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Suresh [14] analyzed the effects of lot sizes, set-up reduction factors, cell size, and inter-cell movements in a simulation experiment comparing JS and CM.
The simulation results showed that CM could outperform JS under certain circumstances especially small batch sizes, large set-up time reduction, and large cell size.
Shafer and Meredith [12] conducted research using actual data to compare the performance of JS and CM.
The proposed DSS receives online results from simulator and identifies the possibility for improving performance from real-time simulation data exchange (SDX).
The simulation results illustrate that with limited material handling capacity and opportunities for setup time reduction, MCM can outperform JS and CM.

A reduction of more than 90% in the drying time was identified.
Statistical analysis: All data were collected at least in triplicate.
The WVP data presented in Table 2 presented no statistical difference (p <0.05) between the evaluated films, which makes it possible to infer that, within the submitted parameters, there is no interference of the heating temperature in the permeability of the biopolymeryc films.
Conclusion The changes in temperature and drying time showed a favorable response in the reduction of the contact angle, which shows that it affected the roughness characteristics, also visualized by increasing tensile strength of the dry films at the controlled temperature, which affected by decreasing the roughness.
In general, it can be observed a reduction of more than 90% of the drying time, making its synthesis and large-scale use more attractive.

,control-flow, data-flow, and transactional dependencies).
Generally we assume that each service is specified by its preconditions and effects in the planning context, which can be explained in two ways: Firstly, a Web service is a software component that takes the input data and produces the output data.
Definition5（Reduction）as for the generated composite service, some concepts may appear in its input and output parameter lists (）, reduction is defined to adjust its relative vector.
After reduction operation, the relative vector of the generated composite service is as + + 。

LA was established mainly by Beremin group for solution of tasks associated with statistical size effect, scatter of experimental data and prediction of temperature dependence for fracture toughness [1, 2].
Temperature dependence of the main mechanical characteristics of iron: is a fracture stress, is yield stress, is reduction in area Figure 2.
The value of average strain in cross-section of notched specimen was estimated as follows: , (4) where - reduction in cross-sectional area, is a diameter of neck after fracture, - is initial diameter of a specimen.
For our RPV 15Ch2NMFAA steel the similar analysis is based on the standard CT specimen data.
The results are very close to literature findings, m parameter for 2 parametric local approach was determined to be 7.4, for 3 parametric local approach and data in temperature range <-90, -130> oC the shape parameter gains the value m = 1.9 (at = 1260 MPa).

