Search results

Based on the comparative analysis on the low-noise road surface, noise reduction green belts, noise barriers and other noise reduction methods, the sound barrier is put forward as an important method for reducing the city road traffic noise.
The noise and vibration test and analysis system mainly includes multi-channel data recording instrument and front end, HPS IV Digital Playback System and so on.
Fig. 2 Data recording instrument and front end Fig. 3 HPSIV digital playback system Test point arrangement.
The result reflects the obvious noise reduction effect of the sound barrier.
The sound barrier has better noise reduction effect in the high frequency range.

Principle component of raw data is extracted by using improved KPCA.
Through Transmission Control Protocol, these data is transferred from Microprocessor to PC.PC process these data and determine the category of the motion.
When an unknown motion sequence is input, processing raw data with PC.
Dimension Reduction of Motion Data Vpnik etc present the learning method of SVM according to statistical learning theory and introduce the concept of kernel space.
It can map the linearly non-separable data residing in low dimension to high dimension and make data linearly separable.

Substantial increase in the number of data dimensions has brought unprecedented difficulties to the cluster; therefore, before using FCM algorithm, the original sample data reduction has very important significance.
However, dimensionality reduction by manifold can find low dimensional embedding hidden in high dimensional data.
This paper uses manifold dimensionality reduction algorithm for high dimensional data, existing methods use dimensionality reduction for feature vector firstly, further FCM training, this type methods of dimensionality reduction do not use the data correlation .
FCM algorithm base on L-Isomap dimensionality reduction Isometric mapping algorithm built on the basis of MDS[2],Use local neighborhood distance calculate approximate manifold geodesic distance of data points, Complete data reduction through the establishment reciprocity between geodesic distance of the original data and spatial distance of dimensionality reduction data.
Assumedis data set,N is the number of samples, C the number of data set is divided into .

The storage and management of solar energy data are of good performance.
In the solar energy engineering, it is often to store the acquisition data, query and update the solar energy data.
Fig.3 Data input interface developed by VC++ MFC These measured data can be input into SQL Server database with the help of the user interface developed by VC++ MFC, as Fig.3 shows.
Fig.5 Solar radiation curve in Shanghai throughout a whole year Table 3 Table Structure of Assessment for Energy Saving Structure ID Location Starting_time Ending_time Energy_saving CarbonDioxide_reduction int nvarchar(50) data data bigint bigint data 1 Beijing 2009-05-01 2010-05-01 7994592 681955 2 Shanghai 2009-06-01 2010-05-01 18510300 1578967 3 Zhengzhou 2009-07-01 2010-05-01 5274220 449902 … … Take Shanghai as an example and choose the date 2009-06-10 to simulate and predict.
The data of energy saving is as shown in table 3.

Seismic Fragility Analysis of Mid-story Isolation and Reduction Structures based two Directions Peiju Chang1, a 1Department of Information and Computation, Beifang University for Nationality, YinChuan, 750021,China achangpeiju1979@163.com Keywords: MIRS; Data statistics; Stochastic vibration; Seismic fragility; Finite element Abstract.
This study focus on derivation of such fragility curves using classic mid-story isolation and reduction structures (MIRS) in China metropolis.
Each vertical line of scattered data corresponds to an intensity level.
The parameter COV estimates the logarithmic standard deviation of the data statistic regression.
The curves become flatter as the nature of the statistical distribution of the response data.

What the grey theory established is to generate the data model but not the original data model, so the data in the grey prediction is the inverse processing results of the prediction got by the model GM(1, 1) which is used to generate data.
Setting x(0)(1), x(0)(2),..., x(0)(M) are the original data of certain index need to predict.
(3) Where, and B is a constructed data matrix.
For , which is the prediction of the linear accumulation generation series, we can calculate the reducing value of the original data
The choice of the original data.

The test cases reduction approach provides suitable test cases inputs for fault localization
They proposed vector-based reduction techniques and found that statement-based reduction strategy provides much greater reduction of the test-suite than vector-based reduction, but vector-based reduction is more effective on fault localization.
(3) The third method analyzes both data dependence and control dependence.
However, it only analyzes the branch prediction and control flow graph, so the faults relevant to data flow cannot be analyzed.
Unfortunately, there has not been any study that investigates the test cases reduction based on the execution path.

Using a generalized chemical kinetics equation, we have obtained a formula for checking the expressions that describe the experimental data.
To optimize the operating roasting conditions, we need to have the data pertaining to the kinetics of these processes [9 – 20].
The data obtained during the experiments allowed us to get dependences of the degree of calcination on the prill size, duration of thermal treatment, temperature, and gas-phase composition.
(12) This formula will be used later on for checking the expressions that describe experimental data.
The calculations showed that estimates and experimental data are in good agreement.

In this paper, meso-mechanical analysis is used and a two-parameter model is developed to describe the stiffness reduction.
Then with the help of the damage evolution, the stiffness reduction of laminates can be predicted.
Table 1 shows the strength data of a [0]8 laminate with 56% fibre.
Under high stress level, fibre breakage is the dominant factor to laminate, which lead to the stiffness reduction to be linear reduction.
Stiffness reduction mechanisms in composite laminates.

The photocatalytic activity for Cr(VI) reduction was evaluated by several batch experiments.
Comparing the BET analysis data of different catalysts in Table 1, F doping created a most positive effect on the surface modification of TiO2, which indicated the strong adsorption ability and the sufficient space for photocatalytic reaction.
The highest reduction efficiency of 90% was obtained as a result.
It is suggested that F-TiO2 has the best photocatalytic activity for Cr(VI) reduction.
The photocatalytic performance of F-TiO2 was studied via Cr(VI) reduction experiments.