Search results

Furthermore, the test sections were established in order to test the application of different materials used as a grout space between the rails and the surrounding environment and the reference section to compare the resulting data.
Vibrations were measured on the own construction of the house, also on the communication - vertical vibration near the track (30 cm far from the running rail track), these data present the transmission of vibration from the rail and sleepers in the immediate surroundings, measuring the vertical vibrations of the road (150 cm far from the running rail track in place that was not affected by reconstruction), these data present the transmission of vibration to the subsoil neighbourhood.
Pads ensure the reduction of vertical vibration of sleepers on average by 32 % in case of good wheels and an average of 42% when wheels has little flat areas (the driving speed was 50 km·h-1).
Noise reduction has been proven by measurements made on the street Opavská in 2000 - 2001, on monitored section of track, before repairing and after repair.
By performing repairs by using rubber pads was achieved at a distance of 21 m from the centre of the track (before the windows of residential buildings - microphone at a height of 3.5 meters above ground level, the driving speed 50 km·h-1) noise reduction of 3.5 dB for a no-load wheels 7.7 dB for a loaded wheels of tram T3.

Introduction Data communication between different CAD system become quite frequent [1-5], data conversion is an important issue which includes two problems: degree reduction and merging.
Merging many curves to get one curve is one of main data reduction.
Then the error of merger is very great, it is difficult to use in data communication.
Merging is main method for data reduction, if more than knot are inserted, the data will increase.
[8] Q Q Hu, G J Wang, Optimal multi-degree reduction of triangular Bezier surfaces with corners continuity in norm , Compute Appl Math.

The annealed AA6061 Al alloy sheets were asymmetrically rolled by 85% reduction in thickness in about 5 passes, at 20, 200, 300, 400, 500, 550 and 600°C, respectively.
To analyze the texture, based on the measured pole figure data, the orientation distribution functions (ODFs) of AA6061 Al alloy sheets were calculated with orthorhombic symmetry by using the Bunge method [14, 15].
The plastic strain ratios (R-values) of R0, R45, and R90, were calculated, the average R value () was calculated as = (R0 + 2R45 + R90)/4. and the planar anisotropy (ΔR) was calculated as ΔR = (R0 + R90 - 2R45) / 2. was calculated by ODF data.
Sample Preparation processes a Starting Al alloy sheet (4mm thickness) was annealed at 500 ˚C for 1 h. b Sample a was asymmetrically rolled by 85% reduction in thickness at 20°C (room temperature) and subsequently annealed at 300°C for 1h. c Sample a was asymmetrically rolled by 85% reduction in thickness at 200°C and subsequently annealed at 300°C for 1 h. d Sample a was asymmetrically rolled by 85% reduction in thickness at 300°C and subsequently annealed at 300°C for 1 h. e Sample a was asymmetrically rolled by 85% reduction in thickness at 400°C and subsequently annealed at 300°C for 1 h. f Sample a was asymmetrically rolled by 85% reduction in thickness at 500°C and subsequently annealed at 300°C for 1 h. g Sample a was asymmetrically rolled by 85% reduction in thickness at 550°C and subsequently annealed at 300°C for 1 h. h Sample a was asymmetrically rolled by 85% reduction in thickness at 600°C and subsequently annealed at 300°C for 1 h.
The R0, R45, and R90 values were calculated on the basis of ODFs data [14, 15].

Data mining discovers knowledge and useful information from large amounts of data stored in databases.
In order to overcome the limit which are caused by applying traditional data mining methods to multiple tables, multi-relational data mining (MRDM) is proposed.
Object-Oriented Data Mining (OODM) is a field whose time has come.
Almost all current researches to OODM tailored to specific forms of data mining and specific data types.
Of course, this requires that the data is perfect.

