Accelerating Development Using the Web: Empowering Poor and Marginalized Populations George Sadowsky, Ed
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Russia Technology Internet Local Dominance Strengthens
12 December 2018 | 1:51AM MSK Russia Technology: Internet Local dominance strengthens; competition among ecosystems intensifies It’s been a year since we published Russia’s internet champions positioned to Vyacheslav Degtyarev +7(495)645-4010 | keep US giants at bay. We revisit our thesis, highlighting that the domestic internet [email protected] OOO Goldman Sachs Bank incumbents are successfully defending their home turf from international competition. We have seen only modest incremental efforts from global players, with some recognizing the importance of local expertise (Alibaba’s agreement to transfer control in AliExpress Russia to local partners) or conceding to domestic market leaders (Uber merged its Russian operations with Yandex.Taxi, citing Yandex’s strong technology and brand advantage). The two domestic market leaders, Yandex and Mail.ru, have solidified their dominant positions in search and social networks, respectively, and are leveraging these core businesses to exploit new sources of growth across their ecosystems (e.g. advertising, taxi, food tech, music). While their ever-expanding competitive overlap is worrying, we note this is not unique for global tech and is still relatively limited in scale. We expect the local dominance trend to continue and see significant untapped opportunities in e-commerce, messengers, local services, cloud and fintech. We re-iterate our Buy ratings on Yandex (on CEEMEA FL) and Mail.ru, and view them as the key beneficiaries of internet sector growth in Russia. We believe the market -
Comparative Analysis of Yandex and Google Search Engines
Anna Paananen Comparative Analysis of Yandex and Google Search Engines Helsinki Metropolia University of Applied Sciences Master’s Degree Information Technology Master’s Thesis 26 May 2012 PREFACE Working in NetBooster Finland as an International Project Manager specialized in Russian market I’ve been asked many times about differences between the search engines Yandex and Google. This Master’s Thesis is the outcome of my professional experience in the Search Engine Optimisation field in Russia and Finland. I would like to thank all the people from NetBooster Finland and Helsinki Metropolia University of Applied Sciences who has helped me in the development of the study. Special thanks to my instructors Timo-Pekka Jäntti and Ville Jääskeläinen for all the support, both in technical and non-technical matters. I would like to thank also my collegues from NetBooster Finland for their help and support while writing the thesis. Last but not least I would like to thank my mother Tamara Kapitonova, who always has been my prior motivator for the education, and of course to my lovely husband Jukka Paananen for his inconditional support and patience. Helsinki, May 26, 2012 Anna Paananen Author(s) Anna Paananen Title Comparative Analysis of Google and Yandex Search Engines Number of Pages 51 pages + 1 appendix Date 26 May 2012 Degree Master’s Degree Degree Programme Degree Programme in Information Technology Specialisation option Instructor Timo-Pekka Jäntti, Supervisor This thesis presents a comparative analysis of algorithms and information retrieval performance of two search engines: Yandex and Google in the Russian language. Comparing two search engines is usually done with user satisfaction studies and market share measures in addition to the basic comparison measures. -
Echolock: Towards Low Effort Mobile User Identification
