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The integration of the instruction with Waterfall Model SDLC and learning process could enhance and collect learning data.
The fourth part is participation & data collection.
Participation and Data Collection.
Aiming at the students who have taken Software Engineering and applied gamification of learning systems, a questionnaire survey is used for collecting data.
Each categories descriptive statistical analysis data show bellows: (1) the gender distribution of the research samples.

The automatic procedure with the adaptive positioning (related with actual crack tip position) of the area from which displacement field data were taken into account during calculation was applied.
The Young’s modulus E=200 GPa and Poisson’s ratio v=0.291 of pure iron were selected as the input data for the calculation algorithm.
The increase of the sintering temperature caused reduction of YS to 185 or 165 MPa with the increase in total plastic strain to 52.0 or 26.8 % for D900 and D1000 respectively.
Due to large scattering of obtained data in the case of P900 and P1000 the results of two tests are reported.
The images for DIC measurement were registered automatically without holding the tests for the data acquisition.

It has four main components: interface pins, including the serial input/output WSI-WSO, parallel input/output WPI-WPO, control interfaces such as WIP, control orders generally offered by WSI and WSO transmission ,test data can be transmitted over the WPI-WPO, can also be transmitted through the WSI-WSO serial ; Shell instruction register WIR are used to control the test case work mode; WBY the bypass register are used to bypass other data registers, providing a fast data transmission channel; the testing boundary unit WBR are used to input stimulus and output response to achieve controllability and absorbability of IP core [1].
Designing algorithms can be divided into two main parts, the first part is the wrapper design algorithms, correspond to different TAM width designs test cases for each IP core in a different TAM bus width; the second part is the TAM bus assigned algorithm, according to the data obtained in the first part, bus are distributed and the IP core test orders is identified, the test design is completed.
Constant three is the data of a large number of experiments result, can be modified appropriately according to actual condition, in order to achieve a better distribution effect.
[4] Krishnendu C．Test Access Mechanism Optimization Test Scheduling and Tester Data Volume Reduction for System-on-Chip [J]．IEEE Transactions on Computers．2003, 52(12)：1619-1632

Furthermore, according to the data in [6, 7] obtained when studying granular media with various values of γ with γ >0.4…0.45, there is a self-similar range of demagnetizing factor N values; this range does not vary with γ.
Alongside with that, if the same array of data N (Fig. 1) is to be presented in semi-logarithmic coordinates the abscissa in which it is presented not by the relative size of the core L/dс, but by its radical, i.e.
√L/dc then in these coordinates N data are linearized (Fig. 2), which points at a corresponding exponential relation.
Herein given the data (shadowed) for a granular medium sample [4] , (2) Which is immediate from such analysis.
Multiple data on the demagnetizing factor of various (by values in relation to size and porosity) cores of granular medium magnetization effective channels point at a singular regularity of varying the core demagnetizing factor with the radical of its relative size.

The results show the range of data intrinsic for a spallation source operating in time-of-flight mode to generate a single data set, as illustrated in Figure 1 when obtained from NIMROD [4].
This data contains a wide range of correlations spaning from the local chain conformation to the spatial arrangement of chain segments [5][6].
Figure 1 shows data for a poly(ε-caprolactone) sample at 20°C in the semi-crystalline state and at 80°C in the melt state [4].
The data obtained from NIMROD allows the development of exhaustive and well constrained models of complex scattering systems, and cover the three critical length scales in the ordering process [8][9].
It is possible to verify that after the temperature reduction, its stabilisation occurs during a period of 2 s.

Also in this case the simple Equation 3 was used to model the experimental data.
As a result, all the experimental data, irrespective of the experimental technique, for this alloy collapse on a single curve when expressed in the form of Zener-Hollomon parameter: exp( / ) Z Q RT ε= & (4) (Figure 5).
The situation is more complex in the case of the alloy 2; in the creep regime, the activation energy was found to be reasonably constant and close to 180 kJ/mol; these experimental data are plotted in form of Zener-Hollomon parameter in Figure 5b, where, for the sake of comparison with Fig.5a, a value of Q=170 kJ/mol was used.
In the wide range of temperature investigated in torsion, the situation is different; in an intermediate strain-rate region, the superimposition of the data obtained at different temperature confirms that Q is close to 170 kJ/mol; by contrast, in the low-strain-rate regime, the Q value giving the overlapping of data for different testing temperatures is lower.
Zener-Hollomon parameter as a function of stress for both tensile creep and torsion data.

