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This scheme uses fixed inclinometer as its main appliance and achieves wireless data transmission.
Plaxis2D calculates slope safety factor with phi/c reduction and illustrates the critical slip surface as well.
The data stream of the slope safety automatic monitoring system for Road No.1 in Congo is described in Fig. 2.
Fig. 2 Data stream of the automatic monitoring system Measurement data and equiqment status information will be transmitted along the path in Fig. 2 and finally shown in charts to data users.
So the installation of inclinometer tubes and initial data reading should be in strict accordance with the requirements.

(a)-Reduction of the initial concentration to 50% in one stage, (b) time needed for that condition (t1).
(c) Reduction of the initial concentration to 50% in two stages, (d) time needed for this condition (t1+t2).
On the other hand, curves with ratios 0.9 or higher (Fig. 5, corner b) are far from 80% of reduction.
Therefore, data in Table 2 and 3, show that it is possible to reuse solvent.
-High reduction of initial concentration in few stages and high uses of time. b.- Low reduction of concentration in few stages and low use of time.

Sieve analysis grain size distribution data are in Table 1; coarse aggregate physical properties are given in Table 2, and fine aggregate physical properties are given in Table 3.
The fatigue data, obtained by means of four-point bending tests carried out at 10 Hz and 20℃ under strain control mode, have been analyzed according to both the conventional stiffness reduction approach and the energy ratio method; the latter focused on the dissipated energy concept.
Although the experimental fatigue data have outlined an extremely positive effect of RAP on the fatigue performance of the hot mix asphalt tested, a broad generalization of the RAP influence to different asphalt concrete has to be very carefully taken in consideration.
The stiffness values after the number of cycles applied to obtain 50% stiffness reduction; in most of the briquettes, it can differ 2-3 times between identical samples.
The difference in the number of loadings required for 50% stiffness reduction is much higher.

A reduction of the weight of the construction itself but maintaining its loading capacity, given by the strength and safety of the construction, is of prime importance.
Reduction of plate thickness in relation to grade S355 by using high-strength steels Fig. 2.
More data about this are summarised in EN 1011.
One result of toughness data is shown in Fig. 13 by the example of the XAR 400 steel.
This is shown in Fig. 15, where the mean abrasion data determined for a skip made of the niobium micro-alloyed XAR 450 and XAR 500 steel grades after use in the Chino Mines in New Mexico are compared with corresponding calculated values.

In the work by [20], the advantages of employing this method (such as reduction of cost and time to conduct all the experiments, identification of unique experiments, identification of contribution from each factors and simplification of data interpretations) were pointed out.
The design specifications of CDU are shown in Table 1.The data for cut point and the percentage of yield for this case study are shown in Table 2.
Cut point data Product Cut points [°C] Yield by volume [%] Off Gas Naphtha Kerosene Diesel AGO Residue 10 11.31-180 180-240 240-340 340-370 370-642 0.0 23.0 9.3 19.2 4.5 44.0 Methodology The implementation of Taguchi methods in this case can be illustrated using Fig. 2.
Higher degree of slope indicates that the variable plays an important role in energy reduction.
Reduction and deviation of total energy per unit diesel production Case Energy per kilo barrel of diesel production per day (kW/kbpd) Reduction [%] Deviation [%] Base Case 342.28  -  - SQP Solver (7 variables) 250.23 26.89  - Taguchi Calculation 260.62 23.86 4.15 Optimal Configuration 262.48 23.31 4.89 SQP Solver (5 variables) 256.96 24.93 2.69 Remarkable agreements between Taguchi and SQP solver result with a small deviation (≈ 2% to 4%) verify the usefulness of Taguchi to reduce the number of optimization variables from seven to five variables.

Reduction of the area was φ=26.8%, and elongation of the specimen was δ=8.82%, respectively.
All the fatigue test data obtained in this work are plotted as an S-N diagram in Fig. 6.
Data points in the usual surface-initiated fracture mode are indicated by open marks, while the data points in the very high cycle regime are represented by solid marks of ̏ ●̋ as shown in Fig. 6.
Three data points plotted by open marks of ̏ ◇̋ are the data obtained for specimens measured the residual stress induced in the surface layer through the grinding process.
Thus, the regression of the S-N curve was performed for the entire data points of open marks including ̏ ○̋ and ̏◇̋.

Dozens of MIT-BIT test data show that the algorithm fully meets the testing requirements, achieve the desired goal and obtain good results.
We can get the filtered data by subtracting the interference signal with the original signal.
In each group of data sequences which meet F(i)>Th, its first point is the beginning of QRS complex wave, the last point is the end of QRS complex wave.
Experiment and Results The MIT-BIH standard arrhythmia database file is used as the experiment data, including 40 samples.
The sampling rate of data is 360Hz.

This paper presents a method of static gesture recognition based on RGB-D depth image technology for problems of static gesture recognition under complex background.First,Microsoft's Kincet camera is for data collection.The hand region is extracted from complex background via depth image.
In this paper, we use depth image information to complete the gesture recognition,which is easier to track the hand and body movements accurately and rapidly,because Kinect can provide depth data and color image data simultaneously.
In the 3D space, the depth value is’t actual distance, it’s a relative data.
K-means clustering is applied continuously,the points are clustered belonging to each hand: For each pixel should belong to a class can be expressed as: where, (4) For each class j, the centroid should be recalculated： (5) By this method,the data of pixel is divided into gesture and non-gesture in unit A.
A Robust Gesture Recognition based on Depth Data The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision.

The data gained from the cutting test are compared with the output of the tribological test rigs.
As a result of the reduction in the coefficient of friction, a significant reduction in the induced frictional heat was also observed.
A friction reduction in the contact zone can be found in boundary films formed by additives of the MWF.

Structured model to access effectiveness of training centres 2.1 Data collection After extracting parameters from the literature, the next step was the collection of data.
On the other hand, Bartlett’s test indicates the significance of data.
If the value of significance is less than 0.01, then the data is accurate for factor analysis.
This improvement suggests a better overall fit of the model to the data.
This improvement suggests that the revised model better represents the observed data.