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Online since: December 2013
Authors: Yan Zeng Gao, Ling Yan Wei
According to the characteristics of household activities, home devices can be divided into three categories as shown in Fig. 1. (1) Devices for daily life and security, such devices satisfy basic needs for daily life and security such as shower, fire security etc. (2) Devices for entertainment and leisure, they are major home devices.
Step 1: Add communication interface to part of home devices for convenience of networking.
Fig. 1 Block diagram of home devices Fig. 2.
Fig. 5 Architecture diagram of smart home system Fig. 1 Software architecture of smart home system Fig. 2 Main interface of mobile application References [1] L.
Baoru, “Mobile Internet Oriented Smart Home Systems,” Computer Measurement & Control, no. 02, pp. 474-476+479, 2012
Step 1: Add communication interface to part of home devices for convenience of networking.
Fig. 1 Block diagram of home devices Fig. 2.
Fig. 5 Architecture diagram of smart home system Fig. 1 Software architecture of smart home system Fig. 2 Main interface of mobile application References [1] L.
Baoru, “Mobile Internet Oriented Smart Home Systems,” Computer Measurement & Control, no. 02, pp. 474-476+479, 2012
Online since: October 2015
Authors: Luba Bicejova, Slavko Pavlenko, Ján Kmec
b) Hydrodynamic rules:
1.
a) Physical properties 1.
Table 2 Density and Liquid Compressibility Coefficient Liquid Oil Water Glycerine Mercury r [kg.m-3] 900 1 000 1 220 13 650 b 1011 [Pa-1] 73 50 20 4 4.
References [1] J.
Geoconference SGEM 2013, 16- 22 June, 2013, Albena, Bulgaria, STEF92 Technology, Sofia, 2013, pp. 479-486
a) Physical properties 1.
Table 2 Density and Liquid Compressibility Coefficient Liquid Oil Water Glycerine Mercury r [kg.m-3] 900 1 000 1 220 13 650 b 1011 [Pa-1] 73 50 20 4 4.
References [1] J.
Geoconference SGEM 2013, 16- 22 June, 2013, Albena, Bulgaria, STEF92 Technology, Sofia, 2013, pp. 479-486
Online since: August 2018
Authors: Abdulwahab Giwa, Abel Adekanmi Adeyi, Edmund Iniyemi Yibo
Journal of Engineering Research and Studies, 3(4), 1-4
ARPN Journal of Engineering and Applied Sciences. 8(7), 473-479
ABUAD Journal of Engineering Research and Development, 1(1), 49-60
Chaotic Modeling and Simulation, 2(1), 101-108
ChemCAD 7.1.2.9917.
ARPN Journal of Engineering and Applied Sciences. 8(7), 473-479
ABUAD Journal of Engineering Research and Development, 1(1), 49-60
Chaotic Modeling and Simulation, 2(1), 101-108
ChemCAD 7.1.2.9917.
Online since: January 2018
Authors: Song Mu, Hong Lei Chang, Ya Ya Du, Li Yang
Table 1.
(a) (b) Fig. 1.
References [1] O.
Mater. 302-303 (2006) 479-85
Res. 33(1) (2003) 1-7
(a) (b) Fig. 1.
References [1] O.
Mater. 302-303 (2006) 479-85
Res. 33(1) (2003) 1-7
Online since: February 2023
Authors: Leo Cristobal C. Ambolode II, Alvanh Alem G. Pido, Art Anthony Z. Munio
(1)
References [1] P.
Gu, First-principles insights on the electronic and optical properties of ZnO@ CNT core@ shell nanostructure, Scientific reports, 8(1) (2018) 1-9
Guan, Nanocellulose: Extraction and application, Carbon Resources Conversion, 1(1) (2018) 32-43
Van De Walle, Theory of hydrogen in GaN, Semiconductors and Semimetals, 61 (1999) 479-502
References [1] P.
Gu, First-principles insights on the electronic and optical properties of ZnO@ CNT core@ shell nanostructure, Scientific reports, 8(1) (2018) 1-9
Guan, Nanocellulose: Extraction and application, Carbon Resources Conversion, 1(1) (2018) 32-43
Van De Walle, Theory of hydrogen in GaN, Semiconductors and Semimetals, 61 (1999) 479-502
Online since: June 2024
Authors: Laith Jaafer Habeeb, Hasanain M. Hussain, Elaf Sadeq Barrak
These droplets typically range in size from 1-5 mm and can be dispersed up to a distance of 1-2 meters[8].
Figure 1 shows a specification type of design article.
Fig.1.
References [1] “World Health Organization.
MDPI, pp. 1–26, Oct. 02, 2020. doi: 10.3390/su12208529
Figure 1 shows a specification type of design article.
Fig.1.
References [1] “World Health Organization.
MDPI, pp. 1–26, Oct. 02, 2020. doi: 10.3390/su12208529
Online since: February 2019
Authors: Esen Alp-Erbay, Ahmet Faruk Yeşi̇lsu, Mustafa Türe
Method
2.2.1.
Figure 1.
Table 1.
References [1] V.
Microbiol. 24 (1997) 479 – 482
Figure 1.
Table 1.
References [1] V.
Microbiol. 24 (1997) 479 – 482
Online since: October 2014
Authors: Brian Gabbitas, Fei Yang, Stiliana Raynova, Ming Tu Jia
This is better than the ductility specified for Grade 1 ingot titanium.
