Real-Time Spectral Plasma Analysis Software Tools

At the Swiss Light Source macromolecular crystallography (MX) beamlines the collection of serial synchrotron crystallography (SSX) diffraction data is facilitated by the recent DA+ data acquisition and analysis software developments. The SSX suite allows easy, efficient and high-throughput measurements on a large number of crystals. The fast continuous diffraction-based two-dimensional grid scan method allows initial location of microcrystals. The CY+ GUI utility enables efficient assessment of a grid scan's analysis output and subsequent collection of multiple wedges of data (so-called minisets) from automatically selected positions in a serial and automated way. The automated data processing (adp) routines adapted to the SSX data collection mode provide near real time analysis for data in both CBF and HDF5 formats. The automatic data merging (adm) is the latest extension of the DA+ data analysis software routines. It utilizes the sxdm (SSX data merging) package, which provides automatic online scaling and merging of minisets and allows identification of a minisets subset resulting in the best quality of the final merged data. The results of both adp and adm are sent to the MX MongoDB database and displayed in the web-based tracker, which provides the user with on-the-fly feedback about the experiment.

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Digital Devices and Digital Culture

Metamodernism and Changing Literacy - Advances in Library and Information Science ◽

10.4018/978-1-7998-3534-9.ch003 ◽

2020 ◽

pp. 51-76

Keyword(s):

Real Time ◽

Scientific Research ◽

Smart Phone ◽

Disruptive Innovation ◽

Software Tools ◽

Digital Culture ◽

Home Life ◽

Digital Devices ◽

Advantages And Disadvantages ◽

The World

Digital devices are now in our pockets and surround us in digital culture, connecting us across the world in real time. Technology continues to bring disruptive innovation to every part of life including education, work, home life, travel, hobbies, communication, news, entertainment, healthcare, and scientific research. The focus of this chapter is an overview of various hardware and software tools that are used for literacy (metaliteracy) with emphasis on choosing the best device for the purpose at hand. As devices are constantly upgraded and evolving, it becomes impossible to predict how long each device, whether smart phone, tablet, or computer, can serve us. More importantly, understanding the basic advantages and disadvantages of current digital devices will allow individuals to adapt and make the best future choices for metaliteracy in a metamodern world.

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Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps

Machine Learning and Knowledge Extraction ◽

10.3390/make1010027 ◽

2019 ◽

Vol 1 (1) ◽

pp. 450-465 ◽

Cited By ~ 8

Author(s):

Abhishek Sehgal ◽

Nasser Kehtarnavaz

Keyword(s):

Deep Learning ◽

Real Time ◽

Open Source Software ◽

Mobile Applications ◽

Network Models ◽

Software Tools ◽

Learning Tools ◽

Smartphone Apps ◽

Learning Models ◽

Neural Network Models

Deep learning solutions are being increasingly used in mobile applications. Although there are many open-source software tools for the development of deep learning solutions, there are no guidelines in one place in a unified manner for using these tools toward real-time deployment of these solutions on smartphones. From the variety of available deep learning tools, the most suited ones are used in this paper to enable real-time deployment of deep learning inference networks on smartphones. A uniform flow of implementation is devised for both Android and iOS smartphones. The advantage of using multi-threading to achieve or improve real-time throughputs is also showcased. A benchmarking framework consisting of accuracy, CPU/GPU consumption, and real-time throughput is considered for validation purposes. The developed deployment approach allows deep learning models to be turned into real-time smartphone apps with ease based on publicly available deep learning and smartphone software tools. This approach is applied to six popular or representative convolutional neural network models, and the validation results based on the benchmarking metrics are reported.

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Development of real-time plasma analysis and control algorithms for the TCV tokamak using Simulink

Fusion Engineering and Design ◽

10.1016/j.fusengdes.2013.11.010 ◽

2014 ◽

Vol 89 (3) ◽

pp. 165-176 ◽

Cited By ~ 20

Author(s):

F. Felici ◽

H.B. Le ◽

J.I. Paley ◽

B.P. Duval ◽

S. Coda ◽

...

Keyword(s):

Real Time ◽

Control Algorithms ◽

Plasma Analysis ◽

And Control

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Hidden Real-Time Patterns in Intra- and Inter-Individual Behavior: Description and Detection

European Journal of Psychological Assessment ◽

10.1027/1015-5759.12.2.112 ◽

1996 ◽

Vol 12 (2) ◽

pp. 112-123 ◽

Cited By ~ 93

Author(s):

Magnus S. Magnusson

Keyword(s):

Real Time ◽

Detection Method ◽

Human Interaction ◽

Time Behavior ◽

Analysis Software ◽

Face To Face ◽

Time Patterns ◽

Behavior Description ◽

Structural Hypothesis ◽

Hidden Regularities

It is widely believed that human interaction is much more regular than has yet been detected. What kinds of hidden regularities exist is, however, unsettled. In this paper a structural hypothesis is proposed where each continuous human interaction is seen as the performance of a set of a particular type of temporal patterns. Some of these repeated intra- and inter-individual real-time behavior patterns may be mutually exclusive in time while others may overlap in various ways. Perceptual limitations making such patterns hidden to the naked eye are illustrated. A computerized detection method and illustrative empirical findings from various types of face-to-face interactions in children and adults are presented. The specially developed pattern detection and analysis software, THEME, is also shortly described.

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Acoustic emission instrumentation method for slope monitoring

E3S Web of Conferences ◽

10.1051/e3sconf/20199218010 ◽

2019 ◽

Vol 92 ◽

pp. 18010

Author(s):

Bernardo Caicedo ◽

Fernando Patino-Ramirez

Keyword(s):

Acoustic Emission ◽

Real Time ◽

Slip Surface ◽

Field Testing ◽

Monitoring Device ◽

Analysis Software ◽

Laboratory Results ◽

Slope Monitoring ◽

Active Waveguide ◽

Slope Displacement

Applications using acoustic emission techniques have shown promising results for slope monitoring. This study proposes a modified active waveguide slope monitoring device with AE measurement at either end of the device which is capable of calculating deformation profiles in real time besides its common use as an alarm method. The coupled calibration methodology allows the location of the slip surface and quantification of slope displacement accounting for the efficiency of the sensors and for attenuation due to distance between an event and the sensors. An analysis software is presented too, in order to propose the algorithms necessary to quantify deformation profiles in real time. The present study proposed some guidelines to perform further field testing based on the procedures and analysis algorithms proposed that showed promising laboratory results.

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