Keywords – Density estimation, heterogeneous nano‑network, sleeping mechanism, routing 1. (...) A heterogeneous In very dense nano‑network(s), a nanonode cannot fre‑ nano‑network is a network composed of zones of different quently update its neighbourhood list. Also, the commu‑ densities. Nowadays, many applications use this type of net‑ nication range is short and the desired destination node is works. (...) Therefore, it is have high nodes’ density while others have a small necessary to have a routing protocol that performs the density due to the varied geographical terrains.
Language:English
Score: 1492751.9
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https://www.itu.int/en/publica...7/files/basic-html/page63.html
Data Source: un
Self-configuring asynchronous sleeping in heterogeneous networks
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Home > ITU Publications > General Secretariat and ITU TELECOM > ITU Journal on Future and Evolving Technologies > Volume 2 (2021) > Issue 7 - Terahertz communications > Article
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Self-configuring asynchronous sleeping in heterogeneous networks Authors: Ali Medlej, Eugen Dedu, Kamal Beydoun, Dominique Dhoutaut Status: Pre-press Date of publication: 11 October 2021 Published in: ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 7 - Terahertz communications, Pages 51-62 Article DOI : https://doi.org/10.52953/FIEM4995
Abstract: Nowadays, the heterogeneous wireless nano-network topology becomes a need for diverse applications based on heterogeneous networks composed of regions of different node densities. In Wireless Nano-networks (WNNs), nodes are of nano-metric size and can be potentially dense in terms of neighbouring nodes. (...) The present study reveals the usefulness of implementing the sleeping mechanism in heterogeneous networks, as well as configuring a dynamic awaken duration for nodes based on a density estimation algorithm. We also proposed an algorithm that helps in increasing the reliability of the packet received by the destination node.
Keywords: Density estimation, heterogeneous nano-network, sleeping mechanism, routing Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
Language:English
Score: 1459394.4
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https://www.itu.int/pub/S-JNL-VOL2.ISSUE7-2021-A05
Data Source: un
BIG DATA FOR GOOD: CAN BIG DATA ILLUSTRATE THE CHALLENGES FACING SYRIAN REFUGEES IN LEBANON?
The features of these tiers allow developers
to automate many actions on Twitter, such as searching
tweets, monitoring an account’s activity, real-time tweet
streaming, advertising on Twitter and automating direct
messages.15 In addition to the APIs created by Twitter
and specially made for developers, multiple open
source packages16 are available that allow scraping for
tweets based on specific keywords, topics, locations and
hashtags.
3. GDELT
4. (...) Examples include predicting sociodemographic indicators
such as population density and economic indicators such
as poverty levels. (...) The authors of “Dynamic population mapping using
mobile phone data”23 use a dataset consisting of more
than 1 billion CDRs from Portugal and France to estimate
the population density at a national and seasonal scale.
They show that not only can a population map be
constructed via CDR population estimation, but this type
of estimation based on daily phone records can show
population dynamics.

Language:English
Score: 1442664.55
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https://daccess-ods.un.org/acc...ESCWA/CL6.GCP/2020/TP.7&Lang=E
Data Source: ods
For example, Programmable object interfaces and devices can be
leveraged to allow the farmers to evaluate the soil conditions, moisture level, livestock feed
levels density and level of pest control. For example, if the level of pest control exceeds
prescribed range, through sensors alarm and alerts can be generated to warn the farmers to take
actions.
The purpose of “Smart Farming” is to increase the quality and quantity of agricultural production
by using sensing technology to make farmers more intelligent and more connected in Indian Sub
continent also across the globe.
Keywords: ICT, Sustainable Agriculture, Precision Farming, Smart Cities, Ecosystem.
Language:English
Score: 1415590
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https://www.itu.int/en/ITU-T/W...s/Rakesh_Lingappa_Abstract.pdf
Data Source: un
Plant Production and Protection Division: Interactions within soil communities
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NSP - Interactions within soil communities
Any community of organisms which is made up of a population of different species there is opportunity for the organisms to interact with each other (Bianchi and Bianchi, 1995). If you consider two different populations living with each other, one of the interactions may occur (see opposite):
Which interaction occurs would depend on the nature of the resources (type and level of food and energy supply), the population density and diversity. For example commensalism favours communities with high diversity whereas neutralism is more likely in communities with a low number of individuals.
