scholarly journals Prototype implementation of segment assembling software

2018 ◽  
Vol 15 (1) ◽  
pp. 71-83
Author(s):  
Djordje Pesic ◽  
Marko Misic ◽  
Jelica Protic ◽  
Vujosevic Janicic
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Algorithmic Complexity ◽  
Prototype Implementation ◽  
Data Dependencies ◽  
Program Segment ◽  
Simple Program ◽  
It Education ◽  
Programming Knowledge ◽  
Examination Process

IT education is very important and a lot of effort is put into the development of tools for helping students to acquire programming knowledge and for helping teachers in automating the examination process. This paper describes a prototype of the program segment assembling software used in the context of making tests in the field of algorithmic complexity. The proposed new program segment assembling model uses rules and templates. A template is a simple program segment. A rule defines combining method and data dependencies if they exist. One example of program segment assembling by the proposed system is given. Graphical user interface is also described.

Teaching Java™

2011 ◽  
pp. 185-201
Author(s):  
Henry H. Emurian
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Test Performance ◽  
Self Efficacy ◽  
Learning Processes ◽  
Instructional Materials ◽  
Classroom Observations ◽  
Simple Program ◽  
Hands On ◽  
Hands On Learning

Information systems students in a graduate section and an undergraduate section of an introductory Java graphical user interface course completed the following initial assignments to learn a simple program: (1) automated programmed instruction tutoring, (2) hands-on learning with a lecture, and (3) collaborative peer tutoring. Tests of knowledge transfer and software self-efficacy were administered before students began the first assignment and following completion of each one. The results showed progressive improvement in rule test performance and software self-efficacy across the several instructional events. Taken together, the results of these classroom observations extend the generality of previous work to an updated set of instructional materials and assignments, and that outcome shows the reliability of the learning processes with new groups of students. Students who are new to Java had the privilege of exposure to an initial repertoire of teaching tactics that are synergistic and cumulative.

Application of Neural Network in Predicting Forging Hardness

2020 ◽  
Vol 305 ◽  
pp. 169-177
Author(s):  
Yuan Ping Luh ◽  
Chang Hung Tu ◽  
Huang Li Wang ◽  
Chien Jung Chiu
Keyword(s):  
Neural Network ◽  
Heat Treatment ◽  
User Interface ◽  
Graphical User Interface ◽  
Cold Forging ◽  
High Quality ◽  
Simple Program ◽  
Experimental Parameters ◽  
Neck Diameter ◽  
The Relationship

This study used cold forging to produce car components with the desired hardness without using postprocessing methods such as heat treatment, surface blasting, and polishing. Material diameter, mold neck diameter, and hardness of the material after annealing were used as parameters, and nine sets of experimental parameters were obtained using the Taguchi method. Under the premise of high-quality forging, this study determined the optimal hardness and the relationship between formation parameters and forging hardness. By inputting the hardness data obtained from the Taguchi L9 orthogonal array into a Matlab-implemented neural network, this study determined a hardness formula. Finally, using the inbuilt graphical user interface software of Matlab, a simple program was written that can be used to predict hardness and that could extensively reduce the costs and time associated with forging development.

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.

Sign in / Sign up

Export Citation Format

Share Document