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To accomplish this, stage-wise quantity information of life cycle and energy consumption data were established on major materials through theoretical consideration on life cycle assessment.
Actual monthly data was used to compute mean annual data.
Mean annual electricity use and photovoltaic production of unit household in passive apartment were assessed using actual data about additional electricity use with consideration on loss rate.
Equipment used for demolition of building and fuel consumption used for transportation was used as data.
Fuel consumption of demolition equipment according to material quantity was used as data.

Process Modeling Parameters for Deform 3D Modeling conditions generally correspond to the data of previous wear study [12-16].
Let us take process instruction data as the basis: allowable reduction of rolls diameter, amount of possible regrinding, amount of removal and number of grooves at rolls barrels (table 4).
Data for analysis of rolls durability after roll pass design change.
0.36 0.16 0.13 -0.15 0.18 0.44 0.70 0.49 Total, ton 6.47 Data for suggested roll pass design is color marked; Annual roll consumption is calculated for production of 530 thous. ton per year.
Durability of operating grooves corresponds to the data of rolls changing log for the second quarter of 2013.

Based on the obtained data on the effect of interaction time on the removal of Au(III), removal kinetics was then evaluated based on three different kinetics models, i.e. pseudo-first order initially introduced by Lagergren (Eq. 1) [11], pseudo-second order given by Ho and McKay (Eq. 2) [12] and second order composed by Santosa (Eq. 3) [13].
Removal kinetics for data in Fig. 4 was then evaluated based on three different kinetic models, i.e. pseudo-first, pseudo-second, and second orders which are mathematically presented in Eqs. (1), (2), and (3), respectively.
It means the second order kinetics model fittest the removal data with second order removal rate constant (k2) is 3.32 x 102 L/mol min.
With the fact that the second order kinetics model matches better the removal data than the two other kinetics models, it means that the removal of Au(III) from the solution by the adsorbent of HCl-HF-HNO3 purified BA may not only governed by adsorption.
Kajiyama, Reduction and accumulation of Au(III) by grape waste: A kinetics approach, Funct.

In order to select the inflection factor of incident angle, the data of output power have been united by dividing max value for nanopillar and common solar cells individually.
When light beam is not vertical incidence, we can also see eminent reflection reduction.
Figure 3 The diagrammatic drawing of reflection reduction by nanopillar arrays.
Therefore, we can get conclusion that the nanopillars structure plays an important part in reflection reduction.
In order to select the inflection factor of incident angle, we united the data of output power by dividing the max value for nanopillar and common solar cells individually.

In the process of extracting, the extraction value is retrieved by the binary data corresponding to, whether the actual rounded extraction value is -1, or+1.
As shown in table 1, for example, in the process of embedding if the binary data is 00, it is quantized as -6; in the process of extracting whether the actual rounded extraction value is -7, -6 or -5, the extracted binary data is 00.
The embedding procedure is given as follows: step 1: the secret information is converted into binary data first, and then quantized as an integer respectively, according to table 1.
To ensure quantized data matrix is a real symmetric matrix, choose,, and as the embedding bits.
According to the extraction formula (10), let to extract quantized data, and then transform them to be binary data as shown in table 1.

Cameras capture image information from video monitoring site, through compression combined with the wireless network technology, to send data to the monitoring center.
The control center decodes video data the received video data display, realizing the wireless network video monitoring.
Video Compression Module.In the digital video communication, without a huge video data compression, it is not convenient to transmit on the network.
large amount of data and allowing a certain error rate, compressed video uses the UDP protocol to transmit high-efficiency.
The testing data is based on 802.11b wireless network, and with one HUB.

Environmental safety analysis for slope under the situation with and without load on top surface Keping Chen1, a, Jinyuan Liu2,b and Bingxiang Yuan3,c 1School of Geosciences and Info-Physics, Central South University,Changsha, Hunan, 410083, China 2Department of Civil Engineering, Ryerson University,350 Victoria Street, Canada 3School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou,730000, China achenkepingcsu@126.com, bJinyuanliu2011@126.com, cBingxiangyuan21@126.com Keywords: slope; loading; stability; strength reduction; dilation angle Abstract.
The above works are mainly done to analyze the safety factor of slope, while with little consideration of the variation of slip plane as well as the interaction of cohesion, friction angle and dilation angle; so in the present paper, the dilatancy effect of slope under the situation with and without load on top surface are discussed by strength reduction method (SRM).
The safety factor of slope is calculation by strength reduction method (SRM), which is widely applied in numerical analysis [2]; and the convergence of calculation is chosen to define the failure of slope.
So the boundary of these two parts can be defined as the slip plane, and the data of the boundary is obtained by FISH program.
Two-dimensional slope stability analysis by limit equilibrium and strength reduction methods.

The data sheet was prepared and the instruments were kept ready for conducting the experiment.
Table 3 Performance Parameters Description Existing FTL Energy efficient FTL Model TL-D 36 W/54 TL-5 28 W/865 Measured light output [lux] 78.7 69.9 Power consumption [W] 53 W/FTL 32 W/FTL It is observed from the data that the difference in lighting output for the TL-D 36 W/54 and TL-5 28 W/865 FTL is only 8.8 lux which accounts for a reduction of 11.1 %.
This reduction is insignificant compared with the energy saving.
As per the energy tariff data collected from the selected textile industry, the annual bill saving is calculated by applying INR 8 per kWh.
ROI can be calculated using Eq. 7 CO2 Emission Reduction.

We should take full consideration to energy-saving emission reduction in the design of the projects, such as the utilization of solar energy，the use of lightweight thermal insulation wall, the energy-saving windows and doors, the walls and roof greening, etc.
So, promoting the development of green low carbon building is the major measurement to achieve energy-saving emission reduction, protect environment, improve people's livelihood, promote the healthy development of urbanization, and promote the progress of science and technology in the construction industry.
According to statistics data, about 50% of the energy was used in construction industry from all over the world, at the same time humans from the natural world generates 50% of its raw material is used to build the building and affiliated facilities thereof.
Conclusion Developing the low carbon building, advocating energy-saving emission reduction, it should not be only a slogan, but also need to be put into practice.
References [1] Department of China Academy of Sciences.Implement green building to promote energy-saving emission reduction and to improve the living environment[J] .CAS Members & Academic Divisions ,2011(4) [2]Baoxing LIU.

This is related to the data available for those channels in addition to the data available from other channels, excluding channel 8[3]
Strategy is based on data collection where past data associated with water quality parameters is collected.
System Architecture Diagram Fig. 1: Architecture flow Workflow Diagram Fig. 2: Workflow Diagram Technical Modules Used Data Pre-processing Pre-data processing is preparing raw data to process and adapting the data to a ML technique.
Phases of pre-processing data: Data Purification, Data Integration, Data Reduction, and Data Modification.
Fig. 3: Data Pre-processing Flow chart Data Visualization With the help of data recognition, we can see what the data looks like and what kind of relationship the data features hold.