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The Al5Fe2 phase consisted of columnar grains having a {001}-fiber texture.
The lack of bulk material has limited the number of studies on the properties of iron aluminides.
The columnar Al5Fe2 grains possess a pronounced {001} fiber texture (Fig. 3(b),(c)).
This reflects the anisotropic diffusion processes in the [001] direction in the columnar grains in accordance with its anisotropic crystal structure [13].
Additionally, the location of Fe, which remained far behind the maximum growth front of the fringy Al5Fe2 layer in between the columnar Al5Fe2 grains (Fig. 2 and 3), indicates qualitatively that Al is the dominantly mobile species as without DC application [9], albeit it diffuses faster.

Pcurrent={P1, P2 … Pnum}, PcurrentP and num≤n, represents the number of nodes used in the current task scheduling.
Number of chosen applications: 4.
Utilization ratio of resources: r1—75%, r2—67%, r3—67%, r4—100% 2) when all neural cells have the same priority k0, the result is {2,4,5,7,8} Number of chosen applications: 5.
Lewis, “Grain Size Determination for Parallel Processing,” IEEE Software,pp. 23-32, Jan. 2005
Gerasoulis, “DSC: Scheduling Parallel Tasks on an Unbounded Number of Processors,” IEEE Trans.

Shobha2,b 1Assistant Professor, Department of IEM, DSCE, Bangalore, India - 560078 2Assistant Professor, Department of IEM, MSRIT, Bangalore, India-560054 aEmail: vinayashree04@gmail.com, bEmail: shobhamtech@gmail.com Keywords: metal matrix composite, glass fiber, stir casting, hardness, Rockwell Hardness Number (RHN), Ultimate Tensile Strength (UTS) Abstract.
Figure 5 depicts that large amount of inter dendritic Al-Mg2Al3 eutectic (gray) in the matrix of aluminum solid solution with grain boundary clearly defined and inter metallic component being visible.

All the fiber samples were cleaned by Soxhlet extraction with acetone and grain alcohol for 4h, air-dried and then rinsed thoroughly in distilled water to remove reagents, inorganic and proteinaceous materials.
Table 3 Average number of hairs (hairs/m) in different length groups Treatment 1mm 2mm 3mm 4mm 5mm 6mm 7mm 8mm 9mm Untreated 73.71 22.84 10.64 4.42 2.49 1.14 0.78 0.29 0.29 Basolan 81.25 24.55 12.03 5.21 2.75 1.50 1.04 0.48 0.37 Kroy-resin 81.76 27.15 14.01 6.58 3.86 2.19 1.55 0.85 0.76 S3 (hairs/m, number of hairs registered with a length equal to or longer than 3 mm) and Tp(hairs/m, the total number of hairs registered (adding the frequencies of the hairs of different length classes) of spun yarns [4] of control, treated with Basolan®88 and Kroy-resin are shown as Fig. 2.
The numbers of pills of sample treated with Kroy-resin were least in Fig. 3 (c), which probably due to the DFE of wool fiber sample treated with Kroy-resin making it difficult for fiber to move and withdraw in or from yarn and fabric.
The DFE of wool fiber treated with Kroy-resin and the number of hairs (S3) of resulting spun yarn was greatest.
The improved pilling performance observed with the Basolan® 88 and Kroy-resin treatment suggested that the number of hairs was not the only important hairiness aspect that impacted on fabric pilling.

For instance, high performance computing centers may measure work in terms of the number of proteins folded, genomes calculated, or weather models iterated.
Web-search data centers might measure the number of queries served or the number of pages indexed.
However, indexing data at scale presents a number of storage, computational, and energy challenges [6].
Several classes of queries on exascale scientific datasets would thus be more effective if the query engines were tailored around coarse-grained and storage light-weight indexes, e.g., operating by building indexes on the metadata generated by the compression methodology, instead of the actual data.
Fortunately, the execution of many data mining algorithms is dominated by a small number of kernels [3].

The depth of crystallization becomes important for applications such as photovoltaics, which depends on a number of factors; with laser beam shape one of the most significant.
The research has been focused on to realising large grained polycrystalline silicon, with minimum surface roughness occurring upon crystallization. [4] A number of beam shapes has been utilized for crystallization, starting with a "top-hat" profile, as shown in Fig. 1(a).

