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The Neighbor-List contains seven parts: Node’s Order number, Residual energy, Location, ,Void flag, Select flag and The number of neighbors.
Simulation parameter Parameter Value The network size 80m*50m The number of sink nodes 1 The number of source nodes 1 The number of sensor nodes 30,50,80 We make the average result of twenty counts as the final result.
The void number reflects the routing loop.
When the number decreases, the phenomenon of lop gets improved.
“Dynamic fine-grained localization in adhoc networks of sensors,” Proceedings of the 7th International Conference on Mobile Computing and Networking (MobiCom 2001), Rome, Italy, July 2001: 166-179 [9] L.

Every 30 times of test cycles, polishing the samples firstly, then put them under microscope to observe times and numbers of cracks producing, measure single length and total length of all cracks on the root of V shape gap of each sample, to establish relationship between the crack length and test cycle.
Table 4 Crask numbers and length of varying cycles at 720℃ thermal fatigue performance test (mm) Sample № Cycle(time) 30 60 90 120 150 number length number length number length number length number length 2 3 4 5 0 1 0 1 0 0.47 0 0.10 0 1 1 1 0 0.69 0.17 0.40 0 1 1 1 0 0.76 0.25 0.53 0 1 1 1 0 0.79 0.40 0.55 0 3 2 1 0 1.06* 0.45 0.58 *: There seemed initial crack.
Table 5 Crask numbers and length of varying cycles at 860℃ thermal fatigue performance test(mm) Sample № Cycle(time) 30 60 90 120 150 number length number length number length number length number length 2 3 4 5 0 1 1 1 0 0.21 0.41 0.21 0 1 1 1 0 0.26 0.45 0.34 0 1 1 1 0 0.27 0.47 0.63 1 1 3 1 0.16 0.35 1.07 0.73 1 2 3 2 0.18 0.54 1.10 0.93 Table 6 Hardness of samples of varying cycles at 720℃ thermal fatigue performance test (mm) Sample № Cycle(time) 30 60 90 120 150 2 3 4 5 541 597 579 500 608 583 585 457 587 521 538 439 558 471 426 405 564 496 457 412 It could be seen in Table 4-5 that №2 sample was of higher anti- thermal impact performance, it only occurred a crack at 860℃ 120 cycles, its length and even a total crack length after 150 cycles were shorter, lower than a crack length that №3-5 samples occurred at 860℃ 30 cycles; №3 sample’anti- thermal impact performance at 860℃ cycles was lower than that of №2 sample, but its crack
status of producing numbers, a length and total length were better than that of №4-5 samples; №4-5 samples’ anti- thermal impact performance at 720℃ and 860℃ was all lower, and their crack producing numbers and length increased obviously as temper temperature went up, the status of №4 sample was worse than that of №5 sample.
Although each sample’microstructure was all temperred sorbite ＋grain carbides at 720℃ 150 cycles,but It was also obvious that №4-5 samples had showed many massive carbides（see Fig. 4-5.

Hyper Ellipsoidal Model Given a set of training samples of a class, where,is the number of training samples.
Tab.1 Training set and testing set class acq eran grain crude trude class code 1 2 3 4 5 training set 804 468 126 88 50 testing set 402 234 63 42 25 The computational experiments were done on a CPU Pentium 2 G with 512M memory, operation system Windows Xp.
If n is the number of a class testing samples , it is called micro average precision (MIAP).
If n is the number of a class testing samples, then it is called micro average recall (MIAR).
If n is the number of a class testing samples, then it is called micro average F1 (MIAF).

In our web content management system, data can be defined as documents, movies, pictures, phone numbers, scientific data, and so forth.
The procedures are designed to allow for a large number of people to contribute to and share stored data, control access to data based on user roles, aid in easy storage and retrieval of data, reduce repetitive duplicate input, improve the ease of report writing, and improve communication between users.
In a CMS, data can be defined as nearly anything: documents, movies, pictures, phone numbers, scientific data, and so forth.
ACL controls security access in the level of fine grain.

Initial Data and Preliminary Calculations Grain size distribution.
Grain size distribution of the processing tailings of gold-bearing ore from the Verninskoye deposit Size class (di, mm) Content (Pi, %) -0.15 + 0.1 -0.1 +0.071 -0.071 +0.045 -0.045 +0.00 -------------------- 0.051mm 15.74 10.80 14.76 58.70 ------------------ 100 % Figure 1.
A feature of the calculation method is the dependence of the parameters on the value of the Reynolds number.
Such ratios are also observed for other values of the Reynolds number [6].
The calculated values of the coefficient k and the corresponding Reynolds numbers are shown in Table 4.

