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The measurement data are analyzed to predict the cause of the excessive interior noise in tunnels, and some suggestions are presented for improving the condition.
(a) Test data in tunnel (b) Test data on open field Fig.3 Noise spectra of point E at the pantograph seat of car 6 with different speeds Table 2 shows the total SPL, the maximum SPL and its frequency bands at different speed grades.
(a) Test data in tunnel (b) Test data on open field Fig.4 Interior noise distribution above the bogie in car 3 with a speed of 350 km/h In order to obtain the interior noise spectra above the bogie, the microphones were located at the positions with larger SPL and at the position 1.2 m high, at the center of the compartment.
(a) Test data open field (b) Test data on in tunnel Fig.5 Frequency spectra of monitoring points above the bogie in car 3 with a speed of 350 km/h In order to investigate the exterior noise near the bogie, microphone was installed at the bogie.
(a) Test data in tunnel (b) Test data on open field Fig.6 Noise spectra at the bogie of car 3 Among these interior measuring points, point B has the greatest noise level, and the maximum noise amplitude of point B is at 800Hz in car 3.

However, because of the sparse data they may bring about unsatisfied recommendation qualities.
The experimental datasets include ten groups of different sparse data which includes the same 733 users and 687 items.
According to the definition of the closeness concept, the higher closeness is, the less sparse the data set is.
The experimental data sets are shown in table 1.
(a) Movie Lens Data Set 1 (b) Movie Lens Data Set 2 (c) Movie Lens Data Set 3 (d) Movie Lens Data Set 4 (e) Movie Lens Data Set 5 Figure 2 Comparison of recommendation quality: cosine, adjusted cosine, Pearson and combinative method According to the experimental results, we can conclude that for different, the with our method is less than that of cosine, adjusted cosine and Pearson’s correlation.

Its application greatly improved the work efficiency, and speeded up the data collection and information processing.
It is very suitable for automatic identification and data collection[1].
PDF417 barcode has three data compression and encoding modes (byte coding mode, number coding mode and text coding mode) to convert the original data into code word of 0~928.
The preprocessing steps include graying, smoothing and noise reduction, image binarization and tilt correction.
Pixel grayscale in grey image is indicated by a 8bit data which is in between 0 and 255, 0 means black, 255 means white.

With this approach we are mainly concerned with the mathematical fitting of hyperelastic constitutive equations to experimental data.
In Fig 1 and Fig 2 are visible the uniaxial and volumetric experimental data, respectively.
Fig. 1 - Uniaxial compression data (T=23ºC) Fig. 2 - Volumetric compression data (T=23ºC) Is visible in the previous figures the CPGC non-linear behaviour and the increase in stiffness resulted from the cork incorporation.
The material parameters Di are calculated from data obtained in a volumetric compression test.
Fig. 6 - FEA correlation with compression experimental data Fig. 7 - FEA correlation with volumetric experimental data FEA results discussion.

The data will not have any impairment to meet system requirements [3].
Finally, it transmits the data to PC through SCI, at the same time, realizes the functions of thickness data display and error alarm.
After the conversation, the data are transmitted into the CPU for processing by 16-bit data bus.
It will get the digital signal for noise reduction and filtering.
The main control chip TMS320F2812 implements the effective processing of steel plate thickness data.

Selection should be based on the data and knowledge of critical parameters.
Smart sensors are one of basic sensing elements with embedded intelligence, capable of networking among themselves and with higher-level systems to provide both process data and data validity qualifiers to assess the health of electronic systems [3].
WSNs generally consist of a data-acquisition network and a data-distribution network monitored and controlled by a management center.
The advantage of WSNs is that they allow data from multiple sensors to be combined or fused to obtain inferences.
This is referred to as multi-sensor data fusion.

The calibration data was obtained using the thermocouple used for this experiment.
Next, we compare experimentally obtained data to the “exact” solution from the “idealized analytic model”.
The sampling rate used in the data acquisition system was 10,000 Hz.
Analytic model result Experimental data Analytic model result Experimental data Fig. 6: Experimentally acquired thermocouple data and analytic model results.
That is, overlay the analytically continued approximation over the acquired temperature data.

They differ in ways of forming data flows and effective data rates within the communication channels.
The version of the recording systems is selected mainly depending on the performance data of the monitoring items.
Network topology generally defines efficient allocation of data flows among computer-aided tools of the recording system.
This unit receives data flows from industrial computers, organizes a data base and forms data flows of oscillograph visualization for the client computers on their requests [6].
Secondly, the use of the data base as a link between industrial and client computers significantly decreases the main effective rate of the data flows received by clients.

It is very important to have adequate input data for the FEMU.
Generally, this approach compares experimental with numerical data.
Additionally, the iteratively numerically generated data is not compared directly with the reference material data.
Again, synthetically deformed images were created iteratively based on the numerical analysis, being the numerical data a DIC-leveled numerical data.
The superscripts “num” and “exp” refer to the data originated iteratively during the optimization process and the virtual experimental (reference) data, respectively.

The main objectives are to increase the performance of the bumper and also to find a solution to reduce the cost of the bumper thereby facilitating the reduction of production cost.
At the exact moment of impact the vehicle shall be free of relevant exterior or propelling forces (in order to stabilize the approach some drag may be allowed, e.g. use of hand brake). 7.2Full-width Tests Insurance claims data indicate that rear bumpers are often underwritten by the striking vehicle when vehicles of similar type collide due to the influence of dynamic vertical dive of vehicles while braking.
Insurance data also reveals that rear bumpers are overridden when struck by high ride-height vehicles (SUVs, pickup trucks).