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Vibration test principle and data processing method.
Data processing method.
Active damping for chatter reduction in high speed machining.
Study on a new type of data logging system for vibration measurement and software pack for data processing and analysis, J.
Data Processing and Application of MATLAB.

Production planning and scheduling can take out data information from product level, through the operation control level, transmit to management level and complete enterprise information integration by continual flow of information and enhance the core competition of enterprise.
outsourcing collaborative plans and outsourcing orders are created based on the established material requirement plans, which will be formed into Excel table for convenient implementation of the purchasing department. 5)Workshop plans management: according to the established of the MRP, resources should be allocated reasonably for meeting the delivery date demand of manufacturing orders, the function modules include workshop plans creation, static job scheduling, dynamic job scheduling and scheduling algorithm management etc. 6)Production Kanban management: for monitoring execution of workshop plans, the function modules include Kanban creation, statistics of production execution and Gantt charts show etc. 7)Workflow management system: workflow management is the base of enterprise information systems, the function modules include the definition, execution, monitoring, and management of business processes workflow etc. 8)Basic data maintenance: all kinds of basic data information
such as order information, manufacturing data, equipment information, scheduling information and rights information etc which are relevant to rare metal manufacturing are collected and processed.
At present integration methods of information management system mainly include direct access of homogeneous database, API function call of information management systems and middleware technology with a uniform description of data and interface to all[7][8].
Conclusion The level of management has been raised in the following three aspects through the application of PPSS in some rare metal manufacturing enterprises: Firstly, consistency, accuracy and efficiency of production scheduling have been improved effectively; Secondly, some real-time scheduling problems such as rush order and equipment downtime have been solved by scheduling algorithm; At last, there are some obvious improvements on efficiency of enterprise such as: reduction of inventory stock level, reduction of production cost and improvement in the workshop production flexibility of and rapid response level to market.

The results indicate that cutting temperature decreases at the tool-chip interface with reduction in uncut chip thickness at high cutting speed and large uncut chip thickness.
In order to verify the proposed finite element model, the simulated cutting forces with experimental data is compared with the same cutting parameters.
It can be seen that the simulated cutting forces are well agreed with the experimental data, so the coupled thermo-mechanical model is proved to be right [8].

Information corresponding to a 5D (Φ1, Φ, Φ2, z, x · y) map is deducted from the 3DXRD data.
(a) ω =-44.5° (b) ω =-43.5° (c) ω =-42.5° Figure 2: Data images with background subtracted.
Diffraction data were obtained for a gauge volume of 51 layers spaced at 6 µm with the Frelon CCD-detector.
The 3D position of the grains inside the sample cannot be resolved from the data presented here.
However, additional data was taken with a high-resolution Sensicam detector at several distances close to the sample.

Firstly, a Fast Fourier Transform (FFT) circuit converts the voice data from time domain into frequency domain.
Next, the data is converted back by the IFFT circuit.
Ultimately, the processed data is played out by the speaker.
(c) The third part is to multiple the raw data with the gains and output the optimized signals.
All the data should be pre-stored into the memory before the hearing aid starts to work.

. & Disaster Reduction, Tongji Univ.
However, in most cases the data of above research were collected on the basis of manual statistics.
Based on WIM (Weigh-in-Motion) data, Laman [5], Chotickai [6] developed disparately revised fatigue-load models.
The paper develops a new fatigue-load model for highways in China based upon the measurements of WIM data.
WIM Data By the end of 2008, total mileage of China's highway amounts to 63300 km, ranking the second behind US in the world.

The absence of the striated features that are associated with the template could be indicative of the reduction of basal stacking faults in the ELO wings.
Results and Discussion Fig. 1 shows the XRD data for a planar m-plane GaN sample grown on a 6H-SiC substrate by MOCVD.
The absence of the striated features on the ELO sample could be indicative of the reduction of basal stacking faults in the ELO wing regions [12].
recombination of carriers/excitons bound to basal stacking faults (BSFs) [13], considering the fact that the PL data were collected not only from the wings but also from the windows, which contain a large number of BSFs.

This paper divides China's 30 provinces (considering the availability of data, the study of the energy efficiency area didn’t include Tibet, Taiwan, Hong Kong and Macau) into eastern region, central region and western region, takes energy intensity as the index of energy efficiency, analyses energy efficiency from 1995 to 2010 in three regions.
Sources of Data The GDP data in this paper are from the “China Statistical Yearbook” and provincial statistical yearbook.
The energy consumption data are from the “China Energy Statistical Yearbook”. 4.
Data Analysis and Main Results 4.1 Analysis of Energy Efficiency.
However, some provinces focused on developing economy but ignored the work for energy conservation and emission reduction, so the energy efficiency rested on a low level, which brought about the within-region differences of energy efficiency in the western region fluctuated obviously and a general decrease on the whole.

Figure 1: Key characteristics of Smart Grid Source: Infosys report on Smart Grid Table 1: Gap between today’s grid and smart grid Characteristic Today’s Grid Smart Grid Enables Consumer Participation Consumers are uninformed and non participative with the power system Informed, involved and active consumers – DR and DER Accommodates Generation/Storage Dominated by central generation – many obstacles exist for DER interconnection Many distributed energy resources with “plug and play” convenience – focus on renewable Enables New Markets Limited wholesale markets, not well integrated – limited opportunities for consumers Mature well- integrated wholesale markets, growth of new electricity markets Meets PQ needs for 21st Century Focus on outages – slow response to PQ issues PQ a priority with a variety of quality/price options – rapid resolution of issues Optimizes Assets & Operates Efficiently Little integration of operational data with asset management Greatly expanded data acquisition
As per this data, India will have the highest electricity consumption followed by Middle East and China in the years to come.
Blue Map Scenario The objectives of APDRP [10] were: · Improving financial viability of State Power Utilities · Reduction of AT & C (aggregate technical and commercial) losses to around 10% · Improving customer satisfaction · Increasing reliability &quality of power supply The APDRP programme has been restructured by the Government of India, in order that reliable and verifiable baseline data of revenue and energy in APDRP Project areas is attained over an IT platform and that AT& C loss reduction is achieved on a sustained basis.
The scheme comprises of two parts-Part-A & Part-B, Part-A of the scheme being dedicated to establishment of IT enabled system for achieving reliable & verifiable baseline data system in all towns with population greater than 30,000 as per 2001 census (10,000 for Special Category Status).
The focus for Part-B is on AT&C loss reduction on sustainable basis.25% loan is provided under Part-B projects and up to 50% of scheme cost is convertible to grant depending on extent of maintaining AT&C loss level at 15% level for five years.

The focus here is on PAS results that include positron lifetime (PL) as well as coincidence Doppler broadening (CDB) data.
Selected information from microhardness measurements, differential scanning calorimetry (DSC), smallangle X-ray scattering (SAXS) and electron transmission microscopy (TEM) are also included to guide and corroborate the interpretation of the PAS data.
The lifetime � obtained by the single component analysis is an effective parameter associated with this type of data treatment.
The discussion of the above PAS data, which is presented in the next section, will be also based on information gathered from the other experiments.
CDB data support the idea that after long exposure at RT the overlap of positrons to Mg is greater than in the freshly quenched material.