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About 10,000 papers for “Graphical user interface”

Graphical user interface.

Tim Scherr (8986253), Johannes Seiffarth (14192823), Bastian Wollenhaupt (14192826) et al. · Figshare · 2022

Cited by 0Open access

Graphical user interface.

Johannes Niediek (3387152), Jan Boström (3387149), Christian E. Elger (356422) et al. · Figshare · 2016

<p><b>A</b> Screenshot of the graphical user interface (GUI) used for channel selection. Raw and filtered data traces of all channels in a recording session are displayed along with spike sorting results from every channel for which sorting has already been performed. <b>B</b> Screenshot of the GUI used for visualization and manual optimization of spike sorting results. The interface shows several informative statistics for one unit. The individual elements are explained in panels C through I. <b>C</b> Density plot of all spike waveforms within a cluster group. <b>D</b> Same as C, but using a logarithmic scale. <b>E</b> Overlay plot of all mean spike waveforms in a group of merged clusters. <b>F</b> Histogram of inter-spike intervals. <b>G</b> Cumulative spike counts over time (700 minutes in this example). Note that the unit in this example appears to become more active after the first 200 minutes of recording. Detailed inspection of the other cluster groups is necessary to decide whether this is really the case or merely an effect of over-clustering and false re-grouping. <b>H</b> Distribution of spike maxima. The three vertical pink lines indicate the minimum, median, and maximum of the detection thresholds over time. Note that in this example, spike maxima are clearly separated from the detection threshold. <b>I</b> Spike amplitude maxima over time. The pink line is the extraction threshold. Note that the extraction threshold is relatively stable, while the maxima show considerable drift.</p>

Cited by 0Open access

Graphical user interface.

Stefan A. Hoffmann (4278826), Christian Wohltat (4278832), Kristian M. Müller (4278829) et al. · Figshare · 2017

<p>(A) Settings tab for turbidostat operation. (B) Graphs tab for on-line display of estimated doubling rates with estimate standard deviation (upper panel) and measured and estimated optical densities (lower panel). The implemented time series analysis algorithm jointly estimates the actual, underlying optical densities and the doubling rates. Measured ODs are shown in cyan, parameter estimates are shown in blue and associated estimation errors as dashed, red lines. After algorithm initialization, initial convergence to a good estimate occurs within few minutes. Within the shown timeframe, five dilution events occurred. The triggered increases in OD estimate standard deviation and subsequent rapid estimate re-convergence can be seen.</p>

Cited by 0Open access

Graphical user interface tools

Cosmo, G · CERN Document Server (European Organization for Nuclear Research) · 1997

The use of GUI builder tools in developing modern software applications has nowadays become a requirement.In this paper, a summary of some evaluations tests performed on commercial GUI tools and C++ graphics class libraries is presented.The evaluations have been performed in order to choose a suitable GUI tool to be used for designing the GEANT4 [1] graphical user interface.

Cited by 0Open access

Dakota Graphical User Interface

Glickman, Matthew, Friedman-Hill, Ernest, Gibson, Marcus et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2018

The Dakota GUI is an interactive graphical analysis environment for creating, running, and interpreting Dakota optimization and uncertainty quantification studies. It includes problem (Dakota study) set-up, option specification, simulation interfacing, analysis execution, and results visualization. Through the use of wizards, templates, and views, Dakota GUI helps uses navigate Dakota’s complex capability landscape.

Cited by 0Open access

The Graphical User Interface

Adam B. Singer · Apress eBooks · 2021

In this chapter, we will explore the design of the graphical user interface (GUI) for pdCalc. Anytime one designs a GUI, a widget platform needs to be selected. As previously noted, I chose to use Qt for the creation of the GUI. That said, this is not a how-to chapter on using Qt to design an interface. Rather, I assume that the reader has a working knowledge of Qt, and the chapter itself focuses on design aspects of the GUI. In fact, as much as possible, I will defer the reader to the source code to see detailed aspects of the widget implementations. Any discussion of the Qt implementation is either merely incidental or worthy of particular emphasis. If you have no interest in GUI design, this chapter can be skipped entirely with virtually no loss in continuity.

