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Then in the fourth experiment, the gas will be accommodated for a gas chromatography test to obtain a comparison of gas concentration data before and after purification using an adsorber membrane.
This likely occurs due to the evaporation of the degraded cellulose components, resulting in a reduction in hydrocarbon compounds that make the membrane surface look clearer [11].
In addition, the performance of the adsorber membrane can also be assessed based on the effectiveness resulting from the gas separation process, which in this case can be in the form of data both qualitatively and quantitatively.
Qualitative data is usually displayed in the form of visual results, including based on the results of the flame test.
According to Ritonga (2020) flame test, Qualitative data is usually displayed in the form of visual results, including based on the results of the flame test.

Electrochemical reaction occurring in the SOFC cathode is the reduction of oxygen, therefore cathode materials for SOFC have to posses many properties.
Introduction Electrochemical reaction occurring in the SOFC cathode is the reduction of oxygen as follows: (1) Air is the most practical and economical way to feed the fuel cell stack.
It can be concluded as follows: the contamination of trace impurities in air have effect on the SOFC performance; theoretical analysis of SOFC degradation was done in detail and GCI technique is considerably more effective in evaluating the electrochemical performance behavior as a function of time; further experimental data using LSM as cathode material verified the validity of the GCI measurement; electronic conductivity of cathode material plays the main role for performance degradation.

Generally, the value of η which is estimated from the Current-Voltage (I-V) data is quite high for the organic diode.
Table 1: Extracted value of η from lnI vs V plot for these three different cells without and with TiO2 and ZnO nanoparticles Sample Value of ideality factor (η) Only PSF 38.17 PSF+ ZnO 37.50 PSF+TiO2 34.59 To estimate the value of Rs the data has been fitted by the Cheung Cheung method [25-26].
The dark I-V data has been measured.
The data has been fitted by thermionic emission theory and also by the Cheung Cheung function which is basically the modification of the thermionic emission theory by inducing the effect of series resistance.
Evaluation of the experimental data shows that series resistance decreases with the lowering of trap energy in the presence of nanoparticles.

The reduction of the bearing capacity from the design index plays an important role in the reinforcement after fire.
By ultrasonic testing data analysis, in the fully peeling zone, the depth of surface damage layer was in the range of 10 to 20mm.
Fig. 1 Normal section size of the underpass structure (unit: cm) Fig. 2 Underpass bridge model 2.2 Static analysis of underpass bridge before and after fire In the view of statics analysis, reduction of mechanical properties before and after fire includes two aspects: reduction of the strength of concrete and steel and reduction of overall stiffness.
(6) Substituting the data: (7) Get: (8) (9) Strain of the tensile reinforcement: (10) Strain of the tensile concrete: (12) ii) The strain computation of pasted steel plate under the action of the secondary load: Concrete compression zone depth under the limit state: (13) Substitute the data and get: (14) < (15) Design based on Steel tensile strain control after reinforcement.
Assuming, substitute the data and get: (27) (28) iii) Sectional area determination of the pasted carbon fiber sheet: (29) (30) Use two layers of carbon fiber sheet, model of which is CFS2-355-200-017-300.

The physical data model of MES was designed by Power Designer software and some key function modules which include workshop plans and scheduling management, Workflow management and control system and process quality control were developed based on J2EE.
Design of system data modeling The design of physical data model is the basis and key work for MES development, now it has many popular tools for system data modeling such as Power Designer, Erwin, Rose and Visio etc.
Power Designer is used to design data modeling in the system.
It has many advantages such as: the whole process of data modeling can be used expediently; the integration of latest theory and method of software engineering, the integration of business flow model, unified modeling language and data modeling[7]; It is suitable for common database management system and parallel modeling for team; design reports of data modeling can be generated according to user demand; It can transfer database structure between different database platform[8].As the follow Figure 3 shows, part physical data model of planning and scheduling of MES is designed by Power Designer software.
Figure 3 Physical data model of planning and scheduling of MES V.

