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 equaling ‘three to four orders of
magnitude more’ than the amount of CO2 emitted to make them.
Language:English
Score: 1075528.8
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https://www.itu.int/en/ITU-T/f..._Att1_FG-AI4EE-TR-D.WG3-01.pdf
Data Source: un
Energy costs have been reduced by 14% by implement- ing heat recovery at syrup preparation unit, installing a frequency variator on compressors and a compressed air recovery system at PET bottle blowing machine. CO2 emissions were reduced by 464 tons/year.
(...) These included: recovery of final CIP rinse of the filling machine and of rinsing PET bottles/cans into the water treatment system for washing of sand and carbon filters and for production of softened water; installation of on- line conductivity/pH transmitters for product recovery during in- line transfer between tanks and equipment; soda recovery after cleaning of the PET and can lines. (...) CO2 supply system: 10% of the CO2 consumption correspond- ing to 80 tons/year has been recovered and reused at the cans filling lines. In addition, the evaporation of liquid CO2 has been performed using heat recovery from the water inlet (40°C) to the cooling tower, by installing a company designed heat exchanger.
Language:English
Score: 1073806.6
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https://www.unido.org/sites/de...7802_Factsheet_SNB_Ebook_0.pdf
Data Source: un
Pad Man is inspired by a rural welder in southern India, Arunachalam Muruganantham, who devoted 20 years of his life to creating a machine which made low-cost sanitary pads.
He was inspired to create an inexpensive pad after seeing his wife use rags during her monthly cycle, just like 88 per cent of the females in India who do not have access to sanitary products.
(...) Muruganantham’s mini-machines, which can manufacture sanitary pads for less than one-third of the cost of commercial pads, are now installed in at least 23 of India’s 29 states.
(...) He then used an old soccer-ball bladder filled with goat blood around his hips to test his sanitary pads.
Language:English
Score: 1072726.6
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https://news.un.org/en/story/2018/02/1002291
Data Source: un
Second meeting of ITU-T Focus Group M2M
- 4 -
INTERNATIONAL TELECOMMUNICATION UNION
Focus Group on MACHINE-TO-MACHINE SERVICE LAYER
TELECOMMUNICATION STANDARDIZATION SECTOR
STUDY PERIOD 2009-2012
English only
Original: English
San Jose, California, USA, 13-15 November 2012
MEETING ANNOUNCEMENT
Source:
TSB
Title:
Fourth meeting of FG M2M, San Jose, California, USA from 13-15 November 2012
1 The fourth meeting of ITU-T Focus Group on Machine-to-Machine Service Layer (FG M2M) is scheduled to take place from 13-15 November 2012 inclusive, in San Jose, California, USA, at the kind invitation of Cisco Systems, Inc.
2 The results from the last meeting of FG M2M are available at http://ifa.itu.int/t/fg/m2m/docs/1208-Geneva/out/ . (...) To easily provide you with any updates concerning the meeting planning, please fill in your valid e-mail address on your registration form.
9 We would remind you that citizens of some countries are required to obtain a visa in order to enter and spend any time in USA. (...) In order to obtain the invitation letter, please:
a) Fill out the form below
b) Send it to (please reference “Invitation letter request for ITU-T FG M2M meeting” as the subject):
Ms Filomena Pereira
Tel: +1-408-525-4891
Email: fpereira@cisco.com
(It is recommended to scan your passport page and email it to us so that it is discernible and can be used.).
Language:English
Score: 1072067
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https://www.itu.int/en/ITU-T/f...ouncement-sanjose-november.doc
Data Source: un
Mind power for assistive technologies
Microsoft Health Innovation Awards
www.braincontrol.com
Degenerative neuromuscular
diseases, ischemic or traumatic injuries
causes paralysis and communications
problems 3
20
MILLIONS OF PEOPLE WITH SEVERE DISABILITIES
millions of people with disabilities140
… with tetraplegia
… in LIS/CLIS
BRAINCONTROL WORKS LIKE A MENTAL JOYSTICK
WHEELCHAIRCOMMUNICATOR DOMOTIC CONTROL ROBOTICS
INPUT
PATTERNS RECOGNITION
CONTROL
MACHINE LEARNING ARTIFICIAL INTELLIGENCE BRAIN-COMPUTER INTERFACE
OUR PROPRIETARY SOFTWARE
THANKS TO BRAINCOTROL MANY PATIENTS IN LIS/CLIS ARE TODAY ABLE TO INTERACT AND COMMUNICATE
VIDEO: https://bit.ly/2J1aOMf
https://bit.ly/2J1aOMf
Non severe dis. Severe disabilities Locked-In State Complete LISPatients
Augmentative Alternative
Communication Tools
Functional/Cognitive Assesment
tools
AAC product A
AAC product B
AAC product C
Technological void
for most LIS patients
Lack of personalized and adaptive
solutions
Diagnostic tools
Lack of tools for
precise diagnosis
12
3
3 MAIN ISSUES
It fills a technological void for LIS patients
Smart Multimodal Platform for AAC
Effective Cognitive/Functional Assessment tool
SMART MULTIMODAL PLATFORM OUR DISRUPTIVE INNOVATION
Voice
Motion
BCI
Augmentative Alternative Communication
Functional/Cognitive Assessment
Robotics Eye-tracking
INNOVATIVE
MODULAR
125
Protocol defined
Class I medical device
Together with these results we have obtained the CE mark.
Language:English
Score: 1072037.7
-
https://www.itu.int/en/ITU-D/R..._BrainControl%20-%20v4.0.3.pdf
Data Source: un
ITU-T does a lot of technical work related to machine learning in its focus groups – six of which have AI or machine learning in their title – and in its study groups. (...) Network operators have used machine learning for some time, but not at the network level. (...) On the other hand, machine learning could also be useful in the standardization process.
Language:English
Score: 1069505.7
-
https://www.itu.int/hub/2021/1...rom-the-ai-ml-in-5g-challenge/
Data Source: un
FG ML5G - Unified architecture for machine learning in 5G and future networks - ITU Hub
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FG ML5G – Unified architecture for machine learning in 5G and future networks
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Language:English
Score: 1068333
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https://www.itu.int/hub/publication/t-fg-ml5g-2019/
Data Source: un
Seam welding Seam-welding machines are used in the manufacture of ventilation ducting and cans. The machines that are used for straight seams can be modified to use a mercury-free technique. (...) Large quantities of mercury are stored in society in the form of amalgam fillings. An estimated 74% of the adult Swedish population has amalgam fillings [SOU2003:53].
Language:English
Score: 1068330.6
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https://www.who.int/ifcs/docum.../forums/forum5/rapport4_04.pdf
Data Source: un
How might we verify the compatibility of machine-learning applications in 5G networks with legacy fixed and mobile communication networks?
Are machine-learning capabilities and human expertise complementary? (...) Authors of outstanding papers will be invited to contribute to the work of the ITU Focus Group on Machine Learning for Future Networks including 5G .
Language:English
Score: 1066933.6
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https://www.itu.int/hub/2020/0...-deadline-extended-to-25-june/
Data Source: un
In the future, 200 billion to 1 trillion devices (e.g. toaster, washing machine and microwave) are likely to be connected through internet. (...) They are willing to move up in the value chain as they feel concerned about filling up the pipes and are willing to share revenues with content providers (e.g. bundled internet and music access). 125’000 developers are dedicated to 85’000 applications for iPhone.
Language:English
Score: 1061907.9
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https://www.itu.int/wftp3/Publ...ew/web/WebSearch/page0087.html
Data Source: un