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In addition, Birnessite has been widely used as secondary battery materials (especially Li-birnessite), catalysts for oxidation-reduction processes, environmental protection, advanced separation technology, adsorption material and so on.
Synthesis of Birnessite can be achieved by the oxidation of Mn2+ in basic solutions, by the reduction of MnO4- in acidic solutions, or by a redox reaction between Mn2+ and MnO4-.
X-ray powder diffraction (XRD) data were taken Bruker D8 diffractometer equipped with CuKα(l=0.1541 nm) radiation operating at 40 kV and 40 mA for 2θ angles ranging from 1.25° to 80° with a step interval of 0.2°.

In this paper, we deeply investigate several commonly used dimension reduction methods and human detection models.
The suspected shadow has the characteristic of brightness reduction and little tonal variation [6].
At last, it should be post processing with regard to some misjudgment data.

The main methods adopted in the flow straightening and turbulence reduction system include the use of wire-mesh screens, honeycomb and contractions.
For the acquisition of experiment data, a cobra probe was used to measure the fluctuating wind speed.
Fig. 6 and 7 show that for the same L/D ratio, the longer square cells exhibited more mean wind velocity reduction.

Under the creep-fatigue interaction, the main cause of life reduction is the initiation and growth of microvoid with increasing hold time.
As shown in Fig. 1, a new parameter of backscattered Rayleigh surface wave, SDA, the slope of decaying amplitude, γ, was introduced in order to correlate backscattering data to materials degradation.
From the experimental data, the following relation given by Eq. 1 was obtained.
As is obviously represented in Fig. 3, the lines given by Eq. 1 fit the experimental data reasonably well.

Usually, we can obtain high resolution terrestrial data by means of promoting the angular resolution when the distance is certain.
And usually in raw data, there are a great many error points, virtual points and false points that must be filtered and cancelled.
But for the large landslide, because of the huge data thecreation of HRDEMs can be divided into several parts.
By means of this processing, the speed of data analysis is promoted sharply, but the density of terrain points degrades sharply too.
Merging and processing of laser scan data and high-resolution digital images acquired with a hybrid 3D laser sensor.

And the data selection is a key factor when we discriminate sand liquefaction.
The shortage of codes is evaluating the site liquefaction according to the data of points.
The purpose aims to promote earthquake liquefaction discrimination, to provide data for the mechanism of earthquake liquefaction.
Table 1 The statistics parameters of the project formation Formation number Soil name Shear wave velocity (m/s) Longitudinal wave velocity (m/s) Ratio Dynamic Shear modulus (MPa) Dynamic Elastic modulus (MPa) Dynamic poisson ratio <1> Artificial filled soil 758.9 179.2 4.23 67.20 197.39 0.4698 <3-1> silty sand 789.7 202.7 3.90 79.61 233.15 0.4647 <3-2> coarse sand 869.0 225.5 3.85 94.67 288.92 0.4639 The project formation is divided according to the results of the test data.
(2) The shortcoming of codes, which using a point data shows the area characteristic, should be strive to eliminate using suitable way to choose data even if accepted the same code to distinguish earthquake liquefaction.

This system includes multi-source heterogeneous data source module, data preprocessing module, datamining module, rule matching module, situationassessment module and trend forecast module. 1) Multi-source heterogeneous datasource module: the multi-source data are acquired by multiple sensors,including the audit logs,the application log, checksum data and network packets. 2) Data preprocessing module:this module includes the process of data cleaning, data integration,data extraction,and data conversion. 3) Data mining module:this module uses PFT-Apriori algorithm for mining association rules. 4) Rule matching module:this module does real-time matching according to the rule base, and sends the matching results to the situation assessment module. 5) Situation assessment module:this module sends the assessment results back to the rule base, realizes the dynamic update of rule base, whlie the rule base sends updated rules feedback to the rule mining module, implement the consitency of
Figure1.Cloud security situation awareness model based on Data Mining Association rules analysis A.
Association Rule Association rules [3][7]is an important algorithm in data mining,which is used to find the dependent or associated issues in the data sets.
Filtering infrequent itemsets reduces the digits of the binary data and compresses storage space; Using the binary form reduces storage space and I/O operation times; Data segmentation reduces the index layers and improve the query speed.
Sodh,“Improving Efficiency of Apriori Algorithm Using Transaction Reduction,” International Journal of Scientific and Research Publications, Vol.3, Issue.1, January 2013, pp.1-4

