones and other Android devices. The higher the rating the better the performance. Find out which Android device is best for your hand held needs! Android CPU Mark Rating Updated 14th of July 2016 Samsung SM-N920V 166,976 Samsung SM-N920P 166,588 Samsung SM-G890A 166,237 Samsung SM-G928V 164,894 Samsung Galaxy S6 Edge (Various Models) 164,146 Samsung SM-G930F 162,994 Samsung SM-N920T 162,504 Lemobile Le X620 159,530 Samsung SM-N920W8 159,160 Samsung SM-G930T 157,472 Samsung SM-G930V 157,097 Samsung SM-G935P 156,823 Samsung SM-G930A 155,820 Samsung SM-G935F 153,636 Samsung SM-G935T 152,845 Xiaomi MI 5 150,923 LG H850 150,642 Samsung Galaxy S6 (Various Models) 150,316 Samsung SM-G935A 147,826 Samsung SM-G891A 145,095 HTC HTC_M10h 144,729 Samsung SM-G928F 144,576 Samsung -
Single Cell Gas Gauge Application Book
bq27500 Application Book Literature Number: SLUA458 July 2008 www.ti.com Contents Chapter 1 Glossary ..................................................... ..................................................... 7 Introduction ........................................................... ........................................................... 9 Chapter 2 Single-Cell Impedance Track™ Gas Gauge for Novices ................... ................... 10 2.1 Introduction ................................................... ................................................... 11 2.2 The Basics ................................................... ................................................... 12 2.3 Next Steps.................................................... .................................................... 17 2.4 Glossary ..................................................... ..................................................... 18 Data Flash Glossary..................................................... ..................................................... 21 Chapter 3 Configuring the bq27500 Data Flash ................................. ................................. 22 3.1 Glossary ..................................................... ..................................................... 22 3.2 Configuration .................................................. .................................................. 23 3.3 System Data .................................................. .................................................. 29 3.4 -
Claudia Tapia, Director IPR Policy at the Ericsson
DT: a new technological and economic paradigm Dr Claudia Tapia, Director IPR Policy All views expressed in this speech are those of the author and do not necessarily represent the views of Ericsson Ericsson at a glance NETWORKS IT MEDIA INDUSTRIES Create one network for Transform IT to accelerate Delight the TV Connect industries to a million different needs business agility consumer every day accelerate performance Worldwide mobile 42,000 Patents 40% traffic provided by 222,6 B. SEK Net Sales our networks R&D Employees Licensing Countries with 23,700 >100 agreements 180 customers Average p.a. Licensing revenues Employees 5 B. usd in R&D 10 b. Sek 111,000 Page 2 415,000,000,000 Page 3 STANDARDISATION PROCESS Early Technical Unapproved contribution investment (described in R&D in a patent) Adopted by Standard FRAND CONSENSUS in essential commitment standard patent Return on Access to the investment standard Interoperable high performance devices at a FRAND = Fair, Reasonable and Non- reasonable price DiscriminatoryPage 4 (terms and conditions) 4,000,000,000,000 Page 5 3,452,040 Page 6 3G and LTE (3GPP - 1999 – Dec. 2014 ) 262,773 Submitted contributions 43,917 Approved contributions (16,7%) Source: Signals Research Group. The Essentials of IP, from 3G through LTE Release 12, May 2015 Page 7 LTE approved Contributions for 13 WGs (2009 - Q3 2015) –Source: ABI Research COMPANY RANK Ericsson 1 Huawei 2 Nokia Networks 3 Qualcomm 4 ALU 5 ZTE 6 Samsung 7 Anritsu 8 Rohde & Schwarz 9 CATT 10 Page 8 Principles of standardisation CONSENSUS TRANSPARENCY IMPARTIALITY OPENNESS .. -
(ASIX AX88772A Chipset) Compatiblity List 1/2/2019
