scholarly journals Building the Next Generation of Aerospace Data Processing Systems by Reusing Existing Software Components

10.5772/6940 ◽  
2010 ◽  
Author(s):  
James J. ◽  
Robert R. ◽  
Shahin Samadi
Keyword(s):  
Data Processing ◽  
Software Components ◽  
Next Generation

CLASS-BASED MACHINE LEARNING FOR NEXT GENERATION WELLBORE DATA PROCESSING AND INTERPRETATION

2019 ◽  
Author(s):  
Vikas Jain ◽  
Po-Yen Wu ◽  
Ridvan Akkurt ◽  
Brook Hodenfield ◽  
Tianmin Jiang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Processing ◽  
Next Generation

Big Data Processing and Mining for Next Generation Intelligent Transportation Systems

2013 ◽  
Vol 63 (3) ◽  
Author(s):  
Jelena Fiosina ◽  
Maxims Fiosins, Jörg P. Müller
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real World ◽  
Intelligent Transportation Systems ◽  
Social Impact ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Optimization Techniques ◽  
Next Generation ◽  
Big Data Processing

The deployment of future Internet and communication technologies (ICT) provide intelligent transportation systems (ITS) with huge volumes of real-time data (Big Data) that need to be managed, communicated, interpreted, aggregated and analysed. These technologies considerably enhance the effectiveness and user friendliness of ITS, providing considerable economic and social impact. Real-world application scenarios are needed to derive requirements for software architecture and novel features of ITS in the context of the Internet of Things (IoT) and cloud technologies. In this study, we contend that future service- and cloud-based ITS can largely benefit from sophisticated data processing capabilities. Therefore, new Big Data processing and mining (BDPM) as well as optimization techniques need to be developed and applied to support decision-making capabilities. This study presents real-world scenarios of ITS applications, and demonstrates the need for next-generation Big Data analysis and optimization strategies. Decentralised cooperative BDPM methods are reviewed and their effectiveness is evaluated using real-world data models of the city of Hannover, Germany. We point out and discuss future work directions and opportunities in the area of the development of BDPM methods in ITS.

scholarly journals ViennaNGS: A toolbox for building efficient next- generation sequencing analysis pipelines

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 50 ◽  
Author(s):  
Michael T. Wolfinger ◽  
Jörg Fallmann ◽  
Florian Eggenhofer ◽  
Fabian Amman
Keyword(s):  
Next Generation Sequencing ◽  
Sequence Motif ◽  
Software Components ◽  
Sequencing Analysis ◽  
Next Generation ◽  
File Formats ◽  
Next Generation Sequencing Analysis ◽  
Next Generation Sequencing Ngs ◽  
Ngs Data ◽  
Generation Sequencing

Recent achievements in next-generation sequencing (NGS) technologies lead to a high demand for reuseable software components to easily compile customized analysis workflows for big genomics data. We present ViennaNGS, an integrated collection of Perl modules focused on building efficient pipelines for NGS data processing. It comes with functionality for extracting and converting features from common NGS file formats, computation and evaluation of read mapping statistics, as well as normalization of RNA abundance. Moreover, ViennaNGS provides software components for identification and characterization of splice junctions from RNA-seq data, parsing and condensing sequence motif data, automated construction of Assembly and Track Hubs for the UCSC genome browser, as well as wrapper routines for a set of commonly used NGS command line tools.

scholarly journals ELSA – training the next generation of space astrometrists

2007 ◽  
Vol 3 (S248) ◽  
pp. 529-530
Author(s):  
L. Lindegren ◽  
A. Bijaoui ◽  
A. G. A. Brown ◽  
R. Drimmel ◽  
L. Eyer ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Data Processing ◽  
Next Generation ◽  
Research Project ◽  
Processing Methods ◽  
Funded Research ◽  
Space Astrometry ◽  
Young Researchers ◽  
Funded Research Project ◽  
Data Processing Methods

AbstractELSA (European Leadership in Space Astrometry) is an EU-funded research project 2006–2010, contributing to the scientific preparations for the Gaia mission while training young researchers in space astrometry and related subjects. Nine postgraduate (PhD) students and five postdocs have been recruited to the network. Their research focuses on the principles of global astrometric, photometric, and spectroscopic measurements from space, instrument modelling and calibration, and numerical analysis tools and data processing methods relevant for Gaia.

scholarly journals X-ray Metrology for the SemiconductorIndustry Tutorial

2019 ◽  
Vol 124 ◽  
Author(s):  
Daniel F. Sunday ◽  
Wen-li Wu ◽  
Scott Barton ◽  
R. Joseph Kline
Keyword(s):  
Data Processing ◽  
Small Angle ◽  
Semiconductor Industry ◽  
Critical Dimension ◽  
Next Generation ◽  
Dimensional Metrology ◽  
X Ray ◽  
X Ray Scattering ◽  
Short Course ◽  
Ray Scattering

The semiconductor industry is in need of new, in-line dimensional metrology methods with higherspatial resolution for characterizing their next generation nanodevices. The purpose of this short course is to train the semiconductor industry on the NIST-developed critical dimension small angle X-ray scattering (CDSAXS) method. The topics will include both data processing and instrumentation. The short course will also provide an opportunity for discussion of the requirements for CDSAXS and the necessary improvements in X-ray source technology. Expected audience include semiconductor manufacturers, equipment manufacturers, and component manufacturers. The presentations were made at “X-ray Metrology for the Semiconductor Industry” short course at the National Institute of Standards and Technology on Aug. 25, 2016.

scholarly journals Generation Z Awareness on Food Waste Issues (a Study in Tangerang, Indonesia)

2021 ◽  
Vol 6 (2) ◽  
pp. 329
Author(s):  
Diena Mutiara Lemy ◽  
Audrey Rahardja ◽  
Cynthia Swastika Kilya
Keyword(s):  
United Nations ◽  
Data Processing ◽  
Food Waste ◽  
Next Generation ◽  
Environmental Preservation ◽  
Food Loss ◽  
Generation Z ◽  
Surrounding Areas ◽  
United Nations Food ◽  
Waste Food

With resources becoming scarcer, waste of food is something to be avoided. Food waste must be minimized by using various ways to avoid waste in terms of food loss and food waste. In Indonesia itself, without realizing it, the issue of leftover food becomes very big. According to the Head of Representative of the United Nations Food Agency (FAO), Mark Smulders, of the approximately 1.3 trillion tons of food that was lost or wasted, Indonesia contributed around 13 million tons of food waste (food loss and food waste). This study will explore Generation Z's level of awareness of leftover food in Indonesia, especially in the Tangerang and surrounding areas. This research is exploratory in nature. The method is used to research something (which attracts attention) that is not yet known, not understood, or not well recognized. The date is collected using questionnaire that were distributed to respondents, namely Generation Z in Tangerang and its surrounding areas. From the results of data processing and tests carried out in this study, it can be concluded that the current awareness of Generation Z on the issue of leftover food must be raised, because the issue of leftover food itself is one of the issues of environmental preservation. The level of awareness of the issue of leftover food from Generation Z as the next generation must be increased, because only less than half of respondents are aware of this issue of leftovers.

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