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Here we would include an additional requirement, there is no training data.
Thus the method is very restricted. 4.b The methods will require large number of trainber of training samples (to determine the shapte of the object). 12] 5.Recognition and tracking with additional sensors This class of methods assume that there are additional input data, apart from visual data produced by a monocular camera, to provide additional information, e.g., depth.
Z77 Express chipset) Memory 1 6 GB (Kingston DDR3 1333MHz) HD Crucial M4-CT128M4SSD1 Graphics Nvidia GeForce GTX 660 (2 GB / Gigabyte) Display ASUS ACI23C2 ASUS MX239 (24.2 inches) B.Speed test Test target: a real-time video Video: A human hand waving (original :640X480 / 1000 frame / 25 fps /avi -h.261 with no sound) Task goal: tracking the center of the hand A.Result : Fig.6 Result time System 1: 2127.71 ms Kinect [14] system in PC with Open Ni and prime sense [15] System 2: 867.51 ms Sand-table algorithm run in matlab(2010b) with win7 Conclusions Our experiments show that Sand-table Algorithm create a way of tracking single moving target.It can track the target with a very high speed with simple matrix operation , Run noise reduction

Decorate in the energy storage structure of import and export armoured k type thermocouple measuring medium temperature, and the rotor flowmeter measurement medium flow rate, temperature recording medium using data acquisition instrument and experimental time.
The experimental data collection and analysis Paraffin expansion coefficient determination method. 40 # paraffin wax melting point, for example, initial temperature of 60 ℃, PCM inlet temperature heat transfer fluid temperature 0 ℃, flow 1 l/min exothermic experiments, research the liquid level changes, analyze its expansion process.
(a)heat storage (b)heat release Fig.3 Three melting point of PCM storage temperature characteristic curve of heat storage and release process The experimental results of three kinds of melting point temperature characteristics of PCM storage heat release process, as shown through the analysis of experimental data structure after get the following comparison table, Table 1 Heat storage process PCM time water temperature temperature difference The total heat storage 30# 255 41.1 13.3 199.1 40# 315 45.2 12.1 222.4 50# 360 47.3 11.8 248.4 Table 2 Heat release process PCM time water temperature temperature difference The total heat storage 30# 315 26.3 14.4 260 40# 315 27.9 14.4 266.3 50# 315 31.9 19.4 358 It can be seen from the experimental results, the same water
Development of a Method for the Long-Term Efficiencyand Cost Evaluation of Mobile Idle-Reduction Technologies (MIRT).

For the first temperature, it is possible to obtain data about total ferrite, austenite, Laves phase, niobium carbide and others carbides (M7C3).
After the computation of all necessary volumetric fraction data, few matrices were created: nine matrices with constant %Al varying %Nb and five with fixed %Nb, shifting %Al.
Carbon promotes δ-ferrite reduction, but favors α-ferrite increasing until a maximum before declines.
The experimental data is similar to the simulated, thus validating the method present in this paper for this range of compositions.

Magnesium with the similar density, Young’s modulus and yield strength comparing with human bone presents significant reduction of stress-shielding effect [8].
Since the weights of specimens are different originally, it's better to normalize the data.
Thus it's appropriate to normalize the data before comparison.
The data correspond well with weight loss.

The multifunction KPCI-3116A data acquisition board provides 16-bits resolution 32 single ended or 16 differential analog inputs.
Fig. 4 Scheme of CTA anemometer data acquisition system The direction of velocity cannot be inferred from the hot-wire probe; only the local velocity magnitude is determined.
The signal from the anemometer was linearized according to data from the marking process and then reversed.
Only two last cases caused velocity reduction.

The first step is to convert digital data necessary for the elaboration of the transmission module system.
Conclusion The design of electronic systems for engine management that are capable of improving a number of the engine parameters (related mostly to fuel efficiency and pollution) has to be based on the design and test of various electronic modules that are able to provide the necessary input data for the management system.
Al-Janobi, A data-acquisition system to monitor performance of a fully mounted implement, J.
Thierheimer – Studies concerning the rolling motion reduction by controlling the steering and gear and the spring rigging correlation, în Annals of DAAAM for 2008 & Proceedings, Included in ISI/SCI Web of Science and Web of Knowledge, 22-25th October 2008, pp. 1383-1384, Trnava, Slovakia

However, limited data are available for the size effect on the compressive strength of foams at high strain rates.
The stress-σ the stain-ε -strain rate ε& relationship for the material during the dynamic test can by calculated from the strain pulse data, which is detected by strain gages attached on the surface of incident and transmitter bars of SHPB device , based on following Eqs.1-3 using the one- dimensional wave propagation theory: ( ) tsAAE ε=σ / (1) ( ) dtlC t rs ∫ε−=ε 0 0 /2 (2) ( ) rslC ε−=ε /2 0& (3) Where tε and rε is the transmitted and the reflected strain pulse detected by strain gauges, E is the elastic modulus of the elastic bars, A and sA are cross sectional area of the elastic bars and the specimen, 0C is the elastic wave velocity in the elastic bars and sl is the original length of the specimen.
The value of K in Eq.4 is about 0.3, which was approved by the data from many opencellular polymer and metallic foams [6].
The reduction in strength properties owing to this size effect is caused by the reduced constraint of the cell walls at the free surface coupled with an increased area fraction of stress free cell walls.

The material was subsequently cold rolled to approximately 75.5% reduction in thickness and then annealed at 588.6°C (1117°F) in a 100% H2 atmosphere, followed by 8% temper rolling.
An integrated scanning electron microscope (Phillips XL40 FEG) - EBSD mapping system (TexSEM Laboratories, Inc.) was used to obtain crystallographic orientation data from each sample, with a resolution of 20µm.
The x-axis shows the ratio of the actual to the average grain size obtained by averaging the combined data from all samples.
The grain size data from all five samples were combined and averaged.

Therefore, the real flow field distribution of bag filter was tested in this paper, by using experimental method to collect data and to analyze flow field distribution in order to optimize bag filter design.
Comparison Chart of flow field unevenness Internal Flow Field Test of Bag Filter Analysis and Evaluation standard of test data in the flow field.The test device was shown in Fig. 1, gas inlet diameter: D = 120mm, bag length: L = 1000mm, bag diameter D = 100mm, distance between bag and bag, S=140mm, test device had sixteen bag; bag quantity was shown in Fig. 2.
Some experimental data were provided to further optimize flow field.
Therefore, reduction of jet gas flow was the primary problem of needing solution in order to obtained more uniform of flow field and to use filtration bag for a longer time.Supported by the National Science Foundation of China (Grant No. 51178094) and Shanghai Leading Academic Discipline Project, China (No.B604) Reference [1] Sang Liang, Yang Jingling, ti-chang Sun, pulse jet bag filter simulation test of air distribution, energy and environment, 2006.NO.2.

Wind Load: As for the steel canopy, the wind load mainly depend on data supplied by wind tunnel test as a result of the current standard does not provide a similar structure of the wind load shape coefficient.
While the data of this experiment can be reproduced and experimental results are reasonable and reliable, it is easy to windproof design of stadium.
Modal Analysis: In order to meet the requirements that 90% of quality participation factor,we considered 60 modes in the calculation, cycle reduction factor of 1.0.
Calculations: MIDAS / Gen earthquake response spectrum defined in the main menu → Load → response → response spectrum analysis of the data spectral function: the definition of shock response spectrum, that is the definition of the corresponding response spectrum of small earthquakes on the basis of input amplification factor β , other parameters are selected with a small earthquake.