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Annual average daily traffic (AADT) serves the important basic data in transportation sector.
Introduction Traffic volume is used as basic data for road and transportation planning, design and policymaking.
Short count is carried out in all roads estimated to require traffic volume data.
The results of analysis on traffic patterns for 365 days through the permanent count data showed that there are daily and monthly patterns in traffic data.
However, since there was less change in weekday traffic data, the short count is conducted on weekdays.

Data queries.
Furthermore, data can be downloaded to a data spread sheet and to create specific key performance indicators.
This is the result of different actions based on the analysis of the data collected.
Also, some rings were used in strategic strands as a tester to determine the maximum service life without producing defects; this data was used to change the limit of maximum casts per ring, progressively, till 1000 casts were reached by mid 2009.
As a result, figure 10 shows cost reduction per ton related to graphite ring use.

Those peaks were denoted as the reduction peak which means that Se(IV) was reduced two times.
Overall, the higher concentration will increase the reduction peak current.
The determination of the concentration of selenite is based on the first reduction peak.
This data indicates the adsorption of Se(IV) on the surface of the copper amalgam working electrode.
This supports the data that the redox reaction on the surface of the electrode is controlled by the adsorption process.

Study on Macroscopically Dynamic Monitoring of Newly Increased Construction Land in Northwestern Plains Based on Middle Resolution Remote Sensing Data Zhihong Liu1,2,a, Xingke Yang1,b, Qian Zhu1,c, Hujun He1,d and Sanyou Cheng1,e 1School of Earth Science and Resources, Chang’an University, Xi’an 710054, China 2The National Land Inspectorate Bureau of Xi'an, Xi’an 710075, China ahshengjun@sohu.com, byxk6105@chd.edu.cn, c547027367@qq.com, d513706952@qq.com, e151375111@qq.com Keywords: Central Shaanxi Plain; Remote Sensing Data; Macroscopic Dynamic Monitoring of Increased Construction Land; Middle Resolution; Spot Verification Work.
In this way, it could further complete the dynamic remote sensing supervision system of new construction land increase in flatland zones of northwestern five provinces, meanwhile, the macro supervision and micro supervision could compensate each other to offer just-in-time and comprehensive data for macro decision making and land supervision administration in five provinces of the northwest[1-5].
Experimental Zones and Data Processing The Choosing of Experimental Zone.
Data Preparation. (1)Middle resolution images The collected middle resolution images of the central Shaanxi Plain were produced in 2007.
Data Pre-processing. (1)Geomatic correction Found out identifiable points from reference images, meanwhile considering the uniform distribution of these points.

The above problems can be solved by analyzing the data in Table 2.
The curve of formula (1) is drawn in Figure 8, as well as the data of Table 2.
By contrasting the fitted curve with the original data, it can be seen that the fitting formula (1) is relatively accurate.
Figure 8 Comparison of the fitting curve with the raw data Summary Steel is more sensitive to temperature, and its properties have changed greatly under high temperature.
By comparing the formula curve and the raw data, the fitting formula is proved to have high precision.

Simulation results demonstrated that an improved channel estimation performance is obtained due to the reduction of signal space.
In order to coherently detect the transmitted data symbols, an OFDM receiver requires reliable estimation of the channel frequency response (CFR) for data subcarriers [1].
In a pilot-symbol-aided channel estimation system, pilot symbols can be inserted periodically into data stream in the frequency domain and channel estimation is performed by discrete Fourier transform (DFT)-based technique, which is known as an effective method due to the fact that it provides similar performance as well as lower computational complexity compared to frequency domain linear minimum mean square error (LMMSE) [2], [3].
For conventional DFT-based channel estimation method, the channel impulse response (CIR) of the mth OFDM symbol can be estimated through (6) and the estimates of CFRs are then given by (7) where is the lth path gain sample during the mth OFDM symbol and is an matrix with entries (8) is a DFT matrix retaining only the first G columns, namely (9) It should be noted that noise reduction may be performed on the fact that the channel impulse response has at most G paths, and thus all the other samples correspond to noise.
The main simulation parameters for an OFDM system with QPSK modulation are chosen as follows: the sampling frequency is 5MHz, the carrier frequency is 2.4GHz, the number of subcarriers N is 256, the cyclic prefix G takes the value of 32 and M = 32 pilot symbols are uniformly inserted into the data stream in the frequency domain.

Theoretical empirical sound absorption models based on Delany and Bazley such as Miki, Wu and Allard – Champoux were utilized to validate the experimental data.
The empirical models were in agreement with experimental data; Incorporation of an air-gap between the fabric layers had a positive influence on the overall sound absorption behavior of barkcloth fabrics rendering the fabric a good sound absorption material.
Synthetic materials such as polymer foams, glass fiber, polyester, mineral wool are the leading sound absorption or noise reduction materials used.
It’s observed that the model is in good agreement with the experimental data (Fig. 5).
The models were in agreement with experimental data at lower frequencies.

Impact of Tropical cyclones to economic development and corresponding Measures for Disaster Reduction in China Huizhi Wang1,a , He Xu2,b 1Tianjin Academy of Social Sciences, Tianjin, 300191, China 2College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China ahuizhiwangnk@163.com, bseacenter@nankai.edu.cn Keywords: Tropical cyclones, Economic influence; Construction of recovery system.
This paper first analyzed the Tropical cyclones characteristic in China, then we discussed relationship between economic losses and Tropical cyclones, and finally we tried to present some feasible suggestions for the construction of a recovery system for Tropical cyclones from the three phases, including disaster defense and reduction system, disaster crisis management, and disaster loss evaluation and compensation system.
Figure 1 Areas of landfalling Tropical cyclones in China 1990-2009 Economic influence of Tropical cyclones in China By analyzing the data which have been released by the Department of Civil Affairs of China from 1990-2011 (except from Hong Kong, Macau, and Taiwan), we tried to find the casualties and direct economic losses resulting from tropical cyclones.

Instead of structural changes which are more difficult and expensive, development of fuel technologies is preferred to provide reduction on exhaust gas emissions which are harmful to environment and human health.
Emission data have collected and converted by a computer program.
Using anisole as additive may occurs reduction at specific fuel consumption due to oxygen atoms in its molecules at high engine speeds.
Maximum NOx reduction provided by modified fuel with 3% anisole at all engine speeds.
· Proportional to reduction of CO2, there is increment of CO emissions at higher engine speeds

The measures were designed based on available statistical data from 2012.
The extent of pollution reduction is a measure of the effectiveness of treatment devices as it determines what part of the pollutant introduced into the device is stopped in it.
It is likely caused by the fact that these sectors, in comparison to others, use huge quantities of water for production and have low effectiveness in the reduction of gaseous pollution.
Yet it is worth noting that in comparison to other sectors, the construction sector had the highest level of recycling in 2012 and the highest level of particulate air pollution reduction in 2004.
It is also characterized by a high level of gaseous pollution reduction, low percentage of landfilling of generated waste and low consumption of water for production purposes.