A Model-Based Approach to Generate Dynamic Synthetic Test Data

2019 ◽  
Author(s):  
Chao Tan
Keyword(s):  
Test Data ◽  
Model Based ◽  
Synthetic Test

scholarly journals KOMPARASI MODEL PEMBELAJARAAN KOOPERATIF TIPE MAKE A MATCH DAN TIPE TEAM GAMES TOURNAMENT (TGT) PADA MATERI KONSEP MOL TERHADAP HASIL BELAJAR SISWA KELAS X SMA KARTIKA XIII-1 AMBON

2019 ◽  
Vol 9 (1) ◽  
pp. 31-37
Author(s):  
Marlifia Berhitu ◽  
Semuel Unwakoly ◽  
Y Manoppo
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Test Data ◽  
Hypothesis Test ◽  
Student Learning Outcomes ◽  
Learning Model ◽  
Team Games ◽  
Model Based ◽  
A Value ◽  
Comparison Research

The purpose of this research is to know thestudent learningoutcomes of grade X SMA KARTIKA XIII-1 AMBON as well as knowing there is a difference whether or not the results of student learning using cooperative type Team Games Tournament(TGT) with type Make a Match as the learning model.This research is the comparison research which the sample consists of two classes, the class was given further study of chemistry at the consept of moles materials, first classexperiment (X-1) using the cooperative type Team Games Tournament(TGT) and in secondclass experiment (X-2) using the cooperative type Make a Match as the learning model. Based on the results of the study gained note that both models of learning that can enhance the learning outcomes of students, it can be seen from the success of the qualifications obtained from both the class when there has same qualification of 75% of students are on completed qualifying, 25% of students are on failed qualifying, with average from X-1 class used Type TGT is 66.125 and X-2 class used Type Make a Match is 57.3125. Hypothesis test data derived from posttest both class indicates the value significance of 0.25 (> 0.05) this a value of H0received and value of H1 rejected so it can be concluded there is no difference in student learning outcomes are either the cooperative type Team Games Tournament (TGT)and type Make a Match as the learning model.

Cost and Effectiveness of Search-Based Techniques for Model-Based Testing: An Empirical Analysis

2017 ◽  
Vol 27 (04) ◽  
pp. 601-622 ◽  
Author(s):  
Aneesa Saeed ◽  
Siti Hafizah Ab Hamid ◽  
Asmiza Abdul Sani
Keyword(s):  
Test Data ◽  
Random Search ◽  
Test Cases ◽  
Optimal Test ◽  
Model Driven ◽  
Model Based ◽  
Model Based Testing ◽  
Generate Test Data ◽  
The Cost ◽  
Model Driven Approach

Model-based testing (MBT) seems to be gaining interest in industry and academia due to its provision of systematic, automated and comprehensive testing. The challenge in MBT is to generate optimal test data to execute test cases. Recently, researchers have successfully applied search-based techniques (SBTs) by automating the search for an optimal set of test data at reasonable cost compared to other more expensive techniques. In real complex systems, effectiveness and cost of SBTs for MBT in industrial context are little known. The objective of this study is to empirically evaluate the cost and the effectiveness of SBTs for MBT on industrial case studies. We applied a model-driven approach and SBTs to automatically generate executable feasible test cases. The results show that the model-driven approach generated high number of infeasible test cases with less time while genetic algorithm (GA) and simulating annealing (SA) outperformed significantly random search (RS) with high generation time. We concluded that local SBTs are more appropriate to generate test data when the type of the constraints is simple. Current work on analyzing the cost and effectiveness on SBTs for MBT indicates possible enhancement using the model-driven approach to detect the infeasible paths and SBTs to achieve optimal success rate.

A Model-Based Fault Detection Methodology for Vacuum Circuit Breaker

2013 ◽  
Vol 321-324 ◽  
pp. 739-742
Author(s):  
Yu Huang Zheng
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Dynamic Model ◽  
Test Data ◽  
High Speed ◽  
Circuit Breaker ◽  
Theoretical Data ◽  
Experimental Results ◽  
Model Based ◽  
Vacuum Circuit Breaker

Vacuum circuit breaker becomes more and more complicated, integrated, high-speed and intellectualized. To insure vacuum circuit breaker in its good conditions, the function of fault diagnosis gets more important than before in the process of repairing. This paper is addressed a model-based fault detection methodology for vacuum circuit breaker. At first, the dynamic model of vacuum circuit breaker is built. Secondly, DTW algorithm is introduced to compute the similarity value between the test data and the theoretical data. At last, the value comparison between the similarity and the threshold concludes whether a fault has occurred or the vacuum circuit breaker has potential hazardous effects. The experimental results show that this method is effective.

Resolving phase wrapping by using sliding transform for generation of dispersion curves

Geophysics ◽  
2017 ◽  
Vol 82 (3) ◽  
pp. V127-V136 ◽  
Author(s):  
Jyant Kumar ◽  
Tarun Naskar
Keyword(s):  
Spectral Analysis ◽  
Surface Wave ◽  
Surface Waves ◽  
Test Data ◽  
Signal To Noise Ratio ◽  
Phase Unwrapping ◽  
Signal To Noise ◽  
Manual Intervention ◽  
Multichannel Analysis ◽  
Synthetic Test

The complexity involved with the phase unwrapping procedure, while performing the existing spectral analysis of surface waves (SASW) on the basis of two sensors, makes it difficult to automate and requires frequent manual judgment. As a result, this approach generally becomes tedious and may yield erroneous results. The multichannel analysis of surface waves (MASW) technique can resolve the problem of phase wrapping. However, the MASW technique normally requires a large number of closely spaced sensors, typically 24–48 or even more. We have developed a new method that is fast, accurate, and generally resolves the unwrapping of phase with the use of just two sensors, provided the signal-to-noise ratio remains high. In this approach, the unwrapping of the phase can be performed without any manual intervention and an automation of the process becomes feasible. A few examples, involving synthetic test data and surface-wave tests, have been tested to determine the efficacy of our approach. Comparisons of the results have been made with the corresponding solutions using existing SASW and MASW techniques.

Constitutive Model of Supper-Alloy IN625 Based on Extrusion Test

2011 ◽  
Vol 314-316 ◽  
pp. 819-822 ◽  
Author(s):  
Zhong Tang Wang ◽  
Shi Hong Zhang ◽  
Ming Cheng ◽  
De Fu Li
Keyword(s):  
Constitutive Model ◽  
Strain Rate ◽  
Test Data ◽  
Arrhenius Equation ◽  
New Method ◽  
Extrusion Speed ◽  
Material Constitutive Model ◽  
Model Based ◽  
Calculation Results ◽  
Relative Errors

Abstract: It had been put forward that a new method to establish material constitutive model based on extrusion test, which was that the material constitutive model was determined with the Arrhenius equation according to the extrusion test data. The tube extruding test of supper-alloy Inconel625(IN625) had been done on 16300kN extrusion machine. According to the extrusion test data and the Arrhenius equation, it had been determined that the constitutive model of supper-alloy IN625 based on extrusion test, and the relative errors between calculation results of the model and experiment results are less than 7.8%. The suitable conditions of the constitutive model of supper-alloy IN625 are that the temperature being 1150°C～1200°C, and extrusion speed being 15～60mm/s, and strain-rate being 1.86～7.44.

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