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This paper presents a comparative analysis of the operational effectiveness of a winged and conventional aerostat for scientific data gathering in lower Himalayas at various ambient wind speeds.
The winged aerostat is seen to be much smaller in size, and has a much lower reduction in operating altitude due to blowby.
A bidirectional serial data link connects thepayload with the ground control computer.
A comparative analysis of conventional and winged aerostat for scientific data gathering in lower Himalayas was carried out for ambient wind varying from 5 to 25 m/s, and the operating conditions listed in Table 1.
Vdisp and BB at different wind speeds Wind Conventional Winged %Difference Speed VDisp BB VDisp BB VDisp BB (m/s) (m) (m) (m) (m)     5 95.54 22.9 98.28 5.75 2.8 -74.8 15 44.3 84.24 85.96 47.22 94 -43.9 25 21.61 94.92 56.36 80.25 160.8 -15.4 Figure 9 Tether profile of conventional and Winged aerostat at various ambient wind speeds It can be clearly seen that the winged aerostat has much lower BB as well as reduction in VDisp as compared to the conventional aerostat.

One year's data from a representative portion of the SCC-exposed pipeline is shown in figure 1.
Measured strain gauge data from under the composite repair sleeves (figure 6b) compared well with the predictions from modelling.
However, using BS7910 with mean + 2 standard deviation crack growth data growth was conservatively predicted crack in all cases.
However, some cracks grew more rapidly and crack growth was under-predicted with the use of mean data.
The use of the mean + 2 standard deviation data from BS7910 is recommended as it overestimated all observed crack growth.

As the percent replacement increased, the larger percentage of expansion reduction was.
The mixture with 30% BP which yielded expansion below 0.05% at 14 days after acceleration, was chosen to study the effect on strength reduction, compared to the plain mixtures under normal and accelerated conditions.
However this deterioration type has been firstly reported in Thailand in 2009 [2,3] and led to an awareness of the lack of data on local raw materials, which hindered the understanding of the mechanism of local cases of ASR.
The compressive strength reduction at age of 19 day was observed for mixtures using brick powder.
However after accelerated curing, only small reduction in strength of approximately 4% was observed for samples with 30% of brick powder replacement, compared to the similar mixture under normal condition. 5.

Al6061-12 wt% SiC shows reduction in tensile strength in comparison with the other two in spite of improvement in hardness.
Optical micrographs of the samples are taken and identified the presence of dendritic segregation as the actual cause for the (UTS) reduction.
Due to reduction in strength at heat affected zone (HAZ) they do not exhibit perfect endurance limit [1, 2].
Figure 1: Hardness value distribution in the weldment Tensile Strength Figure 2 shows the reduction in tensile strength in as weld condition for 12% SiC compared to 8 & 10% SiC, but hardness value was found to be more.
From the experimental data, it is clear that the tensile properties of the welded joint have improved to a greater extent by the combined effect of homogenizing and age hardening treatment.

Weight reduction are one of the optimizations of the product that can make it stronger and more efficient nowadays.
Titanium alloys offers high strength with low density and high corrosion resistance that is suitable for weight reduction.
Ti-6Al-4V is the most widely used titanium alloy especially for weight reduction application.
Second test had been done to validate the data and the results showing the same pattern.
Thus, high speed cutting of Ti-6Al-4V offers reduction of production time in practice with lower surface roughness.

Weight reduction is the main driving force in automotive and aircraft structural design.
The determining criterion for the structural applications of magnesium alloys is the availability of efficient joining technologies for the construction of lightweight structures and the availability of reliable data for the assessment of their damage tolerance behaviour.
The use of magnesium can contribute significantly to mass reduction due to the combination of its low density, high specific strength, high stiffness, and good castability [1-3].
The reduction of the FCP-rate in the WM could be caused due to intercrystalline crack growth.

In Section 3 we discuss about Data Model.
Data Model The data model should be well integrated with the application in mobile field collection system.
According to the workflow of data collection and different usage of data, the data in the whole system is divided into three kinds: background referencing layer, vector layer for inquiries and navigation, and collected field data layer. 1) Background referencing layer Background layer mainly indicates the layer which displays to be referenced.
Their names and descriptions are all captured into attribute data and they are effectively classified for data query.
REPDRS included the remote sensing data processing technology and the earthquake experiences; it can improve the assessment precision of earthquake damage that will make this kind of system more useful in disaster reduction.

The system collecting data from distribution network would compose the main data platform of power energy management in distribution network.
With these nodal data, the assumptions could be eliminated.
If the meter equipments don’t collect the power or voltage data for faults or other reasons, it is also able to operate data with the load curves.
Without reactive power data, the system assumes that the power factor is fixed; without voltage data, the system makes use of the rated voltage.
a) The data from low-voltage side of transformer.

The method of time serise analysis Using time series for data processing, a few models can be obtained.
Therefore, for every node, there are 3000 acceleration response data and this is large enough for the modeling of ARMA model.
Because the modeling process is a data fitting process, higher the order is, higher precision is.
First we divided the data from normal state into two sections of equal length, the first 1500 acceleration response data is as the reference basis and its corresponding model vector is ΦB = [φ1,B , φ2,B, …, φn,B]T .
Forecasting High-frequency Financial Data with the ARFIMA-ARCH Model [J].

The reduction of energy and gas consumption and shorter lead-times are economic advantages of PADS system.
The reduction of energy and gas consumption was very significant (energy from 800 kW to 500 kW and hydrogen from 120 m3 to 30 m3).
The reduction of energy and gas comsumption are economics advantages of the PADS system.
The reduction in MIM process lead-time achieved with PADS increased significantly Lupatech's productivity.
The reductions of energy and gas consumption as well as lead-time are PADS economic advantages.