Language:English
Score: 1387787.1
-
https://www.fao.org/agricultur...ns-within-soil-communities/vn/
Data Source: un
Plant Production and Protection Division: Interactions within soil communities
english
FAO Home
Plant Production and Protection Division
Thematic sitemap
Information Resources
News, Events, Bulletins
in Keywords
Contacts
NSP - Interactions within soil communities
Any community of organisms which is made up of a population of different species there is opportunity for the organisms to interact with each other (Bianchi and Bianchi, 1995). If you consider two different populations living with each other, one of the interactions may occur (see opposite):
Which interaction occurs would depend on the nature of the resources (type and level of food and energy supply), the population density and diversity. For example commensalism favours communities with high diversity whereas neutralism is more likely in communities with a low number of individuals.
Language:English
Score: 1387787.1
-
https://www.fao.org/agricultur...ns-within-soil-communities/en/
Data Source: un
GE.10-21554
Econom
Each one of these dimensions is also a construct, which can be
measured in a number of ways.
Keywords: measure of compactness, measuring sprawl, spatial dimensions, pattern of
urban development, land use.
(...) Intensity of land or space use — refers to the density dimension
8. As note Torrens and Alberti (2000), there is little agreement in the literature about
density specification with regards to: what variable (activity) to use – housing units,
population, or employment; at which scale to study – metropolitan area, city district, or
neighborhood; over which geography to measure – total area (gross density), or area
designate for residence (net density).
9. (...) The second approach includes calculation
of density attenuation based on urban population density functions, and calculation of
fractal dimension (see Batty and Kwang (1992) and Mesev et al., (1995) for the detailed
discussion).
Language:English
Score: 1367231.5
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daccess-ods.un.org/acce...open&DS=ECE/CES/2010/14&Lang=E
Data Source: ods
The electrical properties of bacteria from this mathematical proposal might be relevant in a prospective implementation of so-called Internet of Bio-Nano Things network, that aims to be characterized for having a very high signal/noise. Keywords – Bessel, classical electrodynamics, Keller-Segel, nanonetwork 1. (...) Since bacteria is = [ ( ) ] − [ ( , ) ( ) ] ( ) transporting a net electric charge, then a plethora of whose meaning of elements of this reads as follows: ways to search their behavior represents an option to use theoretical scenarios of physics interactions and • ( , )= bacteria density, the implcations that would rise in a scenario of bio- • ( , ) = substrate density, nano technology.
Language:English
Score: 1362016.2
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https://www.itu.int/en/publica.../files/basic-html/page133.html
Data Source: un
Most of the world’s poor and food insecure live in rural areas, and although physical distance, relative isolation, lower population density and their own production of food play in favour for rural areas, they are particularly vulnerable to suffering severe impact from the pandemic and the ensuing economic contraction. (...) URL
http://www.fao.org/3/ca8824en/CA8824EN.pdf
Date
2020
Publisher
FAO
Region
Global
Keywords
Coronavirus pandemic (COVID-19) , Disaster & emergency , Hunger , Inequality , Poverty , Rural development , Rural institutions , Rural livelihoods
Policy Theme
Rural Poverty Reduction
URL
https://www.youtube.com/embed/
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Language:English
Score: 1335333.7
-
https://www.fao.org/policy-sup...esources-details/en/c/1273345/
Data Source: un
Fuel-efficient mud stoves in Darfur |KORE - Knowledge Sharing Platform on Resilience| Food and Agriculture Organization of the United Nations
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Fuel-efficient mud stoves in Darfur
Support for widespread adoption of fuel-efficient mud stoves to strengthen resilience to conflict in protracted crises
20/05/2016
Keywords: EU , Food safety , Food security , Gender , Good practices , KORE good practices , Migration , Natural resources (NRM) , Protracted crises and conflicts
The protracted conflict since 2003 in Darfur, Sudan has resulted in massive loss of human lives and assets, disrupted livelihoods and led to severe food insecurity in some areas. (...) Fuel-efficient stoves can make an important contribution in refugee and IDP camps, but also in other areas with high population density and scarce natural resources.
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Score: 1335333.7
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https://www.fao.org/in-action/...practices-details/en/c/461735/
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