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Two data strictures all meet the efficiency of the search algorithm.
Point cloud data are used to make the physical part to be a digital model.
Meanwhile, no assumption can be made about the size of the data set.
So it is a dimension reduction operation[7].
So data structures where nodes have pointers to associated structures are called multi-level data structure.

The evaluation metrics mainly incorporated factors closely related with disassembly process, and the principal component analysis enabled more objectively quantitative evaluation, through dimensionality reduction and information integration of metrics.
Little effort required 1 Moderate effort required 2 Large amount of effort required 4 Magnitude of weight Light(<3kg) 2 Moderate heavy（3kg<<8kg）2.5 Very heavy (8kg <<12kg) 3 Straight line motion, overcoming Inter-surface friction and wedging Little effort required 2.5 Moderate effort required 3 Large amount of effort required 5 Accessibility Tools accessibility Enough space to operation 1.0 Some space to operation 1. 6 No space nearly to operation 2.0 Straight line and twisting motions, overcoming Inter-surface friction and wedging Little effort required 2.5 Moderate effort required 3.5 Large amount of effort required 5.5 Disassembly tools No tools required 1 Common tools required 2.0 Specialized tools required 3.0 Positioning accuracy No accuracy required Easy to handle 1.2 Difficult to handle 1.6 Some accuracy required Easy to handle 2.0 Difficult to handle 2.5 Disassembly Evaluation Methodology By the way of dimension reduction
Step 2: After acquiring the disassembly performance rated data, it should be processed by the principal component analysis method as follows[8]: (1) Standardization of the original rated data; (2)Calculating the correlation coefficient matrix to identify correlations among indicators, on the basis of the standardized data array; (3)Extraction of the principal components based on the initial eigenvalues, variance contribution rate and cumulative variance contribution rate
Table 2 The components of ZL50 type summary of evaluation data Part name Tools accessibility Position accuracy Disassembly force Component dimensions Magnitude of weight Disassembly tools Input primary gear 1.0 1.2 0.5 2 2 1 Input secondary gear 1.0 1.2 0.5 2 2 1 Overrunning clutch assembly 1.6 2.0 5.5 2 3 2.0 Reverse gear piston 1.0 2.0 2.5 2 2 2.0 Reverse gear planet carrier assembly 1.0 2.0 3.5 2 3 1 Reverse gear friction plate 1.0 1.2 0.5 2 2 1 Bracket 1.0 1.2 3 2 2.5 1 First gear friction plate 1.0 1.2 0.5 2 2 1 First gear ring gear 1.0 1.2 2 2 2 1 First gear planet carrier assembly 1.0 2.0 3.5 2 3 1 Medium cover 1.0 1.2 1 2 2.5 2.0 The third shaft assembly 1.0 2.5 5.5 2 3 3.0 cover 1.0 1.2 1 2 2.5 2.0 First gear cylinder body 1.0 2.0 2 2 2.5 1 The fourth shaft assembly 1.0 2.0 3.5 3.5 2.5 3.0 With the aid of the SPSS statistical software, the disassembly evaluation of ZL50 type gearbox was conducted as follows.
So the linear combination expression between the two principal components and variables: positioning accuracy (x3), disassembly force (x1), component dimensions (x4), magnitude of weight (x2), disassembly tools (x5) was as follows: F1=0.311 x3+0.354 x1-0.205 x4+0.401 x2+0.066 x5 (1) F2=0.044 x3-0.025 x1+0.741 x4-0.238 x2+0.442 x5 (2) After bringing the standardized disassembly evaluation data into the formula (1) and (2), the disassembly performance score on the two principal components of each component of gearbox can be got.

Getting familiar with the disaster site as soon as possible to understand the disaster situation can technically support the reduction of the secondary loss and the rapid implementation of the optimal disaster reduction and disaster relief plans.
This kind of flying robot mainly adopts the low-altitude remote sensing data acquisition and processing technology, namely UAV remote sensing sensor, and applies digital telemetry remote control technology, communication technology, GPS, differential positioning technology, digital close range photogrammetry to conduct the acquisition, processing, 3D modeling and application analysis of remote sensing data [4, 5].
Combine the historical data and the expert experience to repeatedly train the neural network.
With the intelligent planning decision-making system combined with the historical data and expert opinions, the analysis and processing is automatically conducted.
In this series of emergency tasks, it is essential to obtain the rapid, accurate and effective site data feedback to determine the key information including scope of alert and evacuation, evacuation routes and rescue resources allocation.

