Wireless Site-Network for Construction: A Win-Win Strategy for GCs

2003 ◽  
Author(s):  
Suchart Nuntasunti ◽  
Leonhard E. Bernold
Keyword(s):  
Site Network

Establishment of a cross-European field site network in the ALARM project for assessing large-scale changes in biodiversity

2009 ◽  
Vol 164 (1-4) ◽  
pp. 337-348 ◽  
Author(s):  
V. C. Hammen ◽  
J. C. Biesmeijer ◽  
R. Bommarco ◽  
E. Budrys ◽  
T. R. Christensen ◽  
...  
Keyword(s):  
Large Scale ◽  
Field Site ◽  
Site Network

Designing the eLTER Research Infrastructure: representativity, priority regions and recommendations for development

2021 ◽  
Author(s):  
Thomas Ohnemus ◽  
Hannes Mollenhauer ◽  
Michael Mirtl ◽  
Steffen Zacharias
Keyword(s):  
Geographical Distribution ◽  
Building Blocks ◽  
Design Strategy ◽  
Critical Zone ◽  
Research Infrastructure ◽  
Statistical Criterion ◽  
Ecological Data ◽  
Continental Scale ◽  
Site Network ◽  
Combining Information

<p>The integrated European Long-Term Ecosystem, critical zone and socio-ecological Research Infrastructure (eLTER RI) was accepted onto the ESFRI roadmap in 2018. While several existing thematic environmental RIs in Europe focus on impacts of climate change and/or other elements of environmental change, eLTER RI will be the only research infrastructure embracing holistically the integrated impacts of such stressors on a wide variety of European benchmark ecosystems (major geo-eco-sociological systems across the continent’s ecoclimatological zones and Earth’s critical zone). In the beginning of 2020 eLTER RI entered the preparatory phase aiming at the development of the legal, financial and technical maturity required for an ESFRI Research Infrastructure.</p><p>The core of the eLTER RI will be ca. 200 selected sites covering all biogeographical zones in Europe, where biological, biogeochemical, hydrological and socio-ecological data will be collected - according to common standards - and analyzed. The European landscape of LTER sites and national networks has mainly been developed in a bottom-up manner. The sites have mostly been established for different monitoring and research purposes and are heterogeneous in terms of investigated ecosystem types, scales of investigation, complexity and instrumentation. Consequently, the transformation of the selected elements of the eLTER RI into a harmonized, high-performance, complementary and interoperable infrastructure is one of the key challenges of eLTER. Achieving the best possible representativity is on the major building blocks in eLTER’s design strategy.</p><p>To evaluate the representativity of eLTER a novel statistical approach combining information on biogeographical, ecological and socio-economic gradients with the management-relevant distribution of established sites was developed aiming at  i) identification of areas in Europe that are geographically underrepresented by the existing eLTER RI site network, ii) definition of priority regions for the geographical extension of the eLTER site network and, iii) development of suggestions for conceptual and infrastructural upgrades for existing less developed eLTER sites.</p><p>Reference datasets depicting biogeographical, ecological and socio-economical gradients were used to describe underrepresentation with a summation parameter called Aggregated Representedness. This statistical criterion was then used to classify five types of “priority regions” from very low to very high priority for geographical and/or conceptual extension. In a second step this information on priority regions was refined using additional information describing the geographical distribution based on Euclidean distances between established eLTER sites.  The combination of these two analyses allowed to identify less developed eLTER sites most suitable for conceptual and infrastructural upgrades. Thus, the presented analysis provides important information for the development of the design strategy for eLTER RI on the continental scale.</p><p>Concluding, a novel approach combining information on biogeographical, ecological and socio-economic gradients with the management-relevant information on the geographical distribution of established sites was developed. This tool allows to evaluate the strategies for further extension of established site networks. </p>

Development of the Coastal Intensive Site Network (Cisnet)

2000 ◽  
pp. 379-390
Author(s):  
Kevin Summers ◽  
Andrew Robertson ◽  
Barbara Levinson
Keyword(s):  
Site Network

