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A cross-platform three-dimensional (3D) system, Acu3D, was developed to visualize human meridians and acupoints. Firstly, a 3D model of human body with meridians and acupoints was built as the basic data for Acu3D. The existing relevant standards and clinical knowledge were collected and organized to construct a knowledge-base which was integrated into the system. Then, Acu3D was realized leveraged...
This paper describes how to construct the whole body movements model of Japanese Radio Calisthenics, that is able to calculate the joint positions of a body from the less parameters. In order to get the actual data for building the movement model, we did experiments using the optical motion capture system in a three dimensional space. From the data, we presented equations that are able to estimate...
The study on the agriculture model component information resources sharing mode is the basis for the retrieval and management of the agriculture model components in the distributed environment. This study proposed a new approach to use topic map matching and merging to generate the global model documents. First of all, it unified described the attributes, associations and file descriptive information...
Based on the tunable diode laser absorption spectroscopy (TDLAS) gas detection system, simulation models are built up using the dynamic simulation tool. The second harmonic signals of CO with six different concentrations are obtained depending on the simulation models. Regression coefficient is obtained by overall second harmonic least squares fitting of standard second harmonic spectrum signal of...
The study on the crop growth model parallel algorithm is help to improve the computing efficiency of models in the low-cost PC cluster environment. According to the positive feedback characteristic of the crop development simulation model, this study used the partitioning and pipelining technology, and raised the two parallel algorithms, which are the single-node parallel job scheduling algorithm...
Regression is an important prediction method to establish models between variables. The primitive regression algorithms ignore the sample weights, and consider all samples play an equal role in regression. But this kind of algorithms often loses efficacy when dealing with outliers, since outliers disturb the regression models greatly. For traditional switching regression, sample membership varies...
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