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Cool features and tough decisions

Krzysztof Czarnecki, Paul Grünbacher, Rick Rabiser, Klaus Schmid, Andrzej Wąsowski
2012 Proceedings of the Sixth International Workshop on Variability Modeling of Software-Intensive Systems - VaMoS '12  
Numerous variability modeling approaches exist today to support domain and application engineering activities.  ...  Variability modeling is essential for defining and managing the commonalities and variabilities in software product lines.  ...  Mapping to artifacts is a core objective of CVL, which aims at external (orthogonal) definition of variability for any models described in MOF-based languages.  ... 
doi:10.1145/2110147.2110167 dblp:conf/vamos/CzarneckiGRSW12 fatcat:e3nsocs6hjg6tec7xyjy26d6za

A comprehensive comparative analysis of machine learning models for predicting heating and cooling loads

Eslam Mohammed Abdelkader, Abobakr Al-Sakkaf, Reem Ahmed
2020 Decision Science Letters  
This includes back-propagation artificial neural network, generalized regression neural network, radial basis neural network, radial kernel support vector machines and ANOVA kernel support vector machines  ...  As such, more energy efficient buildings are required to minimize the energy consumption of heating and cooling.  ...  support vector machines 17.0715% 5.7400 3.8630 ANOVA kernel support vector machines 7.3628% 2.5786 1.3891 Table 5 5 Comparative analysis of the machine learning models for predicting cooling  ... 
doi:10.5267/j.dsl.2020.3.004 fatcat:jjhy3pi6irf6dgj5xfsw2a3ic4


2006 A-to-Z Guide to Thermodynamics, Heat and Mass Transfer, and Fluids Engineering  
Bernard BIGOT High Commissioner for Atomic Energy These objectives address the challenges of sustainable energy production, i.e., using fuel far more efficiently and significantly reducing the volume and  ...  Regarding fuel consumption, the objective is to use 50 to 70% natural uranium (current water-cooled reactors use only 1%) and thus ensure a sustainable use of nuclear energy compatible with the uranium  ...  850°C is a minimum objective for HTRs.  ... 
doi:10.1615/atoz.g.gascoonucrea fatcat:2iaw6t2ol5guzfdyusha36v3xq

Cool Stars 20 Abstract Booklet [article]

Cool Stars 20 Organizing Committee
2018 Zenodo  
booklet for the 20th Cambridge Workshops of Cool Stars, Stellar Systems and the Sun, held July 29 - Aug 3 2018 at Boston University, Boston, MA, USA.  ...  Schöfer Institute for Astrophysics Göttingen We present our measurements of activity indicators of M dwarfs in the CARMENES sample.  ...  Institute, USA; Universidad de La Laguna, Spain; Johns Hopkins University, USA; Instituto de Astrofisica de Canarias, Spain; Young binary stars provide us with coeval pairs of stars born in the same environment  ... 
doi:10.5281/zenodo.1343631 fatcat:d3sjg4frhrgg5d6m5qsdwb3c3i

Prediction of Cooling Energy Consumption in Hotel Building Using Machine Learning Techniques

Marek Borowski, Klaudia Zwolińska
2020 Energies  
The paper presents two methods that are often used for energy prediction: neural networks and support vector machines.  ...  The article presents models of cooling energy prediction in summer for a hotel building in southern Poland.  ...  resources and emissions of pollutants into the environment.  ... 
doi:10.3390/en13236226 fatcat:gxi3jifm65edjommr3txh6whxy

Ultra-strong Mg ii absorbers as a signature of cool intragroup gas

Jean-René Gauthier
2013 Monthly notices of the Royal Astronomical Society  
Including the two ultra-strong MgII absorbers analyzed by Nestor et al. (2011), this is the third ultra-strong MgII absorber for which a detailed study of the galactic environment is available.  ...  We find that the two group members at \rho < 60 kpc are best characterized by old stellar populations (>1 Gyr) and little on-going star formation activity (SFR<2.9 \msun/yr), while the third object at  ...  Steidel for helpful comments and discussions. We also thank the referee for helpful comments that improve the draft significantly.  ... 
doi:10.1093/mnras/stt565 fatcat:qkxmuutqajbkpioo6mlualuk2m


Timothy D. Morton, Jonathan Swift
2014 Astrophysical Journal  
In particular, we present and validate a new procedure, based on weighted kernel density estimation, to reconstruct the shape of the planet radius function down to radii smaller than the completeness limit  ...  distribution of planets does not change dramatically with planet radius, we show that the occurrence of planets around these stars continues to increase to below 1 R_⊕, and that there is no strong evidence for  ...  TDM thanks Ed Turner and David Hogg for supportive conversations regarding this analysis, and Frank Porter for very helpful tips regarding density estimation, and for his willingness to share the draft  ... 
doi:10.1088/0004-637x/791/1/10 fatcat:2v2p75lub5g3dakq7nyqpl7cxe

Towards Efficient Building Designing: Heating and Cooling Load Prediction via Multi-Output Model

Muhammad Sajjad, Samee Ullah Khan, Noman Khan, Ijaz Ul Haq, Amin Ullah, Mi Young Lee, Sung Wook Baik
2020 Sensors  
These factors directly influence the cooling load (CL) and heating load (HL) of residential buildings.  ...  Most of the traditional machine learning (ML)-based approaches are designed for single-output (SO) prediction, which is a tedious task due to separate training processes for each output with low performance  ...  Support Vector Regression (SVR) Support vector machine (SVM) is a supervised ML approach mainly used for classification and regression problems.  ... 
doi:10.3390/s20226419 pmid:33182735 fatcat:abusf3cxmbemrj33sbn3t3hznm