According to DIFC we build CA _Data Guarder, Provide fine-grained data of isolation and control between multi-tenant and ensure to the safety mechanism can not be easily be bypassed.
(3) Encode( sk, S )→D: S and sk are input, according secret sharing, put out a new file D, D includes n the same size data blck {D1,D2,…, Dn}, this function does the progress of original file separation and redundant storage； (4) Challenge( r )→chal: input is random number r, out put is a challenge number chal, Client make chal, then send it to CSS, ask CSS to do the integrity verification to S
If the result is false, Client can require Repond ( I ) let pk and k data block{Di|1≤ i ≤ k}to be the first input respond number res, Client makes verification to res, then judge which block i is wrong
（7）Restroe({Di|1≤ i ≤ k}: k data block {Di|1≤ i ≤ k} is input, k is the threshold number of secret sharing program, try to recovery a original file from CSS。
before storing data {D1, D2,…, Dn} into cloud, users calculate firstly: Among them, Data IDi is the index of the i data block, Hash (⋅ )is one-way encryption function, User ID is the user’s ID on TTS, Password is used for authentication for users, Timestamp is used to avoid hard attack, c is random number which is chosen by user. cDi is used to find out the wrong data block when it is failed to data integrity verification .

Introduction Important parameters identified that influence the surface quality generated during lapping process for a given workmaterial with given abrasive (material and grain size) are the lapping speed, the lapping load and the abrasive, concentration [1,2].
Taguchi method can extract information more precision and more efficiently, and the number of experiments are be conducted decrease rapidly [3,4,5].
Taguchi method takes Average value ( R ) and signal-to-noise ratio (S/N) as evaluating indicator for optimum design and analysis: ( )irii r j ij i RRR rr R R +++== ∑= L21 1 1 (1) i is for the tested number, r for the number of tested point (r=4).
( ) 2 2 2 1 1 * t t j k j j j Sy G SS t y y t n = =   = − = −     ∑ ∑ (5) where, k is for studied parameters; j level number of the parameter k; jy for average of each of the level under the parameters k; t for the replication of each level of the parameter k; here t=3.
Syj is sum of all trial results involving parameter k level j; n is the total number of trial runs (n=9).

Fig. 3 Increase in the Vickers hardness with the number of passes by ECAE Similar tendency was shown in Fig. 4 for the results of the compressive yield strength.
As the channel angle in the present study is as large as 150º so as to avoid the collapse of the porous structure, the strain in the metal is lower than the usual reference data [5] where the channel angle is 90º and grain refinement is expected. 0 1 2 3 4 5 0 50 100 150 200 250 300 C o m pre ssive yie ld stre n gth / M P a Number of pass of ECAE lotus copper nonporous copper 0 1 2 3 4 5 0 10 20 30 40 S pe cific c o m pre ssive yield strength / M P a Number of pass of ECAE lotus copper nonporous copper Fig. 4 Increase in the yield strength with the number of passes by ECAE Fig. 5 Increase in the yield strength with the number of passes by ECAE Summary ECAE process is effective to increase the Vickers hardness and the yield strength of lotus copper with maintaining the porous structure.
The mechanical properties increase with increasing pass number till several passes and then reach the maximum value.

The HLB (Hydrophile-Lipophile Balance Number) of capsanthin can be calculated from Equation (1).
Table 1 Using different Extraction Solvent Extract Capsanthin numbers solvent chili powder (g) extract amount of capsanthin (g) Abs extraction ratio (%) 1-1 95% ethanol 70 2.381 0.433 3.401 1-2 acetone 70 2.378 0.582 3.400 1-3 petroleum ether 70 1.753 0.578 2.501 1-4 acetone and petroleum ether 70 1.985 0.580 2.832 (2) Selection of the Optimal Extraction Condition The higher the absorbency, the bigger the yield of capsanthin.
Fig. 3 Effect of ratio of chilli to liquor on absorbency Fig. 4 Effect of number of extraction on absorbency (IV) The Optimal Number of Extraction The extraction was conducted with different numbers of extraction at temperature 383.15K, extraction time 3h, ratio of chilli to liquor 1:25.
It is seen from Fig. 4 that the extraction ratio didn’t increase with increasing the numbers of extraction, on the contrast, the solvent and the time was wasted.
Reference [1] Chen Shao-ling, Analysis and Comprehensive Utilization of Chili, Grain Processing. 4 (2002) 52-55