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The evaluation on individual measure implementation was focused deriving reliable information from real-world data collection and survey of the local measure.
General descriptive statistical data were provided based on evaluation results for each measure, mostly with a before and after comparison.
The selection of these indicators was based on a through analysis of data available from evaluation reports of local measures together with abstraction of data to facilitate conversion of impacts quantified differently into a common base.
Data subsets were then created for detailed analysis and comparison.
Figure 2: Emission reduction of Traffic Management Measures Emission reductions from five traffic management measures are shown in Figure 2.

Table 1 shows data for the conventional standby ATC system in an equipment room governing several stations.
Table 2 shows data on the power consumption and installation space for the ATC in a new equipment room about the same size of the above-described equipment room.
In general, local railways in which a limited number of vehicles are assumed to operate should preferably employ an information-dependent model to reduce the amount of data to be exchanged with the Center.
In-vehicle data can be corrected at the Center through the general-purpose wireless infrastructure. 3.
For such local railways, the positions at which trains sway greatly can be specified as locations to be maintained based on probe-vehicle travel data.

The application of the model is presented via a real world company using the last four years of data.
Estimating Model Parameters The data in the case study were obtained from a C2F6 manufacturer located in north Taiwan.
Table 1 displays the data of the past three years.
where the values 0.0255, 0.248, 0.0388, and 0.714 are obtained by sorting the data in Table 1.
The following illustrates the proposed method for a data of (N, t), optimal sample size n*, and critical numbers (c1, c2).

The goals of the automation of design, small size and light weight for the sprung parts are easily realized, and the protection of weight reduction, lower cost and less material reserve has also been gotten in the curtain wall project.
（1） Where [T] is the coordinate conversion matrix.The general stiffness matrix in global coordinate system [K] can be combined by laying each [k]e to corresponding node number.After the equations set between the general stiffness matrix in global coordinate system [K] and load array {R},[K]{q}={R},is established and resolved based on the special final condition, the data of displacement, strain and stress of above model can be easily obtained.
For more detailed,you can see [5]. 1.3 The optimal model of sprung parts 1.3.1 The objective function In order to achieve the goals of energy conservation and weight reduction, the best method is decreasing the volume of sprung parts by analyzed the structure of sprung parts.
The weight reduction in the project is 6258.6kg, and the decreased cost is $6462.
The goals of the automation of design, small size and light weight for the sprung parts are easily realized, and the protection of weight reduction, lower cost and less material reserve has also been gotten in the curtain wall project.

The information can be represented by one data structure and we call this information structured data such as number, symbol and etc.
Actually, structured data is a special case of unstructured data.
The problem with unstructured data.
Customer Preference Analysis Based on SNS Data.
A Parameter Reduction Based Technique For Automatic Analysis of Database Systems.

This mechanism adopts decoupled tag and data arrays, and partitions the data arrays into private and shared regions.
We employ probability to determine the frequency to place incoming data into the shared data region.
Decoupling the tag and data arrays, we partition the data arrays into private regions P and shard regions S, and then link all S to form a shared data region sData.
Excepting data, each data entry contains reuse count reuse, address of the tag entry t_ptr and valid bit v.
PS-Reuse separates tag and data arrays, and specifies a data region as shared region.

Investigation on Thermal Absorptivity of PCM Matrix Material for Photovoltaic Module Temperature Reduction V.
Hence further studies on the Tmod reduction will be effective with the use of Al as PCM matrix tube.
With high latent heat of fusion and wide range of melting temperature, organic PCM like paraffin wax satisfies the need as coolant for PV Tmod reduction.
T-type thermocouple is used to measure the PV module and surface temperature of the tube in open surrounding, 20 channel data-logger (GRAPHTEC midi LOGGER GL820) is used to record the temperature of module RS temperature, PCM tube surface temperature, PCM temperature and others.
Solar irradiance data is measured on the particular day using pyranometer along with wind speed using anemometer shown in Fig. 1(b).

With increasing layers the soil load reduced, but the amount of reduction seemed out of proportion to the layer increasing, to some extent the layers will contributed only a little to the load reduction.
Comparatively, the reduction effects enhanced remarkably with space of reinforcement.
The test data were adopted to examine the effects of load reduction in the reinforced embankment, and the finite element analyses of the reinforced embankment-culvert system were carried out to investigate the load behaviors of culverts and influences of reinforcement parameters on load reduction effect.
The data acquisition system positioned out of the embankment was used to record the measured earth pressure on culvert under various heights of backfill.
Earth pressure reduction method for the buried tube.

The experiment is carried out based on KDD Cup 99 data set.
In this paper training data set is composed of 8 000 data of normal type and 8 000 data of attack type, selected randomly from KDD Cup99 of "10% KDD" dataset.
Testing data set is composed of 4 000 data of normal type and 4 000 data of attack type, selected randomly from KDD Cup99 of the "Corrected KDD" dataset.
The attack types are divided into normal data and attack data.
But for the detection of normal data, the detection of abnormal data and average detection, there is little difference between BP and New-GA-BP.

Defect Reduction in Forming Process of Fired Clay Floor Tiles by Six Sigma Approach Wansika Sirimongkol1,a, Parames Chutima1,2,b* and Siriphan Nilpairach3,c 1Industrial Engineering, Faculty of Engineering, Chulalongkorn University, Thailand 2The Royal Society of Thailand 3Metallurgy and Materials Science Research Institute, Chulalongkorn University, Thailand awansika.s@chula.ac.th, bcparames@chula.ac.th, csiripan.n@chula.ac.th Keywords: Defect Reduction, Fired Clay Floor Tiles, Six Sigma Approach Abstract.
Thus, this step will lead to problem analysis by using experiments, setting hypothesis or using statistical data that has been collected correctly.
The historical manufacturing defect data, which collected 10 lots of production data, showed that the proportion of defect was classified as follows: rough surface 92.10%, crack 2.5%, thin 2.1% and other 3.3% (Fig. 1).
Therefore, the researcher suggests that the study of defect reduction in the forming process of fired clay floor tiles is useful for improving product quality and reducing the number of defects.
Research in this study interesting product features is a rough surface problem in the forming process of fired clay floor tiles, which is a variable with attribute characteristics such as passing or failing, which is the data obtained from attribute data [6].