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Geneva, Switzerland, 1-2 September 2011 14 Brazilian Experience: the IXPs Case Brazil’s success has been a product of several factors coinciding: the CGI takes the long view, with a consistent program of economic development, rather than short- term one-off projects. (...) Geneva, Switzerland, 1-2 September 2011 15 Brazilian Experience: the IXPs Case IXPs in Brazil – Current localizations Geneva, Switzerland, 1-2 September 2011 16 Brazilian Experience: the IXPs Case IXPs – Current Members Situation Geneva, Switzerland, 1-2 September 2011 17 Locality Current Members Growth (2010-2011) Americana 11 - Belem 4 - Belo Horizonte 17 240% Brasília 13 30% Campina Grande 10 200% Campinas 19 6% Caxias do Sul 4 - Curitiba 24 40% Florianópolis 10 11% Fortaleza 11 35% Brazilian Experience: the IXPs Case Geneva, Switzerland, 1-2 September 2011 18 Locality Current Members Growth (2010-2011) Goiânia 12 300% Londrina 16 45% Natal 3 - Porto Alegre 34 25% Recife 5 0% Rio de Janeiro 19 6% Salvador 22 175% São Jose dos Campos 8 - São Paulo 242 72% Vitoria 4 - Brazilian Experience: the IXPs Case IXPs – Current Traffic Situation Geneva, Switzerland, 1-2 September 2011 19 Locality Traffic (Peak /day) Tráffic (Average/day) Growth (%) Americana 15.5 Mbps 6.9 Mbps - Belém - - - Belo Horizonte 771 Mbps 450 Mbps 800 Brasília 1.3 Gbps 770 Mbps 77 Campina Grande 30 Mbps 13 Mbps 61 Campinas 1.12 Gbps 637 Mbps 49 Caxias do Sul - - - Curitiba 2.9 Gbps 1.5 Gbps 30 Florianópolis 255 Mbps 120 Mbps 13 Fortaleza 535 Mbps 280 Mbps 550 Brazilian Experience: the IXPs Case Geneva, Switzerland, 1-2 September 2011 20 Locality Traffic (Peak/day) Traffic (average/day) Growth (%) Goiânia 7 Mbps 2 Mbps - Londrina 780 Mbps 480 Mbps 400 Natal - - - Porto Alegre 1.8 Gbps 975 Mbps -6 Recife 16 Mbps 3.4 Mbps - Rio de Janeiro 921 Mbps 540 Mbps 45 Salvador 1.33 Gbps 514 Mbps 750 São Jose dos Campos 166 Mbps 95 Mbps - São Paulo 60 Gbps 35 Gbps 72 Vitoria 4 Mbps 1 Mbps - Brazilian Experience: the IXPs Case Traffic Transfer - Monthly Geneva, Switzerland, 1-2 September 2011 21 Aug/2007 Dec/2007 Apr/2008 Aug/2008 Dec/2008 Apr/2009 Aug/2009 Dec/2009 Apr/2010 Aug/2010 Dec/2010 Apr/2011 Aug/2011 0 2000 4000 6000 8000 10000 12000 14000 Te ra by te s Brazilian Experience: the IXPs Case Evolution of the number of participants Geneva, Switzerland, 1-2 September 2011 22 Brazilian Experience: the IXPs Case Anatel’s Actions - draft General Plan of Competition (“draft PGMC”) the PMS Operators will install PTT in each of 68 registration areas in Brazil’s territory, covering, practically, all Brazilian territory PMS Operators must interconnect ISPs, when required, to attend traffic originated and terminated on their networks. Geneva, Switzerland, 1-2 September 2011 23 Brazilian Experience: the IXPs Case The operation of the IXPs must be open, along the lines of PTTMetro, allowing the neutrality of operational procedures and the efficient traffic exchange with high availability PMS Operators must provide routing capability required for the requested IXPs demand, allowing the release of AS connected to your network Geneva, Switzerland, 1-2 September 2011 24 Conclusions As result of Brazilian’s efforts, the IIC costs have decreasing along the years The decrease of IIC cost made possibile a dramatically growth of number of small ISPs So, the competition also grew, adn many peripherical markets have been covered by small providers The price is decreasing and we are observing that the service is reaching more people every year Geneva, Switzerland, 1-2 September 2011 25 International Internet Connectivity – Brazilian Experience Introduction Introduction Introduction Introduction Introduction Introduction Introduction Brazilian Experience – Actions to Improve National and Regional Infrastructure Brazilian Experience – Actions to Improve National and Regional Infrastructure Brazilian Experience – Actions to Improve National and Regional Infrastructure Brazilian Experience – Actions to Improve National and Regional Infrastructure Brazilian Experience – Actions to Improve National and Regional Infrastructure Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Brazilian Experience: the IXPs Case Conclusions
Language:English
Score: 457971.73 - https://www.itu.int/ITU-D/fina...sion4_Salerme_Presentation.pdf
Data Source: un
Presentazione di PowerPoint Experiences in the Use of Big Data for Official Statistics Antonino Virgillito Istat Think Big - Data innovation in Latin America Santiago, Chile 6th March 2017 Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Introduction The use of Big Data sources for the production of official statistics has been the subject of a lively discussion within the statistical community in recent years, producing a significant body of study and work Particularly, Istat has developed an extensive experience in this area, with several ongoing initiatives We present some of these experiences and highlight results and lessons learned Antonino Virgillito Experiences in the Use of Big Data for Official Statistics The Big Data Global Trend Result of searching “Big Data” in Google Trends Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Everyone started from ground zero, many lessons learned together