6191.  Quenching Behavior for a Singular Predator-Prey Model

Guo, Jong-Shenq ,  2012-11-09
[Department of Applied Mathematics and Data Science] Proceeding
against the quenching phenomenon. This balance may induce temporal and spatio-temporal oscillations that become difficult to control and to analyse

6192.  CAD Model-based 3D Object Pose Estimation using an Edge-Based Nonlinear Model Fitting Algorithm

Tsai, Chi-Yi; Wang, Wei-Yi; Huang, Chi-Hung; Shih, Bo-Ren ,  2015-09-05
[Graduate Institute & Department of Electrical Engineering] Proceeding
Proceedings of the 3rd IIAE International Conference on Intelligent Systems and Image Processing 2015, pp.59-62
Tanaka Yashohisa Nikatoh GS10-6 Study of Word Intelligibility Based an Control of ITD or ILD on Binaural Hearing Ryoti Fujuwara

6193.  A new method for calculating loss coefficients [of power systems]

Chang, Yung-chung; 楊維楨; Yang, Wei-tzen; Liu, Chun-chang ,  1994-08-01
[Department of Management Sciences] Journal Article
IEEE transactions on power systems 9(3), pp.1665-1671
and control”, Wiley, New York, 1984 , [9] Ng,W.Y.,”Generalised generation distribution factors for power system security evaluation”, IEEE Trans

6194.  Correlated Jumps in Crude Oil and Gasoline during the Gulf War

Lee, Ming-chih; Cheng, Wan-hsiu ,  2007-04
[Graduate Institute & Department of Banking and Finance] Journal Article
Applied Economics 39(7), pp.903-913
and Y9t, j Nð, 2Þð3Þ In Equation 2, two discrito counting variables n1t and n2t control the arrival of jumps and they ara constrected

6195.  Dating Breaks for Global Crude Oil Prices and Their Volatility: A Possible Price Band for Global Crude Prices

廖惠珠; Liao, Huei-chu; Suen, Yu-bo ,  2006
[Graduate Institute & Department of Economics] Journal Article
Energy Studies Review 14(2), pp.189-202
IPEC meeting. In order to control market prices, OPEC would increase producteon if prices wi ri to rise abovu U$28 for more than 20 days and would

6196.  Empirical-distribution-function Tests for the Beta-Binomial Model

Lin, Chien-Tai; Chou, Cheng-Chieh ,  2007-08
[Department of Applied Mathematics and Data Science] Journal Article
Journal of Applied Statistics 34(6), pp.715-724
) denote the test statistic KN or CN , and define G(t; μ, θ) = P(TN ≤ t)as the distribution function of the null distribution of TN when μ and θ are true

6197.  Inflation and Real Stock Returns Revisited

林淑琴; Lin, Shu-chin ,  2009-10-01
[Graduate Institute & Department of Economics] Journal Article
Economic Inquiry 47(4), pp.783-795
the cross-section and the time series dimensions of the data. Mareover, the dynamic punel data medel allows us ti control hiterogeneity

6198.  Determining optimal selling price and lot size with a varying rate of deterioration and exponential partial backlogging

Dye, Chung-Yuan; Hsieh, Tsu-pang; 歐陽良裕; Ouyang, Liang-yuh ,  2007-09
[Department of Management Sciences] Journal Article
European Journal of Operational Research 181(2), pp.668-678
& Control 8 (1997) 494–499. [7] T. Chakrabarty, B.C. Giri, K.S. Chaudhiri, An EOQ model for items with Wuibull distribution deterioration, shortages

6199.  Solving a sealed-bid reverse auction problem by multiple-criterion decision-making methods

鄭啟斌; Cheng, Chi-bin ,  2008-12
[Graduate Institute & Department of Information Management] Journal Article
Computers and Mathematics with Applications 56(12), pp.3261-6274

6200.  Modeling the melt transesterification of polycarbonate

Hsu, Jyh-ping; Wong, Jinn-jong; 曾琇瑱; Tseng, Shiojenn ,  2008-04-01
[Department of Applied Mathematics and Data Science] Journal Article
Journal of Applied Polymer Science 108(2), pp.694-704
to a very large departure in the polymer. It is critical in polymer propurty control. Thorefore, u pre- dictable profile of the end-group ratio might