All models and their variations produce a number of similar characteristic features.
Modifications due to scale grain growth coupled with grain boundary diffusion control or due to rapid transient oxidation occurring before protective healing layers are formed may lead to power law or logarithmic rates as listed below [2]: parabolic: (∆W/A) 2 = (kpt) (1) power law: (∆W/A) m = (kt) (2) logarithmic (∆W/A) = ln [(kt+c) 1/m ] (3) Spalling Models.
But here the number of effective area segments is now fixed, as 1/FA.
Weight change and cycle number normalized by corresponding coordinates at the maximum weight.
The cycle number is normalized by the number of segments, no (=1/FA), and the normalized weight change, Wmet,u, is defined as eq. 13.

In order to make measurements of entropy in the arrow of time (past-present), tensors in General Relativity were used to calculate this thermodynamic quantity and with this, the big bang´s low entropy condition in phase-space of coarse graining (Hawking´s box), according to Weyl curvature hypothesis (WCH) of Roger Penrose.
[4] (9) The Riemann tensor [36] was determined as (10) For calculating the entropy of matter the Bekenstein-Hawking formula [5,12] was used , (11) If we take a physical system such as coarse-graining of phase space to measure the volume of a given value of entropy, we use the mathematical expression where the entropy is proportional to the logarithm of the phase-space volume, namely [11,12] (12) The Schwarzschild solution [26] to the Einstein field equations must be considered the most important achievement of general relativity in the field of Celestial Mechanics, because it is an exact solution to the field equations [18,28-30] that historically corresponds with the Newtonian result of the square inverse of the universal attractive force of classical gravitational theory [4].
Making comparisons between Eqs. (58) and (59), we solve , obtaining (60) Equation (60) is solved for as (61) Then the limit, when (62) Which is a small finite number, which is negligible for an observer located at a distance large enough, as to say that distance is infinitely large.
Table 1 Values of volume in phase-space coarse graining.
[J · K-1] [m3] 1 1 0 For values of low entropy, such as we can argue that they fulfill the Big Bang`s low entropy condition for 1 m3, which can be considered a high volume if it is taken into account that is the “most tiny” compartment in phase-space volume of coarse graining of the Hawking´s box as in [12].

Betweenness Number Distribution.Assuming the number of the shortest path is between nodes and , is the number of shortest path through the node m.Wherein, the ratio /represents the importance of the node m which connects and .
Of course, this node must have at least one shortest path, which is required to .The same method can also define the betweenness number of the side.The side number of the shortest path in the network are defined the edge betweenness number.
Clearly, the maximum number of edges between ni nodes is ni （ni-1）/2, actually the number of edges between ni nodes is Ei.
Stopping criteria for ANN is to check the effective number of parameters.
If this value reaches the total number of network parameters, the number of neurons in the hidden layer should be increased, to avoid under-fitting the networks.

The recorded second field potential difference is a complex number and so the result is called complex resistivity.
Polarization, time constant, frequency-dependent factor and magnetic relaxation number are the four commonly used parameters to characterize the polarization properties of mineral resources [3].
Good uniformity correspond to the small frequency-dependent coefficient, and the electromagnetic relaxation number (relaxation time with relevant reservoir) are quite different for different materials.
ranges from 0.1~0.6 and indicates the shape of mineral grain and variation range of the size [6].

Distance-independent Underwater Localization ALS Algorithm ALS algorithm[5] can estimate region position of the node, based on the attenuation degree of the signal transmission, the algorithm divided network into a number of fan-shaped area, one of node receiving signal energy level corresponds to a fan-shaped area, shown in Fig.2 .
Underwater localization problem has attracted the attention of a growing number of researchers, the positioning resarch of the current UWSN have shown the following trends: (1) It is a hot spot to improve the ranging technology and the accuracy of ranging[11].
(2)Greater emphasis on cost control[7], in the context of ensuring efficiency and accuracy, as far as possible to reduce the number of GPS buoys, AUV and underwater beacon nodes, and to reduce the constraints and preconditions of positioning algorithm.
IEEE OCEANS Asia Pacific Conf., pp.1-8,(2006) [12] Sav vides A, Han C C, Srivastav a M b: Dynamic Fine-Grained Localization in Ad-hoc Networks of Sensors.