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For the units of this class a significant reduction of their surface mass owing to the use of this technology is a decisive factor.
However, the reduction of the amount of applied adhesive leads to decrease in the bearing capacity of the product [12, 13].
Literature Data Analysis and Problem Statement The works [1, 11] state that strength of the joint of the honeycomb core with bearing skins in the adhesive line is provided on three principal areas of action of the various types of stresses.
The proof of the validity of conclusions is the adequacy of calculation models and data allowing to give the quantitative estimate of the effect of the depth of penetration of honeycombs ends in the adhesive on the bearing capacity of their adhesive joints with the bearing skins for the various factors of the bonding process.
Problem Statement and Initial Data The works [13, 14, 24, 27] show that the depth of penetration of the ends of the honeycomb core in the adhesive during molding of sandwich structures is an integral measure of the mode of bonding: temperature and value of the molding pressure.

The ultimate result from specialization is a cost reduction of the product from the improved efficiency.
The implementation of the reliable information system for synergetic manufacturing, is established based on the correct essential data.
The success of the information system is based on the scientific management, accuracy of its handling data, timely process and completeness.
Therefore, one of the key to the success of a reliable information system, is to rationalize the data process flow.
If we focus on data process flow, through connecting various links functionality, we are able to establish information system which is reliable and flexible.

Principal component analysis (PCA) is an unsupervised pattern recognition method, which is the classic feature extraction and dimensionality reduction technique.
But when the multidimensional data in the principal component projection subspaces are very close between different classes, it will easily result in the failure of classification modeling.
Data and Calculations Data.
All of the SELDI－TOF MS data comes from Clinical Proteomics Program, National Cancer Institute (NCI), U.
Each spectrum measured is composed of 15154 data points.

A significant reduction of the lighting load will in most cases result in lower illuminances and might therefore have a negative influence on the occupants’ visual comfort.
These measurement was estimated illuminance automatically and continually per second in few days or two weeks until obtaining the datas of 3 kinds of weather in each office.
Correlation coefficient Correlation coefficient analysis was run on the data using SPSS.
[5] Akashi Y, Boyce P., A field study of illuminance reduction, Energy and Buildings, 2006; 38(6):588-99

A magnitude and phase regulating control scheme (MPRC) is proposed to improve the system tracking accuracy, and a simple error feedforward compensator (EFC) further reduces the feedforward control error that result from inaccurate frequency response data.
Furthermore, the EFC is adopted in this paper to further reduce the feedforward control error resulting from the inaccurate identification of frequency response data.
The frequency response data of the closed loop system can be described as { }1 12 () ()() 121 (,)(0),(),(),,() Nj jj closeN GNAAeAeAe q qq −Ω ΩΩ − Ω=Ω⋅Ω⋅Ω⋅ L (8) whereO i.=2ip /NT , A(O i) and ?
Then the feedforward controller may simply scale the magnitude and lead the phase of each sinusoidal component based on the frequency response data in Eq.8, so that the frequency response of the overall system, i.e., the feedforward controller followed by the closed loop system, becomes unity at that frequency.
Error Feedforward Compensator The MPRC controller is a simple approach to improve the tracking performance of the closed loop system, which is only based on the limited frequency response data and do not have to identify the accurate system model.

We introduce the real dissimilarity among data into the determination of data connection relationship.
In kddcup.data_10_percent package, 20300 pieces of data are selected as training data, among which 300 pieces are intrusion data, the 1.5% of the normal data?
The training data contains all the four types of data.
Data Preprocessing.
For this reason, it’s dispensable to standardize the data before the data cluster analysis.

The latent heat storage techniques utilize Phase Change Materials (PCMs) as a heat storage medium and thus allow for the reduction of the amount of heat storage material due to the high heat storage density per volume or weight.
The match between the experimental and numerical results is very good as the uncertainty of the input data including the boundary conditions was rather small.
There is not such a good agreement between the experimental and numerical data as in case of the plaster without PCMs but the differences are still rather small and they are mostly related to the onset of the phase change of the PCMs.

