| publications-2601 |
Peer reviewed articles |
2014 |
Florin Pop |
High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science |
Advances in High Energy Physics |
10.1155/2014/507690 |
Uncategorized |
Uncategorized |
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Modern physics is based on both theoretical analysis and experimental validation. Complex scenarios like subatomic dimensions, high energy, and lower absolute temperature are frontiers for many theoretical models. Simulation with stable numerical methods represents an excellent instrument for high accuracy analysis, experimental validation, and visualization. High performance computing support offers possibility to make simulations at large scale, in parallel, but the volume of data generated by these experiments creates a new challenge for Big Data Science. This paper presents existing computational methods for high energy physics (HEP) analyzed from two perspectives: numerical methods and high performance computing. The computational methods presented are Monte Carlo methods and simulations of HEP processes, Markovian Monte Carlo, unfolding methods in particle physics, kernel estimation in HEP, and Random Matrix Theory used in analysis of particles spectrum. All of these methods produce data-intensive applications, which introduce new challenges and requirements for ICT systems architecture, programming paradigms, and storage capabilities. |
690900 |
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| publications-2602 |
Peer reviewed articles |
2020 |
Lotte van den Heuvel, Malgorzata Blicharska, Sara Masia, Janez Sušnik, Claudia Teutschbein |
Ecosystem services in the Swedish water-energy-food-land-climate nexus: Anthropogenic pressures and physical interactions |
Ecosystem Services |
10.1016/j.ecoser.2020.101141 |
Uncategorized |
River Basins |
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No abstract available |
689150 |
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| publications-2603 |
Peer reviewed articles |
2015 |
Florin Pop, Ciprian Dobre, Valentin Cristea, Nik Bessis, Fatos Xhafa, Leonard Barolli |
Deadline scheduling for aperiodic tasks in inter-Cloud environments: a new approach to resource management |
The Journal of Supercomputing |
10.1007/s11227-014-1285-8 |
Simulation & Modeling |
River Basins |
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No abstract available |
690900 |
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| publications-2604 |
Peer reviewed articles |
2019 |
Jan Philipp Dietrich, Benjamin Leon Bodirsky, Florian Humpenöder, Isabelle Weindl, Miodrag Stevanović, Kristine Karstens, Ulrich Kreidenweis, Xiaoxi Wang, Abhijeet Mishra, David Klein, Geanderson Ambrósio, Ewerton Araujo, Amsalu Woldie Yalew, Lavinia Baumstark, Stephen Wirth, Anastasis Giannousakis, Felicitas Beier, David Meng-Chuen Chen, Hermann Lotze-Campen, Alexander Popp |
MAgPIE 4 – a modular open-source framework for modeling global land systems |
Geoscientific Model Development |
10.5194/gmd-12-1299-2019 |
Simulation & Modeling |
Natural Water Bodies |
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Abstract. The open-source modeling framework MAgPIE (Model of Agricultural Production and its Impact on the Environment) combines economic and biophysical approaches to simulate spatially explicit global scenarios of land use within the 21st century and the respective interactions with the environment. Besides various other projects, it was used to simulate marker scenarios of the Shared Socioeconomic Pathways (SSPs) and contributed substantially to multiple IPCC assessments. However, with growing scope and detail, the non-linear model has become increasingly complex, computationally intensive and non-transparent, requiring structured approaches to improve the development and evaluation of the model.Here, we provide an overview on version 4 of MAgPIE and how it addresses these issues of increasing complexity using new technical features: modular structure with exchangeable module implementations, flexible spatial resolution, in-code documentation, automatized code checking, model/output evaluation and open accessibility. Application examples provide insights into model evaluation, modular flexibility and region-specific analysis approaches. While this paper is focused on the general framework as such, the publication is accompanied by a detailed model documentation describing contents and equations, and by model evaluation documents giving insights into model performance for a broad range of variables.With the open-source release of the MAgPIE 4 framework, we hope to contribute to more transparent, reproducible and collaborative research in the field. Due to its modularity and spatial flexibility, it should provide a basis for a broad range of land-related research with economic or biophysical, global or regional focus. |
689150 |
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| publications-2605 |
Peer reviewed articles |
2013 |
Ciprian Dobre, Florin Pop, Valentin Cristea |
The EU-Services Directive |
International Journal of Distributed Systems and Technologies |
10.4018/jdst.2013070101 |
Data Management & Analytics |
Precipitation & Ecological Systems |
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The Point of Single Contact, proposed by the EU Services Directive, is a reliable source of electronic processing of information that facilitates the interaction of citizens with the public administration. This paper presents an eFramework designed to improve the communication between the citizens or businesses and the public administration. Using this framework the governments can offer eServices to its citizens, as well as the possibility to interact with various public govern-level services, without the need to directly interact with the involved institutions. An example of such an electronic service would be the possibility to open a business using a single browser. The authors present the architecture as well as technical details for the implementation of such a framework. They also present a pilot application designed to orchestrate the workflow for opening a business. Such a solution is based on state-of-the-art technologies such as InfoPath, SharePoint, BizTalk, and Web Services. |
690900 |
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| publications-2606 |
Peer reviewed articles |
2015 |
Anca Daniela Ionita, Mariana Mocanu |
Multiple Modeling Paradigms Applied for Accidental Pollution Management |
Environmental Engineering & Management Journal (EEMJ) |
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Simulation & Modeling |
River Basins |
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No abstract available |
690900 |
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| publications-2607 |
Peer reviewed articles |
2015 |
