HOW TO USE CROP GROWTH MODEL WOFOST FOR FORECASTING GROWTH AND YIELD OF A CROP

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
LAL SINGH ◽  
PARMEET SINGH ◽  
RAIHANA HABIB KANTH ◽  
PURUSHOTAM SINGH ◽  
SABIA AKHTER ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Input Data ◽  
Growth And Yield ◽  
Weather Data ◽  
Data Sets ◽  
Crop Growth Model ◽  
Control Center ◽  
Field Crops ◽  
Crop Calendar

WOFOST version 7.1.3 is a computer model that simulates the growth and production of annual field crops. All the run options are operational through a graphical user interface named WOFOST Control Center version 1.8 (WCC). WCC facilitates selecting the production level, and input data sets on crop, soil, weather, crop calendar, hydrological field conditions, soil fertility parameters and the output options. The files with crop, soil and weather data are explained, as well as the run files and the output files. A general overview is given of the development and the applications of the model. Its underlying concepts are discussed briefly.

scholarly journals Implementasi Graphical User Interface (GUI) MATLAB untuk analisis spektrum biosensor berbasis Surface Plasmon Resonance (SPR)

2018 ◽  
Vol 4 (2) ◽  
pp. 55
Author(s):  
Devi Taufiq Nurrohman ◽  
Riyadi Purwanto
Keyword(s):  
Surface Plasmon Resonance ◽  
User Interface ◽  
Surface Plasmon ◽  
Graphical User Interface ◽  
Plasmon Resonance ◽  
Input Data ◽  
Data Input

<p class="JIPIAbstractBody"><span lang="IN">Penelitian ini bertujuan untuk membuat aplikasi sederhana menggunakan GUI MATLAB untuk menganalisis spektrum biosensor berbasis Surface Plasmon Resonance (SPR). Metode yang dilakukan dalam pembuatan aplikasi dimulai dari tahap analisis, tahap desain interface, tahap coding dan tahap pengujian. Tombol Kurva simulasi pada menu editor berisi perintah untuk menampilkan spektrum SPR simulasi berdasarkan data indeks bias dan ketebalan yang dimasukkan dalam data input. Sedangkan Kurva Eksperimen berisi perintah untuk menampilkan titik – titik hasil eksperimen. Akhirnya sensitifitas dari biosensor berbasis SPR dapat ditentukan nilainya dengan mengganti nilai – nilai pada penel input data. Selain itu sistem SPR yang tidak diketahui nilai indeks bias dan ketebalannya dapat diprediksi nilainya dengan membandingkan kurva simulasi dan kurva eksperimen.</span></p>

Development of MATLAB Graphical User Interface for Teaching Statics

2005 ◽  
Author(s):  
Nidal Al-Masoud
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Teaching And Learning ◽  
Input Data ◽  
Three Dimensional ◽  
Additional Insight ◽  
Interactive Approach ◽  
Engineering Mechanics ◽  
User Friendly

In this paper a Graphical User Interface (GUI) platform to supplement teaching and learning in Engineering Mechanics — Statics course is developed. The package encompasses several interrelated modules of the concepts introduced in a typical Statics class. The GUI provides a user-friendly interactive approach to solving problems and displaying the results both numerically and graphically in two- and three-dimensional spaces. In addition to visualization, GUI approach allows users to modify input data and observe the effect on the solution, thus providing students with additional insight to predict the behavior of structures under different loading scenarios.

scholarly journals R-DECO: an open-source Matlab based graphical user interface for the detection and correction of R-peaks

2019 ◽  
Vol 5 ◽  
pp. e226 ◽  
Author(s):  
Jonathan Moeyersons ◽  
Matthew Amoni ◽  
Sabine Van Huffel ◽  
Rik Willems ◽  
Carolina Varon
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Input Data ◽  
Detection Algorithm ◽  
Ecg Signal ◽  
Previous Knowledge ◽  
Rr Intervals ◽  
Ecg Signals ◽  
Data Formats ◽  
Electrocardiogram Ecg

