MATLAB-based Graphical User Interface Research Articles

Polynomial neural networks with a weighted direct solution and their application in stock index prediction

A method for increasing the forecasting accuracy of stock indexes has long been a key problem in financial forecasting and management fields. To resolve this problem, we propose a stock index forecasting model based on generalised multivariate polynomial neural network (PNN). First, a single-hidden-layer generalised multivariate PNN is designed, and an optimal weight vector is proven to exist. Next, the importance value index is creatively designed, and partial derivative analysis is introduced to resolve the issue of neural networks lacking interpretative capabilities. Moreover, we describe the design of a direct solution of weight and confirm the weight vector produced through this solution is the best one. Finally, we build a stock index forecasting model based on generalised multivariate PNN and design a MATLAB-based graphical user interface (GUI). Through empirical analysis and comparison, the effectiveness and usefulness of the above model and its GUI in stock index forecasting is tested.

TrackArt: the user friendly interface for single molecule tracking data analysis and simulation applied to complex diffusion in mica supported lipid bilayers.

BackgroundSingle molecule tracking (SMT) analysis of fluorescently tagged lipid and protein probes is an attractive alternative to ensemble averaged methods such as fluorescence correlation spectroscopy (FCS) or fluorescence recovery after photobleaching (FRAP) for measuring diffusion in artificial and plasma membranes. The meaningful estimation of diffusion coefficients and their errors is however not straightforward, and is heavily dependent on sample type, acquisition method, and equipment used. Many approaches require advanced computing and programming skills for their implementation.FindingsHere we present TrackArt software, an accessible graphic interface for simulation and complex analysis of multiple particle paths. Imported trajectories can be filtered to eliminate spurious or corrupted tracks, and are then analyzed using several previously described methodologies, to yield single or multiple diffusion coefficients, their population fractions, and estimated errors. We use TrackArt to analyze the single-molecule diffusion behavior of a sphingolipid analog SM-Atto647N, in mica supported DOPC (1,2-dioleoyl-sn-glycero-3-phosphocholine) bilayers. Fitting with a two-component diffusion model confirms the existence of two separate populations of diffusing particles in these bilayers on mica. As a demonstration of the TrackArt workflow, we characterize and discuss the effective activation energies required to increase the diffusion rates of these populations, obtained from Arrhenius plots of temperature-dependent diffusion. Finally, TrackArt provides a simulation module, allowing the user to generate models with multiple particle trajectories, diffusing with different characteristics. Maps of domains, acting as impermeable or permeable obstacles for particles diffusing with given rate constants and diffusion coefficients, can be simulated or imported from an image. Importantly, this allows one to use simulated data with a known diffusion behavior as a comparison for results acquired using particular algorithms on actual, “natural” samples whose diffusion behavior is to be extracted. It can also serve as a tool for demonstrating diffusion principles.ConclusionsTrackArt is an open source, platform-independent, Matlab-based graphical user interface, and is easy to use even for those unfamiliar with the Matlab programming environment. TrackArt can be used for accurate simulation and analysis of complex diffusion data, such as diffusion in lipid bilayers, providing publication-quality formatted results.

A MATLAB-based graphical user interface program for computing functionals of the geopotential up to ultra-high degrees and orders: Efficient computation at irregular surfaces

Fast spherical harmonic synthesis (SHS) at multiple points based on the lumped coefficients approach is a very well-established technique. However, this method cannot be applied to SHS at irregular surfaces, as the points must be regularly spaced and refer to a regular surface such as the sphere or the ellipsoid of revolution. In this paper we present a MATLAB®-based graphical user interface software for ultra-high degree (e.g. tens of thousands or even higher) SHS on grids at irregular surfaces, like the Earth surface. This software employs the highly efficient lumped coefficient approach for SHS at regular surfaces and the Taylor series expansions to continue the functionals to the irregular surfaces, e.g. the Earth surface. The generalized idea of continuing functionals using the Taylor series was presented by Hirt (2012) (J. Geod. 86, 729–744). We took advantage of the software GrafLab (Bucha and Janák, 2013. Comput. Geosci. 56, 186–196), which employs the lumped coefficients approach, and developed a new software isGrafLab (Irregular Surface GRAvity Field LABoratory). Compared to the commonly used “two loops” approach, the factor of increased computational speed can reach a value of several hundreds. isGrafLab allows accurate evaluation of 38 functionals of the geopotential on grids at irregular surfaces. High orders of the Taylor series can be used for the continuation. The new software offers all the other options available in GrafLab, such as the employment of three different approaches to compute the fully normalized associated Legendre functions, the graphical user interface or the possibility to depict data on a map.

