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As a consequence of reduction of nutrient concentration by capping treatment, chlorophyll-a concentration in treated basin was considerably lower than control basin.
Meanwhile, addition of gypsum and complex layer showed 28% and 17% of reduction efficiency of phosphate concentration as compared to untreated basin.
Gypsum increase sulphate concnetration in sediment(data not shown), but not in the water column as concnetrations measured in all water masses were alike(Table 2)
The reduction efficiency of TN concnetration was 45% for gysum treated basin and 11% for sand treated basin, respectively.
As a consequence of reduction of nutrient concentration in water column by capping treatment, chlorophyll-a concentration in treated basin was considerably lower than control basin.

The schematic representation of a neural model Input data on each neural network included temperatures (T1...T10) measured by the sensors placed in the screw and on the carriage of the drive axis (10 input signals).
Since neural networks have a good ability to approximate but poor ability in extrapolation, an appropriate experimental plan was developed, which allowed for collecting a complete set of the required training data.
Testing data was used for controlling the accuracy of the training process.
The set of validation data was not presented to the networks in the process of tuning weights.
This algorithm is characterised by good convergence and is recommended especially for sets with a small size of training data.

AGD channels can lead reduction gas into shaft center, and increase the gas velocity at slots level, but it have little effect on gas distribution at upper part of the furnace.
Reduction gas can be blasted into shaft centre via the AGD channel, which can optimize gas distribution.
One can observe that there is a good agreement between both the data, providing an excellent support to the model.
However, for 2#COREX furnace, AGD channels can lead reduction gas into shaft center, and increase the gas velocity at slots level.
(2)AGD channels can lead reduction gas into shaft center easy, and increase the gas velocity at slots level, but it have little effect on the gas flow distribution at shaft reduction segment

The introduction of the anti-bending dampers is seen as a significant reduction in the bending vibration of the carbody.
More concepts regarding the reduction of the carbody structural vibrations and enhancement of the ride comfort have already been introduced.
The damper efficiency related to the reduction of the bending carbody vibrations rises along with its length.
The introduction of the anti-bending dampers will trigger the reduction in the level of carbody vibrations, due to bending.
[10] C 116, Interaction between vehicles and track, RP 1, Power spectral density of track irregularities, Part 1: Definitions, conventions and available data, Utrecht, 1971.

As more than 80% of China’s electricity is produced by coal, electric bus has equal effect as CNG bus on CO2 reduction.
In this paper, the data of Well-to-Pump is referred from reference [6-9].
The data of Pump-to-Wheel is investigated from China’s typical new energy bus demonstration cities.
All the data for the raw material production stage is from basic energy data statistics.
The data for this stage was got from the investigation in several bus companies.

So, they are continuously leaning towards cycle time reduction in all the processes.
The required data was collected for make ‘current state’ VSM and for identifying opportunities for change.
Fig. 1 Methodology Flow Chart Data Collection and Analysis Current State VSM: The data to create current state VSM were collected from six different work stations with its corresponding VA and NVA timings and given in Table 1.
Similarly the TAKT time was also calculated as per the current data as follows.
Chakraborty and Gautam Majumdar, (2015), “Selection and evaluation of supplier by decision model of hybrid data envelopment analysis”, International Journal of Applied Engineering Research, Vol.10(62), pp.123-127 [25] S.

The rare C-roundabout installations so far implemented in the world have not allowed analysing the capacity by means empirical data.
Even though there are no experimental data specifically referred to C-roundabouts, the effect of pedestrian flow on the lane capacity can be assessed by means of German method [13].
The model includes the determination of a capacity reduction factor M.
In order to define the level of service at each entry, in absence of experimental data (for evaluation of the traffic flows in existing intersections, the image processing technique can be used [21, 22, 23, 24]), valid indications for roundabouts can be given by HCM 2010 (see table 1).
In order to define the delays, level of service and queues at each entry, in absence of experimental data, have been employed the HCM 2010 models for conventional roundabouts.

In conclusion, it is demonstrated that the cathodic reduction of such organic compounds involves formation of stable and unstable intermediates.
We define the collection efficiency on the ring R iN for oxidation or reduction of the product by the following equation %100 .
If, by increasing the electrode rotation speed, we can reach the limiting value of the studied component yield, i.e. not affected by the further increase of the rotation speed, and if, on the basis of independent data, we can estimate disc current density I D for this substance, then knowing the value of nD we can easily find n R from equation (2).
When camphor is added to the solution, the total cathodic wave of nitroferrocene reduction splits into two waves with the first one corresponding to the one-electron process of the initial substance reduction (Fig. 4).
However, in all cases, several independent methods should be used to obtain additional data to assure reliable identification of the new kinds of intermediate products.

Thus the problem of high-dimensional data classification can be solved by first mapping the original data into a lower dimensional feature space that reflects the inherent structure of the original data and holds the useful information as much as possible by dimensionality reduction method and then applying a suitable classifier to achieve fault classification in the lower dimensional space.
The locally linear embedding (LLE) algorithm is one of such representative manifold learning methods, to tackle the nonlinear dimensionality reduction problem, which unravels the underlying data manifold in its reduced space based on the assumption that each data point and its neighbors lie on a locally linear patch of the manifold.
The underlying idea of LLE is based on the assumption that data lying on a nonlinear manifold can be viewed as distributing linearly in a local patch if the data are well sampled and lying on a smooth manifold.
So each signal sample is transformed into a data point in a 1024-dimensional signal space.
The ball bearing data and rotor bed data both are used to validate the proposed approach.

This paper describes the three main steps of the method, namely the acquisition of the earthwork data based on TLS, the pre-processing of point cloud data, the earthwork calculation and accuracy evaluation based on point cloud data.
The fully entity scanning process includes three steps: data acquisition, data processing and point cloud modeling [6,7].
Methods of data processing The scan data is also known as point cloud data.
So the data reduction is also necessary.
It is obvious that interpolation method is not feasible in practice because the point cloud data which include noises are discrete data.