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The abrasive particle moving locus under TDUVG is elliptical line along helical line [3], which increases the interference of the grinding locus and the numbers of the effective particles, thus enhances the quality of the grinding surface to a certain extant.
This is because increasing the grinding depth, the numbers of effective abrasive particles joining in grinding increase and the contact arc length between the wheel and workpiece increases as well, so the grinding removal quantities and the consumed energies also increase, which leads to the grinding temperature raised.
The great high frequency impulsive force also could make the nano-ceramics crystal grains rearranged and reduce the intergranular binding force.
The reasons are: (1) The thermal pulse numbers between particles and workpiece increases with the increase of the wheel linear speed, which makes the grinding temperature increase; (2) The influence of diamond wheel on the wheel speed is caused by the single particle's cutting depth during grinding process.

Formed grain boundaries are fast pathways for diffusion of dopants in the gate dielectric, and the leakage current increases.
Since it was reported, that adding nitrogen to the oxide film will decrease the leakage current density [7], the number of studies have been increased rapidly.
After the MOCVD growth with subsequent annealing, the Si-Raman peak at 519 cm-1 (bare Si-wafer) shifts toward higher wave numbers by 0.02 cm-1 (inset in Fig. 1).
After the MOCVD growth and following annealing under high/low nitrogen pressure the Si peak shifts to higher wave numbers (inset).

For each instance of a class, we will attach a unique identity number to it when it was instantiated.
The daemon-thread would fetch the identity number of the instances which were involved into the jump instructions and then linked the caller and callee's identities into a small memory space called jump_tag_list (JTL).
When instances of classes Foo, BarImplOne and BarImplTwo were loaded into memory, the daemon-thread would first attach an identity number to the instances and then scan the byte codes of every class to find the chk_tgt instructions and add the instance of Foo and instances of BarImplOne and BarImplTwo into the JTL.
Figure6 Response time Test with SPECjbb2013 The test above is a fine-grained performance test of the JVM.

In Fig. 2, it is possible to observe the experimental apparatus parts, indicated by numbers and described below: 1.
This cicles is repeated until the desired number of weld runs is attained.
Choose the section to be analyzed, were realized consequent steps, such as cutting the sample in the required dimensions; Embed the sample in an appropriate acrylic resin for easy sanding; Realization of sanding the surface with sandpaper grain size from 180 to 1200; Polishing surface finishing, using Alumina 1μm; chemical etching using a Kalling n˚1 reagent, for identifying the phases presents; and microstructural analysis with an optical microscope.
Welding Process: GMAW Short Circuit - Multiple Steps Interpass Temperature: 150˚C Base Material: ASTM A743 CA6NM Added Material: AWS 410 NiMo Sample Positioning Number of Weld Beads Speed of ​​Wire Feed (m/min) Speed ​​of Torch Translatory (mm/s) Tension (V) Stand Off (mm) Gas Flow (l/min) Vertical 22 5,6 12,0 18,0 12,0 15,0 In the process of GMA welding, type short-circuit performed in this work it, was observed that the electrical contact is extremely important to the effectiveness of the welding process, i.e., if there is a contact resistance, the quality result of the weld bead and the process stability are compromised.

Micro examination No micro cracks No micro cracks Co 0.25 max 0.25 max 8 Grain size Finer than 2 Finer than 2 B 20 ppm max. 20 ppm max.
Identification of the raw material / items traceable to the manufactured product used by the Manufacturer was retained through-out the manufacture by transferring the heat number, part number, serial number or either appropriate marking on the material / items being taken up for manufacture and the left out material.

IPv4[4]using a 32-bit binary string format, with the increase number of hosts, IPv4 trends to deplete its resources, so IPV6 uses a 128-bit binary string format that can ensure every grain of sand on the Earth can be assigned to a single IP address.
To Check the application equipment name whether accord with naming rules; whether you have use; whether in blacklist medium; it record equipment type, name and specific information such as PC, mobile phones, embedded equipment NIC address, phone IMEI number, mobile phone serial number, random information, etc.; Equipment name password, etc.

