Results 51 to 60 of about 868,270 (308)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection

IEEE Access
Stochastic gradient descent (SGD) and exponentiated gradient (EG) update methods are widely used in signal processing and machine learning. This study introduces a novel family of generalized Exponentiated Gradient updates (EGAB) derived from the alpha ...
Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka   +3 more
doaj   +1 more source

FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing

Advanced Engineering Materials, EarlyView.
The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling, Bernd Bayerlein, Philipp von Hartrott, Jörg Waitelonis, Henk Birkholz, Pedro Dolabella Portella, Birgit Skrotzki   +6 more
wiley   +1 more source

Digital Methods for the Fatigue Assessment of Engineering Steels

Advanced Engineering Materials, EarlyView.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener, Johannes Rosenberger, Michael Luke, José Manuel Domínguez, Joana Francisco Morgado, Hans‐Ulrich Kobialka, Torsten Kraft, Johannes Tlatlik   +7 more
wiley   +1 more source

A Review on Blockchain Technology for Distribution of Energy

International Journal of Engineering Materials and Manufacture, 2022
The alternative energy generation sources have increased drastically from centralized systems to distributed systems which increases the stability of energy distribution management systems and reduces the distribution cost as well. On the other hand, it
Md Rafiqul Islam, Muhammad Mahbubur Rahman, Mohammed Ataur Rahman, Muslin Har Sani Mohamad, Abd Halim Embang   +4 more
doaj   +1 more source

Greenplum: A Hybrid Database for Transactional and Analytical Workloads [PDF]

arXiv, 2021
Demand for enterprise data warehouse solutions to support real-time Online Transaction Processing (OLTP) queries as well as long-running Online Analytical Processing (OLAP) workloads is growing. Greenplum database is traditionally known as an OLAP data warehouse system with limited ability to process OLTP workloads.
arxiv  

Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

Advanced Engineering Materials, EarlyView.
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Philipp v. Hartrott, Marian Bruns, Jörg Schaarschmidt, Kristian Beilke, Marcel Mutz, Vincent Nebel, Veit Königer, Lisa Beran, Tobias Kraus, Akhilesh Vyas, Lars Vogt, Moritz Blum, Basil Ell, Ya‐Fan Chen, Tina Waurischk, Akhil Thomas, Ali Riza Durmaz, Sahar Ben Hassine, Carina Fresemann, Gordian Dziwis, Hossein Beygi Nasrabadi, Thomas Hanke, Melissa Telong, Stephan Pirskawetz, Mohamed Kamal, Thomas Bjarsch, Ursula Pähler, Peter Hofmann, Mena Leemhuis, Özgür L. Özçep, Lars‐Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Chris Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch   +44 more
wiley   +1 more source

Disaster Recovery Framework for Commercial Banks in Sri Lanka

Journal of ICT Research and Applications, 2015
The banking sector is the backbone of the entire financial economy of a country. In today's globalized world, most organizations use online transaction processing systems for transferring money and doing business.
Mueen Uddin, Sandun Hapugoda, Roop Chand Hindu   +2 more
doaj   +1 more source

Mechanisms of Increasing Weld Depth during Temporal Power Modulation in High‐Power Laser Beam Welding

Advanced Engineering Materials, EarlyView.
Temporal power modulation increases weld depth in high‐power laser beam welding of dissimilar round bars by nearly 20% compared to same average continuously welded welding power. The mechanism of action also applies to sheet welding and depends on the inertia of keyhole depth for the modulated laser beam power.
Jan Grajczak, David Reynders, Christian Nowroth, Jens Twiefel, Jörg Wallaschek, Sarah Nothdurft, Jörg Hermsdorf, Stefan Kaierle   +7 more
wiley   +1 more source

A Framework to Create a Certificate for e-Commerce Secure Transaction Protocol

International Journal of Information and Communication Technology Research, 2017
The development of e-commerce requires security to win the confidence of its stakeholders. Among the common protocols to establish safe financial transactions, Secure Electronic Transaction (SET) protocol has more security providing a safe protocol of ...
Nasrin Alishirvani
doaj