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Data and Results Data Collection.
The data needed by indexes is about 11 coastal provinces and municipalities.
Table 1 gave the correlation matrix between the input and output data.
[2] Quanling Wei. data envelopment analysis.
A slack-based measure of efficiency in data envelopment analysis.

Therefore, staffs of HeShan environmental monitor station started monitoring from 2002, and have accumulated large amounts of observed data.
This paper made statistical analysis of precipitation data from the HeShan environmental monitor station, in order to study the time and space distribution characteristics and the and differences pattern, to provide help and theory for acid rain con. 2.
Results and analysis There are 442 observation samples in nearly nine years 2002-2010, and only some of the monitoring data in 2002, 2003 , not monitoring to acid rain in 2002, 2003, 2009, 2010 years.
The data can be seen, the acid rain in the space distribution and urban appear less, the suburbs appear more.
So, one of the effective ways of managing acid rain is pollution prevention and waste reduction work.

Due to uncertainties in the derivation of numerical data and other related information, such as sources of raw materials, the embodied carbon emissions are calculated and analyzed using material emission factors using the Life Cycle Assessment method.
The water industry research strategy has three phases with decreasing priorities based on the reliability of data and information.
Product information was derived from technical data sheets and operating and maintenance instruction manuals.
A level of sparse and/or inaccurate data is an unavoidable feature of such analyses; for example, the sources of raw materials used in identical products from a single manufacturer may vary widely.
Data for the individual processes applied to each component of the pump unit analysed and the CO2 emission developed are not available.

Introduction Data association is the key to target tracking of the multi-sensor multi-target.
Traditionally, the methods of data association are nearest-neighbor data association (NN), probability data association (PDA), joint probabilistic data association (JPDA) and multiple hypothesis test (MHT) etc[1].
Association Model of Multi-Sensor Multi-Target Data Association and Tracking Gate.
The Description for S Dimension Data Association in Multi-Sensor Multi-Target.
For multi-sensor multi-target data association, the PSO algorithm is improved as follow.

Introduction Vehicle weight reduction, cost saving and improved crashworthiness are the main driving forces behind material selection for automotive applications.
Thus, UHSS retains its advantages for weight reduction in welded joints.
In the common practice the simulation of problems involving geometric and dimensional tolerances presents many approximations that make the obtained results considerably different from the experimental data.
Lai - New perspectives for the reduction of dimensional problems in automotive assemblies - 8 th Florence ATA Congress - 2003
Lai et al., 'Weight reduction in automotive applications by using high strength steels: the challenge of a competitive manufacturing', Trans.

In the linear dimensional reduction methods [6] efficient damage predictors EDP’s are supposed to be of the form (4) and the components of the vector are solutions to the following, recursively formulated optimization problem: (5) The methods differs in the choice of the functional , providing the data separation measure.
It is worth noting that since the spread of data due to random effects, i.e. the within class variance, is factored out in the denominator of the measure , it is easier to distinguish different groups of data in the space spanned by the first EDP’s obtained in this way.
The spread of data is most clear in the space spanned by the first two EDP’s FLD_1, FLD_2.
In the case of the PCA method, only the first EDP distinguish data corresponding to different crack length, whereas in the case of Fishers’ method both of the indices FLD_1, FLD_2 improve data separation.
Figure 4: NN (left) and LDA (right) data classification domains.

Under the constraint of CO2 reduction policy, power utilities trade carbon allowance through carbon market according to its CO2 emissions.
CO2 Reduction Constraint.
Basic Data.
The basic data is as follow [7-10]: There are 8 types of candidate power plants, including thermal power, gas power, nuclear power, large hydroelectric power, small hydroelectric power, wind farm, photovoltaic power and biomass power.
(2) The CO2 reduction policy and the carbon market greatly promote the adjustment of power structure.

Chemical composition and hardness test results were carried out on surfaces that were not corroded and the data were used for material verification.
The measured hardness of the steel structure was 113 HV and this data met the hardness of AISI 1020.
The data in Table 2 shows that the average measured thickness reduction was 29.5 % and the highest thickness reduction was 44 %.
It must be noted that the data in Table 2 was taken from 30 spots areas (approximately 20 % from the total areas) and in some areas (10 %) where the thickness were not measured, the reduction in thickness has already reached 100 % as the material has been perforated.
Conclusions and Recommendation From the acquired data, the conclusions that can be drawn are: a) The supporting structure of coal conveyor was made of AISI 1020.

Data collection.
Attribute data measurement from the inspection of porous defects shows the measurement data at position 1.
Fig. 5 The result of the attribute data measurement system analysis Variable data measurement system data was collected by the ANOVA method as shown in Fig. 6.
Fig. 6 The result of the variable data measurement system analysis Analyze Phase.
The data set is normally distributed, Versus Fits graph shows the data set has stability of variance, Versus Order is distributed in a certain pattern, and the residuals have similar values.

Smartphones consume energy to manage their functions, such as receiving and transmitting data, while access networks and core network equipment consume energy to process these signals.
Methodological Approach The methodological approach adopted for the optimal sizing of the PV/Diesel/Battery hybrid system follows the following steps: · Analysis of energy requirements: Collection and processing of consumption data from the targeted BTS site to develop an electrical consumption load profile over a one-year period
System optimization flowchart Parameters of the various energy components The tables below present the data, parameters and constraints associated with the various components of the system under study.
This solution thus contributes to the objectives of energy transition and greenhouse gas reduction.
Comparison of results obtained with existing site energy data The power supply for the BTS site under study consists of a 20 KVA diesel generator, six 3000W rectifier converters and 24 lead-acid batteries 2V, 1200Ah.