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With the reduction of energy consumption, there should not be any sacrifice in quality and quantity of light required as per the lighting codes.
Lighting Design Concepts of Office Building The purpose of office work is the proper collection and handling of different types of data, required for an organisation.
Factors to be considered The following factors should be considered while designing the lighting system of an office: · Type of work done in the office · Type of Computer Screens · Maximum Luminance Values · Availability of daylight in the office · Ceiling Height of the office · Ages of different employees · Colour of wall, ceiling and floor surfaces · Air Conditioned or not · Cleanliness of the office [6] Lighting level recommendations in office buildings Table 1: Range of Service Illuminances in Office [7] Types of Office Buildings/Rooms Range of Service Illuminances in Lux General offices 300-500-750 Deep plan general offices 500-750-l 000 Computer work stations 300-500-750 Conference rooms, executive offices 300-500-750 Computer and data preparation rooms 300-500-750 Filing rooms 200-300-500 Drawing Offices General 300-500-750 Drawing boards

Based on testing data, the paper developed SSHP applying schemes for air-conditioning, heating and hot-water supplying, which can be handy-applied in the urban dwelling community.
The application of urban sewage is very significant for energy-saving and emission-reduction [2,3,4].
Test data were automatic logged by intelligent temperature data logging device.
It is noteworthy that the temperature of sewage in the test is higher than the data provided by reference [1]( 22~25℃).
The reason is that we tested the temperature of the sewage in cesspool in dwelling community in Chongqing in the hottest month and the covering depth of board covered over the cesspool is only 300mm while the data in reference [1] was tested in urban trunk sewer.

Computed frequencies for all primary modes are close to the experimental data.
Such methods are often used as a source of data for verification.
Analysis of the influence of different nanostructuring agents includes comparative studies on data obtained in real and numerical experiments.
The computed frequencies for all four primary modes are close to the experimental data.
Such correspondences (along with XRD data) are important proofs of conformities between unknown molecular structure of nanomodified sulfur material and model of the lattice which is used during quantum chemistry simulation.

The obtained experimental data make it possible to describe the proposed mechanism of phase transformations in alloy Cu62Zn31.6Mn3Al2Si0.8Ni0.4Cr0.2 during crystallization and following cooling.
The obtained experimental data and results of earlier experiments with other alloys make it possible to describe the proposed mechanism of phase transformations in alloy Cu62Zn31.6Mn3Al2Si0.8Ni0.4Cr0.2 during crystallization and following cooling.
Moreover the α-phase is formed.The reduction of temperature leads to desintegration of β-phase by the mechanism β→α+β.

The results of flow data showed that all copper composite mix containing up to 10 Vol.% MWCNTs were successfully injection molding and test samples were produced.
The viscosity of copper mixes was measured using same arrangement of capillary rheometer and data was acquired for four mixes to study the effects of increasing copper contents on the viscosity.
Based on the data, one copper mix was identified for substitution of MWCNTs and the selection was based on the process ability of the mixes.
Viscosity of Copper Powder Mixes Based on the viscosity data of binder sytems, B3 was selected to study the effects of introducing copper powder into this binder.
The viscosity-shear data for mix containg, 59 V% copper, C3 is also illustrated in Figure 5.

The ingot forging process (3D simulation) was simulated with Forge NxT 1.0® according to existing industrial data.
A hydraulic press process was simulated using height reduction and press velocity parameters that were calculated thanks to data supplied by industrial partner, Finkl-Sorel Forge.
Industrial data was analysed and a one hit pass equivalent for upsetting was identified for simulation.
Void closure calculation method Data on triaxiality and macroscopic equivalent strain was gathered using a point tracking technique for the different positions described above.
The FE data was used in volumetric strain rate calculations with Matlab® 2013,as shown in Fig. 5, evaluated using Zhang’s semi analytical void closure model [4], Eq. 5.

Involvement of intra-particle diffusion is also confirmed from kinetic data, which can be attributed to the mesoporous nature of the MIMO.
Data were also fitted to the intra-particle diffusion model in order to explore the contribution of intra-particle mass transport rate in the adsorption process because of mesoporous nature of MIMO.
The data points were fitted by two straight lines and none of them passes through the origin, which indicated the involvement of intra-particle diffusion with boundary layer diffusion.
The equilibrium adsorption data were modeled using various isotherm models like Langmuir, Freundlich, and Temkin.
Second order kinetic and Langmuir isotherm model have shown best fitting with the experimental data.

Improvement of quality results reduction in productivity and vice versa.
The response was modeled using RSM on experimental data.
Experimental data have been furnished in Table 3.
Data have been analyzed based on desirability function (Derringer and Suich, 1980) coupled with Taguchi method.
Paranetric Optimization Experimental data (Table 3) i.e.

Zhang and London (2011) generated a new sustainable development measurement according to the characteristics of construction industry, the availability of data and other sustainable development indicators system which have been proposed before.
This paper will introduce a sustainable development measurement generated by Zhang and London in 2011, according to the characteristics of construction industry, the availability of data and other sustainable development indicators system which have been proposed before [1].
Sustainable development emphasizes technology innovation, efficiency improvement, resource savings and waste reduction [6].
Data and discussion All the data used in this research are from the National Bureau of Statistic of China.
After analyzing the data, some findings are provided.

Combined with the model test data, the nonlinear elastic parameter model between the finish .deformed rebar vertical tensioning force T and the space elastic support stiffness K is established.
The field test process indicates the box girder web finish deformed bars vertical prestressed tensioning force insufficiency rate is nearly 45%, which attributes primarily to the following reasons: 1) Operational errors: For some human reasons the nut torque insufficient and resulting in vertical perestressed tension reduction. 2) The exposed section is too small (<8cm) to take tension operation. 3) Anchor plate installation errors: the angle between the nut and the anchor plate can resulted in excessive loss.
Since there’s so much test data, only a part of test data is presented in the paper as shown in Table 1.
Table 1 Parts of the indoor model test data Exposed section length L/ m Tensile force T/ kN Frequency f/ Hz Stiffness K/ (MN×m-1) Exposed section length L/ m Tensile force T/ kN Frequency f/ Hz Stiffness K/ (MN×m-1) 0.075 123.3 803.75 617 0.185 281.5 368.75 1010 0.086 220 800 811 0.195 94.9 262.5 587 0.09 427.8 831.25 959 0.201 398.4 325 974 0.098 337.1 788.75 1030 0.205 377.2 298.5 865 0.108 336.1 752 1160 0.216 318.4 277 853 0.118 335.7 641.25 1030 0.219 419.1 306.25 1080 0.123 248 571.25 895 0.223 164.2 245 726 0.127 404.2 638.75 1210 0.227 370.2 257.5 840 0.139 388.3 573 1200 0.234 170.5 227.5 711 0.144 127.1 433 747 0.243 160.7 213 689 0.156 329.25 476.25 1100 0.254 132 201 690 0.161 430.4 478.5 1200 0.257 327.6 214.5 811 0.178 440.7 395 1050 0.26 432.4 218 864 From the study and analysis about the stiffness K: 1) K value shows non-linear growth along with the tensile force. 2) Under the same level of tensile force, the first vibration mode f shows the non-linear decreasing
Statistical data analysis the data of fig. 9, get this method test value and extension test correlation coefficient value of 0.98.