Many of the existing electrocardiogram (ECG) toolboxes focus on the derivation of heart rate variability features from RR-intervals. By doing so, they assume correct detection of the QRS-complexes. However, it is highly likely that not all detections are correct. Therefore, it is recommended to visualize the actual R-peak positions in the ECG signal and allow manual adaptations. In this paper we present R-DECO, an easy-to-use graphical user interface (GUI) for the detection and correction of R-peaks. Within R-DECO, the R-peaks are detected by using a detection algorithm which uses an envelope-based procedure. This procedure flattens the ECG and enhances the QRS-complexes. The algorithm obtained an overall sensitivity of 99.60% and positive predictive value of 99.69% on the MIT/BIH arrhythmia database. Additionally, R-DECO includes support for several input data formats for ECG signals, three basic filters, the possibility to load other R-peak locations and intuitive methods to correct ectopic, wrong, or missed heartbeats. All functionalities can be accessed via the GUI and the analysis results can be exported as Matlab or Excel files. The software is publicly available. Through its easy-to-use GUI, R-DECO allows both clinicians and researchers to use all functionalities, without previous knowledge.

scholarly journals Fitting & Extrapolation of Turbine Performance Maps of Automotive Turbochargers

2020 ◽  
Vol 328 ◽  
pp. 03010
Author(s):  
Adam Vondrák
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Analytical Methods ◽  
Input Data ◽  
Output Data ◽  
Turbine Performance ◽  
Data Resolution ◽  
Validity Criterion ◽  
Different Origin

The study presents a detailed analysis of a contemporary method for fitting and extrapolation of turbine performance maps of automotive turbochargers. The complete algorithm is implemented in a MATLABTM based application with graphical user interface, the ultimate goal of which is to facilitate turbocharger performance data postprocessing. Guidelines are given on how to generate extrapolated maps from a fitted model considering the output data resolution. As a key validity criterion, fit quality of a sample measured turbine map is assessed using statistical and analytical methods. The report is concluded by a discussion of possible ways to improve the robustness of the algorithm with respect to input data of different origin and quality.

scholarly journals Sequenceserver: A Modern Graphical User Interface for Custom BLAST Databases

2019 ◽  
Vol 36 (12) ◽  
pp. 2922-2924 ◽  
Author(s):  
Anurag Priyam ◽  
Ben J Woodcroft ◽  
Vivek Rai ◽  
Ismail Moghul ◽  
Alekhya Munagala ◽  
...  
Keyword(s):  
User Interface ◽  
Amino Acid ◽  
Graphical User Interface ◽  
Amino Acid Sequences ◽  
Biological Research ◽  
Data Sets ◽  
Potential Analysis ◽  
Biological Interpretation ◽  
User Centric ◽  
Analysis Errors

Abstract Comparing newly obtained and previously known nucleotide and amino-acid sequences underpins modern biological research. BLAST is a well-established tool for such comparisons but is challenging to use on new data sets. We combined a user-centric design philosophy with sustainable software development approaches to create Sequenceserver, a tool for running BLAST and visually inspecting BLAST results for biological interpretation. Sequenceserver uses simple algorithms to prevent potential analysis errors and provides flexible text-based and visual outputs to support researcher productivity. Our software can be rapidly installed for use by individuals or on shared servers.

scholarly journals DatView: a graphical user interface for visualizing and querying large data sets in serial femtosecond crystallography

2019 ◽  
Vol 52 (6) ◽  
pp. 1440-1448
Author(s):  
Natasha Stander ◽  
Petra Fromme ◽  
Nadia Zatsepin
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets ◽  
Mode Iii ◽  
Multiple Parameters ◽  
Serial Crystallography ◽  
Serial Femtosecond Crystallography ◽  
Tabulated Data

DatView is a new graphical user interface (GUI) for plotting parameters to explore correlations, identify outliers and export subsets of data. It was designed to simplify and expedite analysis of very large unmerged serial femtosecond crystallography (SFX) data sets composed of indexing results from hundreds of thousands of microcrystal diffraction patterns. However, DatView works with any tabulated data, offering its functionality to many applications outside serial crystallography. In DatView's user-friendly GUI, selections are drawn onto plots and synchronized across all other plots, so correlations between multiple parameters in large multi-parameter data sets can be rapidly identified. It also includes an item viewer for displaying images in the current selection alongside the associated metadata. For serial crystallography data processed by indexamajig from CrystFEL [White, Kirian, Martin, Aquila, Nass, Barty & Chapman (2012). J. Appl. Cryst. 45, 335–341], DatView generates a table of parameters and metadata from stream files and, optionally, the associated HDF5 files. By combining the functionality of several commonly needed tools for SFX in a single GUI that operates on tabulated data, the time needed to load and calculate statistics from large data sets is reduced. This paper describes how DatView facilitates (i) efficient feedback during data collection by examining trends in time, sample position or any parameter, (ii) determination of optimal indexing and integration parameters via the comparison mode, (iii) identification of systematic errors in unmerged SFX data sets, and (iv) sorting and highly flexible data filtering (plot selections, Boolean filters and more), including direct export of subset CrystFEL stream files for further processing.

