• Asian-Australasian Journal of Animal Sciences
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• v.22 no.12
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• pp.1693-1702
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• 2009

Economic values of 14 production and functional traits for two Slovak dairy sheep breeds (Improved Valachian and Tsigai) were calculated. Semi-extensive production systems with one lambing per year were simulated using a bio-economic deterministic computer model. The marginal economic value of a trait was defined as the partial derivative of the profit function with respect to that trait. The relative economic value expressed the percentage proportion of standardized economic value (marginal economic value${\times}$genetic standard deviation) of a trait in the sum of the absolute values of the standardized economic values over all traits. Milk yield was of highest relative importance (26% and 32% in Improved Valachian and Tsigai) followed by productive lifetime and conception rate of ewes (16% and 15% in Improved Valachian and Tsigai, in both traits). Conception rate of female lambs and litter size had nearly the same relative economic importance in both breeds (9% to 11%). Survival rate of lambs at lambing and till weaning reached slightly lower economic values (4% to 7%). The economic importance of all remaining traits was less than 4%.

• Journal of Energy Engineering
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• v.25 no.1
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• pp.48-55
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• 2016

The autoignition temperature (AIT) of a material is the lowest temperature at which the material will spontaneously ignite. The AIT is important index for the safe handling of flammable liquids which constitute the solvent mixtures. This study measured the AITs of n-hexanol+p-xylene system by using ASTM E659 apparatus. The AITs of n-hexanol and p-xylene system which constituted binary system were $275^{\circ}C$ and $557^{\circ}C$, respectively. The experimental AITs of n-hexanol+p-xylene system system were a good agreement with the calculated AITs by the proposed equations with a few A.A.D.(average absolute deviation).

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.2
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• pp.69-74
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• 2013

In this paper, we propose the pattern classification algorithm of recognizing wrist movements based on electromyogram(EMG) to raise the recognition rate. We consider 30 characteristics of EMG signals wirh the root mean square(RMS) and the difference absolute standard deviation value(DASDV) for the extraction of precise features from EMG signals. To get the groups of each wrist movement, we estimated 2-dimension features. On this basis, we divide each group into two parts with mean to compare and promote the recognition rate of pattern classification effectively. For the motion classification based on EMG, the k-nearest neighbor(k-NN) is used. In this paper, the recognition rate is 92.59% and 0.84% higher than the study before.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.30-33
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• 2002

To obtain good performance of radial basis function (RBF) neural networks, it needs very careful consideration in design. The selection of several parameters such as the number of centers and widths of the radial basis functions must be considered carefully since they critically affect the network's performance. We propose a learning algorithm for growing of complexity of RBF neural networks which is adapted automatically according to the complexity of tasks. The algorithm generates a new basis function based on the errors of network, the percentage of decreasing rate of errors and the nearest distance from input data to the center of hidden unit. The RBF's center is located at the point where the maximum of absolute interference error occurs in the input space. The width is calculated based on the standard deviation of distance between the center and inputs data. The steepest descent method is also applied for adjusting the weights, centers, and widths. To demonstrate the performance of the proposed algorithm, general problem of function estimation is evaluated. The results obtained from the simulation show that the proposed algorithm for RBF neural networks yields good performance in terms of convergence and accuracy compared with those obtained by conventional multilayer feedforward networks.

• Journal of Contemporary Eastern Asia
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• v.19 no.1
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• pp.97-122
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• 2020

This paper examines the existence of herd behaviour in fifteen (15) global stock markets, which consist of Developed Markets (Canada, Hong Kong, Japan, Singapore and the United Kingdom), Advanced Emerging Markets (Brazil, Malaysia, Mexico, Poland and South Africa) and Secondary Emerging Markets (Chile, China, Indonesia, the Philippines and Russia) by using Cross Sectional Absolute Deviation (CSAD) method of Chiang and Zheng (2010). It also seeks to explore the impact of social factors such as prosperity, education, ageing society, industry orientation and gender on the existence of market-wide herding. The findings of this paper indicate that herd behaviour exists in Singapore (Developed Market), Mexico, Poland and South Africa (Advanced Emerging Markets) and China and the Philippines (Secondary Emerging Markets). No evidence of herding is observed for Canada, Hong Kong, Japan, United Kingdom, Brazil, Malaysia, Chile, Indonesia and Russia. Ageing society is also found to have significant impact on the existence of herd behaviour. Nonetheless, prosperity, education, industry orientation and gender are found to be insignificant to herding. This study sheds some light on whether social factors determine herding behaviour in the 15 selected stock markets.

