Abstract: This paper identifies structural element differences between the business model(BM) with relatively high-level performance and BM with relatively low-level performance through comparison of two cases of the BM with relatively high-level performance and two cases of the BM with relatively low-level performance in terms of ten aspects such as cost structure, revenue mechanism, value proposition, target market, competitive strategy, value configuration, value network, entrepreneur team, capital structure and core competence.
Abstract: This paper examines the relationship between the information systems(IS) strategy and firm performance. It discovers the relationship between each dimension of IS strategy and firm performance, that is, business action support dimension, business decision support dimension and network embeddedness support dimension all show significant positive effect on firm performance. On the other hand, it discovers the different effect of the different IS strategy dimensions working on the firm performance. That is, business action support dimension has the significant positive effect not only on the process performance but also on the outcome performance. Business decision support dimension only has the significant positive effect on the process performance but not on the outcome performance. Network embeddedness support dimension just has the significant positive effect on the outcome performance but not on the process performance.
Abstract: Considering the measurement system for the suspended position of the transparent film in the water, an image processing method based on watershed transform for contour detection has been proposed. The difference between the film and water has been researched by obtaining the image information through the image sensor under special light source. An algorithm of watershed which uses minima imposition to solve the problem of over segmentation for the detection is applied. Depending upon the improved algorithm, which aims to obtain the contour of the film, the target areas in the image integrate together. The result of the position is gained by the image processing technology, which provides the technical basis for automatic operation of catching film in the water.
Abstract: We have investigated the absorption spectra in ultra small diameter single walled boron nanotubes for parallel and perpendicular polarized light as well as unpolarized light. In this paper we have studied absorption spectra for armchair (3,3),zigzag (5,0) and chiral (4,2) boron nanotubes containing 12, 20 and 56 atoms respectively. It is observed that absorption is highest for armchair followed by zigzag and chiral nanotubes. It is also found that absorption is higher for (3,3) and (5,0) nanotubes for perpendicular polarized light as compared to parallel polarized light, whereas chiral nanotube shows higher and wide range of absorption for parallel polarized light instead of perpendicular polarized light. We have compared our results with SWCNT and SWBNNT of same chiral vectors.
Abstract: Ni-Mo alloys have been studied as a prospected cathode for its higher hydrogen evolution reaction properties than other binary compounds. The eletrodeposition parameters and its effects have been investigated in forming Ni-Mo alloys in the present study by measuring the structure and properties of deposits. The forming mechanism of Ni-Mo amorphous deposit is discussed from point of the elements component of view. The X-ray diffraction (XRD) analysis and scanning electron microscopy (SEM) microstructures show that the molybdenum content in the deposit is increased with the molybdate concentration increase, and the deposit structure can be parted several stages- nanocrystal, nanocrystal/amorphous, amorphous, crystalline, or the mixed configuration due to the variation of Mo atom content. The forming mechanism of the deposit of Ni-Mo alloys is attributable to the repulsive aggradations as of the molybdenum chemical properties and electronic shell structure. When the atom rate of Ni/Mo is higher than 0.35, the deposit is the face center cubic (fcc) configuration, while lower than 0.35, the deposit is the monoclinic hexagon crystalloid configuration or body center cubic (bcc) dimensional structure.
Abstract: Detection of vehicles plays an important role in the area of the modern intelligent traffic management. And the pattern recognition is a hot issue in the area of computer vision. This article introduces an Automobile Automatic Recognition System based on image. It begins with the structures of the system. Then detailed methods for implementation are discussed. This system take use of a camera to get traffic images, then after image pretreatment and segmentation, do the works of feature extraction, template matching and pattern recognition, to identify different models and get vehicular traffic statistics. Finally, the implementation of the system is introduced. The algorithms of recognized process were verified in this application case.
Abstract: This paper presents the linear optimal control technique for reducing the chaotic movement of the micro-electro-mechanical Comb Drive system to a small periodic orbit. We analyze the non-linear dynamics in a micro-electro-mechanical Comb Drive and demonstrated that this model has a chaotic behavior. Chaos control problems consist of attempts to stabilize a chaotic system to an equilibrium point, a periodic orbit, or more general, about a given reference trajectory. This technique is applied in analyzes the nonlinear dynamics in an MEMS Comb drive. The simulation results show the identification by linear optimal control is very effective.
Abstract: In this paper we present the results of the use of a methodology for multinodal load forecasting through an artificial neural network-type Multilayer Perceptron, making use of radial basis functions as activation function and the Backpropagation algorithm, as an algorithm to train the network. This methodology allows you to make the prediction at various points in power system, considering different types of consumers (residential, commercial, industrial) of the electric grid, is applied to the problem short-term electric load forecasting (24 hours ahead). We use a database (Centralised Dataset - CDS) provided by the Electricity Commission de New Zealand to this work.
Abstract: As a convenient way for the assembly of thermal plastic MEMS (Micro Electro-Mechanical Systems) devices fusion bonding was studied in molecular level. The diffusion behavior of polymer molecular chains was simulated by molecular dynamics. Amorphous PMMA (poly methyl methacrylate) layer were constructed. The interaction of PMMA layers in heating and cooling stages were simulated in NPT ensemble. In the simulation the PMMA molecular chains spread across the interface and entangled with the chains in the other layers. The factors including pressure and temperature which play important role in fusion bonding were analyzed in molecular level. System deformation was recorded in heating and cooling progress. Diffusion depth and binding energy in the model which had experienced heating and cooling simulation were obtained to investigate fusion degree. Deformation and fusion degree increase with larger pressure and higher temperature imposed to the system. It is concluded that only considering the diffusion of molecular chains parameters of relatively small pressure and high temperature are necessary to obtain precise bonding for micro joint, which is significant in guiding the precise bonding for micro assembly.