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Under current situation, with high labor cost and energy cost having an impact on production cost, the need for cost reduction in the industry is extremely of concern.
This research demonstrates application of the lean supply chain for cost reduction in the industry.
Methodology Four main steps are involved in this research: First, a study on the current state of the rubber glove supply chain using data collected in southern Thailand - logistics cost is classified in this step; Second, identification of NVA activities with the purpose of reducing the wastes in the supply chain, NVA activities with higher logistics cost are chosen for further analysis; Third, analysis of the causes of NVA operations and investigation of countermeasures against them; Fourth and final, proposal of practical guidelines to reduce those wastes. 3.
Based on data collected in this study, VSM of rubber glove supply chain is developed in Figure 3.
On the total cost, inventory reduction in the supply chain should be focused on the rubber glove industry.

Not only engine efficiency control but also energy saving and emission reduction could be realized.
According to the research methods of system optimization and multi-sensor data fusion technology, this paper introduces the research on multi-sensor data fusion technology based on multi-value logics.
Basic Principle of Multi-value Data Fusion 2.1 Modeling of Multi-value and Multi-sensor Data Fusion Data fusion technology is the basic method, technology and means to study the acquisition, transmission and processing of multiple information in the field of information science, a technology of information expression and also the significant basis of a new generation of intelligent information technology[4-5].
In tree structure, T-operator applies classified control over data samples starting from leaf node and divides data samples into different data control levels according to different results; The condition of decision tree structure not only affects classification efficiency, but also affects classification accuracy, the simplicity and accuracy of the rule extracted from the decision tree.
Conclusion In conclusion, the application of multi-value T-operator data fusion technology can effectively realize rapid and efficient data processing and contribute to system fusion and optimization, thus to improve automobile engine efficiency, realize energy conservation and emission reduction, provide safe control functions, increase new control functions of electronic automobile system, bring new applications to intelligent automobiles and realize new development in multi-sensor fusion technology and optimization control.

Experimental Research on Energy Conservation and Emission Reduction of LPG Vehicles Aimin Fan 1,a, Lianghong Zhao 1,b, Xiaolei Zhang 1, Fei Wang 2 1 Electromechanical Engineering Department of Shunde Polytechnic,Foshan328300,Guangdong province, China 2 Foshan Powergate Energy Developing Co., Ltd., Guangdong province,China aemail:fam99999@163.com, bemail:zhaolianghong@163.com Keywords: LPG vehicles, buses, synergist, energy conservation and emission reduction Abstract.
This thesis makes a comparative experimental research on the vehicles through adding a proper amount of CPG-4 synergist to the fuel of the LPG vehicles so as to ameliorate their combustion performance and reach the purpose of energy conservation and emission reduction.
At the same time, low nitrogen combustion state can be formed, because with the energy field of the exclusive charges and supplemented by the reduction characteristics of the selective ends of the roast, the emission of NOx is reduced.
In order to ensure the reliability of the test data, the test is made respectively at the sites of the many authoritative testing institutes such as the Automobile Parts Test Center (Guangzhou), Thermal Mechanical Engineering Technology Institute of South China University of Technology (Guangzhou), Transport Vehicles Comprehensive Performances Test Station of Tianhe District, Guangzhou, Guangzhou AnXun Automobiles Testing Service Co., Ltd., etc.
(3) The effect of using CPG-4 synergist to reduce the HC emission is obvious, with the reduction rate of more than 50%

Dunteman (as cited in [41]) stated that PCA decomposes the original data into a set of linear variates.
Labib and Vemuri [45] studied the dimensionality reduction of vectors to enable better visualization and analysis of the data.
In sports, PCA is used as a multivariate technique to manage big data [50].
Experimental Setup and Data Collection Three sets of experimental ponds were constructed with varying locations of the points of initiation of hydraulic jump.
[10] Saqqar MM, Pescod MB (1992) Modelling coliform reduction in wastewater stabilization pond.

The measured data of CO, CO2 and waste heat expelling to environment were keeping the same, but actually they were low down when considering the total volume of inlet air diminished by 10%.
In this study, the average fuel consumption as well as combustion exhaust emissions will be measured, all positive effects of burning efficiency and emission reduction will be perceived from those related data.
The main purpose of this study is to confirm the reduction of fuel consumption after the spoiler was installed.
In order to let the measuring data have conjunction with real, the furnace with a light duty burner for zinc alloy casting is used.
When measuring the fuel consumptions for burner with different types of spoiler, the emissions including CO, CO2, O2, SOx, NOx and the tail pipe temperature are measured at the same time, from those data, the reduction of waste gas as well as waste heat emissions can be obtained to compare with the fuel saving trend for burners with and without installing the spoiler.

