Operational data Processing and Techniques for Innovative MAINTenance (OPTIMAINT)

2011 ◽  
Author(s):  
Frederic Viniacourt ◽  
Yew-Kwong Woon ◽  
Kingston Chan ◽  
Samir Ghelam ◽  
Herve Morel ◽  
...  
Keyword(s):  
Data Processing ◽  
Operational Data

Heteroskedasticity Analysis During Operational Data Processing of Radio Electronic Systems

2021 ◽  
pp. 168-175
Author(s):  
Maksym Zaliskyi ◽  
Oleksandr Solomentsev ◽  
Olga Shcherbyna ◽  
Ivan Ostroumov ◽  
Olha Sushchenko ◽  
...  
Keyword(s):  
Data Processing ◽  
Electronic Systems ◽  
Radio Electronic ◽  
Operational Data

scholarly journals Conceptual model of operational–analytical data marts for big data processing

2020 ◽  
Vol 149 ◽  
pp. 02011
Author(s):  
Aleksey Raevich ◽  
Boris Dobronets ◽  
Olga Popova ◽  
Ksenia Raevich
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Conceptual Model ◽  
Analytical Data ◽  
Information Resources ◽  
Data Sources ◽  
Independent Data ◽  
Big Data Processing ◽  
Data Marts ◽  
Operational Data

Operational data marts that basically constitute slices of thematic narrowly-focused information are designed to provide operational access to big data sources due to consolidation and ranking of information resources based on their relevance. Unlike operational data marts dependent on the sources, analytical data marts are considered as independent data sources created by users to provide structuring of data for the tasks being solved. Therefore, the conceptual model of operational-analytical data marts allows combining the concepts of operational and analytical data marts to generate an analytical cluster that shall act as the basis for quick designing, development and implementation of data models.

scholarly journals EVALUASI PENCAPAIAN LABA PADA HOTEL SAHID KAWANUA MANADO DENGAN MENGGUNAKAN ANALISIS COST VOLUME PROFIT (CVP)

2018 ◽  
Vol 13 (04) ◽  
Author(s):  
Aristion Bunga ◽  
Ventje Ilat ◽  
Dhullo Afandy
Keyword(s):  
Data Processing ◽  
Cost Accounting ◽  
Fixed Costs ◽  
Literature Study ◽  
Microsoft Excel ◽  
Profit Analysis ◽  
Starting Point ◽  
Margin Of Safety ◽  
Break Even Point ◽  
Operational Data

The problem in this research is how to evaluate the achievement of profit by using cost volume profit analysis (CVP) at Hotel Sahid Kawanua Manado, with the starting point from the backgound of competition and growth of hotels that increasingly mushrooming in Manado city. This study aims to determine the calculation and profit planning at Hotel Sahid Kawanua Manado by using sales operational data by using cost volume profit analysis (CVP) for multi product in 2015-2017, and to determine Break Even Point (BEP), profit planning and find out what level of margin of safety (minimum selling rate of company not to suffer losses) in year 2015-2017. The data used comes from literature study, observation and interview on the object of research. This data processing uses the help of Microsoft Excel 2016 program to perform the separation of semivariable costs into fixed costs and variable costs. Besed on the calculation of cost volume profit analysis (CVP), showed that Hotel Sahid Kawanua Manado has done the evaluation of the achievement of earnings well seen from the level of profit generated and the level of margin of safety is increasinng from year to year.Keywords : Cost Accounting, Cost Volume Profit Analysis (CVP), Earnings Achievement

scholarly journals Algorithms of ionospheric anomalies detection in “Aurora” system of operational data analysis

2018 ◽  
Vol 62 ◽  
pp. 02002
Author(s):  
Yuryi Polozov ◽  
Nadezhda Fetisova
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Real Time ◽  
Kamchatka Peninsula ◽  
Geophysical Data ◽  
Parameter Analysis ◽  
Ionospheric Parameter ◽  
Russian Science ◽  
Real Time Mode ◽  
Operational Data

Algorithms for ionospheric data processing are presented in the paper. The algorithms are implemented in the real-time mode of ionospheric parameter analysis. They are a component of “Aurora” software system for geophysical data analysis. The algorithms allow us to estimate the state of the ionosphere in the region of Kamchatka Peninsula and to detect ionospheric anomalies. Assessment of the algorithms efficiency has shown that it is possible to use them to detect ionospheric anomalies that may occur on the eve of magnetic storms. The research is supported by the Russian Science Foundation Grant (Project No. 14-11-00194).

