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Online since: February 2013
Authors: Ting Sheng Tu, Zhong Ming Ren, Wei Dong Xuan, Huan Liu
The schematic illustration of the sample for directional solidification is shown in Fig. 1.
Φ40 Φ60 A Φ60 Φ30 B Φ20 Φ60 C (a) (b) Fig. 1 (a) Dimensions of the samples of type A, B and C; (b) manufactured shell mould.
From the Equation (1), with the increase of Gibbs free energy, the activation energy of nucleation decreased, and then the nucleation becomes readily.
References [1] M.
Woodford (Eds.), Superalloys, Minerals Metals & Materials Soc, Champion, Pennsylvania, USA, 1996, pp. 471-479
Φ40 Φ60 A Φ60 Φ30 B Φ20 Φ60 C (a) (b) Fig. 1 (a) Dimensions of the samples of type A, B and C; (b) manufactured shell mould.
From the Equation (1), with the increase of Gibbs free energy, the activation energy of nucleation decreased, and then the nucleation becomes readily.
References [1] M.
Woodford (Eds.), Superalloys, Minerals Metals & Materials Soc, Champion, Pennsylvania, USA, 1996, pp. 471-479
Online since: August 2013
Authors: Shuai Yuan, Lei Guo
That is, nasal consonant syllables occupy 1 / 10 in 410 common used Monosyllabic in Mandarin.
When pronounce Nasal consonants [m], Men's nasal voice is longer than female’s , comparing with table 1 nasal was followed by vowels [o], [e], [i], the length of nasal is longer,,when it followed by vowels [a], [u] nasal consonant is shorter.
Table 1 Length of nasal consonants m (Initial Consonants Table 1) Unit: seconds length m m-a m-o m-e m-i m-u boys Average 0.83 0.06 0.08 0.09 0.11 0.06 Standard deviation 0.13 0.01 0.02 0.02 0.03 0.01 girls Average 0.95 0.07 0.09 0.12 0.13 0.06 Standard deviation 0.19 0.02 0.02 0.03 0.03 0.01 Table 2 Length of nasal consonants n (Initial Consonants Table 1) Unit: seconds length n n-a n-o n-e n-i n-u n-ü boys average 0.77 0.09 0.11 0.12 0.13 0.07 0.06 Standard deviation 0.19 0.01 0.02 0.02 0.03 0.01 0.01 girls average 0.63 0.1 0.11 0.1 0.11 0.04 0.04 Standard deviation 0.14 0.02 0.02 0.03 0.03 0.01 0.01 Figure 3 Boys’ nasal consonant duration charts Figure 4 Girls’ nasal consonant duration charts Above statistics, male’s length of time for single nasal [m] is longer than [n],in the Monosyllabic, male’s length of time for single nasal [n] is longer than [m]. girls’s length of time for single nasal [m] is longer than [n]as well, in the Monosyllabic ,followed
Table 8 Syllable formant frequencies in the nasal consonant F1 F2 F3 ma 273 544 1241 mo 234 483 994 mi 296 545 1015 mu 291 412 871 me 303 520 1031 na 265 536 996 nou 286 479 879 ni 291 459 925 ne 289 534 902 nu 303 491 924 From the Table, the various for F1 F2 F3 when the nasal consonants are followed different vowels.
References [1] Kong Jiangping. voice and diverse multi-modal study of phonetics [J].
When pronounce Nasal consonants [m], Men's nasal voice is longer than female’s , comparing with table 1 nasal was followed by vowels [o], [e], [i], the length of nasal is longer,,when it followed by vowels [a], [u] nasal consonant is shorter.