EchoLock: Towards Low Effort Mobile User Identification Yilin Yang Chen Wang Yingying Chen Rutgers University Louisiana State University Rutgers University yy450@scarletmail. [email protected] ∗ yingche@scarletmail. rutgers.edu rutgers.edu Yan Wang Binghamton University [email protected] ABSTRACT User identification plays a pivotal role in how we interact with our mobile devices. Many existing authentication ap- proaches require active input from the user or specialized sensing hardware, and studies on mobile device usage show significant interest in less inconvenient procedures. In this paper, we propose EchoLock, a low effort identification scheme that validates the user by sensing hand geometry via com- modity microphones and speakers. These acoustic signals produce distinct structure-borne sound reflections when con- tacting the user’s hand, which can be used to differentiate Figure 1: Capture of hand biometric informa- between different people based on how they hold their mo- tion embedded in structure-borne sound using bile devices. We process these reflections to derive unique commodity microphones and speakers. acoustic features in both the time and frequency domain, convenient practices [37]. Techniques such as facial recog- which can effectively represent physiological and behavioral nition or fingerprinting provide fast validation without traits, such as hand contours, finger sizes, holding strength, requiring considerable effort from the user, but demand and gesture. Furthermore, learning-based algorithms are de- dedicated hardware components that may not be avail- veloped to robustly identify the user under various environ- able on all devices. This is of particular importance in ments and conditions. We conduct extensive experiments markets of developing countries, where devices such as with 20 participants using different hardware setups in key the Huawei IDEOS must forgo multiple utilities in or- use case scenarios and study various attack models to demon- der to maintain affordable price points (e.g. -
Factory Model Device Model
Factory Model Device Model Acer A1-713 acer_aprilia Acer A1-811 mango Acer A1-830 ducati Acer A3-A10 G1EA3 Acer A3-A10 mtk6589_e_lca Acer A3-A10 zara Acer A3-A20 acer_harley Acer A3-A20FHD acer_harleyfhd Acer Acer E320-orange C6 Acer Aspire A3 V7 Acer AT390 T2 Acer B1-723 oban Acer B1-730 EverFancy D40 Acer B1-730 vespatn Acer CloudMobile S500 a9 Acer DA220HQL lenovo72_we_jb3 Acer DA222HQL N451 Acer DA222HQLA A66 Acer DA222HQLA Flare S3 Power Acer DA226HQ tianyu72_w_hz_kk Acer E330 C7 Acer E330 GT-N7105T Acer E330 STUDIO XL Acer E350 C8n Acer E350 wiko Acer G100W maya Acer G1-715 A510s Acer G1-715 e1808_v75_hjy1_5640_maxwest Acer Icona One 7 vespa Acer Iconia One 7 AT1G* Acer Iconia One 7 G1-725 Acer Iconia One 7 m72_emmc_s6_pcb22_1024_8g1g_fuyin Acer Iconia One 7 vespa2 Acer Iconia One 8 vespa8 Acer Iconia Tab 7 acer_apriliahd Acer Iconia Tab 8 ducati2fhd Acer Iconia Tab 8 ducati2hd Acer Iconia Tab 8 ducati2hd3g Acer Iconia Tab 8 Modelo II - Professor Acer Iconia Tab A100 (VanGogh) vangogh Acer Iconia Tab A200 s7503 Acer Iconia Tab A200 SM-N9006 Acer Iconia Tab A501 ELUGA_Mark Acer Iconia Tab A501 picasso Acer Iconia Tab A510 myPhone Acer Iconia Tab A510 picasso_m Acer Iconia Tab A510 ZUUM_M50 Acer Iconia Tab A701 picasso_mf Acer Iconia Tab A701 Revo_HD2 Acer Iconia TalkTab 7 acer_a1_724 Acer Iconia TalkTab 7 AG CHROME ULTRA Acer Liquid a1 Acer Liquid C1 I1 Acer Liquid C1 l3365 Acer Liquid E1 C10 Acer Liquid E2 C11 Acer Liquid E3 acer_e3 Acer Liquid E3 acer_e3n Acer Liquid E3 LS900 Acer Liquid E3 Quasar Acer Liquid E600 e600 Acer Liquid -
Class of 1964 Th 50 Reunion
Class of 1964 th 50 Reunion BRANDEIS UNIVERSITY 50th Reunion Special Thanks On behalf of the Offi ce of Development and Alumni Relations, we would like to thank the members of the Class of 1964 Reunion Committee Joel M. Abrams, Co-chair Ellen Lasher Kaplan, Co-chair Danny Lehrman, Co-chair Eve Eisenmann Brooks, Yearbook Coordinator Charlotte Glazer Baer Peter A. Berkowsky Joan Paller Bines Barbara Hayes Buell Je rey W. Cohen Howard G. Foster Michael D. Freed Frederic A. Gordon Renana Robkin Kadden Arnold B. Kanter Alan E. Katz Michael R. Lefkow Linda Goldman Lerner Marya Randall Levenson Michael Stephen Lewis Michael A. Oberman Stuart A. Paris David M. Phillips Arnold L. Reisman Leslie J. Rivkind Joe Weber Jacqueline Keller Winokur Shelly Wolf Class of 1964 Timeline Class of 1964 Timeline 1961 US News • John F. Kennedy inaugurated as President of the United World News States • East Germany • Peace Corps offi cially erects the Berlin established on March Wall between East 1st and West Berlin • First US astronaut, to halt fl ood of Navy Cmdr. Alan B. refugees Shepard, Jr., rockets Movies • Beginning of 116.5 miles up in 302- • The Parent Trap Checkpoint Charlie mile trip • 101 Dalmatians standoff between • “Freedom Riders” • Breakfast at Tiffany’s US and Soviet test the United States • West Side Story Books tanks Supreme Court Economy • Joseph Heller – • The World Wide decision Boynton v. • Average income per TV Shows Catch 22 Died this Year Fund for Nature Virginia by riding year: $5,315 • Wagon Train • Henry Miller - • Ty Cobb (WWF) started racially integrated • Unemployment: • Bonanza Tropic of Cancer • Carl Jung • 40 Dead Sea interstate buses into the 5.5% • Andy Griffi th • Lewis Mumford • Chico Marx Scrolls are found South. -