• Fire Science and Engineering
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• v.31 no.3
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• pp.19-24
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• 2017

Flammable substances are used in laboratories and industrial process. The flash point (FP) is one of the most important physical properties used to determine the potential for characterizing the fire and explosion hazard of liquids. The FP data at 101.3 kPa were measured for the binary systems {toluene+ethylbenzene}, {methlycyclohenxane+ethylbenzene} and {n-heptane+ ethylbenzene}. The experiments were performed according to the standard test method (ASTM D 3278) using a SETA closed cup flash point tester. The measured FPs were compared with the values predicted using the following activity coefficient models: Wilson, Non-Random Two Liquid (NRTL), and UNIversal QUAsiChemical (UNIQUAC). The average absolute deviation between the predicted and measured lower FP was less than 1.74 K.

• Journal of the Korean Institute of Gas
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• v.20 no.5
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• pp.1-8
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• 2016

The autoignition temperature (AIT) of a substance is the lowest temperature at which the vapor ignites spontaneously from the heat of the environment. The AIT is important index for the safe handling of flammable liquids which constitute the solvent mixtures in the process. This study measured the AITs of n-butanol+p-xylene mixture by using ASTM E659 apparatus. The AITs of n-butanol and p-xylene which constituted binary system were $340^{\circ}C$ and $557^{\circ}C$, respectively. The experimental AITs of n-butanol+p-xylene mixture were a good agreement with the calculated AITs by the proposed equations with a few A.A.D.(average absolute deviation).

• Fire Science and Engineering
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• v.26 no.5
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• pp.48-53
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• 2012

The autoignition temperature (AIT) is important index for the safe handling of flammable liquids which constitute the solvent mixtures. This study measured the AITs and ignition delay time for n-Butanol+sec-Butanol system by using ASTM E659 apparatus. The AITs of n-Butanol and sec-Butanol which constituted binary system were $340^{\circ}C$ and $447^{\circ}C$, respectively. The experimental AITs of n-Butanol+sec-Butanol system were a good agreement with the calculated AITs by the proposed equations with a few A.A.D. (average absolute deviation).

• Fire Science and Engineering
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• v.28 no.4
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• pp.44-49
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• 2014

The autoignition temperaturs (AIT) of solvent mixture is important index for the safe handling of flammable liquids which constitute the solvent mixtures. This study measured the AIT and ignition delay time for Propionic acid and 3-Hexanone system by using ASTM E659 apparatus. The AITs of Propionic acid and 3-Hexanone which constituted binary system were $511^{\circ}C$ and $425^{\circ}C$, respectively. The experimental AIT of Propionic acid and 3-Hexanone system were a good agreement with the calculated AIT by the proposed equations with a few average absolute deviation (A.A.D.). And Propionic acid and 3-Hexanone system was shown the minimum autoignition temperature behavior (MAITB).

• Fire Science and Engineering
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• v.27 no.1
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• pp.8-13
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• 2013

The autoignition temperature (AIT) is important index for the safe handling of flammable liquids which constitute the solvent mixtures. This study measured the AITs and ignition delay time for Benzene and n-Hexane system by using ASTM E659 apparatus. The AITs of Benzene and n-Hexane which constituted binary system were $583^{\circ}C$ and $240^{\circ}C$, respectively. The experimental AITs of Benzene and n-Hexane system were a good agreement with the calculated AITs by the proposed equations with a few A.A.D. (average absolute deviation).