3D Model for Friction Wedge Operational Data Processing

2015 ◽  
Author(s):  
Alexander Gabets ◽  
Igor Levkin ◽  
Alexander Semenov
Keyword(s):  
Data Processing ◽  
3D Model ◽  
Operational Data

scholarly journals ARRANGEMENT AND MODULATION OF ETL PROCESS IN THE STORAGE

2020 ◽  
pp. 3-8
Author(s):  
Jala Aghazada
Keyword(s):  
Data Analysis ◽  
Data Processing ◽  
Data Warehouse ◽  
Analytical Data ◽  
Online Analytical Processing ◽  
Processing Data ◽  
Analytical Processing ◽  
Different Sources ◽  
Operational Data ◽  
Important Significance

Data warehouse (DW) is the basis of systems for operational data analysis (OLAP-Online Analytical Processing). Data extracted from different sources transforms and load in DW. Proper organization of this process, which is called ETL (Extract, Transform, Load) has important significance in creation of DW and analytical data processing. Forms of organization, methods of realization and modeling of ETL processes are considered in this paper.

Operational data processing to improve SPOT image resolution

2001 ◽  
Author(s):  
Eric Breton ◽  
Christophe Latry ◽  
Fabrice Levy ◽  
Bernard Rouge
Keyword(s):  
Data Processing ◽  
Image Resolution ◽  
Spot Image ◽  
Operational Data

scholarly journals The Euclid Data Processing Challenges

2016 ◽  
Vol 12 (S325) ◽  
pp. 73-82 ◽  
Author(s):  
Pierre Dubath ◽  
Nikolaos Apostolakos ◽  
Andrea Bonchi ◽  
Andrey Belikov ◽  
Massimo Brescia ◽  
...  
Keyword(s):  
Data Analysis ◽  
Software Development ◽  
Data Processing ◽  
Data Center ◽  
Near Infrared ◽  
Space Mission ◽  
Science Data ◽  
Operational Data ◽  
Infrared Survey

AbstractEuclid is a Europe-led cosmology space mission dedicated to a visible and near infrared survey of the entire extra-galactic sky. Its purpose is to deepen our knowledge of the dark content of our Universe. After an overview of the Euclid mission and science, this contribution describes how the community is getting organized to face the data analysis challenges, both in software development and in operational data processing matters. It ends with a more specific account of some of the main contributions of the Swiss Science Data Center (SDC-CH).

scholarly journals Small-Scale Cogeneration Plant Data Processing and Analysis

2008 ◽  
Vol 45 (3) ◽  
pp. 25-33
Author(s):  
I. Veidenbergs ◽  
D. Blumberga ◽  
C. Rochas ◽  
F. Romagnoli ◽  
A. Blumberga ◽  
...  
Keyword(s):  
Data Processing ◽  
Energy Production ◽  
Primary Energy ◽  
Electricity Production ◽  
Small Scale ◽  
Cogeneration Plant ◽  
Distributed Energy ◽  
Partial Load ◽  
Plant Data ◽  
Operational Data

Small-Scale Cogeneration Plant Data Processing and Analysis In the article, the operational data on electricity and heat energy generation in a small-scale cogeneration plant are analysed. Different measurements done in the plant formed a basis for estimation and evaluation of the savings of primary energy in comparison with distributed energy production. The authors analyse the efficiency values for the heat and the electricity production in the cogeneration regime and the savings of primary energy when the cogeneration plant works with partial load.

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