A Study of Cooling and Heating Energy Reduction Effects for Applying of Blind-integrated Window System in Buildings Bo-Hye Choi1,3 a, Gyeong-Seok Choi2,b, Jae-Sik Kang1,c and Seung-Yeong Song3,d 1283, Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si, Gyeonggi-Do, 411-712, Korea 2Corresponding author, 283, Goyangdae-Ro, Ilsanseo-Gu, Goyang-Si, Gyeonggi-Do, Korea 311-1, Daehyun-Dong, Seodaemun-Gu, Seoul, 120-750, Korea aarchiefa@naver.com, bbear717@kict.re.kr, cjskang@kict.re.kr, darchssy@ewha.ac.kr Keywords: Blind-integrated window system, Cooling energy consumption, Heating energy consumption, building energy Abstract.
Table 1 General description and specification Classification Room 1 Room 2 Room area 8㎡ 8㎡ Composition Blind-integrated window system General window system Glazing specification outside 5CL+27Air+5CL 6CL+12Air+5CL inside 5CL+12Air+5CL 5CL+12Air+5CL Fig. 1 Indoor appearance of test room 1 and room 2 Table 2 Measured items and device Measured items Measurement device Use Temperature T-type thermocouple sensor Indoor temperature Glazing surface temperature Data logger Data Logging Energy consumption Watt-hour meter Electricity consumption Load heat flow sensor Heat flux indoor temp. maintenance Air-conditioner / Heater Maintaining indoor temperature 2.2 Test methods To measure the cooling energy consumption of the blind-integrated window system in summer, an air conditioner was installed in each test room.
Fig. 2 Indoor temperature-measured position in prototype Fig. 3 Indoor/outdoor surface temperature-measured position in window Results of evaluation on the characteristics of cooling energy consumption 3.1 Results of measurement of surface temperature To analyze differences of inner & outer surface temperature of glazing between the general and blinded-integrated window systems, data collected at the maximum load (14:00-16:00) and minimum load (02:00-04:00) have been analyzed.
Fig. 4 The measurement of results of indoor/ outdoor surface temperature in summer Fig. 5 Date-specific electricity consumption in summer Results of evaluation on the characteristics of heating energy consumption 4.1 Results of measurement of surface temperature To analyze differences of inner & outer surface temperature of glazing between the general and blinded-integrated window systems, data collected at the maximum load (14:00-16:00) and minimum load (02:00-04:00) have been analyzed.

The main reasons for efficiency increase and emission reduction are not, as often proclaimed, energy costs, but the demands of customers and legislators for low carbon emissions.
Only a radical reduction of the environmental damage would lead to burden, that is lower than the regeneration ability of the earth. [3;4] This environmental burden is the summary of lots of influencing factors.
Improving resource efficiency pursues the three goals: The first goal is the reduction of the resource input.
The energy value stream extends the value stream by data on energy consumption of each item in the value stream, i.e. the single machines.

In order to improve the understanding of the rheological behavior of magnesium alloy AZ31B under multi-stage hot deformation, a series of isothermal compressing experiments with height reduction of 60% were performed at the temperatures of 250℃, 300℃, 350℃ and 400℃ and the strain rates of 0.01 s−1and 0.1 s−1 on a Gleeble 1500 thermo-mechanical simulator.
Therefore, adequate deformation at the first-stage is benefit to the reduction of deformation resistance at the second-stage.
The reason is that critical strain required for DRX at the second-stage reduces due to the presence of residual stored energy after the first-stage deformation and deformation interval. 3) For the multi-stage deformation of magnesium alloy, adequate dynamic recrystallization and static recovery can be obtained by increasing the deformation degree at the first-stage or the deformation interval, which leads to early initiation of dynamic recrystallization, reduction of deformation resistance and improvement of plastic formability at the subsequent-stage.
[8] Guo-Zheng Quan, Yu Shi, Yi-Xin Wang, Beom-Soo Kang, Tae-Wan Ku, and Woo-Jin Song, “Constitutive modeling for the dynamic recrystallization evolution of AZ80 magnesium alloy based on stress-strain data”, Materials Science and Engineering A, Vol. 528(2011), pp. 8051-8059