MATLAB-Based Graphical User Interface (GUI) for Data Mining as a Tool for Environment Management

MATLAB-Based Graphical User Interface (GUI) for Data Mining as a Tool for Environment Management

JADA: A graphical user interface for comprehensive internal dose assessment in nuclear medicine

The main objective of this work was to design a comprehensive dosimetry package that would keep all aspects of internal dose calculation within the framework of a single software environment and that would be applicable for a variety of dose calculation approaches. Our MATLAB-based graphical user interface (GUI) can be used for processing data obtained using pure planar, pure SPECT, or hybrid planar/SPECT imaging. Time-activity data for source regions are obtained using a set of tools that allow the user to reconstruct SPECT images, load images, coregister a series of planar images, and to perform two-dimensional and three-dimensional image segmentation. Curve fits are applied to the acquired time-activity data to construct time-activity curves, which are then integrated to obtain time-integrated activity coefficients. Subsequently, dose estimates are made using one of three methods. The organ level dose calculation subGUI calculates mean organ doses that are equivalent to dose assessment performed by OLINDA/EXM. Voxelized dose calculation options, which include the voxel S value approach and Monte Carlo simulation using the EGSnrc user code DOSXYZnrc, are available within the process 3D image data subGUI. The developed internal dosimetry software package provides an assortment of tools for every step in the dose calculation process, eliminating the need for manual data transfer between programs. This saves times and minimizes user errors, while offering a versatility that can be used to efficiently perform patient-specific internal dose calculations in a variety of clinical situations.

A MATLAB-based graphical user interface program for computing functionals of the geopotential up to ultra-high degrees and orders

We present a novel graphical user interface program GrafLab (GRAvity Field LABoratory) for spherical harmonic synthesis (SHS) created in MATLAB®. This program allows to comfortably compute 38 various functionals of the geopotential up to ultra-high degrees and orders of spherical harmonic expansion. For the most difficult part of the SHS, namely the evaluation of the fully normalized associated Legendre functions (fnALFs), we used three different approaches according to required maximum degree: (i) the standard forward column method (up to maximum degree 1800, in some cases up to degree 2190); (ii) the modified forward column method combined with Horner's scheme (up to maximum degree 2700); (iii) the extended-range arithmetic (up to an arbitrary maximum degree). For the maximum degree 2190, the SHS with fnALFs evaluated using the extended-range arithmetic approach takes only approximately 2–3 times longer than its standard arithmetic counterpart, i.e. the standard forward column method. In the GrafLab, the functionals of the geopotential can be evaluated on a regular grid or point-wise, while the input coordinates can either be read from a data file or entered manually. For the computation on a regular grid we decided to apply the lumped coefficients approach due to significant time-efficiency of this method. Furthermore, if a full variance-covariances matrix of spherical harmonic coefficients is available, it is possible to compute the commission errors of the functionals. When computing on a regular grid, the output functionals or their commission errors may be depicted on a map using automatically selected cartographic projection.

Indigenously developed multipurpose acrylic head phantom for verification of IMRT using film and gel dosimetry

The purpose of this study was to validate the newly designed acrylic phantom for routine dosimetric purpose in radiotherapy. The phantom can be used to evaluate and compare the calculated dose and measured dose using film and gel dosimetric methods. In this study, a doughnut‐shaped planning target volume (8.54 cm3) and inner organ at risk (0.353 cm3) were delineated for an IMRT test plan using the X‐ray CT image of the phantom. The phantom consists of acrylic slabs which are integrated to form a human head with a hole in the middle where several dosimetric inserts can be positioned for measurement. An inverse planning with nine coplanar intensity‐modulated fields was created using Pinnacle TPS. For the film analysis, EBT2 film, flatbed scanner, in‐house developed MATLAB codes and ImageJ software were used. The 3D dose distribution recorded in the MAGAT gel dosimeter was read using a 1.5 T MRI scanner. Scanning parameters were CPMG pulse sequence with 8 equidistant echoes, TR=5600, echo step=22 ms, pixel size=0.5 times 0.5, slice thickness=2 mm. Using a calibration relationship between absorbed dose and spin‐spin relaxation rate (R2), R2 images were converted to dose images. The dose comparison was accomplished using in‐house MATLAB‐based graphical user interface named “IMRT3DCMP”. For gel measurement dose grid from the TPS was extracted and compared with the measured dose grid of the gel. Gamma index analysis of film measurement for the tolerance criteria of 2%/2 mm, 1%/1 mm showed more than 90% voxels pass rate. Gamma index analysis of 3D gel measurement data showed more than 90% voxels pass rate for different tolerance criteria of 2%/2 mm and 1%/1 mm. Overall both 2D and 3D measurement were in close agreement with the Pinnacle TPS calculated dose. The phantom designed is cost‐effective and the results are promising, but further investigation is required to validate the phantom with other 3D conformal techniques for dosimetric purpose.PACS numbers: 87.53.Kn, 87.55.km, 87.56.N‐

