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The networks are always busy and they tend to increase the chance of data colliding and latency in data delivery.
If such thing happens for ordinary data, the impact wouldn’t be much of thing to consider but if this is the case for an important data then the data would be lost half way or delayed, which might cause serious damages to the system and also affects the safety of the people working in the industry.
It transmits the data to the sink in shortest possible way.
Data packet 100bytes 6.
The initial energy of each node is 100 joules, after that there is energy reduction seen as time passes.

This work uses a Geographical Information System environment and remote sensing data to assess the availability and sustainability of forest biomass residues in a management unit with around 940 ha of maritime pine forest.
The main effect of the former is the destruction of the forest and thus the reduction of future biomass residues availability.
The production data of a Portuguese pellets factory in Mortágua was used.
Results As it can be seen in Table 1, there was an overall reduction of the above ground biomass from 2004 to 2007.

In consideration of the randomicity of both mechanical parameters of rock and structural plane and resistance of slide resistant piles, reliability index of slope stability was established with the aid of discretized dimensional reduction method of reliability and conditional probability.
BAYESIAN ESTIMATION OF PARAMETER In design stage, investigation and testing data are always limited, but the accurate estimation of geological parameters requires substantial data.
A fair estimation can be secured by Bayesian method, integrating the subjective judgment based on intuitional experience or indirect information with observation data.
The lab result ε is a group of observation data x1, x2, …, xn, which stands for a random sample of the population X from its density function fx(x).

With the increasingly development of economy in China, economic growth and efficient use of energy is a hot topic in recent years, also China is under pressure of carbon emissions reductions during the process of economic development.
The empirical test on the dynamic relationship between China's energy consumption (coal, oil, natural gas consumption) and economic growth has been studied, which use 1953-2007 annual time-series data [5].
Huo Zongjie, Zhou Caiyun (2010) found the relationship between the structure of energy consumption and energy is causality and analysis on the data with China's economic growth in 1978 -2007, [6].
VAR model built and Analysis Articles selected data from 1978-2012, China's gross domestic product (GDP), the coal consumption (X1), oil, natural gas consumption (X2) and hydropower, nuclear power, wind power consumption (X3), all data sources in the "China statistical Yearbook", the software uses EVIEWS7.2.
When processing the data, GDP in 1978 as the base year to eliminate the impact of price changes, in order to further maintain the stability of data, consider the effects which different variance may exist, namely the logarithm of the four indicators, get LNGDP, LNX1, LNX2 and LNX3.

The digital human model moves without individual angle and coordinates data of the respective segments joints.
The recording of transaction data of an employee has to be designed in a way that the recording can be made as uncomplicated as possible.
This implies that the process of data collection is short and the employee does not have to face additional barriers in the application.
In addition, anthropometric data, such as the length of the limbs and the body size will be recorded and stored.
The usage of collected anthropometric and the movement data leads to individual programming of properties and limitations in the human model.

Although the RCM method is a very rapid test method which provides data on the chloride diffusivity within a few days, this is not good enough for the regular quality control during concrete construction.
If the quantity of such control measurements was sufficient to produce reliable statistical data, this simple approach was considered adequate for the regular quality control and quality assurance during concrete construction.
Based on the achieved chloride diffusivities after 1 year of site curing combined with the achieved site data on concrete cover as new input parameters, new durability analyses were carried out for each concrete structure.
For the concrete structure in Part 6, it should be noted that the in-place data on achieved chloride diffusivity were based only on concrete cores from the separately produced dummy element.
These chloride diffusivities combined with the achieved site data on concrete cover were used as new input parameters to further durability analyses.

The study indicated that the inclined roof created various pattern of daylight reduction levels.
The weather data used for the simulation study was from an average of 21 years of weather data from the weather station of Penang Airport in Bayan Lepas.
Therefore to provide more reduction, double polycarbonate glass was also tested and showed its significant heat reduction compared to single polycarbonate (Figure 9), with maximum temperature recorded on 14th of March at 04:30 pm as 32.99°C and minimum 25.70°C.
A simple passive skylight system was applied in a typical Malaysian room to produce different data for several orientations, glazing materials and sizes.
Furthermore, the data showed that double polycarbonate deliver more natural light than normal single glass because of air insulation.

Stiffness Matrix Adjustment Using Mode Data.
Updating of A Model and Its Uncertainties Utilizing Dynamic Text Data.
Updating Model Parameters from Frequency Domain Data via Reduced Order Models.
The effect of Close or Repeated Eigenvalues on the Updating of Model Parameters form FRF Data.
Finite Element Model Updating Using Frequency Response Function Data—Ⅱ: Case Study on A Medium-size Finite Element Model.

Data includes curvature, voltage, current, and resistance outputs.
For the curvature sensor readings, a linear interpolation function was employed, utilizing known curvature and voltage data from Figure 8.
Ultimately, both sensors operate simultaneously, providing real-time data in tandem and enabling synchronized monitoring.
Table 2 shows the numeric data of the experiment.
According to the graph, large reductions in pressure lead to significant reductions in curvature.

These data indicate that the degree of Li/Ni cationic disorder in L1.20Na0 and L1.20Na2 were almost the same, but comparing to Li1.20Na0 and Li1.20Na2, it was slightly increased in L1.18Na2 as a result of Li+ reduced, which lead to Ni tend to occupy the position of Li because of the similar ionic radius of Li+ and Ni2+.
Basing on these data, it can be inferred that added Na+ mainly located between transition metal layers.
XPS spectra of (a) survey spectrum, (b) Na 1s ,(c) Mn 2p, and (d) Ni 2p Figure 4 displays the electrochemical properties of L1.20Na0, L1.20Na2 and L1.18Na2 cells, and the corresponding data were listed in table 1.
These data confirm that Na+ doping or substitution can enhance initial discharge capacity and coulombic efficiency as a result of the increased of lattice layer spacing, which is beneficial for the diffusion of Li+.
Suppressing Mn Reduction of Li-Rich Mn-Based Cathodes by F-Doping for Advanced Lithium-Ion Batteries.