References [1] K.
Froes, Titanium Powder Metallurgy: A Review-Part 1, Advanced Materials and Processes, 170 (2012) 16-22
[7] Powder Metallurgy Review, 3 (No. 1), Spring 2014
Sarma, Hardness and tensile properties of Fe-P based alloys made through powder forging technique, Materials Science and Engineering A, Structural materials: Properties, Microstructure and Processing, 479 (1–2) (2008) 164-170
References [1] K.
Froes, Titanium Powder Metallurgy: A Review-Part 1, Advanced Materials and Processes, 170 (2012) 16-22
[7] Powder Metallurgy Review, 3 (No. 1), Spring 2014
Sarma, Hardness and tensile properties of Fe-P based alloys made through powder forging technique, Materials Science and Engineering A, Structural materials: Properties, Microstructure and Processing, 479 (1–2) (2008) 164-170
Online since: January 2020
Authors: Osichinaka Chiedu Ubadike, Paul Olugbeji Jemitola, Osaretin Kole Uhuegho, Christopher Manshop, Ekene Gabriel Okafor
[1 9 3 8 2 7 2 6 3 10 1 5 3 4 9 7 3 4 2 1]
Figure 2 Solution Encoding
2.4.3 Initial Population.
8 4 5 2 9 3 10 3 5 3 1 9 7 1 4 2 1] Figure 3 Crossover 2.4.5 Mutation.
[1 9 3 8 2 7 2 6 3 10 1 5 3 4 9 7 3 4 8 1] [0.81 0.01 0.13 0.91 0.63 0.10 0.28 0.55 0.96 0.95 0.16 0.02 0.95 0.49 0.80 0.14 0.42 0.82 0.79 0.03] [1 10 3 8 2 7 2 6 3 10 1 6 3 4 9 7 3 4 8 2] Figure 4 Mutation 2.4.6 Algorithms.
pn=1.
Transportation Research Part B, Vol. 21, No. 6, 1987, pp. 479–487
8 4 5 2 9 3 10 3 5 3 1 9 7 1 4 2 1] Figure 3 Crossover 2.4.5 Mutation.
[1 9 3 8 2 7 2 6 3 10 1 5 3 4 9 7 3 4 8 1] [0.81 0.01 0.13 0.91 0.63 0.10 0.28 0.55 0.96 0.95 0.16 0.02 0.95 0.49 0.80 0.14 0.42 0.82 0.79 0.03] [1 10 3 8 2 7 2 6 3 10 1 6 3 4 9 7 3 4 8 2] Figure 4 Mutation 2.4.6 Algorithms.
pn=1.
Transportation Research Part B, Vol. 21, No. 6, 1987, pp. 479–487
Online since: February 2014
Authors: Xiao Ning Zhu, Ji Feng Qian, Yong Jun Liu
Constraint (14) and Constraint (15) represents decision variables of 0 or 1.
Berth number berth1 berth2 berth3 Ships Number VB1B VB4B VB7B 0 VB3B VB5B VB8B 0 VB2B VB6B Quay Cranes Number C1B C4 C7 0 B C3 C5B B C8 0 C2 C6 Serve Order 1 2 3 1 2 3 1 2 Figure 1.
Select 10 ship data as the experimental verification in a whole day and night over the planning period in port, it is shown in table 1.
Basic Data of upcoming Vessels Ship Serial Arrive Time Handling quantities(TEU) Prefer Berths Maximum Quay Cranes 1 0:30 950 2 5 2 3:00 1360 1 5 3 4:30 1540 3 6 4 6:30 920 4 6 5 8:30 810 3 6 6 11:30 1420 1 5 7 14:00 1260 2 5 8 17:00 1480 4 6 9 19:10 1060 3 5 10 22:30 1530 1 6 Based on the convergence of the function and the length of solution time, set the relevant parameters of the genetic algorithm through many experiments, population size is 50; the maximum generation is 500; selection probability according to the calculation; crossover probability is 0.9; mutation probability is 0.1.
References [1] Pietro Canonaco, Pasquale Legato, Rina M.
Berth number berth1 berth2 berth3 Ships Number VB1B VB4B VB7B 0 VB3B VB5B VB8B 0 VB2B VB6B Quay Cranes Number C1B C4 C7 0 B C3 C5B B C8 0 C2 C6 Serve Order 1 2 3 1 2 3 1 2 Figure 1.
Select 10 ship data as the experimental verification in a whole day and night over the planning period in port, it is shown in table 1.
Basic Data of upcoming Vessels Ship Serial Arrive Time Handling quantities(TEU) Prefer Berths Maximum Quay Cranes 1 0:30 950 2 5 2 3:00 1360 1 5 3 4:30 1540 3 6 4 6:30 920 4 6 5 8:30 810 3 6 6 11:30 1420 1 5 7 14:00 1260 2 5 8 17:00 1480 4 6 9 19:10 1060 3 5 10 22:30 1530 1 6 Based on the convergence of the function and the length of solution time, set the relevant parameters of the genetic algorithm through many experiments, population size is 50; the maximum generation is 500; selection probability according to the calculation; crossover probability is 0.9; mutation probability is 0.1.
References [1] Pietro Canonaco, Pasquale Legato, Rina M.