Price decision is studied in a risk-averse retailer-dominated dual-channel supply chain, which consisting of one manufacturers and one retailer with both off-line and on-line channels. Firstly, two mean-variance models in centralized and decentralized supply chain are established. Secondly, the optimal solutions under the two decision modes are compared and analyzed. The results shows that the price of dual-channel of retailer decreased with the increase of retailers’ risk- aversion coefficient and the standard deviation of the fluctuation of market demand, while the wholesale price changes is on the contrary; in addition, when the market demand is greater than a certain value, the prices of dual channel are correspondingly higher in decentralized supply chain than in centralized supply chain, and vice versa. In addition, when the retailer’s risk aversion is in a certain interval, the expected utility of the whole supply chain is greater in centralized supply chain than in decentralized decision, and vice versa. Finally, a numerical example is given to verify the above conclusions.
In the process that the submarine-launched missile exits the water, there is the complex fluid solid coupling phenomenon. Therefore, it is difficult to establish the accurate water-exit dynamic model. In the paper, according to the characteristics of the water-exit motion, based on the traditional method of added mass, considering the added mass changing rate, the water-exit dynamic model is established. And with help of the CFX fluid simulation software, a new calculation method of the added mass that is suit for submarine-launched missile is proposed, which can effectively solve the problem of fluid solid coupling in modeling process. Then by the new calculation method, the change law of the added mass in water-exit process of the missile is obtained. In simulated analysis, for the water-exit process of the missile, by comparing the results of the numerical simulation and the calculation of theoretical model, the effectiveness of the new added mass calculation method and the accuracy of the water-exit dynamic model that considers the added mass changing rate are verified.
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(Objective) In order to increase classification accuracy of tea-category identification (TCI) system, this paper proposed a novel approach. (Method) The proposed methods first extracted 64 color histogram to obtain color information, and 16 wavelet packet entropy to obtain the texture information. With the aim of reducing the 80 features, principal component analysis was harnessed. The reduced features were used as input to generalized eigenvalue proximal support vector machine (GEPSVM). Winner-takes-all (WTA) was used to handle the multiclass problem. Two kernels were tested, linear kernel and Radial basis function (RBF) kernel. Ten repetitions of 10-fold stratified cross validation technique were used to estimate the out-of-sample errors. We named our method as GEPSVM + RBF + WTA and GEPSVM + WTA. (Result) The results showed that PCA reduced the 80 features to merely five with explaining 99.90% of total variance. The recall rate of GEPSVM + RBF + WTA achieved the highest overall recall rate of 97.9%. (Conclusion) This was higher than the result of GEPSVM + WTA and other five state-of-the-art algorithms: back propagation neural network, RBF support vector machine, genetic neural-network, linear discriminant analysis, and fitness-scaling chaotic artificial bee colony artificial neural network.
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(Aim) Abnormal breast can be diagnosed using the digital mammography. Traditional manual interpretation method cannot yield high accuracy. (Method) In this study, we proposed a novel computer-aided diagnosis system for detecting abnormal breasts in mammogram images. First, we segmented the region-of-interest. Next, the weighted-type fractional Fourier transform (WFRFT) was employed to obtain the unified time-frequency spectrum. Third, principal component analysis (PCA) was introduced and used to reduce the spectrum to only 18 principal components. Fourth, feed-forward neural network (FNN) was utilized to generate the classifier. Finally, a novel algorithm-specific parameter free approach, Jaya, was employed to train the classifier. (Results) Our proposed WFRFT + PCA + Jaya-FNN achieved sensitivity of 92.26% ± 3.44%, specificity of 92.28% ± 3.58%, and accuracy of 92.27% ± 3.49%. (Conclusions) The proposed CAD system is effective in detecting abnormal breasts and performs better than 5 state-of-the-art systems. Besides, Jaya is more effective in training FNN than BP, MBP, GA, SA, and PSO.
