Digital Economy: Model for Optimizing the Industry Profit of the Cross-Platform Mobile Applications Market

2018 ◽  
pp. 21-28
Author(s):  
Ilona Tregub ◽  
Nataliya Drobysheva ◽  
Andrey Tregub
Keyword(s):  
Mobile Applications ◽  
Digital Economy ◽  
Economy Model ◽  
Cross Platform ◽  
The Cross

scholarly journals Investigation of the cross-platform Flutter framework. Will the heyday of this technology mean the disappearance of the native development on Android and iOS?

2019 ◽  
Keyword(s):  
Mobile Applications ◽  
Practical Test ◽  
Cross Platform ◽  
The Cross

The work is devoted to research of the cross-platform framework for developing mobile applications Flutter from Google. A practical test of the technology was carried out to establish whether it is convenient enough and reliable. The article presents the findings of the testing. The comparison of the mechanisms of Flutter and other popular mobile cross-platform frameworks is given. The main features and differences of the technology are considered. Recommendations on its use are formulated.

A Comparison of Native and Cross-Platform Frameworks for Mobile Applications

Computer ◽  
2021 ◽  
Vol 54 (3) ◽  
pp. 18-27
Author(s):  
Piotr Nawrocki ◽  
Krzysztof Wrona ◽  
Mateusz Marczak ◽  
Bartlomiej Sniezynski
Keyword(s):  
Mobile Applications ◽  
Cross Platform

scholarly journals КРОС-МЕДІЙНІ ІНСТРУМЕНТИ МОНЕТИЗАЦІЇ ТЕЛЕВІЗІЙНОГО Й ІНТЕРНЕТ-КОНТЕНТУ

2019 ◽  
Vol 2 (1(31)) ◽  
pp. 8-16
Author(s):  
Черемних І. В.
Keyword(s):  
Online Content ◽  
Cross Media ◽  
Media Consolidation ◽  
Internet Tv ◽  
Cross Platform ◽  
The Media ◽  
Pay Tv ◽  
The Cross ◽  
Media Market

The article is devoted to the problems of finding new forms of interaction between various media market players and new tools for converting TV and Internet content into profit. Changing the paradigm of consumption of TV and online content creates new conditions for the functioning of media business in Ukraine. Media can effectively monetize content through cross-platform processes such as co-branding, sampling, media baying, PayWall, b2b, b2c partnership, Transmedia Storytteling and others. First of all, it concerns the co-operation of traditional and Internet TV, PAY-TV, IPTV / OTT, digital, cable and satellite penetration, TV and Internet content producers, operators, providers. Through the cross-media consolidation of resources, the combination and distribution of content, players of the media market have the opportunity to successfully finance their budgets and receive greater dividends from the integration of efforts.

DEVELOPMENT OF THE CROSS-PLATFORM VIRTUAL LABORATORY ON PHYSICS

2017 ◽  
Author(s):  
Yevgeniya Daineko ◽  
Madina Ipalakova ◽  
Mariya Brodyagina ◽  
Marina Yunnikova ◽  
Maulen Bekturganov
Keyword(s):  
Virtual Laboratory ◽  
Cross Platform ◽  
The Cross

scholarly journals Developing a Declarative Analysis Language: LINQToROOT

2019 ◽  
Vol 214 ◽  
pp. 06039
Author(s):  
Gordon Watts
Keyword(s):  
Parallel Processing ◽  
Recent Work ◽  
Data Model ◽  
Event Processing ◽  
C Language ◽  
Cross Platform ◽  
Query System ◽  
Quick Turnaround ◽  
The Cross

The HEP community is preparing for the LHC’s Run 3 and 4. One of the big challenges for physics analysis will be developing tools to efficiently express an analysis and able to efficiently process the x10 more data expected. Recently, interest has focused on declarative analysis languages: a way of specifying a physicists’ intent and leaving everything else to the underlying system. The underlying system takes care of finding the data - powering the event processing loop – and even exactly how to most efficiently apply a desired jet selection. If this works, this would allow an analyser to test their algorithm on a small amount of data on their GPU-less laptop and then run it on a large amount of data on a server with multiple large GPU’s without having to alter their code. The LINQToROOT project, started almost seven years ago, fits this model. It has been used and tested in three ATLAS published analyses. LINQToROOT is based on the Language Integrated Query system built into the cross-platform C# language. It enables writing strongly-typed queries on a ROOT’s TTree’s data and transcribes the data to a C++ algorithm that can run in ROOT. Recent work on this system has had two goals: improving analysis efficiency and better understanding the requirements of a declarative analysis language. For example, a good analysis language should be able to abstract away the backend – recent work has increased the possible back ends from formerly the single Windows ROOT backend to one that runs on Linux, the Windows Linux-subsystem, and an experimental one that allows for PROOF like parallel processing – all done with almost no change to the analysis code itself. Any analysis language must also be rich enough to support an experiment’s data model. To test this, some experiments with the full ATLAS xAOD data model have been performed. All of this has been done while attempting to keep the project close to its original goals: quick turnaround for real ATLAS physics analysis. This work will be discussed in some detail along with thoughts and lessons that have helped shape our thinking about an Analysis Language and perhaps our approach to future physics analysis employing declarative analysis.

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