scholarly journals Open Source Fault-tolerant Grid Frequency Measurement for Solar Inverters

2021 ◽  
Author(s):  
Bailu Xiao ◽  
Fuhua Li ◽  
Yilu Liu ◽  
Lingwei Zhan
Keyword(s):  
Open Source ◽  
Fault Tolerant ◽  
Frequency Measurement

Managing Large Volumes of Interlinked Text and Knowledge With the KnowledgeStore

2018 ◽  
pp. 32-61
Author(s):  
Francesco Corcoglioniti ◽  
Marco Rospocher ◽  
Roldano Cattoni ◽  
Bernardo Magnini ◽  
Luciano Serafini
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
Fault Tolerant ◽  
Storage System ◽  
Open Data ◽  
Unstructured Data ◽  
Data Sources ◽  
Concept Design ◽  
Design Function ◽  
Eu Project

This chapter describes the KnowledgeStore, a scalable, fault-tolerant, and Semantic Web grounded open-source storage system to jointly store, manage, retrieve, and query interlinked structured and unstructured data, especially designed to manage all the data involved in Knowledge Extraction applications. The chapter presents the concept, design, function and implementation of the KnowledgeStore, and reports on its concrete usage in four application scenarios within the NewsReader EU project, where it has been successfully used to store and support the querying of millions of news articles interlinked with billions of RDF triples, both extracted from text and imported from Linked Open Data sources.

scholarly journals Surrogate-Based Optimization Using an Open-Source Framework: The Bulbous Bow Shape Optimization Case

2018 ◽  
Vol 23 (4) ◽  
pp. 60 ◽  
Author(s):  
Joel Guerrero ◽  
Alberto Cominetti ◽  
Jan Pralits ◽  
Diego Villa
Keyword(s):  
Shape Optimization ◽  
Open Source ◽  
Fault Tolerant ◽  
Work Flow ◽  
Hydrodynamic Resistance ◽  
Practical Case ◽  
Optimization Strategy ◽  
Surrogate Based Optimization ◽  
Bulbous Bow ◽  
Solid Modeler

Shape optimization is a very time-consuming and expensive task, especially if experimental tests need to be performed. To overcome the challenges of geometry optimization, the industry is increasingly relying on numerical simulations. These kinds of problems typically involve the interaction of three main applications: a solid modeler, a multi-physics solver, and an optimizer. In this manuscript, we present a shape optimization work-flow entirely based on open-source tools; it is fault tolerant and software agnostic, allows for asynchronous simulations, and has a high degree of automation. To demonstrate the usability and flexibility of the proposed methodology, we tested it in a practical case related to the naval industry, where we aimed at optimizing the shape of a bulbous bow in order to minimize the hydrodynamic resistance. As design variables, we considered the protrusion and immersion of the bulbous bow, and we used surrogate-based optimization. From the results presented, a non-negligible resistance reduction is obtainable using the proposed work-flow and optimization strategy.

scholarly journals Fault-tolerant grid frequency measurement algorithm during transients

2020 ◽  
Vol 2 (3) ◽  
pp. 173-178 ◽  
Author(s):  
Lingwei Zhan ◽  
Bailu Xiao ◽  
Fuhua Li ◽  
He Yin ◽  
Wenxuan Yao ◽  
...  
Keyword(s):  
Fault Tolerant ◽  
Frequency Measurement ◽  
Measurement Algorithm

scholarly journals CEVERO: A soft-error hardened SoC for aerospace applications

2020 ◽  
Author(s):  
Igor Silva ◽  
Otávio Do Espírito Santo ◽  
Diego Do Nascimento ◽  
Samuel Xavier-de-Souza
Keyword(s):  
Fault Tolerance ◽  
Open Source ◽  
Fault Tolerant ◽  
Soft Error ◽  
Radiation Hardening ◽  
Space Environment ◽  
Concept Design ◽  
Aerospace Applications ◽  
State Recovery ◽  
Dual Module

Radiation in the space environment poses a constant threat to circuit devices, and, as a solution, several fault tolerance techniques have been developed. However, some techniques use either proprietary technology or radiation-hardening specialized foundries to manufacture, either of which are not easily accessible to most researchers. There is, yet, another set of rad-hard techniques which provide sufficient fault tolerance to specific aerospace applications. The CEVERO SoC is a custom proofof-concept design that implements techniques as lockstep, dual module redundancy and state recovery in its inner fault tolerance module. It is meant to integrate with the open-source PULP platform and to open a path to a full fault-tolerant SoC.

Towards a scalable, open-standards service for brokering cross-protocol data transfers across multiple sources and sinks

2010 ◽  
Vol 368 (1926) ◽  
pp. 4115-4131
Author(s):  
David Meredith ◽  
Stephen Crouch ◽  
Gerson Galang ◽  
Ming Jiang ◽  
Hung Nguyen ◽  
...  
Keyword(s):  
Open Source ◽  
Design Patterns ◽  
Data Transfer ◽  
Fault Tolerant ◽  
Data Access ◽  
Third Party ◽  
Multiple Sources ◽  
Wide Range ◽  
Bulk Data ◽  
Open Standards

Data Transfer Service (DTS) is an open-source project that is developing a document-centric message model for describing a bulk data transfer activity, with an accompanying set of loosely coupled and platform-independent components for brokering the transfer of data between a wide range of (potentially incompatible) storage resources as scheduled, fault-tolerant batch jobs. The architecture scales from small embedded deployments on a single computer to large distributed deployments through an expandable ‘worker-node pool’ controlled through message-orientated middleware. Data access and transfer efficiency are maximized through the strategic placement of worker nodes at or between particular data sources/sinks. The design is inherently asynchronous, and, when third-party transfer is not available, it side-steps the bandwidth, concurrency and scalability limitations associated with buffering bytes directly through intermediary client applications. It aims to address geographical–topological deployment concerns by allowing service hosting to be either centralized (as part of a shared service) or confined to a single institution or domain. Established design patterns and open-source components are coupled with a proposal for a document-centric and open-standards-based messaging protocol. As part of the development of the message protocol, a bulk data copy activity document is proposed for the first time.

scholarly journals A Distribution of Nodes in Big Data using Hadoop Open Source System

2020 ◽  
Vol 9 (3) ◽  
pp. 106-110
Keyword(s):  
Big Data ◽  
Open Source ◽  
Data Storage ◽  
High Speed ◽  
File System ◽  
Fault Tolerant ◽  
Heart Beat ◽  
Distributed File System ◽  
Process Data ◽  
Hadoop Distributed File System

Apache Hadoop is an free open source Java framework under Apache Software Foundation. It provides storage of large amount of data efficiently with low costing. Hadoop has two main core components one is HDFS (Hadoop Distributed File System) and second Map Reduce. It is basically a file system and has capability of high fault-tolerant and while deploying supports less cost hardware. It. provides the high speed admittance to the relevance data. The Hadoop architecture is based on cluster, which consist of two nodes named as Data -Node and Name-Node which perform the internal activity known as heart beat to process data storage on distributed file system and Map reducing is performed internally to show the clustering of distributed data on localhost of ssh serverwebsite. Large quantity of data is needed to store in distributed file structure, for this Hadoop has played important role. Maintaining the large volume storage, making data duplicity for providing security and recovery of big data for its analysis and prediction.

Open Source

2007 ◽  
Author(s):  
Fadi P. Deek ◽  
James A. M. McHugh
Keyword(s):  
Open Source
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