File retrieval and storage in the open source cloud tool using digital bipartite and digit compact prefix indexing method

2019 ◽  
Vol 31 (14) ◽  
Author(s):  
P. Priya Ponnuswamy ◽  
R. Vidhya Priya ◽  
C.P. Shabari Ram
Keyword(s):  
Open Source ◽  
Indexing Method ◽  
File Retrieval ◽  
And Storage

scholarly journals Open-source multi-year power generation, consumption, and storage data in a microgrid

2021 ◽  
Vol 13 (2) ◽  
pp. 025301
Author(s):  
Sushil Silwal ◽  
Colton Mullican ◽  
Yi-An Chen ◽  
Avik Ghosh ◽  
John Dilliott ◽  
...  
Keyword(s):  
Power Generation ◽  
Open Source ◽  
And Storage

scholarly journals Monitoring System for Tracking a PV Generator in an Experimental Smart Microgrid: An Open-Source Solution

2021 ◽  
Vol 13 (15) ◽  
pp. 8182
Author(s):  
José María Portalo ◽  
Isaías González ◽  
Antonio José Calderón
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
Smart Grids ◽  
Raspberry Pi ◽  
Operator Interface ◽  
Open Source Hardware ◽  
Real Time Information ◽  
And Storage ◽  
Time Information ◽  
Pv Generator

Smart grids and smart microgrids (SMGs) require proper monitoring for their operation. To this end, measuring, data acquisition, and storage, as well as remote online visualization of real-time information, must be performed using suitable equipment. An experimental SMG is being deployed that combines photovoltaics and the energy carrier hydrogen through the interconnection of photovoltaic panels, electrolyser, fuel cell, and load around a voltage bus powered by a lithium battery. This paper presents a monitoring system based on open-source hardware and software for tracking the temperature of the photovoltaic generator in such an SMG. In fact, the increases in temperature in PV modules lead to a decrease in their efficiency, so this parameter needs to be measured in order to monitor and evaluate the operation. Specifically, the developed monitoring system consists of a network of digital temperature sensors connected to an Arduino microcontroller, which feeds the acquired data to a Raspberry Pi microcomputer. The latter is accessed by a cloud-enabled user/operator interface implemented in Grafana. The monitoring system is expounded and experimental results are reported to validate the proposal.

scholarly journals SimCCS: An open-source tool for optimizing CO2 capture, transport, and storage infrastructure

2020 ◽  
Vol 124 ◽  
pp. 104560 ◽  
Author(s):  
Richard S. Middleton ◽  
Sean P. Yaw ◽  
Brendan A. Hoover ◽  
Kevin M. Ellett
Keyword(s):  
Open Source ◽  
Co2 Capture ◽  
Open Source Tool ◽  
And Storage

scholarly journals SARS-CoV-2 RECoVERY: a multi-platform open-source bioinformatic pipeline for the automatic construction and analysis of SARS-CoV-2 genomes from NGS sequencing data

2021 ◽  
Author(s):  
Luca De Sabato ◽  
Gabriele Vaccari ◽  
Arnold Knijn ◽  
Giovanni Ianiro ◽  
Ilaria Di Bartolo ◽  
...  
Keyword(s):  
Open Source ◽  
Viral Genome ◽  
Rapid Analysis ◽  
Easy Access ◽  
Sequencing Data ◽  
Bioinformatics Pipeline ◽  
Bioinformatics Analyses ◽  
Sequencing Platform ◽  
Link Type ◽  
And Storage