Several initiatives at national and international level were organized The Path to Big Data in Official Statistics Official statistics community gets involved UNECE Big Data Project (2014 - 2015) ESSnet Big Data project (2016 - 2018) Demonstrate feasibility of production based on Big Data sources Integration of Big Data in the regular production of official statistics Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Experiences in Istat Web Scraping Scraping of enterprise web sites to determine information about enterprises Extraction of prices of products from e-commerce web sites Scanner data Production of CPI Indexes Business Statistics Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Web Scraping Scrape textual content of a large number of web sites and analyze it offline to determine some information through text mining techniques Extract specific information from semi-structured web sites through custom software or automation tools (robots) Two approaches Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Web Scraping Enterprise Web Sites General Objective: to investigate whether web scraping, text mining and inference techniques can be used to collect, process and improve general information about enterprises Enterprises Web sites National Business Register Business Statistics Surveys Crawling Scraping Indexing Searching Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Using Scraped Data Use case 1: URLs Inventory Use case 2: Web sales - ECommerce Use Case 3: Social Media Presence Use Case 4: Job Advertisement Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Use Case 1: URLs Inventory • Main Identified Population (ICT Survey): – Enterprises with at least 10 Employees – Not all of them have a web site, but for those of them that do have it, the URLs of the web sites are not fully available • The URLs Retrieval problem: – Given a set of identifiers (denomination, fiscal code, economic activity, etc.) for the enterprise X, searching the Web for • Retrieving a set of associated URLs • Estimate (if any) which is the URL corresponding to the web site of X Antonino Virgillito Experiences in the Use of Big Data for Official Statistics URLs Inventory: Technique and Results • Steps – Query a search engine for enterprise name – Crawl the returned pages and score them according to content – Classify the results with machine learning approach • Machine learning step – Logisitic model fitted on a training set, and then applied to the set of all other enterprises – Application of the model to the set of unlabeled (i.e. not belonging to the training set) enterprises • Total number of identified URLs equal to about 105,000 out of 130,000 websites pertaining to the enterprises population – 81% coverage Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Use Case 2: Web sales - Ecommerce ICT Survey Predict whether an enterprise provides or not web sales facilities on its website Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Use Case 3: Social Media Presence Information on existence of the particular enterprises in social media (mainly Twitter and Facebook) Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Use Case 4: Job Advertisement Investigating how enterprises use their websites to handle the job advertisements, and in particular if they publish job advertisement or not Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Technique and Results • Prediction realized through different classification algorithms – logistic model, classification trees, random forests, boosting, bagging, neural net, Naive Bayes, SVM • Evaluation of algorithms performance according to different indicators • Quality of results still to be improved – Social media use case almost ready for production Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Web Scraping Prices • The collection of data from the Internet through the extraction of structured content from web pages is an established technique for statistical data collection – Replace repetitive centralized tasks – Possibility for getting more data • Price data is particularly attractive… – A lot of prices on the Internet! – Common practice in European NSIs Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Web Scraping Prices at Istat Consumer electronic products: collection of prices from 4 different e-commerce web sites, including Amazon. (...) Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Scanner Data Starting from 2014 Istat is collecting data from the six major chains of retail data distribution Production in parallel with traditional method is going to start during 2017 Weekly sales and turnover at individual product level Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Scanner Data Data size Not so big in absolute terms, but still uncommon for an NSI 1,4 Billion records of raw data currently in the database Will double during 2017 for the acquisition of the full sample Will continuously grow along years 200Gb after processing Can be used also in other surveys Global historical data warehouse of price data Antonino Virgillito Experiences in the Use of Big Data for Official Statistics Scanner Data The problem with size... • Query time is not satisfactory • IT support required • Aggregated intermediate results in tables • More space!
