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The use of GPS in the hydrographic survey is known to speedup data acquisition, and improve its accuracy and efficiency [16].
In addition, it also made data processing much easier.
The total station was used to capture additional data from the offshore area and also verified the existing benchmarks and established necessary control points.
The data obtained was downloaded into a computer and processed using CivilCAD®.
Regression analysis was performed to estimate the effect of sediment incursion into the reservoirs based on the data presented on Table 5.

However, the difficulty that arises is that the historical simulation method requires sufficient historical data or using GARCH or EMWA modes, as appropriate, to adjust the parameters.
The greenhouse gas emissions data of various businesses involves business secrets such as the development of various products and the amount of production capacity; hence, obtaining an emissions list from companies is difficult.
Consequently, the study period for foreign exchange data, carbon emissions volume, and industry financial data is 2005 to 2009.
The Monte Carlo simulation was used to predict the enterprise’s overall carbon tax and business net profit, which is an improvement over the previous method of evaluating an enterprise’s financial risk caused by carbon reduction because the previous method considers only greenhouse gas emissions inventory data.
Hendricks: Evaluation of Value at Risk Models Using Historical data, Economics Policy Review 2, 39-69 (1996) [5] P.

The COD reduction was significant but to achieve optimum performance further investigation is needed.
The analysis of the data on value change of purified water COD results in the conclusion that the system of biosorption treatment of waste metalworking fluids reached the stable mode of operation regime.
Performing the analysis of the data on the degree of waste metalworking fluids purification, the conclusion can be made that the biosorption treatment is efficient for this kind of off-flows.
The microorganism total count data was stated in colony-forming units (CFU) per 1 ml of sludge suspension [3].
Under these conditions, it was expected that the development of facultative anaerobic bacteria alongside with obligate anaerobes would take place, and the obtained data proved that.

Network security technology ensures secure data transmission in network.
SRAM is a component to exchange data between host CPU and algorithm chip.
SRAM can store data and operation command sequence.
Shift operation is simpler, first shifting, then modulus reduction, only XOR gates is needed and the maximum delay is delay of two XOR gates. 4.
The system processing speed: clock frequency is 123MHz, data width is 128 bit, encryption/decryption speed is 2Gbit/s.

Conclusion Clustering analysis is an important data processing method.
An adaptive rough set fuzzy single pass algorithm for cluster large data sets.
Rough clustering of sequential data.Data & Knowledge Engineering,2007,63(2):183-199
IEEE Transaction on Knowledge and Data Engineering, 2009, 21(7):1014-1026
Reduction of Rough Set Attribute Based on Immune Clone Selection.

Also to determine the depth of penetration of the DG has been developed 2 types of scenarios Scenario 1: Level of implementation of the DG is growing due to the reduction of active power at the terminals of the TT from 3.33% to 33.33% and introduction WG in each load node covers reduction capacity. 
The data obtained during the execution of scripts in the table.
Reduction power produced covered DG (with constant load) Fig. 3 Maximum rotor speed deviation and oscillation duration when the penetration level of DG is simulated according to Scenario II, and a fault is simulated in all possible branches Fig. 4 Maximum rotor speed deviation and oscillation duration of DG implementation in the test system when the penetration level of DG is simulated according to Scenario III and a fault is simulated in all possible branches.
Load growth covered the introduction of the DG (constant centralized generation) or an increase in capacity DG). 2. 2 reduction power produced CG covered by DG (with constant load) It is shown that large power flows adversely affect the damping of the oscillations: the stronger the loaded line, the weaker the connection between the generator and load and the vacillations of the CG. 
Estimation of reduction depreciation charges in power network when DG source is connecting Advanced Materials Research Vols. 1008-1009 (2014) pp 818-822 [4] Reza, M., Slootweg, J.

In order to simplify the task, the article introduces a new proposal based on theory of elasticity, which have a good accuracy, with minimal experimental data needed.
At first the coefficient ka has been derived from experimental data [2], [3], measured on non-loaded specimens for different types of concrete used in their research.
Once the basic constants were determined the deterioration function has been applied to experimental data at various load levels.
Table 1 and table 2 shows the data adopted from scientific papers published by Schneider and Chen [2], [3], and the data predicted by the theoretical model.
Results of the theoretical model and the experimental data are in good correlation.

All the dots represent training data.
Training data that fall within this boundary, denoted by the blue-colored ones are considered good data.
Data Characteristics Location.
The data range analyzed is from January to March 2014, with almost 1000 data points being analyzed.
The equations applied are: (5a & b) Yt is the training data while Ft is the forecast data.

There mainly have two quenching techniques for afterpulsing reduction, passive quenching and active quenching.
Due to the use of a large quenching resistor, the carrier flow through SPADs during avalanche breakdown can be efficiently reduced, resulting in the reduction of afterpulsing.
However, because of this method being required very small , for some of the data points in Fig. 3, the step of hold-off time is not small enough.
Therefore, in order to increase the number of data points and reduce the steps of hold-off time, it is used a 6-order polynomial fit of the data.
The results show that, the new passive quenching circuit has a better performance in the aspect of afterpulsing reduction, which is conducive to achieve high photon detection efficiency for SPAD.

Approximately 30-50% Candida biofilm reduction was noticed in sealant resins containing vanillin compared with controls without vanillin.
In addition, microbiological data have recently revealed that fungal organisms, especially Candida albicans, also took an important part in the pathogenesis of ECC [3].
Biofilm formation of C. albicans on resin-based dental sealants C. albicans 0 Vanillin 0.5 (% w/v) 1.0 5.0 ATCC 10231 ATCC 18804 clinical isolate I clinical isolate II 0.810+0.008 0.781+0.015 0.862+0.002 0.821+0.015 0.547+0.003* 0.563+0.017* 0.516+0.041* 0.520+0.008* 0.489+0.024* 0.504+0.009* 0.473+0.010* 0.480+0.007* 0.413+0.015* 0.427+0.005* 0.420+0.011* 0.418+0.005* data expressed as mean optical density + SD * significant difference from 0% vanillin Fig 1.
Approximately 30-50% Candida biofilm reduction was noticed in sealant resins containing vanillin.
Approximately 30-50% Candida biofilm reduction was noticed in sealant resins containing vanillin compared to controls without vanillin.