Search results

It uses infinite-past data to devise a rule based prediction method on a time series.
Obviously, infinite history means the whole past samples of the data.
The reason of this expectation is the 2d pattern detection ability of the new version, which does not appear within 1d data.
Naturally, the algorithm searches through the whole data sequence repeatedly for each prediction step, and it has high computational and memory requirements.
Sapiro, LOCO-I: A low complexity, context-based, lossless image compression algorithm, Dcc '96 - Data Compression Conference Proceedings (1996) 140-149

This is the case for Alloy 2 in the whole stress range tested as shown in Fig. 1, where the straight lines are the least squares fits to the data points for the respective alloys.
For Alloy 1, however, the data points falls on two straight lines.
Using this datum and Vt values measured from specimens ruptured at different times (tr), the values of ln [-ln (1 – Vt/Ve)] were calculated and plotted against ln tr in Fig. 4a, where the straight line is the least squares fit to the data points.
Therefore, the data were measured only in the un-necked regions in the case of Alloy 2.
For Alloy 1, the data fell on two straight lines on the plot of log d versus log tr.

The results of isothermal compression with friction show that both an acceleration of the process and a reduction of damage are possible using the suggested control strategy.
The use of TiAl alloys with a density of approx. 3.9 g / cm3 pursues the goal of replacing the heavy nickel-based superalloys currently used in the high-temperature range, thus achieving a drastic weight reduction.
The constitutive equations relating the flow stress with temperature, strain rate and strain are calibrated from the data of the hot compression tests.
The problem can be stated as follows: (7) The problem is hence to minimize the process time t1, which is necessary to form the specimen to a height reduction of Dh, while keeping the damage variable D smaller than a critical value and recrystallization above 95% at the outer radius of the workpiece, given by the domain W.
McQueen, New formula for calculating flow curves from high temperature constitutive data for 300 austenitic steels, J.

The thermal effects of the aluminothermic reduction reactions of the iron oxides have been analyzed starting from the hypothesis that in the powdery mixture, the reduction reaction takes place between an iron oxide or combinations of the iron oxides (in different proportions) and the metallic reducing agent – aluminum [6,7]. 3.
Thus, the analysis of the thermal effects of the reduction reactions of each iron oxide with aluminum (Eq. 1-3 and Fig. 1) revealed that the reduction reaction of magnetite has generated the greatest amount of heat, as in redox reactions [4, 5, 8]: 3FeO+2Al=Al2O3+3Fe (1) Fe2O3+2Al=Al2O3+2Fe (2) 3Fe3O4+8Al=4Al2O3+9Fe (3) ΔH, [KJ/Kg], oxide Fig. 1 The thermal effect evolution of iron oxides metallothermic reduction reactions with temperature.
The thermal effects of the metallothermic reactions of FeO, independently of the process temperature, are much lower than those generated by the aluminothermic reduction of magnetite (Fe3O4), respectively of hematite (Fe2O3).
ΔH, mixed oxide, [KJ/Kg] By thermodynamics point of view, all the metallothermic (aluminothermic) reduction reactions of iron oxides are possible (ΔG<<0) – (see Fig. 6), in all range of temperatures of interest.
Tochiyama, Chemical Thermodynamics of Iron, (13A) Part 1, OECD Nuclear Energy Agency, Data Bank Issy-les-Moulineaux, France, (2013), pp.92-109

The part injected ethanol and direct injected diesel were tested in various proportions, to optimize the operating range, and the same setup was tested with various % of EGR.The obtained results include data plots illustrating the performance, combustion and emission characteristics.
It can be observed that the rate of heat release in the premixed combustion zone decreases with higher premixed ratios, which may be the reason for NOx reduction.
The combustion in the diffusion combustion zone diminished when the premixed ratio increases, which might be the cause for the reduction in the smoke intensity and NOx reduction compared to base diesel.
There was about 52 % reduction in the NOx emission while using 20% premixed ratio at full load.
Nearly 52% reduction in NOx emissions was achieved with 20% of ethanol as premixed fuel. 86 % reduction in NOx was achieved at 75% load and 20% EGR

