Graphical User Interface Program Research Articles

A practical guide to DNA metabarcoding for entomological ecologists

1. DNA metabarcoding is a cost‐effective species identification approach with great potential to assist entomological ecologists. This review presents a practical guide to help entomological ecologists design their own DNA metabarcoding studies and ensure that sound ecological conclusions can be obtained.2. The review considers approaches to field sampling, laboratory work, and bioinformatic analyses, with the aim of providing the background knowledge needed to make decisions at each step of a DNA metabarcoding workflow.3. Although most conventional sampling methods can be adapted to DNA metabarcoding, this review highlights techniques that will ensure suitable DNA preservation during field sampling and laboratory storage. The review also calls for a greater understanding of the occurrence, transportation, and deposition of environmental DNA when applying DNA metabarcoding approaches for different ecosystems.4. Accurate species detection with DNA metabarcoding needs to consider biases introduced during DNA extraction and PCR amplification, cross‐contamination resulting from inappropriate amplicon library preparation, and downstream bioinformatic analyses. Quantifying species abundance with DNA metabarcoding is in its infancy, yet recent studies demonstrate promise for estimating relative species abundance from DNA sequencing reads.5. Given that bioinformatics is one of the biggest hurdles for researchers new to DNA metabarcoding, several useful graphical user interface programs are recommended for sequence data processing, and the application of emerging sequencing technologies is discussed.

Analysis of Photovoltaic String Failure and Health Monitoring with Module Fault Identification

In this paper, photovoltaic (PV) string failure analysis and health monitoring of PV modules based on a low-cost self-powered wireless sensor network (WSN) are presented. Simple and effective fault detection and diagnosis method based on the real-time operating voltage of PV modules is proposed. The proposed method is verified using the developed health monitoring system which is installed in a grid-connected PV system. Each of the PV modules is monitored via WSN to detect any individual faulty module. The analysis of PV string failure includes several electrical fault scenarios and their impact on the PV string characteristics. The results show that a degraded or faulty module exhibits low operating voltage as compared to the normal module. The developed health monitoring system also includes a graphical user interface (GUI) program which graphically displays the real-time operating voltage of each module with colors and thus helping users to identify the faulty modules easily. The faulty modules identification approach is further validated using the PV module electroluminescence (EL) imaging system.

The Role of Model-View Controller in Object Oriented Software Development

Object Oriented Software Development (OOSD) is a design technique that is used before the development and design of a software. This design method makes the system appears as a collection of objects to communicate with other objects by passing messages. The Model-View-Controller (MVC) has been inherited from Object-Oriented Programming (OOP) with the integration of Graphical User Interface (GUI) and interactive program execution. The MVC is very useful for developing Interactive and Dynamic Web Applications and iOS. With MVC, developers can trust on design patterns that are widely accepted as solutions for recurring problems. MVC can be used to develop flexible, reusable and modular Software. Applying the MVC design pattern in object-oriented Software development a flexible, reliable, modular and scalable website can be built. So, it’s necessary for every developer to have the knowledge of software development using MVC design pattern.

Electronic and GUI Developtmen of Roller Brake Tester

This paper discusses the development of electronic system and Graphical User Interface (GUI) for axle load and brake tester platform own by UPTD PKB DinasPerhubunganKabupaten Banjar Kalimantan Selatan which has not been operated for about 10 years due to failure on its electronic system. The new electronic system is developed consisting of HX711 load cell ampilfiers for A/D converter from axle and brake force load cells, ATMega328 microcontroller, relay driver and contactor. The GUI program is implemented using Delphi 7 for process monitoring, roller brake tester controller, printing the test results and saving the test results into the data base system. Based on the calibration tests, it was found that the results are very good with maximum percentage error of 2.22% for axle load meter, 1.47% for right brake force and 1.1% for left brake force.

Software Design Tool for Sizing PV Stand-Alone System and Hybrid PV-Diesel System with Iraq Climate

This paper displays the improvement of Graphical User Interface programming for sizing principle segment in Stand-Alone PV system and PV- Diesel hybrid power system based on Iraq conditions. The solar system software is a tool depends on the input data by the user to give correct results on the basis of what has been introduced. Therefore, this software tool Includes products (PV modules, charge controller, inverter, battery and diesel generator) which can be obtained from the market with their detail. This software presents a guideline for photovoltaic system integrator to match the load requirement to design the effective size of components and system configuration, in hybrid PV–Diesel system. The ratio of photovoltaic solar energy to diesel generators is introduced by considering the contribution of hybrid system energy.

