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Data were subjected to ANOVA and LSD values at P=0.05.
Variations of L* a* b* data of mushroom with storage time Both value a* and b* increased with storage time, and color degrees of the pre-cooled group were slightly higher than that of the control (P<0.05).
The next experiment data showed that the PPO of the pre-cooled was still lower or was similar to that of the control. 3.4.
The data of membrane permeability of the pre-cooled mushroom was only 34.6% of the control at the third day of cold storage.
[3] He, S.Y., Feng, G.P., Yang, H.S., Wu, Y., Li, Y.F.，2004. .Effects of pressure reduction rate on quality and ultrastructure of head lettuce after vacuum cooling and storage.

ARB processing and characterization techniques For fabricating the ARB composite, high purity Al (in recrystallized condition) and Al with 0.3% Sc (in super saturated solid solution condition) were cleaned, brushed, stacked and preheated at 200 °C for 5 min and then roll bonded by 50% reduction in a single pass.
Data was taken from 196 boundaries and plotted in Figs. 3b-d as a function of the respective boundary misorientation (q).
Fig. 3c also illustrates that some boundaries exhibit a value of ÐND1, ND2 equivalent to their misorientation (the data along the unbroken line).
In Fig 3b and d this situation corresponds to the data along the drawn lines, on which the ÐTD1, TD2 and ÐRD1, RD2 angles are equal to their respective misorientations.
This is more pronounced for the data set of relatively higher angle within the low angle boundary range (10-15° misorientation), as shown in Fig. 4b. 

While modeling with JTopmeret, we should first collect the data information of the system and divide the system into nodes.
Then we draw the simulation diagram in JTopmeret, input the system data information, create the data folder, and then generate JTopmeret source code.
In contrast, the condenser pressure will drop with the reduction of the steam flow.
The simulation data and curves of the system model are analyzed, obtaining the steady state and dynamic performance of the secondary system in NPP.

Therefore, it results in the decrement of layer energy, reduction of dynamic liquid level and production, but the aquifer increment.
System Functions Real- time Data Supervising Workers can directly know the maim parameters in the production procedure, such as oil or water level, boundary and the state of valves.
Alert and querying history trend data Its real-time alert function, pointing at liquid level over high or low, faults of valve reminds operators and ensures the safe production.
Hence, they can guide the operations of procedure and query the history data, providing reference data for optimizing production.

Introduction Energy-saving and emission reduction has become one of the key targets which as the development of steel industry in our country, while efficient recovery and full use of the low temperature waste heat resource is the breakthrough of the future profound energy-saving in steel industry.
The experimental data come from the measurement and control system which is real-time recorded.
Tab. 1 Control parameters of orthogonal experimental condition Condition Particle size /mm Material thickness /mm Air flow rate /(m3·h-1) Inlet air temperature /℃ Ⅰ 10-16 1000 576 50 Ⅱ 10-16 1200 748 70 Ⅲ 10-16 1400 921 90 Ⅳ 16-25 1000 748 90 Ⅴ 16-25 1200 921 50 Ⅵ 16-25 1400 576 70 Ⅶ 25-40 1000 921 70 Ⅷ 25-40 1200 576 90 Ⅸ 25-40 1400 748 50 Data evaluation index.
Data acquisition and processing is used to the body of inlet and outlet of air temperature, flow rate and pressure parameters in the waste heat utilization zone.
Fig. 3 The calculation results of orthogonal experiment Tab. 2 Results of orthogonal experiment Project Factor 1 Factor 2 Factor 3 Factor 4 K1j 299.90 279.25 281.93 279.24 K2j 295.85 283.92 283.56 281.46 K3j 253.64 286.23 283.90 288.69 Rj 46.26 6.98 1.97 9.45 The data in Table 2 shows that K11>K21>K31, K32>K22>K12, K33>K23>K13, K34>K24>K14.

Using this technique will be extended to the Internet from PC 8 bits, 16 and 32 bit micro-controller, and realize based on the Internet remote data acquisition, remote control, automatic alarm, the upload/download files, automatically send E-mail functions and so on, greatly expands the scope of application of Internet.
In industrial automation, compared with the field bus technology, embedded Internet technology make control network and enterprise information management network coordinated operation, realize seamless Internet access, user can monitor site device operation and data anytime by the browser, and diagnose field device and upgrade software in the far.
Embedded processor's clock frequency is low, the address bus and data bus is narrow, it will takes more processor time to process IP packet, so that affecting the implementation of other tasks.
Fig. 3 the architecture of embedded TCP/IP protocol stack In the TCP protocol, in order to reduce the storage space occupied, do not send and receive data into a reliable window mechanism [6].
With either method, you need an appropriate reduction for TCP/IP protocol stack of embedded devices based on their characteristics.

There are also some differences that exist in the data processing capacity, storage space, on-line time and bandwidth between the cloud nodes.
The specific structure of the model is shown in Figure 1: Figure 1 .MRC-Chord model In this model, all ordinary cloud nodes can store (key, value), query and publish the data, can join or leave the network.
All the super cloud nodes not only store data (key, value), but also are responsible for responding to the requests that the ordinary cloud nodes query, publish the data, join or leave the network.
Average routing hops in Chord and MRC-Chord The experiment of average routing delay: Figure 3 shows routing delay comparison between MRC-Chord and Chord, MRC-Chord routing delay is shorter than Chord, and with the increase of the number of nodes, the reduction in the average delay is more obvious.

The perfect data fitting result of GIXRR indicated that interdiffusion at the interface of Pr0.7Sr0.3MnO3/La0.5Ca0.5MnO3 (PSMO/LCMO) could not be negligible; there was a large interdiffusion zone at the PSMO/LCMO interfaces with a thickness of about 7 nm.
For a given set of input parameters for the layers, the calculated reflectivity curve was numerically compared to the measured data and adjusted until the best fit was achieved.The error bars for each fitted parameters were limited within 5% of the corresponding values.
Fitting curve was well in agreement with experimental data for bilayer, indicating that assumed model was credible.
The reduction of interdiffusion could be achieved by lowering the deposition temperature and shortening the deposition time for the top layer.
Nguyen Van Dau, The emergence of spin electronics in data storage, Nature Materials. 6 (2007) 813-823

An appropriate choice of building shape and architectural modifications can result in the reduction of motion by altering the flow pattern around a building.
Pressure data are acquired in six blocks of 4096 samples each at a sampling rate of 400 Hz.

Design and Optimisation of Pressure Vessel Using Metaheuristic Approach 1Sulaiman Hassan, 2Kavi Kumar, 3Ch Deva Raj, 4Kota Sridhar 1Mechanical & Manufacturing Department, University Tun Hussein Onn Malaysia,Malaysia 2Faculty of Science Technology and Human Development, University Tun Hussein Onn Malaysia,Malaysia 3Mechanical Engineering Department, RVR &JC,Guntur,India 4Mechanical & Manufacturing Department, University Tun Hussein Onn Malaysia,Malaysia 1sulaiman@uthm.edu.my, 2kavi@uthm.edu.my, 3chdevaraj@gmail.com, 4kotasridhar17@gmail.com Keywords: - Design optimization, Ant colony optimization Algorithm, Pressure Vessels Abstract: The objective of design optimization of pressure vessels is cost reduction by reducing weight with adequate strength and stiffness.
Note: All are in inch Problem Description A typical input data required to develop a mathematical model for pressure vessel design is Pressure vessel material = SAE J2340 – 830R Where R=High Strength Recovery Annealed 1.