Plugable USB 2.0 OTG Micro-B to 10/100 Fast Ethernet Adapter (ASIX AX88772A chipset) Compatiblity List Maker Model reported/tested Driver Notes version Support Android Tablet/Phone Alldaymall EU-A10T 5.1 Yes Reported by customer Am Pumpkin Radium 2 No Reported by customer ASUS Memo Pad 8 AST21 Yes Reported by customer ASUS Memo Pad 7 572CL 4.4.2 Yes Reported by customer ASUS Memo Pad 7 LTE 5.1.1 Yes Reported by customer ASUS MeMO Pad 7 ME176C2 4.4.2 No Reported by customer ASUS MeMO Pad HD 7 ME173X 4.4.1 No Reported by customer ASUS 7" K013 4.4.2 No Reported by customer ASUS 10.1" K010 4.4 Yes Reported by customer ASUS ZenPad 10 (Z300C/P023) 5.0.2 Yes Reported by customer ASUS ZenPad 8.0 Yes Reported by customer ASUS ZenPad 7.0(Z370KL) 6.0.1 Yes Reported by customer ASUS ZenFone 2 551ML No * Reported by customer, only for browsing worked ΛzICHI ADP-722A 4.4.2 Yes Reported by customer BQ Aquaris U 7.1.1 Yes Reported by customer BQ Aquaris X5 Plus 7.0 Yes Reported by customer BQ Aquaris X Pro 7.1.1 Yes Reported by customer Covia Fleas Pop 5.1 No Reported by customer Cubot Cubot H1 5.1 No Reported by customer Datawind 3G7 4.2.2 Yes Reported by customer Digital2 D2-912_BK 9-Inch Tablet Yes Reported by customer Fujitsu ARROWS Tab F-02F 4.4.2 No Reported by customer Google Chromecast Yes Reported by customer, by using OTG Y cable Google Nexus Player 5.x Yes Reported by customer Google Nexus Player 6.0.1 Yes Please apply the latest Android updates *** Google Nexus 5 5.0.1 Yes * With upgrade to 5.01 Google Nexus 5 6.0.1 Yes Please apply the latest -
HR Kompatibilitätsübersicht
HR-imotion Kompatibilität/Compatibility 2018 / 11 Gerätetyp Telefon 22410001 23010201 22110001 23010001 23010101 22010401 22010501 22010301 22010201 22110101 22010701 22011101 22010101 22210101 22210001 23510101 23010501 23010601 23010701 23510320 22610001 23510420 Smartphone Acer Liquid Zest Plus Smartphone AEG Voxtel M250 Smartphone Alcatel 1X Smartphone Alcatel 3 Smartphone Alcatel 3C Smartphone Alcatel 3V Smartphone Alcatel 3X Smartphone Alcatel 5 Smartphone Alcatel 5v Smartphone Alcatel 7 Smartphone Alcatel A3 Smartphone Alcatel A3 XL Smartphone Alcatel A5 LED Smartphone Alcatel Idol 4S Smartphone Alcatel U5 Smartphone Allview P8 Pro Smartphone Allview Soul X5 Pro Smartphone Allview V3 Viper Smartphone Allview X3 Soul Smartphone Allview X5 Soul Smartphone Apple iPhone Smartphone Apple iPhone 3G / 3GS Smartphone Apple iPhone 4 / 4S Smartphone Apple iPhone 5 / 5S Smartphone Apple iPhone 5C Smartphone Apple iPhone 6 / 6S Smartphone Apple iPhone 6 Plus / 6S Plus Smartphone Apple iPhone 7 Smartphone Apple iPhone 7 Plus Smartphone Apple iPhone 8 Smartphone Apple iPhone 8 Plus Smartphone Apple iPhone SE Smartphone Apple iPhone X Smartphone Apple iPhone XR Smartphone Apple iPhone Xs Smartphone Apple iPhone Xs Max Smartphone Archos 50 Saphir Smartphone Archos Diamond 2 Plus Smartphone Archos Saphir 50x Smartphone Asus ROG Phone Smartphone Asus ZenFone 3 Smartphone Asus ZenFone 3 Deluxe Smartphone Asus ZenFone 3 Zoom Smartphone Asus Zenfone 5 Lite ZC600KL Smartphone Asus Zenfone 5 ZE620KL Smartphone Asus Zenfone 5z ZS620KL Smartphone Asus -
MOBILE MARKETING ECOSYSTEM REPORT 2018, INDIA Foreword
MOBILE MARKETING ECOSYSTEM REPORT 2018, INDIA Foreword Since the last time we saw you there have been dramatic shifts in multiple areas. Demonetization in India saw massive uptake on digitization of payments, and Trump took over the presidency in the US. In the same period, Reliance Jio changed the Telecom ecosystem in India by adding 200+ million new mobile subscribers, shaping it’s vision of “Internet for Every Indian”. We also saw 4G in India becoming mainstream, on both network and smartphone tech adoption, it completely dominated the market. 4G featurephone is an innovation that will take the India market by storm and will stay for long. Lower data cost caused massive growth in data consumption via mobile devices. Gaming, OTT Video and Digital Audio platforms became the flag bearers of increasing data trac. India saw the launch of seven big OTT platforms in the last 2 years (namely Netflix, Amazon Prime, Hotstar, Voot, Zee5, Sony Liv and Wynk). With the growing OTT consumption and the need of vernacular content, we think in the next 5 years’ vernacular content users will grow 12X compared to 2X growth for English content consumers. Gaming is another category showing growth in India, as it caters to not only to seasoned gamers, but also casual gamers like kids on their parents phones. Also, by introducing relevant native ad formats like reward videos, gaming has become a top contender for marketers to spend on. In 2017, 70% of India’s digital advertising budget was spent on mobile, wherein traditional FMCG and BFSI brands also saw uptake in something as advanced as programmatic spend.