Polygonal Tubular Linear Permanent Magnet Generator Analysis and Experimental Test

Free piston generators are of interest due to their efficiency,compact construction, homogeneous nature,and multiple options for combustion.Much of the research into this type of generator has been facilitated by highly-developed internal combustion engine technology.This study was concerned with the design and application of tubular generator.The design model was developed using the matrix laboratory graphical user interface (MATLAB GUI) programming tool, and the designed interface was of the dynamic type.The sizing of the generator was determined in accordance with the main parameters specified via the interface. In addition, as a benefit of using sizing data, the automatic geometry was formed and analyzed using ANSYS Maxwell software.The magnets and the dynamic part of the tubular-structured generator were shaped polygonally.Numerical analyses were made by adopting the finite element method in the software, and construction of the prototype model was based on the results from these findings.The generator was excited by use of the crank rod mechanism to imitate the conditions of a functioning free piston mechanism.Current and voltage values were obtained at mechanical frequencies of 10Hz and 20Hz, and this data was subsequently analyzed.Global code translation was given in attachment in order to allow communication between the ANSYS Maxwell and MATLAB GUI software.

A Security Model for Web-Based Fuzzy-Logic Direct Torque Control of Induction Motor Drive

A web-based fuzzy-logic direct torque control of induction motor (IM) simulation program in a distributed client/server architecture and its implementation steps are discussed in this paper. The client program is a web page developed in java software, which accesses remotely simulated IM dynamics program by executing it in the server through the internet. The proposed IM simulation program offers a convenient remotely accessible which can work on any computer platform and simulation environment, implemented in a distributed client/server architecture, for a standalone motor simulation programs. This architecture has two major parts: graphical user interface (GUI) program in the client side and simulation engine in the server side. In the client side, the GUI program is developed in java software typically run in any computer platforms in client, allowing us to access the simulation program in the server using any browser and to send the data’s to the server, and to retrieve/exhibit the outputs from the server using different sets of parameters and configurations.

BioDinamica: a toolkit for analyses of biodiversity and biogeography on the Dinamica-EGO modelling platform.

Biogeography and macroecology are at the heart of the debate on ecology and evolution. We have developed the BioDinamica package, a suite of user-friendly graphical programs for analysing spatial patterns of biogeography and macroecology. BioDinamica includes analyses of beta-diversity, species richness, endemicity, phylo-diversity, species distribution models, predictive models of biodiversity patterns, and several tools for spatial biodiversity analysis. BioDinamica consists of a sub-library of Dinamica-EGO operators developed by integrating EGO native functions with R scripts. The BioDinamica operators can be assembled to create complex analytical and simulation models through the EGO graphical programming interface. In addition, we make available “Wizard” tutorials for end users. BioDinamica can be downloaded free of charge from the Dinamica EGO submodel store. The tools made available in BioDinamica not only facilitate complex biodiversity analyses, they also help develop state-of-the-art spatial models for biogeography and macroecology studies.

Polyphony

This paper introduces a new Graphical User Interface (GUI) and Interaction framework based on the Entity-Component-System model (ECS). In this model, interactive elements (Entities) are characterized only by their data (Components). Behaviors are managed by continuously running processes (Systems) which select entities by the Components they possess. This model facilitates the handling of behaviors and promotes their reuse. It provides developers with a simple yet powerful composition pattern to build new interactive elements with Components. It materializes interaction devices as Entities and interaction techniques as a sequence of Systems operating on them. We present Polyphony, an experimental toolkit implementing this approach, and discuss our interpretation of the ECS model in the context of GUIs programming.

