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The association rule mining is a regular method in data mining, which is mainly applied to uncover the interesting association or correlativity among the itemsets of massive data from the transactions database to support medical doctor to accomplish some kinds of decisions.
If the number of transactions for the mass data comparison can be decreased, the more searching operations occur, the more time consumption will be decreased.
Because the larger the data set is, the more transactions can be reduced by the proposed algorithm.
Data mining concepts and techinques[M] Higher Education Press , 2008 [2] Han Jiawei, “Mining frequent patterns without candidate generation”, Proceedings of the 2000 ACM SIG-MOD, Dallas, 2000, 1st-12
[6] FengJing Shao, Data mining principle and algorithm[M] Science press, 2009

Rejection Rate Reduction of the Automotive Thermoplastic Parts in Injection Moulding Using Response Surface Methodology Huei Ruey Ong1,a,b*, Ifwat Mohd Shah1, Wan Mohd Eqhwan Iskandar1, Md.
The R2 of 0.8688 for Eq. 1 was considered relatively high, indicating that there was good agreement between the experimental and the predicted data from this model.
The lack of fit measures and the failure of the model is represented the data in the experimental domain at a point which are not included in the regression.

Therefore, mathematical equations, that represents the respiratory cycle; mechanical components, giving dimension and movement to the simulator; and the electronic components, allowing data acquisition and system control are some factors that must be known and synchronized.
Combined with this the graphical environment simplifies and facilitates the data imput and modification of physiological constants that characterize a given patient, enables studies of various types of physiological situations, as well as to study the influence of many variables in the human respiratory system (HRS) performance.
Therefore, the HRS simulation becomes possible when factors like mathematical equations, which represents the respiratory cycle; mechanical components, giving dimension and movement to the simulator; and the electronic components, allowing data acquisition and system control, are managed.
In the case of expiration, the process involves the relaxation of the diaphragm and intercostal muscles leading to a reduction in the pulmonary area and consequent increase of alveolar pressure.
Hagood, Estimation of airway obstruction using oximeter plethysmograph waveform data, Respiratory Research. 6(65) (2005). doi:10.1186/1465-9921-6-65 [13] E.

Based on the obtained data, plaster made of lime hydrate, diatomite, and combination of water repellent agents can be recommended for renovation purposes.
Looking at the thermal properties data, the observed differences among investigated thermal parameters corresponded to the porosity and mechanical parameters values.
From the quantitative point of view, the thermal conductivity and specific heat capacity data are in the range typical for plasters of similar porosity.
The application of inner hydrophobisation and coating of boiled linseed oil resulted in significant decrease in the water absorption coefficient which means a significant reduction of liquid water transport in the plaster.
Except of a practical application of tested plasters, the obtained data can find use in computational modelling of coupled moisture and heat transport in building structures and components.

Prior to each effusion measurement, a background scan was performed and subsequently the background data were subtracted from the sample data.
The open symbols correspond to data where the initial material was a-Si:H, while the diamonds represent data where the initial a-Si was hydrogen depleted.
The experimental data presented above illustrate that hydrogenation of poly-Si consists of two uniquely different microscopic processes.
According to our data both processes occur simultaneously.
In addition, our data show that the H DOS is dynamic and changes in response to experimental conditions.

As the quality of the simulation is highly influenced by the material model quality, the computational engineers would like to have the best data for these simulations.
However, rather demanding and time consuming experimental techniques and data reduction procedures are required for these dynamic methods.
Furthermore, high data scatter of the measured time-to-fracture values was observed which affects the reliability of the fracture toughness values determined [2].
While a clear decrease of the peak strain values was observed up to 5 m/s, above 5 m/s a small increase with significantly higher data scatter was obtained.
These calculations were performed using time dependent modulus data of the specific polymer.

The emergence of IOT for drugs has provided a very ideal platform for data acquisition, updating, and sharing in quality information management, making the idea of tracking the life cycle of every product emphasized in drug quality management information system possible.
This layer can provide intelligent support platform for upper industry and professional application, by organizing and managing large-scale data effectively and reliably, under the support of the high performance computing and mass storage technology; the major technology employed include cloud computing, database and mass storage, information retrieval query, artificial intelligence and information security protection
Hence, when the drug products come into the market, complete file data has been formed in perception management center database.
Calculation nodes are mainly responsible for direct management (data acquisition, the sensor configuration, time calibration, and range designation control, etc) of sensors (information source); the network is responsible for the communication of each calculation node and control center.
Application models include database, knowledge base, domain model and its reasoning, providing the dynamic data and function related with schedule and control coordination strategy.

