New Methods and Tools for Developing Real-Time Software

2009 ◽  
Author(s):  
Bran Selic
Keyword(s):  
Real Time ◽  
New Methods

scholarly journals Language Education in the Age of Globalization and Innovation

2019 ◽  
Vol 71 ◽  
pp. 05010
Author(s):  
V. Dobrova ◽  
P. Labzina ◽  
N. Ageenko ◽  
S. Menshenina
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
3D Modeling ◽  
Language Education ◽  
Innovative Technology ◽  
Language Program ◽  
The Real ◽  
New Methods ◽  
Methods And Techniques ◽  
Frame Method

Globalization and innovation have recently resulted in the extensive use of the latest technological products practically everywhere, and in education especially. Various technologies are now employed in different spheres of education. Virtual Reality (VR) is a global innovative technology with great potentials and enormous pedagogical possibilities that offers new methods and techniques for education. The main features of it are visibility, security, involvement, presence and focusing. It enables to combine the computer-generated virtual information and the real environment in real time. The presented VR language program is based on the concept of 3D modeling and semantic frame method.

New methods and algorithms for the accurate, real-time motion analysis of the left ventricle with MRI-tagging

2001 ◽  
Vol 1230 ◽  
pp. 954-960 ◽  
Author(s):  
Cyrill F Allouche ◽  
Sherif Makram-Ebeid ◽  
Matthias Stuber ◽  
Nicholas Ayache ◽  
Hervé Delingette
Keyword(s):  
Left Ventricle ◽  
Real Time ◽  
Motion Analysis ◽  
New Methods ◽  
Time Motion

New methods for redistributing slack time in real-time systems: applications and comparative evaluations

2004 ◽  
Vol 69 (1-2) ◽  
pp. 115-128 ◽  
Author(s):  
R.M. Santos ◽  
J. Urriza ◽  
J. Santos ◽  
J. Orozco
Keyword(s):  
Real Time ◽  
Real Time Systems ◽  
New Methods ◽  
Slack Time ◽  
Time Systems

Developmental Dynamics in Real Time

2009 ◽  
Vol 17 (3) ◽  
pp. 3-5
Author(s):  
Stephen W. Carmichael
Keyword(s):  
Real Time ◽  
Quantitative Methods ◽  
Migration Patterns ◽  
New Methods ◽  
Complex Interactions ◽  
Imaging Approach ◽  
Static Images ◽  
Embryologic Development ◽  
Time Periods ◽  
Developmental Dynamics

Embryologic development is a dynamic process that has been previously studied by examining static (usually chemically-fixed) specimens at different time periods and then extrapolating results by assembling a series of static images. Recently, Amy McMahon, Willy Supatto, Scott Fraser, and Angelike Stathopoulos have developed new methods to look at developmental migration patterns in real time. They used an optimized imaging approach and quantitative methods to analyze a two hour period during which gastrulation occurred in the embryos of fruitflies (Drosophila). Specifically, they characterized the complex interactions between cells of the ectoderm and mesoderm by tracking the movements of over 1,500 cells, which involved the analysis of over 100,000 cell positions for each embryo!

scholarly journals A framework for offline evaluation and optimization of real-time algorithms for use in neurofeedback, demonstrated on an instantaneous proxy for correlations

2018 ◽  
Author(s):  
Michal Ramot ◽  
Javier Gonzalez-Castillo
Keyword(s):  
Real Time ◽  
Imaging Techniques ◽  
Science Research ◽  
Optimal Parameters ◽  
Network Nodes ◽  
Psychiatric Illnesses ◽  
The Past ◽  
New Methods ◽  
Processing Stream ◽  
Single Region

AbstractInterest in real-time fMRI neurofeedback has grown exponentially over the past few years, both for use as a basic science research tool, and as part of the search for novel clinical interventions for neurological and psychiatric illnesses. In order to expand the range of questions which can be addressed with this tool however, new neurofeedback methods must be developed, going beyond feedback of activations in a single region. These new methods, several of which have already been proposed, are by their nature complex, involving many possible parameters. Here we suggest a framework for evaluating and optimizing algorithms for use in a real-time setting, before beginning the neurofeedback experiment, by offline simulations of algorithm output using a previously collected dataset. We demonstrate the application of this framework on the instantaneous proxy for correlations which we developed for training connectivity between different network nodes, identify the optimal parameters for use with this algorithm, and compare it to more traditional correlation methods. We also examine the effects of advanced imaging techniques, such as multi-echo acquisition, and the integration of these into the realtime processing stream.

