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Lifecycle monitoring is critical to risk management and cybersecurity. 2 SaMD – Data Lifecycle Safety Risk Management Privacy Risk Management Cybersecurity Risk Management This Venn diagram shows the overlap between the different domains that we are involved with – there’s a subset of AI that is machine learning, and there is a subset of statistics that is data science, and these items overlap in many ways, (CLICK for animations) and now you can see that even the data management process itself has different but overlapping processes to manage safety risk management, privacy risk management, and cybersecurity risk management. 3 NIST Cybersecurity Framework 1.1 Machine learning methods should have requirements for anomaly detection by following a risk-based approach for potential security/privacy issues. 4 Clinical Investigations and Trials Slide 1 Planning Data Plan Acquisition Data Requirements and collection Pre-processing Defined procedures for curating, augmenting and labelling Training Data set partitioning and validation parameters Evaluation Testing (white box versus black box) Performance and repeatability Operations Implementation for user and environment interactions Data Plan: Planning is an important factor in medical device product development, and therefore a plan shall be in place for the acquisition and management of the data, AI model, data set and learning method. (...) This section includes specific requirements for the proper disposal of the data cycle Question and Answer Discussion “So all you renegades with too much time on your hands, stop fooling yourself and come sail away with this Blue Collar Man on a mission to use AI to rehumanize healthcare” Pat Q&A Wrap UP 7 .MsftOfcThm_Accent1_Fill_v2 { fill:#4472C4; } .MsftOfcThm_Accent1_Stroke_v2 { stroke:#4472C4; }
Language:English
Score: 1102591.4 - https://www.itu.int/en/ITU-T/f...ocuments/all/FGAI4H-N-030.pptx
Data Source: un
Local Universities Exhibit - ITU Kaleidoscope 2018 Committed to connecting the world Search for: ITU General Secretariat Radiocommunication Standardization About ITU-T Events All Groups Standards Resources BSG Study Groups Regional Presence Join ITU-T Development ITU Telecom Members' Zone Join ITU Local Universities Exhibit - ITU Kaleidoscope 2018 Rollup Image You are here ITU > Home > ITU-T > Academia and ITU-T > ITU Kaleidoscope Events > Kaleidoscope 2018 > Local Universities Exhibit - ITU Kaleidoscope 2018 Share Page Content 10 This year's Kaleidoscope programme looked into advances in research on machine learning and artificial intelligence techniques for future communication networks, covering all aspects of network design, management, implementation and optimization. This year's conference assisted  ITU standardization experts in capitalizing on machine learning in their preparations for the 5G era and beyond. (...) Page Content 5 Page Content 17 Page Content 18 Page Content 19 Page Content 20 Exhibitors Request a space Page Content 11 Universidad Austral (Argentina) Universidad Distrital Francisco José de Caldas (Colombia) Universidad Nacional de La Plata​ (Argentina) Universidad Nacional del Litoral​ (Argentina) Universidad Nacional de San Luis​ (Argentina) ​ Universidad Tecnoló​​gica Nacional, Facultad Regional Santa Fe​ (Argentina) Page Content 12 If you are interested in exhibiting, please kindly fill in the Exhibit Participation Form and return it to kaleidoscope@itu.int .
Language:English
Score: 1102591.4 - https://www.itu.int/en/ITU-T/a...ocal-universities-exhibit.aspx
Data Source: un
Veterinary certificates and references shall be typed on a typing machine, written with a fountain pen or in ink clearly and distinctly, with obligatory indication of the name of Ukrainian border-crossing (customs) point and country receiving the cargo. (...) Veterinary certificate, its duplicate and counterfoil shall be allowed to be typed on a typing machine, written with a fountain pen with the use of carbon paper, each of the filled out forms of the certificate, duplicate and counterfoil signed separately. (...) Filled out counterfoil of certificates shall be retained for two years. 14.
