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To overcome the shortcoming of single train set of support vector machines (SVM), a novel hybrid model based on dual support vector machines (DSVM) is presented in this paper. The first SVM takes the recent samples in the vicinity of the demand day as its train samples. It can capture the most recent dynamic changing load. The second one takes the same season's load samples in historic years that have the similar attributes with the demand days as its train samples to reflect the season-period rule. Final results can be archived by converging both SVM. The raw dataset related to experiments was obtained from the EUNITE network. The experiments have proved that the accuracy of proposed model is better than traditional one in general and showed this model's feasibility in practical application.

The application of high speed air flow in the textile field represents the frontier development direction in this field. However, the coupling mechanism between air flow and fiber is extremely complicated which greatly limits the development and application of new textile technologies. For this reason, this research study is intended to focus on the common cutting-edge basic scientific problem of the air-flow-fiber coupling mechanism, the vortex spinning technology is taken as a breakthrough point for research. Three-dimensional numerical models of air flow in vortex spinning nozzle and a free-end fiber were established. The hybrid grids including the structured hexahedral grids and the unstructured tetrahedral grids were used to divide the air-flow computational region, the realizable κ- ε model was used to solve the turbulent characteristics of air flow, and the wall function method was used to solve the air flow in the near wall region. The displacement and deformation of a single free-end fiber under the action of the air-flow force was solved by the second-order nonlinear double asymptotic method and interpolation method. The dynamic twist process of a free-end fiber was simulated in three-dimensional space by taking into account the fiber characteristics, such as straightening, bending, and torsion. In addition, a high magnification microscope was used to observe the free-end fiber motion during the spinning process. The results show that the numerical simulation is consistent with the experimental observation, proving that dynamic numerical simulation can solve difficult problems in the unobserved dynamic twisting process, and this deepens the understanding of the spinning mechanism in vortex spinning.

As one of the major classes in the computer science and technology, the most important part of studying Discrete Mathematics is self-study after class. This article provides a method of great validity for students to review after class, to finish assignments and programs, as well as a bilingual assignment for improving the students' English. Students can study with great interest and high efficiency, as well as receiving twice the result with half the effort with the help of correcting the assignments and the new form of the exercise class.

Abstract:The integration of the two is a key on introducing workflow technology in the application systems. However, an inappropriate method easily results in invasive system code, structural damage, tight coupling system, and reduces the flexibility of the systems, increases the difficulty to maintain. Then two integration models were presented, and a new integration method was brought the implementation, which has been put into practice in the job sheet management system of a power supply enterprise.