Artificial immunity-based induction motor bearing fault diagnosis

In this study, the artificial immunity of the negative selection algorithm is used for bearing fault detection. It is implemented in MATLAB-based graphical user interface software. The developed software uses amplitudes of the vibration signal in the time and frequency domains. Outer, inner, and ball defects in the bearings of the induction motor are detected by anomaly monitoring. The time instants of the fault occurrence and fault level are determined according to the number of activated detectors. Anomaly detection in the frequency domain is implemented by monitoring the fault indicator bearing frequencies and harmonics, calculated using the bearing dimensions and number of rotor revolutions. Due to the constant fault location and closeness to the accelerometer, the outer race fault in the bearing is the easiest fault type to determine. However, the most difficult fault type to detect is the ball defect. By verification of the detection results, the motor load has very little effect on the fault.

QUEST Hierarchy for Hyperspectral Face Recognition

A qualia exploitation of sensor technology (QUEST) motivated architecture using algorithm fusion and adaptive feedback loops for face recognition for hyperspectral imagery (HSI) is presented. QUEST seeks to develop a general purpose computational intelligence system that captures the beneficial engineering aspects of qualia-based solutions. Qualia-based approaches are constructed from subjective representations and have the ability to detect, distinguish, and characterize entities in the environment Adaptive feedback loops are implemented that enhance performance by reducing candidate subjects in the gallery and by injecting additional probe images during the matching process. The architecture presented provides a framework for exploring more advanced integration strategies beyond those presented. Algorithmic results and performance improvements are presented as spatial, spectral, and temporal effects are utilized; additionally, a Matlab-based graphical user interface (GUI) is developed to aid processing, track performance, and to display results.

Archaeological trace extraction by a local directional active contour approach

Archaeological trace extraction in aerial or satellite data is a difficult issue for automatic algorithms due to the traces similarity to other image artifacts or to their poor boundary information, discontinuities and so on. We propose in this paper a modified region based active contour approach for archaeological trace identification that overcomes the limits of standard methods of region uniformity and different consistencies with respect to the background. The proposed approach introduces a directional energy model in the minimization of the conventional energy term used in the existing active contour approaches. The local trace direction is estimated automatically after an initial unconstrained evolution of the region. Then, an iterative block based directional procedure has been introduced to limit the application of the modified method to local and adjacent areas and to allow the processing of large images in which the traces may have complex intersections or follow a curved trajectory. Finally, in order to reduce the initialization dependance problem, we propose the use of one seed point for each trace as the initial curve. Tests on the extraction of archaeological traces such as centuriations and ancient roads, visible as crop marks, have demonstrated that the proposed method and the developed MATLAB-based Graphical User Interface (GUI) facilitate unskilled/semi-skilled users in their archaeologic traces mapping operations and improve their detection precisions.

Development of a simulation program for the forward osmosis and reverse osmosis process

Forward osmosis (FO) is an osmotic process that uses a semi-permeable membrane to effect separation of water from dissolved solutes by an osmotic pressure gradient. Unlike RO, FO does not require high pressure for separation, allowing low energy consumption to produce water. Therefore FO, a potential alternative to conventional membrane process, has been considered a novel technology for seawater desalination. There is no forward osmosis (FO) process simulation program yet, though. Therefore, the main objective of this paper is to develop such computer program based on the solution-diffusion model modified with the film theory for simulating and optimizing the FO, RO, and FO-RO hybrid process. The effect of concentration polarization on FO and RO process efficiency was also considered in the model. A MATLAB-based graphical user interface (GUI) program was used to develop the simulation program. Using the program, the effects of various factors, including the draw solution concentration, feed concentration...

Highly Automated Dipole EStimation (HADES)

Automatic estimation of current dipoles from biomagnetic data is still a problematic task. This is due not only to the ill-posedness of the inverse problem but also to two intrinsic difficulties introduced by the dipolar model: the unknown number of sources and the nonlinear relationship between the source locations and the data. Recently, we have developed a new Bayesian approach, particle filtering, based on dynamical tracking of the dipole constellation. Contrary to many dipole-based methods, particle filtering does not assume stationarity of the source configuration: the number of dipoles and their positions are estimated and updated dynamically during the course of the MEG sequence. We have now developed a Matlab-based graphical user interface, which allows nonexpert users to do automatic dipole estimation from MEG data with particle filtering. In the present paper, we describe the main features of the software and show the analysis of both a synthetic data set and an experimental dataset.

