Search results for "Benchmark"
showing 10 items of 310 documents
How Hadoop and Spark benchmarking algorithms can improve remote health monitoring and data management platforms?
2019
This chapter introduces the characteristics of e-care platform and the concept of ontology which helps the reader understand the system that will implement big data tools for its migration while also focusing on focuses on the most popular systems in the Hadoop ecosystem, emphasizing MapReduce and Spark.
Modelling of Water Supply Costs
2017
Water supply tariffs setting is a labour intensive regulatory procedure; currently number of informative and procedural shortages and problems exist. The aim of the current research is improvement of methodology for determination of the substantiated costs for provision of water services. A working hypothesis was advanced to modernize the methodology: the specific costs (/m3) required for the provision of water services in a specific region is a variable multi-parameter function of key performance indicators. There is preferred a benchmark modelling procedure, which is based on the factual cases (declared indicators of water utilities) and synthesis of the general regularity. The model is d…
Efficient mesoscale hydrodynamics: Multiparticle collision dynamics with massively parallel GPU acceleration
2018
Abstract We present an efficient open-source implementation of the multiparticle collision dynamics (MPCD) algorithm that scales to run on hundreds of graphics processing units (GPUs). We especially focus on optimizations for modern GPU architectures and communication patterns between multiple GPUs. We show that a mixed-precision computing model can improve performance compared to a fully double-precision model while still providing good numerical accuracy. We report weak and strong scaling benchmarks of a reference MPCD solvent and a benchmark of a polymer solution with research-relevant interactions and system size. Our MPCD software enables simulations of mesoscale hydrodynamics at lengt…
A novel method for network intrusion detection based on nonlinear SNE and SVM
2017
In the case of network intrusion detection data, pre-processing techniques have been extensively used to enhance the accuracy of the model. An ideal intrusion detection system (IDS) is one that has appreciable detection capability overall the group of attacks. An open research problem of this area is the lower detection rate for less frequent attacks, which result from the curse of dimensionality and imbalanced class distribution of the benchmark datasets. This work attempts to minimise the effects of imbalanced class distribution by applying random under-sampling of the majority classes and SMOTE-based oversampling of minority classes. In order to alleviate the issue arising from the curse…
Aquatic Surface Robots: the State of the Art, Challenges and Possibilities
2020
In this paper, a survey of the state of the art, challenges, and possibilities for aquatic surface robots is presented. To this end, a survey and classification of aquatic surface robots is first outlined. Then, different levels of autonomy are identified for this typology of robots and categorised into environmental complexity, mission complexity, and external system independence. From this perspective, a step-wise approach is adopted on how to increment aquatic surface robots abilities within guidance, navigation, and control in order to target the different levels of autonomy. Possibilities and challenges for designing aquatic surface robots as carriers for conducting research activities…
Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics
2015
In the framework of information dynamics, the temporal evolution of coupled systems can be studied by decomposing the predictive information about an assigned target system into amounts quantifying the information stored inside the system and the information transferred to it. While information storage and transfer are computed through the known self-entropy (SE) and transfer entropy (TE), an alternative decomposition evidences the so-called cross entropy (CE) and conditional SE (cSE), quantifying the cross information and internal information of the target system, respectively. This study presents a thorough evaluation of SE, TE, CE and cSE as quantities related to the causal statistical s…
Initial approaches in benchmarking and round robin testing for proton exchange membrane water electrolyzers
2019
Abstract As ever-increasing amounts of renewable electricity enter the energy supply mix on a regional, national and international basis, greater emphasis is being placed on energy conversion and storage technologies to deal with the oscillations, excess and lack of electricity. Hydrogen generation via proton exchange membrane water electrolysis (PEMWE) is one technology that offers a pathway to store large amounts of electricity in the form of hydrogen. The challenges to widespread adoption of PEM water electrolyzers lie in their high capital and operating costs which both need to be reduced through R&D. An evaluation of reported PEMWE performance data in the literature reveals that there …
Smart Cities Atlas
2014
Nuovi e affascinanti esempi sull’innovazione nelle città che provengono dal mondo reale. Ogni parte del mondo industrializzato ha un caso di smart city da mostrare: città e reti di città saranno il punto di contatto delle più importanti iniziative economiche e finanziarie nel prossimo futuro. Il catalogo ampio di città analizzato da una sintetica rappresentazione delle misure applicate da alcune di esse negli ultimi dieci anni nel mondo. Essere una smart city è una sfida difficile da raggiungere, sia per città progettate ex novo come Masdar o Caofedian sia per quelle che hanno una lunga storia dietro, come le città europee. New and fascinating examples about innovation in cities come from t…
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistic…
2008
Abstract Background Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analysis and Classification, in particular with regard to the prediction of the number of clusters in a dataset, usually established via internal validation measures. Despite the wealth of internal measures available in the literature, new ones have been recently proposed, some of them specifically for microarray data. Results We consider five such measures: Clest, Consensus (Consensus Clustering), FOM (Figure of Merit), Gap (Gap Statistics) and ME (Model Explorer), in addition to the classic WCSS (Within Cluster…
Improving Docking Performance Using Negative Image-Based Rescoring
2018
Despite the large computational costs of molecular docking, the default scoring functions are often unable to recognize the active hits from the inactive molecules in large-scale virtual screening experiments. Thus, even though a correct binding pose might be sampled during the docking, the active compound or its biologically relevant pose is not necessarily given high enough score to arouse the attention. Various rescoring and post-processing approaches have emerged for improving the docking performance. Here, it is shown that the very early enrichment (number of actives scored higher than 1% of the highest ranked decoys) can be improved on average 2.5-fold or even 8.7-fold by comparing th…