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Engineering Vocational College,China 2Shijiazhuang Information Engineering Vocational College,China a 1269997980@qq.com,b1148843246@qq.com Keywords: Remote Management,Low Carbon And Energy-saving,Real-time Fault Monitoring Abstract.On the basis of the analysis and research to the application status,technical implementation and the development trend of PDU, according to the existing network platform,we have come up with a solution to realize the remote management for PDU.Through TCP/IP to realize the remote management,it makes sure that power supply and server are safe,through LAN or WAN,it is able to monitor,control and manage the power supplies of multiple devices in the cabinets.At present,we can measure voltage,current,temperature and humidity.The intelligent management also reflects another development trend of PDU,that is greenization.Because of the good product design,the PDU products of greenization can not only reach a lower power consumption standards,but also make the whole data
As the power interface of the Computer room equipment,in future development, the safety and reliability of PDU will be one of the most focused characteristics for the customers.That is the most important reason why some data center clients who originally used ordinary sockets but now use PDU products,the safety and reliability of PDU products is much higher than that of ordinary power sockets.
High-end PDU products emphasize safety and reliability,at the same time,the products pay more attention to intelligentialize.Programmable and remote-controlled PDU products have won a good response in the market,intelligentialize of the products can meet the data center clients’requirements better, it can also make PDU products more competitive.
Through programming and remote controlling,the customers can control the related electrical equipment much better.Meanwhile,observing the running parameters of the equipment at a higher level.The intelligent management also reflects another development trend of PDU,that is greenization.It can not only lower power consumption standards by its good product design,but also be able to make the whole data center to achieve the effect of energy conservation and emissions reduction.　 2The Implementation of The Content,Technical Route,The Key Technologies And Innovation Points 2.1Implementation content of the Project On the basis of the full analysis and research of the application status,technical implementation and the development trend of PDU,I make a research and implementation according to the existing network platform to realize the remote management solution to PDU.
Through programming and remote controlling,the customers can control the related electrical equipment much better.Meanwhile,observing the running parameters of the equipment at a higher level.The intelligent management also reflects another development trend of PDU,that is greenization.It can not only lower power consumption standards by its good product design,but also be able to make the whole data center to achieve the effect of energy conservation and emissions reduction. 3.4 Economic benefits Being standby,sleeping,shuting down automatically which will eliminate the energy consumption of the computer can reduce the energy consumption to zero.It can save 10% - 30% of the computer normal power,which will benefit the users.

Pawlak’s rough set theory, as a supervised learning model, is only applicable for discrete data.
For the convenience of description, we introduce some new symbols as follows: In general, the partially labeled data are expressed as , where refers to the labeled data set, is the unlabeled data set, and the range of decision attribute.
The data that are transformed by is expressed as .
In the partially labeled data, the decision table which is composed by all correctly unlabeled data is represented as.
It’s helpful for classification in ship data.

Data of trial heats revealed that, UT rejections were more in heats cast with superheat levels more than 35oC.
Based on the data obtained from trial heats superheat was optimised to 25-35oC for both Cr-Mo and high manganese steels.
As superheats contribute to porosity and voids, data on superheat levels were reviewed for heats in which UT rejections were found to be more.
Data analysis revealed a wide variation in superheat levels.
Hence, based on the data obtained from trial heats, the superheats have been optimised to 25-35oC for both Cr-Mo and high manganese grades.

The best fit of eq (7) to the experimental data is shown, in figures (2-5), by a solid line.
The S-parameter as a function of thickness reduction (%) for 5005 Al-Mg alloy.
The S-parameter as a function of thickness reduction (%) for 5051 Al-Mg alloy.
The Sparameter was studied as a function of thickness reduction for the alloys.
Al-alloy (5083) S-paramter Thickness Reduction (%)

The whole model to establish in accordance with the construction drawing, conducive to contrast with the field loading test data.
Setting the rigid tie and support model For the finite element analysis model of single beam, in order to facilitate each node and each member of the extracted data, the finite element model of default node number and unit number as a result number.
Internal force, bending moments reduction of 4.6~10.2%, shear reduction of 6.5~8.7%.
Displacement, deflection reduction of 6.1%, horizontal displacement reduction of 7.2%.
Loading is divided into five stages, each stage stops 20 minutes, using stop gap for data acquisition and recording.

This emphasis on waste reduction drove practices such as inventory reduction, process simplification and the identification and elimination of non-value-adding tasks.
Fig. 2: Process Flow Chart Data Collection and Analysis Lean Waste Taken into Consideration: In this research the impact of major waste that occurs in the valve assembly area were focused with space optimization, improve flexibility and the reduction of floor space and material movement by the execution of appropriate lean tools.
Time Study: The time study was carried out using stop watch and the data was collected for different operations from the industry for the assembly of valve and tabulated in Table 8.
This data is used for mapping the current state using the value stream mapping.
Before implementing Kaizen, October 2019 month data was collected whereas, data were collected for the month of November and December 2019 after implementing the kaizen.

The results indicated a significant improvement in the pest-control decision-making processes, with a significant reduction in the total areas for pest control application, including more than 68% reduction for the P. oleivora pest and over 92% reduction for the P. latus pest.
The conventional approach for monitoring and controlling these pests consists of data processing and analysis from the samples collected in the field, normally grouped into operational sub-areas.
Data Capture and Processing Field sampling is carried out according to the established sampling protocol.
The field samples records are then transferred to a related database, where a set of data validation routines are executed, including coordinate verification, pest control measurement validation, as well as other validation functions.
The L. phoenicis pest had a 28.50 % reduction in the pest control area with the proposed approach.

These additional data provide an idea on how the computational gain may evolve when the total time of the analysis (here tfinal=4∙10-5 s) is varied.
Time-invariant actuation, data related to: run times; overall error, and computational gain with respect to the staggered solution.  
Total time [sec] Snapshots/ Base generation Reduction system error w.r.t. stag. gain w.r.t.
Time-varying actuation, data related to: run times; overall error, and computational gain with respect to the staggered solution.  
Brand, Incremental Singular Value Decomposition of Uncertain Data with Missing Value, Lecture Notes in Computer Science, 2350 (2002) 707–720.

Introduction Vibration reduction is the essential problem occurring in projecting and construction of vehicle suspension.
Selecting these ratios efficiency of vibration reduction in the whole usable frequency of system work may be corrected.
The additional problem in the case of vehicle suspension is necessity of deteriorated vibration reduction for chosen frequency.
Marszalik, Optimal Control of Slow-Active Vehicle Suspension - Results of Experimental Data, J.
Kowal, Optimal control of slow-active vehicle suspension-results of experimental data, J.

The program SB8001 was used to extract the data from the Symphonie Data Acquisition unit and display the data as Noise Reduction Coefficients.
Table 1 shows the results of the porosity testing and the values of the noise reduction coefficient at the octave band frequencies required to calculate the average noise reduction coefficient.
However, its noise reduction coefficient was reduced at frequencies below 900 Hz.
Based on experimental data, the NRC was low at frequencies below 900 Hz, but rose significantly after 900 Hz.
An increase in porosity increases the noise reduction coefficient for the higher than 900 Hz frequency range, but decreases the noise reduction coefficient in the lower than 900 Hz range.