Final Study Report on CEF Automated Translation Value Proposition in the Context of the European LT Market/Ecosystem
Final study report on CEF Automated Translation value proposition in the context of the European LT market/ecosystem FINAL REPORT A study prepared for the European Commission DG Communications Networks, Content & Technology by: Digital Single Market CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report This study was carried out for the European Commission by Luc MEERTENS 2 Khalid CHOUKRI Stefania AGUZZI Andrejs VASILJEVS Internal identification Contract number: 2017/S 108-216374 SMART number: 2016/0103 DISCLAIMER By the European Commission, Directorate-General of Communications Networks, Content & Technology. The information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the Commission. The Commission does not guarantee the accuracy of the data included in this study. Neither the Commission nor any person acting on the Commission’s behalf may be held responsible for the use which may be made of the information contained therein. ISBN 978-92-76-00783-8 doi: 10.2759/142151 © European Union, 2019. All rights reserved. Certain parts are licensed under conditions to the EU. Reproduction is authorised provided the source is acknowledged. 2 CEF AT value proposition in the context of the European LT market/ecosystem Final Study Report CONTENTS Table of figures ................................................................................................................................................ 7 List of tables .................................................................................................................................................. -
A Survey of Collaborative Web Search Through Collaboration Among Search Engine Users to More Relevant Results
A Survey of Collaborative Web Search Through Collaboration among Search Engine Users to More Relevant Results Pavel Surynek Faculty of Mathematics and Physics, Charles University in Prague, Malostranské náměstí 25, Prague, Czech Republic Keywords: Collaborative Web Search, Social Search, Search Engine, Search Results, Collaborative Filtering, Recommender Systems, System Integration. Abstract: A survey on collaborative aspects of web search is presented in this paper. Current state in full-text web search engines with regards on users collaboration is given. The position of the paper is that it is becoming increasingly important to learn from other users searches in a collaborative way in order to provide more relevant results and increase benefit from web search sessions. Recommender systems represent a rich source of concepts that could be employed to enable collaboration in web search. A discussion of techniques used in recommender systems is followed by a suggestion of integration web search with recommender sys- tems. An initial experience with web search powering small academic site is reported finally. 1 INTRODUCTION AND assumption that a series of queries characterize the effort of what the user want to find better than the MOTIVATION single query. The typical search engine however does not help in this effort – users are put into isola- Web search is an area of the information technology tion typically which precludes any cooperation and industry where artificial intelligence and particularly recommendation from other users based on past knowledge engineering techniques can be applied queries. To be honest, for instance the Bing search with potentially significant impacts. Currently users engine (more correctly the decision engine) uses face a still increasing amount of data of many kinds certain technology that provide search results based that can be accessed through web (textual data, mul- on user’s search history and geographical location. -