Avionics Graphics Hardware Performance Prediction with Machine Learning

Within the strongly regulated avionic engineering field, conventional graphical desktop hardware and software application programming interface (API) cannot be used because they do not conform to the avionic certification standards. We observe the need for better avionic graphical hardware, but system engineers lack system design tools related to graphical hardware. The endorsement of an optimal hardware architecture by estimating the performance of a graphical software, when a stable rendering engine does not yet exist, represents a major challenge. As proven by previous hardware emulation tools, there is also a potential for development cost reduction, by enabling developers to have a first estimation of the performance of its graphical engine early in the development cycle. In this paper, we propose to replace expensive development platforms by predictive software running on a desktop computer. More precisely, we present a system design tool that helps predict the rendering performance of graphical hardware based on the OpenGL Safety Critical API. First, we create nonparametric models of the underlying hardware, with machine learning, by analyzing the instantaneous frames per second (FPS) of the rendering of a synthetic 3D scene and by drawing multiple times with various characteristics that are typically found in synthetic vision applications. The number of characteristic combinations used during this supervised training phase is a subset of all possible combinations, but performance predictions can be arbitrarily extrapolated. To validate our models, we render an industrial scene with characteristic combinations not used during the training phase and we compare the predictions to those real values. We find a median prediction error of less than 4 FPS.

SVIM: A Program for Seismic Vulnerability Index Determination and HVSR Data Processing

The seismic vulnerability of an area is important to be determined in order to reduce the risk of earthquake disaster. Ones need to calculate the values of dominant frequency and amplification from the Horizontal to Vertical Spectral Ratio (HVSR). Currently existing software for HVSR data processing, Geopsy, does not include seismic vulnerability index calculation. Using Geopsy, ones also need additional software for mapping purposes. From that problem, we introduce a Graphical User Interface (GUI) program for seismic vulnerability index determination and Horizontal to Vertical Spectral Ratio (HVSR) data processing and plotting the results into a map of the study area. The program is called SVIM (Seismic Vulnerability Index of Microtremor). The program has been built using Matlab and successfully tested to 21 microtremor data points acquired in Lamteuba, Aceh Besar, Aceh, Indonesia. We compared our results with those resulted from the calculation by using Geopsy and validated using coefficient correlation. The validation shown that the correlation coefficient of seismic vulnerability index was 96,40%, the correlation coefficient of frequency was 84,19%, and the correlation coefficient of amplification was 95,80%. We conclude the SVIM program can be used for seismic vulnerability index determination and HVSR data processing. The mapping part will be included in the SVIM software so that the users can easily obtain the necessary map.

Latent Class Modeling of Children’s Preference Profiles on Tangible and Graphical Robot Programming

Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children’s preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces. Background: The relevant literature mainly consists of empirical research into the possible advantages and weaknesses of tangible user interfaces versus graphical user interfaces in the domain of programming for children. Research designs have considered aspects of usability, attractiveness and users’ collaboration. Existing findings are not clear. Methodological issues, e.g., limitations of simple statistics, may have limited the clarify and usefulness of findings to date. The present study explores children’s preferences profiles. Research Questions: Two research questions were posited: the first focused on the latent profiles of children’s preferences for the two programming interfaces (tangible or graphical), and the second focused on the association of these profiles with gender and age. Methodology: Children ( $\boldsymbol {N=148}$ ) aged from six to 13 years old participated in this paper. Eight variables related to the attractiveness, collaboration, and usability factors for the tangible and graphical programming interfaces were measured and analyzed by Latent Class Analysis, a model-based clustering method that can reveal distinct preference-profiles and associate them with individual differences. Findings: The patterns of responses are consistent across items for both interfaces. The graphical programming interface strongly trisects children’s preferences profiles; the three latent profiles encountered were associated with gender and age.

OpenMX Viewer: A web-based crystalline and molecular graphical user interface program

The OpenMX Viewer (Open source package for Material eXplorer Viewer) is a web-based graphical user interface (GUI) program for visualization and analysis of crystalline and molecular structures and 3D grid data in the Gaussian cube format such as electron density and molecular orbitals. The web-based GUI program enables us to quickly visualize crystalline and molecular structures by dragging and dropping XYZ, CIF, or OpenMX input/output files, and analyze static/dynamic structural properties conveniently in a web browser. Several basic functionalities such as analysis of Mulliken charges, molecular dynamics, geometry optimization and band structure are included. In addition, based on marching cubes, marching tetrahedra and surface nets algorithms with Affine transformation, 3D isosurface techniques are supported to visualize electron density and molecular/crystalline orbitals in the cube format with superposition of a crystalline or molecular structure. Furthermore, the Band Structure Viewer is implemented for showing a band structure in a web browser. By accessing the website of the OpenMX Viewer, the latest OpenMX Viewer is always available for users to visualize various structures and analyze their properties without installations, upgrades, updates, registration, sign-in and terminal commands.