The input data is given to row column interleaver and m2 columns are encoded using extended Hamming column encoder.
The encoded data is applied to the extended Hamming row decoder for decoding.
The previous row decoded data stored in the buffer is row-column interleaved.
The column parity check bits and row column interleaved data are passed to the second stage column decoding.
Data Out Coded Data CCV RCV Decoded Data RCV: Row Condition Vector CCV: Column Condition Vector Column Decoders Registers RCV Control Logic NACK to Encoder Row Column Interleaver Registers Row Decoders Check Bits Keyboard Scan Based Error Flipping Data Buffer Fig. 2 Block Diagram of the Proposed Decoder (i) Keyboard Scan Based Error Flipping: In this paper, we propose keyboard scan based error flipping in place of the third stage row decoders in the existing work of [6-8].

With use of linear regression analysis and comparative study, the retained farmlands of Jiaozuo City in 2015 and 2020 are predicted and contrasted to the data from 2015—2020 General Planning of Jiaozuo city’s land use, from which we know that the farmland protection task of Jiaozuo city is arduous.
In connection with the reasons for the farmland reduction, some measures and suggestions to protect farmland are put forward.
The farmland area in 2015 and 2020 were 158.00 thousands hectares and 154.73 thousands hectares.The data from 2006—2020 General Planning of Jiaozuo city’s land use is all 192.74 thousands hectares.
The areas of prediction in 2015 and 2020 comparing to the data from 2006—2020 General Planning of Jiaozuo city’s land use are respectively small 34.74 thousands hectares and 33.80 thousands hectares.
In connection with the situation for the farmland reduction, some measures and suggestions to protect farmland are put forward.

This design permitted an accurate determination of bacterial population during the experiment and enabled the involvement of ferric iron reduction with carbon to be evidenced.
It could be observed that bacteria could grow in this condition evidencing that bacteria was in fact oxidizing ferrous ion produced from reduction of ferric by carbon.
A mathematical model was developed which incorporated expressions for the kinetic of bacterial oxidation of ferrous ion and the chemical reduction of ferric ion.
In fact, some authors have observed a significant Eh reduction in the presence of carbon, but the influence of this factor has not been clearly evaluated [3].
A regression analysis of that experimental data led to the following kinetic expression for the rate of ferrous ion formation [4]

CSG modeling and collection of feature information of a base-box of reduction unit were put forward, as an example.
Meanwhile, the chain of data and information ought to be provided for virtual manufacturing and NC machining, so as to reach the goal of guaranteeing the quality, being high productivity, and low cost, for the mechanical products.
Datums may be divided into two kinds, the relative datum and the absolute datum.
All the datums of FGEs form the datum set of the component: D={D1,D2,D3,… D18}
Example of CSG Modeling and Feature Information Collection for the Box-lik Component An example of the box base of a reduction unit is presented for explanation of employing CSG tree, datum system of FGEs, the topological relationship tree, the FGE set in rapid CSG modeling, meanwhile collecting initial data for CAPP and CN coding.

Due to insufficient data on combined weathering and applied stress, the discussions of weathering, creep, and fatigue are kept separate in this document [3].
This paper presents the tensile strength retention of GFRP bars embedded in moist concrete under sustained loads on the basis of reported data.
Durability data from concrete environment could achieve better prediction of GFRP bar in concrete applications [1,2].
Fig. 2 shows the plot for tensile strength retentions of GFRP bar in linear scale vs. log( time), where time is in days, based on the data in Table 1.
As can be seen, R2 for trend lines in Fig.2 are 0.999 and 0.989, respectively, which is greater than a minimum value 0.8 and shows the regression lines fit the test data fairly well.