Language:English
Score: 457971.73 - https://www.cepal.org/sites/de.../files/antonino_virgillito.pdf
Data Source: un
Another way to think about the costs of experiments, is to consider how much does not experimenting cost. (...) It would be wrong to say that experimenting doesn’t have costs involved, it does. Even small-scale experiments take up resources from something else. (...) Do you need to repeat your experiment? Do you need a new experiment? Will you move forward with the solution or do you need more data?
Language:English
Score: 457636.87 - https://www.unhcr.org/innovati...ation-without-experimentation/
Data Source: un
Cooperation and capacity building TBT Cooperation 7 Laura Ceron Aragón EXPERIENCE IN FTA NEGOTIATIONS PERU-JAPON FTA Intellectual Property • Idem TRIPS TBT Cooperation 8 Laura Ceron Aragón EXPERIENCE IN FTA NEGOTIATIONS PERU-SINGAPUR FTA Intellectual Property • No Chapter TBT 9 Laura Ceron Aragón EXPERIENCE IN FTA NEGOTIATIONS PERU-CANADA FTA Intellectual Property • No patents. • No protection of undisclosed test data. TBT 10 Laura Ceron Aragón EXPERIENCE IN FTA NEGOTIATIONS PERU-PACIFIC ALLIANCE FTA Intellectual Property • No chapter on IP. (...) “information” 12 Laura Ceron Aragón EXPERIENCE IN TPP FTA NEGOTIATIONS TECHNICAL BARRIERS TO TRADE Harmonization of: • pharmaceuticals • medical devices • cosmetics • alcoholic beverages • labeling of foods regulations 13 Laura Ceron Aragón EXPERIENCE IN TPP FTA NEGOTIATIONS • INVESTMENT: Non-discriminatory measures to protect public interest do not constitute indirect expropriation.
Language:English
Score: 457395.3 - https://www.wto.org/english/tr...ymp15_e/Laura_trilatsymp_e.pdf
Data Source: un
Related to these messages this contribution reports result of 2 experiments as follows: Experiment -1: Comparison of with & without Temporal Predictor Experiment -2: Code Number Swapping of Motion Predictors Introduction 1 Experiment -1: Comparison of with & without Temporal Predictor In AVC temporal predictor is employed only with direct mode. (...) Right now configuration of motion vector predictors is still in SPS, not in SliceHeader. 2.1 Simulation Condition In Table 3.1 simulation conditions for experiment -1 is shown. Table 3.1 2.2 Simulation Result 3 Conclusion In this contribuiton we have reported results with 2 kinds of experiments on AMVP: Experiment -1: Comparison of with & without Temporal Predictor, and Experiment -2: Code Number Swapping of Motion Predictors. The result with Experiment -1 shows that the temporal predictor contributes to coding efficiency by – %.
Language:English
Score: 457256.84 - https://www.itu.int/wftp3/av-a..._10_C_Guangzhou/JCTVC-C166.doc
Data Source: un
The final number of team members who will participate in the experiment on site at the LDC facility depends strictly on the requirements of the experiment and is subject to approval by the Selection Board of the HyperGES Fellowship Programme. (...) Selection criteria  The scientific and/or technological value of the proposed experiment,  The relevance of hypergravity in the proposed experiment,  The relevance of the LDC utilisation in the proposed experiment, The general feasibility of the proposed experimental setup and procedure,  The involvement of the proposed experiment in the students' syllabuses,  The organisation realising the planned research project,  The availability of financial resources to support development, preparation, transportation, and shipping experiment,  The overall presentation of the experiment proposal  The communication and dissemination plan  Inclusiveness (e.g. in case of proposals with the same score, the shares of men and women in the teams will be compared. (...) ESA/ESTEC will provide scientific and technical consulting, service and support to the selected team for smoothly completing the experiment cycle. The selected research team will bear the expenses for the experiment development, preparation, transportation and shipping as well as insurance of the experiment.
