scholarly journals A Comparison of ATM Stream Merging Techniques

Author(s):  
M. Baldi ◽  
D. Bergamasco ◽  
S. Gai ◽  
D. Malagrinò
2020 ◽  
Vol 12 (7) ◽  
pp. 2678
Author(s):  
Sabla Y. Alnouri ◽  
Dhabia M. Al-Mohannadi

Carbon integration aims to identify appropriate CO2 capture, allocation, and utilization options, given a number of emission sources and sinks. Numerous CO2-using processes capture and convert emitted CO2 streams into more useful forms. The transportation of captured CO2, which poses a major design challenge, especially across short distances. This paper investigates new CO2 transportation design aspects by introducing pipeline merging techniques into carbon integration network design. For this, several tradeoffs, mainly between compression and pipeline costs, for merged pipeline infrastructure scenarios have been studied. A modified model is introduced and applied in this work. It is found that savings on pipeline costs are greatly affected by compression/pumping levels. A case study using two different pipe merging techniques was applied and tested. Backward branching was reported to yield more cost savings in the resulting carbon network infrastructure. Moreover, both the source and sink pressures were found to greatly impact the overall cost of the carbon integration network attained via merged infrastructure. It was found that compression costs consistently decreased with increasing source pressure, unlike the pumping and pipeline costs.


2015 ◽  
Vol 17 (3) ◽  
pp. 422-445 ◽  
Author(s):  
Nergui Nanding ◽  
Miguel Angel Rico-Ramirez ◽  
Dawei Han

The improvement of precipitation estimation with the use of radar-raingauge rainfall merging techniques is influenced by several factors, such as topography, storm types, raingauge network density for adjustment, data quality and the rainfall accumulation time. However, the influence of the raingauge network configuration on the performance of radar-raingauge merging methods is often ignored. The aim of this study is to compare and evaluate the performance of different radar-raingauge merging methods on various densities of raingauge network and raingauge network configurations. The analysis of the effect of the raingauge network density shows that the performance of Kriging merging methods increases with the increase of raingauge network density. The results also showed that the influence of raingauge network configuration on the spatial distribution of precipitation of the merged products is relatively smaller for the Kriging with radar-based error correction (KRE) and Kriging with external drift (KED) methods than for the ordinary Kriging method. This indicates that the inclusion of radar data in the KRE and KED methods helps to maintain the spatial distribution of precipitation on an hourly timescale. According to the statistical performance indicators and visual inspection of the merged rainfall fields, the KED outperforms the other radar-raingauge merging techniques, regardless of raingauge network density and configuration.


2004 ◽  
Vol 33 (5) ◽  
pp. 1011-1034 ◽  
Author(s):  
Amotz Bar-Noy ◽  
Richard E. Ladner

2020 ◽  
Vol 10 (10) ◽  
pp. 2473-2480
Author(s):  
Waqar Mehmood ◽  
Muhammad Shafiq ◽  
Muhammad Qaiser Saleem ◽  
Ali Saeed Alowayr ◽  
Waqar Aslam

Model-driven engineering (MDE) paradigm considers models as central artifacts for software development lifecycle during which models evolve. Developing an e-health solution using MDE poses challenges of model version control, model differencing and model merging, which requires appropriate software configuration management (SCM). In this paper we focus on model-driven merging, which refers to combining two or more versions of a model into a single consolidated version. SCM for model-driven merging leverages evolution of valid configurations, which is a highly desired behavior. Our investigation is based on the features that are required for model-driven SCM realization. Initially, we identify these features using which the existing model-driven merging techniques are evaluated. It is observed that though various proposals are made by academia and research community, a standard model-driven SCM solution that can cater to the needs of industry is still absent. This is in contrary to the situation of traditional SCM systems where standard solutions exist. We also present the usefulness of each technique along with the tradeoffs involved. Finally, guidelines are provided to select techniques appropriate for given circumstances.


Author(s):  
Badrish Chandramouli ◽  
David Maier ◽  
Jonathan Goldstein
Keyword(s):  

2015 ◽  
Vol 23 (3) ◽  
pp. 576-592 ◽  
Author(s):  
Daan Van Britsom ◽  
Antoon Bronselaer ◽  
Guy De Tre

2004 ◽  
Vol 9 (5) ◽  
pp. 411-423 ◽  
Author(s):  
Amotz Bar-Noy ◽  
Justin Goshi ◽  
Richard E. Ladner ◽  
Kenneth Tam

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