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Analysis of the mangrove roots coordination pattern had been conducted by gathering data at study site located at Kemaman, Terengganu and the data had been plotted in Gambit software for simulation purpose in Fluent Inc software.
From the simulation, the study found that the numerical model results were approximately consistent with the measured data of tsunami inundation flow around the mangrove forest at Pekarang Cape.
The data created in the AutoCAd software were plotted with 1:2.5 ratio compare to the actual side observation data in order to validate the simulation data with the in-house experiment data.
Henceforth, the AutoCAD data was transfer into Gambit software for meshing purpose.
For data validation, an in-house experiment using 1:2.5 scale models of mangrove trees will be conducted to validate the data obtained by the simulation.

The data acquisition system is composed of four modules: the transducers (the force transducer for the z direction, the force transducer for the x direction consisting of tensometric devices HBM 350XY11) placed on the two rings of the dynamometric table, the signal conditioning modules (MB-38 produced by Keithley Instruments Inc.), the analog – digital conversion device (KPCI 3108, Keithley Instruments Inc.) and a software package that controls the acquisition system and processes the collected data (TestPoint).
The system used to measure the strain and thickness reduction was an optical system Argus by GOM.
Fig. 5 and 6 presents the variation of thickness reduction th for cases Fem9 and Exp9.
Thickness reduction variation th for case Fem9 Fig. 6.
Thus, strain and thickness reduction rise with the decrease of vertical step.

The floor impact sound reduction amount of lightweight impact increases with a decrease in the dynamic stiffness.
The decrease in reduction amount implies a decrease in the floor impact sound insulation performance.
Examination of the characteristics for each frequency showed that the changes in the reduction amount were not significant with time at 125 Hz, whereas the changes in the reduction amount were significant at 2000 Hz.
The results of EPS-1 at 500 Hz in Fig. 2 indicate that the data between the initial two months exceeds -10 dB, and that the reduction amount increased with the elapse of time.
Sohn, Correlation between dynamic stiffness of resilient materials and heavyweight impact sound reduction level.

Several methods for generating and displaying such meteorological data have been developed.
Boiler model data.
Table 3 and 4 contain data used for the boilers.
Energy price data.
[16] Nord Pool Spot ASA. http://www.nordpoolspot.com/Market-data1/Downloads/ Historical-Data-Download1/Data-Download-Page/.

Extension data mining is a combination of Extenics and data mining [5-7].
It’s shown by studies that the existing data mining theory and technology will be developed and new data mining theory and technology will be generated by the combination of Extenics and data mining.
In a database, the transformation used on certain data will also cause transformations of correlated data.
Actually, in the studies on text data, image or video data, and Web data, it should also be considered that the influence of transformations on data is a field that should be involved in the extension data mining.
Data Mining Technology.

In this study, we describe a principle for the reduction of blanking vibration when using a servo press, and we propose an active vibration control method for the reduction of blanking vibration.
The purpose of this study is the reduction of blanking vibration using a servo press.
We determined the position of the counter pulse based on the data of the try blanking.
The parameters of a dynamics model were determined as follows instead of the data of an experimental machine: ms=2500kg，mc=600kg，kc=454×106N/m，ks=2.5×106N/m，cs=119×102N･s/m，cc=328×103 N･s/m.
Fig. 13　Reduction rate of vibration in blanking by active vibration control.

Selective Catalytic Reduction(SCR) technology is one of the best after-treatment technologies that diesels control NOx emissions and satisfy increasingly strict emission regulations [2].
Off-line matching calibration analyzes the engine running state and reference index recorded in the test process, afterwards calibrates every MAP diagram and finally updates new data to controller.
Online matching calibration directly modifies the MAP diagram data in Flash or RAM[3] while the controller is running to make the engine run in real time according to the new parameters.
Otherwise, adjust control parameter of MAP data until oxynitride density does not exceed the prescribed limits by either ESC or ETC.
The adjustment of MAP diagram data control parameters adopts the method of adjusting correction coefficient.

Transform coding is the image data mapping pairs coding more efficient image representation method, which provides the possibility for efficient data compression for the subsequent quantization and coding.
Learning, image data is sent to the input layer and the output layer, as a teacher signal.
The trained network hidden layer neurons is vector quantized data compression results, while the output neuron vector is the reconstruction of the data[5].
The data section into M segments, each segment of data k.
This make the m data into M k-dimension vectors.

The parameters of the water quality calculation model are calibrated and validated by observed data in the study area.
Parameter calibration results of flow model and water quality model are satisfactory by some of the observed data in the study area.
The simulation and observed data almost have the same change trend.
(2) The scheme P1 shows that reduction of pollution load can effectively improve water quality.
When the reduction rate reaches more than 80% water quality standard can be close to the target requirement after a certain time.

Abstract：In the face of climate change, city development should take into account the concept of energy saving and carbon reduction.
According to the average temperature from 1981-2010 meteorological statistics data issued by Taiwan's Central Weather Bureau, this study had calculated the warmest day & the coldest day as the time for simulation.
The green building rating System using four categories- Ecology, Energy saving, Waste reduction, Health (EEWH) and seven indicators include Greenery, Soil Water Content, CO2 Emission Reduction, Construction Waste Reduction, Water Conservation ,Sewage and Garbage Improvement form 1999 in Taiwan.
According to its average temperature from 1981-2010 meteorological statistics data, theaverage temperature range in summer is 23.3°C-24.8°C, winter 9.2°C-11.7°C; the average relative humidity(RH) is 80-90%.
Meteorological data: This research had used the data provided by Taiwan Central Weather Bureau from 1981-2010 to calculate the needed parameters for the research by Weather Tool of Ecotect Analysis.