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Data Reduction The imposed heat flux q to the boiling refrigerant in the test section is calculated from an energy balance on the water side.
Fig. 2 also depicts the comparison of the experimental heat transfer coefficient data (test tube 1) with the data by Wongwises et al. [3] for the cases shown for a smooth tube.
Fig. 3 depicts the comparison of the experimental heat transfer coefficient data with the data by Bassi and Bansal [4] and Naulboonrueng et al. [5] for the cases shown.
It was found that 90% data were within 20% of the predicted values.
Su for his assistance in taking the experimental data.

The main idea of this systematic energy-saving for an intensive energy enterprise is to analyze and mine the possible energy-saving potential by the data mining from the historical production data which stored in the database of a Distributed Control System(DCS) or in the database of Central Production Dispatch System(CPDS) or the central control center of a big continuous production enterprise, and the material flow data from the database of a Manufacturing Execution System(MES), and the database of other corresponding information application systems.
All the dynamic production data are selected or filtered and then stored into the real-time database (PI for example) from the DCS , PLC,CCS, and the CPDS by the factory/enterprise intranet network.
Based on the accumulating production data in both the real-time database and the relational database, the systematic energy-saving can be implemented in the factory/enterprise level with the data integration of the device production and energy consumption, and will be studied further in the following section.
All the status data of running devices are sampled into DCS,PLC,CCS,CPDS, and then controlled by them in the real production field.
A systematical, feasible and reasonable energy-saving software system should consist of the basic functional modules as: data interface module, the data warehouse module, the energy-saving potential analysis module, etc.

From Fig. 3 a)-h) and table 1, it can be seen that the key structure information of a retinal image mainly exists in the green channel data.
So, only the green channel data were used for Optimization and bottom cap transformation.
The result is identical that either optimization transformation of a retinal image is done ahead and then the green channel data of optimized retinal image are separated or the green channel data of a retinal image are separated ahead and then Optimization of the data of the separated green channel are done, as the data were shown in the two rows in the bottom of table 1 and the pictures were shown in Fig. 3 k) and m).
of retinal image For a good focusing retinal image, such as Fig. 3 a), to use the data of green channel of retinal image still can obtain the better result, as shown in Fig. 3 g). 3.4 Optimization for bottom cup transformation Comparing optimization of bottom cap transformation of green channel data(middle in Fig. 4) with direct optimization of green channel data(bottom in Fig. 4), it can be concluded that the visual quality of the former group are always better than the latter group, seeing corresponding U-IQAF values.
Conclusion The visual qualities of the resulting images for optimizing bottom cap transformation data of the green channel data of the retinal images are always better than for directly optimizing the green channel data of the retinal images, especially for defocusing.

Data mining tasks include data clustering, data association and data classification.
We can combine multiple models that lead to bias and vaiance reductions.
Each of these data sets is used to construct a classifier.
Patients’ data set.
Zhang, Empirical Study of Bagging Predictors on Medical Data, 9th Australasian Data Mining Conference, 121, 31-40, (2011) [8] J.

And the variation rule of numerical results shows very good agreement with the experimental data.
The phenomenon of strength reduction and explosive spalling are commonly observed in high strength concrete (HSC) and high performance concrete (HPC) subjected to high temperature [4-6], which severely threatens the safety and durability of concrete structures.
In order to make the calculation results agree with the experimental data, the same heating curve (see Fig. 1) was used in the calculation and test in this paper.
The tensile stress reaches to the maximum in the center of model. 3) The numerical results and experimental data of temperature field have the same variation rules.