In this study, it was discovered that a mixture of dodecylamine (DDA)-kerosene demonstrated a stronger collecting ability for pure quartz and higher selectivity for magnetite ore. The relationship between the DDA-kerosene composition and mineral flotation performance on reverse flotation of magnetite ore was investigated. The results showed that floatability of the floating material increased when the DDA consumption increased. Specifically, during flotation, the fine particles (-0.074 mm fraction) selectively floated with DDA-kerosene. The difficult to float coarser particles (+0.074 mm fraction) with high content of quartz, required higher DDA dosage. However, higher DDA input during the flotation process did not necessarily yield better outcomes. The best results were obtained for 40/60 amine-to-oil ratio, as the quartz floated markedly with smaller magnetite loss and the flotation behavior was superior to pure DDA. Magnetite concentrates with 1.83% SiO2 and 71.04% Fe were produced using 120 g/Mg of DDA-kerosene (WDDA=40%).
Learning from the motion principle of quadrotor, a symmetric propeller AUV, which has small size and low velocity is designed. Compared with the AUV equipped with rudders, it has better maneuverability and manipulation at low velocity. According to the Newton-Euler method, the 6 DOF kinematic model and dynamic model of the propeller AUV are established. A stability controller that consists of 3 different PID controllers is designed. It makes the depth and attitude angle as trigger conditions, and the relevant controller is chosen in different moving process. The simulation experiments simulate ideal motion state and disturbed motion state, and experiments results show that the stability controller based on combined sections method can make the best of mature technology of PID, and meet the control requirements in different stages. It has a higher respond speed and accuracy, improving the stability of the propeller AUV under the disturbance of complex ocean currents.
A RIL(recombinant inbred lines) population with 196 F6:9 lines was developed from an F2 population of upland cotton (Gossypium hirsutum L.) cross of sGK9708×0-153. sGK9708 is a commercial transgenic variety with Bt+CpTI genes resistant to budworm and 0-153 with high fibre quality. Five materials with high fibre strength and five materials with low fibre strength from the recombinant inbred lines were researched [1]. Ten materials of super-molecular structure and fibre quality were studied by X-ray diffraction and the HVI900 technique. The results indicated that cotton matured fibre quality should mainly depend on the decrease in the orientational parameter in the crystalline section, especially the orientational separate and orientational distribution angles. The correlation of fibre maturity, linear density and the fibre super-molecular structure is an innovation in the study. Studies on the correlation of cotton fibre quality and the fibre super-molecular structure provide a scientific basis for the improvement cotton fibre quality.
PL
Artykuł dotyczy badań jakości dojrzałych włókien bawełny amerykańskiej Upland i jej struktury nadcząsteczkowej. Uzyskano zmodyfikowany genetycznie gatunek bawełny amerykańskiej Upland za pośrednictwem sztucznego samozapylenia bawełny wykazującej cechy włókniste (linii wsobnej). Dla uzyskanych w opisany sposób włókien bawełny przeprowadzono wszechstronne badania właściwości fizycznych, a także struktury nadcząsteczkowej. Uzyskane wyniki badań skonfrontowano z właściwościami fizycznymi i strukturą nadczasteczkową tradycyjnej bawełny amerykańskiej Upland posiłkując się w tym celu analizą korelacyjną.
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The objective of this paper is to study the reaction performance of methane catalytic combustion on different catalyst and the hydrogen assisted combustion in a monolith honeycomb reactor experimentally. The characteristics of catalytic ignition and reaction with different promoters are investigated for the development of more efficient technology and improvement of precious metal catalyst. This paper presents experimental results on CH4 and H2 assisted catalytic combustion performance of four cordierite-based honeycomb catalyst. The experimental results show that the catalyst with different promoters show different reaction activities, the needed combustor inlet temperature can be lower as the catalyst temperature can be increased by the heat release due to catalytic hydrogen oxidation at lower temperature, the hydrogen addition ensures light-off of ultra low heat value fuel.
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In this paper, we report on a colliding-enhanced cavity. The fluctuation of output energy and divergence angle are in accordance with primary resonator. The results of output energy and fluctuation under different conditions are given
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