Experimental Verification Available experimental data on mechanical behaviour of brittle rock-like materials made it possible to verify experimentally the validity of the theoretical model proposed.
The other theoretical curves for bi-axial compression shown in Fig. 1 were obtained directly from Eq. 3 and Eq. 4 and no additional experimental data were necessary.
However, the technical problems faced when testing brittle rock-like materials under tri-axial state of stress resulted in rather limited amount of the respective experimental data.
Experimental verification of the theoretical model proposed was obtained by employing available experimental data for sandstone and for concrete subjected to multi-axial state of stress.
It was found that theoretical stress-strain curves for bi-axial and tri-axial loading obtained from the relevant equations shown in this paper agree with experimental data.

The problem of solving Z transformation factor is equal to solve for the coefficients of the Prony polynomial.Auto-regressive model of the impulse response function data series is constructed to solve for the the coefficients of the Prony polynomial as the coefficients is equal to the auto-regressive coefficients.The linear equations composed by autoregressive coefficients can be formed by collecting data from different starting time in the response sequence.
2.4 ARMA model for time series analysis ARMA model for time series analysis method is a modal parameter identification method which processes orderly random vibration response data through parametric model.The parametric models includes autoregressive model,moving average model and autoregressive moving average model(ARMA model).In 1969 Akaike H used the auto-regressive moving average ARMA model Experimental Comparison The main goal of this work was to compare the experimental and operational modal testing approaches in an experimental way.
The cross-correlation function obtained by the natural excitation method was used as input data to the further modal parameter identificaiton using ITD method ,STD method,CEA method and ARMA method respecitvely.The natural frequency and damping ratio of the SF6 current transformer was obtained within the range of 0Hz to 33Hz.All the pseudo modes were excluded.The modal identification result using the four methods mentioned above was listed in table2.
Table.2 The comparison of modal parameter using EMA and other methods ITD method STD method CEA method ARMA method EMA order Frequency (Hz) Damping ratio (%) Frequency (Hz) Damping ratio (%) Frequency (Hz) Damping ratio (%) Frequency (Hz) Damping ratio (%) Frequency (Hz) Damping ratio (%) 1 3.85 0.58 3.84 1.50 3.83 0.99 3.84 1.49 3.84 2.07 2 31.64 2.22 31.24 1.39 31.27 1.42 31.24 1.40 31.50 4.02 Conclusion This paper presented the modal parameter identification of 500kV SF6 current transformer with the application of natural excitation method(NExT) and made a comparison between experimental modal analysis with NExT .Both of the techniques were compared in an experimental way by using a set of response data with different way of excitation.After comparing the identified modal parameters, a number of conclusions were drawn. 1.
(in Chinese) [3]Guillaume P,Hermans L,Van Der Auweraer H.Maximum likehood identification of modal parameters from operational data;processings of The Proceedings of the 17th international Modal Analysis Conference(IMAC17),F,1999[C] [4]James III G H,Carne T G,Lauffer J P.The natural excitation technique(NExT) for modal parameter extraction from operating structures[J].The International Journal of Analytical and Experimental Modal Analysis,1995,10(4):260-77

(2) Laid the empty container on the stands, read and recorded the displaying data(G1) of electronic scale
(4) Laid the container which filled with fresh concrete on the stands at a uniformly speed in 5 seconds (we could also set some effects such like keeping still or vibrating for a period of time if necessary before this step) and record the electronic scale’s displaying data (Gx) soon
Fig.2 The ready device (4) Superplasticizer and viscosity modifier: The polycarboxylate superplasticizer was produced by China Construction Ready Mixed Concrete Corporation, its solid content was 10% and water reduction was 13.3%.
The test data and notes were listed in Table 3.
According to the data and notes of C30-2, C30-6 and C40-4, segregation happened and the concrete would have poor homogeneity and workability if its Cv≥1.10, oppositely, the other samples showed the concrete would have preferable homogeneity if the difference between Cv and 1 less than 0.10.