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Introduction With the development of Internet and related technology growth quite rapidity, there emerge quite large amount of Web information resources, and the amount of data is quite large and increased quickly.
SVM Decision Tree A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
The standard SVM takes a set of input data and predicts, for each given input, which of two possible classes forms the input, making the SVM a non-probabilistic binary linear classifier.
Common methods for such reduction include: Building binary classifiers which distinguish between (i) one of the labels and the rest (one-versus-all) or (ii) between every pair of classes (one-versus-one).
When the SVM decision tree algorithm was used for data classification, to transform into various forms, the structures of corresponding binary tree are also varies.

The working principle is as follows: first the SCM system sends commands to the driver of stepper motor, second the driver chip drive stepper motor, third the robot move to the joint through reduction gear, then the peristaltic pump starts to dispense, At last the robot returns to the initial position.
The upper microcontroller is responsible for the management of entire system, the calculation of kinematics, the planning of trajectory, detecting the signal of sensor, sending data to the lower microcontroller.
The lower microcomputer is mainly responsible for receiving the data, and then controlling stepping motor to drive manipulator to move at the accurate positioning and controlling peristaltic pump to finish gluing task.
Fig. 6 Hardware Structure Diagram The upper and lower machine both adopts AT89C52 in the control system the manipulator, the upper machine is shouldering the task of processing data, and ATM89C52 only contains 256bytes random access data storage, so it is necessary to extend a piece of static data memory RAM6264 to meet the requirements; the upper machine not only can successfully completes the communication with the lower machine, but also realizes the communication with the PC through the switch; when the lower machine receives the value of each joint angle changes, it will control STK672-04 to drive the stepper motor, can achieve the manipulator motion; when the lower machine receives the signal to send dispensing or stop signal, it will control the peristaltic pump to finish dispensing.

The charge amplifier converts the resulting charge signals, which are proportional to the force, to voltage and managed through the data acquisition system.
Fig 3 presents the main effects plot for data means for the thrust force during CFRP drilling.
Fig. 4 presents the main effects plot for data means for the thrust force during aluminium drilling.
The specific cutting pressure Ks was calculated from the acquired data on cutting torque To, using the Eq. (1).
The following are some of the conclusions drawn based on the experiments and analysis of data

WDW-200 electronic tensile meter was used in this experiment to test the tensile strength(Rm), lower yield strength(Rel), percentage elongation after fracture(A) and percentage reduction of area(Z).
The electrochemical datas were tested after the samples were soaked in solution for 7,15, 30, 45, 60 days.
Combined with the tensile datas of the samples in table 3: the order of the tensile strength, lower yield strength, percentage elongation after fracture and percentage reduction of area after break are all 0#>1#>2#, tensile strength and ductility of the 0# sample are the best, 1# sample secondly, 2# sample is the worst.

If the sample is simplified as a beam and the reduction in elastic modulus after damage is ignored, there is a relationship between the deflection and the load as is shown in Eq. 1
In addition, the generation of new defects results in not only the reduction of A, but also the increase of stress concentration area, which leads to materials’ carrying capacity decline even further.
Each position data is shown as in Table1.

Production Process of Decal Paper Figure 1: Production Process of Decal Paper Experimental Steps Computer Design and Film Making In the designing process, it was necessary to pay special attention to accurately reviewing draft and color allocation, determining the number of colors in a pattern, and whether color can be overlapped, and also accurately know how many colors allocated for each color, whether the times for making the sample experiment can be ensured be reduce only with fine screens and also the reduction degree of patterns can be ensured.
Through experiment, the making f screen printing plate was as follows: (1) 100 added screen lines, yellow polyester screen with over 280 meshes (280 meshes, 300 meshes, 305 meshes and 330 meshes) were selected, so as to print fine lines and fine halftone screen tone; (2) SBQ photoresist made by Murakami Lumber Co., Limited was selected [3], so as to ensure a good imaging reduction, an ideal screen shape, and a screen tone loss rate of less than 3.0%; (3) the accuracy of color register of printing could be directly influenced by whether stretching tension was appropriate, and therefore, screen printing plate stretching tension was controlled at 17N advisably.
Changes of All Qualities of Screen-Printing Ceramic Decal Paper under Glaze Color of Once Firing Quality Data New Decal Paper Market Decal Paper (1) Number of Mesh Over 280 Meshes Below 280 Meshes (2) Number of lines added 100 Lines Unable to add (3) Line and Ink Discontinuing Rate 0.1% 1.0% (4) Color Aberration Insignificant significant (5) Glaze damage rate No 5.0% Experimental Conclusion Innovative Points First, the decal paper is new, including new aqueous inking oil, new paper structure, and new decal paper structure.

This method of vibration reduction in continuous structures is effective over a broad range of frequencies thanks appropriate changes in stiffness and damping properties in response to the applied magnetic field.
It is determined on the base of experimental data.
The results obtained can be useful in a semiactive reduction of vibration in placing the active segments of the MR fluid in an optimum way.

The data was recorded in the reflection mode in the range of 2 theta from 2.0-10o.
This reduction in modulus of the HDPE/NR blend nanocomposites as compare with the nanocomposites without NR is attributed to the fact that NR have lower modulus as compare to HDPE.
This could be explanation for the reduction in the tensile strength.

The data were analyzed by a two-way analysis of variance (ANOVA).
In addition, all coated groups were able to survive TC without any significant reduction in strength, i.e., there was no difference in strength values between the coated groups before and after thermal cycling (p=0.999).
During subsequent thermocycling no spontaneous debonding occurred and no shear bond strength reduction was observed.

This behavior can be attributed to a reduction in the polymer chain flexibility due to the interaction of ether oxygen in the polymer chain and Li+ ions.
By referring the data obtained from previous research, LiClO4 matched well with EC which vastly increased the ionic conductivity [5].
The ionic conductivity of this system had slightly increased as compared to the second system as the existence of plasticizer have contributed to the reduction of the crystallinity and also an increase in amorphous content whereas an addition of the lithium salt as the main carrier boosted the conductivity.