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Either large memory size or a large number of memory accesses leads to high power consumption.
Within each pipeline, a fine-grained node-to-stage mapping is employed to balance the trie node distribution across stages.
Power aware FMML architecture Power model of FMML Eq. 1 is power model of FMML, denotes the number of pipeline. denotes the number of pipeline stages. and denote the power consumption of the memory and of the logic in the ith stage, respectively. denote the number of PPC, DIT and NAT, , , denote the power of them
The number of memory accesses is determined by the and .
denotes the number of nodes at the ith level of.

The coal based data: export name, date , batch, tonnage, ash, ash content, sulfur content, sulfur content of the qualified rate, water content, total water of qualified rate inputted from the client computer, calculate the cumulative tonnage, total ash, total qualified batch number, total sulfur, total qualified number of sulfur content, accumulated water, the accumulated water, qualified batch number and the total number of qualified rate are calculated for all authorized users, online browsing, online management.
The coal code, export name, date, batch, tonnage, ash, ash component, moisture, water, when the number of the gangue quantity, wholesale heat inputted by the client computer, and realize the online management of the data: insert, delete, query, save, print, calculate the cumulative tonnage, total ash the cumulative number of qualified, accumulated water, total qualified batch number and the total number of qualified rate.
In this part, there are four: five analysis of screening of total sample, screening test, float and sink test, the grain size is less than 0.5 mm coal management, and automatic generation of wash-ability curve.

In particular the effect of the leaching process on the surface of the sodalite grains at 90 C from 30 to 150 days has been evidenced.
Pictures taken at the beginning and after different days of leaching show that, especially at 90 C, a major number of holes, presumably due to dissolution phenomena, is present in the borosilicate sample.

Still today, despite the intensive developments over the last two decades, the success of MCFC in the emerging field of clean electricity generation industry remains uncertain for a number of not fully resolved lifetime or performance-limiting factors mostly of which are related to metallic corrosion or corrosion-induced component failures.
The only effect of a long-time exposure is the appearance of some grain boundary attack due to formation of (Cr,Fe)2O3 oxide growing into the metal along the grain boundaries.
Steel Time period (hours) 0-50 500 >5000 316L (Fe,Ni)Cr2O4(i); Fe2O3(e) (Fe,Ni)Cr2O4(i); LiFe5O8(m); LiFeO2(e) (Fe,Ni)Cr2O4(i); LiFeO2(e) 310S Cr2O3(i); Fe2O3(e) LiCrO2(i); LiFeO2(e); (Na,K)2CrO4(s) (Cr,Fe)2O3(gb); LiCrO2(i); LiFeO2(e); (Na,K)2CrO4(s) [(i)= internal oxide growing at metal/scale interface; (m)= middle oxide layer; (e)= external oxide layer growing at scale/melt interface; (s)= oxide soluble in the melt; (gb) = grain boundary oxide attack] Finally, an added complication is that the steel corrosion behavior on the cathode side can be appreciably altered by the simultaneous presence of hydrogen on the anodic side of the cell.
It is noticed a compact and sharp crystalline structure with large grains generally surrounded by smaller ones probably due to a Ostwald ripening mechanism.