Based on a large number of tests which used high mica content in stone powder, Xinyu Li considers unit water-use of concrete increases with the increase of stone powder content, and concrete mixing performance gradually becomes poor [5].
In gneiss mica content is about 20% with a fine grained structure, but mica content in manufactured sand which particle size is greater than 0.3 mm is nearly 0 and conforms to the requirements of the specification, mica content in stone powder is about 25% by using petrographic analysis combined with image analysis measurement.
Each cycle of freeze-thaw was 8h, both the freezing time in frozen and the melting time in water channel was 4h, the total number of freeze-thaw cycles was 50 times.
Fig.1 Curves of compressive strength Fig.2 Curves of compressive strength and water-binder ratio and mica content Freeze-thaw cycles test Specimens F1-5 are also used to freeze-thaw cycles test, the total number of freeze-thaw cycles was 50 times, the test results are shown in Fig.3.

Setting each specimen on a fatigue testing machine for which only furnace cooling and aging treatments were performed or Ni-P plating was performed after zincate treatment in addition to the previous two treatments, number of repetition until each specimen raptured was obtained under various repeated tensile stress amplitude (σ) at a room temperature with stress ratio of 0 and frequency of 30Hz.
It is understood from Fig.1 that coarse string-shaped deposits have been generated evenly over the whole crystal grains with μm size on the specimen surface in case of ACF material which was cooled in a furnace down to 293K after solution treatment at 823K.
Fig.3 Relations between stress (σ) and number cycles to failure (N) for ACF materials; ○ plated or △ unplated after furnace-cooling from 823K to 293K.
Fig.4 Relations between stress (σ) and number of cycles to failure (N) for ACA materials; ○ plated or △ unplated after quenching from 823K to 293K.

Taking into account the increased primary cell reaction, there are a large number of Co(OH)2 on the foamed nickel surface and crystals grow along the direction which is vertical to (1-100) and (10-10) lattice planes (Fig. 2).
As a part of the reaction products, Co(OH)2 is not only a small number of low concentration, and even peeled off from the substrate (Fig. 1a).
The number and intensity of miscellaneous peaks increases as time increases, indicating that Cu(OH)2 crystal grows more completely and it gets sharper peaks which result from the improving of its crystal structure gradually over time.
Extension of time also helps increase the grain size of spherical Co(OH)2 and the diameter of the spheres is increasing, whose trend is increasing slowly in Fig. 5.

Xiangyang She et al. [7] introduced the SVM theory and method, combining with the fundamental principle of remote sensing image approximately geometric correction, employed difference GPS to measure actually ground control points coordinates, used the remote sensing image processing software to measure image coordinates corresponding to ground control points, and selected respectively different number of control points as remote sensing image geometric correction control points and the rest of the control points as check points according to clustering algorithm.
Soliman Omar S [27] by nonlinear kernel SVM algorithm presented a classification system for satellite remote sensing images obtained by ASTER satellite .Through the test and comparison on the eastern desert of Egypt the northeastern region of interest, SVM classifier constructed by RBF kernel function had the highest accuracy.For the SVM classification function, because that the number of support vector was proportional to the classification time in the nonlinear case, Habib T [28] provided four kinds of algorithm to reduce support vector, by extracting the general changes in different remote sensing images of a group, classifying the images as two kinds of conditions -----change and no change, and testing the four algorithms in the framework of changes.
Karimi Y [38] studied the possibility of extracting crop growth and biodiversity parameters from the aerial hyper-spectral remote sensing image using SVM method, showing that crop biological parameters could estimate accurately grain yield by the reflection data collected at heading stage.
Nowadays, research on the algorithm focus on improving the classification precision and improving classification efficiency, and how to reduce the number of training samples and improve the training reliability also draws a lot of attention.