AbstractBackgroundSince its first appearance in December 2019, the novel Severe Acute Respiratory Syndrome Coronavirus type 2 (SARS-CoV-2), spread worldwide causing an increasing number of cases and deaths (35,537,491 and 1,042,798, respectively at the time of writing, https://covid19.who.int). Similarly, the number of complete viral genome sequences produced by Next Generation Sequencing (NGS), increased exponentially. NGS enables a rapid accumulation of a large number of sequences. However, bioinformatics analyses are critical and require combined approaches for data analysis, which can be challenging for non-bioinformaticians.ResultsA user-friendly and sequencing platform-independent bioinformatics pipeline, named SARS-CoV-2 RECoVERY (REconstruction of CoronaVirus gEnomes & Rapid analYsis) has been developed to build SARS-CoV-2 complete genomes from raw sequencing reads and to investigate variants. The genomes built by SARS-CoV-2 RECoVERY were compared with those obtained using other software available and revealed comparable or better performances of SARS–CoV2 RECoVERY. Depending on the number of reads, the complete genome reconstruction and variants analysis can be achieved in less than one hour. The pipeline was implemented in the multi-usage open-source Galaxy platform allowing an easy access to the software and providing computational and storage resources to the community.ConclusionsSARS-CoV-2 RECoVERY is a piece of software destined to the scientific community working on SARS-CoV-2 phylogeny and molecular characterisation, providing a performant tool for the complete reconstruction and variants’ analysis of the viral genome. Additionally, the simple software interface and the ability to use it through a Galaxy instance without the need to implement computing and storage infrastructures, make SARS-CoV-2 RECoVERY a resource also for virologists with little or no bioinformatics skills.Availability and implementationThe pipeline SARS-CoV-2 RECoVERY (REconstruction of COronaVirus gEnomes & Rapid analYsis) is implemented in the Galaxy instance ARIES (https://aries.iss.it).

scholarly journals Biobtree: A tool to search and map bioinformatics identifiers and special keywords

F1000Research ◽  
2020 ◽  
Vol 8 ◽  
pp. 145
Author(s):  
Tamer Gur
Keyword(s):  
Web Services ◽  
Open Source ◽  
Resource Usage ◽  
Web Interface ◽  
Bioinformatics Tool ◽  
Link Type ◽  
As Species ◽  
Storage Resource ◽  
Executable File ◽  
And Storage

Biobtree is a bioinformatics tool to search and map bioinformatics datasets via identifiers or special keywords such as species name. It processes large bioinformatics datasets using a specialized MapReduce-based solution with optimum computational and storage resource usage. It provides uniform and B+ tree-based database output, a web interface, web services and allows performing chain mapping queries between datasets. It can be used via a single executable file or alternatively it can be used via the R or Python-based wrapper packages which are additionally provided for easier integration into existing pipelines. Biobtree is open source and available at GitHub.

scholarly journals Investigating the European Energetic Situation Under a Potential Scenario that Marginally Meets Green Deal Requirements

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Global Change ◽  
Open Source ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
Assessment Model ◽  
Simulation Data ◽  
Global Change Assessment Model ◽  
High Penetration ◽  
Electro Mobility ◽  
And Storage

The paper presents a potential energetic scenario that leads to near zero emissions for Europe in 2050, marginally meeting Green Deal requirements. Nevertheless, technologically wise it is an advanced implementation. It proposes a relatively high penetration of renewables (wind, solar, geothermal, biomass and nuclear), the increased use of electro-mobility, carbon capture and storage, hydrogen and other technologies. The simulations were performed using the open source Global Change Assessment Model (GCAM) and the simulation data and results are available online

scholarly journals GRACC: GRid ACcounting Collector

2019 ◽  
Vol 214 ◽  
pp. 03032
Author(s):  
Derek Weitzel ◽  
Brian Bockelman ◽  
Marian Zvada ◽  
Kevin Retzke ◽  
Shreyas Bhat
Keyword(s):  
Open Source ◽  
Data Storage ◽  
Data Visualization ◽  
Large Data ◽  
Accounting System ◽  
Multiple Agents ◽  
Web Technologies ◽  
Storage Resource ◽  
Database Technology ◽  
And Storage

The OSG has long maintained a central accounting system called Gratia. It uses small probes on each computing and storage resource in order to collect resource usage. The probes report to a central collector which stores the usage in a database. The database is then queried to generate reports. As the OSG aged, the size of the database grew very large. It became too large for the database technology to efficiently query to generate detailed reports. The design of a replacement requires data storage that could be queried efficiently to generate multi-year reports. Additionally, it requires flexibilityto add new attributes to the collected data. In this paper we will describe updates to the GRACC architecture in the last 18 months. GRACC uses modern web technologies that were designed for large data storage, query, and visualization. That includes the open source database Elasticsearch, message broker software RabbitMQ, and Grafana and Kibana as data visualization platforms. It uses multiple agents that perform operations on the data to transform it for easier querying and summarization.

