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The automated system actions are analyzed and monitored in the server or data storage room.
Communication between the sensor nodes and the data receiver is via the ZigBee protocol under the IEEE 802.15.4WPAN.
Fig.1 Overview of Structural Concept The WIU has also a GPRS module to send out the data to a web server through the public mobile network.
The soil moisture data and temperature data from each wireless sensor unit are received, recognized, recorded, and analyzed in the wireless information unit.
Communication with the web server for uploading and downloading the data through URL.

Introduction Quantitatively determine the time that the failure appeared and extract signal features during devices fault diagnosis process,in source orientation or equipment fault diagnosis,the vibration signal data sampled by data collector often superpose noise,useful feature information always submerges in the noise．In order to restore data into practical vibration condition veritably as far as possible,it need to denoise the jamming signal and extract the feature of the signal[1].
In the paper the authors propose a combination of the EMD method and the wavelet analysis to suppress the noise and fault detection and diagnosis, It adopts empirical mode decomposition to current signal ,obtained a series of IMFs,removing the first IMF to denosing,and then analyzed multi-scale ,using signal become mutated have the maximum modulus determine the time that the failure appeared. 1 Hilbert-Huang Transform Hilbert-Huang Transform(HHT) is a novel analysis method for nonlinear and non-stationary data.It was proposed by Huang et al.It consists of two parts:(1)Empirical Mode Decomposition (EMD), and(2)Hilbert Spectral Analysis.With EMD,any complicated data set can be decomposed into a finite and often less number of intrensic functions(IMFS)[3].Any IMF is defined as a function satisfying the following conditions(1)The number of extrema and the number of zero=crossings must either equal or differ at most by one;(2) At any point,the mean value of the envelope defined by the local
,until we get a residue whose amplitude is smaller than a predetermined value,or becomes a monotonic function[5].The original signal can then be reconstructed,using the folowing equation: (6) Thus,we achieved a decomposition of the data into n-enpirical nodes,and a residue ,which can be either the mean trend or a constant.
In this paper a method is presented to noise reduction .
A system is working, acquisition signal of output points is a creep signal when they're working properly, when it gets out of order., acquisition signal of output points is will appear abrupt signal(abrupt mainly displays on amplitude and frequency) ,and is now given the system from normal to the failure of a sampling sequence, analysis the fail appear in time. analyzed multi-scale ,using signal become mutated have the maximum modulus determine the time that the failure appeared. 3 Analysis and simulation results The original vibration signal data sampled by data collector is as Fig1 shown, Figure 2 is vibration signal EMD after twelve scales of the mode function graph; Fig 3 is the filtered signal and coefficient of Wavelet decomposition. as can be seen from the diagram 3 these algorithms mentioned in this paper was showed a remarkable effect in signal denoising,Keep the details of the original signal characteristics,and Has higher application value.at the same time,frome coefficient

(a)-Reduction of the initial concentration to 50% in one stage, (b) time needed for that condition (t1).
(c) Reduction of the initial concentration to 50% in two stages, (d) time needed for this condition (t1+t2).
On the other hand, curves with ratios 0.9 or higher (Fig. 5, corner b) are far from 80% of reduction.
Therefore, data in Table 2 and 3, show that it is possible to reuse solvent.
-High reduction of initial concentration in few stages and high uses of time. b.- Low reduction of concentration in few stages and low use of time.

Daculsi 3,4 1 Dept. of Periodontology, Yonsei University College of Dentistry, 250 Seongsanno, Sedaemum-gu, Seoul 120-752,Korea 2 Biomatlante SA, ZA des 4 Nations, Vigneux de Bretagne, France 3 CIC-IT BioDiMI, CHU de Bordeaux / Inserm, Pessac, France 4 INSERM U791, Nantes University, Dental Faculty, France guy.daculsi@univ-nantes.fr Keywords: Sinus lift grafting, clinical data, long-term follow up, synthetic bone substitute Abstract.
Reduction in radio-opacity as well as organization of the bone architecture could be observed at the implantation site over time using X-rays (Fig. 3).