Development of an embedded system and MATLAB-based GUI for online acquisition and analysis of ECG signal

This paper illustrates a low-cost method for online acquisition of ECG signal for storage and processing using a MATLAB-based Graphical User Interface (GUI). The single lead ECG is sampled at a rate of 1 kHz and after digitization, fed to a microcontroller-based embedded system to convert the ECG data to a RS232 formatted serial bit-stream. This serial data stream is then transmitted to a desktop Personal Computer at a rate of 19.2 kbps and a state-of-the art developed software stores it automatically in a temporary data file. The original ECG data is reconstructed from the digital data set by a conversion formula. The MATLAB-based GUI is designed to perform online analysis on the ECG data to compute the different time-plane features and display the same on the GUI along with the ECG signal plot.

HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.

Near-infrared spectroscopy (NIRS) is a noninvasive neuroimaging tool for studying evoked hemodynamic changes within the brain. By this technique, changes in the optical absorption of light are recorded over time and are used to estimate the functionally evoked changes in cerebral oxyhemoglobin and deoxyhemoglobin concentrations that result from local cerebral vascular and oxygen metabolic effects during brain activity. Over the past three decades this technology has continued to grow, and today NIRS studies have found many niche applications in the fields of psychology, physiology, and cerebral pathology. The growing popularity of this technique is in part associated with a lower cost and increased portability of NIRS equipment when compared with other imaging modalities, such as functional magnetic resonance imaging and positron emission tomography. With this increasing number of applications, new techniques for the processing, analysis, and interpretation of NIRS data are continually being developed. We review some of the time-series and functional analysis techniques that are currently used in NIRS studies, we describe the practical implementation of various signal processing techniques for removing physiological, instrumental, and motion-artifact noise from optical data, and we discuss the unique aspects of NIRS analysis in comparison with other brain imaging modalities. These methods are described within the context of the MATLAB-based graphical user interface program, HomER, which we have developed and distributed to facilitate the processing of optical functional brain data.

The Faulty Optical Fiber Mechanism and Fault Localization Techniques in TDM-PON Network

In this paper, the mechanism of failure (breakdown) detection in an optical fiber line will be studied. The objectives of this paper are to understand in detail the mechanism of faulty fiber and previous recommended fault localization techniques for fiber-to-the-home (FTTH) access network. The detail failure analysis results, failure mechanism, and eliminating solution will be studied and presented. It was reported that any failure in FTTH is affected the triple-play services transmission. Conventionally, a fiber fault in FTTH can be located using optical time domain reflectometer (OTDR) upwardly from customer premises toward central office (CO). Technician is sent to the optical network terminal (ONT) or optical network unit (ONU) side to inject an OTDR pulse into the faulty fiber. This approach would require much time and effort. Moreover, OTDR can only display a measurement result of a line in a time. Therefore, it becomes a hindrance to detect failure of optical line with a large number of customer premises and large coverage area in the fiber plant by using an OTDR. Besides, it is difficult to detect a failure in optical line equipped with passive optical splitter by using a conventional OTDR in the CO downwardly from CO towards the customer premises, because the Rayleigh back-scattered (RBS) light from different branches overlap with each other in the OTDR trace and cannot be distinguished. To overcome these problems to achieve desired network survivability, we introduced a MATLAB-based graphical user interface (GUI) named Centralized Failure Detection System (CFDS), which is potentially used to increase efficiency and flexibility of FTTH, particularly in monitoring the optical signal flow and locating a fiber break downwardly from CO. To perform all the mentioned tasks, interfacing between the developed program with OTDR is required.

Quantitative assessment of breast density from digitized mammograms into Tabar's patterns

We describe a semi-automated technique for the quantitative assessment of breast density from digitized mammograms in comparison with patterns suggested by Tabar. It was developed using the MATLAB-based graphical user interface applications. It is based on an interactive thresholding method, after a short automated method that shows the fibroglandular tissue area, breast area and breast density each time new thresholds are placed on the image. The breast density is taken as a percentage of the fibroglandular tissue to the breast tissue areas. It was tested in four different ways, namely by examining: (i) correlation of the quantitative assessment results with subjective classification, (ii) classification performance using the quantitative assessment technique, (iii) interobserver agreement and (iv) intraobserver agreement. The results of the quantitative assessment correlated well (r2 = 0.92) with the subjective Tabar patterns classified by the radiologist (correctly classified 83% of digitized mammograms). The average kappa coefficient for the agreement between the readers was 0.63. This indicated moderate agreement between the three observers in classifying breast density using the quantitative assessment technique. The kappa coefficient of 0.75 for intraobserver agreement reflected good agreement between two sets of readings. The technique may be useful as a supplement to the radiologist's assessment in classifying mammograms into Tabar's pattern associated with breast cancer risk.