Mag2Pol: a program for the analysis of spherical neutron polarimetry, flipping ratio and integrated intensity data

Mag2Pol is a graphical user interface program which is devoted to the treatment of data from polarized neutron diffractometers with spherical polarization analysis. Nuclear and magnetic structure models can be introduced using space-group symbols and individual symmetry operators, respectively, and viewed in an OpenGL widget. The program calculates nuclear/magnetic structure factors, flipping ratios and polarization matrices for magnetic Bragg reflections, taking into account structural twins and magnetic domains. Spherical neutron polarimetry data can be analyzed by refining a magnetic structure model including magnetic domain populations in a least-squares fit and can also be correlated with an integrated intensity data set in a joint refinement. Further features are the simultaneous refinement of nuclear and magnetic structures with integrated intensity data and the analysis of flipping ratios either with tabulated magnetic form factors or using a multipole expansion of the magnetization density.

Rapid Prototyping of Two-Dimensional Non-Cartesian K-Space Trajectories (ROCKET) Using Pulseq and Graphical Programming Interface.

Magnetic resonance imaging is a well-established method for diagnostics and/or prognostics of various pathological conditions. Cartesian k-space trajectory-based acquisition is the popular choice in clinical magnetic resonance imaging, owing to its simple acquisition, reconstruction schemes, and well-understood artifacts. However, non-Cartesian trajectories are relatively more time efficient, with involved methods for image reconstruction. In this review, we survey non-Cartesian trajectories from the standpoint of rapid prototyping and/or implementation. We provide examples of two-dimensional (2D) and 3D non-Cartesian k-space trajectories with analytical equations, merits, limitations, and applications. We also demonstrate implementation of three variants of the 2D radial and spiral trajectories (standard, golden angle, and tiny golden angle), using open-source software. For rapid prototyping, pulse sequences were designed with the help of Pulseq. In-vitro phantom and in-vivo brain data were acquired with three variants of radial and spiral trajectories. The obtained raw data were reconstructed using a graphical programming interface. The signal-to-noise ratios of each of these reconstructions were quantified and assessed.

Human Comfort Instrument Design Based on Embedded

The traditional human comfort meter has the following defects: the interface is not uniform; the operation is cumbersome and complicated; the interface is unfriendly, and the stability and adaptability are poor. This paper presents a design scheme for human comfort instrument based on embedded system, using S3C2440 embedded development board and the sensors to collect the real-time temperature, relative humidity and wind speed data and to process the collecting data; then obtaining the human body comfort value according to the basic algorithm of human body comfort instrument; giving the human comfort conclusion according to the diastolic index range of human comfort, and showing the temperature and humidity, wind speed, comfort value and conclusion through writing the Qt graphical user interface program. At the same time, the human comfort instrument has the data storage function. The human comfort instrument is high in integration, strong in real time, high in sensitivity, stable and reliable, and it meets the development goals of the intelligent meteorological service, and meets the demand of the meteorological service that is closer to life, and it has broad development prospect.

NAO robot for cooperative rehabilitation training.

IntroductionThe aim of this research is to develop a robot-assistive training approach for the disabled individuals with impaired upper limb functions. People with impaired upper limb function can regain their motor functionality undergoing intense rehabilitation exercises. With increasing number of disabled individuals, we face deficiency in the number of expert therapists. One promising remedy could be the use of robotic assistive devices.MethodTo instruct and demonstrate rehabilitation exercise, this research used NAO robot. A library of recommended rehabilitation exercises involving shoulder (i.e., abduction/adduction, vertical flexion/extension, and internal/external rotation), and elbow (i.e., flexion/extension) joint movements was formed in Choregraphe (graphical programming interface). For this purpose, a kinematic model of human upper-extremity was developed based on modified Denavit-Hartenberg notations.ResultIn experiments, NAO robot gave voice instruction and was maneuvered to cooperate and demonstrate the exercises from the library. NAO also plays some complex game with the subject that represents a multi-joint movement's exercise, which was also included in the library.ConclusionsExperimental results with healthy participants reveal that the NAO robot can successfully instruct and demonstrate upper-extremity rehabilitation exercises for single and multi-joint movements. It implies a technical development of cooperative rehabilitation system for which target group will be individuals with upper limb impairment.