Cited by 1

Graphical user interface design

Tomáš Dohnal · Digital Repository (National Repository of Grey Literature) · 2008

The aim of this thesis is to explain basic principles of graphical user interface design. In the first chapter is outlined the evolution of graphical user interface from his grounds to present days. Secondly is introduced the main principles of user interface design and shortly characterized his main elements. Finally is part of the design process depicted on examples from designing author's software application.

Cited by 0

Graphical user interface (GUI).

Laura Meskendahl (7961735), René Pascal Fontes (7961738), Jens-Peter Herrmann (6112814) et al. · Figshare · 2019

<p>GUI of the fish-tracker for the automated tracking of sprat in an intermittent-flow respirometer. During the processing it was possible to show the original images with the option to display the centre points of each fish and the tracking history of the last twelve images as lines (1). Information on the actual tracked image (2) was given below. Image processing options (3) and database options (4) had to be adjusted before the start of the program. The IR-LED was powered only during measuring phases (5).</p>

Cited by 0Open access

and Graphical User Interface

Rajashri P. Patil, Vijay D. Chaudhari, Dr. Kantilal et al. · 2016

Abstract — Seismology is the scientific study of earthquakes & the propagation of seismic waves through the earth. The large improvement has been seen in seismology from around hundreds of years. The seismic data plays an important role in the seismic data acquisition. The recorded seismic data is used by seismologists for analysis purpose. This analysis includes mapping of Earth’s interior, locating an earthquake properly, and measuring magnitude of an earthquake. The more efficient systems are used now a day to locate the earthquakes as large improvements has been done in this field. In older days analog systems are used for data acquisition. The analog systems record seismic signals in a permanent way. These systems are large in size, costly and are incompatible with computer. Due to these drawbacks these analog systems are replaced by digital systems so that data can be recorded digitally. In this paper, a recent development in seismic data acquisition has been focused. A cost-effective, small size seismic data acquisition system is implemented successfully based on ARM. The system consists of an Accelerometer sensor for sensing seismic signal along 3-axis corresponding to accelerations and can save the respective data in the memory which can be used for further analysis. The software routines written in MATLAB give graphical representation of seismic data along X, Y, and Z axis. An ARM processor compares the input signal with reference signal which is already set into the ARM processor. If the value of input signal exceeds reference signal then an alarm about possibility of an earthquake rang in PC.

Cited by 0

The graphical user interface

Bernard J. Jansen · ACM SIGCHI Bulletin · 1998

article Free Access Share on The graphical user interface Author: Bernard J. Jansen View Profile Authors Info & Claims ACM SIGCHI BulletinVolume 30Issue 2April 1998pp 22–26https://doi.org/10.1145/279044.279051Published:01 April 1998Publication History 49citation4,477DownloadsMetricsTotal Citations49Total Downloads4,477Last 12 Months2,179Last 6 weeks358 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Cited by 74Open access

The Graphical User Interface

L Swadner · The MIT Press eBooks · 2018

The systems are getting better, but they are not perfect yet. With physicians, health information managers, nurses, and software engineers working together to more accurately define what these systems can do, should do, and will do, better and even more elegant GUIs will be developed.

Cited by 5Open access

NestIQ’s graphical user interface.

Wayne D. Hawkins (9317001), Sarah E. DuRant (3291153) · Figshare · 2020

<p><b>A.</b> The Main tab allows for changing input/output settings and file names as well as a few important program parameters. <b>B.</b> The Advanced tab is where machine learning functionalities and core model parameters are housed.</p>

Cited by 0Open access

Experiment’s graphical user interface.

A. Michael West Jr. (14186059), Meghan E. Huber (4866586), Neville Hogan (249789) · Figshare · 2022

<p>A video showing an example of the graphical user interface used to allow subjects to initiate a trial, observe a simulation, and rate its stiffness.</p> <p>(MP4)</p>

Cited by 0Open access

Graphical User Interface (GUI).

Predrag M. Milanovic (9647724), Snezana B. Stankovic (9647727), Milada Novakovic (9647730) et al. · Figshare · 2020

<p>Screenshots of the Java GUI that represent functionality of “Kapilarko”.</p> <p>(ZIP)</p>

Cited by 0Open access