Efficient Marketing Communications Towards Russian Customers. Case: Grande Orchidée Fashion Center
Saimaa University of Applied Sciences Faculty of Business Administration, Lappeenranta Degree Programme in International Business Specialisation in International Business Bachelor's Thesis 2014 Ekaterina Evtikhevich Efficient Marketing Communications towards Russian Customers. Case: Grande Orchidée Fashion Center Bachelor's Thesis 2014 ABSTRACT Ekaterina Evtikhevich Efficient Marketing Communications towards Russian Customers. Case: Grande Orchidée Fashion Center, 47 pages, 2 appendices Saimaa University of Applied Sciences Faculty of Business Administration, Lappeenranta Degree Programme in International Business Specialisation in International Business Bachelor’s Thesis 2014 Instructor: Principal Lecturer Minna Ikävalko, Saimaa University of Applied Sciences The objective of this thesis was to research what are the most efficient market- ing communications of Grande Orchidée Fashion Center towards Russian customers. The focus was kept on individual customers who come regularly to do shopping in Lappeenranta. The theory part of this research work includes an examination of conventional theories of marketing communication tools and analysis of modern marketing in Russia. The empirical part was implemented by studying the current marketing com- munications of the company. The data collection methods included a semi structured interview with the CEO's assistant at the company and a customer survey. The outcomes showed the most efficient communication channels that can be utilized and that can positively contribute to the company's marketing -
The Competitiveness Analysis of the European Language Technology Market
Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 3381–3389 Marseille, 11–16 May 2020 c European Language Resources Association (ELRA), licensed under CC-BY-NC The Competitiveness Analysis of the European Language Technology Market Andrejs Vasiļjevs, Inguna Skadiņa, Indra Sāmīte, Kaspars Kauliņš, Ēriks Ajausks, Jūlija Meļņika and Aivars Bērziņš Tilde Vienibas gatve 75a, Riga, Latvia {fistname.lastname}@tilde.lv Abstract This paper presents the key results of a study on the global competitiveness of the European Language Technology market for three areas – machine translation, speech technology, and cross-lingual search. EU competitiveness is analyzed in comparison to North America and Asia. The study focuses on seven dimensions (research, innovations, investments, market dominance, industry, infrastructure, and Open Data) that have been selected to characterize the language technology market. The study concludes that while Europe still has strong positions in Research and Innovation, it lags behind North America and Asia in scaling innovations and conquering market share. Keywords: competitiveness analysis, language technology market, machine translation, speech technology, cross-lingual search search technologies are covered in more detail, while only 1. Introduction the essence is included for machine translation because it has already been discussed by Vasiljevs et al. (2019b). This paper provides the key results of the competitiveness analysis of the European Language Technology (LT) market -
Update 6: Internet Society 20Th Anniversary and Global INET 2012
Update 6: Internet Society 20th Anniversary and Global INET 2012 Presented is the latest update (edited from the previous “Update #6) on the Global INET 2012 and Internet Hall of Fame. Executive Summary By all accounts, Global INET was a great success. Bringing together a broad audience of industry pioneers; policy makers; technologists; business executives; global influencers; ISOC members, chapters and affiliated community; and Internet users, we hosted more than 600 attendees in Geneva, and saw more than 1,300 participate from remote locations. Global INET kicked off with our pre‐conference programs: Global Chapter Workshop, Collaborative Leadership Exchange and the Business Roundtable. These three programs brought key audiences to the event, and created a sense of energy and excitement that lasted through the week. Of key importance to the program was our outstanding line‐up of keynotes, including Dr. Leonard Kleinrock, Jimmy Wales, Francis Gurry, Mitchell Baker and Vint Cerf. The Roundtable discussions at Global INET