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Online since: July 2012
Authors: Yu Xi Cao
Currently, large number of synchronization schemes have been proposed for the sensor network under the assumption that sensors work with the same network structure, network protocol and radio module.
Estrin, “Fine-grained network time synchronization using reference broadcasts,” in Proceedings of the 5th Symposium on Operating Systems Design and Implementation ( OSDI2002 ), 2002, pp. 147–163
Estrin, “Fine-grained network time synchronization using reference broadcasts,” in Proceedings of the 5th Symposium on Operating Systems Design and Implementation ( OSDI2002 ), 2002, pp. 147–163
Online since: July 2011
Authors: Bo Rong Wu, Cun Zhong Zhang, Chun Wei Yang, Feng Wu, Ning Li
After doping, the Lattice constants shifted while the morphology changed only little, revealing that the properties may not be improved by the slight changed grain size but the crystal structure.
The potential interval between the oxidation and reduction peaks turned out a slight decrease, with the cycles number increasing.
The potential interval between the oxidation and reduction peaks turned out a slight decrease, with the cycles number increasing.
Online since: July 2023
Authors: Ki Woo Nam, Ki Hang Shin, Byoung Chul Choi
The steel consists of a small number of large and small inclusions.
A small number of large inclusions significantly affects the properties of steel [2].
In (a), the tensile strength tends to increase as the number of oxides increases.
(a) Number of oxides, (b) Average oxides size.
Liu, Strength-hardness correlations of thermal-exposed oxide dispersion strengthened nickel-based superalloy with different grain size distributions, Materials Characterization, 178 (2021) Article No. 111178. https://doi.org/10.1016/j.matchar.2021.111178 [16] L.
A small number of large inclusions significantly affects the properties of steel [2].
In (a), the tensile strength tends to increase as the number of oxides increases.
(a) Number of oxides, (b) Average oxides size.
Liu, Strength-hardness correlations of thermal-exposed oxide dispersion strengthened nickel-based superalloy with different grain size distributions, Materials Characterization, 178 (2021) Article No. 111178. https://doi.org/10.1016/j.matchar.2021.111178 [16] L.
Online since: April 2021
Authors: Muhammad Musaddique Ali Rafique, Emeodi Christian Emeka
Solidification techniques aimed at grain refinement and tuning of the microstructure are proposed to be the best possible solution strategy.
Any glass forming system consists of elements which must: 1. be three in number (at minimum).
The metal following it is usually found in the form of solidified fine equiaxed grains.
Research Opportunities In the present research, an effort has been made to microstructurally control and tune the properties of Zr-based BMGs by controlling the number density (dc) of a ductile primary phase CuZr-B2 spheroidal intermetallic, its grain size and dispersion within the bulk alloy by conventional and additive manufacturing routes.
Solidification techniques aimed at improvement of microstructure and grain refinement are proposed to be the best possible answers.
Any glass forming system consists of elements which must: 1. be three in number (at minimum).
The metal following it is usually found in the form of solidified fine equiaxed grains.
Research Opportunities In the present research, an effort has been made to microstructurally control and tune the properties of Zr-based BMGs by controlling the number density (dc) of a ductile primary phase CuZr-B2 spheroidal intermetallic, its grain size and dispersion within the bulk alloy by conventional and additive manufacturing routes.
Solidification techniques aimed at improvement of microstructure and grain refinement are proposed to be the best possible answers.
Online since: May 2025
Authors: Sukanta Das, Mudjijana Mudjijana, Ariyana Dwiputra Nugraha, Muhammad Akhsin Muflikhun, Rela Adi Himarosa, Muhammad Kusni, Muhammad Aji Wirasena, Seno Darmanto, Alvin Dio Nugroho, Daffa Alandro, Mahesafin Alna Ramadhan, Muhammad Ibnu Rashyid
A significant increase was obtained with the number of presentations of 1.08% Moisture Content.
The results obtained for the highest hardness indicator were obtained in sample number 5.
All results from this coffee sample are above the indicator number of 90 HA.
Sample numbers 1, namely Arabica raw seeds, received the largest indicator number compared to other samples with a result of 105.6 HA.
Botelho, “Hygroscopic equilibrium and physical properties evaluation affected by parchment presence of coffee grain,” Spanish J.
The results obtained for the highest hardness indicator were obtained in sample number 5.
All results from this coffee sample are above the indicator number of 90 HA.
Sample numbers 1, namely Arabica raw seeds, received the largest indicator number compared to other samples with a result of 105.6 HA.
Botelho, “Hygroscopic equilibrium and physical properties evaluation affected by parchment presence of coffee grain,” Spanish J.
Online since: July 2011
Authors: Xin Min Dong, Jie Han, Wang Shen Hao, Ling Jun Li
There are also plans to increase the number of offshore sites increasing the need for a remote means of WECS monitoring that overcomes some of the difficulties of accessibility problems.
A new breed of web application, dubbed AJAX (Asynchronous JavaScript And XML), has been emerging in response to the limited degree of interactivity in large-grain stateless web interactions [5-6].