Identification System for Moving Objects Based on Parallel Shift Technology

2020 ◽  
pp. 374-387
Author(s):  
Sergey Yuzhakov ◽  
Stepan Mykolayovych Bilan
Keyword(s):  
Real Time ◽  
Moving Objects ◽  
Ordered Set ◽  
Automatic Identification ◽  
Identification System ◽  
Automated Identification ◽  
New Methods ◽  
Parallel Shift

There are tasks of automatic identification of the moving stock of the railway, one of which is the automatic identification of rail cars cars by their number plates. Different organizational, legal, moral and ethical, technical, and programmatic methods of automated identification are used to solve this problem. At present little attention is paid to the development of means of automatic identification of moving objects, which would be possible regardless of the orientation and shape of the figure, especially if it concerns the recognition of freely oriented images of number plates. Therefore, many new methods for recognizing of number plates are developing. In the chapter, the system of identification of objects by their number plates in real time is considered. On moving objects (moving stock of a railway), an identifier image is drawn, which is an ordered set of characters. As a rule, these are numbers. But there may be other characters. The work also discusses the method of identification images of number plates with a high percentage of noise.

Real-time monitoring of cotranscriptional riboswitch folding and switching

2019 ◽  
Author(s):  
Boyang Hua ◽  
Christopher P. Jones ◽  
Jaba Mitra ◽  
Peter J. Murray ◽  
Rebecca Rosenthal ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rna Polymerase ◽  
Real Time ◽  
Single Molecule ◽  
Rna Folding ◽  
Its Sequence ◽  
Transcriptional Terminator ◽  
Fate Control ◽  
New Methods ◽  
Nascent Chain

SummaryRiboswitches function through cotranscriptional conformation switching governed by cognate ligand concentration, RNA folding and transcription elongation kinetics. To investigate how these parameters influence riboswitch folding, we developed a novel vectorial folding assay (VF) in which the superhelicase Rep-X sequentially liberates the RNA strand from a heteroduplex in a 5’-to-3’ direction, mimicking the nascent chain emergence during transcription. The RNA polymerase (RNAP)-free VF recapitulates the kinetically controlled cotranscriptional folding of a ZTP riboswitch, whose activation is favored by slower transcription, strategic pausing, or a weakened transcriptional terminator. New methods to observe positions and local rates of individual helicases show an average Rep-X unwinding rate similar to bacterial RNAP elongation (~60 nt/s). Real-time single-molecule monitoring captured folding riboswitches in multiple states, including an intermediate responsible for delayed terminator formation. These methods allow observation of individual folding RNAs as they occupy distinct folding channels within the landscape that controls gene expression and showed that riboswitch fate control is encoded in its sequence and is readily interpreted by a directionally moving protein even in the absence of an RNA polymerase.

Integration of structural simulations into a real-time capable Overall System Simulation for complex mechatronic systems

2019 ◽  
Vol 10 (02) ◽  
pp. 1940002
Author(s):  
Dorit Kaufmann ◽  
Juergen Rossmann
Keyword(s):  
Real Time ◽  
System Simulation ◽  
Cost Effective ◽  
Structural Behavior ◽  
System Failure ◽  
Simulation Methods ◽  
Mechatronic Systems ◽  
Element Analysis ◽  
New Methods ◽  
And Robotics

To meet the rising demand of performing complex tasks in a highly technologized world, the development of mechatronic systems faces two major challenges: First, the system is integrated in a fast changing environment and has to cope with dynamically modified tasks and circumstances. At the same time, the development of new methods has to be fast, cost-effective and efficient. By taking care of both aspects simultaneously, simulations have become an acknowledged tool to cost-effectively and rapidly test and optimize new solutions for complex mechatronic systems, as they are common in, e.g., robotics. Mostly, simulation methods are specialized for one purpose and thus used as a stand-alone tool to analyze the behavior of single components or certain aspects of the whole system. But with size and complexity of the system, the susceptibility to errors rises when the interaction between components fails. If a component shows minimal deviations to its nominal behavior, huge interdependencies between components of complex systems might cause system failure. The structural behavior of a single component is therefore as crucial to the functionality of the whole system as the interplay of all components. Both aspects have to be analyzed in parallel, which is nowadays barely considered. Consequently, this work presents the integration of structural simulations into the overall picture. The developed approach consists of a concept, an implementation and the validation for an automated bidirectional interaction to integrate results from Finite Element Analysis (FEA) into an existing, real-time capable Overall System Simulation for mechatronic systems in general and robotics in particular.

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