Table 1 Length of nasal consonants m (Initial Consonants Table 1) Unit: seconds length m m-a m-o m-e m-i m-u boys Average 0.83 0.06 0.08 0.09 0.11 0.06 Standard deviation 0.13 0.01 0.02 0.02 0.03 0.01 girls Average 0.95 0.07 0.09 0.12 0.13 0.06 Standard deviation 0.19 0.02 0.02 0.03 0.03 0.01 Table 2 Length of nasal consonants n (Initial Consonants Table 1) Unit: seconds length n n-a n-o n-e n-i n-u n-ü boys average 0.77 0.09 0.11 0.12 0.13 0.07 0.06 Standard deviation 0.19 0.01 0.02 0.02 0.03 0.01 0.01 girls average 0.63 0.1 0.11 0.1 0.11 0.04 0.04 Standard deviation 0.14 0.02 0.02 0.03 0.03 0.01 0.01 Figure 3 Boys’ nasal consonant duration charts Figure 4 Girls’ nasal consonant duration charts Above statistics, male’s length of time for single nasal [m] is longer than [n],in the Monosyllabic, male’s length of time for single nasal [n] is longer than [m]. girls’s length of time for single nasal [m] is longer than [n]as well, in the Monosyllabic ,followed
Table 8 Syllable formant frequencies in the nasal consonant F1 F2 F3 ma 273 544 1241 mo 234 483 994 mi 296 545 1015 mu 291 412 871 me 303 520 1031 na 265 536 996 nou 286 479 879 ni 291 459 925 ne 289 534 902 nu 303 491 924 From the Table, the various for F1 F2 F3 when the nasal consonants are followed different vowels.
References [1] Kong Jiangping. voice and diverse multi-modal study of phonetics [J].
Online since: December 2014
Authors: Bao Luo Zhang
Among the wind power generation technology, variable-speed constant-frequency (VSCF) method is the development direction of the wind power technology [1].
The Structure of DFIG Generation System and Operation Principle The structure of DFIG wind power generation system is showed in Fig 1.
Fig.1.
References [1] Li Junjun, Wu Zhengqiu, Tan Xunqiong, Chen Bo.
Research on doubly-fed VSCF wind power generator control system [J], Journal of Shengyang University of Technology, 2003 6 (25) 479-481
The Structure of DFIG Generation System and Operation Principle The structure of DFIG wind power generation system is showed in Fig 1.
Fig.1.
References [1] Li Junjun, Wu Zhengqiu, Tan Xunqiong, Chen Bo.
Research on doubly-fed VSCF wind power generator control system [J], Journal of Shengyang University of Technology, 2003 6 (25) 479-481
Online since: June 2017
Authors: Xu Ming Wang, Liu Wei, Jia Xing Wang, Ai Min Zhao, Hui Guo
The needed bearing capacity of a single component increases, therefore, the requirements for material’s performance become higher [1, 2].
Chemical composition of investigated steel is listed in Table 1, and the sampling positions of metallographic, tensile tests and impact tests are shown in Fig.1.
Table 1 Chemical composition of tested steel (wt. %).
From the numerical analysis, the YS is in the range of 409 to 479 MPa, UTS is 584 to 672 MPa, and the data fluctuation is less than 10%.
References [1] H.J.
Chemical composition of investigated steel is listed in Table 1, and the sampling positions of metallographic, tensile tests and impact tests are shown in Fig.1.
Table 1 Chemical composition of tested steel (wt. %).
From the numerical analysis, the YS is in the range of 409 to 479 MPa, UTS is 584 to 672 MPa, and the data fluctuation is less than 10%.
References [1] H.J.
Online since: August 2011
Authors: Yue Ma, Li Ming Yu
The slip interfacial model of a coated system with length L was shown in Fig. 1.
Fig.1 A micro-slip interfacial schematic.
Compared to the interface length, the thickness of the interface region is a negligible quantity (Fig.1), i.e.:.
References [1] H.Y.
Forum, 475~479, 3971(2005) [9] V.R.
Fig.1 A micro-slip interfacial schematic.
Compared to the interface length, the thickness of the interface region is a negligible quantity (Fig.1), i.e.:.
References [1] H.Y.
Forum, 475~479, 3971(2005) [9] V.R.
Online since: August 2014
Authors: Yiannis A. Katsigiannis, Antonis G. Tsikalakis, Emmanuel Karapidakis, Pavlos Georgilakis, Marios Moschakis
Additionally, there are 23 wind parks installed with nominal power of 170MW across the island as it is depicted in Fig.1.
Figure 1 Wind parks allocation in power system of Crete Figure 2 PV plants allocation in power system of Crete Since 2000 the annual wind energy share has been steadily above 10%.
References [1] E.S.
Machine learning for frequency estimation of power systems, Applied Soft Computing Journal, Volume 7, Issue 1, Pages 105-114
Power limitations and energy yield calculation for wind farms operating in island systems, Elsevier, Renewable Energy, 31, (4), pp. 457-479
Figure 1 Wind parks allocation in power system of Crete Figure 2 PV plants allocation in power system of Crete Since 2000 the annual wind energy share has been steadily above 10%.
