scholarly journals Analysing georeferenced population genetics data with Geneland: a new algorithm to deal with null alleles and a friendly graphical user interface

2008 ◽  
Vol 24 (11) ◽  
pp. 1406-1407 ◽  
Author(s):  
Gilles Guillot ◽  
Filipe Santos ◽  
Arnaud Estoup
Keyword(s):  
Population Genetics ◽  
User Interface ◽  
Graphical User Interface ◽  
Null Alleles ◽  
Friendly Graphical User Interface

Shoreline Bioremediation Model (SBM) - A Graphical User Interface for Simulating the Biodegradation of Beached Oil

2014 ◽  
Vol 2014 (1) ◽  
pp. 1099-1112
Author(s):  
Jagadish Torlapati ◽  
Xiaolong Geng ◽  
Tom King ◽  
Michel Boufadel ◽  
Kenneth Lee
Keyword(s):  
Decision Making ◽  
User Interface ◽  
Numerical Model ◽  
Graphical User Interface ◽  
Biodegradation Rate ◽  
Worst Case ◽  
Oil Concentration ◽  
Oil Components ◽  
User Friendly ◽  
Friendly Graphical User Interface

ABSTRACT We developed a user-friendly numerical model, Shoreline Bioremediation Model (SBM), to simulate the biodegradation and bioremediation of oil entrapped within shorelines. The model takes oil properties and environmental conditions as input and produces variation of oil concentration with time, up to several years from the time of the spill. SBM is equipped with a user-friendly graphical user interface (GUI). The accessibility and easy-to-use interface allow the user to quickly produce several biodegradation and bioremediation scenarios before they are implemented at the contaminated shoreline. The model has been calibrated to predict the biodegradation rate of saturates and aromatics, but it can be also used to predict the biodegradation rates of individual oil components and to decide on bioremediation studies in shorelines based on the enhancement due to biostimulation (addition of nutrients) or bioaugmentation (addition of hydrocarbon degrading organisms). The GUI provides the oil concentration with time along with best case and worst case scenarios, which is commonly needed for decision making.

LEARNING ROBOTICS THROUGH A FRIENDLY GRAPHICAL USER INTERFACE

2016 ◽  
Author(s):  
Clara Gomez ◽  
Alejandra Carolina Hernandez ◽  
Jonathan Crespo ◽  
Ramón Barber
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Friendly Graphical User Interface

scholarly journals EP14.01: Gestational age estimator based on MRI data: a user-friendly graphical user interface

2017 ◽  
Vol 50 ◽  
pp. 314-315
Author(s):  
S. Sefidbakht ◽  
B. Zeinali-Rafsanjani ◽  
M. Saeeidi-Moghadam ◽  
R. Jalli ◽  
F. Zarei
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Gestational Age ◽  
User Friendly ◽  
Friendly Graphical User Interface

Embedded Linux Based Shopping Assistance System

2013 ◽  
Vol 2 (3) ◽  
pp. 122
Author(s):  
Ayanabha Chakraborty ◽  
Prashant Konaje ◽  
Prabha Kasliwal
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Touch Screen ◽  
Assistance System ◽  
Absolute Identification ◽  
Shopping Experience ◽  
User Friendly ◽  
Interactive Graphical User Interface ◽  
Friendly Graphical User Interface ◽  
Centralized Database

In a view to streamline shopping system and facilitate access to required commodities among innumerable varieties in a super market, personalized service can be exploited in automated manner through interactive graphical user interface. Implementation of location based several touch screen modules with a centralized database can provide easy, accurate and timely information in regards to query generated by the users. Availability of an item and its location with absolute identification are displayed on the screen to facilitate users to get access to it immediately. This not only saves valuable time and cumbersome manual procedure in finding desired products but also provides an easy-to-use interactive shopping experience without any effort. Personalized Shopping Assistance maintains a centralized database for all products in the super market with user-friendly graphical user interface touch screen modules at various locations.

Bioinformatics Study with an Implementation of Two Feature Extraction Algorithms for Protein Sequences

2014 ◽  
Vol 886 ◽  
pp. 576-579 ◽  
Author(s):  
Shan Ping Qiao
Keyword(s):  
Feature Extraction ◽  
User Interface ◽  
Graphical User Interface ◽  
Feature Vector ◽  
Protein Sequences ◽  
Computational Approaches ◽  
Pattern Frequency ◽  
Transition Distribution ◽  
Bioinformatics Study ◽  
Friendly Graphical User Interface

Predicting subcellular localizations of proteins is related to multi-label learning. A serial of computational approaches have been developed. This study focuses on the extracting protein features. The feature vector influences the performance of a predicting algorithm significantly. In this paper, two feature extraction algorithms named composition-transition-distribution and class pattern frequency were introduced and implemented in Java, respectively. This program provided a friendly graphical user interface where users can get these two kinds of features easily and quickly. Moreover, the results can be saved into a specified file for later use. Finally, this program can be compressed into a single jar file and runs on a computer which installed the proper JRE. We hope that this program would give researchers some help in the future.

Sign in / Sign up

Export Citation Format

Share Document