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 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.

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.

scholarly journals Algorithms and software for UAV flight planning for monitoring the stress conditions of plantations

2020 ◽  
Author(s):  
D. Komarchuk ◽  
◽  
N. Pasichnyk ◽  
V. Lysenko ◽  
O. Opryshko ◽  
...  
Keyword(s):  
Programming Language ◽  
Vegetation Index ◽  
Plant Immunity ◽  
Plant Stress ◽  
Experimental Studies ◽  
Image Resolution ◽  
Flight Planning ◽  
Cross Platform ◽  
The Cross ◽  
Technological Stresses

Remote monitoring technology is a mandatory component of the crop management concept. The available solutions allow determining the presence of plant stress but not identifying its causes. A particular danger is presented by stresses of a technological nature, and chemical poisoning of plants due to the aftereffect of herbicides, compaction of the subsoil, and the like. Plant stresses of a technological nature lead to a decrease in plant immunity and, accordingly, special measures are needed to restore their productivity. Laboratory methods for analyzing stress, in particular, chemical poisoning of plants, are technologically complex and expensive, which prevents their widespread use. Remote sensing technologies are capable of identifying areas with manifestations of technological stresses since such stresses have characteristic features. As our studies have shown, a promising method for identifying plant areas with signs of technological stress is the method of leaf diagnostics. For such areas, it is necessary to carry out monitoring with the highest image resolution, it is assumed in the UAV flight program. Taking into account the above, the aim of the work was to develop an algorithm and software for its implementation of UAV flight planning for the identification of plant stresses of a technological nature. The software was developed in the cross-platform programming language Python, and it allowed processing maps of the distribution of vegetation indices (for experimental studies, maps were used that were created using the Slantrange spectral sensor system). The use of the algorithm, implemented in the cross-platform programming language Python, made it possible to identify the paths of movement of technological equipment, the contours of areas with close values of the vegetation index, and the main features of areas with plant stress of a technological nature. The accuracy of identifying areas with technological stresses has been confirmed by ground surveys in production fields.

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.

scholarly journals IMPLEMENTATION OF CROSS-PLATFORM SIMULATION SERVER OF CTC

2021 ◽  
Vol 1 (1) ◽  
pp. 131-132
Author(s):  
Maksim Krivov ◽  
Elena Nechaeva
Keyword(s):  
Computer Simulator ◽  
Cross Platform ◽  
The Cross

The structure of the cross-platform server of the computer simulator platform is considered.

scholarly journals CIF applications. XIII.CIFEDIT, a program for viewing and editing CIFs

2003 ◽  
Vol 36 (5) ◽  
pp. 1288-1289 ◽  
Author(s):  
Brian H. Toby
Keyword(s):  
Cross Platform ◽  
The Cross ◽  
Scripting Language

TheCIFEDITprogram displays the contents of single- or multi-block crystallographic information files (CIF). The program can also be used to edit the data values for CIF items, including adding or deleting sets of entries in a loop. CIF dictionaries are used to display definitions for data names and units. In the case of DDL 1.4 dictionaries, validation information is used to check numerical values. The program is written using the cross-platform scripting language Tcl/Tk and thus is largely platform-independent. It has been tested under Windows, Mac OS X and Unix.

Ukrainian dactyl alphabet gesture recognition using cross platform software and convolutional neural networks

2019 ◽  
Vol 24 (3-4) ◽  
pp. 107-113
Author(s):  
Kondratiuk S.S. ◽  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Convolutional Neural Network ◽  
Sign Language ◽  
Convolutional Neural Networks ◽  
Gesture Recognition ◽  
Training Dataset ◽  
Hand Model ◽  
Cross Platform ◽  
The Cross

The technology, which is implemented with cross platform tools, is proposed for modeling of gesture units of sign language, animation between states of gesture units with a combination of gestures (words). Implemented technology simulates sequence of gestures using virtual spatial hand model and performs recognition of dactyl items from camera input using trained on collected training dataset set convolutional neural network. With the cross platform means technology achieves the ability to run on multiple platforms without re-implementing for each platform

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