Feedback Regulated Star Formation In Cool Core Clusters Of Galaxies

Grant Russell Tremblay, Christopher O'Dea, Stefi Baum
2011 Zenodo  
role in heating the ambient environment on tens to hundreds of kiloparsec scales.  ...  The classical "cooling flow" model historically associated with "cool core" clusters of galaxies fails in the absence of an external, non-gravitational heating mechanism needed to offset catastrophic radiative  ...  While consensus has not yet been met, the clear fact that FR I reside in higher density environments is strongly supportive of the notion that it is the environment which gives rise to the Fanaroff-Riley  ... 
doi:10.5281/zenodo.48475 fatcat:k7edxq5zf5da7k4lebi27ovsha

The Irrigation Cooling Effect as a Climate Regulation Service of Agroecosystems

José Antonio Albaladejo-García, Francisco Alcon, José Miguel Martínez-Paz
2020 Water  
In this context, the objective of this study is to quantify the ICE in agroecosystems at the local scale.  ...  The irrigation cooling effect (ICE), given its influence on the land surface temperature (LST), is an indicator of climate regulation services from agroecosystems.  ...  In the case of the orientations, the most frequent orientation value of the plot was selected.  ... 
doi:10.3390/w12061553 fatcat:jk7y7gx3dzen3htsimvlfthlae

The Effects of Gasdynamics, Cooling, Star Formation, and Numerical Resolution in Simulations of Cluster Formation

Geraint F. Lewis, Arif Babul, Neal Katz, Thomas Quinn, Lars Hernquist, David H. Weinberg
2000 Astrophysical Journal  
We identify significant differences between the simulations, which highlights the need for caution when comparing numerical simulations to observations of galaxy clusters.  ...  Therefore, physical inferences drawn from simulations that do not include a gaseous component that can cool and form stars present a poor representation of reality. (Abridged)  ...  We use a spline kernel for the gravitational force softening; this has an advantage over other forms for the softening (e.g.  ... 
doi:10.1086/308954 fatcat:wukwhkp47rhkzcvrd3p2qgv2jm

PastVision+: Thermovisual Inference of Recent Medicine Intake by Detecting Heated Objects and Cooled Lips

Martin Cooney, Josef Bigun
2017 Frontiers in Robotics and AI  
Results were promising, with a detection accuracy of touched objects of 50% at the 15 s mark and 0% at the 60 s mark, and a detection accuracy of cooled lips of about 100 and 60% at the 15 s mark for cold  ...  Furthermore, we conducted a follow-up check for another challenging scenario in which some participants pretended to take medicine or otherwise touched a medicine package: accuracies of inferring object  ...  cells, normalizing over larger blocks, and feeding the descriptors to a Support Vector Machine classifier with decision function f(x), learned parameters αi and b, and a linear kernel K as in equation  ... 
doi:10.3389/frobt.2017.00061 fatcat:rvzlfpmuxffctl7afm3hh5zgnq

Scaling analysis for the direct reactor auxiliary cooling system for FHRs

Q. Lv, X. Wang, I.H. Kim, X. Sun, R.N. Christensen, T.E. Blue, G. Yoder, D. Wilson, P. Sabharwall
2015 Nuclear Engineering and Design  
The Direct Reactor Auxiliary Cooling System (DRACS) is a passive residual heat removal system proposed for the Fluoride-salt-cooled High-temperature Reactor (FHR) that combines the coated particle fuel  ...  In this paper, a detailed scaling analysis for the DRACS is performed, which will provide guidance for the design of scaled-down DRACS test facilities.  ...  ACKNOWLEDGMENTS The authors would like to acknowledge the financial support from the U.S. Department of Energy Nuclear Energy University Program (NEUP). Dr.  ... 
doi:10.1016/j.nucengdes.2014.12.035 fatcat:6fr4zkdz7rhtbj6yxl6erlyhyq

Advanced Structural Materials for Gas-Cooled Fast Reactors—A Review

Jakub Čížek, Jana Kalivodová, Miloš Janeček, Josef Stráský, Ondřej Srba, Anna Macková
2021 Metals  
These conditions include higher temperatures, a higher displacement per atom, and more corrosive environments.  ...  This review summarizes the development of the Gas-Cooled Fast Reactor (GFR) concept from the early 1970s until now, focusing specifically on structural materials and advanced fuel cladding materials.  ...  It was always sandwiched between two specimens of the alloy studied with the irradiated face oriented toward the positron source.  ... 
doi:10.3390/met11010076 fatcat:qkq3ddot2zhllgmoavi2gw35um

Implementing a modular object-oriented operating system on top of Chorus

R Lea, P Amaral, C Jacquemot
1993 Distributed Systems Engineering  
The Chorus Object Oriented Layer (COOL) is a layer built above the Chorus micro-kernel designed to extend the micro-kernel abstractions with support for object oriented systems.  ...  COOL v2, the second iteration of this layer provides generic support for clusters of objects, in a distributed virtual memory model.  ...  The COOL project is building an object oriented kernel above the CHORUS micro-kernel.  ... 
doi:10.1088/0967-1846/1/1/002 fatcat:plpjjoyvvfhg7cs4vswkdytlgu
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