featured critical topics, and included more than 70 leading experts engaged in active dialogue with both our in‐room and remote audiences. It was truly an opportunity to participate. The evening of Monday 23 April was an important night of celebration and recognition for the countless individuals and organizations that have dedicated time and effort to advancing the availability and vitality of the Internet. Featuring the Internet Society's 20th Anniversary Awards Gala and the induction ceremony for the Internet Hall of Fame, the importance of the evening cannot be understated. The media and press coverage we have already received is a testament to the historic nature of the Internet Hall of Fame. -
The Global Gender Digital Divide and Its Implications for Women’S Human Rights and Equality
TREUTHART 02.27.20 330 PM FINAL.DOCX (DO NOT DELETE) 3/13/20 2:12 PM CONNECTIVITY: THE GLOBAL GENDER DIGITAL DIVIDE AND ITS IMPLICATIONS FOR WOMEN’S HUMAN RIGHTS AND EQUALITY Mary Pat Treuthart* I. INTRODUCTION ............................................................................................ 2 II. BENEFITS OF WOMEN’S MEANINGFUL AND SUBSTANTIAL ACCESS TO ICTS .................................................................................................... 5 A. Economic and Educational Empowerment ................................. 5 B. Political Participation and Mobilization ..................................... 9 C. Development of Voice and Agency ............................................ 12 III. BARRIERS TO WOMEN’S ACCESS TO ICTS ............................................. 14 IV. THE SPECIAL PROBLEM OF CYBERVIOLENCE AGAINST WOMEN & GIRLS ........................................................................................................... 16 A. Terminology and Definitions ..................................................... 17 B. The Extent of Cyberviolence ...................................................... 20 C. Addressing the Ongoing Threat of CyberVAWG ....................... 21 D. Other Approaches: Forms of Informal Justice .......................... 25 E. Possible Backlash ...................................................................... 27 F. Countering Violence against Women by Using ICTs ................ 29 V. INTERNET ACCESS AND ITS IMPLICATIONS FOR HUMAN RIGHTS ........... 32 A. Internet Access -
Gender, Information Technology, and Developing Countries: an Analytic Study
Gender, Information Technology, and Developing Countries: An Analytic Study By Nancy Hafkin and Nancy Taggart Academy for Educational Development (AED) For the Office of Women in Development Bureau for Global Programs, Field Support and Research United States Agency for International Development June 2001 ACKNOWLEDGMENTS This document has been produced under AED's Global Communications and Learning Systems (LearnLink) Project of the Human Capacity Development Center in USAID's Global Bureau, a five-year, Indefinite Quantities Contract No. HNE-1-00-96-00018-00, and Task Order 2432-21. AED acknowledges and thanks USAID's Office of Women in Development for their sponsorship and this opportunity to prepare an analytical study of the gender implications in the spread of information technology. Also, AED expresses its appreciation to Cisco Systems and the Cisco Learning Institute for their support of AED's research on women in technology training. AED gathered much of the data on information technology education and training included in this paper as part of a project funded by the Cisco Learning Institute entitled Support for Gender Strategies in the Cisco Networking Academy Program, Contract No. 12-2789. The following persons are recognized for their contribution of photographs for the paper: · Sergio Aranda (photo on page 48) · Sonia Arias (photo on page 63) · Sabina Béhague (photo on page 71) · CATT-PILOTE staff (photo on the cover and page 88) · Mary Fontaine (photos on the inside cover and pages 18, 35, and 53) · Nancy Hafkin (photo on page 73) · Linda Leonard (photo on page 97) · LTNet staff (photos on page 12 and 67) · Glenn Strachan (photo on page 43) · Photographer, unknown (photo on page 83) · Frederick Wamala (photo on page 23) Finally, thanks go to the team of LearnLink staff and readers that worked diligently to finalize production copy.