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Research Methods The analysis of this study was based on data obtained from questionnaires.
In contrast, the reduction of the number of parts in the product (c20) has less influence as the respondents appraised this with the lowest mean score value of 4.98.
As for SCP, the performance is influenced by the ability to increase the quality of product, and reduction of non-value added activities.
This subsequently leads to reduction of non-value added cost of the production operation, and increase the business and the environment [5].
Item Sustainability in Environmental Performance e1 Increase recyclability activities e2 Use recycle material in product & process e3 Increased reusable, non-toxic & bio-degradable materials e4 Increase amount of recycled components e5 Increase amount of recycling of packaging materials e6 Adapt reuse & recycling in design e7 Use eco-friendly material e8 Increase usage of renewable material e9 Increase practice, management & performance in environmental e10 Establish material & energy consumption reduction programmes e11 Decrease energy consumption in the process e12 Establish pollution prevention & reduction control e13 Increase the opportunities of preventing pollution e14 Reduce emission of substances & control e15 Reduce the waste of materials e16 Established waste reduction & energy efficiency programmes e17 Use easily degradable chemicals e18 Consider the direct environmental effect on operation e19 Better environmental management and control 3.

In the spaceΓ, C=（X’ X’T） is the covariance matrix of the sample data
SVM can map the data to a high-dimension feature space by using a nonlinear mapping.
Schematic diagram of SVM The Experimetn and Result Analysis We use the data published by American Moving and Stationary Target Acquisition and Recognition program[7] as experiment data.
The data in depression 17° are used for training and the other for testing.
SVM classifier applied to the MSTAR public data set[J], SPIE 1999 3721 355-360

Artificial Neural Network (ANN) technique has also been used to recognize a pattern in the given data by training itself.
The hybrid model has been validated with measured data of about 1000 coils.
The models have been validated with data collected from industry.
Back-propagation uses supervised learning in which network is trained using data for which desired outputs are known.
The software takes input data from a SQL Server database, calculates the roll force by Sims method.

The simulation on the real measured data is carried on.
Filtered gyro signal of azimuth and elevation (solid: before filtering, dashed: after filtering) After filtering the azimuth gyro’s random error is , elevation gyro random error is .It can be seen that large number of mutations in the output voltage data reduction, data changes more continuous, which is more realistic process; contrast random error size before and after filtering, the Kalman filter designed in this paper can reduce random errors included in the output voltage of azimuth, elevation gyro, increase the accuracy of the gyro output, thereby improving the ship’s shaking isolation.

Incineration-power generation is making the combustible matter in garbage for incineration treatment by incinerator, which eliminates large amounts of harmful materials in garbage through the high temperature incineration, to achieve the purpose of harmless and reduction, meanwhile, it uses recycled heat energy to supply heat and electricity, to realize the beneficial utilization of waste resources[1].
The Technology Advantages of Industrial Residue Incineration Power Generation Environmental Aspects. 1) Volume reduction effect is good.
The burning boiler replaces the original 5 x35t / h medium temperature and medium pressure chain type boiler which is inefficient and high pollution, and the project with high efficiency bag filter can play the effect of energy saving and emission reduction.
the project Serial number Project Unit 1×130t/h+1×C12 average 1 Heat load 0.98Mpa t/h 50(151GJ/h) Heat load 3.82Mpa t/h 22.33(74.47GJ/h) 2 The evaporation capacity of boiler t/h 130 3 The inlet steam volume of turbine t/h 107．67 4 The standard coal consumption rate of heating kg/GJ 43.98 5 The standard coal consumption rate of power generation g/kWh 480 6 The power consumption rate of power plant % 5.5 7 The power consumption rate of heating kWh/GJ 6.303 8 The power consumption rate of Integrated plant % 17.3 9 Annual heating capacity GJ/a 1623.38×10³ 10 Annual generating capacity kWh 0.864×108 11 Annual power supply capacity kWh 0.715×108 12 Annual consumption volume of standard coal t/a 143280 13 The standard coal consumption rate of power supply g/kWh 508 14 Annual utilization hours h 7200 15 Heat-to-electric ratio % 313.6 16 Thermalization coefficient 100 17 The thermal efficiency of the whole plant % 58.48 18 Annual standard coal saving t/a 115488 According to the relevant data

The typical rigid multilayer PCB contains many manufacture processes, including PCB data acquisition, preparation of PCB laminate (core), inner layer image transfer, laminate layers, drilling and cleaning holes, outer layer image transfer, surface finish, final fabrication, etc.
It is expected to benefit process, failure analysis and quality engineers understanding the failure mechanism and seeking for corrective solutions on improving PCB quality. 2 Typical Failures 2.1 Via-hole Failures When size reduction and high routing density on the PCB becomes importance, HDI technology is commonly adopted in portable electronic devices.
Galvanic attack is caused by the reaction of entrapped plating solution[9], in a crevice with limited silver ions supplied (due to the physical restriction of the crevice opening), etching the copper to provide electrons for the reduction of silver onto the copper surfaces outside of the crevice as shown in Fig. 4.
Corrective actions include optimization of the glass surface finish, reduction of ionic contamination in resin, optimization of the copper surface preparation process, improvement of bond between glass fiber and resin, etc.

In view of the above-mentioned facts severe vibration and noise problems, it is necessary for the un-constructed structure to execute structural dynamic analysis and vibration reduction.
In this paper, the dynamic responses of the structure are analyzed and propose structural optimization and vibration reduction programs to reduce the vibration of the structure, and it is important for extending the life of the structure and improving the working conditions of workers.
Project Overview and Model Reduction A coal gas plant is composed of concrete and steel structure, the main structure take shape of a rectangular.
Fig.2 Maximum response of each floor under rectangular periodic excitations According to aforementioned data, the parameters of the magneto-rheological fluid damper are designed in following: the viscous damping coefficient of the magneto-rheological fluid damper is and the maximum Coulomb damping force is 480KN, the multiplier of adjustable damping force is s=8[8].

It was evident, when comparing the data, that in the harder materials the coated wheel typically ground with an average 5% reduction in grinding forces, whereas in the softer more gummy material, the grinding forces decreases by as much as 10 to 15% (see below). 0 5 10 15 20 0 10 20 30 40 50 60 70 80 90 100 110 120 Volume of material removed cm 3 Percentage reduction in the normal force.
This time Fig. 1 Volume of material removed versus percentage of reduction in the normal force the grinding fluid was a premium semi-synthetic, water-based fluid.

By increasing the anode quantity in the anode basket, significant reduction of use of tin (around 44%) is possible.
This new design was able to prolong the life of the anode and this lead to cost reduction in the long run.
Focke, New Jersey: Wayes Data Corporation, (1990)
[9] Grandeza, N. and Bancud, A., “Chemical Cost Reduction at the Plating Section Through Effective Utilization of the Soluble Anodes”, ASEMEP 2001 Proceedings; June, (2001)

Recently, a significant reduction in deep level defects and improvement of carrier lifetime have been observed in 4H-SiC epitaxial layers with shallow ion implantation layers and subsequent annealing above 1600 ºC [1].
The reduction of deep level defects underneath the implanted layer has been attributed to the diffusion of carbon interstitials (Ci) from the shallow implanted layer.
The reduction of deep level defects and improvement of carrier lifetime were attributed to annihilation of carbon vacancy-related defects by in-diffused Ci.
There are some undefined CL lines (spectral data are not shown).