These models have been employed to evaluate air quality for different regions and analyze air pollution data.
Regression models have been utilized to analyze air pollution data, showing noteworthy performances [37,38].
The data primarily consisted of good days, with only a few satisfactory days.
Analysis and forecasting of air quality index based on satellite data.
Air quality data (2019 - 2022). https://cpcb.nic.in/

Tests using the new compensation grinding method demonstrate the reduction in the form error of aspherical parts.
Based on the measured data, the center of the grinding wheel C is compensated in the radial direction of the grinding wheel and moved to point C'.
By adding up the data of Fig. 6 and Fig. 8, the actual distribution of the grinding wheel radius is calculated as shown in Fig. 9.

The method consists in pouring a melt into the rotating rolls, crystallizing it on the roll surfaces, rolling with a predetermined reduction amount, pressing out in front of the die and squeezing out the product of the predetermined configuration and dimensions through it with drawing ratio in the range of values 10-40.
Device for twin roll casting-extruding solid (a) and hollow (b) extruded products under the patent [14]: 1 – holding furnace; 2 – melt; 3 – roll with a stream; 4 – roll with the protrusion; 5 – water-cooled cavities; 6 – matrix; 7 – needle; 8 – collar; 9 – clamp; 10 – screw; 11 – holder; 12 – channels for lubricant supply; 13, 14 – springs; 15 – crystallized metal; 16 – extruded product The device (Fig. 3) in accordance with the patent [15] allows expanding technological possibilities due to an increase in yield, reduction of metallurgical processing cycles, reduction of labor and energy intensity of the process, and also improvement of the quality of extruded products due to improvement of mechanical properties.
The data obtained correspond to the level of mechanical properties for the alloy and its analogues, cited in the reference literature [17, 18] and standard EN 754-2.

A reduction of the weight of the construction itself but maintaining its loading capacity, given by the strength and safety of the construction, is of prime importance.
Reduction of plate thickness in relation to grade S355 by using high-strength steels Fig. 2.
More data about this are summarised in EN 1011.
One result of toughness data is shown in Fig. 13 by the example of the XAR 400 steel.
This is shown in Fig. 15, where the mean abrasion data determined for a skip made of the niobium micro-alloyed XAR 450 and XAR 500 steel grades after use in the Chino Mines in New Mexico are compared with corresponding calculated values.

In the work by [20], the advantages of employing this method (such as reduction of cost and time to conduct all the experiments, identification of unique experiments, identification of contribution from each factors and simplification of data interpretations) were pointed out.
The design specifications of CDU are shown in Table 1.The data for cut point and the percentage of yield for this case study are shown in Table 2.
Cut point data Product Cut points [°C] Yield by volume [%] Off Gas Naphtha Kerosene Diesel AGO Residue 10 11.31-180 180-240 240-340 340-370 370-642 0.0 23.0 9.3 19.2 4.5 44.0 Methodology The implementation of Taguchi methods in this case can be illustrated using Fig. 2.
Higher degree of slope indicates that the variable plays an important role in energy reduction.
Reduction and deviation of total energy per unit diesel production Case Energy per kilo barrel of diesel production per day (kW/kbpd) Reduction [%] Deviation [%] Base Case 342.28  -  - SQP Solver (7 variables) 250.23 26.89  - Taguchi Calculation 260.62 23.86 4.15 Optimal Configuration 262.48 23.31 4.89 SQP Solver (5 variables) 256.96 24.93 2.69 Remarkable agreements between Taguchi and SQP solver result with a small deviation (≈ 2% to 4%) verify the usefulness of Taguchi to reduce the number of optimization variables from seven to five variables.

to tungsten with hydrogen; and (x) thermal regeneration in oxidation–reduction–carbidization process.
In particular, competition between the growth of tungsten oxide nanowires and the reduction of GO sheets leads to the formation of sandwich-structured tungsten oxide–rGO (reduced GO) composite [12,13].
The recycling of cobalt waste was not addressed here, so no data on its processing are provided.
The bottom line is that such complexes and composites obtained by thermal treatment of rGO–WOx can be successfully used in sensors, electronics, energy and data storage systems, photocatalysis, cathode materials, and more.
Since this is a separate topic, significantly different from the development of methods for processing waste and synthesizing methods, here we will limit ourselves to references to our previous works [19–24], which contain preliminary data according to which this mixture is expected to sinter well by both traditional (hot pressing) and SPS methods and can be used to produce WC–Co hard alloy.