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Hence we apply the cross product on the sets: Roles and Data items.
Table 1 lists access permissions on data items for each of the roles.
In this paper, we present results of using Formal Concept Analysis and dimension reduction methods on access control data.
Our aim is to allow processing of larger amount of data.
Identifying the dependencies existing in a domain allows efficient data analysis. 6.

Some further data processing techniques should be applied to realize the indirect identification of bridge’s dynamic characteristics utilizing vehicle vibrations.
The increase in identified bridge frequency indicates that the removal of asphalt pavement contributes more in mass reduction than in stiffness reduction.
The increase in the identified bridge frequency indicates that the bridge stiffness reduction due to removing the noise-blocking walls and applying the saw cut in parapets does not contribute as much as the mass reduction.
Some further data pre-processing, decomposition, or analysis techniques should be applied to the raw responses to increase the probability in terms of an indirect identification of bridge’s dynamic characteristics utilizing vehicle vibrations [5].
Some further data pre-processing, decomposition, or analysis techniques should be applied to the raw responses to increase the probability in terms of an indirect identification of bridge’s dynamic characteristics utilizing vehicle vibrations.

However, for now, most data processing is still post processing but real-time.
Finally, the data will be stored in the camera.
The complete workflow of data acquisition is shown in fig. 2.
The data processing workflow of photoscan is as Fig. 4.
If the image data is too large to output, it can be output as sheet serious.

So in the course of change steel grade St.3sp to steel grade 40, this reduction is equaled to 0.2 m/min, and for steel 85 is 0.4-0.5 m/min, depending on the billet cross sectional area.
Absolute and relative values of speed reduction for different steel grades and cross section Steel grade Cross section, mm Absolute value of speed reduction (∆V), m / min Relative value of speed reduction (∆V), % St.3sp 150 × 150 0.9 30 152 × 170 0.9 33  40 150 × 150 0.9 32 152 × 170 0.9 36 85 150 × 150 0.6 24 152 × 170 0.6 26 It is known [4-6] that the increased content of harmful impurities in steel, in particular sulfur, has a negative effect on the speed of metal casting.
An array of 96 melting data was investigate to clarify this effect.
The presented data indicate, that the sulfur content in the considered range did not have a significant effect on the withdrawal speed of the billets.

In this mode, the audience is not just simply as a map service users, more importantly, it's the provider of the data or information at the same time.
As the profound application of geographic mark services, the data volume provided by the receiver must be increasing exponentially.
On content analysis, the main form of annotation is the word or value of structured data.
If the present category is not detailed, it can be referred to other classification data for a fine classification. 3.2 Emplacement region based on Voronoi k-order Adjacency.
Voronoi-based Dynamic Spatial Data Model [M].

The present study confirmed the use of the ultrasonic dental scaler in enhancing the efficacy of lidocaine in pain reduction from palatal injection.
Finally the pain reduction capability of LN was compared with the conventional topical anesthetic, 18% benzocaine/2% tetraciane gel (BZ).
Since the data from the split-mouth comparison were not normally distributed (Shapiro-Wilk test), medians and ranges were described and a Wilcoxon signed rank test was used to analyze the VAS difference between LN and BZ.
In the split-mouth experiment, LN showed a significant pain reduction compared to 18% benzocaine/2% tetracaine gel.
However, the lower VAS in the LN group indicated a more effective pain reduction of the LN compared to the previous 2% lidocaine liposomes.

In contrast, the second and third valuation method is generally considered when the data can not satisfy the application requirement of the first kind of method.
(3) Measurement of yield reduction caused by farmland destruction Since a variety of crops can be cultivated in a certain area of land, it is necessary to calculate yield reduction of each crop [13].
(4) Measurement of yield reduction caused by environmental pollution Environmental factor that leads to yield reduction mainly includes air pollution and water pollution.
(4) Where, V4 is yield reduction caused by environmental pollution; Pi is price of i crop; Qi is yield per unit area of i crop; S' is the polluted farmland area; K is number of crop type; R is yield reduction rate (in China, yield reduction rate caused by air pollution is in commonly 5 - 10%)
To measure the cost, we need to know the data such as operating, monitoring, repairing and daily managing costs per unit of mineral product in cleaner production process.

