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In this method, the whole ground surfae is completely covered with cubes and the number of cubes is counted.
The minimal number of cubes N(r) can be expressed Eq.1, where r is edge length of cube, C is a constant value and FD is fractal dimension.
Jiao, Experimental study on brittle–ductile transition in elliptical ultrasonic assisted grinding (EUAG) of monocrystal sapphire using single diamond abrasive grain, Int.

The possibility of positive results for this innovative attempt is based on a number of advantages: elimination of diamond crystals pulverization on the surface of hard substrate, increased adhesion between the layers, better infiltration of cobalt and light indentation of diamond crystals in the substrate as well as the likely reduction in cost and time to obtain the cutters.
The wear index is expressed by numbers ranging from near zero to ten, where low scores refer to a relative low wear suffered by the sample, and 10 is the index for the most damaged sample.
In the case of sample 2, it can be observed that the diamond grains are not fully adhered to the substrate.

It can give good polishing results on a number of metallic materials including steels and nickel based alloys.
Numbers 1 and 2 in the key indicate the measurement locations 1 and 2.
Under high magnifications (Figs. 4(b) and (c)), it can be seen that the EP process works uniformly over the surface and the polishing is essentially insensitive to grain orientations or boundaries between pearlitic colonies or between ferrite and pearlite.

In these maps, the numbers against each contour represent the efficiency of power dissipation (η) as percent.
The contour number represents the efficiency of power dissipation η (%) Fig.2.
With the development of power dissipation maps and instability maps, the microstructure characterization (including the elements, phase composition and grain size, etc.) may will be involved in the maps in the future. 4.

Recently, with the rapid development of the Internet of Things, there has been growing interest in providing fine-grained metering and control of living environments using low power devices, sensor networks, especially wireless sensor networks (WSNs) which consist of spatially distributed self-configurable sensors, become a fundamental layer of the Internet of Things and perfectly meet the requirement in various fields, such as intelligent agriculture, intelligent environmental protection, intelligent city, etc., especially working in some particular hostile environments.
Fig. 1 Structure of digital sensors The 64-bit serial number of laser ROM is set up for addressing digital sensors, so that achieving the purpose of mounting a plurality of digital sensors on the single bus [10]. 
The 64-bit laser ROM is organized as follows: The first 8 bits represent the product type, the next 48 bits imply the serial number of the sensor itself, and the last 8 bits are cyclic redundancy check (CRC) of the first 56 bits. 

The number of microprocessor modules can be changed according to practical conditions, and various communication modes can be utilized to transmit information.
The number of modules can be changed according to actual needs. 4) Diverse communication modes: module communication can be carried out by CAN bus network, serial communication of reserved modules in motherboard or even the communication through parallel interface.
[9] Zhao, Lei ; Chen, Geng ; Yu, Wenhua “A novel enhancing technique for parallel FDTD method using processor affinity and NUMA policy, ” Applied Computational Electromagnetics Society Journal ,Vol.27,No8 (2012), P638-645 [10] Park, Junyoung1, Hong, Injoon, “A multi-granularity parallelism object recognition processor with content-aware fine-grained task scheduling,” IEEE Symposium on Low-Power and High-Speed Chips - Proceedings for 2013 COOL Chips XVI (2013).

In the interior, a file is divided by block, and each Datanode can manage a number of blocks, as shown in Figure 1.
As a kind of efficient task scheduling model, MapReduce would divided a job into many more fine-grained sub tasks which can be scheduled among the free nodes to make sure that the faster node can process more tasks and avoiding the slowly node extend completion time.
For a large number of data, there exists noise or inconsistent data.

After cleaned, rock-cuttings samples are classified and numbered.
Then, they are deposited at lucid glass containers in serial numbers shown in Fig.1(b) and (c).
[5] Li Li, Hongbin Liu, Xiangping Yang etal, Study on sedimentation law of cuttings grains in solid/liquid separator, Natural Gas Industry , 2005, 25 (11): 62~65.IN Chinese

Medium-coarse grained sandstone of relatively low textural and compositional maturity of Yunmengshan formation overlays disconformably on the volcanic rock series of underlying Xushanformatiom(Fig. 3).
The basic characteristics of these third-order sequences are that transgressive system tracts and highstand system tracts of the sequences develop medium-coarse feldspathic sandstone which represents high-energy subtidal flat(Fig.E), and a number of thick basal clastic meter-scale cyclicsequence belongs to tidal dynamic type are formed by it and intertidal flat thin-bedded argillaceous sandstone or supratidal flat thin-bedded sandy shale together (ab, ac and ad of Fig.2); in the period of forced regression, thin basal meter-scale cyclic-sequence belong to tidal dynamic type, which is formed by intertidal flat argillaceous sandstone or supratidal flat medium-thin-bedded sandy shale, is developed (bc and cd of Fig.2).
A: purple-red silty shale of the top of Baicaoping formation, B: lenticular bedding within Baicaoping formation, C: wave-generated tidal bundle in the bottom of Baicaoping formation, D: the boundary ofBaicaoping and Yunmengshan formation, E: vein tidal bedding of the top of Yunmengshan formation, DS1-DS4: serial number of third-order sequence, TST: transgressive system tract, HST: highstand system tract, FRST: forced regressivesystem tract.

Those tests were carried out for fine grained materials machined in conventional way by milling and cutting by metallographic saw.
Thus slightly lower numbers of cycles to fracture attained with the SFT samples are expected.
Comparison of sub-sized specimens made by different technologies shown different behaviour at lower number cycles to fracture.