Peculiarities of digital learning means usage in training future computer science teachers of «programming languages» course

The ar cle highlights the peculiari es of the use of digital learning means in the teaching of the discipline “Programming languages”. The authors analyzed the experience of using the command line en-vironment when teaching programming in a higher educa on ins tu on. The emphasis focuses on ana-lyzing the possibili es for students to use the command line of the opera ng system (OS) in the process of crea ng their curricula with a graphical interface and ordinary programs in the educa onal environment of a higher educa on ins tu on. It is noted that in the process of teaching programming with the help of the command line of an OS in front of the educators a complex task is being put. In the process of its solu on, students independently search for the necessary source data and form the basis for the crea on and se ng-up of the program, foresee the results of the program implementa on, choose the strategy of using the general didac c pro-gramming so ware with modern and neoteric informa on technologies, perform tasks and analyze the quality of its execu on, and accordance with expected results. It is stated that students perform their task while designing an applica on that is embedded in an HTML page using a special tag. The graphic primi ve program code is loaded and executed using digital learning tools. The authors described the stages of crea ng educa onal programs using resources and tools of the Java Development Kit (JDK) and OS, highlighted the peculiari es of the implementa on and expediency of using applets in programming graphics in the educa onal process using the original source code of the program with graphic primi ves as an example. Scien fic research contains recommenda ons for using the command line to develop simple educa-onal applica ons with a graphical interface. The ar cle outlines the advantages of digital learning tools in teaching programming, namely the command line of an OS and the usual didac c so ware.

APEXeditor: A Spreadsheet-Based Tool for Editing APEX Model Input and Output Files

The APEXeditor, an Excel-based tool has been developed using the Visual Basic for Applications (VBA) to provide a graphical user interface (GUI) to the Agricultural Policy Environmental eXtender (APEX) model. APEX, in its native form, requires users to edit text files for modifying input files; therefore a GUI interface can aid users in modification of these files and reduce errors. Microsoft Excel is a popular spreadsheet program that has the largest user base among scientists and researchers, thus providing a relatively common platform in which stages the tool. The APEXeditor requires minimal additional learning to operate the tool for those who already have basic level of knowledge in Excel. The user can load APEX input files into the spreadsheet tool and the GUI offers meta information and provides functions to edit, write, and run the APEX model. Ultimately, the APEXeditor substitutes existing GUI programs such as WinAPEX or ArcAPEX that require installation or additional licensing. A series of scripts were developed as a back-end engine that automates data formatting and editing of linked APEX input ASCII files including database libraries. The simple architecture of the tool helps users maintain the quality of the data and allows error-free editing of APEX model inputs to characterize the system under study. This tool is suitable for all kinds of applications and has been successfully used for the creation of APEX model runs in numerous studies.

Applications of FLIKA, a Python-based image processing and analysis platform, for studying local events of cellular calcium signaling

The patterning of cytosolic Ca2+ signals underlies their ubiquitous ability to specifically regulate numerous cellular processes. Advances in fluorescence microscopy have made it possible to image these signals with unprecedented temporal and spatial resolution. However, this is a double-edged sword, as the resulting enormous data sets necessitate development of software to automate image processing and analysis. Here, we describe Flika, an open source, graphical user interface program written in the Python environment that contains a suite of built-in image processing tools to enable intuitive visualization of image data and analysis. We illustrate the utility and power of Flika by three applications for studying cellular Ca2+ signaling: a script for measuring single-cell global Ca2+ signals; a plugin for the detection, localization and analysis of subcellular Ca2+ puffs; and a script that implements a novel approach for fluctuation analysis of transient, local Ca2+ fluorescence signals. This article is part of a Special Issue entitled: ECS Meeting edited by Claus Heizmann, Joachim Krebs and Jacques Haiech.