Language:English
Score: 1099983.2 - https://www.wto.org/english/th...c_e/ukr_e/WTACCUKR44_LEG_5.pdf
Data Source: un
Vibration test: The battery is rigidly clamped to the platform of a vibration machine and a simple harmonic motion having an amplitude of 0.8 mm (1.6 mm maximum total excursion) is applied. (...) The battery must be tested in three mutually perpendicular positions (to include testing with fill openings and vents, if any, in an inverted position) for equal time periods. (...) Vibration test: The battery is rigidly clamped to the platform of a vibration machine and a simple harmonic motion having an amplitude of 0.8 mm (1.6 mm maximum total excursion) is applied.
Language:English
Score: 1099983.2 - https://www.icao.int/safety/Da...s/DGP26/DGP.26.WP.008.2.AR.pdf
Data Source: un
Vibration test: The battery is rigidly clamped to the platform of a vibration machine and a simple harmonic motion having an amplitude of 0.8 mm (1.6 mm maximum total excursion) is applied. (...) The battery must be tested in three mutually perpendicular positions (to include testing with fill openings and vents, if any, in an inverted position) for equal time periods. (...) Vibration test: The battery is rigidly clamped to the platform of a vibration machine and a simple harmonic motion having an amplitude of 0.8 mm (1.6 mm maximum total excursion) is applied.
Language:English
Score: 1099983.2 - https://www.icao.int/safety/Da...s/DGP26/DGP.26.WP.008.2.en.pdf
Data Source: un
Classification of EEE under the six categories (EU-6) EU-6 Full name 1 Temperature exchange equipment 2 Screens, monitors, and equipment containing screens (..) 3 Lamps 4 Large equipment 5 Small equipment 6 Small IT and telecommunication equipment 5 UNU-KEY Description 0001 Central Heating (household installed) 0002 Photovoltaic Panels (incl. inverters) 0101 Professional Heating & Ventilation (excl. cooling equipment) 0102 Dish washers 0103 Kitchen equipment (e.g. large furnaces, ovens, cooking equipment) 0104 Washing Machines (incl. combined dryers) 0105 Dryers (wash dryers, centrifuges) 0106 Household Heating & Ventilation (e.g. hoods, ventilators, space heaters) 0108 Fridges (incl. combi-fridges) 0109 Freezers 0111 Air Conditioners (household installed and portable) 0112 Other Cooling equipment (e.g. dehumidifiers, heat pump dryers) 0113 Professional Cooling equipment (e.g. large air conditioners, cooling displays) 0114 Microwaves (incl. combined, excl. grills) B. Classification of EEE under the UNU-KEYs Introduction Classifications 6 Overview of the WEEE Calculation Tool Front Page DB  Data from UNU estimates  Customised for each country in the world. Pre-filled with data:  Sales  Lifespans  e-waste generated  Data available from 1995 to 2015 7 Entering data in the Calculations tool  Put on Market (sales) Options to select different classifications: 1. (...) UNU categories: 54 categories 8 Entering data in the Calculations tool  Put on Market (sales)  EU-6 categories: 6 categories of EEE PV panels separate entry 9 Lifespan graphs  The sheet “GraphLifespan” provides a graphical representation of the lifespan of a selected product group per UNU-KEY.  After selecting an UNU-KEY and a reference year in the corresponding dropdown the graphs will show the percentages of WEEE generated.  The average lifespan is also shown. 15 Modify data  Need to press “show sheets”  You can modify lifespans directly in the sheet of lifespans Entering data in the Calculations tool  Imports of E-waste / U-EEE – fill in direct in the sheet 2030 11 Entering data in the Calculations tool  Exports of E-waste / U-EEE – fill in direct in the sheet 2030 12 Entering data in the Calculations tool  E-waste Collected and Recycled– fill in direct in the sheet 2030 13 Calculate WEEE Generated (WG) Once the user has entered into the tool the POM data for a year of reference, the tool can calculate the quantity of WEEE generated. 14 Export Results By pressing the button, a new spreadsheet will be created named “Result.xlsx”.
