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All this machines contaminate radio environment around them and make serious obstacles for WiFi data exchange.
Analyzing the curve presented in this figure we can notice that data transfer decreases four times in distance of 50 meters.
All data interchange between computer and AGV were done by this AP.
As a final effect we can observe stable (but not so high) data transfer rate.
It means that next data frames were supplied by different paths (not only straight way).

Electrode metal powders are generally synthesized by the wet reduction process [1-2], chemical vapor deposition method [3] and spray dry method [4].
In this study, Ni powders were prepared by the reduction of hydrazine of Ni salts from diethanolamine (DEA) solvent.
Hydrazine hydrate (N2H4⋅H2O) was used as reducing agent and the reduction was allowed to proceed at 180~240 °C for 0~40 minutes.
XRD data revealed the characteristics of nickel crystalline as shown in Fig. 2. 10 20 30 40 50 60 70 80 (c) (b) (a) 2-Theta Intensity (a.u
(a) (b) (c) (d) 3㎛ 3㎛ 3㎛ 3㎛The formation of nickel powder by the reduction of hydrazine of nickel salts from DEA solvent is expected to include the following steps: (1) dissolution of NiCl2, (2) formation of Ni(NH3)n, (3) reduction of dissolution species and (4) nucleation and growth of nickel particles.

Based on experimental data, the constitutive equation was established, and the predicted peak stresses by the developed model agree well with the experimental data.
Based on the experimental data, the constitutive equation was established.
(5) (6) Then based on experimental data, the lns-ln and s-ln relation curves are plotted by linear fitting method, as shown in Fig. 3.
(8) Based on experimental data, the ln[sinh(αs)]-ln and ln[sinh(αs)]-1000/T relation curves are plotted by linear fitting method, as shown in Fig.4.
Based on the experimental data, the constitutive equation is established using Arrhenius relation.

The formula was verified by the comparison of the theoretical results with the experimental data.
Then the theoretical results were compared with the experimental data as well and good agreement can be observed.
(14) Results comparison and parametric analysis (1)Comparison with the experimental data When, 4.0and, substitute other parameters including size of the column, concrete strength and CFRP strength stated as reference [6] into Eq. 14, the theoretical results are obtained as list in Table 1, which are compared with the experimental data. is the experimental data[6] and is theoretical results obtained in this paper.
Take theoretical results and experimental data of D1, D2, B2, D3 and D4, the relationship curves of the eccentric bearing capacity and eccentricity ratio is obtained as shown in Fig. 5.
It shows that the eccentric bearing capacity decreases with , which a consistent with the experimental data.

This leads to the reduction at low frequencies and the increase at high frequencies.
The feasibility and accuracy of Tam and Auriault’s theory and MGBK method are assessed by experimental data. 2.
The above pictures show a systematic reduction in core length with increasing chevron inward bend angle in data sets (core breakdown initiation moves forward about 3D).
Conclusion Study of jet noise reduction on separated exhaust system using chevron nozzles are presented in this paper.
The comparison between prediction results and experiment data come to the conclusion that the far field noise spectra predicted by Tam and Auriault’s jet noise prediction theory and MGBK theory are within the acceptable accuracy.

The results demonstrate that switching the operation of an office building HVAC system from CV to VPF will significantly enhance energy savings and CO2 reduction.
The office building selected for this energy-saving and CO2 reduction study is located in central Taiwan; it is rectangular with a foot-print of 33.5 m (length) by 33.2 m (width).
Each set of data is the average value of three successive monitoring data.
Significant CO2 reduction is observed in the VPF system as compared with the CV system.
The accumulated power consumption increases from 21,757 to 468,299 kWh (data not shown), and the reduction of accumulated CO2 emission increases from 0 to 44,186 kg/year (The emission factor for electricity = 0.623 kg CO2/kwh) for the VPF chilled water system.

The so-called shear strength reduction method is for an ideal elastic-plastic finite element system and is such a process, in which the shear strength parameters of the sliding mass are gradually decreased by a varying reduction coefficient, until the system achieves an unstable state and the finite element static analysis is not convergence, and the strength reduction factor at the situation is the safety factor we want [4, 5].
Where, F is reduction coefficient or safety factor.
Through the test a lot of data were obtained.
The foundation parameters are from geological exploration data, and they are listed in Fig.3.
The calculation model for strength reduction method is shown in Fig.3 (The grade of side slope was determined as 1:1.5.

Analysis of Unstable Rock-Mass Stability Based on Limit Equilibrium Method and Strength Reduction Method Ying Kong1, a *, Huapeng Shi2, b, Hongming Yu1, c 1Faculty of Engineering, China University of Geosciences, Wuhan, China 2Guangxi Communications Planning Surveying And Designing Institute, Guangxi, China akywx5407@163.com, b276332792@qq.com, cyuhongming55@sohu.com Keywords: Limit equilibrium method, Strength reduction method, Unstable rock mass, Stability analysis Abstract.
Thus, 3D laser scanning was used to acquire geometric feature data, including the length, width, height of unstable rock masses, controlled structural plane, and cutting depth of posterior-margin joints, and to plot the sections of the unstable rock masses (Fig. 2).
Since the saturated cohesion and internal friction angle of unstable rock mass are inaccessible, we adopted similar strata for analogy, and referred to the regional empirical data: 0.21 MPa, 29.8°; the geometric dimensions of the unstable rock masses are showed in Fig. 2.
According to SRM, the slope stability safety factor is defined as the reduction degree of a soil-rock body strength parameter when the slope reaches critical failure, or namely the ratio of actual strength to critical-failure strength of soil-rock body, or namely the reciprocal of the reduction factor [6].
Zhou, Application of Local Strength Reduction Method Based on Particle Flow Code in Slope Stability Analysis, Sci.

After processing the data, the data will be uploaded to the server via the GPRS/Internet Connection.
“This paper focuses on sufficient data for analyzing the air disasters as short term application, and reduction of air disasters as long term goal.”
Flight Data Recorder A Flight Data Recorder (FDR) (also ADR, for accident data recorder) is a kind of flight recorder.
Fig 1 An example of an FDR (Flight Data Recorder).
Data Recording : An Online FDR can record parameters of Airplane, same data of plane in our Personal Computer.

RDF inference component, according to the data generated RDF CardOnto and description information semantic closure.
The combination of RDF and XML, not only can the concept system of concepts linked with real world knowledge, to realize the data based on semantic description, also give full play to the respective advantages of XML and RDF, facilitate Web data retrieval and knowledge discovery, and then defined and build the clinical ontology CardOnto according to the medical classification principles of traffic organization, get some clinical diseases, the concept of ontology system, this structure can clearly and accurately represent the knowledge structure of the disease.
Concept lattice redundant relations reduction algorithm achieving Ontology integration In response to the above definition of distributed ontology integration adapter, the project puts forward one of distributed ontology integration based on concept lattice and reduction method, this method doesn’t rely on artificial participation, and it has a high degree of formalization and can be directly on the computer, taking into the quality and efficiency of ontology integration.
Redundant relations reduction algorithm Set up a stack, all the concept of into degree 0 in the concept lattice will be pressed into stack.
To this end, the steps of redundant relations reduction algorithm are: (1) Press the concept of no precursor (count domain is 0) into stack S1