Influence of Span-thickness Ratio on Arching Action of Reinforced Concrete Frame Beams Chen Ming-hui1, Song Xiao-sheng2, Su You-po2 （1.Tangshan Industrial Vocational Technical College,Hebei Province,Tangshan 063000 2.Hebei Polytechnic Univercity ,Hebei Province,Tangshan 063009） Key word: span-thickness ratio, reinforced concrete frame beams, arching action Abstract: This paper mainly deals with the influence of the variety of span-thickness ratio of beams on arching action of reinforced concrete frame beams through trial experiment research and theory analyzes.By experimental study and theoretical analysis,limit carrying capacity of reinforced concrete frame beams can be enhanced largely owing to arching action.The larger span-thickness ratio of beams is,the lower arching action of reinforced concrete frame beams and limit carrying capacity is,but the reduction is disproportionate. 0 Introduction Reinforced concrete slab on the arching action since the 1950s,many scholars have
Component Number Section size (mm) Net Span (mm) Span-thickness ratio Longitudinal Reinforcement Stirrup Support Mid-span Upper Lower Upper Lower KLK-1 150300 2700 9 3Φ14 3Φ14 3Φ14 3Φ14 φ8@80 KLK-2 150300 4200 15 3Φ14 3Φ14 3Φ14 3Φ14 φ8@100 KLK-3 150300 5700 19 3Φ14 3Φ14 3Φ14 3Φ14 φ8@120 KLK-4 150300 2700 9 3Φ14 2Φ12 3Φ14 2Φ12 φ8@80 KLK-5 150300 4200 15 3Φ14 2Φ12 3Φ14 2Φ12 φ8@100 KLK-6 150300 5700 19 3Φ14 2Φ12 3Φ14 2Φ12 φ8@120 2.3 Observation Design The main observation of this test includes: 1.Observe the relation of the mid-span beams between vertical load and deformation.Because the MTS system can note the dynamic actuator and displacement，it can recordcurve of the whole experiment process; 2.The level of constrainted force on the beam.The level of constrainted force on the beam is bearing the real performance level of constraints,which is one of the key factors that the beam formed arching action,you can set with the test bed at the level of load bearing sensor and record by data
acquisition system; 3.The rotation of constrainted force on the beam.The rotation of constrainted force on the beam is recorded for the test beam rotation constraints bearing situation,you can set with the test bed at the rotation of load bearing sensor and record by data acquisition system; 4.Measure the horizontal stiffness and rotational stiffness.
improvement coefficient of the first group of the beams,the solid line is the improvement coefficient of the second group of the beams.we can see the arching action in the reinforced concrete frame beams,and the existence of arching action can significantly increase the carrying capacity of the frame beams.Through the contrast of the bearing capacity by the factor,we found(Table 3)the first group of the span-thickness ratio raises from 9 to 14, its ratio of limit carrying capacity and calculated carrying capacity decreased by 23.3%; when the span-thickness ratio raises from 14 to 19, reduced 16.1%.the second group of the span-thickness ratio raises from 9 to 14, its ratio of limit carrying capacity and calculated carrying capacity decreased by 24.6%; when the span-thickness ratio raises from 14 to 19, reduced 15.2%.In other words, with the span-thickness ratio raises, the improvement coefficient of carrying capacity decrease gradually,but with the span-thickness ratio raises,the degree of reduction
Fig.4 Enhance coefficient of bearing capacity Table 3 Enhance coefficient of bearing capacity of beams at arching action phase Number Span-thickness Ratio Enhance coefficient of bearing capacity KLK-1 8.85 1.93 KLK-2 14.07 1.60 KLK-3 18.78 1.45 KLK-4 9.00 2.36 KLK-5 14.01 1.92 KLK-6 19.05 1.79 4 Theory results comparison with the experiment results Use three theoretical calculations[4],the theoretical value of the ultimate load compared with the experiment data,the result flows in table 4.Though the analysis and comparison,in order to make the design more safe,we are proposed to calculate the limit carrying capacity by the third method firstly.

The peak shifts toward lower Gate voltage as temperature increases, in agreement with the threshold voltage reduction at higher temperature.
The experimental data are obtained using the setup of Fig.1a, the capacitance is measured between Gate and Source terminals, while a DC bias is applied to Drain terminal, VDS.
The distribution is considered uniform along all the SiC/SiO2 interface [16], since no calibration is performed on experimental data.
This result confirms the behavior found in the experimental data.
Moreover, this result agrees with the threshold voltage reduction with increasing temperature.

The dynamics of cooling water distribution produced by power plant in Paiton district studied by processing the image data of Landsat 8 thermal band using time series data (2013-2015).
Correction aims to reduce the noise in the data.
Radiometric correction on Landsat data covering conversion into a digital value and reflectance radiance values [3].
The data extracted from March represent SST in rainy season, while July and September data represent dry season.
Split-Window Methods for Surface Temperature Estimation from DAIS Data.

Methodologies Variables and data resources.
In this paper, the data of final energy use and loss, coal consumption and total energy consumption came from the Energy Balance Sheet of Shaanxi.
The data of permanent residents and urban population came from population census and changes in population sampling survey.
The data of the real GDP, the added value of the tertiary industry came from the Shaanxi Statistics Yearbook.
The impact of population pressure on global carbon dioxide emissions, 1975–1996: evidence from pooled cross-country data[J].

The data of the base year is the basis for the planning.
Generally speaking, the planning often chooses the closest year with relatively complete data and information.
The task of the control and planning of the total amount of marine pollutant is specifically embodied as below: The government needs to have a comprehensive grasp of the basic data of the nature, society and economic development of the targeted sea area and the region.
In the process of collecting and sorting the data, systematic and comprehensive investigation, analysis and evaluation need to be made on the status quo of the environmental quality and the source of pollution of this area.
The country thoroughly implement the scientific outlook on development, adhere to the principle of combining the control of increment and reduction, strengthen pollution reduction and control work by readjusting industrial structure and optimizing industrial layout.

Cross-section point data of clypeus of dung beetle Copris ochus Motschulsky have been extracted from the 3D scanning data of the dung beetle.
CorelTRACE software to get the characteristic curve data can be utilized.
This method can reduce noise data and interference.
Both lower and higher threshold values would result in interference and noise data.
WU, Constructing Mathematical Model of Cross-section Data Extracting from Clypeus Scan-data of Dung Beetle Copris ochus Motschulsky, J.