A practical engineering was studied here. analysis of the monitoring data and compared with the numerical results, the analysis showed that the experimental results and numerical results are in good agreement, and the numerical method can be used as an effective means of research.
Finally, combined with an example, analyzed the monitoring data of the project and compared with the numerical results.
Fig.2.4 Radian frequency 32.21rad/s Fig.2.5 Radian frequency 21.47rad/s Fig.2.6 Radian frequency 10.74rad/s Analysis of engineering Example Analysis of monitoring data In process of the excavation of foundation pit, monitoring inner force and displacement of supporting structure.
All above analysis results proved that the numerical simulation is consistent with the monitoring data analysis, and the numerical simulation results can be used to estimate the law of the lateral displacement of pile in foundation construction process.
Mainly engaged in the study of the theory of mountain hazards and disaster reduction technology.

On the basis of the functions of this evaluation system, the main framework of Data Envelopment Analysis (DEA) for the system of evaluating efficiency is also suggested, which is accordant to features of data of accounting in chemical enterprises.
The financial data used in this system is the information about the working of safety resources in chemical enterprises.
The basic unit of Data Envelopment Analysis is Decision-Making Units (DMUs) [4].
The necessary data for method of DEA comes from the financial data chose carefully from accounting information.
With the model (4) of , the availability of safety resources supplied in every chemical enterprises can be evaluated on the basis of accounting input data and output data in one enterprise, and the range of economic risks of safety resources invested in chemical enterprises also be confirmed.

Although arc discharge strength indicates the high ion density of arc plasma, the specific data is rarely reported.
Design of the rapid scanning Langmuir probe system Similar to other probe measurement techniques, continuous improvement in measurement speed and accuracy and reduction in disturbance of measurement object are required in the development process of plasma diagnostic technique.
Steady-state plasma (glow plasma), due to its steady state, can be used to record and collect data at any time, therefore, the static measurement technique is used to measure the I-V characteristic curve of single probe point by point.
Meanwhile, when measuring the IV curves, the arc plasma state is volatile, which will definitely result in greater the error; therefore, the data should be recorded instantaneously, which requires the "dynamic measurement technology" to rapidly scan and measure the I-V characteristics.
Power Integrated Circuit Data Book Volume10.

The artifacts can be compartmentalized to four sorts according to the different exhibition forms: (1) Streaking, mostly caused by the unperfect detector, moving tested object, or data loss worked by metal, etc; (2) Shading, mostly caused by partial volume effect, scatter, or detector lag effect, etc; (3) Rings, mostly caused by detector gain non-uniformity, or unstable response, etc; (4) Cupping, mostly caused by beam hardening (BH).
If we can reduce the energy spectrum width of polychromatic X-ray to provide quasi-monochromatic beams, which consist of not a single X-ray energy but a narrow range of x-ray energies, the projected image quality will be improved from the source, especially have great significance for the reduction of beam hardening artifact.
For the dark field output fluctuations , the data under a local lead shield is accumulated, and the fluctuations on each line is computed and corrected line by line [7].
There are a series of scatter reduction methods reported.
We used noise suppression methods in the process of beam hardening correction included the following three aspects [13]: First of all, simplify the data based on histogram statistics of traversing lengths, which removing noise while ensuring the data density uniformity; Secondly, fit beam hardening curve by a stable fitting function, further enhancing the anti-noise capability of hardening model; Finally, correct beam hardening in order to primarily eliminate cupping artifact while control the image noises at the original level.

From point of view of crashworthiness, the main goal of UAV crashworthiness is minimizing the transferred acceleration to the high cost equipment inside the UAV, hence after the crash we should not lose the data which is collected during the missions.
Their study focused on the reaction forces in the important equipment due its high cost and function, for example, data which is acquired during the surveillance, terrain mapping, and reconnaissance are not to be lost in case of crash.
The next step after conducting the required FE modeling, is to perform many quality checks on the input data, and to carefully examine the output results.
Results and Discussions This study is focused on the analysis crushing response on the most important critical system inside the UAV fuselage which called “payload” due to its high cost and the importance of stored data inside it.
Khalil, "Novel strategy using crash tubes adaptor for damage levels manipulation and total weight reduction," Thin-Walled Structures, vol. 111, pp. 176-188, 2017