scholarly journals OpenEP: A Cross-Platform Electroanatomic Mapping Data Format and Analysis Platform for Electrophysiology Research

2021 ◽  
Vol 12 ◽  
Author(s):  
Steven E. Williams ◽  
Caroline H. Roney ◽  
Adam Connolly ◽  
Iain Sim ◽  
John Whitaker ◽  
...  
Keyword(s):  
Data Structure ◽  
Open Source ◽  
Electroanatomic Mapping ◽  
Systematic Bias ◽  
Mapping Data ◽  
Velocity Mapping ◽  
Analysis Techniques ◽  
Voltage Mapping ◽  
And Storage ◽  
Activation Mapping

BackgroundElectroanatomic mapping systems are used to support electrophysiology research. Data exported from these systems is stored in proprietary formats which are challenging to access and storage-space inefficient. No previous work has made available an open-source platform for parsing and interrogating this data in a standardized format. We therefore sought to develop a standardized, open-source data structure and associated computer code to store electroanatomic mapping data in a space-efficient and easily accessible manner.MethodsA data structure was defined capturing the available anatomic and electrical data. OpenEP, implemented in MATLAB, was developed to parse and interrogate this data. Functions are provided for analysis of chamber geometry, activation mapping, conduction velocity mapping, voltage mapping, ablation sites, and electrograms as well as visualization and input/output functions. Performance benchmarking for data import and storage was performed. Data import and analysis validation was performed for chamber geometry, activation mapping, voltage mapping and ablation representation. Finally, systematic analysis of electrophysiology literature was performed to determine the suitability of OpenEP for contemporary electrophysiology research.ResultsThe average time to parse clinical datasets was 400 ± 162 s per patient. OpenEP data was two orders of magnitude smaller than compressed clinical data (OpenEP: 20.5 ± 8.7 Mb, vs clinical: 1.46 ± 0.77 Gb). OpenEP-derived geometry metrics were correlated with the same clinical metrics (Area: R2 = 0.7726, P < 0.0001; Volume: R2 = 0.5179, P < 0.0001). Investigating the cause of systematic bias in these correlations revealed OpenEP to outperform the clinical platform in recovering accurate values. Both activation and voltage mapping data created with OpenEP were correlated with clinical values (mean voltage R2 = 0.8708, P < 0.001; local activation time R2 = 0.8892, P < 0.0001). OpenEP provides the processing necessary for 87 of 92 qualitatively assessed analysis techniques (95%) and 119 of 136 quantitatively assessed analysis techniques (88%) in a contemporary cohort of mapping studies.ConclusionsWe present the OpenEP framework for evaluating electroanatomic mapping data. OpenEP provides the core functionality necessary to conduct electroanatomic mapping research. We demonstrate that OpenEP is both space-efficient and accurately representative of the original data. We show that OpenEP captures the majority of data required for contemporary electroanatomic mapping-based electrophysiology research and propose a roadmap for future development.

scholarly journals Factors Affecting Application Launch Time with Android OS

2020 ◽  
pp. 1791-1797 ◽  
Author(s):  
Khalid Sabah Noori ◽  
Assmaa A. Fahad
Keyword(s):  
Open Source ◽  
Analysis Of Variance ◽  
Design Of Experiment ◽  
Third Party ◽  
Factors Affecting ◽  
The Third ◽  
Mk Test ◽  
Android Os ◽  
The Third Party ◽  
And Storage

Android OS is developing very fast, and because of being an open source OS, it is vulnerable to many problems that are manifested to users directly or indirectly. Poor application launch time is one of these problems. In this paper, a set of sixteen experiments is established to distinguish the factors that have the most evident effects on application launch time in Android mobiles. These factors are application, launch and kill, events, and storage. Mann Kendall (MK) test, one way analysis of variance (ANOVA), and Design of Experiment (DOE) are used to prove the influence of factors statistically. As a result of the experiments, the application factor, especially the third party applications level, has the most prominent effects on application launch time, followed by launch and Kill and events, while storage had the least influence.

Sign in / Sign up

Export Citation Format

Share Document