Own ones are based on the comprehensive investigation of a number of materials, twelve RE-free and/or REcontaining Fe-(18-20)Cr-(4.5-5.5)Al alloys (compositions in wt. %) and close-to-stoichiometric βNiAl intermetallic compound (with and without Y).
The reason for it is that α-Al2O3 grows via inward oxygen through oxide grain boundaries the fraction of which decreases during oxidation due to the grain growth process.
It is valid for further growth of unstable aluminas which results in blade-like surface morphology (S2-1 in Fig. 4) with less or more developed blade-type grains.
On the other hand, inward growth mechanism component can be brought about by: (i) oxide growth in cracks; and/or (ii) inward grain boundary oxygen transport across α-alumina scale. 0 20 40 60 80 100 120 140 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 Normalized SIMS intensity DEPTH [A.U.] 16 O _ 18 O _ 0 20 40 60 80 100 120 140 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 Normalized SIMS intensity DEPTH [A.U.] 16 O _ 18 O _ 0 20 40 60 80 100 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 Normalized SIMS intensity DEPTH[A.U.] 16 O _ 18 O _ M-1 OUT M-2-1 OUT-INW-1 M2-2 OUT-INW-2 0 20 40 60 80 100 120 140 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 Normalized SIMS intensity DEPTH [A.U.] 16 O _ 18 O _ 0 10 20 30 40 0,0 0,2 0,4 0,6 0,8 1,0 Normalized SIMS Intensity DEPTH [A.U.] 16-16 O 18-18 O 0 10 20 30 40 50 0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8

The parameters of the pore networks, such as radius, coordination number and shape factors of pore and throat are computed.
It is necessary to apply a series of filters to smooth the image, to reduce noise and improve the contrast between grain and void [5].
In this part we compare the three samples in terms of connectivity (coordination number), size distributions (contains inscribed radii, volume, lengths of pores and throats), and shape factors.

The relationship between the deformability and the number of the slip planes is similarly observed in the plane strain compression tests.
Underlined numbers in the parenthesis indicate the numbers of the observed slip planes.
Fig. 3 clearly shows the good correlation between the flow stress and the numbers of the activated slip planes, i.e. flow stress becomes higher with increasing the numbers of the slip planes.
This indicates that heavy cold deformation is expected to become more difficult with increasing the number of required operative slip planes.
Such extensive formation of the stacking faults must be closely related to the development of the parallelograms as well as the absence of equiaxed cells or sub-grain structure inside the parallelograms.

Studying the effects of hybrid reinforcement made of nano-zirconium oxide and chopped glass fibers for poly methyl methacrylate (PMMA) denture bases, nano- ZrO2 (n ZrO2) at grain sizes (46.7 nm) which measured using Atomic Force Microscopy (AFM) and different ratios on the mechanical characteristics was the aim of this study .To make the pure sample, a 2:1 powder to liquid ratio of typical acrylic resin was used.
It has been established that the average grain size of nZrO2 particles is (46.7 nm).
The glass fibers adhered to the fracture plane and protruded.The number of voids created by the drawn glass fibers was higher in group C than in group B.

These PSB are due to the irreversible gliding of dislocations in well oriented grains, leading to intrusions/extrusions.
Discussion As reported previously [2], the dissipative heat sources (leading to the temperature increase) is related to the dislocation gliding in the well oriented grains giving the Persistent Slips Bands on the specimen surface.
The number of cycles at failure was in the range 104 to 106 cycles which corresponds to the High Cycle Fatigue domain.
If the number of active slips bands decreases, it means that the dislocation gliding is impeded by the solute atoms.
For the A42 steel, there was no free solute atoms in the lattice and the number of mobile dislocations is practically unchanged.

The carbide substrate, EMT100, is a micro-grain cemented carbide with 0.8 μm medium grain size and a composition of 93 % tungsten carbide, 6 % cobalt, and 1 % other materials.
The total number of observations belongs to more than 25 aircraft, involving many analyzed tools.
Variable Description Aircraft ID Aircraft identification number Hole ID Identification number of the hole Tool ID Tool identification number Tool type Number defining the type of tool Hole accumulated Number of holes drilled by the tool Date Date of completion of the hole Components materials Material of the parts drilled in a drill operation CFRP thickness Thickness of the CFRP parts per hole in mm Titanium thickness Thickness of the titanium parts per hole in mm Hole total thickness Hole depth in mm Cutting speeds Cutting speeds used to drill each of the part materials in m/min.
Fig. 4 shows the life of each tool when the catastrophic failure occurred based on the number of holes drilled.
Fig. 4: Tool life of each tool when catastrophic failure occurred based on the number of holes drilled.