Fig. 2 (a) the CV curves and (b) Electrochemical impedance spectra (EIS) of β-Ni(OH)2, Ni4Zn-OH, Ni4Al-OH and Ni4AlZn-OH electrodes, and (c) Equivalent circuit for fitting EIS data Fig. 2a gives the cyclic voltammograms of four electrodes at the scanning rate of 0.1mV/s.
Similarly, one oxyhydroxide reduction peak at 214 mV was observed on the reverse sweep.
A mode of circuit is shown in Fig. 2c to fit these experimental data, and the fitted experimental parameters are shown in Table 1, in which Rs is the ohmic resistance of the alkali electrolyte; Rt is the charge transfer resistance of the electrodes; Qc is a double layer capacitance; Zw is the Generalized Finite Warburg impedance of the solid phase diffusion.
Table 1 Summary of the CV data and fitted EIS experimental parameters Electrode CV data EIS data Ea / mV Ec / mV ΔEa,c / mV Rs / Ω Rt / Ω Zw / Ω Qc / F β-Ni(OH)2 420 131 289 2.42 0.94 0.32 2.89 596 131 465 Ni4Zn-OH 424 189 235 0.117 0.01 0.16 1.83 631 189 442 Ni4Al-OH 644 214 430 2.26 0.01 0.14 0.168 Ni4AlZn-OH 636 214 422 1.77 0.37 0.18 1.06 Conclusion Positive material for Ni/MH battery of Ni(OH)2 doped with different metal ions were synthesized by co-precipitation followed by hydrothermal treatment and anion exchange methods.
The electrochemical performances including charge-discharge tests, CV and EIS data show that Ni(OH)2 co-doped with Al3+ and Zn2+ shows higher discharge capacity, lower double layer capacitance and charge transfer resistance.

Coupled with the universal application of the software to the analysis of domestic electric power company's grid computing, it has great advantage in the data generality.
Even if it is a simulation analysis of existing wind power generator model, it is still incompatible with the actually running data of the wind power generator and cannot obtain effective analysis results.
The results of the modeling and simulation analysis cannot match the actual running data of the wind power generator.
Therefore, from the perspective of academic research, it is urged to complete the open for the data of the wind power generator, realizing the prosperity of the academic research development.
And it will also lead to many serious problems, such as the model validity and the data correction.

The impedance analyser (Keysight E4990A) with DC bias unit is the basic measurement unit, the temperature is measured using a J-type thermocouple; the data is acquired using the data acquisition unit (Keysight 34972A).
The resistance, inductance, capacitance, reactance, impedance, quality factor and temperature values during the phase transformation were measured for frequency variation (100 K to 1 MHz) and presented in Fig. 3, and logged; the data is analysed and the equivalent circuit is resulted.
Impedance Analyzer Data Acquisition Unit Programmable Power Supply Bias spring SMA spring (a) Programmable Power Supply Impedance Analyzer Computer SMA Actuator Data Acquisition Unit (b) Fig. 1 Experimental setup for electrical characterization (a) photograph (b) block diagram 2.2 Electrical characteristics of the SMA spring When an electric current is passed through a conductor (conducting metal) some energy is lost in the form of heat.
During reverse transformation or in higher temperature (higher resistivity) the electrical resistance decreases rapidly, since resistivity is higher because of higher temperature, which results in reduction of length during phase transformation, thus SMA spring is actuated (with constant current) which results in contraction of the spring.
From the experimental data the resistivity is calculated as 8x10-8 µΩ-cm and based on material property the magnetic permeability was considered as 1.66.

Based on the TGA-DTA thermogram analysis results, it shows that the TGA thermogram provides information about the decrease in mass due to the increase in heat temperature that is seen in each mass change process, it can be seen from the DTA thermogram so that the resulting biodegradable plastic data has a 3-step decomposition process mechanism for samples Temperature: 70oC and Glycerol: 60% and sample temperature: 90oC and 80% glycerol but the sample temperature: 90oC and 100% glycerol occurs in only 2 process steps.
Seen in the sample Temperature: 70oC and glycerol: 60% in table 4.11 the total mass reduction is 7.512 mg, temperature: 90oC and 80% glycerol is 6.974 mg, and temperature: 90oC and 100% glycerol is 7.043 mg Shows the effect of increasing the drying temperature on the decreasing mass reduction value and the effect of adding glycerol plasticizer concentration on the increasing mass reduction value, it is clearly seen in the sample Temperature: 90oC and 80% glycerol) and temperature: 90oC and 100% glycerol (Temperature: 90oC and glycerol 100%) because the addition of glycerol has properties that are not easily degraded by heat with the same treatment.
Characterization of the thermal properties of biodegradable plastics shows that the higher the drying temperature, the smaller the mass reduction value.