XDSAPP: a graphical user interface for the convenient processing of diffraction data usingXDS

2012 ◽  
Vol 45 (3) ◽  
pp. 568-572 ◽  
Author(s):  
Michael Krug ◽  
Manfred S. Weiss ◽  
Udo Heinemann ◽  
Uwe Mueller
Keyword(s):  
User Interface ◽  
Data Collection ◽  
Data Processing ◽  
Graphical User Interface ◽  
Diffraction Data ◽  
Easy Access ◽  
Translational Symmetry ◽  
Data Sets ◽  
Data Set ◽  
Radiation Decay

XDSAPPis a Tcl/Tk-based graphical user interface for the easy and convenient processing of diffraction data sets usingXDS. It provides easy access to allXDSfunctionalities, automates the data processing and generates graphical plots of various data set statistics provided byXDS. By incorporating additional software, further information on certain features of the data set, such as radiation decay during data collection or the presence of pseudo-translational symmetry and/or twinning, can be obtained. Intensity files suitable forCCP4,CNSandSHELXare generated.

Groundwater-surface water exchange: A New Graphical User Interface for temperature time-series analysis

2021 ◽  
Author(s):  
Andrea Bertagnoli ◽  
Matthijs van Berkel ◽  
Uwe Schneidewind ◽  
Ricky van Kampen ◽  
Stefan Krause ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Hyporheic Zone ◽  
Low Cost ◽  
Extraction Process ◽  
Data Sets ◽  
Analysis Process ◽  
Improve Result ◽  
Signal Processing Methods ◽  
Dynamic Exchange

&lt;p&gt;Riverine systems have a dynamic exchange of water with the hyporheic zone and groundwater. Exchange fluxes can be challenging to estimate because they vary spatially and temporally and depend on many geological and hydrological properties. Temperature as a tracer has become a low-cost and robust method to monitor such fluxes both at local and reach (several channel widths) scales. Here, we present the capabilities and functionality of a new graphical user interface (GUI) developed in Python which is operating system independent. The GUI integrates standard and state-of-the-art signal processing methods with data visualization and analysis techniques. The signal analysis library allows the user to select the important frequencies to improve result confidence while the advanced LPMLEn and window function in FFT to reduce leakage in the extraction process of the amplitude and phase of the signals. The GUI streamlines the entire analysis process, from evaluating the raw temperature data to obtaining end-user specified parameters such as flux and streambed thermal properties. It allows for the analysis of single-probe and multi-probe data from short to long-term data sets.&lt;/p&gt;

An Automated Approach to Recording and Analyzing Design Activities Using a Graphical User Interface

2019 ◽  
Author(s):  
Fares M. Adly Taha ◽  
Ramez M. Adly Taha ◽  
Keegan West ◽  
Mohammad Fazelpour ◽  
Jeffrey W. Herrmann ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Human Error ◽  
Quantitative Methods ◽  
Study Data ◽  
Data Sets ◽  
Qualitative And Quantitative Methods ◽  
Automated Method ◽  
Final Design ◽  
Design Activities

Abstract Design researchers use protocol studies to understand the cognition of designers and how they think. Although different qualitative and quantitative methods have been employed, analyzing protocol data often requires manual coding, which is tedious, time-consuming, and susceptible to human error. To address these challenges, this paper presents an automated method to record and analyze the designer’s actions. To demonstrate the proposed method, we designed and conducted an experimental study that used a graphical user interface to record design actions while the designer solves a factory layout problem. Then, we used spectral clustering to analyze the data and identify the subproblems that the designer considered. The final design layouts were evaluated using two metrics: travel distance and adjacency score. Our automated method to record and analyze designers’ actions provides a framework to analyze protocol study data sets objectively and quickly.

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