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Based on in-situ observational data, we analyzed energy features of strong ground motion induced by short delay blasting in unsaturated loess field through three aspects of time history, frequency spectrum and attenuation.
For time histories, the data show exploding ground motion has two essential characteristics, i.e. larger peak ground acceleration (PGA) and shorter duration.
Fig. 2 shows the time-history data recorded at the centre position (UD, vertical component; SN and EW, horizontal components).
Time histories of the exploding ground motion For actual duration features of exploding ground motion, we adopted a quantitative criteria of acceleration () to analyze the time-history data as the follow
Using Eq. 2, duration features of recorded data (see Fig. 2) are summarized in Fig. 3 (the percentage representing the ratio of effective duration to duration).

After reduction process (reduced form, route (I)), the density of membrane decreased slightly to 2.21 g/cm3.
There was no significantly change in shrinkage of the membrane in oxidation and reduction form (route (I)).
Each of the data represented an average of measurements at least 5-10 tests.
After reduction with H2 gas, only Al2O3 and nickel (Ni, JCPDS:4-0850) phases were founded as exhibited in Fig. 2(b).
There was no significantly change in shrinkage of membrane in oxidation and reduction form from route (I).

Box 87, Helwan, Cairo, Egypt E-mail: waleeddaush@cmrdi.sci.eg Keywords: Powder metallurgy, soft magnetic materials, Fe-Co solid Solution, chemical reduction Abstract A nanosized cobalt-based alloy containing 20 wt % Fe was synthesis by electroless chemical reduction method using alkaline tartarate bath and sodium hypophosphite as a reducing agent .
In particular, granular materials consisting of nanosized cluster soft magnetic metal embedded in a non-magnetic metallic matrix have potential applications as media for data storage.
From the phosphorus content determinations by spectrophotometry of the investigated powder was 2.5 wt% from the total alloy content meaning that the alkaline tartarate bath giving an electroless precipitate has low phosphorus content but by sintering in hydrogen atmosphere the phosphrous content decreased into 0.1 % due to the reduction of the metal phosphides to the phosogen gas which was liberated.

Introduction At present, the filter loss reducing agents for oilfield drilling fluids are mainly of organic type, and their filter loss reduction effect is obvious.
Table 5 shows that after 16 h of hot rolling at 200°C, the filtration loss of drilling fluid with 1.0% asbestos fiber was reduced from 22.4 mL to 9.3 mL compared with drilling fluid without asbestos fiber, and it is obvious from the above data that the filtration loss of drilling fluid with 1.0% asbestos fiber was reduced by more than 50% compared with drilling fluid without asbestos fiber, which is a significant effect.
Thus, asbestos fiber can be used as a filter loss reduction agent in drilling fluids.
The high temperature did not affect the reduction of drilling fluid filtration loss by asbestos fiber.
The analysis on the data indicates that the drilling fluid containing asbestos fiber has a strong resistance to high temperature.

Data for the nanopowders characteristics, as well as output rate and energy consumption are discussed in this paper.
Other consequence of the DPM mode is reduction of the output rate because of the roughness of the target surface.
Therefore, reduction of the on-off time ratio leads to reduction of average laser power and plainly output rate.
That leads to increasing of laser intensity in focal spot, reducing of thickness of melted material, and reduction of the energy wasted for thermal conduction.
Ability of shortening the laser pulse is limited by fore and back fronts of the pulse and reduction of laser pulse energy.

Thus, programmable measurement devices for distributed data acquisition and parallel computation, and data reduction and storage play a critical role in the implementation of SHFs, as a consequence of the fairly large number of installed sensors.
The different nature of structural and non-structural components requires different strategies not only for data processing but also for data acquisition.
In a similar architecture, relational databases play a critical role for data storage, data mining and data fusion.
Anomalies can be detected by continuous processing of the incoming data.
At the same time, the adoption of local data processing procedures, such as the automated dynamic identification of the structure, leads to a significant data reduction which is relevant not only for data transmission in critical conditions but also to reduce the costs related to data storage.

Furthermore, a measuring system for segmented SOFC cells has been developed allowing for the spatially resolved characterisation of cells in terms of current density/voltage characteristics, impedance spectroscopy data, operating temperature and gas composition.
In order to determine the temperature at each segment allowing for correlating experimental data such as voltage, current density and impedance data with the local temperatures, thermocouples are introduced in the metallic segments.
As a consequence, the overpotential is mainly related to the cathode and further cell improvement should concentrate on improving performance of the oxygen reduction reaction.
The obtained data can be used to avoid critical temperature gradients during operation and also to optimise functional layers to homogenise current density and heat production especially in a fuel cell stack.
It seems that the increasing conversion rate at the segments 9-11 causes performance reduction at segment 12 that could result in critical conditions and hence enhanced corrosion at the fuel exit.

Journal of XI′AN Jiao Tong University, 2005, 39(10):1064-1067 ] mapped similar data objects in high dimensional semantic space into an adjacent range in one dimensional value space using HSFC to generate semantic-preserved index value.
Semantic-preserved index constructing for RDF-based resource 3.1 RDF Data model Resource description based on RDF contains semantic information, which helps to support resource semantic retrieval.
Fig 1: Class structure and class ID assignment 3.3 Dimensional reduction for resource index In structured P2P network, routing query completely lies on node ID which is one-dimensional value, resource retrieval realizes by embedding the searching process into the nodes of structured P2P networks and using the data search mechanism of networks.
IEEE Trans on Knowledge and Data Engineering, 2001, 13(1): 124-132 ] demonstrates that HSFC has the best locality-preserving characteristic.
At last, resource query is realized by embedding the process of searching into the nodes of structured P2P networks and using the data search mechanism of networks.

The line data and also for load data for 33-bus system has been gain from [19-23].
Same as other test system, a high resistance and high reactance value will be modified in R and X column in line data to simulate the open line.
Result and Analysis Losses Reduction.
In the other hand, the percentage of power reduction for case 2 and case 3 are 37.6% and 38.2% respectively.
Thus, this EPSO method has lower loss reduction compare with other two methods (PSO and EP).

Quad-tree based data processing Dealing with huge amounts of data is often a difficult challenge [3].
Multi-thread data loading.
Multi-thread data loading was used, the main thread rendering all the data in memory; other threads accomplish data exchange, view culling, and terrain update.
With the efficient algorithm of data schedule, these data can be updated real time.
For our method, the average frame rate is 46.75 fps with the first data set, and 44.57 fps with the second data set; For ROAM algorithm, the average frame rate is 41.14 fps with the first data set, and 39.44 fps with the second data set.