Aluminum Reduction Cell’s Fault Monitoring Based on LS-SVM Shuping WANG1, Yajing SONG1, Hui WANG2 1Shandong Water Polytechnic, Rizhao Shandong 276826, China 2Shandong Taikai Transformer Co.
Fault feature extraction of characteristic vector (1)Aluminum electrolysis fault feature analysis Through the comparison of electrolytic tank under normal and fault data, and groove resistance spectrum analysis, we found that in normal electrolysis aluminium,liquid undulation, or low electrolyte containing anode block and an anode long bud under four different conditions, the frequency and amplitude of the position groove resistance are different, with 5 minutes for a cycle of cell data analysis, can be shown in Table 1 different slot status characteristics in frequency domain.
The frequency band energy accounts for the percentage of total energy and total energy spectrum, this algorithm for support vector machine, sampled data generalization is important, considering all kinds of electrolytic cell situation difference degree, in order to avoid wide input range than the range of small input quantity occupies the superiority, so here on the the total energy spectrum are normalized
(2) Logarithmic transformation, is given as follows (3) Inverse cotangent function conversion formula In the experiment, firstly use inverse cotangent function conversion makes the total energy spectrum is normalized, and then the diagnostic sample was divided into training samples and test samples, all kinds of condition number of samples are shown in table 2: Table 2 Selection of Samples condition normal anode tsuga lower polar distance fluctuations in liquid aluminum training samples 60 45 25 25 test samples 20 20 15 20 Different state of the training data as shown in table 3: Table3 Some Sample Data Total energy A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 Category 240 3876 844 577 518 639 677 105 209 151 617 1787 1 3076 300 776 4986 2508 869 51 59 34 20 130 268 2 170 2516 874 494 250 1132 787 894 498 155 659 1741 1 2047 629 443 6564 1550 104 85 116 36 67 149 257 2 227 4044 1637 416 299 556 102 149 313 84 752 1648 1 3210 2785 227 375 4028 266 76 1317 399 75 129 321 3 3134 1409 419
532 4006 424 239 2284 276 62 137 213 3 2395 598 206 144 58 26 36 17 26 12 99 8779 4 1553 966 138 77 51 16 19 17 19 19 338 8340 4 Notes：All the above data The test used in the fault diagnosis of the number of samples is not particularly much, here using leave-one-out cross validation method to evaluate the generalization performance of classifier.

Azoxy compounds are prepared mostly by reduction of aromatic nitro compounds or oxidation aromatic anilines.
Azoxy compounds can be prepared by electrolytic reduction of nitro compounds[10].
Among the reduction methods, sodium borohydride reduction can be operated at room temperature easily, and the yield of azoxy compounds is high.
Reduction nitro compounds using sodium borohydride.
Table 3 Yields and corresponding MS data of azoxy compounds Entry Product Yield [%] MS(EI), m/z [%] 1 2a 85 198(M+, 22), 182(12), 169(21), 105(18), 91(25), 77(100) 2 2b 41 226(M+, 21), 211(60), 104(19), 91(100), 65(37) 3 2c 53 226(M+, 57), 119(18), 105(31), 91(100), 79(25), 65(42) 4 2d 48 254(M+, 34), 238(20), 197(15), 105(100), 91(32), 77(60) 5 2e 27 258(M+, 93), 242(33), 121(83), 107(100), 92(45), 77(55) 6 2f 87 266(M+, 7), 250(25), 139(33), 125(21), 111(100), 90(38) 7 2g 90 266(M+, 5), 250(11), 139(26), 125(6), 111(100), 75(33) Reusability of the catalyst.

In that sense model reduction based simulation appears to be a very promising alternative.
Indeed, by no more considering the initial condition of a transient problem as a static input data but as an extra- coordinate similarly to space and time, we demonstrate that it is possible to parallelize efficiently the computation and even reach real-time in some cases.
More details regarding the PGD method and other model reduction methods are given in [1, 2, 5, 7].
Instead of considering it as a static input data, it can be introduced as an extra-coordinate of the model, similarly to space and time.
Boust, Alleviating mesh constraints: model reduction, parallel time integration and high resolution homogenization, Computer Methods in Applied Mechanics and Engineering, 197 (2008) 400-413

A data wrangling methodology is proposed to clean and organize the data for suitable analysis through Exploratory Data Analysis.
In the final stage of the analysis, an Exploratory Data Analysis (EDA) is conducted to summarize and visualize the dataset to identify patterns, trends, and relationships that may exist within the data.
Exploratory Data Analysis.
Data from the production system were processed, combined, and examined using visualization tools to help understand the data.
Drilling process monitoring: A framework for data gathering and feature extraction techniques.

Age estimation is an important method to solve the face recognition with age change, due to the feature extraction,in the process of age estimation study, PCA dimensional reduction method is usually used to reduce dimension with excessive dimension.PCA refers that transform the sample matrix into one-dimensional vector first, then the one-dimensional vectors form a matrix, solve the eigenvector. 2D-PCA applied in this paper is not required to transform the sample matrix into one-dimensional vector, but construct scatter matrix with data matrix directly, accordingly, the computing time is reduced and a good performance evaluation is achieved in the test.
PCA generally refers that transform the sample matrix into a one-dimensional vector first, then a number of the sample vectors form a matrix[4], finally solve the eigenvectors of the covariance matrix; 2D-PCA is not required to transform the sample matrix into a one-dimensional vector, but construct scatter matrix with data matrix directly,therefore, characteristics extracted by 2D-PCA are better and faster than PCA and the calculation time is reduced.
Compare with PCA and 2D-PCA dimension reduction method of the face image identification and the calibration point method, the time spent and the recognition rate were as shown in Figure 1.
Randomly select the training sample, the rest are as test sample, treat with PCA and 2DPCA dimension reduction. 3.
Table1 Experimental results Test methods Group 1 Accuracy rate Group 2 Accuracy rate Group 3 Accuracy rate Running time Calibration points 70.0% 71.2% 71.1% 22.62s PCA 69.4% 69.1% 70.4% 91.65s 2DPCA 71.1% 72.4% 70.6% 35.94s The test results showed that the original image information was not required to read due to the use of calibration point method, thus dimension reduction was not needed, therefore the running time was the shortest; while the running time of using traditional PCA dimension reduction method was the longest, the 2D -PCA method used in this paper was considerably less than the traditional PCA method.