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For the purpose of this study, we extracted literatures using SCOPUS data and the significance of the study was deducted by analyzing the global trend of the research.
Query Number of literature TS=(composite* and CNT and polymer) 2,305 Pre-treatment and basic statistical analysis were conducted on the extracted data, using Knowledge Matrix, which was developed by the Korean Institute of Science and Technology Information (KISTI).
Knowledge Matrix is a program that extracts data from research papers and patent database.
It provides data pre-treatment through reduction and expansion of data, Korean and English noun extraction, and thesaurus and by creating various types of matrix to support network analysis and visualization analysis.
It is analyzed that epoxy resin was being used the most as the polymer material for light-weight composite matrix material, which may be a response to the explosive increase in demand for energy saving and carbon emission reduction through making lighter cars.

The data show a decrease of the S-parameter with temperature down to about 1K and a slight increase below 800 mK.
The only data available have been obtained by Schultz et. al [1] in 1983 and by Troev et al. [2] in 1993 with well annealed Aluminium.
The data show a decreasing S-parameter with falling temperature down to about 1K, but a slight increase of the S-parameter below 800 mK.
This reduction of 1 % is not an effect of the lattice contraction alone.
The S-parameter with external magnetic fields shows a temperature dependence similar to the data at zero field, but at lower absolute value.

The oxidation-reduction reactions of the three hydrazine compounds on the sensing electrode are as follows: N2H4+4OH- → N2+4H2O+4e CH3NHNH2+4OH- → N2+CH3OH+3H2O+4e (CH3)2NNH2+2OH- → (CH3)2NN+2H2O+2e The current produced by electrochemical reaction in the sensor between the sensing and counter electrode is measured and this is directly proportional to the concentration of hydrazine vapors.
Fig.3 The electrochemical sensor The design of electrochemical sensor The principal of the electrochemical sensor is illustrated in Figure 3.The concentration of hydrazine is converted to electrical signal at μA level after oxidation-reduction reaction in electrochemical cell.
Daily data of the gas concentration can be stored or printed by the main processor.What’s more,the output data of the main processor can be sent out to the higher level conmputer unit in the form of series out which not only can monitor the concentrations of the work places, but can control the work of the instrument through computer networks.

The computation results predicted with FE modeling in our paper agrees well with test data available.
In the figure, curve of model F0 represents the case of no local load existing, its computation data corresponds to the time history depicted in Fig.2.
The analysis result verifies that the behaviour of the composite cellular beam under fire conditions is more complex than usually imagines, some factors usually ignored in normal design such as small local load from pipeline’s weight can result in great failure risks of the cellular beams while exposed to fire, that implies the bucking failure around web openings in cellular beams at high temperature cannot simply be estimated by applying temperature-dependent reduction factors on stiffness, as given in codes such as EC3/4 or BS5950.
Through numerical analysis, it is found that local load from duct’s weight can cause apparent reduction to cellular beam’s fire resistant capacity.

The power draw by the agitator and associated inefficiencies with the introduction of external sparged air however poses significant Opex reduction potential.
The data from each experimental data set is then curve fit to the following formula: Power �umber Determination.
Conclusion From a BIOX® process view point the combination Lightnin impeller configuration is superior to any other mixing system tested in the BIOX® process, achieving a reduction power per unit volume as well as reducing the volume of air required to maintain the same sulphide sulphur oxidations without compromising any bacterial activity or gold recovery.

Their training and performance as well as the required data preprocessing are extensively detailed in [10].
To reduce the negative impact on the models, a data preprocessing consisting in normalization and standardization is performed.
The chosen DB is a MongoDB cloud instance where data from different stations is stored as soon as it is generated in the PLCs.
Data is sent from the PLCs to the DB using protocols depending on the machine compatibility (MQTT, S7 and OPC UA).
Communication schema and data flow from the production line to the DT.

The final overall simulation's experimental data verify the correctness of the processor.
Field Programmable Gate Arrays (FPGAs) are growing fast with cost reduction compared to ASIC design[2,3].
The control unit receives signals from the data path and sends control signals to the data oath.
These signals control the data flow within the CPU and between the CPU and the main memory and Input/Output.
Following the reset state would be the instruction fetching and decoding states which will enable the appropriate signals for reading instruction data from the memory then decoding the parts of the instruction.

The effects of noise data to training and recognition were researched.
By collating data the test results of different noise levels under the different training methods are obtained in Table 5.
(2) Combined damage index parameters can overcome the lack of structural damage identification using a single data parameters.
The required data for combination parameters are easily obtained from the measurement of actual engineering structures.
If the sample data are added a certain level of noise, it can also better identify the location and degree of structural damage.

Figure 1 shows different approaches, classified by the operating status of the machine tool as well as the data source.
They use data which can be derived from the controller.
Consequently, some approaches also use controller data to complement the information of external sensors.
In the case of the investigated machine tool, the modules “data acquisition” was not yet completely implemented and the data handling as well as the definition of phases of cutting (see Figure 7, left) had to be done manually.
Teti, A review of tool condition monitoring literature data base, CIRP Annals – Manufacturing Technology, 44 (1995) 2, 659-666

Given the formal context T=(O, F), where ，O is the images data set, N is the size of the data set.
Results on the Standard Image Data Set.
The data set including 80 images including 4 classes and 19 features.
A single subset is retained as the testing data set, and the remaining 9 subsets are used as training data set.
The image data set with n features is described as a feature graph.