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These are important measures to realize energy conservation and emission reduction on diesel engines.
The spray quality is promoted largely when using the high pressure common rail system, the match quality of chamber structure and spray characteristic is also needed to optimize if we want to control the process of the fuel mixture formation and combustion and to achieve the requirement of exhaust emissions reduction.
As for the results, we choose the data among 320-440°CA.

The LIBS quantitative analysis method was divided into two categories: one was based on the calibration curve with the mathematical matrix correction method; the other was combined with neural network reduction method of matrix.
In the practical application:Preparation of a set of standard samples,the element type and the sample to be tested as consistent as possible,by the system of LIBS standard samples for detection and analysis of standard samples,the content of each element and the relative signal intensity into type(2).It could be obtained by the matrix elements on the determination elements influence coefficient“”as well as the parameter “a” and “b”.Through the test of the sample to be tested in the elements of the relative signal strength,the matrix elements and has obtained the parameters “a”, “b” and influence coefficient“”.It could derive specific samples to be detected in the element content.There was required much group data measurement in order to ensure the accuracy. 3.3 Based on genetic neural network for matrix correction method The quantitative analysis method was one of the key technologies of LIBS.
[2]Xie Chengli.Laser-induced Breakdown Spectral data processing methods and the application in the coal analysis research.Ph.D.Thesis.Huazhong university of science and technology,In 2009
[10] Body D,Chadwick B L.Optimization of the spectral data processing in a LIBS simultaneous elemental analysis system[J].Spectrochimica Acta Part B,2001,56(6):725-736.

The hash function is the acceptance of variable length data input, and generating function of fixed length data output.
Message integrity requirements of any changes to the received data can be found, and main function of hash function is to realize the integrity of data security.
The hash function is very suitable for certification and ensures data integrity.
Hash functions are acceptable variable length data input, and generating function of fixed length data output.
Message integrity requirements of any changes to the received data can be found, and main function of a hash function is to realize the integrity of data security.

For an adequate description of the shaping processes implemented in such devices on the basis of certain mathematical models, experimental data on the energy-force parameters of deformation are required, as well as data for the nature of the distribution and intensity of deformations arising in the process during cyclic deformation of a metal product.
A complete revolution of the drive shafts consists of two stages: a reduction stage and an idle stage.
The stage of reduction begins from the moment the workpiece is captured by the vertical surfaces of the sidewalls and ends at the moment of their closest approach.
The obtained experimental data on the distribution and magnitude of irreversible strains of the strip under conditions of (plastic deformation) are essential both for a qualitative understanding of the mechanics of the process and the design of machines for continuous casting and metal deformation.

The data obtained from this work is fundamental and has some reference value for future studies.
Thermal oxidation, usually involving a high temperature process, has been proved to be an effective surface passivation by a reduction of the surface state density and a field effect passivation due to fixed positive oxide charges [7].
Since the IQE in the short wavelength region relates to the recombination in the near front surface, the increase of IQE of SiO2/ SiNx double layer passivation is due to reduction of surface defects and dangling bonds by native oxide and the subsequent very effective hydrogenation of dangling bond interface states during SiNx deposition.

The building types include office buildings, commercial buildings and school buildings, and the data can be obtained from a simulation model or the field database.
Kuchen and Fisch [1] developed the linear relationship by adjusting the data.
The input data include weather data, constructional characteristics, physical description of buildings, internal heat gains, energy consumption for electric lighting and office equipment, occupancy time schedules, infiltration and ventilation, installed heating and cooling power.
The output data include heating, cooling, lighting and total energy consumption, and percentage of time the PMV lies between the specified ranges.
The validation procedure is based on hourly measured data for indoor temperature, relative humidity and energy consumption for heating, cooling and ventilation, collected by the building’s energy management system.

Data collection and feed-forward neural network.
The process of collecting EMG data for gesture recognition involves capturing muscle electrical activity; in this case, data were extracted from the forearm using the MyoWare 2.0 muscle sensor.
There is no competing interest.Data availability statement.
Data curation: D.D.L.; D.V.; J.M.M.
Data visualisation: A.D.C.; M.E.P.; K.M.R.L.

The Model Code 2010 provisions for bond and its deterioration due to low and medium corrosion levels are used for the verification of the models against experimental data of simply supported beams under 3 or 4-point flexure, showing different modes of failure.
The reduction is here applied to one of the legs of each closed stirrup.
The data on the corrosion attack are given in Table 4.
Table 4: Corrosion data and bond deterioration function
For the verification of the models against experimental data, different shear span-to-depth ratios have been considered, showing different modes of flexural and shear failure, and results have been compared to tests from different campaigns in the literature, using either natural corrosion, environmental corrosion under load or slow artificial corrosion close to natural phenomena.

It can also achieve the unification of the different data formats.
The Mobile Agent-based urban environmental information system can effectively solve the reduction of environmental spatial data collection costs, and improve the degree and scope of city environment information sharing so as to satisfy the requirements of the socialization and popularization of the system [1].
Therefore, application of Aglet migration mechanism can achieve effective data unification, which has great significance in statistical data.
Spatial data based on a data structure is a spatial index and the spatial structure of a combination of entities.
Spatial data structure is stored by layer structure, which facilitates data uses, updates and management.

Moreover, the kinetic model for partial nitrification was determined as Introduction Recently, the partial nitrification and denitrification process has attracted considerable attention [1, 2] for their reduction of 25% aeration consumption and 40% carbon source on denitrification process[3, 4], thus it is a feasible approach for high strength ammonium wastewater with low C/N ratio.
However, in the later stage of the experiment the NH3-N degradation rate decreased gradually for the reduction of available substrate and the accumulation of toxic substances[9].
Suppose that during the experimental process the liquid in the reactor was completely mixed and the amount of nitrite bacteria was fixed, then the kinetics of nitrosation reaction was only affected by the NH3-N concentration, and the Monod type enzyme kinetics can be proposed as: (1) Taking reciprocal of the formula above as follow: (2) where: - maximum specific removal rate of the substrate, mg /L•h; - saturation coefficient, mg /L; - specific removal rate of substrate，mg/ L•h; , -substrate concentration in two closed time points, mg/L; -sampling time interval, =1h According to the experimental data obtained, the linear regression analysis between and was conducted as show in Fig. 7.