Results 61 to 70 of about 343,427 (288)

Data Streaming for Appliances

open access: yesProceedings of the 9th International Conference on Cloud Computing and Services Science, 2019
Nowadays many applications require to analyse the continuous flow of data produced by different data sources before the data is stored. Data streaming engines emerged as a solution for processing data on the fly. At the same time, computer architectures have evolved to systems with several interconnected CPUs and Non Uniform Memory Access (NUMA), where
Patiño Martínez, Marta   +1 more
openaire   +2 more sources

Resistance Rapid Heating of Aluminum Coatings in an Extreme High Vacuum–Adequate Atmosphere for Hot Stamping

open access: yesAdvanced Engineering Materials, EarlyView.
The subject of this work is the development of a corrosion‐protective coating on steel sheets for form hardening. Rapid heating in an extreme high vacuum (XHV)‐adequate atmosphere is a useful method to prevent oxidation during alloying of 22MnB5 and aluminum to obtain a metallurgical bonding.
Lorenz Albracht   +5 more
wiley   +1 more source

Information-Theoretic Data Discarding for Dynamic Trees on Data Streams

open access: yesEntropy, 2013
Ubiquitous automated data collection at an unprecedented scale is making available streaming, real-time information flows in a wide variety of settings, transforming both science and industry.
Christoforos Anagnostopoulos   +1 more
doaj   +1 more source

Impact of Pre‐Oxidation Treatments on a Recycled MgO/Steel‐Composite as Carbon Free Anode in Aluminum‐Electrolysis Environments

open access: yesAdvanced Engineering Materials, EarlyView.
Cermets (60 vol.% AISI 316L stainless steel, 40 vol.% recycled MgO), intended for use in aluminum electrolysis, were pre‐oxidized in three furnaces with different heating technologies and subjected to a cryolite corrosion test. The different atmospheres influenced the formation of oxide layers, which in turn affected corrosion resistance and ...
Patricia Kaiser   +4 more
wiley   +1 more source

Detecting Irregular Patterns in IoT Streaming Data for Fall Detection

open access: yes, 2018
Detecting patterns in real time streaming data has been an interesting and challenging data analytics problem. With the proliferation of a variety of sensor devices, real-time analytics of data from the Internet of Things (IoT) to learn regular and ...
Isah, Haruna   +3 more
core   +1 more source

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

open access: yesAdvanced Functional Materials, EarlyView.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund   +6 more
wiley   +1 more source

Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information

open access: yesAlgorithms, 2020
We develop online graph learning algorithms from streaming network data. Our goal is to track the (possibly) time-varying network topology, and affect memory and computational savings by processing the data on-the-fly as they are acquired.
Rasoul Shafipour, Gonzalo Mateos
doaj   +1 more source

Ideal Molecular Sieving with a Dense MOF for Helium Upgrading with Highly Diffusion Selective Mixed Matrix Membranes

open access: yesAdvanced Functional Materials, EarlyView.
The separation of Helium gas from natural gas is challenging but highly important. MIL‐116(Ga), a “non‐porous” metal–organic framework is used as a molecular sieve to separate He from CH4. Druse‐like MIL‐116(Ga) particles are integrated into polysulfone mixed matrix membranes.
Ayisha Komal   +10 more
wiley   +1 more source

Three Techniques for Enhancing Chaos-Based Joint Compression and Encryption Schemes

open access: yesEntropy, 2019
In this work, three techniques for enhancing various chaos-based joint compression and encryption (JCAE) schemes are proposed. They respectively improved the execution time, compression ratio, and estimation accuracy of three different chaos-based JCAE ...
Chao-Jen Tsai   +2 more
doaj   +1 more source

Clustering categorical data streams

open access: yesJournal of Computational Methods in Sciences and Engineering, 2011
In this paper, we propose an efficient clustering algorithm for analyzing categorical data streams. It has been proved that the proposed algorithm uses small memory footprints. We provide empirical analysis on the performance of the algorithm in clustering both synthetic and real data streams.
He, Zengyou   +3 more
openaire   +2 more sources

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