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The paper presents the experimental data on the cement effect typeon the effects of heat generation during the 3D-printable cement materials’setting and hardening.
The combination of a highly active aluminosilicate modifier with high-strength cement causes a technologically unacceptable reduction in the setting time and open time of mixtures.
The use of a highly active aluminosilicate modifier (metakaolin) in combination with this type of cement causes a significant increase in the mixture temperature and a technologically unacceptable reduction in setting time due to the active interaction of related phasesС3A and metakaolin.
The combination of a highly active aluminosilicate modifier (metakaolin) with high-strength Portland cement CEM I 52.5 R causes a technologically unacceptable reduction in setting time and, as a consequence, in open-time mixtures.

Frost Resistance: Field Data, Correlation with Characteristics, Modeling The results of the samples mass loss study before and after 350 cycles of frost influence showed an increase of «M» on average by 0.29% of the mass of samples saturated with salt solution before the beginning of the research.
In addition, data on water absorption kinetics and capillary suction (WM and Wca [20]) obtained in previous studies, according to DSTU B V.2.7-170:2008 and EN 1015-18:2002, are coordinated with water absorption data WM.F received during the frost resistance test.
In view of the fact that there is sufficient interdependence between the experimental KF data and compressive strength of the main sample cubes frost resistance tested (fcm.F), further analysis of the correlation existence was carried out between fcm.F and «significant» characteristics of concrete (refer with: Fig. 1).
To assess the degree of impact of prescription factors on the preservation of fcm.F, according to the experimental data obtained, a quadratic experimental-statistical model (ES-model) has been built [23], which is adequate to the experiment with an error of sе{fcm.F} = 1.96 MPa with 17 statistically significant coefficients at bilateral risk 0.2 (refer with: Eq. 1).
The results of the study on fcm.F is generally consistent with capillary porosity data Wca [20].

Grey prediction uses the method of data generation to find the rules hidden in disorder data which needs little original data.
While m=k, is the simulation reduction value (grey filtering value) at the k moment.
Take this data as the original data of GM(1,1), X(0), get the linear accumulated generated sequence X(1)after the linear accumulation of X(0),then calculate the mean generation of consecutive-neighbors sequence Z(1) of X(0).
The parameters of the prediction system are time-varying in operation, the system is changed after absorbing the newest data and abandoning the oldest data, and a series of new predictive values is obtained.
The influence on the system is further related to the flash data, so the system is highly adaptable.

Artificial Neural Network In this study, one week data measurement of total 168 data are trained into the model as references so as to observe the behavior of Malaysia power system network.
The input data consist of load active and reactive powers (PL, QL) and together with PV generator active power (PPV) are utilized.
The previous data obtained from power utility is trained then becoming target values for the ANN model to match and equate.
As a matter for verification a set of input data are randomly picked through a week for 24 hour of the day.
From the previous supervised learning algorithm in ANN, the tested data are observed thoroughly and identically.

The parameters for load forecasting are as customer classes, weather data, economic, humidity, time, illumination, and end use factors.
At first, FBs model being raised under IEC1131-3 and extends under IEC61499 evolving the Executed Control Chart (ECC) defines event driven state machine, event input and output variables, Data input output variables.
Algorithm is started by Executing code which is initiated with arrival of events and Performed by current data coinciding in the time of events fallen.
System comprises from three distributed weather stations install on three strategic points for handling the inputs data for predicting load demand.
Communications between three devices and control center has been provided via publish and subscribe FBs through the exclusive IP address defining the specified ports for reading and writing the data from predetermined addresses.

The calculation results indicate that La substitution of the Al sites induces effective reduction of the band gap of AlN, and the band gap being continuously reduced when increasing La doping level.
Table1 Calculated lattice parameters of the optimized supercells Material a[Å] c[Å] c/a V[Å3] Exp Cal Exp Cal Exp Cal Cal AlN 3.112 3.131 4.981 5.017 1.601 1.602 340.70 Al0.9375La0.0625N / 3.182 / 5.127 / 1.611 359.61 Al0.875La0.125N / 3.228 / 5.269 / 1.633 380.74 Al0.8125La0.1875N / 3.312 / 5.319 / 1.606 402.50 According to the data summarized in Table 1, as the concentration of La increasing, the lattice parameters of La-doped AlN a, c, V increase too.
The calculation results indicate that La substitution of the Al sites induces effective reduction of the band gap of AlN, and the band gap being continuously reduced when increasing La doping level.

This data from temporary seismic station network deployed around Tarutung and Sarulla.
According to the Indonesian government data at least 50 people were injured [4].
The data spans 5,5 km vertically, and it expands up to 14 km after relocation.
The original data are more spread vertically than the relocated data which closer each event.
Seismicity relocation result with velocity model 2 in research area (a), cross-section A-A’ (b) and cross-section B-B’ (c) The second relocation result using AK135 with 10% reduction shows differences compared to observation data.

The reason why noise generate how to deal with the noise signal , how to collect and test noise and noise reduction processing has become an important content which the current scholars has focused on.
Hardware part is 3560 B/C/D/E (IDAe series) and 3050, 3660 C/D (LANXI series) data acquisition front end.
Measurement process: 20% load acquisition a vibration data, and collecting a noise data; 50% load acquisition a vibration data, and acquisition a noise data; 100% load acquisition a vibration data, and acquisition a noise data.
This provides data and theoretical support for high MW level development of the gear box and the noise reduction of the company in the future.

The above results have been compared with published data about the effects of milling on a ceramic powder.
Line broadening is mostly produced by a reduction in size of the coherently diffracting domains (crystallite size) and by distortions (microstrains), chiefly due to the presence of dislocations.
Regarding this point, the results of the work are examined against the data reported in the literature [8] for ground YBa2Cu3O7 powder.
The data were corrected for instrumental broadening [10] using a well-annealed Ni powder as diffraction standard.
The reduction in particle size brought about an increase in specific surface area (Fig. 5), as demonstrated by the BET measurements.

The EBSP orientation data were collected at the quarter position on the longitudinal plane.
The starting material was obtained after cold rolling to 60% thickness reduction and then annealing at 700°C for 30 minutes to develop a fully recrystallized grain structure.
From the EBSP data, the fraction of twin boundaries (misorientation of 60°) was about 45 percent.
Fig. 3 grain-boundary misorientation distribution constructed from EBSP data of the starting material after cold-rolling and annealing.
Figure 4 shows boundary misorientation maps obtained from EBSP data on the 36%Ni steel ARB-processed from one cycle (ε＝0.8) to six cycles (ε＝4.8).