References [1] E.S.
Machine learning for frequency estimation of power systems, Applied Soft Computing Journal, Volume 7, Issue 1, Pages 105-114
Power limitations and energy yield calculation for wind farms operating in island systems, Elsevier, Renewable Energy, 31, (4), pp. 457-479
Online since: January 2012
Authors: Yong Ping Chen, Ning Jiang
Organization networking is the new development trend of modern enterprises management models, which may make good use of the resources advantages (Shane, 2000) [1] of members in the organizations and acquire the better group advantages and scale advantages.
References [1]Shane S, Venkataraman S.
Academy of Management Review, 2000, 25 (1): 217~226
Transaction Cost and Resource-Based Explanations of Joint Ventures: A Comparison and Synthesis [J].Organization Studies, 2000, 21(1), 215-242
Entrepreneurial strategies for wealth creation[J].Strategic Management Journal, 2001,22:479-491
References [1]Shane S, Venkataraman S.
Academy of Management Review, 2000, 25 (1): 217~226
Transaction Cost and Resource-Based Explanations of Joint Ventures: A Comparison and Synthesis [J].Organization Studies, 2000, 21(1), 215-242
Entrepreneurial strategies for wealth creation[J].Strategic Management Journal, 2001,22:479-491
Online since: April 2013
Authors: Xiaoe Que, Qing Hai Wang, Bo Xiao, Cui Li, Shui Hong Yao
Introduction
Surface waters are most vulnerable to pollution due to their easy accessibility for disposal of wastewaters [1].
No significant difference exited between the pH of treated area and control (p>0.05,Fig. 1).
Fig. 2 Variation of sediment TN of the planted area and the control in Chaohe river Fig. 1 Variation of sediment pH of the planted area and the control in Chaohe river TN.
References [1] K.
Don, Plant Physiol. 93 (1990) 479-483
No significant difference exited between the pH of treated area and control (p>0.05,Fig. 1).
Fig. 2 Variation of sediment TN of the planted area and the control in Chaohe river Fig. 1 Variation of sediment pH of the planted area and the control in Chaohe river TN.
References [1] K.
Don, Plant Physiol. 93 (1990) 479-483
Online since: November 2014
Authors: Lu Mei Qin, Yan Peng Liang, Hong Hu Zeng
Introduction
Ambient water quality criteria refers to as water quality criteria (WQC) that mainly refers to the maximum dose or concentration which pollutants does not produce harmful effects for integrity of aquatic organisms, human and aquatic ecosystem in water [1].It is based on an objective record of scientific experiments and scientific reasoning.
(1)Because of the study of WQC in China had started late and the foundation was weak.
Gui jiaoRen [2010]65), The Guangxi Talent Highland for Hazardous Waste Disposal Industrialization References [1] US EPA, Ambient water quality criteria, Washington DC, US EPA(1980)
Chinese Journal of Pesticide Science, 155(2013)479-489
Environmental Monitoring in China, 01(2014)98-102
(1)Because of the study of WQC in China had started late and the foundation was weak.
Gui jiaoRen [2010]65), The Guangxi Talent Highland for Hazardous Waste Disposal Industrialization References [1] US EPA, Ambient water quality criteria, Washington DC, US EPA(1980)
Chinese Journal of Pesticide Science, 155(2013)479-489
Environmental Monitoring in China, 01(2014)98-102
Online since: September 2013
Authors: Liao Ting
Modes of air distribution in gymnasiums are: (1) lateral air supply, a widely-used mode in which nozzles are commonly adopted; (2) upper air supply, high energy-consuming and generally combined with bottom air return; (3) bottom air supply, air-saving.
Figure 3-1 Evaluation Procedure of Mode of Air Distribution in Gymnasiums Energy Saving of Gymnasium-typed Constructions with Large Space.
Reference [1] Zhao Bin, Li Xianting, Ma Xiaojun, et al.
ASHRAE Transactions, 1983, 89(2B): 455-479
Figure 3-1 Evaluation Procedure of Mode of Air Distribution in Gymnasiums Energy Saving of Gymnasium-typed Constructions with Large Space.
Reference [1] Zhao Bin, Li Xianting, Ma Xiaojun, et al.
ASHRAE Transactions, 1983, 89(2B): 455-479