Florin Pop, Radu-Ioan Ciobanu, Ciprian Dobre |
Adaptive method to support social-based mobile networks using a pagerank approach |
Concurrency and Computation: Practice and Experience |
10.1002/cpe.3103 |
Simulation & Modeling |
Natural Water Bodies |
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SummaryOpportunistic networks are mobile networks that rely on the store‐carry‐and‐forward paradigm, using contacts between nodes to opportunistically transfer data. For this reason, traditional routing mechanisms are no longer suitable. The use of additional routing criterion, such as social information about nodes, can increase the probability of successful message delivery. Popularity of a node, another important routing criterion, can be inferred using the betweenness centrality, meaning the number of times the node is on the shortest path between any other two nodes in the social graph. However, computing the betweenness centrality is impossible in practice, especially when connectivity between individuals is transient, and each node has only a local view of the entire network. We propose a fundamental rethinking, where nodes and not paths are the observation focus. In our approach, we compute the probability of a node to participate in a path formation (e.g., the probability of a node to lead to the next popular path). We present our solution, which takes inspiration from the PageRank approach, and present an algorithm to compute and update the popularity of nodes using the probability of each node to be used as carrier for random messages traversing the network. We demonstrate that this approach is highly robust, numerical insensitive to errors, and converges fast, meaning it can be easily adopted in resource‐constraint environments formed between highly mobile wireless devices. Our experimental results sustain our empirical observations for various case studies. Copyright © 2013 John Wiley & Sons, Ltd. |
690900 |
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| publications-2608 |
Peer reviewed articles |
2020 |
Jan Willem Foppen, George Lutterodt, Gabriel C. Rau, Obed Minkah |
Groundwater flow system analysis in the regolith of Dodowa on the Accra Plains, Ghana |
Journal of Hydrology: Regional Studies |
10.1016/j.ejrh.2020.100663 |
Uncategorized |
River Basins |
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No abstract available |
835852 |
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| publications-2609 |
Peer reviewed articles |
2019 |
Chris Turnadge, Russell S. Crosbie, Olga Barron, Gabriel C. Rau |
Comparing Methods of Barometric Efficiency Characterization for Specific Storage Estimation |
Groundwater |
10.1111/gwat.12923 |
Uncategorized |
Natural Water Bodies |
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AbstractGroundwater responses to barometric pressure fluctuations are characterized using the concept of barometric efficiency (BE). For semiconfined and confined aquifers, BE values can be used to provide efficient, low‐cost estimates of specific storage. This study compares, for the first time, eight existing methods of BE estimation. Comparisons were undertaken using data from the Peel region of Western Australia. Fourier analysis and regression deconvolution methods were used to estimate aquifer confinement status. The former approach was found to be robust and provided a quantitative basis for spatial comparisons of the degree of confinement. The latter approach was confounded by the presence of diurnal and/or semidiurnal signals. For wells at which semiconfined or confined responses were identified, frequency and time domain methods were used to estimate BE values. Most BE estimation methods were similarly confounded by diurnal and/or semidiurnal signals, with the exception of the Acworth et al. (2016) method. Specific storage values calculated from BE values were order‐of‐magnitude consistent with the results of four historical pumping tests. The methods implemented in this research provide efficient, low‐cost alternatives to hydraulic testing for estimating aquifer confinement, as well as the BE and specific storage of semiconfined and confined aquifers. The frequency and duration of observations required by these methods are minimal; for example, typically requiring a minimum of four observations per day over a four month period. In some locations they may allow additional insights to be derived from existing groundwater hydrograph data. |
835852 |
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| publications-2610 |
Peer reviewed articles |
2019 |
Gabriel C. Rau, Vincent E. A. Post, Margaret Shanafield, Torsten Krekeler, Eddie W. Banks, Philipp Blum |
Error in hydraulic head and gradient time-series measurements: a quantitative appraisal |
Hydrology and Earth System Sciences |
10.5194/hess-23-3603-2019 |
Uncategorized |
Natural Water Bodies |
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Abstract. Hydraulic head and gradient measurements underpin practically all investigations in hydrogeology. There is sufficient information in the literature to suggest that head measurement errors can impede the reliable detection of flow directions and significantly increase the uncertainty of groundwater flow rate calculations. Yet educational textbooks contain limited content regarding measurement techniques, and studies rarely report on measurement errors. The objective of our study is to review currently accepted standard operating procedures in hydrological research and to determine the smallest head gradients that can be resolved. To this aim, we first systematically investigate the systematic and random measurement errors involved in collecting time-series information on hydraulic head at a given location: (1) geospatial position, (2) point of head, (3) depth to water, and (4) water level time series. Then, by propagating the random errors, we find that with current standard practice, horizontal head gradients <10-4 are resolvable at distances ⪆170 m. Further, it takes extraordinary effort to measure hydraulic head gradients <10-3 over distances <10 m. In reality, accuracy will be worse than our theoretical estimates because of the many possible systematic errors. Regional flow on a scale of kilometres or more can be inferred with current best-practice methods, but processes such as vertical flow within an aquifer cannot be determined until more accurate and precise measurement methods are developed. Finally, we offer a concise set of recommendations for water level, hydraulic head and gradient time-series measurements. We anticipate that our work contributes to progressing the quality of head time-series data in the hydrogeological sciences and provides a starting point for the development of universal measurement protocols for water level data collection. |
835852 |
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