DIAL: A Web-Based Interoperable Scientific Data Distribution System

1999 ◽  
pp. 301-312 ◽  
Author(s):  
Liping Di ◽  
R. Suresh ◽  
K. Doan ◽  
Doug Ilg ◽  
Ken McDonald
Keyword(s):  
Distribution System ◽  
Data Distribution ◽  
Scientific Data ◽  
Web Based

The Butterfly Effect: An Approach to Web-Based Scientific Data Distribution and Management with Linkages to Climate Data and the Semantic Web

2010 ◽  
pp. 133-151
Author(s):  
David P. Waetjen ◽  
James H. Thorne ◽  
Allan D. Hollander ◽  
Arthur M. Shapiro ◽  
James F. Quinn
Keyword(s):  
Semantic Web ◽  
Data Distribution ◽  
Scientific Data ◽  
Climate Data ◽  
Web Based ◽  
Butterfly Effect

scholarly journals An adaptive data distribution system for mobile environments

1996 ◽  
pp. 159-166 ◽  
Author(s):  
Sascha Kümmel ◽  
Alexander Schill ◽  
Karsten Schumann ◽  
Thomas Ziegert
Keyword(s):  
Distribution System ◽  
Data Distribution ◽  
Mobile Environments

scholarly journals Idea Management Systems as a Tool for Goals’ Setting & Achieving and Decision Making: Global Research Results

2021 ◽  
Vol 129 ◽  
pp. 05008
Author(s):  
Elina Mikelsone ◽  
Tatjana Volkova ◽  
Aivars Spilbergs ◽  
Elita Liela
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Data Collection ◽  
Idea Generation ◽  
Value Added ◽  
Scientific Data ◽  
Web Based ◽  
Ongoing Research ◽  
Research Results ◽  
Idea Management

Research background: the authors have explored that there are different idea management system (IMS) application types that could be used both locally and globally for diverse reasons and expected outcomes. There is ongoing research on how IMS could be applied for manageable idea management process. But there is a question – how do these IMS types help to set and achieve goals, and improve decision making? Purpose of the article: The article aims to clarify how an external and mixed web-based IMS could be used during COVID19 time for distance idea generation sessions, as well as, to solve complex issues such as decision making, goals’ setting and reaching them based on different idea generation sources and critical reflection on those ideas of evaluators. Methods: Literature review (data collection: systematic data collection from scientific data bases; data analysis: content analysis). The survey of n>400 enterprises with web-based IMS experience globally (data collection: a survey; data analysis: statistics). Findings & Value added: this paper explores how different types of web-based IMS could be applied as a tool and support system for decision making processes in general, decisions towards goal setting and its outreach. The research results provide also a practical contribution - it could help to choose the most appropriate IMS application type to reach estimated goals and to empower decision making.

Optical Tomography: Real–Time Velocity Profile Measurement Using Pixel–To–Pixel Velocity Method

2012 ◽  
Author(s):  
Yusri Yunos ◽  
Pang Jon Fea ◽  
Ruzairi Abdul Rahim ◽  
Chan Kok San ◽  
Nor Muzakkir Nor Ayob ◽  
...  
Keyword(s):  
Correlation Function ◽  
Velocity Profile ◽  
Data Processing ◽  
Distribution System ◽  
Cross Correlation ◽  
Optical Tomography ◽  
Data Distribution ◽  
Cross Correlation Function ◽  
Profile Measurement ◽  
Processing Unit

Fungsi korelasi–rentas kebiasaannya memerlukan masa pengiraan berkomputer yg panjang, maka ia agak sukar untuk menghasil profil halaju dalam masa yang singkat terutama sekali dalam mod masa-nyata. Oleh itu, system pengagihan data dibangunkan dengan menggunakan unit pemprosesan data berganda dan konsep unit pemprosesan data selari untuk mempercepatkan proses penghasilan profil halaju. Penulisan ini juga membentangkan konfigurasi system pemprosesan data yang baru dan bagaimana ia beleh menggantikan unit pemprosesan tunggal untuk mengira profil halaju dengan lebih pantas. Kata kunci: Profil halaju; fungsi korelasi–rentas; sistem pengagihan data The cross–correlation function usually takes a long computation time, so it is quite hard to produce a velocity profile in a short time especially in online mode. Thus, data distribution system is developed by using multiple data processing units and concept of parallel data processing to speed up the process of producing velocity profile. This paper also presents the configuration of new data processing system and how it can replace single processing unit to compute velocity profile faster. Key words: Velocity profile; cross–correlation function; data distribution system

scholarly journals Data Browser Matsch | Mazia: Web Application to access microclimatic time series of an ecological research site

2021 ◽  
Vol 7 ◽  
Author(s):  
Martin Palma ◽  
Alessandro Zandonai ◽  
Luca Cattani ◽  
Johannes Klotz ◽  
Giulio Genova ◽  
...  
Keyword(s):  
Time Series ◽  
Web Application ◽  
Scientific Data ◽  
Time Range ◽  
Ecological Research ◽  
Data Accessibility ◽  
Web Based ◽  
South Tyrol ◽  
Research Site ◽  
User Friendly

Easily accessible data is an essential requirement for scientific data analysis. The Data Browser Matsch | Mazia was designed to provide a fast and comprehensible solution to access, visualize and download the microclimatic measurements of the IT 25 LT(S)ER Match | Mazia research site in South Tyrol, Northern Italy, with the overall aim to provide straightforward data accessibility and enhance dissemination. Data Browser Matsch | Mazia is a user-friendly web-based application to visualize and download micrometeorological and biophysical time series of the Long-Term Socio-Ecological Research site Matsch | Mazia in South Tyrol, Italy. It is designed both for the general public and researchers. The Data Browser Matsch | Mazia drop-down menus allow the user to query the InfluxDB database in the backend by selecting the measurements, time range, land use and elevation. Interactive Grafana dashboards show dynamic graphs of the time series.

Web service based hydrologic data distribution system

2010 ◽  
Vol 36 (7) ◽  
pp. 819-826 ◽  
Author(s):  
Rahul Kanwar ◽  
Ujjwal Narayan ◽  
Venkat Lakshmi
Keyword(s):  
Web Service ◽  
Distribution System ◽  
Data Distribution ◽  
Hydrologic Data
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