The reduction of the use of electrical energy will be more reduce exploration of natural resources and the lower carbon footprint happens.
The major aim is to enhance the economic profit by reduction the machine downtime, increase the product quality, and save energy consumption.
According to historical data and machine operator interviews, those machines are classified by its condition into two machine categories, which are: 1.
According to data EIA [16] is known for 1 kWh electricity generated per unit of fuel used 1,842 kWh per ton of coal or 0.9 kWh per lbs of coal.
Acknowledgment The data resource of this paper is a research that funded through the Direktorat Penelitian dan Pengabdian Kepada Masyarakat, Direktorat Jenderal Pendidikan Tinggi, Kementerian Pendidikan dan Kebudayaan R.I., through letter contract no. 180/K3/KM/2014, date 7 Mei 2014 and the Universitas Trisakti letter of contract No.201/LPT/USAKTI/V/2014, date 12 Mei 2014 References [1] Fang K, U Han N, Zhao F, Sutherland JW, A New Approach to Scheduling in Manufacturing for Power Consumption and Carbon Footprint Reduction, Journal of Manufacturing Systems, 234-240, 30, 2012, (Journal) [2] Diaz N, Redelsheimer E, Dornfeld D, Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use, In: Glocalized Solutions for Sustainability in Manufacturing; Proceedings of the 18th CIRP International Conference on Life Cycle Engineering, 2011, (Proceedings) [3] Li W, Zein A, Kara S, Herrmann C, An Investigation Into Fixed Energy Consumption of Machine Tools, In

Analysis of Wind Turbine Weibull analysis software provides the life data analysis tools necessary to analyze data from all phases of product life.
The failure of WT components are calculated based on field data by using Weibull software.
The failure distribution data is shown in the table 1.
The most common type of yaw mechanism is based on a rolling slew ring bearing with a cogged inner or outer race and pinions driven by electrical motors over high-reduction gearboxes.
The tip of blade open slightly due to the low pressure developed in the hydraulic system and it make reduction in power generation.

However, according to VNIITeploizolyatsii (Lithuania) is a "short-term" exposure does not allow for reliable data [5].
MWIM offered to consider moisture resistant, if after 1 hour of trial strength reduction does not exceed 30% [4].
The data obtained showed that between the values ​​of strength reduction slabs samples at their endurance over boiling water and store in the desiccator in a moist air at 18-20 ° C there is a direct proportional relationship.
With less degree of polycondensation is possible receive incorrect data due to possible post cure the binder at a test temperature of about 100 ° C.
The data obtained allow us to recommend companies that manufacture MWI replace lengthy testing moisture resistance slab samples by standard methods to express control.

Studying the data from January until March 2014, the on time delivery is at 29.87%, 37.06%, 48.61% respectively by 38.51% on average.
Value Engineering and the Resource Conservation, resources recycling of used recycled pursuant to Main 3Rs are reduction, reuse and recycling are applied with the analysis of profitability, green supply chain management by calculating the Greenhouse gas emissions (GHG) and economic analysis as refered to Dumrongkiat et al [5].
Integrated with reference model for Supply Chain Operations Reference (SCOR model) is shown in Fig. 1 including 1) Plan: Use backward scheduling method refers shortage list plan [8], 2) Source: Follow order by using MRP data from customer, 3) Make: Production used Lean technique applies JIT concept, 4) Delivery: Follow customer request to use JIT concept, 5) Return: Review material packing for reuse process.
It is helpful to reduce the frequency of transportation by keeping record and returning packing materials for analyzing GHG emission of which GHG emission factor (EF) multiplied with activity data as formula equation 1 which unit was carbon dioxide equipvalent (Co2e).
GHG emission = EF * Activity data (1) Fig. 1 Integrated with VSM ,GSCM and SCOR model Result of a case study a) Supply Chain Improvement of planning caused the on time delivery of finished goods as JIT concept.

Sample data is divided into four types, respectively, fall of coal, coal gangue ratio 3:1, coal gangue ratio 2:1 and waste rock acoustic data.
Therefore, this article first has carried on the wavelet noise reduction processing to the raw data, extract the real coal gangue signal.
Fig. 1 Coal gangue acoustic signals after wavelet de-noising Feature extraction.Coal waste data after wavelet noise reduction for 1 frame per 256 data points (that is, a sample is about 10 ms) MFCC processing, respectively select some sample data structure database as the experimental data.
A sample of each type of data set .
Through nonlinear mapping function to input data into a higher dimensional Hilbert space.