A new sintering method which considering the heat storage in iron ore sintering processis put forward in this paper.By means of thermal analysis, the kinetic properties of sintering burden with different proportion of coke are studiedand a few kinds ofreaction models are discussed by the liner correlation calculation.The results suggest that the oxidizingdecomposition of sintering burden can be described as a first - order chemistry reaction.Activation energies of three different sintering burdenswith different proportion of solid fuelare determined in this paper,thus can provide data basefor the new sintering method and heat storage model.
The experiment takes the mixture of Fe2O3 and CaO with different proportion of coke as research object to analyze the kinetic characteristics of the mixture by determining the change of temperature and quality of the sinter burden in the process of heating.Activation energy is the minimum energy to ensure the oxidation reaction and can determine itsspeed [4].Activation energies of three different sintering burdens with different proportion of solid fuel are determined in this paper, thus can provide data base for the new sintering method and heat storage model.
Thetemperature range is from room temperature to 1650 ℃ temperature with a rate of 50 K/min.In order to ensure the stability of the samples, the accuracy of the data and the safetyof the instrument, Al2O3 crucible are chosen as the experimentapparatus.
Table 1 Solid decomposition reaction mechanism function Serial number Function name Reaction number 1 PhaseBoundary Reaction n=1 1 2 First-order Reaction n=1 1- -ln(1-) 3 Second-order Reaction n=1.5 ( 1-) 2 ( 1-) - 1 4 Third-order Reaction n=2 ( 1-) 3 ( 1-) - 2 5 Contractive Reaction Contractive Cylinder 2( 1-) 1/2 1-( 1-) 1/2 6 Contractive Reaction Contractive Sphere 2( 1-) 2/3 1-( 1-) 1/3 7 Power Function One-dimensional 1/2 2 8 Valensi Equation Two-dimensional [ - ln( 1-) ] - 1 ( 1-) ln( 1-) +a 9 G- B Equation Three-dimensional 3/2[ ( 1- ) - 1/3- 1] -1 ( 1- 2/3) -( 1-) 2/3 10 Jander Equation n=2 ( 1-) 1/2 [ 1- ( 1-) 1/2] - 1 [ 1-( 1- ) 1/2] 2 11 JanderEquation n=1.5 6( 1-) 2/3 [ 1- ( 1-) 1/3] 1/2 [ 1-( 1- ) 1/3] 1/2 According to the different reaction type of functions to deal with the experimental data, using the regression analysis to compute the correlation of G(a) and.
All the values of, , and can be computed by the data analysis tool of EXCEL.

In this paper, the focus will be on securing the communication channel between tags and readers at the physical layer, rather than to secure the contents of RFIDs data by encryption.
In this paper, we will try to investigate, and explore other alternative to secure the communications channel itself directly, rather than applying encryption algorithms on the data, and then send the content of encrypted information; this will allow us to apply the security at the physical layer of the communication model, rather than data-link layer.
The good advantages of applying this security scheme are significant hardware complexity reduction, improved signal latency and speed up the tag response.
System Architecture and Data Transmission Time hopping can be used in communication for multiple access purpose.
Another advantage shown is that , this technology can generate highly flexible data rate transmitted pulses.

The data show a positive flatband voltage shift for oxygen and methane with respect to the nitrogen baseline, whilst hydrogen shows a negative shift.
Results The data in figures 2 and 3 show the C-V characteristics of the MIS based sensor structures during exposure to N2, 2300ppm of H2, 1800ppm of O2 and 1800ppm of CH4 at 573K.
The data reveals a positive flatband voltage shift for oxygen and methane with respect to the nitrogen baseline, whilst hydrogen shows a negative shift.
The variation in the data in table 1 shows that the HfO2 dielectric based device has a smaller response to the gas ambients than those utilising the TiO2 dielectric.
In the presence of oxygen or methane the data shows evidence of a positive flatband shift.