It is a very important Question for “algal Bloom” need to be concerned of leads and scholars.Water quality, hydrology, meteorology etc Monitoring data were analyzed for the "algal Bloom" period.
There are different degrees of reduction and mitigation, but did not meet the prevention, prevention and control standards, clear in Wuliangsuhai Lake "moss", should increase the human, material and financial input, the system, scientific, comprehensive prevention and treatment.
(3) Water temperature and light The water temperature is also an important factor to lead to an outbreak of yellow fur, according to the research reports: a wide temperature range suitable for the growth of filamentous green algae, 10 ℃ -35 ℃ can better growth [9] in May 2008, the average water temperature of Lake of the 22 monitoring points in June, July and August, respectively: 14.83 ˚C, 22.39 ˚C, 26.24 ˚C, 22.80 ˚C, according to the National Weather Service data show that, in Wuliangsuhai region in March and April 2008 the average temperature higher than the calendar year 3 ˚C-4 ˚C.
Control Measures Through the analysis of the causes of outbreaks in Wuliangsuhai moss, the following Control Measures: (1) strengthen the source of governance, reduction the industrial waste water, sewage and farmland drainage on water quality in Wuliangsuhai.

Another approach is chemical or thermal hydrogenation, electrochemical and photochemical reduction of CO2.
Tan et al. [89] synthesized a nanocomposite for CO2 reduction to CO.
Reduction of CO2 was done in presence of a photocatalyst by Murakami et al. [93].
Stolarczyk, Photocatalytic reduction of CO2 on TiO2 and other semiconductors, Angewandte Chemie.
Park, CO2 Capture Capacity and Swelling Measurements of Liquid-like Nanoparticle Organic Hybrid Materials via Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy, Journal of Chemical & Engineering Data.  57(1) (2012) 40–45

The mechanical results revealed a systematic reduction of the maximum compressive strength when the volume of Ichu fibers in the mortar mixtures was increased.
From the data found, it was possible to verify a notable reduction in the values of maximum resistance to compression when increasing the volumetric fraction of Ichu fibers.
The other mortars R showed a gradual reduction in the modulus of elasticity with the increase in volume of added fibers.
It was possible to verify a reduction in the values of maximum resistance to compression when increasing the volumetric fraction of Ichu fibers.

Optimization of the drying process (reduction of process time and energy expenditure) is crucial for the ceramist industry.
The numerical simulation technology to reproduce the experiments is recent, but it has several advantages over the experimental works carried out in laboratories and pilot plants, for examples: · At various instant of time, it is possible to see gradients of moisture and temperature inside the solid; · Heat and mass fluxes can be quantified over time and space; · The sensitivity to small changes of the process parameters is greater, eliminating uncertainties of experimental tests; · The predictive modeling capability allows the design and optimization of dryers or drying processes without necessarily having to construct a prototype, thus, reducing costs; · There is no limitation on the drying conditions or safety concerns; · In numerical simulation the study can be done in the real scale, without the necessity of reduction of scale.
The optimization of existing drying technologies or the developing of new technologies is focused on two aspects: the reduction of energy expenditure and the time required to completely dry the product while maintaining the quality of itself.
This phenomenon approaches the clay particles and other components, causing volumetric retraction, that is, the reduction in size of the part, which can vary from 4 to 10%, depending on the initial moisture of the part.
The present article is part of a research that aims to simulate, and compare experimental data, a heat and mass transfer in the drying process of bricks involving the product in an external environment, which in this case is a drying oven.

In terms of nano-particle addition, its influence on the mechanical properties are not notable; enhancement of the elastic modulus, yield stress and tensile strength are negligible, and there is a small reduction in ductility.
A, B, C and D in Fig. 3a) were drawn along the gauge section of the specimen and a high-speed camera operating at 100,000 frames/second was utilized to capture visual data on the specimen deformation.
With respect to nano-particle addition, for strain rates in the range of 0.0012-1000s-1, its effects on the Young’s modulus, yield stress and tensile strength are negligible; there is actually a small reduction in ductility.
However, considering that the experimental data for tests on the nanocomposite at 1600s-1 is limited, this observation remains to be substantiated by further tests.
The addition of nano-particles results in little influence on the mechanical properties of the alloy; enhancement of the Young’s modulus, yield stress and tensile strength is negligible, while there is a small reduction in ductility.

At 500°C, the cermets showed a small reduction in their mechanical performance.
Results and Discussion For the analysis of the mechanical results, some data on the Capirona and Capinuri precursor woods must be considered such as the basic density they present and their maximum resistance to compression in a direction parallel to the fiber.
Physical and mechanical data of interest of the study woods.
Both materials show a reduction in their maximum compressive strength, reaching values of approximately 594 MPa for the Capinuri cermet and 363 MPa for the Capirona cermet.
Furthermore, the reduction of stiffness is observed in the elastic zone, as well as a transition in the failure mode going from a brittle behavior at room temperature to a more ductile response, revealed with an initial linear stretch followed by an increase in resistance.

All these information can appear in the basic spatial data platform.
The integration of data in disaster reduction system based on GIS.
In this system, XML is used to unity and standard the data format, and Web Service is used to do data exchange.
The data layer provide the urban emergency system with support services, which realizes the integrated storage of spatial data and attribute data, the information exchange, information integration and so on.
The database server also provide a reliable guarantee for data management, data replication, data updating and maintenance, and data security.