Language:English
Score: 456998.6 - https://www.un.org/ar/academic...ameter-centrifuge-hypergravity
Data Source: un
The final number of team members who will participate in the experiment on site at the LDC facility depends strictly on the requirements of the experiment and is subject to approval by the Selection Board of the HyperGES Fellowship Programme. (...) Selection criteria  The scientific and/or technological value of the proposed experiment,  The relevance of hypergravity in the proposed experiment,  The relevance of the LDC utilisation in the proposed experiment, The general feasibility of the proposed experimental setup and procedure,  The involvement of the proposed experiment in the students' syllabuses,  The organisation realising the planned research project,  The availability of financial resources to support development, preparation, transportation, and shipping experiment,  The overall presentation of the experiment proposal  The communication and dissemination plan  Inclusiveness (e.g. in case of proposals with the same score, the shares of men and women in the teams will be compared. (...) ESA/ESTEC will provide scientific and technical consulting, service and support to the selected team for smoothly completing the experiment cycle. The selected research team will bear the expenses for the experiment development, preparation, transportation and shipping as well as insurance of the experiment.
Language:English
Score: 456998.6 - https://www.un.org/hi/academic...ameter-centrifuge-hypergravity
Data Source: un
The final number of team members who will participate in the experiment on site at the LDC facility depends strictly on the requirements of the experiment and is subject to approval by the Selection Board of the HyperGES Fellowship Programme. (...) Selection criteria  The scientific and/or technological value of the proposed experiment,  The relevance of hypergravity in the proposed experiment,  The relevance of the LDC utilisation in the proposed experiment, The general feasibility of the proposed experimental setup and procedure,  The involvement of the proposed experiment in the students' syllabuses,  The organisation realising the planned research project,  The availability of financial resources to support development, preparation, transportation, and shipping experiment,  The overall presentation of the experiment proposal  The communication and dissemination plan  Inclusiveness (e.g. in case of proposals with the same score, the shares of men and women in the teams will be compared. (...) ESA/ESTEC will provide scientific and technical consulting, service and support to the selected team for smoothly completing the experiment cycle. The selected research team will bear the expenses for the experiment development, preparation, transportation and shipping as well as insurance of the experiment.
Language:English
Score: 456998.6 - https://www.un.org/ru/academic...ameter-centrifuge-hypergravity
Data Source: un
The final number of team members who will participate in the experiment on site at the LDC facility depends strictly on the requirements of the experiment and is subject to approval by the Selection Board of the HyperGES Fellowship Programme. (...) Selection criteria  The scientific and/or technological value of the proposed experiment,  The relevance of hypergravity in the proposed experiment,  The relevance of the LDC utilisation in the proposed experiment, The general feasibility of the proposed experimental setup and procedure,  The involvement of the proposed experiment in the students' syllabuses,  The organisation realising the planned research project,  The availability of financial resources to support development, preparation, transportation, and shipping experiment,  The overall presentation of the experiment proposal  The communication and dissemination plan  Inclusiveness (e.g. in case of proposals with the same score, the shares of men and women in the teams will be compared. (...) ESA/ESTEC will provide scientific and technical consulting, service and support to the selected team for smoothly completing the experiment cycle. The selected research team will bear the expenses for the experiment development, preparation, transportation and shipping as well as insurance of the experiment.
Language:English
Score: 456998.6 - https://www.un.org/es/academic...ameter-centrifuge-hypergravity
Data Source: un
The final number of team members who will participate in the experiment on site at the LDC facility depends strictly on the requirements of the experiment and is subject to approval by the Selection Board of the HyperGES Fellowship Programme. (...) Selection criteria  The scientific and/or technological value of the proposed experiment,  The relevance of hypergravity in the proposed experiment,  The relevance of the LDC utilisation in the proposed experiment, The general feasibility of the proposed experimental setup and procedure,  The involvement of the proposed experiment in the students' syllabuses,  The organisation realising the planned research project,  The availability of financial resources to support development, preparation, transportation, and shipping experiment,  The overall presentation of the experiment proposal  The communication and dissemination plan  Inclusiveness (e.g. in case of proposals with the same score, the shares of men and women in the teams will be compared. (...) ESA/ESTEC will provide scientific and technical consulting, service and support to the selected team for smoothly completing the experiment cycle. The selected research team will bear the expenses for the experiment development, preparation, transportation and shipping as well as insurance of the experiment.
Language:English
Score: 456998.6 - https://www.un.org/fr/academic...ameter-centrifuge-hypergravity
Data Source: un