Language:English
Score: 1099779.9 - https://www.itu.int/en/ITU-T/W...ts/Session%207%20-%20Balde.pdf
Data Source: un
WG-DAISAM: Call for participation: Transparent model reporting for trustworthy Machine Learning for Health applications - 2 - FG-AI4H-K-036-R01 INTERNATIONAL TELECOMMUNICATION UNION TELECOMMUNICATION STANDARDIZATION SECTOR STUDY PERIOD 2017-2020 FG-AI4H-K-036-R01 ITU-T Focus Group on AI for Health Original: English WG(s): DAISAM E-meeting, 27-29 January 2021 DOCUMENT Source: WG-DAISAM Title: WG-DAISAM: Call for participation in survey for transparent model reporting for trustworthy Machine Learning for Health applications Purpose: Engagement Contact: Jana Fehr (WG-DAISAM) Hasso-Plattner-Institute Germany Email: jana.fehr@hpi.de Abstract: Transparent model reporting has been suggested as an important checkpoint for regulatory approval for healthcare products using machine learning (ML). (...) Approach and participation procedure 1. Filling out the questionnaire for transparent model reporting We invite owners or developers of health products using machine learning to participate in our survey and answer questions for transparent reporting of their ML4H tool. (...) Guidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view.
Language:English
Score: 1098931.3 - https://www.itu.int/en/ITU-T/f...ents/all/FGAI4H-K-036-R01.docx
Data Source: un
To send the national competency/skills standards in English version to DSD Thailand for review, this was completed since February 2019. ₋ Bricklaying and Plastering – Lao PDR, Cambodia, and Myanmar ₋ Building Electrical Wiring – Cambodia ₋ Sewing Machine Operator – Myanmar 2. To organize respective national workshop for the benchmarking exercise and arrange for observations of training and assessment processes. (...) Paper review and checklist to identify the gap of national competency/skills standard; mechanism of testing and certification systems in Bricklaying and Plastering, Building Electrical Wiring, and Sewing Machine Operator between Thailand and CLM countries; Report of workshops on benchmarking/ referencing of national competency/skills standards in Bricklaying and Plastering, Building Electrical Wiring, and Sewing Machine Operator between Thailand and CLM countries. (...) First mission: DSD to Cambodia, Lao PDR, and Myanmar Date Place Working group 3-5 June 2019 Phnom Penh, Cambodia Group I: Bricklaying, Masonry & Plastering Group II: Building Electrical Wiring 17-19 June 2019 Vientiane, Lao PDR Group I: Bricklaying, Masonry & Plastering 27-31 May 2019 Yangon, Myanmar Group III: Sewing Machine Operator 12-14 June 2019 Yangon, Myanmar Group I: Bricklaying, Masonry & Plastering 2.
Language:English
Score: 1098931.3 - https://www.ilo.org/wcmsp5/gro...eetingdocument/wcms_706777.pdf
Data Source: un
Kaleidoscope 2018 - Machine learning for a 5G future - ITU Hub This website will offer limited functionality in this browser. (...) Skip to content About ITU Radiocommunication Standardization Development Menu News Publications Membership Open site search × ITU User Account News Publications Membership About ITU Radiocommunication Standardization Development Search the site Search Close search form Home Publications Kaleidoscope 2018 – Machine learning for a 5G future Kaleidoscope 2018 – Machine learning for a 5G future 5G Machine learning Network management Download Share on Facebook Share on Twitter Share on LinkedIn Share via URL In this issue In November 2018, ITU held its 10th annual academic conference titled “Machine Learning for a 5G Future.” Out of that conference emerged a dialogue between academics and standardization experts in machine learning in the communications networking industry.
Language:English
Score: 1098931.3 - https://www.itu.int/hub/publication/t-proc-kalei-2018/
Data Source: un
A lifecycle study found that in contrast to a high production scenario, printing just one part a week and leaving the machine on the rest of the time, had roughly ten times the impact per part compared to using the same machine at maximum utilization. (...) Energy impacts depend on the machine design. The following factors can have an influence on 3D printing energy impacts in an industrial environment: – Build volume: This will determine the number of parts that can be printed simultaneously on a specific printer. (...) Recent studies have found that 3D printed metal parts can be up to 50% lighter than machined parts and result in carbon savings in the aeronautical parts-use stage equalling "three to four orders of magnitude more" than the amount of CO2 emitted to make them.
Language:English
Score: 1092226.4 - https://www.itu.int/dms_pub/it...AI4EE-2021-D.WG3.01-MSW-E.docx
Data Source: un