Papers by Keyword: Measurement Model

Abstract: For axially functionally graded beams with elastic modulus varying through the longitudinal directions, a measurement model for Young's modulus is presented based on the classic Euler-Bernoulli beam theory. When the force and deflection of cantilever beams are measured by the experiment method, the Young's modulus of axially functionally graded beams can be obtained by the measurement model. By the derivation rule of compound functions, the validity of the measurement model is proved. For the axially functionally graded beams with elastic modulus varying according to the power law and the exponential law respectively, the deflection is simulated by the finite element method. The simulated elastic modulus by the model is in accord with the theoretical value well.

Abstract: By using life cycle theory, the main features of exiting data related to building carbon emissions and the various resources used in different building life cycle phases were analyzed in this article. Thus, an operational method for carbon emissions depended on simplified building life cycle was modeling. In addition, this article also verified the feasibility and validity of the model by calculating carbon emissions of one public building in feasibility stage.

Abstract: This paper investigated the bearings-only tracking approach based on dual station detection. In order to solve the problem of strong nonlinearity in bearings –only measurement system, we introduced the unscented filter which is based on the idea of unscented transformation. Compared with traditional extended Kalman filter, unscented filter has shown better convergence and stabiltiy, especially in stabiltiy of tracking waveform. Matlab simulation scenario is taken for illustrating the effectiveness and validity of the unscented filtering algorithm.

Abstract: The existing conventional detection methods ofnitrate nitrogenmostly consume time, cost a lot of moneyand need professionals. This limits the application of soil testing and fertilization technology at the grass-roots level. Therefore, a kind of fast, low-cost and simple operated method of soil nitrate nitrogen is in urgent need. The research of measurement models based on electrochemical principles of soil nitrate nitrogen is carried out in this paper to the issue ofquick access to the information of soil nitrate nitrogen. The linear regression equation is used to establish the mathematical model of electrodes and the binary quadratic regression model is used to study the temperature correction mathematical model of electrodes and finally matlab is used for datasimulation.

Abstract: Collaborative design is a significant method to improve the efficiency of complex product development. In order to reinforce the update and synchronize mechanism of the collaborative working environment, relational design techniques are studied. Taking airplane wing as an example, the relations in product design, manufacturing and measurement stages are analyzed and classified into three types: datum reference relation, parameter relation and non-geometric relation. Then the creation and update methods of the relations of each type are discussed respectively, and they are summarized to a uniform user operation pattern. Finally, a relational design tool is developed and applied in a case study, which validates the feasibility of our methods.

Abstract: In this paper, infrared data correction algorithm is suggested when the environmental conditions such as air temperature or detector substrate temperature are varying. To correct the infrared data, infrared detector measurement model is described by a parameter-dependent first-order input-output equation and the relations between infrared data and model environmental parameters are investigated first. By determining the parameters which dominate the influence on the infrared data, the coefficients of a model are obtained. By using only the measurements of ambient temperatures and detector substrate temperatures, infrared detector output data corrupted by environmental temperature variations are compensated based on the model instead of using any target temperature source equipments. It is shown through experiments that the proposed algorithm can reduce the influence of environmental temperatures on the infrared data.

Abstract: for the economy, political and Consumption habits are different from which of the foreign counties, the authoritative retail service quality perception model abroad Dabholkar is not very fit to the Chinese characteristic economic environment. After constant comparison and research, we take Dabholkar model as the basis and then reviese variables to the model getting an new model that fit to China. At the same time, through researching on 126 consumers in chain supermarkets, we have validated the model we raised is reasonable by use of methods of reliability and validity analysis and confirmatory factor analysis.

Abstract: Through the introduction of potential analysis method, a measurement model of enterprise knowledge management contribution rate is put forward in this paper based on the improved the method of Solow’s residual value, and is estimated by the performance measure of a real estate enterprise for implement knowledge management, then the results have shown that the model and the method have good feasibility.

Abstract: For the lack of self-adaptivity to environments, a measurement model based on weighted information fusion is presented in particle filter. Combined with color information and movement information of object, color histogram and motion Information histogram are built respectively, and then present a weighted linear model as the measurement model. The center-around method is adopted to compute the weight in the linear model. Lastly, a mass of experiments show the presented method be effective.

Abstract: A new SLAM measurement model based on omni-directional vision and odometer is proposed in this paper. A virtual stereo vision composed of an omni-directional vision sensor and an odometer. Scale Invariant Feature Transform is used to extract stable and available vision features from the omni-images. The 3-D locations of these features are initialized by the pixel coordinates and the odometer data by stereo projection, and the locations will be corrected during the SLAM process when they are observed again. It is demonstrated that the new model can make a good accuracy with FastSLAM algorithm, and the accuracy is greatly improved corresponding to the classical vision sensor.