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These results are necessary for comparison of conditions of zonal desintegration manifestation with geodynamic data that were obtained in mines of Ukraine.
Further growth of pressure is followed by reduction of rocks volume.
Theories about Physical Processes around Mine Workings From 1925 to 1938, data about rock pressure manifestations during underground mining had been accumulated.
Kommerell Austria 1912 Parameters of the stable equilibrium dome Calculation is executed according to the natural data 2.
Savost'yanov Ukraine 1974 Theory of destruction of the layered massif and formation of abutment pressure zones Empirical dependences according to natural data of research III.

The data obtained by evaluating the real performance function allow usually constructing and refining the surrogate model.
Kriging Approximation The construction of a Kriging approximation model is based on data acquired from a computer experiment.
The likelihood of the data is maximized with respect to the parameters (β, θ, σz2).
These points are considered as pilot data and no simulation has been carried out.
The statistical properties and the structural data are given in Tables 3 and 4, respectively.

However, in the application layer it has only three hosts connecting to transmit data at this time.
As time increases, more and more hosts add to transmit data with the sharing files increasing.
In the last phase as the result of the data transmission reduction, the throughput would be reduced.
In addition the similarity of two graphs is: the real data curve above on the restoration curve, indicating restoration algorithm can not restore the real data completely and need further improvement.
IEEE/ACM Transactions (2007) [5] Cao, J., Davis, D., Wiel, S V., et al.: Time-varying network tomography: router link data .J.

The QoS support such as meeting the data rate and packet delivery time is a requirement in the electric power wireless private network.
Therefore, it is important to find efficient ways of supporting QoS for real-time data in the electric power wireless private network, and efficient data scheduling is one of the ways to address the issue described above.
It’s more fair with the reduction of .
The scheduler will repeat the above process until all resources are allocated or no data in the queue need to be sent.
The above expression can be simplified as: (3) Where, is the user be selected by carrier at time , is the real-time data transmission rate of user on the sub-carrier at time , is the average data transmission rate of user before .

Then the construction organization will input data again through construction cost software and project schedule management software according to the construction drawing, and conduct construction costs and project schedule management.
Firstly, by integrating building data with BIM, organization can reduce vacancy and ultimately achieve major reductions in real estate expenses.
At present, they often use 2D drawings and static data to serve the customers.
After the application of BIM technique and its models, customers can dynamically know the condition of its property from every aspect by using the means such as 3D interaction and linked data etc.
The application integrated the FM: System operation management platform of the BIM data, and continuously added data which include building space and energy consumption data, equipment and assets life management and maintenance process etc. to BIM models in the way of operation management at the operation stage, and made BIM data base be continued in building's whole life cycle and get higher additional value [4].

Introduction Mobile multimedia communication typically involves the transfer of large amounts of data.
BF527 is mostly used as a controller core rather than for data processing.
The DMA controller allows moving data between memory and peripherals. 3.
Since the ADSP-BF527 only has 16 bits data bus, it is inefficient as increasing the numbers of BG.
Also frequently accessed data have been moved internal memory. 3.

Sensor network is mainly responsible for environmental data collection.
TCCP 1) Classification of TCCP There are three types of TCCP: TCCP for data storage, TCCP for data processing and comprehensive TCCP for data storage and processing. 2) Prominent features of TCCP services (1) Universal availability: TCCP services are available to users at any time anywhere with a basic compute device and effective internet accessibility
IOT architectural model The IOT architectural model involves three layers: sensor layer for data sensing in the bottom, network transport layer for data transmission in the middle and application layer combined with industrial need at the top[7].
Sensor layer Sensor layer is mainly for object identification and data collection.
Physiological data important to new drug development can be collected for a long time through the sensor network.

Based on the data performance analysis of the different schemes, aiming at weight reduction, cost deduction, and performance improvement, measuring weight coefficient of every object according to the importance for the lightweight scheme selection, the multi-objective optimization of the lightweight scheme selection was constructed [1].
Sometimes necessarily, the reverse engineering method will be used for the 3D data acquisition for simplying the parts data building. 3) Complex Structure; There are more link points in the structure between the parts.
By the Multi-Objective Oriented, we will proceed the function quantitative optimization design, interaction design, form feature design, CAD data building assembly and CAE.
It is presented by the CAD software. 4) Detail and Part Standard According to the objective of Reliability and the Maintainability, we built the structure data and exterior data by the CAD method.
In the assembly data, we evaluated the structure and the interference of the whole product.

The life was calculated at three accelerated aging temperatures i.e. 130,140 and 150 °C and then this data was extrapolated to lower temperatures.
Service life is predicted by extrapolation of the given data points.
The life of ESB was estimated by the 50% reduction in elongation at break (EAB) criterion.
After thermal aging a clear reduction in tensile strength was observed [42–44].
Data collected by extrapolation of regression line Sr. # Temperature [°C] Reciprocal of temperature 1/T[K-1] Logarithm of time to reach 50% EAB ln (t) time to reach 50% EAB t[days] 1 120 0.00254 3.225 25.156 2 110 0.00261 4.402 81.597 3 100 0.00268 5.642 281.902 Conclusions In this study service life of a cable insulation material was successfully estimated by the use of Arrhenius model with accelerated thermal aging.

Corrosive pipes will experience reduction in wall thickness resulted a lower remaining strength of the pipe, and consequently lead to failure once the remaining strength unable to withstand the desired operating pressure of the pipe.
One of the common ways for pipeline inspection is by using intelligent pigging to gather important data such as location and geometries of defects.
In stage 1, geometries of the steel pipe, putty and composite were modelled which similar to the published data and the material properties is then modelled and assigned.
The published experimental burst pressure is 33MPa [26] while the FEA burst pressure of the validated base model was 31.77MPa, so the percentage of the error is 3.73% which less than 10% based on the equation: Percentage of Error= ⃓ pm-pd⃓pd x 100% ≤10% (7) where Pm represent the burst pressure of the base model while Pd represent the burst pressure of the published data.
The stress contour plans also shows that the stress concentration area is reducing, and its size increasing in axial direction and decrease in width direction as the defect length increase as well as strength reduction.