A new breed of web application, dubbed AJAX (Asynchronous JavaScript And XML), has been emerging in response to the limited degree of interactivity in large-grain stateless web interactions [5-6].
Online since: November 2022
Authors: Nnaemeka Uwaezuoke, Kevin C. Igwilo, Victor Okoro, Stanley I. Onwukwe, Kingsley C. Iwuanyanwu, Victor C. Ayogu
Element
Number
Element
Symbol
Element
Name
Atomic
Conc.
It is observed that the sample is fine-grained.
The fine-grained surface topography observed was supported by the high surface area result of the BET analysis and low particle size distribution result from the Zetasizer as presented in Figs. 7 and 9.
All quartz grains have about the same hardness and have the ability to resist crushing, a property all proppants must possess.
It is observed that the sample is fine-grained.
The fine-grained surface topography observed was supported by the high surface area result of the BET analysis and low particle size distribution result from the Zetasizer as presented in Figs. 7 and 9.
All quartz grains have about the same hardness and have the ability to resist crushing, a property all proppants must possess.
Online since: May 2014
Authors: Somposh Sudajan, Nirattisak Khongthon
The average number of leaf of each sample was 4.
In addition, these 30 samples of sugarcane trash were used to determine the unit weight at different moisture contents using digital balance, and the number of leaf in each trash was counted.
The average number of leaf was 4 in each trash.
The average number of leaf of each sample was 4.
[7] Ebubekir Altuntas and Mehmet Yildiz, Effect of moisture content on some physical and mechanical properties of faba bean (Vicia faba L.) grains.
In addition, these 30 samples of sugarcane trash were used to determine the unit weight at different moisture contents using digital balance, and the number of leaf in each trash was counted.
The average number of leaf was 4 in each trash.
The average number of leaf of each sample was 4.
[7] Ebubekir Altuntas and Mehmet Yildiz, Effect of moisture content on some physical and mechanical properties of faba bean (Vicia faba L.) grains.
Online since: July 2023
Authors: Marlina Karundeng, Jessica Indah Samuri, Soenandar Milian Tompunu Tengker
Around the Tondano watershed, there are a small number of people who often use the river for their daily needs.
If the grain size of activated carbon is getting smaller, then the surface area of activated carbon is getting bigger so that the adsorption capacity will be bigger.
Each peak has a different intensity and the intensity that occurs is directly proportional to the number of x-ray photons detected at each angle by the detector.
In the results of pyrolysis, an absorption peak appears with a wave number of 3433.29 cm-1 and it is suspected that the presence of an O-H group (3200-3600), while the activation results appear an absorption peak with a wave number of 3425.58 cm-1.
Next appears an absorption peak with a wave number of 1435.04 cm-1 on the pyrolysis results and on the activation results an absorption peak appears at a wave number of 1442.75 cm-1 with a presumed C-H group.
If the grain size of activated carbon is getting smaller, then the surface area of activated carbon is getting bigger so that the adsorption capacity will be bigger.
Each peak has a different intensity and the intensity that occurs is directly proportional to the number of x-ray photons detected at each angle by the detector.
In the results of pyrolysis, an absorption peak appears with a wave number of 3433.29 cm-1 and it is suspected that the presence of an O-H group (3200-3600), while the activation results appear an absorption peak with a wave number of 3425.58 cm-1.
Next appears an absorption peak with a wave number of 1435.04 cm-1 on the pyrolysis results and on the activation results an absorption peak appears at a wave number of 1442.75 cm-1 with a presumed C-H group.
Online since: December 2013
Authors: Xin Jian Guan, Yu Meng, Ze Ning Wu
Let μ(x) ∈[0,1] denote the membership of qualitative concept from x to C which is a random number with stable tendency.
Collect the natural language opinions of N experts on each index, and count the experts` number of each score range, respectively.
The experts` number of each score range of the i-th index is expressed as (N1, N2, N3, N4, N5). 2) Determine each score range`s (Ex, En, He) of the i-th index using the method in Table 5.
The score range (x0, x1) as an example, let (Ex1, En1, He1) denote its expectation, entropy, hyper entropy and let N1 denote the number of experts who select the range.
The number of experts is the number of cloud droplets, and drive one-dimensional forward normal cloud model CG (Ex1, En1, He1, N1) and let c1 denote its maximum membership.
Collect the natural language opinions of N experts on each index, and count the experts` number of each score range, respectively.
The experts` number of each score range of the i-th index is expressed as (N1, N2, N3, N4, N5). 2) Determine each score range`s (Ex, En, He) of the i-th index using the method in Table 5.
The score range (x0, x1) as an example, let (Ex1, En1, He1) denote its expectation, entropy, hyper entropy and let N1 denote the number of experts who select the range.
The number of experts is the number of cloud droplets, and drive one-dimensional forward normal cloud model CG (Ex1, En1, He1, N1) and let c1 denote its maximum membership.