MATLAB-based GUIs for fuzzy logic controller design and applications to PMDC motor and AVR control

An attractive and instructive approach for teaching basis of fuzzy logic-based controller design steps and effects of properties of the controller to control system by using MATLAB environment is presented in this paper. All design stages are developed in MATLAB's graphical user interface (GUI). Source codes used for both controller and to define systems to be controlled are written in separated script files using MATLAB language. Maximum and minimum values of the parameters that belong to membership functions (MFs) and rule base table are determined by using step responses and error graphics of the systems. Two different examples are given to demonstrate the usefulness of the developed tool and to visualize effect of changes of fuzzy logic-based controller parameters. © 2005 Wiley Periodicals, Inc. Comput Appl Eng Educ 13: 10–25, 2005; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20026

A MATLAB graphical user interface program for tomographic viscometer data processing

A MATLAB-based graphical user interface (GUI) program has been developed and implemented for tomographic viscometer data processing. The tomographic viscometer is based on a velocity profile measurement using magnetic resonance imaging (MRI) or ultrasonic Doppler velocimetry (UDV). The main data processing includes the velocity image reconstruction, velocity profile generation, velocity profile curve fitting, rheograms construction and constitutive model fitting. This program enables users to process image data, to calculate rheological properties and to visualize results. The program code consists of a set of files, which can be modified to match other purposes as well. This program may also serve as a tool for real-time monitoring and process control.

MATLAB Tools for viewing GPS velocities and time series

Over the past decade, many Global Positioning System (GPS) networks have been installed to monitor tectonic motions around the world. Some of these networks contain hundreds of sites spread across active tectonic margins where the differences in velocities across the network can be 50–100 mm/year. For networks that have been running for a number of years, the uncertainty in the velocity estimates can be less than 1 mm/year. In some cases the vertical motions can also be significant and of importance. Often, the time series of the motions of the GPS sites show complex non-linear behavior, and in all cases the statistical model of the time series is more complex than simple white noise. In this article, we describe a set of Matlab tools developed for use with the GAMIT/GLOBK GPS data analysis system (King 2002; King and Herring 2002) that allow interactive viewing and manipulation of GPS velocities and time series with a Matlab-based graphical user interface (GUI). The formats of the data files used by the tools are specific to GAMIT/GLOBK, but they are simple ASCII files that can be generated from other file formats. The tools are referred to as GGMatlab.

Hydrodynamic modelling as a basis for explaining estuarine environmental dynamics: some computational and methodological issues

This paper outlines some computational and methodological issues arising from the application of a two-dimensional hydrodynamic model to the Blyth Estuary, Suffolk. The Blyth serves as a case study for a programme of research into the environmental dynamics of anthropogenically modified estuaries in south-east England. Central to this work is the implementation of hydrodynamic and sediment transport models to characterize the present process regime; support further studies of intertidal processes; and, ultimately, provide a basis for the investigation of joint management and environmental change scenarios. Two aspects of the hydrodynamic modelling are considered. First, the practicalities of modelling are explored, in terms of our ability to represent flow within a morphologically complex environment. Crucial issues include the quantity and quality of terrain data; the availability of software tools to permit their manipulation and interpolation on to computational meshes; and the ability of the model geometry to represent real world complexity. A feature of this study is the inclusion of a ‘pre-modelling’ simulation intended to approximate the behaviour and properties of the intertidal parts of the computational mesh. MeshTool, a MATLAB-based Graphical User Interface (GUI) tool, has been developed to provide visualization and simulation facilities that greatly reduce the need for debugging of the mesh via repeated execution of the fully hydrodynamic code. Second, the role of numerical modelling as a basis for geomorphological explanation is briefly explored. Physically based, high space–time resolution, models are of particular value where they facilitate a shift from ‘extensive’ to ‘intensive’ modes of research. Such a transition affords an increase in explanatory power: the emergent properties of physically based numerical simulations provide a more secure foundation for generalization, and the models themselves, through the ‘production of data’, provide a framework for informing further research designs. As this study demonstrates, however, higher resolution terrain data and improved model representation of important processes operating at a subelement scale are required before this potential can be fully realized. Copyright © 2000 John Wiley & Sons, Ltd.