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We will analysis the  supply and demand data collected from housing applicants, optimize the site planning and house graphic design, till draw the construction plans.
Wan Chengxing proposed method through fixing monolithic reinforced concrete structure by analysis of the building structure data model in "Shenyang Subway Lishui Newtown project".
The Conclusion Promoting design and construction efficiency by the data processing and analysis, we could avoid the design defects, pollution and waste of construction.
That is consistent with the policy idea of energy-saving, emission reduction and ecological architecture.
Through this study data record file, we accumulate complete and valuable design, construction,  management experience for the application of BIM technology in the same type of project in the future.

Experimental design and data analysis A three-level-four-factor Box–Behnken design (BBD) was used in this study to find the optimum parameters for the determination Cd(II) ions.
A software package, Design-Expert Version 7.1.6 (Stat-Ease, Statistical Made Easy, Minneapolis, MN, USA) was used for designing and analyzing the experimental data.
Fitting of the data to various models (linear, two factorial, quadratic and cubic) and their following ANOVA illustrated that the determination of Cd(II) ions using the developed BBE-CPE could be appropriately described with a quadratic polynomial model.
Moreover, literature review has described that a good fitting model should attain an R2 value of at least 0.80.19 Considering the very high values of R2 (0.9953) and adjusted R2 (0.9905) obtained here (approached the value of 1), it could be inferred that an almost perfect data fitting was attained (Table 2).
Considering the very high values of R2 (0.9953) and adjusted R2 (0.9905) obtained here (approached the value of 1), it could be inferred that an almost perfect data fitting was attained (Table 2).

Speech data, which is distributed as a typical manifold pattern, can be analyzed and processed in the cepstra domain, since the cepstra data not only maintain consistent with raw data in distribution but also can present some hidden feature information.
Data 1 Data 2 Data 3 Data 4 SDC module SCC module SDC 1 SDC 2 SDC 3 SDC 4 SCC 1 SCC 2 SCC 3 SCC 4 F(SDC) F(SCC) Fig.3.
Toy data Fig.4.
All data in this corpus are recorded from 2052 speakers [8].
Thus, we can hardly establish a perfect Mandarin Chinese model by the data in OGI.

Nonetheless, radiosonde is the only means of high-altitude sounding for a long time, and still in use, which provides important data self-evidently[4].
So it is necessary to correct the SRDB of RH measurement data.
Thus, the solar radiation error of measured RH data should be corrected.
López, Verification of the MM5 model using radiosonde data from Madrid-Barajas Airport, Atom.
Dai, Radiation dry bias correction of vaisala RS92 humidity data and its impacts on historical radiosonde data, J.

This study not only defined the range for Coastal Protection Areas (CPA), but also based on the suggestion of International Strategy for Disaster Reduction (ISDR) proposed the Coastal Vulnerability Index (CVI) and Coastal Vulnerability Level (CVL) fitting Taiwan's coastal environment by 10 factors and the impact of sea level rising.
This study collected the basic data collection and surveys at Pingtung Coast, the coastal properties and environment change impact analysis.
Among of them, spatial location data of variety factors can be arranged by collected GIS database.
(In Chinese) [7] United Nations, International Strategy for Disaster Reduction (UN/ISDR), Living with Risk: A Global Review of Disaster Reduction Initiatives, United Nations Publication, Geneva.429pp (2004)

With the increasingly development of economy in China, economic growth and efficient use of energy is a hot topic in recent years, also China is under pressure of carbon emissions reductions during the process of economic development.
The empirical test on the dynamic relationship between China's energy consumption (coal, oil, natural gas consumption) and economic growth has been studied, which use 1953-2007 annual time-series data [5].
Huo Zongjie, Zhou Caiyun (2010) found the relationship between the structure of energy consumption and energy is causality and analysis on the data with China's economic growth in 1978 -2007, [6].
VAR model built and Analysis Articles selected data from 1978-2012, China's gross domestic product (GDP), the coal consumption (X1), oil, natural gas consumption (X2) and hydropower, nuclear power, wind power consumption (X3), all data sources in the "China statistical Yearbook", the software uses EVIEWS7.2.
When processing the data, GDP in 1978 as the base year to eliminate the impact of price changes, in order to further maintain the stability of data, consider the effects which different variance may exist, namely the logarithm of the four indicators, get LNGDP, LNX1, LNX2 and LNX3.

Data were acquired from 100 kHz to 10 mHz at the rate of 10 points per decade and 5 mV signal amplitude around the OCP.
Compared to TiO2, Sn-doped TiO2 peaks shifted towards higher wavenumbers, suggesting a reduction in the molecular mass.
Based on the XRD data, the FWHM of the strongest (101) peak for TiO2 was 0.5117 rad and 0.6140 rad for Sn-doped TiO2.
Meanwhile, Fig. 7b shows the equivalent circuit used to analyze the EIS data for PVB and PVB + PANI/Sn-doped TiO2 on day 15 and 30.
The influence of the pinhole resulted in the reduction of Rp values while Cc values increased with time.

Shared cache has high access latency without duplicated data problems.
Their study focuses on the partitioning of instruction and data streams, which can be thought of as multitasking with a very short time quantum, and shows that the optimal allocation occurs at a point where the miss-rate derivatives of the competing processes are equal.
Qureshi et al proposes utility-based cache partitioning (UCP), a low-overhead, runtime mechanism that partitions a shared cache between multiple applications depending on the reduction in cache misses that each application is likely to obtain for a given amount of cache resources[2].
(3)The monitor circuits can be extended to compute utility information for prefetched data, which can help in partitioning the cache among multiple demand and prefetch streams
(4)For multithreaded workloads, the monitor circuits can take into account both the variation in utility of private and shared data, as well as the variation in utility of private data of competing threads.

Results As the number of the measured lines were high, a lot of intensity data had to be recorded.
The data were processed by a spreadsheet program.
In Table 6 this reduction is presented for each element in form of relative %.
They were calculated from that data measured at the lowest and highest concentration of the interfering element, at lower and higher analyte concentration.
Looking at the data in this table an interesting picture can be obtained.

The orthogonal least squares (OLS) algorithm[8] and the algorithm for adaptive splines modeling of observation data (ASMOD)[9] are an efficient procedure for learning a parsimonious RBF network.
Sampling interval of the times series is 10 min, and length of the data is 200.
Then, the former 100 set of data are used to train network and modeling, the latter 100 set is used to model verification.
Here, we choose m=3, t=2 and use the former 100 set of data to train network.
Kavli, “ASMOD: an Algorithm For Adaptive Splines Modeling Of Observation Data,” International Journal of Control, Vol. 58, 1993, pp. 947-968