Wang[3] proposed energy-consumption benchmark state concept under the varying operation conditions and determine it with data mining method, such as fuzzy rough set (FRS)-based decision table reduction and fuzzy C mean(FCM)-based clustering.
A large mass of information which reflects the systems and its related equipment performance is hidden in the historical operating data of thermal power units.
Based on the actual data of the unit, is achieved and shown in Eq (9): (9) Determination of Energy-consumption Benchmark State Figure 2 shows a simplified system diagram.
Table 1 ASFC of All States state M P T Tre P1 … P8 Pc bpipe bH bI bL bc bboiler b 1 473.6 23777 561 547.7 6064 … 11.88 5.54 0.85 11.69 1.141 4.96 14.97 131 290.3 2 473 23719 558.3 543.3 6033 … 15.57 5.5 0.84 11.67 1.141 4.65 14.83 130.5 289.2 3 474.6 23745 558 541.9 6043 … 18.45 5.49 0.85 11.7 1.146 4.45 14.81 130.8 289.3 4 478.7 23557 560 541 6128 … 19.11 5.35 0.86 11.86 1.152 4.46 14.67 131.6 290.2 5 480.9 23758 560 543.6 6170 … 19.19 5.31 0.86 11.92 1.156 4.48 14.66 132.1 290.8 … … … … … … … … … … … … … … … … n 460.7 23581 561.9 547 5989 … 12.83 5.12 0.82 11.26 1.111 4.85 13.99 127.7 285.4 … … … … … … … … … … … … … … … … 48 466.2 23946 560.4 541.1 6124 … 18.85 4.77 0.83 11.72 1.078 4.89 13.44 128.1 285.6 49 483.3 23942 558.3 539.4 6333 … 20.14 5.03 0.86 12.22 1.112 4.88 14.17 131.5 290.5 50 485.2 24495 563.1 545.2 6345 … 19.98 5.11 0.86 12.34 1.119 4.91 14.4 132.5 291.9 THA 466 24200 566 566 5977 … 18.74 5.88 0.84 11.11 1.023 4.68 14.89 130.5 288.7 Fifty sets of actual data under
Adjusting the unit based on benchmark state, FSC would be reduced by 3.3 g/(kW·h), 3.5 g/(kW·h) and 4.3 g/(kW·h) and the percentage of reduction are 1.14%, 1.19% and 1.44%.

Oxide free Tin nanoparticles were synthesized from a chemical reduction method.
There are two kinds of methods used to synthesize non-noble nanoparticle, one is chemical reduction method, also referred to as the “bottom-up” method, the other one is the physical method called the “top-down” method.
The peak positions of the 30.66°, 32.00°, 44.30°, 45.67°, 56.60°， 62.63°， 64.7°， 66.50°， corresponding with the (200), (101), (220), (211), (301), (112), (400), (321), reflected with face-centered cubic structure by fitting the individual peak profiles with a pseudo-Voigt function (JADE, Material Data Inc.)[10].
The experimental results Summary Oxide free tin nanoparticles were synthesized via chemical reduction method with low-cost precursor, and their thermal properties and crystal structure were studied via differential scanning calorimetry (DSC) and X-ray diffraction (XRD), respectively.

Therefore, the development of cost-effective metallization technologies is very important for the reduction of manufacturing cost.
Electrochemical is a very mature technology, in which an applied current or potential is used to deposit a film of metal or alloy by the reduction of metallic ions onto a conductive substrate [11].
Lack of these data significantly limits the development of photoplating.
Therefore, the development of cost-effective metallization technologies is very important for the reduction of manufacturing cost.