Research for Analysis of Fire Data Based on the Grey Relation Weifang Cao The Armed Police Academy Basic Courses，Langfang，Hebei ,China jnyt2068@yahoo.com.cn Key words: integrated relational analysis; association coefficient ;fire disaster analysis Abstract：Based on the statistic data of fire disasters that occurred in China between 2004 to 2008 and selecting six reasons which led to fire disasters and resorting to the theory of grey integrated relational analysis, this paper makes integrated relational analysis and advantage analysis for the given system which is characterized by the total number of disasters, the number of death caused by the fire and the economic loss that the disaster directly led to.The result can be useful when it comes to the research on the law of fire disaster and the fire prevention.
Gray relational degree model 2.1 The original data processing So is the mirroring initial value of the sequence.
The Grey Correlation degree of same length sequence is given, but for different lengths of sequence, we could delete the excess data of longer sequence or predicted by grey system GM (1,1) model to supplement insufficiency data in the shorter sequence to make it become same length sequence, but it will generally affect the value of the gray absolute relational degree. 2.3 Comprehensive correlation model Suppose that length of sequence X0 and Xi are the same, and the initial value are not zero, and, and are the gray absolute relational degree and gray relative relational degree of X0 and Xi respectively, is the gray Comprehensive correlation degree of X0 and Xi, called comprehensive correlation degree for short.
Construct correlation matrix as below: we can get a new mean value image constructed matrix after data processing ， suppose Comprehensive correlation coefficient and calculate the gray correlation matrix by software: Similarly, take the number of casualties, the direct economic losses as reference lines to make correlation degree analysis with the fire causes respectively.
This article provides scientific basis for disaster reduction or disaster prevention with comprehensive correlation analysis of designated gray system (fire causes and consequences).

Low-carbon tourism is a mode (or model) that tries to protect resources and environment through the reduction of carbon dioxide emissions.
When we do quantitative analysis, it should be easy to collect data.
Thus, it is more appropriate to adopt the inherent data information in the process of analysis.
Both the subjective effect such as the satisfaction of the travelers and the objective effect such as data of the component of the travelers are included.
The indicators used by the evaluation system are fraught with details, and the data used in the evaluating process are convenient to collect.

To reduce the order of the polynomials of the transfer function the balance reduction method [2] was used.
The measurement of the input/output data for the given lab model. 2.
The determination of the FRF from the input/output data. 3.
The determination of the transfer function model and its reduction.
To do this we have connected the whole system ( piezo-actuator, steel beam, piezo-sensor and charge amplifier) to the excitation and data acquisition devices.

This model made the analysis more objective and scientific, and can accumulate the data for new or planned similar constructions.
The main influencing factors of construction cost changes will be identified subsequently to accumulate relative data for new or planned similar projects.
Similarly, the reductions of the subentry engineering are regarded as that whose final quantities and unit prices are zero.
The bid proposal and the settlement of this project are shown as Table 1 and Table 2, respectively (Due to space limitations, only part of the data listed).
Through the data analysis and accumulation of the similar completed projects, the empirical conclusion can be made to offer scientific and objective countermeasures to control construction cost of the new and planned similar projects.

Finally, multiple times of cyclic reduction and oxidization performance were further experimented on the AutoChem 2920 system.
Thermal decomposition of CoFe2O4 dried gel In order to understand the potential transformation of the dried CoFe2O4 gel in the muffle furnace, TG-DSC data obtained on heating in air are presented in Fig.2.
Multiple cycles of reduction and oxidization characteristics of the synthesized CoFe2O4 Good redox performance and sintering-resistance are of the great concerns to preserve the reactivity of prepared CoFe2O4 over multiple cycles of reduction and oxidization process, especially used for catalyst or CO2 fixation.
Furthermore, taken the first reduction cycle as an example, the CoFe2O4 reduction by H2 was composed of two reaction stages, one centering at ~480oC with the intensity of TCD signal stabilized as –0.035, and the other shoulder at ~550oCwith TCD signal as –0.015, among which, the former was ascribed to the reduction of Co2+ by H2, and the latter arose from the reduction of Fe3+ involved in the formed CoFe2O4.
Reduction of carbon dioxide into carbon by freshly reduced CoFe2O4 nanoparticles.

Patil and Hodges [14] did the work of LCO in high aspect ratio wings and state that LCO data becomes increasingly complex with the increase in speed.
Furthermore, data acquisition systems, DAQ were used in gathering signals from measurement sources and digitizing the signal for storage and analysis.
The data acquisition has been used to record the data during wind tunnel test.
The test has been repeated several times to find if there are major irregularities in the data obtained.
The data obtained might be served as a reference in future aerospace research areas.