The Need for Traffic Based Virtualisation Management for Sustainable Clouds

2015 ◽  
Vol 5 (4) ◽  
pp. 8-19
Author(s):  
Kiran Voderhobli
Keyword(s):  
Cloud Computing ◽  
Energy Efficient ◽  
Traffic Management ◽  
Local Level ◽  
Work Load ◽  
Local Network ◽  
Energy Crisis ◽  
Power Efficient ◽  
Site Network ◽  
Data Centres

The subscription based model of cloud computing has allowed for users to migrate their processes to off-site network facilities. One of the motivations for deployment of cloud based services is to promote sustainability by reducing green-house emissions at a local level. Although some might argue that this model saves a lot of power at local network facilities, the problem of energy crisis caused by ICT is never-ending. Today, data-centres are bee-hives of exascale computing and high network dependant processing. Work-load on the cloud directly contributes to energy consumption to an extent that currently IT clouds are some of the worst contributors to CO2 emissions. This paper discusses why traffic-management on the cloud is vital to make it more power efficient and how it can be achieved by gathering live network statistics. The discussion fits with the context of “emerging clouds” as thought needs to be given on how to apply energy efficient schemes at various points including at the communication level.

Insights from Ion Binding Site Network Analysis into Evolution and Functions of Proteins

2018 ◽  
Vol 37 (6-7) ◽  
pp. 1700144 ◽  
Author(s):  
Blaž Škrlj ◽  
Tanja Kunej ◽  
Janez Konc
Keyword(s):  
Network Analysis ◽  
Binding Site ◽  
Ion Binding ◽  
Site Network

scholarly journals MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

2020 ◽  
Vol 39 (9) ◽  
pp. 2713-2724 ◽  
Author(s):  
Quande Liu ◽  
Qi Dou ◽  
Lequan Yu ◽  
Pheng Ann Heng
Keyword(s):  
Prostate Segmentation ◽  
Site Network

scholarly journals Kepler Object of Interest Network

2019 ◽  
Vol 628 ◽  
pp. A108 ◽  
Author(s):  
J. Freudenthal ◽  
C. von Essen ◽  
A. Ofir ◽  
S. Dreizler ◽  
E. Agol ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Time Span ◽  
Monte Carlo Algorithm ◽  
Outer Planet ◽  
Dynamical Interaction ◽  
Curve Model ◽  
Site Network

Context. The Kepler Object of Interest Network (KOINet) is a multi-site network of telescopes around the globe organised for follow-up observations of transiting planet candidate Kepler objects of interest with large transit timing variations (TTVs). The main goal of KOINet is the completion of their TTV curves as the Kepler telescope stopped observing the original Kepler field in 2013. Aims. We ensure a comprehensive characterisation of the investigated systems by analysing Kepler data combined with new ground-based transit data using a photodynamical model. This method is applied to the Kepler-82 system leading to its first dynamic analysis. Methods. In order to provide a coherent description of all observations simultaneously, we combine the numerical integration of the gravitational dynamics of a system over the time span of observations with a transit light curve model. To explore the model parameter space, this photodynamical model is coupled with a Markov chain Monte Carlo algorithm. Results. The Kepler-82b/c system shows sinusoidal TTVs due to their near 2:1 resonance dynamical interaction. An additional chopping effect in the TTVs of Kepler-82c hints to a further planet near the 3:2 or 3:1 resonance. We photodynamically analysed Kepler long- and short-cadence data and three new transit observations obtained by KOINet between 2014 and 2018. Our result reveals a non-transiting outer planet with a mass of mf = 20.9 ± 1.0 M⊕ near the 3:2 resonance to the outermost known planet, Kepler-82c. Furthermore, we determined the densities of planets b and c to the significantly more precise values ρb = 0.98−0.14+0.10 g cm−3 and ρc = 0.494−0.077+0.066 g cm−3.

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