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In this study, the sedimentation has been assessed and forecasted by GIS technology by using the measured sediment data.
They can be useful in simulating hydrology or soil erosion, but are site specific and require long-term data.
Based on the DEM digital data, the different slope are calculated.
Sediment yield Calculated sediments yields results Sediments yields mainly came from the MUSLE equation based on the DEM data, precipitation data, vegetation data and management data.
In future, all hydrology information ought to be measured, collected and estimated to revise relevant data from this report during EPWS processes.

Experimental results on DUC2005and DUC2006 benchmark data sets demonstrate the effectivenessof our proposal.
Each task has a gold standard data set and reference summaries.
Table I gives a short summary ofabove data sets.
Tables II and III present the performance of these systems on DUC2005 and DUC2006 data sets, respectively.
Schölkopf,“Ranking on data manifolds,” Advances in Neural InformationProcessing Systems, vol. 16, pp. 169–176, 2004

This trend motivated the development in machine intelligence especially in the field of medical data analysis.
Medical data analysis has been applied to a number of applications such as predicting the state of different diseases, open source software for medical data analysis and also in the pharmaceutical clinical trials etc.
SVM and Boosting have been the favourite methodologies applied for data analysis.
The training data consists of objects categorized into classes used to construct the SVM while the testing data is further used to classify the unknown input.
Here, we make an assumption that the training data is distributed uniformly over.

And there is an initial phase again, and knowledge management of an enterprise of coal of our country doesn't establish to be still complete and makes the resource control of data of an enterprise the structure of the sharing and the administrative function of the central data.
Data source is the basis of the knowledge management system, including the production management information within enterprise and external data and offline data.
Internal production management information stored in corporate operations, including database data in a variety of business and office automation systems include various types of document data.
To mine safety data source example, gas, pressure and the roof, coal dust, water, fire and other natural disasters, factors affecting the production of coal mine safety and the most difficult to control the most important factor [5], it factors in these major disasters the entering point, analysis of its impact on the various data sources of knowledge for the establishment of mine safety management system provides a data guarantee.
If the records of security incidents, analysis, statistics; underground power supply monitoring system data; safety inspectors data; mine environmental monitoring system data.

To use this soil as a subgrade material in the roadway, this soil needs to meet various engineering standard criteria such as deformation, sulfate reduction, strength, and durability for use as subgrade material.
Each mixture was tested three (3) times to provide more precise data, and the average UCS value was computed and analyzed.
After 3-D swelling test, the mixture treated with 6% lime drastically reduced the DC values at 28-day, but the mixtures treated with lime-and-slags had less reduction in the DC values within the same period.

Its functional principle is based on the reduction of the contact shear stress at the sheet surface in the contact zone with the forming tool by means of locally applying a hydrostatic fluid pressure.
Beside technological advantages like increased accuracy of form and dimensions or improved strength, the HBU also allows the reduction of process steps for certain geometries compared to conventional deep drawing [1, 2].
The whole measuring system using the software Diadem, National Instruments, allows the measuring of process parameters, pressures, flange draw-in with high accuracy as well as the process control and analysis of the measured data with high reproducibility.

A test case is designed and manufactured based upon the design data simulated from the algorithm.
Finally, a test structure is presented to validate the design data of the algorithm.
The response and resulting data is presented in the next section.
Figure 9 presents the data of Figure 8 in terms of the excitations’ full time periods.
Empirical Data: An isolator, constant stiffness helical spring, is manufactured according to the stiffness data predicted by the transmissibility algorithm.

Section 4 consists of implementation notes and some synthetic as well as real data examples to prove the robustness of our proposal.
Assuming that our data mapped into F Space is centered such that.
Evidence shows that if the radius of the data set is smaller, the reconstruction error can be reduced (supposed the new coming data and the training data are come from the same distribution).
Fig.1 if is the actual pre-image in input space, but we get it by the combination of training set data and.
Data clustering and learning.

The CSI 2130 portable analyzer was used to carry out data acquisition and signal analysis.
The value of 0.9954 of R-square means that the fit explains 99.54% of the total variation in the data about the average.
The acceleration transmissibility is measured and the curve fitting technique is applied to the experimental data.
The coefficients obtained using the data from the full frequency range are shown in Table 1.
The tests conducted show that such a reduction of the number of experimental data without increasing the standard deviation considerably lead to better curve fitting results.

An adequate ICT solution tool would allow to define a monitoring network for a shared processing of data and results.
This means that data, processing and results are provided by all nodes and accessible to all of them.
Methodologies of Data Collection and Data Processing Different sensors, data mining procedures and neural network-based systems should be selected for general or local monitoring phases: accelerometers, LVDT, strain gauges, seismometers, still cameras, thermocouples, etc.
As an ICT solution it is important to define a monitoring network for a shared processing of data and results.
Herrera, Subsidence damage assessment of a Gothic church using differential interferometry and field data.